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International Conference on Mechanical Engineering and Technology (ICMET-London 2011)

  • Author(s)/Editor(s):
  • Published:
    2011
  • DOI:
    10.1115/1.859896
Description | Details

Proceedings of the 2011 International Conference on Mechanical Engineering and Technology (ICMET 2011) held in London, UK, November 24–25, 2011. ICMET 2011 is a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Mechanical Engineering and Technology, and related interdisciplinary subjects. Those who attended the conference were engineers, scientists, managers of various companies and professors of universities from about 24 different countries and regions. This proceedings covers the subject areas of Mechanical Engineering and Technology, and also covers interdisciplinary subject areas of Computer Science and Technology.

  • Copyright:
    All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. ©  2011  ASME
  • ISBN:
    9780791859896
  • No. of Pages:
    906
  • Order No.:
    859896
Front Matter PUBLIC ACCESS
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  • Session1 : Mechanical Design and Manufacture

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      Numerical calculation method is applied in thermal analysis area with the development of the computer technology. Solid-Fluid whole conjugated heat transfer method can take the mutual influence both the fluid flow and the heat transfer into account. Much more accurate and reasonable temperature fields results can be obtained, which provides the required conditions for the heat stress calculation. The engine model is simplified reasonably and meshed in this paper. Then the whole conjugated heat transfer method is applied to calculate the gasoline engine temperature field. The analysis is carried out on the temperature field, velocity field and heat transfer coefficient results. The results show that the design scheme of the water jacket model meets the cooling need of the new engine. Comparing the calculated results with the experimental ones, great differences are found in local hot regions. More researches on the phenomena and the rules of the boiling heat transfer on the local hot regions in the water jacket of the gasoline engine will be brought out.
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      This paper discussed the problems of design complexity and modeling difficulty for the large wind turbine blades. According to Wilson theory and BEM theory, Matlab was used to calculate chord length, torsional angle and coordinate transformation. The coordinates were outputted automatically. The result obtained from the program was transmitted directly into Pro/E, and the 3D modeling of large wind turbine blades was achieved. This method accomplishes the programming design and the parameterized modeling, thus enhances the efficiency of the design and precision of modeling.
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      An algorithm for environment modeling of mobile service robots based on the binocular stereo vision is presented. Three classical algorithms for environment modeling are emulated and compared. The structure of mobile service robots based on the stereo vision is divided into four sections: perception, modeling, planning, and action. The binocular camera is used to gather information of environment in the section of visual perception. Scale-invariant feature transform is used to collect pairs of stable feature points which are matched in one pair of pictures, and then three dimensional information of feature point will be obtained by using disparity to measure distance. The algorithms of environment modeling describe circumstance with the three dimensional information of environment feature points and match the current pictures being gained to the last pictures. The algorithms of environment modeling can guide the mobile service robots to avoid obstacles and get to the destination safely and reliably through path planning and vision navigation. This paper achieves different mapping methods through simulation experiment and gains the effect of map's use in robot vision navigation and obstacle avoidance experiment.
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      Based on basic principles, operational requirements and key parameters of Seed Rope Direct Sowing Machine(SRDSM), the machine was designed and developed. The structural design of the anti-blocking device, sowing device, opening device, banking device, compacting device and assembly of the seed rope direct sowing machine, have been finished with the assistance of UG. The manufacture and testing of the prototype were carried out. Field test results showed: the machine has good maneuverability and high working efficiency, sowing effect is to meet the operational requirements, and effectively solved the problems of the easy plugging of opener and adjusting difficulty of the numbers of seed in every hole. It provide reference for the research and development of such equipments.
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      This paper analyses several well-known class-cohesion measures in depth and points out their defects. Above all, it states that a class exists in the context of a software system and cannot be isolated because of the existence of interactions between it and the environment. It should be considered that external factors and other classes are capable of affecting the cohesion-measure result for a class. Therefore, we propose a new weighted-LCOM approach to measure class cohesion. Several commonly used measures and the new weighted measure are applied in some experiments to obtain cohesion results, and we prove the superiority, accuracy, and validity of the new measure by comparing these experimental results. The new method represents a new concept for evaluating class cohesion.
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      This study presents a systematic method for concurrently developing the product variety. The proposed method integrates three approaches successively. First, the quality function deployment approach identifies the external driven factors of design variation. Second, the quantified design structure matrix technique is proposed to identify the internal interactions and build the hierarchy of components interactions within a product. Third, the morphology analysis approach is applied to visualize the concepts of the developing product through creating design solutions for every component and module. This approach represents the design priority and related design constrains using a structural graph for helping designers to create design solutions in a product design for variety. A case study is employed to illustrate this method and the result validates the feasibility and effectiveness.
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      An efficient simple mechanical method is introduced to manufacture homogenous carbon nanosheets, having a thickness of the order of nanometer, high shape asymmetry, and a well preserved crystalline order. This mechanical method is based on the grinding of carbon powder under low energy pure shear milling, using liquid nitrogen as lubricant, to ease milling process. Homogenous carbon nanosheets with nanometer thick were synthesized using an efficient method as proved by SEM micrographs.
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      Aiming at the questions of the standardized design of Movement Authority in high-speed train control system, this paper proposed a model of Movement Authority based on the generation of Movement Authority principle of RBC in the CTCS-3 Train Control System. We model the generation process of Movement Authority under the RBC handover mode, which can be achieved dynamic simulation by CPN tools. Finally we can verify the correctness of the principle Movement Authority generate and analyze its performance. This design for the Movement Authority Module provides a standardized method of software design and verification, and then can ensure the RBC control trains normally.
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      Illumination control system is the base and precondition for image measurement because the measuring precision depends largely on high quality image data. The architecture of lamphouse and illumination scheme affect the image quality and edge extracting effect directly.This paper designed an illumination architecture which includes a back light and three direct ring front light lamp houses. A self-adaptive illumination control system based on genetic algorithm was put forward in order to acquire the best quality image of the object. The optimal illumination control parameters aimed at different objects to be measured could be found with the help of intelligent illumination control system. The expert system based on the category of objects to measure was built to accelerate the searching process for optimal control parameters. Experiments show that the proposed strategy can improve the performance of illumination control system greatly.
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      In this paper, a 2DOF parallel proprioceptive mechanism for vehicle driving simulator with 3-leg is proposed. The proposed mechanism, which can realize pitch, roll and vibration motion of vehicle driving simulator, includes the bottom fixed platform, two servo electrical cylinder, one supporting pillar, the top platform and some joints. The kinematic characteristics of the 2DOF are analyzed and some analytic formulae are derived for solving inverse displacement and forward displacement. The analytic results are verified by its simulation mechanism to be consistent with the calculated ones. The proposed mechanism has very simple structure and low development cost, and is easy to regulate position and attitude of vehicle driving simulator.
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      A combination boom mechanism for corn sprayer has been developed in this paper. The new-designed boom mechanism included horizontal boom, vertical boom, flexible connection, branch boom and stir wings. With the combination of the theories and methods of spray distribution uniformity, effective spray droplets coverage, and image processing in MATLAB, the length of the vertical boom and fixed angle of the branch boom were determined as 1200mm and 20°, and the spray scale of combination boom in the vertical plane was 1150mm. Using this combination boom mechanism, the corn plants met an all-direction spray, not only the upper part, but also the middle-lower part of the corn plants were sprayed, and the reverse side of the leaves of plants ould meet more spray droplets, so better spray results was achieved.
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      Introduction of the design method to achieve semi-physical simulation system on the basis of the hydraulic test platform and EASY5 hydraulic system simulation model. Using EASY5 and MATLAB / SIMULIINK co-simulation model, Real-time simulation control was achieved by calling the Windows API Multimedia Timers in MATLAB/SIMULINK to overcome the realtime weaknesses of EASY5; TCP / IP Network Communication was used for data exchange between Simulator and Control machine; man-machine interface of simulator was designed with Visual Basic, to achieve experimental initialization the hardware in the loop simulation system and start the simulation. It can be seen from the test results that the semi-physical simulation system work well.
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      It is an effective way that getting as much room as possible in a dispenser to carry more goods and increasing the scattering efficiency of the dispenser to raise its dispensing performance. According to the applied need of a radial scattering dispenser, a mechanical device which acquires driving force caused by torsion spring to change the relative position between parts of dispenser is designed. Its working performance is calculated and analyzed.
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      LNG (Liquid Natural Gas) is also known as the “green fuel” due to its high value of energy density and environmentally friendly behavior. LNG imports have grown in many countries at a remarkably high rate. On the other hand, technological innovation related to LNG facilities have continued, responding to modern regasification needs, like reduction in power consumption in this process.In order to improve the regasification process, it is possible to couple a vapor compression refrigeration cycle with a LNG regasification system. Energy saving is not the only benefit achieved. By using a green refrigerant, such as ammonia, the stratospheric ozone layer is protected.It is shown that the exergy analysis plays a key role in the optimization of the considered system. By assessing exergy destructions it is possible to determine the first component to be improved.
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      Using computer software “Solid Works” for generate the geometric form of the seal's rings and “ANSYS-9 WORKBENCH” program for the FEM analysis to calculate mechanical stresses and thermal loadings of a mechanical seals as a part of the centrifugal pumps working in an oil refinery.The goal of this analysis is to improve the design of the seal. The analysis was performed for the mechanical seals of the 100P3A and 100P3R pumps of an oil refinery.Two “scenarios” was considered; each them is an “engineering” simulation. To define the simulations we considered as known: the type of material and the material properties; the behavior of the contact surface of rings; the types and the magnitude of the loadings on the ring. As a variable are considered the geometric shape of the rings and loadings. Type of the material of sliding rings: silicon carbide/graphite.For the Scenario No.1, the two sliding rings of the mechanical packing resist to compression stress in the normal running conditions (work in the presence of auxiliary liquid). The two sliding rings resists even in the damage conditions (in the absence of the auxiliary liquid), like we can see in the Scenario No.2.The equivalent stress (Von Misses) had a maximum value in the silicon carbide ring for the both scenarios. The maximum strain (deformation) is in the graphite ring, in the both scenarios and it is 1,3 times greater in the scenario No. 2 (damage running conditions).
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      Orthogonal turn-milling is mainly used in machining big parts. In this paper, we analyzed the cutting force of orthogonal turn-milling in machining micro-miniature parts. Basing on a trochoidal tooth trace we used the cutting force model of helical edge in the analysis. From the geometry of turn-milling we obtained the analytical expressions of cutting thickness, cutting width and other parameters. Thus we could calculate the cutting force with common cutting parameters. In order to verify the results, we also carried out cutting experiments. Compare the two results and we find there is error. Referring to the previous study we assume the error come from the cutting force of end edge. Therefore we draw the conclusion that the cutting force of end edge contributes the most to turn-milling cutting force.
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      In order to reduce labor costs and germs pollution in plant tissue culture industry, an automated system for cutting and transplanting tissue culture seedlings in breeding differentiation period was developed. The system consists of a mechanical part, an image processing part and a control part. The mechanical part performs cutting and transplanting seedlings. The image processing part detects the position of every seedling root in one bottle and the position of every node on one seedling. The control part controls the motion of the mechanical part. In laboratory, the automated system was tested. The result shows that the success rate of the root detection is more than 92% and the average detection time is 266ms, and the success rate of the node detection is approximately 91% and the average detection time is 562ms, and the success rate of taking seedlings is 86.5% and cutting nodes is 89.5%.
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      This paper introduces a drilling experiment table for laboratory use. This table can simulate drilling process and realize hydraulic feeding, rotating, and clamping rock sample. It can also realize stepless speed regulation for rotating system, and control drilling pressure accurately. The host power head can move in two-dimensional space. It forms a sectorial working face, therefore, it can drill at any position of rock sample. A multi-drilling parameters automatic measuring system which developed with configuration software has been also devised. The system can real-timely measure drilling pressure, rotational speed, depth of drill and drilling speed, etc. All the parameters and the real-time curves can be displayed on monitor. A database of the parameters can be built. And drilling reports can be generated.
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      The article focuses at technology development of the combined process of vertical asymmetric rolling and plastic bending. Experimental research showed serious drawbacks in the rolling technology caused by the growth of dynamic loads arising at the moment of plate contact with the bending roller. For solving the problem it was proposed to make the roller position motile to allow its movement along the required trajectory. The application of the motile roller helps to reduce dangerous torque differentiation at working rolls by the value of 1,5–2,5 compared with the rigidly fixed roller. The most effective bending roller trajectory is a second-order curve that is convex parabola.
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      This paper describes the system behaviour so that the system can be managed using adaptation based on characteristic patterns. The aim of the paper is to develop and apply an approach based on artificial neural networks to identify successful patterns for the purpose of follow-up adaptation of the system.
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      The manufacturing, as one of the main links between resource consumption and environmental emissions, is poorly documented in terms of carbon footprint. There lacks a holistic concept to calculate the CO2 emissions emitted in product producing and to recognize the reduction opportunities. On this account this paper proposes a systematic approach to calculation of the emissions with using a hybrid emission analysis model. The paper shifts the perspective of lifecycle assessment (LCA) from the conventional entire product life cycle emphasis to the manufacturing phase. This approach permits identification of opportunities for reducing CO2 emissions at the process level and driving the manufacturing system towards low carbon.
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      The Monomer vertical shelter tankers have been widely used because of their well-hiddenness and economy since 1980s. But the tankers were so narrow and poorly ventilated, that the oil gas in the tanks is hard to diffuse. The concentrative oil gas will cause fire and explosion which forms the high-risk area of oil warehouse. Documentary studies[1][2][3] prove that the airflow in the narrow space of oil tank is “ turbulence”. Numerical simulation of airflow for tankers was carried out on condition of natural and mechanical ventilation, using the computational fluid dynamics (CFD) code CFX5.7 based on k -εturbulence models. Regularities of distribution of oil gas in the tankers was compared and analyzed, and the improvement of reducing the concentration of oil gas was proposed.
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      When stranded-wire helical springs are impacted, the movement of every spring coil will become very complicated owing to various factors, such as the mass, inertia and resonance of spring, the internal friction of steel wires, also the relative slipping during different steel wires of strandedwire helical springs. Base on that, a non-contact and multi-channel detection device of dynamic parameters of stranded-wire helical springs is proposed, which involves the design of mechanical structure, the lectotype and installation of sensors, the hardware and software module of signal acquisition and analysis. This device, combining a novel algorithmic of data processing special for springs, can be used to measure the relationships between displacement and time, velocity and time, acceleration and time for every spring coil. The results show that when stranded-wire helical springs are impacted, all spring coils will vibrate, also this movement will transmit to the fixed end in the form of longitudinal wave and reflect there; the relationship between displacement and axial length of spring coils point is non-linear, the same situation for the relation between velocity and spring coils' position; additionally, in the beginning of impact there is a large deformation in the active end, whereas on the contrary, little deformation in the fixed end while on the other hand there is a large deformation in the fixed end when the wave reaches there and reflects. Therefore, in practical design work of stranded-wire helical springs, it is necessary to analyze the impact response of springs in order to avoid the phenomenon of excessive deformation of some spring coils by selecting reasonable parameters.
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      Microbial carbonate precipitation (MCP) is a process increasingly studied with the goal to exploit it to adapt mechanical soil properties for desired land uses. Fundamental understanding of key processes in MCP is needed in order to obtain a controllable full-scale application. Besides experimental investigations, mathematical modeling can help by creating a logical framework in which experiments can be interpreted and, if developed enough, predictions can be made. In this study we developed a numerical model that takes into account the various processes governing MCP at micro-scale (mm). Processes investigated include fluid flow, solute transport, crystal growth and deposition, and the clogging of pore spaces. These processes take place at a pore scale and have their effects on overall system properties. Although lab-scale experiments have proven helpful in elucidating the basic mechanisms that govern bacterial transport, crystal growth, deposition and detachment in porous media, the presence of physical-chemical and biological heterogeneities in several physical and engineered micro-systems make them extremely difficult and complex to represent experimentally. To investigate these processes at pore scale, a model is developed in which the porous medium is represented as an idealized twodimensional structure. An aqueous influent containing urea and calcium chloride flows by through the porous medium. Solutes are transported by convection and diffusion. Bacteria present on grain surfaces hydrolyze urea, forming ammonium and carbonate ions. Microbial carbonate precipitation occurs in the presence of calcium ions, eventually leading to calcium carbonate crystal formation. The model calculates the growth of a layer of crystals on the grain surface, leading to a narrowing of the pore channels with a concomitant increase in pressure drop and average fluid velocity over the 2-D structure. The results show that this simplified model can be used to identify phenomena that occur in physical experiments and have an effect on the larger scale.
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      Creep and temperature-dependent creep, characteristic of one component polyurethane adhesives for wet and green structural wood glueing such as in glulam are two different parameters. Testing of the best standards-approved commercial polyurethane adhesive for this purpose shows that while ambient temperature creep is limited this is not the case for temperature-dependent creep. The commercial adhesive formulation characteristics that minimize or enhance ambient temperature and temperature-dependent creep are identified.
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      In the paper the effectiveness of neighborhood structures in local search algorithms for flexible job shop scheduling problem on makespan is discussed. For the analysis of the effectiveness neighborhoods N1-N4, NS and NL with GRASP algorithm were used. Experiments with different neighborhoods of the algorithm have been considered and compared. The presented neighborhoods have been tested, and illustrated with examples for serial and serial - parallel routes.
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      Giant magnetostrictive high power transducers usually work under a high intensity and frequency magnetic field. Hysteresis losses and eddy current losses are very heavy. At the same time, giant magnetostrictive materials (GGM) is sensitive to temperature. Therefore heat generation and temperature distribution is very important for the transducer's design. In this paper a high power ultrasonic transducer was designed. The magnetization behavior of GGM in the transducer was characterized by the modified Jiles-Atherton hysteresis model which considers eddy current losses and anomalous losses. Model parameters were determined from the least square fit between experimental values and model values. Various losses were calculated. Temperature distribution of the transducer was calculated with finite element method. Calculation results and experimental results show a good agreement.
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      This paper presents a policy for visualization of large terrains in real-time. Our approach introduces an efficient terrain data structure based on hybrid quadtree, which combines static full resolution and dynamic variable resolution quadtree to organize the whole terrain scene and reduce the level of detail at need. Another feature is taking advantage of GPU to achieve view-frustum culling and terrain blocks updating. We also discuss some system-level aspects such as multithreaded asynchronous implementation of the proposed algorithm, video-memory allocation control, camera position prediction, etc. The presented approach shows a maximal speed increment of 38% for high-quality terrain rendering compare with other similar solutions.
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      Based on wavelet transform has good time-frequency analysis character, wavelet de-noising principle and methods are introduced. Collecting acceleration response of tank when tank car is in pitch condition, using wavelet to de-noising and decompose vibration signals, extracting the low-frequency part and for its Hilbert envelope, and then, obtaining the power spectrum. The paper analyzes how liquid sloshing inside the tank impacts vibration of the car-body when the vehicle obtains an excitation. The results show that: wavelet analysis can better filter interference signal, the existence of the liquid in tank will increase vibration of the car-body, which is adverse to vehicle dynamic performance.
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      Firstly, the model of the leaf spring, which supports the rear driving axle of minibus, was established by using three-link leaf spring model method. In multi-body dynamic simulation software ADAMS, this spring model was employed to calculate its stiffness and guiding characteristics. Then the software, SOLIDWORKS, was integrated to establish the model, including the combined stiff and flexible parts from the gearbox output shaft to the half axle of the driving axle and the rear suspension. With this model, Kinematics and dynamics analysis were performed. The effects of equivalent shaft angle on the vibration characteristics of various important components of the system were also investigated. The results show that when the angles between cross axes in the two universal joints are not equal it causes severe vibration in the important components among the driving shaft-driving axle system. The simulation with high reliability provides a dynamic ride vehicle model for follow-up study.
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      According to the function requirements of CAD system of heat transfer equipment design in thermodynamic fields, data contained in a CAD system and its subsystems of shell-and-tube heat exchanger were analyzed synthetically, and the layout and design of system database were carried out. The framework of system database was presented, and the function and application of databases in the system including physical parameters, engineering materials, geometrical parameters of parts and drawings were discussed. The design and practice of database offer reference for design and application of database in other machinery CAD systems.
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      The particle inconsistency problem significantly influences the calculation accuracy in the smoothed particle hydrodynamics (SPH) method. In the present study, we investigate primarily the influence of the particle inconsistency on the first derivative of field functions and discuss the behavior of several methods of dealing with this problem. In addition, we propose a new approach by which to compensate for this problem, especially for functions having a non-zero second derivative, that is less computational demanding, as compared to the finite particle method (FPM). The performance of the new approach is verified by a series of numerical study in one and two dimensional problems.
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      In this study, a structure of a thin and flexible tactile sensor using pressure conductive rubber is presented. The sensor can cover specific three-dimensional surface, has a total of 36 elements and can measure the pressure in the range 0-600 kPa, approximately. In order to compare the performance of the voltage feedback methods and the zero potential method, which presented in the literature are applied to weaken the crosstalk effect in a resistive array, some simple circuits are structured based on these methods, respectively. Then the effect of some circuit parameters on measurement errors of each circuit is simulated and analyzed and the performance of the circuits to weaken the crosstalk effect is compared. According to the simulation results, the performance of the circuit based on the voltage feedback non-scanned-sampling-electrode method is the best than any others. Therefore, a tactile signal acquiring and processing circuit based on this method is design. At last, experimental results that the crosstalk affects the measurement errors of this circuit are given.
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      Image registration for supper resolution reconstruction plays a paramount part in video-based criminal investigation and judicia1 forensics wherein the re1ated video materials taken from public surveillance system, mobile phones, and so forth are generally very poor in quality, and thus most of the popular super resolution image reconstruction methods fail to obtain satisfactory resultsIn image registration, we defined a new type of control point called dominant point to capture the local variation property of an image. The order relationship between the sorting dominant point sequences, respectively extracted from the reference image and the target image, matches the two images, and at the same time, their location relationship is adopted in projection kernel regression, a new representation for function approximation in KBHS, for coordinate mapping function approximation.
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      To reduce the computational time and cost of running computer-based simulation experiments, metamodels are becoming more and more popular for replacing the simulation codes for design and optimization. In this paper, a gene expression programming (GEP) based kriging method is proposed. In this method, the GEP algorithm is used to create regression functions in kriging metamodels. An asymmetric function is taken as an illustrative example to prove the validity and effectiveness of the proposed method. Compared to the GEP and original kriging methods, the proposed method can achieve more accurate approximation of a high-dimensional design space. The GEP based kriging method can not only improve the prediction performance of the original kriging method if strong trends exist in the original function relationships, but also deal with the approximation of the high-dimensional design space, where GEP shows poor performance.
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      This paper is a part of the study on boom-type roadheader' s directional excavation, providing a theoretical basis for the accuracy of directional excavation. The author has analyzed the characteristics of work environment and developed the strategy of automatic compensation for pose deviation according to four basic pose parameters, on the basis of the key technologies on automatic cutting control and the key technologies on body pose parameters' detection. In this way, the problem caused by pose deviation can be solved, and then, the 16 situations of pose deviation combined by four basic pose parameters can be solved as well.
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      Based on the development of the General-utility design of human-machine interaction (HMI for short) interface, and after the detailed analysis on the idea and technical characteristics of HMI interface, this paper studies the feasibility of the Generalutility design of HMI, according to which it comes up with a design model, it also emphatically elaborates HMI interface's principles and its technical supports. Moreover, the development tendency of General-utility design is properly prospected based on the living design examples at the end of paper.
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      This paper introduces folk toys' value as materialized, realizable carrier of folk game culture from the aspect of folk game culture's development and inheritance. It further suggests that territorial toy design is the effective way and innovative mode of folk game culture's development and inheritance of modern nations and is the way of realizing sustainable development of non-material cultural heritage's protection. It takes the case of Chang yang district and emphatically elaborates territorial toy design's functions in the development and inheritance of folk game culture; it also thinks about the development of territorial toy design.
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      Based on finite element simulation software Dynaform, the influence of process parameters such as blank-holder force (BHF), liquid pressure, gap between die and punch, and friction coefficient on the weld-line movement in hydro-forming deep drawing of square cup using tailor-welded blanks (TWBs) with different thickness has been simulated and investigated. The results show that when Qb ≥ Qh in hydro-forming deep drawing, the effect of the pressure difference between thin and thick blank on the weld-line movement is not so much, while the bottom weld-line movement is reduced effectively by controlling the height of equivalent drawbead during pre- bulging, and the weld-line movement of the sidewall is decreased significantly by increasing the liquid pressure in the die cavity. At the same time, forming limit depth can be improved by increasing the gaps between die and punch. The results of this investigation have the practical significance to guide hydro-forming of tailor-welded blanks.
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      In order to guarantee consistency of workpiece manufactured, grinding the transition surface is an important issue for manufacturing indxable insert. In this study, the paper analyzed systematically indexable-insert for cutting tools designation (ISO 1832-2004), and made use of parametric design method to analyze the geometric features of indexable insert. What is more, on the basis of grinding principles and the point-vector method, the mathematic models of typical transition surfaces of inserts-insert with wiper and chamfer, and insert with nose radius were established. The mathematic models derived are most important part in writing the software which is used to generate automatically programs for manufacturing indexable insert .The idea was that using small planes describe the transition surface of insert, and then a general relationship between those planes and workpiece coordinate system could be established based on the point-vector method. Finally, the simulation examples were done by CAD/CAM to check the correctness of the models. The method presented could be extended to study more complicated transition surface of insert.
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      The identification of flame stability plays a vital role in the industrial production of plants. This paper presents a novel approach to the identification of the flame combustion stability. The various features that can reflect the characteristics of flame signal are extracted from the time and frequency domains of the signal. Based on the principal component analysis (PCA), the five features extracted are compressed into two features, which is very convenient to carry out the pattern identification following. The back-propagation neural network (BP neural network), as a good method of pattern identification, is applied to train the samplings. The results obtained demonstrate that the approach combining principal component analysis and BP neural network is very suitable for the identification of the flame combustion stability. combustion stability.
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      The flow, heat, VOCs and humidity transfer in a cavity partially filled with thin porous medium were concerned in this paper. Two-domain model was founded by considering stress jump conditions at the interface, Brinkman-Forchheimer extended Darcy equation for flow in the porous medium and Navier-Stokes equation for flow in the clear fluid region. Finite element method was used to solve the governing equations with weak constraint condition at the interface. This paper was focused on the influence of Darcy number and stress jump conditions on flow, heat, VOCs and humidity transfer in the composite cavity. The numerical results showed that heat and humidity transfer would be enhanced with increase of Darcy number and stress jump coefficient. And the stress jump coefficient with different Darcy number would induce a specific behavior of VOCs transfer in the enclosure.
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      This study aimed to investigate the effects of grain refinement on forming and brazing characteristics of three-layer 4343/3003/4343 aluminum clad sheets. The clad sheets with 0.7 mm thickness were fabricated by hot roll bonding process. Al-10Ti master alloy was used for grain refining of 3003 Al-Mn core alloy. The Ti inoculation level was changed up to 0.1%. The forming characteristic of the clad sheets was strongly dependent on the recrystallization microstructure feature according to Ti inoculation level and stress relief annealing condition. 0.01∼0.1%Ti inoculation treatment significantly improved the biaxial formability of the clad sheets at room temperature by 2 times or more. Ti solute dissolution of a significant level, 0.06%, from the core layer into the clad layer effectively refined α-Al cells and eutectic Si particles of the resolidified filler layer, resulting in bonding strength increment of the brazed clad sheets. The sagging resistance was improved with increasing Ti inoculation level, because the core strengthening effect due to Ti solute and its intermetallic compound was bigger than the weakening effect due to erosion phenomenon.
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      In case of material testing, the result of a measurement is only an approximation to the value of the measurand and is only complete when it is accompanied of the uncertainty. Computing the reported test result is straightforward; however, computing the uncertainty associated with the test result requires more consideration. The uncertainty evaluation process will encompass a number of influences quantities that affect the result obtained for the measurand In order to quantify the uncertainty we will have to consider all the factors that could influence the results. Material testing measurement process is always doubtful about the value of quantity to be measured which provides the basis for safe working of mechanical components during their operations therefore, Therefore Measurement professionals need to be explain to their clients the value of their work including its limitations.In this paper a methodology is developed for determining the result of measurement concerning the area of material testing and their respective uncertainties. Such methodology, which has a possible systematic application, is associated with guarantee of metrological reliability to the results of measurement in material testing, as well as the possibility of implementation in industrial laboratories, and in the Testing Laboratory Network. With this a mathematical model is developed by using regression analysis to explain the impact of various parameters on the measurement uncertainty and quality of material testing.
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      This paper presents a low-cost solution to compute the attitudes of a tunnel boring machine (TBM) during microtunneling. Given the traditional method, three rotation angles of yaw, pitch and roll can be computed by the coordinates of three observation points on TBM. The improved modeling compensates shortcomings of the traditonal technique. The optimization method is proposed to decide better layout of the three observation points. And then, for concept reducing error due to measurement asynchronism of observation points during tunneling, Kalman filter algorithm is given to predict the coordination of observation points. Finally, Monte Calro simulation shows that the performance of this method is better than those traditional methods. The simulation experiment and measurement experiment both successfully demonstrated the proposed algorithm in terms of:(1) that Kalman filter algorithm reduced the error of attitude measurement;(2) the inhibiting effect of measurement error caused by random noise.
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      This paper to study the difference between direct selling and pyramid schemes start with links to explain the relation ship marketing, database marketing, direct marketing based on customer relations theory and promote consumption an d growth of economic relations. Gomperts model predicts the introduction of the product life cycle and sales relations hips, the final instance through the analysis of the Amway Corporation to provide a balance of direct production cycle worthy example.
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      Brain signals via scalp Electroencephalography (EEG) can be used by patients with severe motor impairments to communicate with their environment. This can be done by brain—computer interface (BCI) system. This work is based upon utilizing the brain signals of a human-being for the extraction of rhythmic activity from one or two channel noninvasively recorded signal using IEEE standard 1057 algorithm and the classification (using SVM ) of important information which can be used to get the control of a robot's navigation without physical strain. The procedure includes acquisition and analysis of brain signals via EEG equipment, development of a classification system using SVM techniques.
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      The popular proportional fairness scheduler (PF) is very suitable for trade-off between system throughput and fairness, but we found a fatal problem when applying it for broadband networks with heterogeneous traffic. Because the PF scheduler only considers the average throughput, it will favor users with low data rate. This paper proposes a generalized PF scheduler which considers the profit instead of the average throughput. Simulation results show that the proposed scheduler can provide better fairness and transient behavior.
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      The present paper develops a Concensus-Based Decentralized expectation-Maximization (CB-DEM) algorithm to estimate the parameters of a mixture density model for use in distributed flow and speed modeling tasks performed with traffic data collected at spatially deployed traffic loop detector (traffic sensors) in a certain freeway network. This algorithm uses traffic measurements including volume, occupancy and mean speed which gathered by some inductive loop detectors. These traffic detectors (traffic sensors) located in certain distances in the freeway network such that they establish a Distributed Sensor Network (DSN). The convincing simulation results for a set field traffic data from the Metro Freeway Network provided by Regional Traffic Management Center (RTMC), a part of Minnesota Department of Transportation (MnDOT) are presented.
  • Session 2 : Electronic & Mechanical Engineering

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      In this paper, the anti-pounding dampers were installed in a high-pier bridge's pounding locations (expansion joints) in longitudinal and transverse directions, under multi-excitation considering the traveling wave effect, the comparative analysis of the seismic response of the high-pier bridge between with and without the anti-collision damper which is set on pounding location were carried out. The anti-collision damper can be effective in preventing collisions between deck beams and between deck beam and block, and the displacements of the bridge piers is limited, internal forces of piers' bottoms greatly reduced, then to reduce the damage to piers, which will help to improve the overall seismic performance. But setting collision damper would also adversely affect the high-pier bridge, can increase the possibility of damage to the deck beams and uncertainty of some bearings' reaction.
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      The experimental research was made on superficial layers laid-down through electrical sparking on the steel carbon OL 37 probes, the used electrode being made from a corrosion resistant material (Aluminum).The experiments where for the superficial treatment through impulse electrical discharges, made with the ELITRON 22A equipment, using an Al electrode of some parallelepiped probes with the surfaces of 0,00127512 m2, from steel carbon OL 37 brand, the probes plane surfaces where previously prepared. Preparing the surfaces presumes a thorough treatment and degrease with a powerful solvent.The treatment through electrical discharges where made manually, the active electrode is under a 60° angle with the treated surface. The probes on which the superficial treatment was made through impulse electrical discharges where individually weighted on the analytic balance at different time intervals, determining the corrosion process speed. The fine determining of the topography surfaces exposed to the action of the corrosive environment was made using the atomic force microscopy (AFM).For a comparative analysis of the effect of the corrosive environment on the superficial treated probes and on the untreated ones, a series of determinations have targeted the analysis of the surfaces of a probe subjected to the corrosive action of the environment, in the same conditions as the superficial treated probes but without the protection of the surfaces of the probe.The lack of the superficial layer permitted the corrosive environment a massive and pronounced attack on the probes material. The images on the original probe, resulted from the atomic force microscopy (AFM), indicate that after the action of the corrosive environment, shows unevenness, with material loss, which can be noted on the whole surface of the probe. In certain higher portions of the probes material, as a result of different phases from the structure, it was “consumed” less intense.
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      The purpose of this research was to create a methodology for adopting the structure of a naval propulsion plant, by an estimate of noise.To choose the best way to approach, first of all, it was performed a study on a simple physical model which consists of a flat plate structure in U. In order to perform the static energy analysis it is formulated a set of equations of power flow for this structure.Vibro-acustic shipboard pollution is a very important issue for all classification societies prestigious as it may negatively affect both resistance vessel structure (shell and bone) influence the safety equipment on board and work and health staff on board.In accordance with the rules of classification societies, vibro-acoustic levels on board must not exceed specific maximum values allowed.
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      The structure of Printing machine is complex, different parts have the same frequency signal in running, so it is very difficult to obtain the fault and status signal. In this paper we present a new method to monitor printing machine condition based on printing image texture. First we collect GATF images from different printing, then use gray level co-occurrence matrices (GLCM) to extract feature from GATF pictures, the features are classified by BP neural network methods, it can reflect part of printing machine condition.
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      S7 communication can be used for Industrial Ethernet, PROFIBUS or MPI network. In this paper, Achieved by PLCSIM between two S7-400PLC based on TCP / IP, S7 communication, Describes the configuration of an S7 communication and programming. For two or more communications between the PLC simulation, PLCSIM the same. PLCSIM also supports MPIbased S7-400 S7 communication and S7-400 DP-based simulation of the S7 communication. The S7 communication network configuration and programming is basically the same, and it can provide some reference value for the analogous project.
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      The design idea of PLC in combination with Touch-screen applying to the reinforced network forming machines welding control system is introduced in the paper. The hardware composition and System working principle are detailed described. The result of operation shows that the control system features flexible Operation, reliable work and convenient maintenance.
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      The Cam-linkage mechanism has been widely used in many print and package machines. This paper proposes a method to simulate the movement of Cam-linkage mechanism using the SIMLINK software. The modules of velocity simulation, acceleration simulation and displacement simulation are designed, and the software of the simulation system is compiled. The kinetic analysis of the Intermittent Rotary Sheet Transfer Mechanism is also simulated by the software. The result of simulation meets the reality. The simulation system is convenient and the accuracy is very high. A large number of tedious deviations of analytic equations and the solution for equations are avoided, such that the intensity of the work is decreased and the efficiency of work is improved.
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      A method to implement the on-machine measurement (OMM) with the touch-trigger probe, also called switching probes is advanced in this paper. Some of the advantages and disadvantages for touch-trigger probe are discussed. An objective function is proposed in this paper to evaluate the minimum zone cylindricity error. The error model is optimized by Genetic Algorithm (GA). The mathematical model may work out the minimum zone solution of cylindricity error with arbitrary position in space, and there are no special requirements in choosing measurement points. A case has been given to prove that the OMM system is useful for online inspection compared with Coordinate Measurement Machine (CMM). The approach can also be extended for solving other form and position errors.
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      Nowadays, various researches about eco-friendly vehicles such as hybrid electric vehicle, fuel cell vehicle and electric vehicle have been actively carried out. Since most of these green cars have electric motors, the regenerative energy technology can be used to improve the fuel economy and the energy efficiency of vehicles. The regenerative brake is an energy recovery mechanism which slows a vehicle by converting its kinetic energy into electric energy, which can be either used immediately or stored until needed. This technology plays a significant role in achieving the high energy usage. However, there are some technical problems in driving safety and ride comfort of the vehicles.In this paper, the Hardware-in-the-loop Simulation (HILS) of Electro-hydraulic Brake (EHB) is performed to analyze the characteristics of the regenerative braking system for fuel cell electric vehicle. The performance simulator of the fuel cell vehicle is developed and transient response characteristics of the regenerative braking system are analyzed in the various driving situations.
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      Recently driven by the increase in resource depletion problem and environmental pollution problem, there are active on-going developments of vehicles using motor as power source like hybrid vehicle, electric vehicle, fuel cell vehicle. Regarding such motor-powered vehicles, various researches are in progress for the enhancement of vehicle efficiency, and one essential technique to enhance vehicle fuel efficiency is the regenerative braking that uses the kinetic energy which is consumed as friction upon braking as power source by storing it in energy storage device like battery and ultra capacitor. In the meantime, recently auto market is seeing development of various techniques considering passenger safety as well as fuel efficiency and power performance. Major examples include ABS(Anti-lock Brake System), TCS(Traction Control System), VDC(Vehicle Dynamics Control) and ASC (Active Steering Control) etc. However, as for the existing control logic for regenerative braking, the logic is focused on the improvement of efficiency for such vehicle only in the development, and thus it involves the shortcoming that researches on the acquisition of vehicle safety or driver's maneuvering convenience fall short. Therefore the active safety device of vehicle proposed in this study was intended to solve the challenge to improve vehicle efficiency and the problem of acquiring safety simultaneously by composing the HILS(hardware in-the-loop simulation) of ABS and developing the logic for the cooperative control of ABS and regenerative braking with the use of it.
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      A new magnetic levitation stage which has two dimensional movements on the horizontal plane is presented. Based on the single-degree-of-freedom magnetic suspension system, the dynamic model of the stage is established. The modal of the stage has been simulated by finite element analysis. The results of the simulation show that the suspension position of the magnetic levitation stage have little relations to the natural frequencies from the first to the fourth. When the magnetic levitation stage located on the central position, the modal shapes of the stage are mainly influenced by the arrangement of the horizontal electromagnets and have little influence on the vertical electromagnets. The modal analysis is helpful for the design of the magnetic levitation stage controller and the optimization of the controller variable.
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      In recent years, polymer-ceramic nanocomposite materials have been given great attention due to the possibility of their use in piezoelectric and pyroelectric transducers. Nanocomposite of polyvinylidene fluoride (PVDF) and barium titnate (BaTiO3) is prepared using cast technique. When infrared spectra were used, it is concluded that pure PVDF and their composite with BaTiO3 exist in the unpoled state (α-phase). It is found that incorporation of BaTiO3 into PVDF has destroyed the spherulite structure and has dispersed in the PVDF matrix with nanosize particles. It is observed that nanocomposite of 30 wt. % of PVDF has the highest pyroelectric coefficient of 1.00 nC/cm2/oC.
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      In this paper, we analyzed the basic principles and structure of microencapsulated electrophoretic display, and designed the electronic blackboard according to its characteristics. This kind of electronic blackboard can realize human-computer interaction and make users' long-term reading more comfortably, which will then be used to substitute the traditional blackboard and chalk.
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      In this paper, the author elaborates the necessity of installing light on life jacket, analyzes structure and principle of wireless charging technology, and designs LED light used for life jacket by taking advantage of this technology. This kind of LED life jacket light has such advantages as high waterproofness, possessing wireless location function, portable and maintenance free, which can be used as supplements and extensions of life jacket products.
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      Through analyzing and calculating structural parameters of preparative plane transcient diode under certain technical index, the paper accomplishes structural design and technological design for transcient voltage suppressor chips and experimental research for chips' manufacturing, which lays the foundation of realizing the series of products.
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      The paper introduced an improved wavelet neural network model based on the certain link between signs and failure of pumping wells. We increased the part of the direct connection between input and output node, and highlighted the correlation of signs input and fault output. The experiment results show that using the improved wavelet neural network for fault diagnosis of pumping wells will greatly enhance the accuracy and speed of pumping wells fault diagnosis.
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      This paper introduced an Auto-tuning method of PIDA based on gain margin and phase margin, named GPM-PIDA. The article first elaborated the basic principles and methods of PIDA setting, then inferred the installation formula in detail, finally obtained the installation criterion. We compared GPM-PIDA and critical proportioning method (ZN PID. Simulation results show that GPM-PIDA has fast convergence, and reduces the stability of the error, and increases the robustness of the system.
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      This paper proposed a automatic cross section cutting and forming control method based on oil cylinder stroke sensor and PCC electrical control system to fulfill the automatic cutting of roadway section in coal mine underground. High precision oil cylinder stroke sensor was used to improve control precision; optimizing cutting processing route of automatic cross section forming to raise the cutting efficiency; the concept of section profile was proposed to control cutting head cutting within the section profile which will be used to achieve the function of arbitrary cross section cutting. The above control method has been verified correct and practicable on PCC electrical control system.
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      Stochastic resonance (SR) and reverse-resonance are induced by trichotomous noise in a prototype damping harmonic oscillator. The Shapiro-Loginov formula is used to get exact expression of output amplitude, and stochastic resonance and reverse-resonance can be observed.
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      In this paper, the lumped parameter mathematical model is established based on the heat transmission process of electronic component inside the sealed electronic components. The heat analysis software SINDA/FLUINT is used to make comparison of the layout of electronic components of the same quantities and conduct the analysis on optimized numerical simulation to design parameters in order to obtain the most optimized design plan concerning component. The heat equation is used to establish heat balance equations and calculate the temperature of node. In addition, the computer-aided design is utilized to accomplish a reasonable, economical, and feasible heat design to meet the indicated temperature control of electronic equipment.
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      Heat pipe radiator is a heat recovery unit of high efficiency. It is widely applied to the electronic equipment systems for its high heat transfer efficiency, small transfer temperature drop, simple structure, easy control and no energy consumption. This paper applied professional heat analysis software SINDA/FLUINT to study on the performance of radiator, and established a radiator bench to test the performance of radiator. The simulated result and testing measurements were compared for argument. It deeply analyzed the application of heat pipe technology in improvement of heat dissipation in electronic industry, which offered theoretical basis for wide application of the technology.
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      Deformation behavior of steel 33Mn2v for oil well tube was studied by hot compression tests conducted at various temperatures and strain rates. The Kumar model was developed to predict the hot deformation behavior of steel 33Mn2V for oil well tube. In this regard, the hot compression tests were carried out at the temperatures from 750°C to 1200°C and at the strain rates of 0.02s—1 to 0.16 s—1. The experimental data were then used to determine the constants of developed constitutive equations. The Kumar model can be represented by Zener-Hollomon parameter in a hyperbolic sinusoidal equation form. The apparent activation energy of deformation is calculated to be 342.1481kJ/Mol. Dynamic recrystallization of steel 33Mn2V occur and the completion of the critical deformation is small, termination error and the initial deformation is smaller. Therefore, it's easy for the steel 33Mn2V to the occurrence and completion of dynamic recrystallization.
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      A 3-D finite element model, including cartilages, menisci and four main ligaments, was developed to investigate the effect of anterior cruciate ligament (ACL) injury on the biomechanics of knee joint. The menisci were assumed to be transversely isotropic and ligaments to be hyperelastic. The biomechanics of tibiofemoral joint were analyzed under 134 N posterior femoral force in three cases, corresponding to intact, 1/3 injured and 2/3 injured ACL. It was found that the highest Mises stress in menisci moved from lateral meniscus to medial meniscus with ACL damage aggravating, which corresponded to the clinical symptom that medial meniscus injury often occurs with chronic ACL injury and lateral meniscus injury often with acute ACL injury. It was also found that force of reaction in ACL did not change significantly with ACL damaging, meaning that the more load MCL supporting did not reduce the load damaged ACL enduring, i.e., the load applied on joint with ACL injury could induce the ACL damage aggravating more quickly.
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      In order to solve the problem of adjusting the poles distance during the aluminum electrolysis responses, it needs to design a laboratory lifter and improve the process of the electrolytic aluminum by simulating. This paper analyzed the structure and working principle of the electrolytic cell lifter control system. The model of dynamic characteristics of asymmetric cylinder controlled by symmetric four-way valve of the system was established. The control performance of the system was simulated and analyzed. By simulating, the value of gain in the model was determined. According to high precision demand of the control system, the influence factors to the control system precision were analyzed, and the error of system was received. The system was calibrated when the system was stable to improve the control system precision.
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      The paper presents results of an investigation to predict impending failure mechanisms of a gearbox drive train in the sub 15MW class of the Siemens gas turbine product range. Particular emphasis is given to the prediction of gearbox failures and inter-connected components. Experimental results from real-time data show that the application of SVM techniques provides an efficient basis for minimising the impact of unscheduled maintenance requirements, on product lifetime and cost for these units.
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      This paper presents a parallel-serial machine tool designed for welding joint trajectory in XY directions. The design features of this machine tool are briefly addressed based on the requirements of FSW process. By analyzing the characteristics of the parallel kinematic part of the hybrid machine tool, a simple and effective method on avoiding collisions between the spindle and the frame of moving platform has been presented. A strategy for applying a continuous welding process on tool paths which are composed of a set of linear segments has been discussed. From the design we demonstrate the advantages of applying hybrid machine tool in two dimensional FSW.
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      This paper presents a generalization of multi-dimensional linear regression to facilitate multi-sensor fault detection and measurement reconstruction via analytical optimization method. Key benefits of the proposed technique are that it facilitates (i) Real-time detection of sensor faults in a multi-sensor system; (ii) Reconstruction of measurements that would normally be expected from the sensor at fault―thereby facilitating improved unit availability; (iii) Determining the minimum number of non-faulty sensors that are required to be available to continue unit operation without unduly compromising performance. The use of an analytical formulation of the optimal correlation matrix to determine (i)-(iii) means that the resulting technique incurs low computational overhead and is readily applied to real-time monitoring and subsequent remedial action. Experimental results demonstrate the efficacy of the developed procedures to facilitate continued unit operation in the event of sensor faults. It should be noted that the proposed techniques are much more widely applicable to numerous industrial and commercial systems.
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      Trend extraction is an important tool for the analysis of data sequences. This paper presents a new methodology for trend extraction based on Empirical Mode Decomposition (EMD) and nonuniform filter banks. Signals are initially decomposed, through use of EMD, into a finite number of intrinsic mode functions (IMFs). The underlying trend is then obtained by adaptively selecting appropriate IMFs obtained by EMD using nonuniform filter banks. Results from experimental trials are included to the proposed method and provide an excellent mechanism for extracting trends in (possibly non-stationary) data.
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      This paper proposes an intelligent condition monitoring methodology based on sparse representation and principal component analysis (PCA), for application to key constituent systems of industrial gas turbine units. The contribution and novelty of the presented methods are i) To detect sensor faults, a method based on the recognition results of PCA, is described; ii) A condition monitoring method based on sparse representation data mining techniques, is proposed; (iii) Even in the presence of measurements from faulted sensors that can still provide some information but may be subject to drift or bias, for instance, it is shown that the condition of an operational unit can be assessed. Experimental results based on data from a 14MW SGT-400 industrial gas turbine are used to demonstrate the efficacy of the developed procedures, although it should be noted that the proposed methodologies are much more widely applicable to many other industrial and commercial systems.
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      This paper designs a biomass gasification cyclone burner and analyzes the effects of the gasphase isothermal flow field of the biomass gasification cyclone with different inlet structures and different inlet section angles using the Fluent software. The distribution of tangential velocity and axial velocity are obtained. Results show that the form of double symmetrical inlets improves axial symmetry of the gas-phase isothermal flow field of the biomass gasification cyclone; the inlets with oblique angles change the position of gas into the cyclone, which greatly reduces the internal local vortex; short circuit flow is very small with 25°. When the entry angle is 25°, tangential velocity reaches maximum; when the tilt angel is 45°, axial velocity reaches maximum. The results of this study will provide a foundation for the development and application of biomass gasification cyclones.
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      In the Beyond Visual Range (BVR) air combat, to occupy a beneficial attacking position is vital in winning of the combat. In this article the fuzzy neural network is adapted to simulate the target's maneuver intension. According to this simulation, a BVR air combat supremacy function model can be set up and it gives aided suggestions on the maneuver strategy, and the timing of the launch of an air-to-air missile, in a one by one basis air combat. Simulate and compare with reality the target's maneuver strategy with or without the back up of the information sources. The simulation results show that the air combat strategic assisting model is valid and it can give effective strategy under different circumstances.
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      To obtain the fusion of the tactical data link and the intelligent fire control system, the data pre-treat module and the target information association module have been designed. The time delay in the data transmission is compensated based on the exponential acceleration prediction model. The target information from various sources has been identified using the fuzzy optimum method. Example has been taken and numerical simulation has been carried out by adopting the coordinates converging algorithm, along with the target information-merging algorithm. Results show that this model can effectively be used in the fusion of the tactical data link and the intelligent fire control system. It is simple, straightforward and can resolve the problem rapidly.
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      Most researchers committed themselves to maximizing the line efficiency so as to balance the mixed-model assembly line in the past few decades. However, the efficiency of the line can also be subject to the overall choice complexity of the tasks assigned to one of the stations. Few researchers made an attempt to balance the line concerning choice complexity. In the paper, the complexity of the tasks is measured with choice complexity which is quantified by information entropy. Furthermore, a genetic algorithm for balancing the line concerning choice complexity is represented with the aim of minimizing the cycle complexity. Several numerical examples illustrate the algorithm and the results show that the genetic algorithm successfully solves the balancing problem concerning choice complexity.
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      Stress jump coefficient at the interface between a porous layer and liquid was investigated for a configuration with natural flow parallel to the interface. An heterogeneous continuously varying interfacial layer between two outer buld regions was introduced. One-domain model in mesoscopic and two-domain model in macroscopic scale were founded respectively. The stress jump coefficient at the interface in two-domain model was determined by comparing with one-domain model based on given permeability and porosity profiles in the intefacial region in mesoscopic scale. The results showed that positive stress jump coefficient would be obtained when the interfacial region was located in the porous medium. Influenced by the flow, the average heat transfer velocity was enhanced with increasing stress jump coefficient.
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      When the pulse reshape filter with fixed parameter is applied to the auto-glue toe lasting machine to suppress the residual vibration, the suppression result is easily influenced by the characteristic of nonlinear time-varying such as parameter variation and load disturbance of machine. This paper analyzes the principle of pulse shaping filter, establishes performance evaluation function based on the error for two pulse reshape filters, uses iterative learning method to realize optimal parameter identification of pulse reshape filter, and updates the filter parameter to ensure optimal performance function throughout. Experiment shows this method has strong robustness against parameter variation of dominant pole of the auto-glue toe lasting machine, suppress the residual vibration and improve the response speed of the system effectively.
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      The profile milling Flying Saw is one of the most advanced Flying Saw around the world whose tracking system is driven by servo motor and sawing system undertakes the profile milling mode. After simple introduction of the working principle of the tracking system, the motion analysis is also performed in detail in this paper. The motion modes of the sawing system when cutting circular and square pipes are provided. The mathematical model and part of the application of cutting square pipe are also provided through analysis. All the methods described above are applied in practice, the cut-to-length accuracy satisfies the UK BS standard and approaches advanced international levels.
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      As an effective strategy of air traffic management, ground-holding has been widely applied. Airport capacity, as a vital part of ground-holding model, has a directly effect on the optimization procedure. In this paper, mass historic date recording was analyzed to create the airport capacity enveloping curve to embody the arrival/departure combination. On this basis, as well as other factors, optimize the flight ground-holding strategy with given time-interval. A case was given in this paper to prove the benefits and practicability of the method of optimization.
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      Due to the nonlinearity of the voltage-current characteristic in photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are employed to maximize the PV cells output power which depends on solar irradiance and temperature. The fixed-step perturbation and observation (P&O) MPPT algorithm is widely used as its easy implementation, but it is difficult to handle both dynamic response and steady-state precision. In this paper, a novel variable step size P&O algorithm based on adaptive neuro-fuzzy inference is proposed, the step size is automatically tuned according to the operating point to track the maximum power point. The theoretical analysis and the design principle of the proposed algorithm are provided and its feasibility is also verified by simulation and experiment results. Compared with the conventional fixed step P&O algorithm, the proposed approach can greatly improve the MPPT response speed and accuracy at steady state simultaneously.
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      In this paper, the adaptive fuzzy sliding mode controller (AFSMC) is designed for ship course controller. By adopting the fuzzy logic system to approximate uncertain function of the ship dynamic system and the switching-type control term in the sliding mode control law, the control law is designed and chattering problem of sliding mode control is relieved. An online adaptive tuning algorithm is also designed. Based on the Lyapunov function, it is proved in theory that the controller makes all signals in the system of ship motion uniformly bounded and tracking errors converging to zero. Simulation studies on the course-keeping and course-changing in the presence of parameter perturbation and environment disturbances have shown that the proposed controller has superior controlling effect and fairly strong robustness.
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      The rod pump oil extraction is applied the most commonly machinery extraction method in the horizontal well. However, there is a big degree of tilt and the dog-leg, underground sucker rod string off-center wear accidents often occur, causes the sucker rod string to break away or the drill tubing breakage finally. This article based on the actual bore hole path establishment horizontal well sucker-rod string's three-dimensional model, carries on the transient state dynamics simulation analysis by using the ANSYS finite element software, and predict offcenter wear position of bar tube, through exerts the centralizer in the off-center wear region to optimize the pole combination, achieves the goal which reduce off-center wear of pole tube, Simultaneously established a set of numerical simulation method which is used for forecasting off-center wear position of the sucker rod and bar tube in horizontal well.
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      Voltage flicker is a major concern of power utility for providing power quantity to consumers. A new technique for estimating flicker voltage envelope is presented in this paper. The technique is based on modeling the flicker voltage as a linear combination of orthogonal sinusoids. A recursive difference equation of the voltage flicker is used to find the linear coefficients. Fuzzy rule-based logic and Hilbert transform are used to estimate signal parameters.
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      The continuous improving of semiconductor technology makes the ubiquity of multicore system. In order to understand the potential performance limitation of various multicore systems, we propose a performance metric, speedup resilience, to evaluate the potential possibility performance enhancement of a multicore system. Instead of theoretical metrics provided by vendors, this study evaluates five variant multicore systems by using four benchmarks with different computing characteristics. These benchmarks are parallelize by Pthread and OpenMP paradigms, then compiled by native compilers of the target machine with highest optimizing level. The speedup resilience of these architectures are provided and discussed later. The proposed results also illustrate that branch density and memory contention will largely degrade the performance. Wish this work will be the preliminary step of who want to explore the optimizing space of the software on multicore systems.
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      It is common in Wireless Sensor Network (WSN) to deploy several to thousands of nodes. In addition to that, it is not easy to maintain sensor nodes e.g. battery change. Thus, there is strong demand on tiny, low cost, energy efficient sensor nodes. In this paper we have designed and implemented miniaturized wireless sensor node using state of the art System-on-Chip technology.
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      This paper, an improved mobile agent for dynamic load balancing by fuzzy logic control (FLCDLB) is presented to maximize the number of the served tasks in developing high performance cluster. This dynamic load balance with the growth of the service type and user number in the mobile networks of the higher performance is required in service provision and throughput. The structure of the load balancing system is composed of three design agents: the load index agent (LIA), the resource management agent (RMA) and the load transfer agent (LTA). The FLC-DLB exhibits better adaptability, robustness, and fault-tolerant capability thus yielding better performance compared to other algorithms. Through simulations, evaluate the response time, turnaround time and throughput to judge the performance of the proposed method. These results demonstrate that the proposed method have high throughput, short response time, turnaround time, less agent host negotiate complexity and tasks transferring overhead.
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      Based on the advantages of PID control and fuzzy control, fuzzy control and PID control were combined in this paper, meanwhile, the method of variable universe was adopted. In this paper, variable-universe and self-adaptive fuzzy PID controller was designed and utilized in a DC motor model to achieve the speed control of the DC motor. This paper used the tool of Matlab to complete this system's feasibility study and took the simulation results comparing with the PID control simulation results. The results showed that the control performance of the variable-universe and self-adaptive fuzzy PID controller is obviously better than PID control.
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      In mathematics, chaos theory describes the behavior of certain dynamical systems — that is, systems whose states evolve with time — that manifests as an exponential growth of perturbations. Chaos in engineering systems such as nonlinear circuits has gradually moved from being simply a curious phenomenon to one with practical significance and applications. Chaos has been found to be useful or have great potential in many disciplines such as in high-performance circuit design for telecommunication and biomedical engineering applications. The Lorenz system is the first classical chaotic system, the general Lorenz system family is a natural generalization of the classical Lorenz system, which has a similar double-scroll butterfly-like attractor. Chua oscillator is the most famous electrical circuit to exemplify chaos. In the study of this circuit, we will show that the system possesses a strange attractor called the Double Scroll, has well chaotic attractors. In this paper, Models of generalized Lorenz system family and Chua's circuit are established, numerical simulations are presented graphically.
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      In thermal power plant, the superheated steam temperature affect both the security and thermal efficiency. It possesses the non-linear features under load changes. A nonlinear model predictive control strategy is proposed. A linear parameter varying (LPV) model is used to represent this nonlinear model, which is identified using linear models of selected working-points and other data. In each sample time, the model is linearized through the scheduling variable, and the linear predictive controller is designed. This method keeps better control performance than traditional PID and linear MPC. The effectiveness is verified in simulation platform of real 200MW power plant.
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      The physical properties of seeds especially spill property are very important in practice. According to the requirement of spill property measurement, a measurement system of seeds gravity angle based on MC9S12DG128 microcontroller was developed. The system consisted mainly of measurement device, motor driving unit, angle measurement unit, image acquisition unit and the microcontroller unit including the LCD for display the results. The measurement principle and working process of the system were introduced in the paper. Image acquisition and segmentation was employed to evaluate the seeds flowing situation. The measurement system was validated by comparing the results obtained by the system to the ones evaluated manually on peas. The experimental data showed that the results given by the system were in accordance with those provided by manual measurements.
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      Taking property management of intellectualized commercial business building as applying background, a kind of portable intellectual equipment management system based on ARM Cortex-M0 is introduced. This system is composed of two parts- intellectual terminal equipment and PC. Intellectual terminal equipment is used to realize date collection and storage, and to connect with PC for communication by high speed interface; while, the communication between PC part and intellectual equipment as well as data analysis and processing is realized by VB6.0.
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      Interactive robot served as a sensor which could sense the environment, and also served as an actuator which could be manipulated in a safe manner at the same time. This paper presented a safety approach for the joint torque sensor based manipulator. Cartesian impedance control law was introduced so that the external force and the Cartesian position were interrelated. In this way, the manipulator could work as an external force sensor. When the estimated external force sensor feedback was input to the on-line trajectory regeneration, a novel online motion planning could be performed in a task-consistent manner, keeping the interaction force within acceptable tolerance. The proposed approach also proved that the manipulator was able to contact the environment compliantly, and reduce the instantaneous impact when collision occurs. To put the safety approach into practice, the Cartesian impedance control application to the manipulator, and rigorously guarantee the asymptotical stability of the entire system. Furthermore, adaptive dynamics joint controller was extended to all the joints for complementing the biggish friction. Experiment was performed on a 5-DOF flexible joint manipulator. The experiment results of tapping on a rubber, illustrate that the manipulator is a sensitive force sensor and a swift actuator.
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      In order to effectively achieve fault current detection for a hybrid circuit breaker, design a short-circuit current detection methods based on dynamic neural network, it applies the dynamic neural network to the fault current detection, uses historical memory effect of feedback neural networks to predict and compare the signals, can realize an effective short-circuit current fault detection. Using the Matlab neural network toolbox for simulation, simulation training samples generated by simulation, superpose multiphase harmonic components by single-phase fundamental frequency, similar sine function can be used instead when pre-digestion, the simulation results show that the method is effective and fast.
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      This paper presents an improved Non-singular Terminal Sliding Mode observer for the estimation of the speed and rotor position of permanent-magnet synchronous motor (PMSM). The proposed observer based on an improved non-singular Terminal sliding mode (NTSM) can obtain the information of the running state of the motor accurately and quickly without mechanical sensors. The reliability and robustness of the PMSM's space vector control system will be raised for the realization of the sensorless control. The simulation results show that the method is valid.
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      This Paper presents an integrated LED driver with boost converter designed with standard CMOS technology considering Lithium-Ion battery used to drive LED strings that provides overall maximum efficiency of 85% and current error accuracy of 0.0046%. The boost converter operates in PWM voltage mode at 600kHz with stable output voltage as a voltage source to LED driver. A dimmable LED driver with a dimming frequency up to 10MHz is implemented for the application of constant current driving capability for LED displays and LCD backlighting that is used in many portable devices with advanced video and image processing operating at low voltage. A current balance circuit is applied having two or three channels that act as a constant current source for the series connection of LED strings and also used to control the amount of driving current for regulating the constant light luminance of LEDs. The design is simulated with tsmc 0.35μm process with an effective layout area of 2.279967 × 2.39105mm2 and a power consumption lower than 1W.
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      In this paper, a hybrid of Neural Network (NN) and Fast Traversal Filter (FTF) based controller is used to determine the optimal parameters of Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR) system of single area power system. Input to the controller i.e. the error signal is divided into two parts- linear and non- linear. The linear part of the error signal is minimized by the FTF algorithm, whereas the nonlinear part is minimized by the NN algorithm. The output of the controller is the sum of the outputs of NN and FTF networks. The proposed hybrid controller requires less number of samples for training of weights, thus making the system fast. This is highly desirable in power quality problems. The simulations demonstrate the effective and smooth performance of the power system. The results of the proposed hybrid controller are compared with that of Proportional and Integral (PI), neural and Particle Swarm Optimization (PSO) based controllers. Simulated results evince the superiority of the proposed hybrid controller.!
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      Embedded systems technique are essential part particularly, which applied various industries like medical equipment, automobile, shipbuilding, broadcasting equipment. It is highly expected to generate new industries by integrate a variety of industries (green IT, Intelligence Robot, medical embedded, mobile open market) into strategic industries of IT filed. This issue has emerged as CPS (cyber physical system) paradigm. Exist methodology of development to ensure high reliability of the critical system is not guaranteed self-adaptive concept and support low-level development only. Self-adaptation can apply to various system properties. Therefore, this paper proposed novel design methodology of self-adaptive to support CPS development and presented a process flow in runtime. We use a case study to explain application method of study and effectiveness proof.
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      As the practice of teaching English as a second or other language (TESOL) is increasingly moving away from grammar-translation to communicative methods the role of computers and the Internet in teaching communication is becoming more and more prominent. An overview of the reports from the TESOL field shows that e-mail, Facebook, chat rooms, blogs and other methods of electronic communication can provide learners of English with unique opportunities for authentic interaction in the target language. However, there are certain conventions of electronic communication that may present problems for students and interfere with their effective interaction via computers. This presentation looks into some of these problems and their implications for successful use of electronic communication in TESOL classroom.
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      The artificial intelligence (AI) technique has suffered in solving its computationally hard problems in recent years. In this paper, a self-upgrading autonomous system is designed to tackle end-to-end AI-hard problems and to achieve self-adapting communication via modular and hierarchical extension from linguistic and semiotic constructs. A system-on-a-chip (SoC) self-adaptive control system can learn arbitrary shape of the robot body or machine parts. Simulation results have proved the effectiveness of learning abilities of the proposed autonomous system.
  • Session 3 : Computer Science

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      The task scheduling strategy has a great impact on system performance in cloud computing environment. In traditional distributed computation such as grid computing, scheduling algorithms for tree network were always based on single-port mode. However, single-port mode is not appropriate for cloud computing environment, because that in cloud environment, the participants of the cluster can do multiple tasks simultaneously. In recent years, some scholars have done a lot of researches of task scheduling in cloud computing environment. However, these researches, in terms of network topologies, were almost based on opaque cloud. When the participants of the cluster were organized into a tree structure, appropriate task scheduling strategy tailored to the situation of multitasking is still lacked. This paper focused on the feature of cloud computing environment, proposed a new framework of task scheduling strategy for tree network. This framework is based on master-slave model, it breaks the limitation of single-port mode. It is fit for the cloud environment, in which the host performance and network capacity are uncertain. This paper provided an available solution of the problem of task scheduling in tree network. It discussed about task scheduling strategy for tree depth of two, tree depth greater than two respectively. In addition, it proposed two algorithms for tree depth greater than two; finally, from three aspects: the rationality of target node selection, network overhead, time consumption of calculate, it compared these two algorithms.
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      Storage capacity and data security of Fiscal Cash Register data storage system, common concern of tax authorities and taxpayer, is one of the core technologies of Fiscal Cash Register, and one of key tax assessment bases of tax collection authorities. After analyzing the shortcomings of early Fiscal Cash Registers, two improved design proposals of Fiscal Cash Register data storage system has been proposed in this paper with the combination of engineering practice, which has achieve good results in hardware applied research.
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      The application of hyperspectral remote sensing technology in rapid surveying to quickly extract the vegetation cover index around Important buildings(built or to be built), could clearly understand the basic geographic condition when implementing camouflage protection in Important buildings(built or to be built), and fundamentally improve operational effectiveness of camouflage and anti-investigation of Important buildings. This paper presents a large-scale remote sensing image of vegetation cover information extraction method based on Wavelet transform and LAWS texture measure, which has achieved good results via tests.
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      Business intelligence is the use of an organization's disparate data to provide meaningful information and analysis to employees, customers, suppliers, and partners for more effective decision making. Its purpose is to get meaningful information from data in order to make better business decisions. This paper takes a brief look at business intelligence and knowledge management, several examples of business intelligence products are summarized, it is followed an analysis about how business intelligence products supporting knowledge management on its strategic planning, implementation, technology application and assessment. It is aimed to provide products of business intelligence likely to be used most frequently in knowledge management.
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      In this paper, we constructed mathematical models for genetic algorithm (GA) and explored the searching process of genetic algorithm with statistical methods. Both two-dimensional and multidimensional benchmark functions were used to test the GA. Every group of the searching pace of GA performs power law distributions, even that the data is drawn from non-convergence cases. Lévy flight search patterns are proved to play an important role in the process. The efficiency of optimization process has something to do with the parameters of power law distributions. More interesting results and conclusions are given in the paper.
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      Modern information systems are inherently collaborative. As the flow of information and the degree of collaboration in a system grows, the more complex the structure of the data becomes. Nowadays, due to the wide use of open systems such as cloud computing, an increasing quantity of resources is shared between different entities, and situations arise in which different clients need to be granted access to different resources or to different services that they had negotiate with any cloud computing and in which different users need to have access to different component associated to the service. Traditional access control mechanisms are unsuitable for the requirements of controlling delegation and structured services in complex open systems such as cloud computing and grid computing.In this paper we present a new access control method called cloud-based usage control (CloudControl). CloudControl extends traditional access control methods in order to manage the access to services in a cloud computing environment by means of a rules set that allows easy administration of the system describing the accessed content using a suitable set of rights and the capability of delegating.One of the main novelties is the use of a versatile form of controlled delegation of authorizations, which provides a more precise way of controlling access to resources. It allows for an early control of possible conflicts between different kind of accesses.Formal definitions of CloudControl actions and rules are presented in this paper, and the implementation of CloudControl is discussed)
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      The interface of localized software is always confronted with such problems as garbled character compilation and not free switching etc. Through application program such as Qt, this paper makes a depth exploration about the software localization technology and the means to solve these problems. At present, Window products as compiled with Qt are widely applied to such software as the exploration of oil and gas resources and automatic circuit design system.
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      Unified Modeling Language UML is an object-oriented and visualized common modeling language. Based on the analysis to UML, this paper designs a laboratory management system, and elaborates the case modeling, static modeling and dynamic modeling of the case diagram.
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      The relationship of the abstract Cauchy problem and operator semi-group is consanguineous. When a linear operator A generalizes a contractions integrated C-semigroup, the corresponding homogeneous abstract Cauchy problem has the non-increasing mild solutions.
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      Compared to traditional Web GIS model, distributed Web GIS based on J2EE can handle Load balance better, thus it improves the function of both server and client. Distributed Web GIS will get more extensive development along with development of EJB technique.
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      At present, the genetic algorithm has always taken the optimization of generation, the approximate distance and the time constraints by the end of optimization as the termination conditions. The approximate value has the uncertain characteristic when the algorithm is finished, which can't meet the approximate demands in practical application. According to the uncertain needs of measurement, it is necessary to consider the measurement of uncertainty as the termination condition of genetic algorithm in the process of evaluation measurement. We should employ the important model for evaluation in the realization of algorithm. It is required to use the short important model to accumulate the long high-order model. When the blocks model meets the requirements of uncertainty, the algorithm will be finished.
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      Under the economic globalization, Collaborative Product Commerce has emerged as a critical capability that enterprises must acquire to remain competitive. Comparing with traditional web-based CPC, service-oriented CPC features with loose coupling, interoperability, rapid development, resources sharing between heterogeneous platforms. In this paper, architecture of service-oriented CPC is proposed, which is designed according to the three-tier CPC framework and the existing SOA reference architecture. This paper also describes web service model in the last part.
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      By studying the problem that the optimal individual combination is destroyed by the subpopulations' independent evolution in cooperative co-evolutionary genetic algorithm (CCGA), A improved algorithms which introduces the method of optimal individual preservation is applied in typical complex function optimization problem in this paper. Firstly, save the optimal results in current generation. Secondly, each sub-population evolves. Find optimal results in new generations and compare with the one saved before. Then carrying out the optimal individuals combination preservation method in order to make sure the optimal individualcombination is not destroyed. Finally, two typical test functions are chose to detect the improved algorithms. The experimental results show the effectiveness of the improved algorithms.
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      Nowadays, in nearly every industry the competitive pressure is very high. Companies are completely analyzed to find any potential for optimization. Outsourcing initiatives and job cuts are often consequences. This paper aims to focus and increase the quality of planning. Especially the challenges and opportunities of process management in connection with time scheduling and human resource requirement management are considered. As basis methods from Methods-Time-Measurement (MTM) and the information system view on Business Process Management (BPM), as well as the combination of these methods are taken into account. This discussion discovers a high potential for planning and also execution of efficient processes in production and service sector.
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      The process of crowd evacuation may pose a threat to the public safety. If accidents occur in the evacuation crowd, it is very likely to hinder the process of evacuation, or even cause injury or death. Hence, it is necessary to study the feature of evacuation dynamics. In view of the two important parameters involved in safe evacuation, RSET and ASET, this paper analyzes and compares the two widely used safe evacuation standards based on their different RSET magnification effect. Applicable scope of the two evacuation standards is divided which will provide enough accuracy for safe evacuation analysis and facilitate future relevant study.
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      In recent years many commercial buildings rise straight from the ground. Some of these buildings possess multifunction area such as office, hotel and amusement. As for those function partitions, the personnel density is different and the required evacuation time changes significantly. The design of the building should keep the balance between the evacuation safety and the operating efficiency. This paper carries out simulation analysis of traffic capacity for a certain building.
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      In this paper a plan is suggested that is a combination of CAPTCHA security codes and WATERMARKING studies. With an increasing number of automated software bots and automated scripts that exploit public web services, the user is commonly required to solve a Turing test problem, namely a Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA), before they are allowed to use web services. The purpose of CAPTCHA is to block form submissions from spam bots — automated scripts that harvest email address from publicly available web forms. Programmers have worked to create special algorithms that can read the distorted letters from images with the purpose of defeating CAPTCHA images. Strong CAPTCHA must be used to insure that spam bots will not pass and submit their information to forms. On the other hands, CAPTCHA stands for “completely automated public Turing test to tell computers and humans apart. Watermarking and fingerprinting are part of the STEGANOGRAPHY.” A watermark is an image which appears on fine papers or on some documents to prevent counterfeiting. The watermark is designed to appear only when the paper is held at a particular angle, or against a black background. Standard paper usually does not include a watermark, as making a watermark will drive the cost of the paper up. Fine art papers use watermarks to identify the manufacturer, and companies such as banks frequently use specially watermarked paper for security. In this proposed topic we want to watermark an encryption information in the arbitrary image, then distort this image (by changing the location of components of image) and send it to the desired receiver. In the destination, receiver gets the image and he/she must detect the correct image and after that he/she can access to its information that is embedded on it. More details have been explained in the next section.
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      Uplink (UL) Scheduling in WiMAX is of great importance due to its effect in satisfying QoS constraints for different IEEE 802.16 classes. This paper focuses on analysing the performance of the real time Polling Service (rtPS) QoS class subscribers based on using different UL scheduling algorithms. We propose an UL scheduling algorithm called the Minimum Transmission Duration (MTD) that mainly grants scheduling opportunities to Subscriber Stations (SSs) based on the calculated number of OFDM symbols needed for transmitting the requested packets in the UL direction. A well designed scheduling algorithm should carefully deal with throughput maximization, delay constraints satisfaction and maintaining fairness in distributing the resources among subscribers specifically when dealing with real-time packets which have very critical delay constraints and a minimum throughput requirement. The proposed algorithm is analyzed in the paper using an NS-2 simulation model. Simulation results show that the proposed algorithm enhances QoS Satisfaction in the network while maintaining a throughput comparable to approaches that mainly focus on maximizing network throughput.
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      The paper presents a critique of monological rationalism as the dominant ideology of modernism without necessarily retreating into a world of unlimited relativism and free interpretation. The critique is based upon analysis of technologically driven social changes. Continual technological progress, especially the advent of communication and information technologies has led to the prominence of the sector of intangibles: services, knowledge items, and cultural goods as the main sector for human economic activity. Customization and user centricity have replaced the mass production paradigm, so characteristic of the industrial era. The Internet and World Wide Web have revolutionized the human discourse process. Nonlinear reading empowers the user to endow the subtext with novel connotations through recotextualization. Spatial and temporal constraints have been overcome through virtual presence possibility and the discursive space has been enlarged. It is suddenly realized that the world out there does not consist merely of objects capable of being recognized through actions, but of subjects that engage in communication and mutual interaction. The dialogic, polycentric nature of these interactions, and the emergent social order that self organizes are characterized by increased levels of complexity and uncertainty. Even the human-environment relations can no longer be conceived as a matter of monological subject-object rationalism of modernism. Decontextualized, formal moral positions can no longer be taken for granted. Instead, we have multiplicity of ethical stances which are historically, socially, and culturally anchored. If consensus cannot easily be achieved through communicative action due to prevalence of complexity and uncertainty, partial affective states, reinforcements, and case based patterns can more easily be established. It is argued that satisficing rather than optimizing strategies will be increasingly adopted in a world where aesthetic-emotional judgment will replace full rationality and deliberation.
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      We have been engaged in the development of an effective English and Chinese bilingual web content categorization engine for some years. Due to the nature of the two languages, the processing algorithms for the two languages also differ significantly. In this paper, we evaluate a number of segmentation methods for Chinese text with the expressed purposes of analyzing web textual content information for effective web content filtering. Based on the evaluation results, a specific method is adapted for the task.
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      This study aims to build a Blog-based Character Education platform namely “CEBlog”, which has been constructed and developed to facilitate children's moral and social behaviors. The prototype of CEBlog consists of five functions: MSN Area, Media Area, Message Area, Link Area and Online Questionnaire. The participants were one class (n=33) of fifth graders from a public elementary school of the central Taiwan. A quantitative research method was adopted to analyse the data. Results showed that this tool with rich multimedia features was easy to interact, learn and use. Via this platform full of moral and social activities, students liked to reflect, discuss and solve their real-world problems. Positive results are also found in respect to CEBlog usage, satisfaction, learning motivation and effects. Finally, the authors encourage teachers and educational administrators use the platforms for character education like CEBlog to instruct children for understanding and facilitating their character development.
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      A new approach of forward error correction (FEC) using soft outputs of Maximum A Posteriori Algorithm (MAP) and avalanche effect of block ciphers is presented to achieve bit error rate improvement in contrast to traditional FEC. We present application of cryptography for error correction instead of security. The main idea is to improve convolutional decoding by introducing cryptography into code concatenation in a role of an outer code. The channel coding has a function of inner code. The performance of proposed approach is evaluated in the presence of Additive White Gaussian Noise (AWGN) showing coding gain of about 0.65 dB in comparison to the results of convolutional coding with the same coding rate.
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      Recent microprocessors consume significant energy to provide high performance. For this reason, the energy-aware techniques should be applied to high performance embedded processors. Especially, the energy consumed in caches accounts for a significant portion of total processor energy. Therefore, many researchers have focused on the energy optimization techniques for caches. The filter cache scheme is one of the most famous schemes to reduce the energy consumption in the cache. However, the filter cache scheme causes performance degradation inevitably. In this paper, we propose the technique to improve the hit rates of level-0 data cache based on the filter cache scheme. To reduce the performance degradation due to the filter cache scheme, the modified victim cache is appended in the proposed cache scheme. According to our experiments, the proposed scheme reduces the energy consumption in the data cache compared to the traditional cache scheme by 10% on the average. Moreover, it improves the performance by 3% compared to the conventional data filter cache scheme, on average.
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      In recent years, human-centered innovation has become a main stream of service science while the perspective on the success of service is highly in accordance with user satisfaction to service rather than functional performance of service. Although various theoretical models and processes for system engineering are increasingly adopted in service practices, they are in common lack of implementing user-centered design. In addition, an emerging methodology called Living Lab emphasizes the concept of user co-creation, however the existing Living Lab approaches provide less experience feedback which plays a critical role of achieving user-centered innovation. To solve this problem, we not only refer to several contemporary system development processes as well as user-centered design approaches but also leverage the spirits of experience feedback for Living Lab, and thus design a novel Experience Feedback oriented Service Engineering Process (EFoSEP) composed of 14 stepwise modules in 5 phases. Our proposed EFoSEP provides a systematic scheme not only beneficial to user experience feedback in Living Labs systems but also indicating a valuable research direction to Service Science, Management and Engineering.
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      The purpose of presenting the paper is to highlight the benefits derived from implementing concept of dynamic variables in SQL Server Integration Services (SSIS) and how it has indirectly helped reduce number of SQL databases, Tidal Scheduler Jobs, SSIS packages, reduce redundancy and most importantly reduction of headcount effort. The paper highlights issues encountered by process due to redundancy of architectural design leading to duplicity of asset components and how issue was resolved by implementing architectural reengineering by removing hard coding of values and implementing dynamic referencing.
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      In the distributed multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems, different frames from different transmitters are not aligned in the time domain, and have different carrier frequency offsets (CFOs). Estimation of these time offsets and multiple CFOs is a crucial and challenging task. In this contribution, a new preamble structure is proposed, and the corresponding time and frequency offsets estimation algorithms are also presented for distributed MIMO-OFDM systems. The coarse timing synchronization is accomplished by using the symmetric conjugate of the training symbol and the fine timing synchronization is accomplished by moving correlation. The fractional frequency offset is estimated by using the phase difference of the received signal and the integral frequency offset is estimated by utilizing the good autocorrelation of the training symbol in frequency domain. The analysis and the simulation results show that the proposed preamble structure and synchronization scheme have a satisfactory performance in distributed MIMO-OFDM systems.
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      The effect of Cd on the microstructure and mechanical properties of Mg-Cd magnesium alloy has been investigated in this paper. The results indicate that the microstructure of the Mg-Cd magnesium alloy is refined obviously by adding a little Cd. When 0.7%Cd is added, the alloy is made up of α-Mg matrix .Cd solid dissolves in the matrix and there is no new phase formed, which contributes to the increase of the impact toughness, Brinell hardness of the experimental alloy by 52.9%,11.9%,respectively.With the Cd content increased, the mechanical properties of Mg-Cd magnesium is improved accordingly.
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      In order to adapt the use of workover rig for offshore completion and workover operations, it generally uses two different drive mode of milling, downhole motor and surface turntable, in dealing with deep inclined well permanent type packer issues. In this thesis, the main focus is on control technology of milling operation to the permanent packer. At the same time, the forces of pipe string were analyzed and the axial forces, torques and frictions and other mechanical calculation models of the pipe string were established under two kinds of drive modes. Through the results of analysis of pipe string force, it accesses the risks of the milling operation, optimizes the parameters of downhole tools and operation methods in milling operation.
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      An efficient rate-compatible (RC) puncturing scheme for LDPC codes is proposed, which tries to distribute the punctured bits as evenly as possible while maximizing the number of 1-SR nodes in Tanner graph. The puncturing scheme can produce RC LDPC with rates ranging from the mother code rate through even 1. Simulation results show that the new puncturing method is superior to random puncturing and the method in [2].
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      This paper analyzes the hierarchical routing protocol - LEACH, and based on LEACH proposes a new data transmission routing protocol-LEACH-EEMH for wireless multimedia sensor networks. The protocol improves the selection method of cluster head and the formation method of clusters, at the same time improves the method of communication between the cluster head and the base station. The algorithm takes the residual energy of the node, the distance from the cluster head to the base station, the data transmission delay, and the error rate into accounts. The simulation results show that the algorithm can reduce network energy consumption, prolong the lifetime of the network and ensure reliable delivery of multimedia data and real-time data transmission.
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      Signal transmitted in Free Space Optical communication (FSO) link is influenced by both the atmospheric turbulence and performance of the photo-detector, becomes much uncertain. According to both weak turbulence channel model and photoelectric detection channel model, two exact probability density functions(pdfs) of photoelectric count are proposed respectively in discrete and continuous forms. Based on these expressions, we derive the probability density functions of the output current, and establish a mathematic model of error performance for FSO link. The model characterizes factors about weak turbulence as well as detector, such as scintillation and background noise, etc. Simulations results are consistent with anticipate analysis, and the presented model can lead to an efficient performance evaluation.
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      In this paper, a new method of scanning has been put forward by using variable-shape block partition, and the new method has been simulated. This method has been improved based on traditional Zig-Zag scanning mode. The improved method not only keeps the advantages of traditional Zig-Zag scanning mode, but also decreases the scanning process and improves the efficiency of the scanning.
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      The current scalable extension of H.264/AVC video coding standard provides a vast number of scalable profiles and also a very good coding efficiency. But the problem of rate-distortion optimal (RDO) bit stream adaptation becomes difficult since the coding according to the current standard adopts some complex techniques, such as hierarchical prediction structure, inter-layer prediction. In this paper, we propose a new RDO extraction of SVC bit streams. Firstly, we give a distortion model for a frame based on the analysis of MGS coding structure. The model involves distortions of both reference frames and current frame. Then, a new strategy for sorting network abstract layer (NAL) units is provided, which is a combination of a concept of prelayering and a greedy algorithm using the distortion model. In experiments, the proposed new extraction shows a gain of up to 0.35dB when comparing with quality level based extraction in Joint Scalable Video Model (JSVM).
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      Single Gaussian model is an effective way for target detection under stable environment. However, it suffers from low robustness when there are dynamic scenes and/or sudden lighting changes. The correlation coefficients method is effective in describing the similarity between images. Furthermore, this method is not sensitive to small image appearance changes. To take advantage of this characteristic, a hierarchical block detection mechanism is proposed in this paper. First, the noise from the dynamic background scenes and/or the lighting changes are filtered by the correlation coefficients. After that, the blocks with foreground are segmented by single Gaussian model. Experiments confirmed that the proposed method is effective to deal with dynamic backgrounds and fast in computation.
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      The impulse control model is given. The limitations of traditional genetic algorithm are considered. Combining with the characteristics of pulse vector controller ignition, an improved genetic algorithm is proposed, and the algorithm is suitable for pulse engine ignition model. The algorithm is used in the process of pulse vector controller optimization ignition. Simulation example shows that ignition control problem of the pulse vector controller can be solved effectively with this algorithm. Technical requirements which require missile system fast response, low energy consumption and high precision tracking can be reached.
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      Median filtering is a cornerstone of modern image processing and is used extensively in smoothing and denoising applications. In this paper, three different median filtering algorithms, four different wavelet filtering algorithms and the method of Median Filter and Wavelet combination are compared based on their ability to reconstruct noise-affected images. It turns out that median filter method is particularly effective when the noise consists of strong spike-like components (known as salt and pepper noise). Wavelet transforms have been utilized effectively for image denoising, providing a means to exploit the relationships between coefficients at multiple scales. But the median filter and wavelet filter are not particularly effective to eliminate the Gaussian noise. We will propose a new method of Median Filter and Wavelet combination, the experiment results show that this proposed algorithm can both preserve image detail information well and remove the noises, particularly Gaussian noises.
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      More and more on-line information systems allow users to assign the tags to such documents as entries in encyclopedia or articles in blogs or topics in social networks. Traditional way to retrieve these documents is the document retrieval method, but fails at using the tag information. This work proposes a tag-language-model, which builds a language model of the tags used to promote searches on documents with tags. The model integrates the document similarity model and tag similarity model. The experiments show that tag-language-model can effectively improve the searches on documents with tags.
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      As in the Ying-Qiong basin, in a number of target layer formation of wells, the pressure is over 100MPa, and downhole temperature exceeds 170 °C. It has great challenges and risks to the well test operation. Therefore, risk assessment and technology research for high-temperature superpressure testing are needed. In this article, HPHT well test safety control technology is studied from the aspects of wellbore temperature and pressure field and hydrate prediction, and the theoretical calculation module of wellbore temperature and pressure field during HPHT test is established. Based on simulated experiment, the prediction module of gas hydrate formation conditions is established. Combined with field conditions of HPHT test, it proposes specific measures to control hydrate to further reduce the risks of testing operation.
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      The channel estimation technique based on comb-type pilot arrangement, which is used in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system, is investigated in this paper. In view of the contradiction of time-domain LS algorithm etween performance and computational complexity, a frequency-domain LS algorithm was presented. The simulation results show that frequency-domain LS algorithm has preferable performance and lower complexity. In addition, we compared the BER performance of the constant interpolation, linear interpolation, second order interpolation and time domain interpolation algorithms based on comb-type pilot in MIMOOFDM systems. The simulation results show that the time domain interpolation performs the best among all channel interpolation algorithms.
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      Most planners focus on how to create plans. We first propose the flexible plan database model. We focus on the definition of some important notion of flexible plan databases, and then, we describe the notion of consistency and coherence of this model.
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      Through the analysis of the international trade business collaboration service system properties and requirements, the article proposed an international trade business collaboration system model based on SOA technology, made a planning and description of the system function, and finished the restructuring and integration of which has access function and so on. The system has an important guiding significance in the information reform of small and medium-sized enterprise and the establishment of the collaboration business platform.
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      Flash memory has many advantages over hard disk. Such as smaller size, lower power consumption, shock resistance and fast random access speed. It has been gradually edged out traditional storage systems. Especially, with the advantage of random read operation, a welltuned DBMS (Database Management System) is able to be created over flash memory storage systems. The traditional implementation of database techniques on these storage systems does not works as well as that on hard disks. In this paper, we describe the PAX-based layout's advantage over flash memory, and we propose a PAX Join algorithm to take advantage of PAX- based layout to reduce total data transferred and thereby improve performance for join processing.
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      The effectiveness of query processing techniques on in-memory index data structure draws recently more and more attention, especially based on an compressed index. Index node compression improves data locality of index structure, decrease memory references. It makes node group sizes are different. However, the side effect of it is we cannot perform binary search on it. And decompressing can increase computational overhead. The contribution of this paper is three-fold. Firstly, we present a COB+-tree (Compression-Oriented CSB+-tree) data structure, which reduces the number of the second-level cache misses and the translation look-aside buffer misses. Secondly, we describe a fine measure of index compressing performance. Finally, by adopting partial decompressing technique, we can improve query processing performance on a COB+-tree. The experimental results show that the COB+-tree can improve the performance of query processing.
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      Network coding brings significant performance to the network and new ideas to the P2P content distribution. The combination of network coding and P2P technology can solve some problems in P2P content distribution. In this thesis, we introduce a P2P content distribution model called scheduling-coding model which is based on segmented network coding after in-depth study of BT content distribution. It can solve the problems caused by network coding for large-scale content distribution. Its core ideas are network coding within segment and mixed segmentscheduling strategy among segments. Test results show that network coding brings remarkable performance to P2P content distribution system, but it introduces excessive computational complexity for large-scale content distribution which affects the performance of the system.
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      Traditionally, sea clutter is modeled as a stochastic process, which has a bad performance in small target detection when sea clutter is strong. In recent years, based on the existence of at least one positive Lyapunov exponent and a finite correlation, sea clutter is considered to be chaos, which provides a new idea in analysis of sea clutter. A neural network is well suited to reconstruct the nonlinear dynamics of a chaotic process. In the paper, the RBF network, which is one kind of the neural networks, is trained with the real-life data and a model-based detection method using neural network as a predictor is presented.
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      This paper discusses the application of Culture Algorithm to Fuzzy C-means clustering. The aim is to improve the quality of image segmentation. Fuzzy C-means clustering algorithm as one of the fuzzy clustering is widely used in image segmentation. We use Culture Algorithm to initialize centre of clusters to make Fuzzy C-means robust against initialization. The proposed method can effectively avoid being trapped into local optimum as well. The analysis has shown that Fuzzy Clustering based on Culture Algorithm can obtain better total clustering accuracy with high efficiency, and the quality of image segmentation is improved.
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      Because of sea clutter, small targets detection in sea has a certain difficulties. Many scholars try to solve these problems by neural network. However the defects of neural network restricted its development. Support vector machine shows its superiority in convergence process and the select of hidden nodes is avoided. This paper uses the particle swarm algorithm to optimize the least squares support vector machine, and overcome the experienced dependence when some important parameters are selected. The time needed for convergence is shortened effectively. This method is applied to the targets detection in sea, and the specific process model is given.
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      Social network Analysis research has attracted much attention in recent years. Link prediction is a key research direction within this area. Social network analysis (SNA) and supervised learning with classification algorithms are used in this research for the link prediction in social networking. SNA is used to analyze the key factors influencing information diffusion model bout density, centrality and the cohesive subgroup, reveals useful insights which are the relationships and activities between human and identify the influencing nodes. The supervised learning with the classification algorithms of Independent Cascade Model [6] is used to focus on discovering surprising links in the existing ones of influencing nodes. The partitions store discrete characteristics of nodes. The supervised learning for prediction which nodes in a social network will be linked next from the attacked influencing nodes with the classification algorithms to monitoring the risk. Such understanding can lead to efficient implementation of tools to link prediction in social network. They are applied as a guide to further investigation of social network behaviors and improve the security model for social networking to preventing and controlling information diffusion or computer viruses in network application.
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      In this paper, a novel multiple kernel-based tracking approach with color and gradient features was proposed. Gradient and color histograms with multiple kernel-based tracking were integrated. The integration of color and gradients made tracking more robust to changes in luminance and avoided tracking algorithm drift under low illumination. Also, a new constraint derived from affine transformation was introduced. This addition enabled the tracker to provide the ability to process complex motions such as rotation, scale changes, and viewpoint changes etc. Experiments show that the proposed approach is effective and robust to complex motion and to cluttered environments.
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      An ergodic algorithm was proposed for solving a class of nonlinear equations and a new algorithm was proposed for solving tridiagonal linear equations. By traversing a single variable, the ergodic algorithm for nonlinear equations can find all real solutions in the specified interval and avoid the iteration divergence. In the algorithm for tridiagonal linear equations, the equations were turned into a linear equation with only one variable. Compared to the computation time by the chasing algorithm for tridiagonal linear equations, the time by this new algorithm is reduced by 40%∼50% according to simulation results when the tridiagonal matrix dimension is less than 30000.
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      This paper gives a design of remote monitoring system of pressure vessel safety. The front-end used single-chip microcomputer technology. A Server was designed as a monitoring and control center. GPRS was used for the communication between the server and the front. Clients can obtain real-time monitoring data from the remote server and send command to the server to control the operation of pressure vessels through Internet at any time and place.
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      For improving the precision of the altimetry gravity calculated by the inverse Stokes formula, the non-singular transformation is introduced to solve singular integral problem in the inverse Stokes formula when the geoidal height of the innermost area is expressed as double cubic polynomial, and a formula to calculate gravity anomaly of this area is derived. The singular integral formula deduced in this paper has a high precision based on theoretical model analysis. Computation is carried out on a test area, which consists of 120×120 geoidal height data with a resolution of 2′×2′, the results illustrate that the contribution of the innermost area to the gravity anomaly inversion can not be ignored. Formulas derived in this paper can provide theoretical basis for the gravity anomaly inversion with high precision.
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      Ground test data acquisition and management has been the impact of oil and gas well test data accuracy and operational processes to increase productivity of important issues. Paper presents a wireless sensor technology, the wireless sensor to the signal by way of radio frequency data to the repeater; repeater will receive the data transmitted to the master control room wireless receiver; receiver will receive The data are processed through the RJ45 LAN port or sent to the scene 232/485 access center, through the PC, the data analysis and processing programs. The system uses a process of oil and gas well testing operations digital, wireless, intelligent design mode, the field test data to achieve real-time wireless transmission function, the successful ground testing to solve the existing wiring difficulties arising in operation, data transfer instability, high cost and other practical problems.
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      Artificial Bee Colony (ABC) algorithm is being widely used for global optimization problems. In this paper, an ABC algorithm is presented for optimal design of multi-machine Power System Stabilizers (PSSs). This novel optimization method, inspired by the intelligent behavior of honey bee swarms, is characterized as efficient in computation as well as simple in concept. It also uses less control parameters compared to other metaheuristic approaches. The performance of the proposed ABC based-PSS design is validated for a multimachine power system: 16-machine 68-bus system. Eigenvalue analysis and nonlinear system simulations demonstrate that the optimization by ABC algorithm outperforms genetic algorithms in enhancing the system dynamic stability.
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      Traffic sign recognition which allows us to recognize signs in real time in videos is very important for road safety and driving behavior study. A new speed sign recognition method based on statistical characteristics is proposed in the paper. First, the selected region from road scene image which needs to be processed is determined and filtered by the SVF (Simple Vector Filter). Second, the speed signs are segmented after all the detected non-traffic signs pixels are excluded by the statistical characteristics. Then we are able to apply normalized cross-correlation to classify the signs. Potential signs are compared with the template signs as given in the database by using feature matching methods. At the end, we recognize the traffic sign in an image aiming at real time system. This method is suitable for circular signs only, we apply it to Chinese speed signs in this paper. Our results show that it is robust to a broad range of lighting conditions. The result of this method is about 96% for detection rate, and the speed sign recognition rate is ab out 90%.
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      No matter how sophisticated an authentication system has been devised, human is often considered as the weakest link in the security chain. Security problems can stem from bad interactions between humans and systems. Eye movement is a natural interaction modality. The application of eye tracking technology in authentication offers a promising and feasible solution to the tradeoff between the usability and the security of an authentication system. This paper presents a comprehensive study on existing Eye Movement Based Authentication (EMBA) methodologies and systems, and briefly outlines the technical and methodological aspects of EMBA systems. We decompose the EMBA technique into three fundamental aspects: (1) eye movement input modality, (2) eye movement interaction mechanism, and (3) eye movement pattern recognition. The features and functions of the EMBA modules are further analyzed. Emphasis is given on the interrelationship among the modules and their general impacts on the formation and function of the EMBA framework. The paper attempts to provide a systemic treatment on the state of the art technology and also to outline some potential future development directions in eye movement based interaction and security systems.
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      Aim at improving accuracy and speed of operation for garment computer aided process plan system, realizing process intellectualization; a method of forming typical process based on group technology was presented. Through forming compound process, coding process using mixed way and judging similarity of decision condition code, the method could form a typical process. Then typical processes separately store in library of process. Finally, the rule of proximity was adopted to select typical process and calculate Standard Time which has existed in library corresponding to each typical process. The result shows that the above method can realize the formation of typical process with brainpower and accuracy. The efficiency is higher and the error is lower.
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      There are many programming languages what designed to express computations that can be performed by a machine. Many programming languages have specific features and some form of written specification of their syntax and semantics. Although some languages extended Java programming language and use advantages from Java Virtual Machine (JVM) those extended languages have their syntax and semantics that make extended languages cannot support all Java features. This paper we introduce the programming language and compiler that support more than one programming languages called “JGroovy” .The JGroovy use Java for a host language and Groovy for a second language. This research is aim to improve a compiler for support more than one programming languages and manage source code before and after compilation with identical standard. The result of experiment the JGroovy compiler support source code better than javac. And support all extension features in Groovy.
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      In the application of neural network, we often encounter in such problems as the sample set contains too many similar samples or sample features are not representative enough. All these problems may lead to “over learning” phenomenon or the case that the results predicted by neural network model deviate largely from the actual results. The paper proposes a method of using Fuzzy C-means (FCM) clustering algorithm and the nearest neighbor (NN) method to establish a neural network sample set. This method can achieve the purpose of establishing the best neural network model with a small and representative sample set, which is a good guide for the application of neural network.
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      Associate facilities of bicycle leisure industry are developing rapidly in recent years due to the advocacy of the government in Taiwan. In this paper, we propose an agent-based system for locating bicycle position. Combining multi-agent technology with push technique, the proposed system can thus intelligently enhance the location tracking and route planning.
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      This paper summarize the main content of lung sound analysis, including lung sound feature extraction and classifier design. Lung sound feature extraction is a prerequisite for lung sound analysis, which has a direct impact on the performance of the classifier. This paper research and compare the main methods of lung sound feature extraction. To achieve the best recognition results, classifier design should combine with lung sound feature. It compares the main model of classifier on the performance. The paper also present the problems of lung sound analysis, including the different methods of the lung sound data acquired and the shortage of lung sound database, and then describe the direction of future research of lung sound.
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      The current statistical model needs to pre-define the value of many parameters, and the frequency of maneuvering α is one of the most important them. It is not changed with the targets maneuvering, that makes the effect of tracking in the moment of maneuvering happening drop dramatically. To cope with the problem, a new improved algorithm was proposed in this paper. Algorithms based on the current statistical model and acceleration model were analyzed. Then the model of maneuvering frequency was built. The character α was adjusted adaptively with maneuvering and the accuracy of tracking was improved obviously. The simulation results show the efficiency and practicability of this algorithm.
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      In this paper we propose a new algorithm based on parity elimination of codewords to recover the parity check matrix of a linear block code from an intercepted sequence which contains a realistic noise level observed at the output of a noisy channel. This algorithm due to its low complexity enables us to recover the length and synchronization of a code.
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      In this paper we introduce a three-way discrete memoryless Broadcast channel (T-DMBC) between a transmitter (Alice), a receiver (Bob) and an intruder (Eve). We represent a protocol for secret key establishment (SKE) between Alice and Bob so that the Eve can also participate in the second round of the secret key establishment. We assume that the intruder cannot act as an initiator (under the conditions that FCC acts as a dictator of the game). Thus, any transmission by intruder as his activity in the first round must not make the protocol vulnerable to the DOS attack. We use Nash Equilibrium (NE) of the game between the receiver and the intruder to prove that there is no guarantee for achievable secure rate stabilization toward the main receiver with using passive intruder protocols for DMC or 2DMBC. In order to achievable secure rate stabilization, we modify passive model for secrecy of 2DMBC with noise-forwarding strategy and post-computations in a game model.
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      There are many kinds of advertising media, such as television, broadcastings, magazines, news papers, outdoors advertising and so on. But these kinds of traditional advertising have no interaction with people. So, the authors developed a webcam-based system and applying the face-tracking technology of OpenCV to this system. So, people can see the advertisement and make interaction intuitively without keyboard and mouse on the Web. The authors constructed system architecture and implemented a preliminary prototype for evaluating this kind of advertising system. The results revealed that this kind of interactive advertisement is good for memories of brand name and attitudes of advertising.
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      Self-healing system try to repair the faults found in running system. However, in current approaches, Systems have model or knowledge to identify that the state is whether normal or abnormal. In this paper, we propose a novel approach that the model is generated in runtime. Additionally we provide a localization method for identified faults. We evaluate proposed approach on the surveillance vehicle scenario and the results of detection and localization accuracy are shown.
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      Mobile devices are now widely used. They have changed our communication behavior. In particular, SMS influences our communication behaviors, due to its flexibility. Emoticons are frequently used in SMS. They can be thought of as a method to overcome the communication limitations of text. Several studies have attempted to infer a user's emotion from SMS text. In this paper, we will show that contextual data such as communication logs and location data can be collected and used to improve mobile device functionality. We show such contextual data can be used for inference. We propose Visual SMS to overcome communication limitations using situational information inferred from contextual data by a decision tree. The decision tree created from a predefined training data set. Visual SMS is implemented using the decision tree. We demonstrate its possibilities from Visual SMS simulations.
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      In order to succeed in commercial business fields, sensor networks must implement a hybrid ARQ scheme capable of supporting better transmission efficiency and reliability than currently exists. In this paper, we propose a novel hybrid ARQ scheme with cooperative coding for wireless sensor networks. In the proposed hybrid ARQ scheme, the ARQ scheme is combined with Reed Solomon (RS) coding to work in a cooperative manner. When the data is transmitted, the cooperation node keeps it temporarily through the overhearing. If the data transmission is in error, the retransmission is required to provide reliability. In this situation, if the cooperation node has a better link quality, then it will retransmit the data with the increased RS coding instead of the original sender. With the proposed hybrid ARQ scheme, the experimental results show that the transmission efficiency is improved by nearly 10 percent, while the reliability is provided as well.
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      Pleiades is a system that coordinates activities among the processes and synchronizes complex application tasks in the distributed computing environment using distributed locking mechanism. The key requirement for Pleiades is fault tolerance because it is the base system to synchronize all the activities of the applications in a cluster. In reality, many unexpected operation failures occur. One such failure is an abnormal network failure called Split-Brain syndrome, which does not have a perfect solution so far. In order to solve the Split-Brain syndrome, Quorum approach is adopted in Pleiades to preserve data integrity. In particular, we propose a history-based dynamic Quorum for handling split-brain syndrome in distributed computing.
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      In this paper, the behavior of small scale fading channel due to moving of a biological mobile sensor or moving of surrounding objects is presented. Specifically, the paper introduces the effects of multipath and scattering on the transmitted signal due to mobile biological sensors nodes within forest or open field filled of reflectors and scatters. The modeling of pass band transmitted signal fused in Rayleigh fading channel for both stationary and moving status of a receiver are derived. Finally, a complete MFSK-Rayleigh fading channel simulation is presented based on Matlab mfiles script, which comprises performance of MFSK signal over the channel.
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      The Mifare Classic card is the most widely used contactless smart card in the world. Since the Mifare Classic card was cracked, how to protect data in Mifare Classic card becomes a big challenge. In this paper, a novel data protection scheme for this RFID card is presented. By combining Arnold transform for data hiding and SHA-1 and Arnold transform based auth code for tamper and counterfeit detection, it can guarantee data integrity and confidentiality in Mifare Classic card.
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      A novel scheme is proposed for server load balancing. It is known that load balancing plays a critical role in network-based information service. Although lots of methods have been recently proposed, however, most of those schemes might not be able to make the loading of all servers evenly. Thus, server system might encounter the risk of being over-loaded and/or out of function. In this paper, we propose a distribution scheme to prevent the server from being over-loaded and save the power consumption of all server system for low loading request. It is shown in the paper that the proposed scheme can make the load distribution more efficiently without being overloaded. Experimental results demonstrate the success of the proposed design.
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      Due to the dynamic topology of Mobile Ad hoc Networks (MANETs), IEEE 802.11 DCF backoff algorithm suffers from a lack of adequate performance in MANETs. In this paper, Traffic based Adaptive backoff algorithm (TBA backoff algorithm) for IEEE 802.11 DCF has been developed to provide Quality of Service (QoS) requirements. TBA backoff gets feedback from the status of traffic loads in the network to assign the contention window (CW) value. TBA backoff algorithm can be used in Ad hoc Networks with high traffic loads. Particularly, it can be utilized in MANETs where the traffic load's density fluctuates due to nodes mobility. Simulation results demonstrate that by applying TBA backoff algorithm in MAC layer of IEEE 802.11 the QoS requirements such as throughput; end to end delay and jitter are enhanced.
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      Host based intrusion detection has emerged as an important approach to safeguard the system from unauthorized users. It detects possible attacks on a system, on which the intrusion detection system runs. In this paper we have proposed a model capable of distinguishing an authorized user from an unauthorized one by studying the pattern of usage of the system, even after compromising the basic authentication protocol i.e. username and password. Our model of intrusion detection uses different aspects of data mining and probability theory. The proposed model deals with the analysis of system log files; data mining concepts are applied to extract the behavior pattern of the user and probability theory is used to predict the authorized user. The average success rate is above 94% for a system which has rich history files.
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      Modern information systems are inherently collaborative. As the flow of information and the degree of collaboration in a system grows, the more complex the structure of the data becomes. Nowadays, due to the wide use of open systems such as cloud computing, an increasing quantity of resources is shared between different entities, and situations arise in which different clients need to be granted access to different resources or to different services that they had negotiate with any cloud computing and in which different users need to have access to different component associated to the service. Traditional access control mechanisms are unsuitable for the requirements of controlling delegation and structured services in complex open systems such as cloud computing and grid computing.In this paper we present a new access control method called cloud-based usage control (CloudControl). CloudControl extends traditional access control methods in order to manage the access to services in a cloud computing environment by means of a rules set that allows easy administration of the system describing the accessed content using a suitable set of rights and the capability of delegating.One of the main novelties is the use of a versatile form of controlled delegation of authorizations, which provides a more precise way of controlling access to resources. It allows for an early control of possible conflicts between different kind of accesses.Formal definitions of CloudControl actions and rules are presented in this paper,

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