bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation Analysis and Design of Intake Restrictor of FSAE Race Car
Authors: Chen Chu Wei , Du Wei , Sun Jia Qi , Liu Wei , Chang Yuan , Dong Wei
Published: August 2014

For the intake restrictors which are designed in line with FSAE race stipulations, this paper carries out compute simulation on the convergent section and divergent section of the intake restrictors via CFD software; the paper systemically analyzes the distribution characters of its flow field, thus obtaining optimal design scheme. It finds through simulation that: when the converging half angle of the restrictor is less than 45°, the outlet flow of the restrictor will decrease as the converging half angle increases; meanwhile, the divergence half angle will affect the outlet flow of the restrictor as the pressure difference between the restrictor inlet and outlet varies. According to the simulation results, the optimal scheme finally designed is: the intake restrictor has the best effect when the converging half angle of the restrictor is 10°, while the divergence half angle is 11°.
A New Rapid Neural Network Algorithm and Simulation Research for 6-DOF Parallel Platform
Authors: Liu Yun Hong , Chang Cheng
Published: August 2014

The 6-DOF parallel platform has a strong carrying capacity, good structural stability. But it also has problems such as high cost, complexity of controlling and so on. The traditional process of forward solutions for 6-DOF parallel platform is complex and there is no fixed formula for solving this kind of nonlinear problems. The commonly used method is numerical analysis method which is solving slowly and has a large amount of calculation. Although neural networks and fuzzy control can be very good at nonlinear mapping, its calculating speed will affect real-time control and simulation results. Therefore, this paper based on existing neural network calculation method, proposing a new method for calculating the best number of neural network’s hidden layer’s nodes and the bubbling contraction algorithms for the 6-DOF platform forward solutions. From two perspectives can this paper improved control performance on the 6-DOF platform, and finally this paper gives its Matlab and Simulink simulation model design for further research.
Design of Incremental PID Controller Based on FPGA
Authors: Yun Xiao , Deng Zhou Hu , Wang Xue Wen , Yang Chao
Published: August 2014

Digital PID control is one of the most widely used control methods in the manufacturing process. Based on the analysis of PID control algorithm, the system has designed and simulated the incremental PID controller using the LPM macro module built-in FPGA,and also designed the PWM module. The combination of two modules can be used for a variety of applications. The results show that the design is feasible and correct.
The Application of Polling in Intelligent Transportation System
Authors: Wang Meng Yao , Ding Hong Wei , Liu Qian Lin , Yang Zhi Jun
Published: August 2014

This paper presents a new use of polling system[1] in the intelligent traffic light control system[2]. vehicle arrival rate is measured in this system.Through the relationship between arrival rate and waiting time in polling system, achieved an technology that different arrival rate correspond to different length of time[3] of traffic light.With the intelligent control, we can well solve the problem of traffic jams during different periods.
Design and Simulation of Permanent Magnet Synchronous Motor Servo System
Authors: Liu Yong Qiu
Published: August 2014

In this paper, current loop and speed loop for analysis, design a permanent magnet synchronous motor PMSM servo system. The system does not need to establish a precise mathematical model, the interference can be generated during the operation of the system, the errors always compensated, fast response, with better dynamic characteristics and location tracking capabilities, Matlab simulation results verify the correctness of the system design.
Internet of Things Intelligent Gas Meter and Control System
Authors: Wu Chuan Sheng , Shi Yun Qiu , Liu Fang Hui , Zhao Shi Cheng
Published: August 2014

Compared to current technologies, the advantages of the include : realizing the each and every terminal equipment's control and communication of the application of IoT on gas meter control system. Through the connection of IoT, the connection between the control terminal and gas meter terminal is no longer limited to the point-to-point control. It realizes the remote control of management and price adjustment, internet payment, cash amount settlement on the terminal gas meters, avoiding gas hoarding caused by the gas purchase volume calculation.
The Experimental System Design on Heat Transfer and Flow Characteristics of Rotary Air Preheater
Authors: Gao Jian Qiang , Gu Xing Peng
Published: August 2014

Rotary air preheater is adopted widely in large power plant boiler,due to poor working conditions, inside rotary air preheater,plugging ash and corrosion happens easily,causes the rise of exhaust gas temperature,fan resistance increases,causes serious damage to the safe and economic operation in power plants,so heat transfer and flow of the rotary air preheater remains to be further optimized.By studying the working characteristics of rotary air preheater, simplifies the rotational structure of the rotary air preheater to a cuboid wind tunnel,internal layouts more groups of heat transfer components,through periodic switching valve,changes the flow of hot air and cold air,alternating flushing heat transfer element,simulating the unsteady heat transfer process of rotary air preheater. Experiment with NF heat transfer components,getting the convective heat transfer coefficient and resistance coefficient of this heat transfer element under different wind speed,verifies the feasibility of experiment system research on the heat transfer and flow characteristics.
Application of Improved Back Propagation Neural Network in Mowing Robot’s Path Planning
Authors: Deng Yan , Yang Guo Wei , Cui Xue Mei , Wu Shao Long
Published: August 2014

To address the problem of planning complete coverage paths for mowing robots that have the greatest coverage rates and the lowest repetitive rates, we proposed an improved back propagation neural network algorithm based on priority traversal thoughts for local path planning. The algorithm based on plowing global path planning. We adopted grid method to model the environment and used Matlab2010a to simulate for the algorithm. Simulation results show that the proposed algorithm can make the mowing robot walk out of dead zone, the dead zone was composed of obstacle grid or the grid that had been cut around this area, and achieve the complete coverage path planning.
Simulation on Trajectory Planning of 6R Manipulator Based on the Shortest Distance Criterion
Authors: Huang Qing Qing , Chen Guang Feng , Li Jiang Hua , Wei Xin
Published: August 2014

This paper concerns the trajectory planning and simulation for 6R Manipulator. First, algebraic method was used to deduce the forward and inverse kinematics of 6R manipulator. All inverse solutions were expressed in atan2 to eliminate redundant roots to get the corresponding inverse formula. For the trajectory planning of manipulator in Cartesian space, using the cubic spline interpolation to get the drive function of joint, getting a unique solution from eight group inverses by the shortest distance criterion, and then obtained the actual end-effector trajectory. Using Matlab to verify the proposed trajectory planning method, validated results show that the proposed algorithm is feasible and effective.
Software Design of Micromouse Motion Control
Authors: Zhang Hao Ming , Peh Lian Soon , Wang Ying Hai
Published: August 2014

Micromouse is a small autonomous robot, which must navigate itself through an unknown maze from the start to the destination.One of the main challenges for micromouse is to control its two motors, which are used to control micromouse’s motion in solving the maze. Detailed design of an improved PD controller is given,which has to update the velocity and acceleration values of the motors when it wants to control the robot. Motion profile generator and motion command execution routine is designed to output a smooth motion for the robots.
Parameter Study of Tool-Laminate Interface through Simulation for Composite Manufacturing Using Autoclave Process
Authors: Mezeix Laurent , Nasir Mohd Nazreen Mohd , Aminanda Yulfian , Rivai Ahmad , Ali Karim Mansur
Published: August 2014

Modeling the spring-back requires tool-laminate interaction to be taken into account. In this study, an interface based on orthotropic linear behavior coupled with an out-of-plane shear stress failure was proposed to simulate the tool-laminate interaction. The results from this particular model captured the out-of-plane shear stress distribution. The model allows predicting the warpage displacement in function of interface properties; shear modulus and shear stress failure which leads to the construction of Chart Design. Additionally, the influence of the number of plies was studied as well and the evolution of the maximum warpage agreed with the literature.
Design and Verification of the Parameters of Hot Forging of Ti10V2Fe3Al Alloy Compacts
Authors: Wojtaszek Marek , Śleboda Tomasz , Rumiński Maciej , Łuksza Janusz
Published: August 2014

This research work was focused on the application of powder metallurgy technology to the production of high-quality products from Ti10V2Fe3Al alloy. For the purpose of investigations hot compaction and hot closed-die forging processes were used. As an initial material a mixture of elemental powders was applied. As a result of hot densification, fully densified semi-products were obtained (99.4 % relative density). Numerical modelling of forging of a selected forging was performed using finite element method. Various options of forging process conditions were applied. The designed parameters of forging technology were verified by means of trials performed in industrial conditions. The quality of the product was estimated by microstructure observations. It was found that hot forging of compacted mixture of elemental powders resulted in obtaining defect-free gear wheel showing the relative density of 99.8 ±0.2 %.
Crush Characteristics and Energy Absorption of Thin-Walled Tubes with Through-Hole Crush Initiators
Authors: Subramaniyan S Kanna , Kananasan Arun Kumar , Yunus Mohd Radzi Mohamed , Mahzan Shahruddin , Ghazali Mohd Imran
Published: August 2014

An experimental investigation was conducted to compare the crush characteristics and energy absorption capacity of circular and square tubes with located through-hole crush initiator. Circular through-holes were fabricated at three different configurations based on location into steel tubes which had a length of 200 mm. Furthermore, two different side configurations along the tube were considered for introducing the crush initiators. The results found that adding crush initiator onto the tubes were effectively reduced the initial peak force of a thin-walled circular and square tubes under axial quasi-static loading. The peak crush force was reduced within a range 3-10% and 5-16% for circular and square tubes respectively when compared with corresponding tubes without crush initiator. Moreover, the energy absorption capacity of the tubes was independent with the incorporation of through-hole crush initiators. However, the energy absorption of circular and square tubes were slightly decreases when compared with the tubes fabricated four sided crush initiation and tubes without crush initiator. Overall, the effect of location and number of crush initiation proved significantly influences the initial peak forces while maintain the energy absorbed.
Investigation of Annular Gap Size for Optimizing the Dynamic Range of MR Damper Using Comsol Multiphysics Software
Authors: Fathima Sharmila , Muthalif Asan Gani Abdul , Raisuddin Khan Md.
Published: August 2014

Magneto-rheological (MR) fluid technology has made it possible to develop reliable, revolutionary vibration control systems for a variety of commercial, medical and military applications. MR fluid shock absorber systems are enabled by remarkably versatile MR fluid technology, which allows the system to respond instantly and controllably to varying levels of vibration or shock with simple, robust designs. This paper presents a parametric study of the MR dampers for semi-active vibration control. The influence of gap size of the damper on the viscous stress of the MR fluid is examined. It is inferred from the study that the viscous stress of the MR fluid for different parameters such as gap size influences the dynamic range of MR fluid dampers.The simulated results depict a maximum viscous stress of 1765.441 N/m2for a gap size of 1.85 mm. The developed dynamic range would allow for smaller size of the device, higher dynamic yield stress and low power consumption. The simulated results using COMSOL multiphysics for the verification of the parametric strategy have been presented. Results of this study shall enhance the design of MR dampers for different control applications.
Evaluating the Effect of Main Factors in Manufacturing Production Line Based on Simulation Experiment
Authors: Hatami Milad , Zahraee Seyed Mojib , Khademi Alireza , Shahpanah A. , Rohani Jafri Mohd
Published: August 2014

Productivity plays a significant role for most companies in order to measure the efficiency. In reality there is an essential need to evaluate the different factors which increasing productivity and achieving the high level of quality, high production rate , machine utilization. On the other hand, manufacturing companies are striving to sustain their competitiveness by improving productivity and quality of manufacturing industry. So it can be acquired by finding ways to deal with various industrial problems which have affected the productivity of manufacturing systems. This paper aims at applying statistical analysis and computer simulation to recognize and to weight the significance of different factors in the production line. Based on the final result the two factors which are B (Number of labor) and C (Failure time of lifter) have the most significant effect on the manufacturing system productivity. In order to achieve the maximum productivity the factors should be placed on the levels which are: A= -1, B=1, C=1 and D=1. This means that the service rate of mixer = UNIF (20, 40), number of labor=20, failure time of lifter =60 min and number of permil=5 respectively.
Hydraulic Stability of Interlocking Concrete Unit-V (ICU-V)
Authors: Noor Nur Diyana Md , Hashim Ahmad Mustafa
Published: August 2014

Continuous research is conducted to improve the available coastal protection scheme, including to develop an innovative concrete armor unit with interlocking capability. Interlocking Concrete Unit-V (ICU-V) has light weight characteristic and developed specifically for mild wave condition. This paper discusses the performance of ICU-V represented by the Stability coefficient, KD and results of the damage progression investigation under different wave conditions. These were achieved by conducting a 2-D physical model investigation by using JONSWAP random wave spectrum. The damage ratio method was used to assess the damage progression. The optimum KD obtained was 12 with highest damage level of 0.4%, which is comparable with available armor units
Microwave Thermal Conversion of Oil Palm and Related Biomass for Biofuels and Biochars
Authors: Ani Farid Nasir
Published: August 2014

Energy crisis and continuously fluctuating cost of petroleum have move attention of researchers toward renewable and sustainable energy sources and materials. Biomass or bioresources is one of the abundant and cheap renewable energy sources and materials that is environment friendly in Malaysia and other tropical countries in the world. It has been identified as one of the main sources of the sustainable energy in the fifth fuel strategy in Malaysia. This paper describes several possible routes to provide energy as well as potential value-added products from bioresources. The future trend in thermo-conversion processing of the biomass is the utilization of microwave energy into renewable bio-fuels, materials and chemicals. The potential of uses of bio-oils and bio-chars from oil palm solid wastes for biofuels, materials and chemicals are given. The applications of these renewable sources to produce biofuels, materials and chemicals have been applied in some countries around the world. The implementation of the biomass technology will be best utilized and feasible when the technology is developed locally, fabricated and commission with the utilization of locally produced biomass. With the research and development efforts developed locally towards local expertise will help to produce indigenous technologies, thus reducing the high cost of import technology.
Design of Supplier Selection Procedure in Garment Company
Authors: Amaranti Reni , Supena Agus N. , Ramadhani Agelin S.
Published: August 2014

The purchase of raw materials is very influential for the quality of products produced in addition to the process of making the product itself. Therefore, how to choose the supplier from the available alternatives is something that must be done properly in the process of procurement of raw materials especially for companies with many product variations and associated with many suppliers.
This paper discusses about how to make supplier selection procedure for garment company with a case on a medium scale garment company in Bandung that manufactures veil and Moslem fashion. Mapping of business processes using IDEF0 was the first step in designing of supplier selection procedure. Then performed an analysis of the process which is usually done to identify the weaknesses and strengths of the process. The next step is create a design of supplier selection procedure that is more structured and measurable. In addition, also designed a tool that can be used in the supplier selection process, which is a simple application to determine the ranking of suppliers who will be selected based on the criteria specified. The application is based on the decision-making process with The Analytical Hierarchy Process approach that has been commonly used as a tool for decision-making with many alternative choices. In general, the resulting procedure would be beneficial for the company as a guide for those involved in the procurement process at the purchasing department, primarily for decision making in supplier selection.
Improvement of Work System with Ergonomic Approach of Domestic Shoe Industry in Cibaduyut Bandung
Authors: Sri Rejeki Yanti , Rahman As'ad Nur , Achiraeniwati Eri
Published: August 2014

Cibaduyut is the center of the shoe industry in the city of Bandung, West Java Indonesia. Shoes that are produced here are mostly produced by small-scale industries scattered in Cibaduyut area. The process of making shoes that are made by small industries, still uses simple facilities and techniques, with no attention to the aspect of comfort, safety and occupational health. The work facilities used today causes inconvenience to employees in their work. The results of the survey (by distributing Discomfort Questionnairre), we obtained information stating that the workers complained on several problems concerning the body dimension during the work progress. From this illustration we can say that it is necessary to evaluate the working posture to minimize the risks arising from the work by methods RULA (Rapid Upper Limb Assessment). The results obtained from Rula shows some works that are done are at the level 4, which means that this work belongs to high risk and needs to be improved immediately. Therefore we should provide the design facilities such as desk to work in pattern, sole, and finishing work station which are needed to improve posture. The size of product design tailored to the size of the body dimensions of workers with anthropometric methods. The design of the facility will improve the posture of workers in their work.
Improving Productivity in a Bank System by Using Computer Simulation
Authors: Hatami Milad , Zahraee Seyed Mojib , Ahmadi Milad , Golroudbary Saeed Rahimpour , Rohani Jafri Mohd
Published: August 2014

With advent of high technologies, simulation software becomes more applicable between organizations’ managers. Simulation can model the real situation on a visual program. It will make the understanding of system, properly. Nowadays in each organization, the main considered factor is how they can improve its services confidently. This study emphasize on customer satisfaction and reducing the waiting time for customers in a bank service system. The goal of this paper is applying ARENA simulation software for modeling the system and measuring the performances. In addition, three strategies are implemented that each strategy consists of several scenarios. 17 possible scenarios are compared to achieve all kind of results that can be imagined. It would be very helpful for manager to analyzes and compare the results then find the lowest and highest effective element for improvement.
Phase Evaluation of Pure Mg, Mg-1Ca and Mg-1Ca-3Zn ‎Alloys by Thermal Analysis Used in ‎Medical Applications
Authors: Bakhsheshi-Rad Hamid Reza , Hamzah Esah , Idris M.H. , Farahany S. , Fereidouni‎ A.
Published: August 2014

In this research paper phase identification was conducted based on the thermal and microstructural analysis of pure Mg, binary ‎Mg-Ca and ternary Mg-Ca-Zn alloys which have been received significant attention to be used as biodegradable implants. ‎Thermal analysis results show that nucleation temperature of primary Mg decreased and solidification range expanded with ‎adding Ca and Zn to the Mg melt. Moreover, characteristics temperatures of intermetallic phase assess for Mg-1Ca and Mg-‎‎1Ca-3Zn alloys. Microstructural evolutions of specimens were characterized by optical microscopy, scanning electron ‎microscopy (SEM) and energy dispersive x-ray spectroscopy (EDS). The result revealed that the identification of Mg2Ca and Ca2Mg6Zn3 ‎intermetallic phases by thermal analysis which were also detected by EDS. Furthermore with addition of Ca and Zn elements, the ‎coherency time increased while, the fraction of primary α-Mg at dendrite coherency point (fαDCP ) decreased.‎
The Research on the Long-Effect Mechanism of Industry-University-Research Cooperation Based on Swarm
Authors: Wang Yu , Gu Xin , Yu Fei Na , Chen Ming Sheng
Published: August 2014

The paper regards the speculative behavior in Industry-University-Research collaboration (IURC) as a process of principal-agent game with asymmetric information; establishes a dynamic model of the IURC with asymmetric information. And on this base we conduct simulation research combined with the reputation mechanism to reveal the forming process of mixed strategy between the two parities.
Competitiveness Analysis of Electricity in End-Use Energy Consumption Based on Fuzzy-AHP in Northeast China
Authors: Niu Dong Xiao , Fan Jiao , Chen Yan Chao , Zhu Guo Rong , Liang Liang
Published: August 2014

Since electricity is a kind of clean and high quality energy, it’s very important to increase the proportion of electric power among end-use energy market for the optimization of end-use energy consumption structure. This paper mainly processed the design of reasonable evaluation index system and scientific competitiveness evaluation of electricity in end-use energy based on Fussy-AHP theory. According to the consequence of electricity competitiveness in Northeast China, it has proved that the model has high reliability and practicability.
AC Drive System with Multiphase Induction Motor for High Power Mining Haul Trucks
Authors: Gao Yue , Huai Bo Chao , Ji Kai , Yuan Fei Xiong , Zhu Jun , Hua Bin
Published: August 2014

Electric mining haul trucks are one of the most challenging applications of power electronics in automotive systems. This paper presents some advances of AC drive system with multiphase induction motor in high power mining haul trucks used in the special operation and environment. It is established that the use of inverter-fed dual three-phase (DTP) induction motors with vector control is the preferred solution to reach the required high starting torque, widely variable-speed range and good dynamic performance required by these vehicles. Key technologies and design features for the drive systems under extreme operating conditions are discussed.
Design and Analysis of a Sawing-Milling Compound Machining Center for Special-Shaped Stone Products
Authors: Zhao Do Hong , Sun Jing , Zhang Ke , Wu Yu Hou , Lu Feng
Published: August 2014

Nowadays, the equipment for processing special-shaped stone products is developing towards high efficiency, intelligent and multifunction. Based on the features of stone processing technology, a sawing-milling compound machining center with eight axes and double five-axis simultaneous control for special-shaped stone products was designed. The dynamic performance and processing capacity were tested. Research shows that the sawing and milling compound machining in the same horizontal slide saddle is practicable. This machine can realize both vertical and horizontal machining under five-axis simultaneous control, and its machining accuracy is better than the normal industrial standard.
Research of Armored Vehicle Cabin Environment Comprehensive Evaluation
Authors: Liu Wei Ping , Yan Xian Zhi , Huang Guan Sheng , Jin Yi
Published: August 2014

According to the characteristics and demand of the armored vehicle cabin environment evaluation, the cabin environment parameters are processed the method of dimensionless normalized processing, the weight coefficients of each parameters are evaluated by using analytic hierarchy process (AHP), the result vector of fuzzy comprehensive evaluation is analyzed by using weighted average principle, the result is ideal. At the same time, considering the problems of the fuzzy comprehensive evaluation and the particularity of military vehicle evaluation, the ultra limit additional evaluation is proposed.
High Power Factor LED Driver with Improved Inductance
Authors: Chen Lun Qiang , Chen Qing Hua , Liang Ying Chun , Lu Yi Ming
Published: August 2014

This paper proposes a novel high power factor LED driver based on SY5800A for interior-lighting applications. High power factor is achieved by using the transformer with back winding coil and the transformer with “sandwich” winding coil. In addition, the proposed driver features cost-effectiveness, high circuit efficiency, low input current ripples and a reduced components count. A sample driver is developed to supply a 15W LED interior-lighting module with a 0.99 power factor. Experimental results demonstrate the functionalities of the proposed circuit.
A Symbolic Dynamics Approach to Random Walk on Koch Fractal
Authors: Luo Hong , Tan Ying , Peng Shou Li
Published: August 2014

The paper presents a new symbolic dynamic approach to the research of the random walk andBrownianmotion(BM)on Koch fractal. From the symbolic sequence of Koch automaton, on the one hand, we obtained the geometric description of the Koch curve completely, and constructed the state space of the random walk with the symbolic sequence. And the precise arithmetic representation of Koch curve is provided by the deterministicRademachersequence. On the other hand, the arithmetic feature of the Koch automaton, the position numbers, forms a partition of integer , which is naturally a one-dimensional lattice, it will be underlying space of theBMdirectly. When the chemical distance is introduced to measure the distance between two states, analytic results of the model for random walk on Koch fractal are obtained, particularly the relation between the chemical distance and the Hausdorff measure is discussed, and the Wiener Process in terms of Hausdorff measure is constructed parallel.
Research on Vibration Control of Offshore Platform Based on Self-Recentering Rocking Wall
Authors: Zhang Ji Gang , Niu Qun
Published: August 2014

Self-recentering rocking wall is used in JZ20-2 north high wellhead platform, making simulation analysis to the whole structure subjected to ice load and earthquake load by the finite element software ANSYS, then analyses the nodal displacement and acceleration responses under the condition of different platform rocking wall stiffness, different floating box’s location, different buoyancy case. The results show that stiffness is the main factor affecting the seismic performance of offshore platforms, floating box can effectively reduce the dynamic response of offshore platform.
A Novel Single-Stage LED Driver Based for Interior-Lighting Applications
Authors: Chen Qing Hua , Chen Lun Qiang , Liang Ying Chun , Chen Ying Jun
Published: August 2014

This paper proposes a novel single-stage LED driver based on SY5814A for interior-lighting applications with high levels of power factor. High power factor is achieved by constant on-time operation mode, with which the control scheme and the circuit structure are both simple. The proposed driver features cost-effectiveness, high circuit efficiency, high power factor, low input current ripples and a reduced components count. A prototype driver is developed to supply a 15W LED interior-lighting module with a 65V output voltage. Experimental results demonstrate the functionalities of the proposed circuit.
The Design of Squib Analysis Algorithm Based on Raster Data
Authors: Kong Li Hong , Su Qian Min
Published: August 2014

Firstly this paper analyzes the status quo of Chinese underground pipeline management system. Secondly by the use of network data model in grid points set space, the space grid search algorithm and operability analysis algorithm squib are proposed. Finally the water pipe burst pipes analysis of experiments is designed from which the search of the upstream shut-off valve and analysis burst pipes in affected area are realized. Data bottlenecks brought by the vector data in the practical application are solved.
Application of Optical Fiber Sensing Real-Time Monitoring Technology Using in Ripley Landslide
Authors: Zhang Xiao Fei , Lv Zhong Hu , Meng Xian Wei , Jiang Fan , Zhang Qing
Published: August 2014

Nowadays, fiber optic technology has been used in sensing. Using the distributed optical fiber sensing technology in the landslide monitoring, the linear strain distribution information of the whole landslide can be obtained, and adopting the Fiber Bragg Grating sensing technology in the landslide monitoring, the key pot strain and displacement information can be gained. This paper firstly reviews the basic principle of optical fiber sensing, and then describes the optical fiber sensing real-time monitoring system by combining with FBG technology, BOTDR technology, database technology and web server technology, and finally presents a field application experiment using the real-time monitoring system in Ripley landslide in Canada. The experiment indicated that the real-time monitoring system can be realized real-time monitoring of FBG and BOTDR for landslide, and the experience can be extended to other landslide.
LabVIEW Applications for Fiber-Optic Remote Test and Fiber Sensor Systems
Authors: Su Liang Yu
Published: August 2014

This paper demonstrates applications of LabVIEW in automatic test measurement of fiber optic system.First,the LabVIEW applications in fiber optic system and the basics of instrument connectivity are presented.Then,the aspects of hardware communication to external instruments through GPIB and serial interfaces are analyzed.Next,self-calibrating automated characterization system for depressed cladding applications is demonstrated utilizing the LabVIEW’s GPIB interface. Results of the manual and automatic measurements and the analysis of the measurement trace obtained from the optical time domain reflectometer (OTDR) are shown.In the end,two applications of LabVIEW in fiber optic sensor system are discussed.
A Digital Carrier Monitoring System Based on Software Defined Radio
Authors: Yang Yu Jie , Han Gang Weng , Yang Zhe , Shao Hua
Published: August 2014

With the development of DSP technology and improvement of computer hardware performance, software radio technology has been widely applied in the area of satellite communication. Digital carrier monitoring system is a new type of satellite communication spectrum monitoring system. It is based on software radio technology and is networked design, having realized functions of spectrum remote monitoring and networked virtual instrument. This article analyzed functions and working principals of this system, and summarized its application in earth station.
USRP: A Flexible Platform for Spectrum Monitoring
Authors: Yang Jing Jing , Huang Ming , Yu Jiang , Li Lin , Li Ling
Published: August 2014

Software-defined radio (SDR) is a kind of radio communication system which attempts to place much or most of the complex signal handling involved in receivers and transmitters into the digital style. As wireless technologies become ubiquitous, SDR are gaining popularity. In this work, we introduce the SDR platform USRP with emphasizes on hardware components, signal processing procedure and the supporting software. A radio spectrum monitoring system based on USRP and LabVIEW is designed and implemented, and web publishing of the real time spectrum is realized.
Structural Damage Identification Method Based on Displacement Data
Authors: Sun Hong Yue , Wen Fan
Published: August 2014

Structural damage identification is a hot research topic in the field of building structural health monitoring, according to the problem of building structural damage is difficult to accurately identify, conducting the research of the abnormal monitoring data. In the summary and the research on the basis of the current domestic construction structure damage identification theory, this paper proposes a combined with finite element method based on displacement measurement data of structural damage identification methods, verified by the structure model building in PKPM finite element software, the method has higher recognition accuracy and operability and effectiveness.
Fractal Dimension and Characteristic of Tree Branch Growth
Authors: Wang Ji Zhe , Guo Yan
Published: August 2014

Fractal analysis of plant spatial patterns has been used to characterize the regressive ecological succession. The fractal dimension is used as a variable to help in charactering specific patterns in different kind of trees. A computational program was developed to process, analyze and extract the features of images of tree branch structure. Results are presented from four experiments to determine plant species from the color image of tree branch growth.
The Optimization Selection of Input Variables for Mid-Term Power Load Forecasting Based on Gradually Similar Method
Authors: Zhu Ji Ping
Published: August 2014

Gradually similar method is putted forward in the paper. The rules of selecting the independents are analyzed. And the foundations of that the variable has been permitted to enter to or eliminate from the model are described. The idea is to forecast medium and long term load of shanxi Province with using this method, and reasonable to select the economic indicators having influence on the power load. Then, these economic indicators were screened by the gradually similar method. Gradually similar method new putted forward is used for the optimization selection of the model input variables, and forecasting accuracy is discussed .Simulation results show that the method brought forward is right and feasible.
Detection of Organic Pollutions Using Artificial Neural Networks and Domain Transform Techniques
Authors: Gao Ling , Ren Shou Xin
Published: August 2014

This paper presented a novel method for detection of organic pollutions based on artificial neural networks combining domain transform techniques. Domain transform techniques are mathematical methods that allow the direct mapping of information from one domain to another. The most effectively used domain transform technique is wavelet packet transform (WPT). Wavelet packet representations of signals provided a local timefrequency description and separation ability between information and noise. The quality of the noise removal can be further improved by using best-basis algorithm and thresholding operation. Artificial neural network (ANN) is a form of artificial intelligence that mathematically simulates biological nervous system. Generalized regression neural network (GRNN) is a kind of ANN and is applied for overcoming the convergence problem met in back propagation training and facilitating nonlinear calculation. In the case a method named WPT-based generalized regression neural network (WPTGRNN) was used for analyzing overlapping spectra.
Robust Speech Emotion Recognition with Novel Sub-Band Spectral Centroid Weighted Wavelet Packet Feature
Authors: Zhang Guo Bao , Li Yue , Huang Yong Ming
Published: August 2014

In this paper, we propose novel sub-band spectral centroid weighted wavelet packet cepstral coefficients (W-WPCC) for noise-robust speech emotion recognition. Experimental results show that the W-WPCC feature demonstrates better noise-robustness in noisy environments.
Efficiently Mining Maximal Frequent Itemsets Based on Digraph
Authors: Wu Qiang , Wu Ding We , Wang Qin , Wen Shao Min , Tu Rong
Published: August 2014

In this paper, a novel algorithm for mining maximal frequent itemsets is presented, which has a pre-processing phase where a digraph is constructed. The digraph represents the frequent 2-itemsets which play an important role on the performance of data mining. Then the search for maximal frequent itemsets is done in the digraph. Experiments show that the proposed algorithm is efficient for all types of data.
Hybrid Clustering Algorithm Based on KNN and MCL
Authors: Chen Yan , Niu Qin Zhou
Published: August 2014

MCL is a graph clustering algorithm. With the characteristics of the MCL computational process, MCL is prone to producing small clustering and separating edge nodes from the group. A hybrid clustering based on MCL combined with KNN algorithm is proposed.
Hybrid algorithm improves the quality of clustering by reclassification of elements in small clustering by using KNN classification characteristics and Clustering tables required by MCL clustering. Experiment proves the improved algorithm can enhance the quality of clustering.
A Face Recognition Method on Mobile Terminals Based on Manifold Learning
Authors: Li Yong Gang , Zhu Rong , Zhang Cong Cong , Gong Xun Wei
Published: August 2014

A face recognition method on mobile terminals based on manifold learning was proposed. Firstly, the modified Snake model was set in order to improve the accuracy and effectiveness of facial feature point labeling. Then, the partial mapping method was carried out to map the face images to a subspace for further analysis. Finally, the nearest neighbor classifier was enhanced to show the recognition results. The experimental results indicate that the performance of this method is excellent. It is boasts a higher accuracy rate and bigger robustness than the ordinary methods.
Deductive Synthesis of Algorithms in Human-Computer Interaction
Authors: Shi Hai He , Shi Hai Peng
Published: August 2014

Deductive synthesis is a method of software development where an algorithm is derived from a formal problem specification which guarantees the reliability of final product. The paper introduces a program synthesis method PAR most of whose synthesis steps are mechanical and some of them can be done interactively by human-computer interaction, and formally synthesizes a dependable algorithm for a selection problem supported by PAR method and PAR platform. Program synthesis based on PAR covers a number of classical algorithm design tactics, develops algorithmic programs together with their proof of correctness, and makes the algorithm more reliable and solving idea more understandable.
Information Entropy Based Fuzzy Pattern Recognition Model for Identification of Vulnerable Groups in Water Resource Conflicts
Authors: Lv Li Feng , Chen Yan Ping
Published: August 2014

Identification of vulnerable groups in water resource conflicts is to improve the identification of vulnerable groups in the allocation of water rights and water markets water rights system. There are two difficulties: one is how to determine the weight of evaluation indexes; another is how to effectively deal with the subjectivity of the evaluation process and the low resolution. Therefore, this paper proposes “Information Entropy Based Fuzzy Pattern Recognition Model for Identification of Vulnerable Groups in Water Resource Conflicts (EFPQ-VRWC)” according to the fuzzy pattern recognition based on the combination of the maximum entropy principle and genetic algorithms. And identifying vulnerable groups of Daling River Basin in Liaoning Province, it illustrates the method of application value. And evaluation results have continuity, comparability and versatility so that can accurately reflect the level of vulnerable groups in water resource conflicts.
A Unitary-UCA-Root-MUSIC Algorithm Based on MSWF
Authors: Guo Qiang , An Yun Fei
Published: August 2014

A UCA-Root-MUSIC algorithm for direction-of-arrival (DOA) estimation is proposed in this paper which is based on UCA-RB-MUSIC [1]. The method utilizes not only a unitary transformation matrix different from UCA-RB-MUSIC but also the multi-stage Wiener filter (MSWF) to estimate the signal subspace and the number of sources, so that the new method has lower computational complexity and is more conducive to the real-time implementation. The computer simulation results demonstrate the improvement with the proposed method.
Speech Perception Hash Authentication Algorithm Based on Immittance Spectral Pairs
Authors: Huang Yi Bo , Zhang Qiu Yu , Yuan Zhan Ting , Xing Peng Fei
Published: August 2014

According to the situation that traditional speech authentication algorithms don’t be appropriated for present speech communication, we proposed a speech authentication algorithm of perceptual hashing based on Immittance Spectral Pairs. It can satisfy the requirement of the efficiency and the robustness for speech authentication. Firstly, the speech signal pre-processing, for framing, adding window, obtained for each speech frame immittance spectral Pairs parameters, constitute an immittance spectral Pairs parameter matrix. Then process cepstral mean and variance normalization for immittance spectral Pairs parameter matrix, cepstral mean and variance normalization can effectively improve the robustness of the Gaussian white noise. And parameter matrix for non-negative matrix factorization. Finally, quantifying the formed weight matrix and getting perceptual hashing sequences.Experiments show that the proposed algorithm has good robustness for content preserving operations, and it doesn’t reduce the efficiency while meeting robustness, it can satisfy the real-time requirement of speech communication.
Research on the Edge Detection Algorithm of Smokescreen Based on Mathematical Morphology
Authors: Sun Xun , Wang Xuan Yu , Luo Zhi Rong , Xiao Han
Published: August 2014

To solve the harmony problem of accuration, real-time with anti-noise capability on edge detection of smokescreen, the edge detection algorithm of smokescreen based on multi-scale mathematical morphological is designed, and the algorithm can effectively reduce the noise of the smokescreen image. Compared with the results of classical edge detection operator: Sobel, Roberts, Prowitt and Canny etc, it is concluded that the algorithm designed has obvious advantages in continuity, smoothness, image recognition, practical complexity, operation time and other related parameters.
FDCT on the Edge of the Image Detail Enhancement Improvement
Authors: Zhang Yong , Qian Yan
Published: August 2014

Image edge details contains a rich amount of informations, enhancing edge details is the key of image post-processing. Traditional enhancement methods often lead to edge detail information lost. Fortunately, we find the curvelet transform good performance to reflect the detail information in the edge. In this paper, we add Wrap step to USFFT algorithm based on the Fast Discrete Curvelet Transform (FDCT), and adopt cyclic shift method and Er iteration. At the same time, we adopt adaptive threshold method. In order to get the objective evaluation result, comparing the wavelet algorithm and FDCT to the proposed method, we select peak signal-to-noise ratio. Experimental results show that the proposed method is not only superior to wavelet method, but also superior to single FDCT in the edge and detail information preservation.
Unsupervised Image Segmentation via Affinity Propagation
Authors: Peng Wei Fu , Du Shu , Li Fu Xiang
Published: August 2014

Image segmentation is an important research subject in the area of image processing. Most of the existing image segmentation methods partition the image based on the single cue of the image, the color, which brings a serious limitation when the complex scenes involve in the natural images. In this paper, we introduce a novel unsupervised image segmentation method via affinity propagation which takes into local texture and color features with superpixel map. The new method fuses color and texture information as local feature of each superpixel. The experimental results show that the proposed method performs better and steadier when partitioning various complex nature images, comparing to the existing methods.
Design and Research of LED Intelligent Lighting System
Authors: Li Xiang Rong , Wang Hai Peng , Li Guo Shuai
Published: August 2014

In order to intelligentize the LED lighting systems,this system adopts the Freescale series MC9S08AC16 as the controller, senses the light environment induced by the photoresistor and uses the SS-101 pyroelectric infrared sensors to sense the presence of people. In addition, it uses LM3404 chip to drive LED headlamp unit and by changing the duty cycle of PWM to achieve the switches and automatic adjustment of brightness of LED lights. Experiments show that the light source brightness provided by this system is stable and reliable and the combination of infrared sensing technology and PWM technology achieves the intelligence of LED lights. Moreover, it has high application value.
Novel Stabilization for Systems with Two Additive Time-Varying Delays
Authors: Xiong Liang Lin , Li Di , Zuo Yan Fang
Published: August 2014

This paper provides a new delay-dependent stabilization criterion for systems with two additive time-varying delays. The novel functional is constructed, a tighter upper bound of the derivative of the Lyapunov functional is obtained. These results have advantages over some existing ones in that the skillfully combination of the delay decomposition and reciprocally convex approach. Two examples are provided to demonstrate the less conservatism and effectiveness of the results in this paper.
The School Bus Safety System Design for Preventing Children Forgotten in the Car
Authors: Zhang Xiao Ming , Peng Bin , Liu Jian Min , Qiao Xin Yong
Published: August 2014

In recent years, the frequent occurrence of kindergarten school bus driver or teacher left children in the car, which leads to the accident, injury and even death. Based on UHF RFID technology has developed a safety system which can effectively prevent child being forgotten in school bus. After testing, the system is high reliability, low false alarm rate and with easy installation, low cost and so easy to put on the market.
The Software Design of the Intelligent Lappet Loom
Authors: Zhao Min Yuan , Shi Yi Ping
Published: August 2014

This article introduces the software system of the intelligent lappet loom. Its structure and implementation are discussed in detail. The purpose of the system is to provide a data management platform for fabric designers. The pattern simulation and the transmission of the design data are implemented. The proposed system can help fabric designers to work more efficiently, so that the cycle of fabric development is shortened and then the cost of fabric production is decreased.