bluuebunny/crossref_metadata_2025 huggingface dataset:
The Operational Modal Analysis of an Industrial Sewing Machine
Authors: Zhang Li , Li Ya Jun , Ma Yan Miao
Published: March 2013

The operational modal analysis (OMA) was conducted on a certain industrial sewing machine to identify its modal parameters. Harmonic analysis was carried out through the OP.Synthesis method and false modes were removed according to the Modal Assurance Criterion, finally the natural frequency, damping ratio and modal shape were obtained. The vibration in the low frequencies is mainly nodding and shaking, while that in the high frequencies is local expansion of the head and motor end. The result shows that, the modal parameters of the industrial sewing machine can be well identified by the OMA method. This paper provides a valuable reference for the vibration source identification and structural vibration reduction.
Analytical Evaluation of Al 6082-T6 Weld Zone Using Randomised Mixing Material Model
Authors: Kim Dae Young , Kang Woo Jong , Cho Haeng Muk , Cheon Seong S.
Published: March 2013

In the present study, the strength characteristics of weld zone in the extruded Al6082-T6 has been investigated both by experiment and finite element analysis. The measured heat affected zone was modeled by the combination of deposited metal and a base metal with randomisation. Results from the randomised finite element analysis were compared with tensile test data depending upon the fracture behavior and strength characteristics of weld zone. Three cases of the randomised macro mixing of two materials in HAZ with three types of mixing ratios. Among them, the case 3, which contains the smallest amount of the portion of the base material, showed good agreement with experiment within the allowable error of 12%.
Finite Element Analysis for the Design of Branched Artificial Blood Vessel of Aortic Arch
Authors: Wang Fu Jun , Zhang Lei , Wang Lu , Li Chao Jing , Ge Peng , Lian Ming Qiang , Li Xuan
Published: March 2013

In order to set up a curved-shape branch artery-blood coupling model and investigate the effect of the material change in artificial blood vessel on the hemodynamic state, the method of finite element and Fluid Solid Interface in Ansys CFX was used to achieve the structural and fluid analysis with different materials. The displacement of tubular wall was increasing with the young's modulus decrease of material, and the tendency became clear. The von mises stress of the tubular wall is not well-distributed, and the value at the inlet of main artery and branch artery were large. However, at the outlet of artery was small, and the von mises stress of tubular wall with different materials has little difference. Results show that, the hemodynamic state was different with different materials, and the finite element method is helpful to the design and preparation of artificial blood vessel.
The Controlling Research of the 3D Bionic Snake-Like Robot Based on the Arduino
Authors: Song Tian Lin , Lu Ya Ping , Liu Hai Qing
Published: March 2013

This paper was based on the control system which consisted of the Arduino controller and extension circuit. It adopted the controlling mode of combination of the distributed controlling and centralized controlling and the multichannel joints’ parallel controlling method. The bionic snake-like robot of many joints was controlled to accomplish 3D motion.
The Interface Design and Usability Evaluation of Interactive Virtual Reality Navigation System
Authors: Su Kuo Wei , Wang Hao Yi , Wu Yi Ying , Kuo Nai Hsin
Published: March 2013

Virtual reality is an innovative technology, which allows users to immerse in an imagined situation. Therefore, promoting virtual reality technology can provide more natural and specific interaction mode. The purpose of this study is to investigate interactive virtual reality navigation system by testing 15 participants to evaluate the system and analyze the results with Delphi method and Heuristic Evaluation. Besides, we used Questionnaire for User Interaction Satisfaction (QUIS), Usability Metric for User Experience (UMUX) questionnaires and interviews to understand user experience. The results show the new system is better than the old one. The interactive VR navigation system design principles (easy to use, consistency, richness, feedback, simple prompt and documentation) obtained from this study can be used to enhance the satisfaction of the users when designing the interactive VR navigation system in the future.
Numerical Study on Aerodynamic Characteristics of NACA0015
Authors: Lee Su Jeong , Jeong Eui Chul , Lim Hee Chang
Published: March 2013

In this study, a numerical simulation is made to understand the effect of the angle of attack on a NACA airfoil, which will be used for a basic shape to apply for making the vertical axis Darius wind turbine. The near-wall y+ value which is less than 1 is known to be most desirable for a near-wall modeling. Therefore, this study is aiming to observe the variation and find the optimized value of y+. The Reynolds number used in this study was 360,000, where the chord length and the velocity were 0.12m and 43.8m/s, respectively. Generally, the lift coefficient of the airfoil tends to increase as the angle of attack increases and it decreases substantially at the stall angle and then it decreases. As expected, the lift coefficient increases rapidly from 0 to 10° and then after the sudden drop of the lift (i.e., the stall) at around 10 to 16° depending on the y+ value. In this paper, it seems to be reliable and appropriate to use y+ value close to 1. From the surface pressure distribution, from the result obtained the ratio of pressure distribution of maximum value to the minimum value was 1.89and these peaks move forward to backward as the angle of attack increases.
Interface Design of the Location-Based M-Tourism Application
Authors: Su Kuo Wei , Wang Chao Hung , Chen Po Hung , Wu Yi Ying
Published: March 2013

Along with the development of smartphones and tablets world-widely, and the progress of mobile internet and Wi-Fi hotspots, users can acquire information via mobile devices anytime and anywhere.In recent years, Taiwan's tourism is flourishing, more and more foreign travelers come to visit Taiwan.Therefore, providing a user-friendly M-tourism system for foreign travelers can help them to experience more during traveling.We referred the theories of human-computer interface design to develop our M-tourism system—the LBS M-tourism Application.This system not only provides online traveling information, but integrates with location-based services (LBS). The LBS M-tourism Application can use global positioning system (GPS) technology, and provide traveling information or services to the user based on his/ her present location.
The Design of Bee Products Quality Tracking System Based on Android Smartphone
Authors: Kong Ya Guang , Chen Tian Jun , Hu Xiao Fei , You Zhao Tong
Published: March 2013

In order to guarantee the safety of bee products, combining with other countries’ experiences and the characteristics of our own bee industry, this paper puts forward the bee products quality tracking system based on Android smartphone. The Fig.1 displays its general framework. In Fig.1, our system links bee farmers with the cooperative and bee enterprise so that it forms a management model to reach our goal to realize the quality tracking. In our system, information submitted to the server step by step, and through this way we could get all data and their sources. Also this paper analyzes some key technologies of our system which includes Database and Coding Standard and GPS etc. We took advantage of the smartphone and 3G network to build this system. It is sure that such a system would have great influences on bee industry.
Effect of Sintering Conditions on the Bloating Property of Artificial Aggregates Made from Dredged Soil
Authors: Kang Seung Gu , Jo Si Nae
Published: March 2013

The artificial aggregates were fabricated by two sintering methods to recycle the dredged soil produced at thermal power plant in Korea. The first one is the direct sintering method in which the green body is to put into the furnace of preheated at the desired temperature, and the other is the temperature-rising sintering method in which the green body is to put into the furnace of 800~900 oC, heated with a heating rate of 15 °C/min to the final sintering temperature. The aggregate manufactured by the direct sintering method showed the highest bloating behavior than that of the temperature-rising method. To provide the holding time in the input step was to decrease the bloating behavior in the temperature-rising sintering method. The water absorption for the all aggregates was decreased with sintering temperature, and the values of aggregates made by direct sintering was higher than that of the temperature-rising sintering method. The aggregate made of dredged soil by using various sintering methods had the specific gravity of 0.9~1.8 and water absorption of 3~14 %, and so could be applicable for many fields such as civil, environmental, and agricultural engineering fields.
Investigation of Hydrogen Distribution from the Surface to the Depth in Technically Pure Titanium Alloy with the Help of Glow Discharge Optical Emission Spectroscopy
Authors: Lider A.M. , Pushilina N.S. , Kudiiarov V.N. , Kroening M.
Published: March 2013

Optimal operating parameters for the study of titanium-hydrogen system with the help of glow discharge optical emission spectroscopy have been selected. Hydrogen distribution from the surface to the depth in technically pure titanium alloy after electrochemical hydrogen saturation has been studied.
A De-Noising Algorithm Dealing with Spectral Signal in Color Measurement Based on Wavelet Transform
Authors: Li Hai Long , Xu Jun , Jia Wen , Zhu Sheng , Li Sha , Wu Meng Meng , Yi Bo
Published: March 2013

Spectral measurement is a common method for color measurement. Spectral data of color samples gathered by spectrometers contains a series of noises. The traditional de-noising methods have their limitation in dealing with such signal. In this paper, a de-noising method is proposed for spectral signal based on Wavelet Transform. Compared the performance of our de-nosing method with the traditional method, the results show that our method a better effect.
A New Switching QR Decomposition Adaptive Filtering Algorithm for Acoustic Echo Cancellation
Authors: Zhou Yi , Li Q. , Zhang T. Q.
Published: March 2013

This paper proposes a new adaptive filtering algorithm based on the p-TA-QR-LS algorithm [1]. With a coefficient-derivative-based switching scheme, the new algorithm can work between two modes (p=1 and N) and achieve overall optimum convergence performance. The resultant switching p-TA-QR-LS algorithm is thus particularly suitable for acoustic echo cancellation (AEC) where both fast convergence rate and low steady-state estimate error are desired. Experiments are conducted to verify its improved overall convergence performance.
A New Algebra Interpolation Polynomial without Runge Phenomenon
Authors: Chen You Jun , He Hong Ying , Zhang Shi Lu
Published: March 2013

Proposed a new algebra interpolation polynomial with preferable stability, analyzed the related properties as well as stability and computational complexity, etc. Proved the new algebra interpolation polynomial can approximate any continuous functions, and it can be used to calculate the high order derivative without Runge phenomenon.
High-Dimensional Data Dimension Reduction Based on KECA
Authors: Hu Yong De , Pan Jing Chang , Tan Xin
Published: March 2013

Kernel entropy component analysis (KECA) reveals the original data’s structure by kernel matrix. This structure is related to the Renyi entropy of the data. KECA maintains the invariance of the original data’s structure by keeping the data’s Renyi entropy unchanged. This paper described the original data by several components on the purpose of dimension reduction. Then the KECA was applied in celestial spectra reduction and was compared with Principal Component Analysis (PCA) and Kernel Principal Component Analysis (KPCA) by experiments. Experimental results show that the KECA is a good method in high-dimensional data reduction.
Exact Inference of Hidden Markov Tree for Image Segmentation
Authors: Zhang Yin Hui , He Zi Fen , Wang Sen , Shi Zhong Hai
Published: March 2013

Image segmentation methods that exploit multiscale information about images to be estimated have been extensively studied, typically using the Hidden Markov Tree (HMT) framework. we incorporate wavelet coefficients information of the original image in the form of Hidden Markov Tree model prior for the object segmentation. In this paper, we derive a generalized closed form inference scheme to exact determine the posterior likelihood at each iteration with definite number of iteration steps. Extensive experiments show that this method performs better than many competitive multiscale image segmentation methods.
A New Automotive Electronic Control System Open Architecture
Authors: Chen Ning
Published: March 2013

Considering the shortcomings of close car E/E control system, through the analysis of the open system requirements and characteristics of the car E/E control system, an open system structure of the automotive electronic control system based on quantum framework established/E adopts advanced software technology of embedded system. The electronic control clutch design experiments show that the system can get open role use style of the building and system based on this architecture more than a closed system.
Modeling and Simulation of Wind Turbine Driving PMSG with MPPT Control Based on Current Source Converter
Authors: Bao Wei Bing , Bao Jian Yu
Published: March 2013

This paper elaborates on the analysis and simulation of a megawatt Wind Turbine (WT) driving low speed Permanent Magnet Synchronous Generator (PMSG) based on Current Source Converter (CSC) using PSIM computer simulation program. The system consists of wind turbine, PMSG, maximum power point tracking (MPPT) and three-phase CSC models. In the WT model, the best performance coefficient has been determined according to the variable wind speed with MPPT control. The gear-box has been eliminated by the low speed PMSG to achieve high efficiency. The ac power output from PMSG is fed to a three-phase CSC, which extracts maximum power through closed-loop regulation of generator speed. The current source PWM inverter is used to interface the system with the electrical utility. The available maximum power fed to the grid is adjusted by regulating dc-link output current of CSC according to the variable wind speed.
Optimization of PID Controller Parameters Based on Improved Genetic Algorithm
Authors: Chen Ying , Ma Yong Jie , Yun Wen Xia
Published: March 2013

The current Proportion Integration Differentiation(PID) optimization design methods are often difficult to consider the system requirements for quickness,reliability and robustness.So an Improved Genetic Algorithm(IGA) is proposed.The new method of generating the initial population,adaptive change of crossover and mutation probability and effective selection strategy are used to optimize the parameters of PID controller. The simulation experiments with Matlab prove the new approach is valid.
Researching of Speed Regulation System for AC Permanent Magnet Synchronous Motor
Authors: Li Bing , Feng Yue Zhen
Published: March 2013

In order to improve the speed performance of permanent magnet synchronous motor(PMSM) speed control system, and increase system reliability and adaptability, PMSM current-speed double close loop speed control system based vector control was designed. Current loop adopted traditional PI controller, speed controller adopted adaptive fuzzy PI control method which was based on traditional PI control method and fuzzy control method. Space voltage pulse width modulation (SVPWM) technology was used to control working condition of the inverter. The system simulation model was established in MATLAB/SIMULINK environment, and ran this simulation model.The simulation results show that: This system is feasible, and adaptive fuzzy PI control system has better dynamic and static characteristics than traditional PI control method.
Stability Sliding Mode Control for Dual-Motor Independent Drive Electric Vehicle Based on Transient Reference Model
Authors: Lin Cheng , Peng Chun Lei
Published: March 2013

Motors of Independent Drive Electric Vehicle can be controlled independently, which can enrich the method of stability control for vehicle. In order to fully take use of the advantage，The man-vehicle system with eight degrees of freedom ,which includes Magic Formula tire model and driver model based on Preview Follower Theory, was set up by using MATLAB/SIMULINK. Considering the complexity of the driving condition and the nonlinear time-varying characteristics of the vehicle system, a Sliding mode controller based on transient reference model was set up, which selected Yaw rate as Control variable and two motors as actuators. The simulation results show that handling and stability of vehicle can be improved greatly by the Sliding mode controller.
The Speed and Position Control Method for Constant Magnetism Synchronous Motors Running at Low Speed
Authors: Ren Ya Heng , Zhu Ye Qing , Hao Cun Ming
Published: March 2013

In the rotor field oriented vector control system, the use of permanent magnet synchronous motor voltage equations and flux equations derived PMSM position and speed estimation method has its unique advantages, The advantage of this approach is to calculate a simple, fast dynamic response, and easy to implement. However, when permanent magnet synchronous motor running at low speed, back EMF would be very small, which can not guarantee the accuracy of estimates. In addition, the position and speed estimation parameters of permanent magnet synchronous motor is largely in dependence on the running status of permanent magnet synchronous motor ,and vulnerable to temperature and magnetic saturation phenomena.All of these elements will lead to error increase. In order to solve the problem of inaccuracy in parameters estimation of motors at low speed, PI controller is introduced to obtain the rotor speed information, and then make up for deficiencies in the estimation algorithm. At the same time, this method can be applied to achieve smooth switching of high speed switching of the motor.
VAV Terminal Unit Control Based on T-S Model with the Generalized Predictive Control
Authors: Li Shu Jiang , Wu Ying , Wang Xiang Dong , Tan Ming Hao
Published: March 2013

Nonlinear, large delay and time-varying are the main features of VAV air-conditioning and the object controlled models are uncertain. So it is difficult for PID controller to achieve an ideal control effect due to those features. In order to prove the VAV control stability and ensure indoor comfort, the T-S model with the generalized predictive control is applied to the control of VAV. Firstly, the VAV system of T-S model is identified by fuzzy clustering method and least square method, and the linear model is gotten, and it is controlled by the generalized predictive, the results show that this method has a very good control effect.
A New Digital Closed-Loop Control Accelerometer
Authors: Lin Bing Tao , Zhao Jian Hua , Li Wen Yun , Zhou Qian , Man Xin , Lin Ri Le , Weng Bang Ying , Dong Hong Kui , Xu Zhou , Zhang Qiao Yun
Published: March 2013

A digital closed-loop control quartz accelerometer with new structures is performed, which overcomes the disadvantages of restriction of measurement range and sensitivity of QVBA (quartz vibrating beam accelerometer). It has not only the same precision as QVBA in theory, but also large measurement range without reducing the sensitivity. The accelerometer is proposed to be used in large range and high-precision measurement of acceleration.
Study on Control of the Second Carbonation in the Clarifying Process of Sugar Cane Juice via Generalized Predictive Control Algorithm
Authors: Song Chun Ning , Zhong Wen Han
Published: March 2013

The second carbonation in the clarifying process of sugar cane juice is a dynamic nonlinear system which has the characteristics of strong non-linearity, multi-constraint, large time-delay, multi-input and other characteristics of complex nonlinear systems. In this paper, BP neural network is applied to the model of the second carbonation clarifying process of sugar cane juice. The generalized predictive control algorithm is employed to the optional control of color value in clarifying process of second carbonation. The result of Matlab simulation shows that generalized predictive control algorithm based on BP neural network implement the optimal control of the second carbonation with strong robustness and high control precision.
A Smart Marine Corrosion Sensor Used in Marine Survey
Authors: Sun Hu Yuan , Sun Li Juan , Liu Zeng Wen , Zhu Su Lan
Published: March 2013

A smart marine corrosion sensor, as a ship carried equipment, was developed by the authors to measure corrosion potential and corrosion current of materials in seawater. Measuring principle and characteristics of the corrosion sensor are described in the paper. This corrosion sensor, named FS-1, developed by the authors under the aid of 863 research project, had been used to investigate the seawater’s corrosivity in the autumn open cruise, which was performed by Science I Research Vessel in November 2009.
Anti-Jamming Modification of Exciting System in 600MW Generating Unit
Authors: Chen Zeng Ji , Fang Wei Min , Guan Cong Rong
Published: March 2013

In order to reduce excitation system swing and resultant reactive power swing, namely, reduce external electromagnetic interference to stable operation of 600MW generating unit, the paper analyses unit excitation control mode and designs hardware and software of excitation system. First, digital microcomputer control system organization was designed based on nonlinear control theory, which had an increase of control mode such as PID control mode, nonlinear optimum electronic control (NOEC) mode besides original voltage difference and current control mode. Second, full duplex collocation configuration mode of excitation system was designed, namely two controllers were master-slave concurrent, and each controller could meet excitation requirement of various operation condition including constrained excitation. Finally, in electric network disturbance test, measured excitation system parameters recovered stably in 1020 ms such as stator voltage Ut, rotor voltage Uf, comprehensive amplified control voltage Uc, active power P and reactive power Q. It is verified that transient stability and unit operating condition are improved.
Study of Mixed-Model Assembly Line Petri Net Modeling Based on Agent
Authors: Xu Shu , Li Fu Ming
Published: March 2013

This article focuses on the study of optimization of mixed-model assembly line modeling. Based on colored timed Petri net, it forms knowledge colored timed Petri net by introducing Agent technology and knowledge place. Through taking advantage of Agent technology, it modularizes each technique process of mixed-model assembly line and then makes the bottom-up hierarchical modeling, avoiding the complexity problem of traditional Petri net modeling. Such a model always possesses Agent's autonomy and intelligence while the knowledge place could resolve conflicts and deadlock problems in models.
Design of Omnidirectional Vibration Sensor
Authors: Li Jian , Chen Xian Hui , Han Yan
Published: March 2013

This paper introduces the omnidirectional vibration sensor based on MEMS three accelerometer, which is used to solve the problem that the tradition vibration sensor cannot acquire multidimensional vibration signal effectively, on the background of underground distributed passive localization.It has MEMS accelerometer as the core detection unit, including three dimensional vibration detection unit, signal conditioning unit and power supply unit. It adopts the spherical shape ,which consists of Aluminum shell、Potting material of Epoxy resin and Multilayer circuit board. By means of finite element analysis and Field test, it shows that this sensor can effectively get omnidirectional vibration signal vector information, and the engineering application value is great.
Regularized Common Spatial Pattern with Incomplete Generic Learning for EEG Classification in Small Sample Setting
Authors: Zhu Hao , Wei Qing Guo
Published: March 2013

Common spatial pattern (CSP) is based on sample covariance matrix estimation, whose estimation accuracy is severely overfit with small training sets. To address the drawback, the regularized CSP (R-CSP) was proposed that adds regularization information into the CSP learning process. In the algorithm, all samples of each generic subject were used for training sample covariance matrices. When only a part of the samples of each generic subject are allowed as generic training set, this R-CSP algorithm wouldn’t work. To solve this problem, an improved method is proposed in this paper. The new algorithm was applied to a brain-computer interface (BCI) data set containing five subjects and a mean improvement of 2.5% in classification rate was achieved.
Multi-Feature Extraction and Fusion for the Underwater Moving Targets Classification
Authors: Yang Juan , Xu Feng , Wei Zhi Heng , Liu Jia , An Xu Dong
Published: March 2013

The underwater moving targets classfication are important for the underwater surveillance system.This paper presents the classification algrithms based on the multi-feature fusion, including the target echo highlight features,temporal features from the assocition images interframe,and the moving features after tracking.The principal compoment analysis was used to reduce the feature dimension and the k-means algorithm was used for classification. At last,the experiment results of the classification between the divers and underwater vehicles are given, which show that the multifeature fusion can improve the classification performance.And the PCA algorithm can reduce the feature dimension without lower the identification probability.
Research on Assessment Method for Credit Risk in Commercial Banks of China Based on Data Mining
Authors: Li Wen Juan , Wang Shi Min
Published: March 2013

Due to the huge loss to the bank caused by credit risk in the financial debt crisis of the international Banking industry in 1980s, the research on Credit Assessment Methods is becoming the central issue of the study of financial theory in China and abroad. This paper builded the assets financial evaluation system of credit risk level based on the association rules-Apriori algorithm of data mining technology, which aimed the problems and the serious shortage of risk quantification study in domestic banks credit risk management. At the same time, taking into account the actual situation of our country, this paper analyzed that there are certain difficulties to use modern credit risk measurement models to evaluation the credit risk of commercial banks. And it suggests building a credit portfolio risk measurement model suitable for China's commercial banks with using logistic regression model of data mining technology.
Design of SAW Specific Gas Sensor with High Sensitivity
Authors: Ma Jin Yi , Yang Jing , Du Bo , Wang Lu , Jiang Hong Min , He Jie
Published: March 2013

To improve the temperature stability, response speed and sensitivity of surface acoustic wave (SAW) gas sensor, the relationship between the sensing region of the resonator for SAW gas sensor and the sensitivity of sensor is studied, a specific resonator with big space topology structure is proposed. A SAW resonator with high temperature stability is investigated from the viewpoint of piezoelectric material, cut type and fabrication process. A nano-wire bundle based SAW gas sensor with big specific-surface-area is proposed.
Investigation of Emergency Resources Models Based on Ontology
Authors: Zhu Dong Qin , Liu Yan , Li Zhi Gang
Published: March 2013

Emergency Resources Management System is an important part of emergency management system. There are many classification systems of emergency resources, which lead to inaccurate description of the structure of emergency resources and negative impacts of the emergency resources sharing and configuration scheduling. In this paper, we compared the strengths and weaknesses of existed emergency resources classification systems, constructed a emergency resources classification system suitable for the whole process of emergency rescue, built an upper emergency resource and domain ontology model rested on SUMO ontology, formally described the concepts in the field of emergency resources and the relationships between these concepts, and satisfied the emergency resources demand of quickly crisis dealing.
Research of Knowledge - Affection Interaction Mechanism Based on Comprehensive Cognition Emotional Theory
Authors: Jiang Pu
Published: March 2013

This paper absorbed research fruits of comprehensive information, emotional motive - information and three-dimensional PAD emotion theory, defined the main body of the priori knowledge and affection, and posteriori knowledge and affection, obtained knowledge and affections and expectation knowledge and affection, analyzed cognitive mechanism of knowledge, formation mechanism of affection, proposed knowledge-affection interaction mechanism model, deduced the principle of knowledge-affection interaction mechanism (that is, the first and second law), unveiled the human’s rich and complex knowledge-affection interaction and the emotion changing laws. Comprehensive cognitive emotional theory is a new doctrine of cognition - emotion interaction mechanism.
A Sensation Model for Color Images’ Cognition
Authors: Li Zhong Sheng , Huang Tong Cheng , Li Niu , Cai Ze Su
Published: March 2013

It’s a new idea to make computers be able to obtain “sensations” from a color image through some unsupervised ways. To let the idea come into true, a granule-based model, based on granular computing(GrC) which is a new way to simulate human thinking to help solve complicated problems in the field of computational intelligence, is proposed for color image processing. First, this paper deems data a hypercube, defines two new concepts, attribute granules(AtG) and connected granules(CoG), and presents the definitions of the granule-based model. Then, in order to fulfill the granule-based model, this paper designs a single attribute analyser(SAA), defines some theorems and lemmas related to decomposition, and describes the processing of extracting all attibute granules. Experimental results on over 300 color images show that the proposed analyser is accurate, robust, high-speed, and able to provide computers with “sensations”.
The Algorithm of Abstract Extraction Based on Semantics
Authors: Bao Xi Lin , Guo Chen , Ye Yan , Yao Qian , Wu Min
Published: March 2013

When data mining involves document processing, extracting abstract information from the content of documents has become an essential procedure. The core idea of the algorithms of abstract extraction represented by Luhn is extracting the abstract merely from the sentences which contain frequent words in the essay. However, these algorithms fail to extract from the full text in a deeper semantic level. Therefore, the accuracy of the traditional abstract extraction algorithm needs to be enhanced. In order to improve the accuracy, we propose a method which can improve the performance of the algorithm of candidate key words extraction by using the substitute words and considering the semantic meanings of the candidate key words.
The Reasoning and Application Model for Topological Relations between a Concave Region and a Simple Broad Boundary Region
Authors: Liu Xu Dong , Wang Wei
Published: March 2013

According to the nature of 16 - the intersection model and the constraints of the broad boundary region, get 67 topological relations that can be realized between a concave region and a simple broad boundary region. We realize the reasoning of topological relations between a concave region and a simple broad boundary region, and establish topology model of typhoon rainfall warning, and provide reference for expand of the related topology model applications.
BP Neural Network Research Based on Three Convergence Improved LM Algorithm
Authors: Guo Xiu Cai , Shang Sai Hua
Published: March 2013

In order to solve the practical application problem, which traditional neural network takes too long and compute complexly, on the basis of the LM algorithm, combined with mathematical optimization theory, identify the three convergence Improved LM algorithm applied to BP neural network , that improved LMBP algorithm. Simulation results show that the improved LMBP algorithm in convergence time and goodness of fit both have better results, and the algorithm is general and can be produced by obtaining national sample of various scenarios, using the algorithm to predict, to better guidance on production.
A Smart Home Architecture Based on Concept Ontology
Authors: Hu Man Dong , Wei Zhi Qiang , Cong Yan Ping
Published: March 2013

The idea of smart home has been proposed for many years. However, the heterogeneity of device and data restricts the spread of it. Otherwise, the lack of underlying formal semantics between devices impedes the reusing and sharing classification across systems. We present a concept ontology in smart home which can capture the features of domain knowledge. A system architecture of smart home based on the concept ontology is constructed.
Multi-Feature Bio-Inspired Model for Scene Classification
Authors: Hu De Kun , Lin Jie
Published: March 2013

A multi-feature bio-inspired model for scene image classification (MFBIM) is presented in this work; it extends the hierarchical feedforward model of the visual cortex. Firstly, each of three paths of classification uses each image property (i.e. shape, edge or color based features) independently. Then, BPNN assigns the category of an image based on the previous outputs. Experiments show that the model boosts the classification accuracy over the shape based model. Meanwhile, the proposed approach achieves a high accuracy comparable to other reported methods on publicly available color image dataset.
Weight Calculation Based Image Recognition
Authors: Yuan Yi Fan , Du Jun Ping , Zhou Jun , Lu Cheng , Bai Er Wei , Li Ya Wen
Published: March 2013

The method to recognize facial expression in images quickly has been widely applied in many areas, but there is no way to take into account the accuracy and speed of recognition. This paper presents a method based on the weight calculation for fast expression recognition. It first calculates facial features based on active shape model, and then matches the features to the standard expression vector got by large number of image training and recognizes the expression in the static image. The experiments show that the system can provide fast, universal expression recognizing function under the premise of guaranteeing an ideal accuracy.
Cotton and Bast Fiber Image Segmentation Based on Mathematical Morphology
Authors: Zhang Ying , Zhou Sheng Fei , Lin Zu Zheng
Published: March 2013

Traditional cotton and bast fiber detection using artificial methods. Image processing techniques have been applied to the fiber detection and improve the automation and recognition efficiency of the detection. Image segmentation is the basic one of the steps for fiber identification. This paper using gradient edge detection method to segment the cotton and bast fiber longitudinal morphological image, and using morphological reconstruction operation method to the cross sectional fiber image. Both two kinds of images can be segmented by mathematical morphology method.
Linear Calibration of Oxygen Detection in Coal Mine Explosion Monitoring
Authors: Lu Ming , Liu Jun Jie , Han Xiao Zheng
Published: March 2013

Mine fire occurrence, continues to be one of the most enduring problems faced by the mining industry. The purpose of this study is to assess strategies for detecting the most important ingredient in the coal mine gas explosion-proof monitoring-oxygen content, so as to make the best foresee and prediction to the mine fire. The oxygen concentration within atmosphere located in the area of the seal gas explosion hazard safety zone should be less than 8%. In accordance with the national standard, the mine requires oxygen detection accuracy of 1%. The performances of an oxygen content monitoring system is influenced by such four elements as gas line, sensor, signal conditioning and processing as well as terminal handling system, etc.. In this work, through the use of computer-controlled technology, the oxygen content monitoring system was first made a linear open-loop calibration based on hardware, then made a linear closed loop calibration based on software programming, and at last, the famous OriginPRO data analysis system was used to analyze and interpret the sampling data, a programmed planning and real-time information correction of linear closed-loop calibration based on software was achieved, so that an oxygen content monitoring sensitivity limit of less than 0.36% was obtained in the system.
Research on Methods to Improve Parallel Coordinates Visualization
Authors: Wang Han , Song Zhi Jie , Jing Kun Peng , Zhang Ling
Published: March 2013

In parallel coordinate plots, the density could not be represented where the polylines were over intensive. Based on the problem, the aggregation degree conception was proposed. The three-dimension parallel coordinate system with the aggregation degree axis was built, and the mapping from aggregation degree to gray degree value was built. The three-dimension polylines with gray color were projected onto the original two-dimension plane, and the two-dimension parallel coordinate plots with the aggregation degree information were acquired. The results show that they are effective in representing the density change of polylines on parallel coordinate plots.
A Fast Acquisition System for Large-Scale Optical Microscopic Integrated Circuit Chip Images Based on Thin Plate Spline
Authors: Zhang Xu , Chen Xi , Wei Li Xin , Ma Hong Tu , Han Hua
Published: March 2013

When large-scale images acquisition conducted on an Integrated Circuit (IC) chip by using an optical microscope, multi-layer routing structure and transparent inter-layer dielectric of IC chips can interfere with auto-focusing of an optical microscope, which significantly increases the images’ acquisition time. To solve the forementioned problems, a fast acquisition system is proposed based on surface fitting. First of all, we obtain focus plane height of multiple scattered points through pre-acquisition. Then, the surface fitting method, with Thin Plate Spline (TPS) model is applied, to get the height of the rest points. Thus the system can acquire correct surface-layer images of an IC chip without background interference. The experimental results suggest that the proposed technology is highly superior to manual acquisition system and auto-focusing based acquisition system in acquisition accuracy and speed, and it also decreases the amount of manual workload by 70%-80%.
A Novel Two-Degrees-of-Freedom Voice Coil Motor and its PID Controllers for Linear and Rotary Motions
Authors: Jia Xi Qing , Liu Shou Bin
Published: March 2013

A two-degrees-of-freedom voice coil motor and its control system are proposed for linear and rotary motions with high speed. This VCM consists of two individual motion parts driven by two separated DSP embedded controllers. For servo control of the VCM, an improved PID control algorithm is adopted. The performance of the control algorithm is evaluated under actual environment. When the targets of position and angle are set at 5mm and 15°, the time response shows 48ms and 70.4ms settling time with 5μm and 3’ steady state error without overshoot. Settling time is reduced to 36% as compared to that of original PID controller.
Design and Analysis of a Parallel Robot with Flexure Hinges for Target Alignment System
Authors: Liang Lu , Zhang Yan An , Shen Lin Yong , Qian Jin Wu
Published: March 2013

In this paper we present a parallel robot with flexure hinges for target alignment system of a high power laser facility. The robot contains a parallel mechanism with 6 DOF which has nanometer positioning accuracy and is driven by six linear actuators. We design a new flexure hinge which has higher accuracy, strong environmental suitability and simple structure compared with conventional flexure hinge which has backlash and friction issues. The kinematics analysis of the parallel mechanism is also discussed. The simulation analysis of the mechanism is done by ADAMS. The mechanism is proved meeting the design requirements by comparing the results of the theory analysis and the simulations.
System Design of Crane Robot Based on Binocular Stereo Vision
Authors: Chen Zhi Kun , Wang Hong Yan , Wang Wen Hui , Wang Fu Bin
Published: March 2013

In order to improve the safety, high efficiency and stability in the process of the crane hoisting, this paper applied binocular stereo vision technology which has developed into a rather mature stage recently. Binocular stereo vision system could efficiently identify and accurately position various targets, so that it could decrease the crane driver’s working intensity, reduce security risks and improve the production efficiency. In order to experiments was convenient, developing the crane robot system could simulate the processes of crane work, establishing the relevant system structure model for the motion. According to the three-dimensional measuring principle of binocular stereo vision, this paper is proposed to identify and position for the targets, and experimental results show the error is ±10mm.
Self-Protection System of Robot Based on Multi-Sensors
Authors: Gao Qiu Hong
Published: March 2013

This paper presented a kind of robot self-protection system which was a combination of photoelectric sensor and ultrasonic sensor. In this study, signals were gathered by using the complement of ranging of photoelectric sensor and ultrasonic sensor. Then the signals were sent to MCU to achieve multi-sensors information fusion.With such function, an accurate robot self-protection command was made as to avoid obstacles, to judge narrow highland and to prevent dropping. The experiment results validate its good self-protection function.
Study on Reliability of Slanted Micro-Cantilever under Shock Stress
Authors: Tao Jun Yong , Liu Bin , Li Xiao Tao , Zhang Yu Nan
Published: March 2013

The reliability of MEMS has been a key issue for its application. Micro-cantilever is a basic structure of MEMS, which has a notable influence on its reliability. Basing on quasi-static theory, the response characteristic of the slanted Micro-cantilever under shock load is studied. Assume that the slanted micro-cantilever is a cantilever-mass system, whose maximal displacement and stress has been analyzed. Furthermore, the correction of theoretical analysis is validated by ANSYS simulation. Finally, experiments are carried out to validate the cantilever’s characteristic of shock response. The results can be used to guide the failure modes analysis of MEMS, and provide rules for MEMS reliability design.
Dynamic Mechanical Model of Surface-Bonded PZT Actuator: Theory and Experiment
Authors: Yan Shi , Zhao Nai Zhi , Wang Qiu Jing , Song Gang Bing
Published: March 2013

A dynamic mechanical model for actuating performance of piezoelectric material bonded on the surface of structures was established based on the second class of piezoelectric equation and continuum dynamics. Piezoelectric patches such as lead zironate titanate (PZT) to be used as an actuator were pasted on the surface of structures by bonding layers. An electrically and mechanically coupled model based on the piezoelectric equation and Newton's second law was set up and the dynamic equations of the coupled system were theoretically solved under the harmonic effect of the alternating voltage. Moreover, the effect of physical properties and the layer thickness of the PZT actuator were determined. The theoretical and experimental results showed that the proposed model was reasonable and precise to a certain extent.
Analysis of Ankle Trajectory Parameters of Rehabilitation Training on Level Walking
Authors: Zhang Ya Nan , Wu Yong Qiang , Shen Lin Yong , Qian Jin Wu , Wang Ya Yun
Published: March 2013

Walking rehabilitation training robot generally divided into exoskeleton rehabilitation robot and foot board rehabilitation robot. The purpose of this study is to develop a 6-DOF foot board rehabilitation robot, measurement and analysis the motion parameters of ankle for people walking on the treadmill. This paper introduces the basic method of get ankle motion data based on the NDI motion capture instrument, and screening and fitting for the measurement data, after these processes, then can get the motion law of ankle when people walking on the treadmill. The results are very helpful for the design of foot board rehabilitation robot device and the formulation of control strategy.
Drilling Force Control for Robot Manipulator with Combined Rigid and Soft Surface
Authors: Taha Zahari , Deboucha Abdelhakim , Kinsheel Azeddein
Published: March 2013

This paper presents an efficient force position control scheme for high precision drilling on soft surfaces using industrial robot. The control problem is divided into two parts; the gross motion control problem and the drilling control problem. In the gross motion stage the robot motion is controlled using computed torque technique. The drilling process is controlled using hybrid force position control that maintains the desired force and trajectory profiles. The soft surface is represented by single degree of freedom mass-spring-damper system. The performance of the system is tested using 6-dof PUMA 560 robot model.
Multi-Channel Pipetting System for Automatic ELISA Instrument
Authors: Na Yun Xiao , Zhu Lian Qing , Guo Yang Kuan
Published: March 2013

In the Enzyme-Linked ImmunoSorbent Assay(ELISA) test, automatic pipetting for liquid samples is key factor to improve test efficiency and quality. In this paper, a multi-channel pipetting system used to perform pipetting and incubation automatically is constructed, which is equipped with three-dimensional motion platform and four pipetting channel. The system contains electronic control system based on DSP, which communicates with ELISA host software by USB. The experiment demonstrates the effectiveness of this multi-channel pipetting system.
Adaptive Neural-Network Control of Mobile Robot Formations Including Actuator Dynamics
Authors: Li Yan Dong , Zhu Ling , Sun Ming
Published: March 2013

For the formation control problem of multiple nonholonomic mobile robots with actuator and formation dynamics, this paper propsed a new control strategy that integrated kinematic controller with input voltages controller of actuator. This control law was designed by backstepping technique based on formation control structure of leader-follower. The RBFNN was adopted to achieve on-line estimation for the dynamics nonlinear uncertain part for follower and leader robots. The adaptive robust controller was adopted to compensate modeling errors of neural network. This strategy not only solved the problem of parameters and non-parameter uncertainties of mobile robots, but also ensured the desired trajectory tracking of robot formation in the case of maintaining formation. The stability and convergence of the control system were proved by using the Lyapunov theory. The simulation results showed the effectiveness of this proposed method.
Knowledge Interchange in Task-Oriented Architecture: For Space Robot Application
Authors: Cen Yu , Zhou Wei Jia
Published: March 2013

Behaviors of multi-robot system based on task-oriented architecture are intuitional according to the flow of task processing that is obvious to plan and monitor. This paper tables a novel task-oriented architecture for space robot application, which consists of task description, task completion analysis, task compromise. For this architecture, author designed a knowledge interchange mechanism base on KIF (Knowledge Interchange Format) and OKBC (Open Knowledge Base Connectivity). Using this knowledge interchange mechanism, knowledge bases designed by different languages comprehend information transmitted form each other.