bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Crankcase Ventilation System of Gasoline Engine
Authors: Hu Ming Jiang
Published: June 2011

Based on the design goals of the gasoline engine crankcase ventilation system, the features and the layout were described on the gasoline engine crankcase ventilation system, the working model was established on the gasoline engine crankcase ventilation system; using the fluid properties and the mathematical calculation method, the optimizing strategy was proposed on the piston gas leakage, the influencing factors were analyzed on the gasoline engine crankcase vacuum, the design strategy of the flow characteristics was developed on the PCV valve. Using analog control test platform of the gasoline engine, the tests were made on the piston gas leakage, the crankcase vacuum and PCV valve flow characteristics of the gasoline engine crankcase ventilation system. The test result showed that the optimized maximum piston leakage flow was 14L/min; the increasing rates of the optimized intake pipe and crankcase vacuum average were according 5.6% and 8.0%. This could indicate that the working model on the gasoline engine crankcase ventilation system was correct; the proposed strategies on the piston gas leakage, the crankcase vacuum and PCV valve flow characteristics were feasible in the gasoline engine crankcase ventilation system.
The Research and Design of Student Psychology Predicting System Based on Spatio-Temporal Database
Authors: Liu Yu Lu , Xiong Jiang , Zhao Yong Jian
Published: June 2011

In colleges and universities, as amount of students has become more and more and their psychology have also become more and more complicate, additionally, psychological consultation work is also very finite. Though higher education administrators have already adopted some efficient artificial monitor to manage their students, the structural contradictions of student management have become more and more obvious than before. In order to deal with complex, covert and exceeding spatio-temporal psychology of these students, we should urgently use an advanced technology to design a kind of student psychology predicting system based on spatio-temporal database. Via the system the educational management can mainly supervise and actively prevent instead of dealing with accident passively. According to the practical requirements of educational management, firstly, the system creates students’ spatial trip information database, which mainly includes students’ spatial location, behavior, psychological dynamic and time. And then it uses association analysis technology to extract their relationship among student’s spatial location, behavior, psychological dynamic and time. Finally, the system will provide predicating association rules for higher education administrator. Via these rules education administrator will draw up some measures to supervise students’ psychological dynamic and actively prevent violent and passive behavior.
Research and Implementation on Multi-Core Processor Task Scheduling Algorithm
Authors: Zhao Fu , Zhang Yong Ping
Published: June 2011

This paper firstly proposes one of the problems software applications faced by in the era of multi-core CPU: task decomposition and scheduling, and then analyzes a current scheduling algorithm together with its shortcomings. On the basis, an optimized algorithm is given. The optimized algorithm reduces the error and improves the accuracy. It is easier to achieve the calculation load balance of multi-core CPU. Finally, a multi-core platform is build using Simics system simulator, and the optimized algorithm is tested on this platform. Experimental data proves the superiority of the algorithm.
Noise Classification Based on GMM and AANN
Authors: Zhang Yan , Chen Cun Bao , Zhao Li
Published: June 2011

In this paper, Gaussian Mixture model (GMM) as specific method is applied to noise classification. On this basis, a modified Gaussian Mixture Model with an embedded Auto-Associate Neural Network (AANN) is proposed. It integrates the merits of GMM and AANN. We train GMM and AANN as a whole and they are trained by means of Maximum Likelihood (ML). In the process of training, the parameter of GMM and AANN are updated alternately. AANN reshapes the distribution of the data and improves the similarity of the feature data in the same distribution type of noise. Experiments show that the GMM with embedded AANN improves accuracy rate of noise classification against baseline GMM.
Testing of Fabric Dynamic Moisture Transfer Based on Munsell Color HV/C Value
Authors: Wu Xuan Run , Cao Jian Da , Chen Yan
Published: June 2011

Based on munsell color HV/C value to test dynamic surface wetness of fabrics can be seen more intuitive to the dynamic permeability characteristics of fabrics. This paper selects 44 kinds of knitted fabrics to do the experiment with the of sweat simulation device, and get the complete label HV/C of Munsell color space of fabrics and moisture content of fabric from 0 to 30 minutes, and analyze their relational with the method of the grey relational analysis. The results show that in the 44 kinds of testing varieties, they are 20 kinds of samples having the maximum correlation coefficient between Munsell color index and moisture content ,and 21 kinds of samples having maximum correlation coefficient between Munsell color value and moisture content , we can see that their proportion is close , so by existing methods only using Munsell color index evaluating dynamic moisture transfer properties of fabrics had omitted the information of Munsell color value and Munsell color chroma, therefore it is necessary comprehensive considering the Munsell color HV/C value of the complete label information ,and establish a composite indicator of evaluation dynamic surface moisture transfer.
Adaptive Fuzzy Immune PID Control for Multi-Joint Robots
Authors: Zhu De Quan , Cao Cheng Mao , Sun Lei , Zhu Mei
Published: June 2011

To improve the control precision of multi-joint robots, a adaptive fuzzy immune PID control method for multi-joint robots was presented based on the immune feedback mechanism and fuzzy control theory, and the parameters of PID controller was optimized with hybrid algorithm. First, least square algorithm was used for off-line optimization to form immune feedback control system. Then, genetic algorithm was used for on-line optimization to get the optimal performance parameters of immune PID control system and the optimal fuzzy proportional parameters. Simulation results of a 2-joint robot manipulator demonstrated that the control method designed gets tracking effect with high precision and speed.
Closed Salient Edge Extraction Based on Visual Attention Mechanism
Authors: He Dong Jian , Liu Rui Shu , Song Huai Bo
Published: June 2011

Edge detection is a means of generating compact descriptions which preserve most of the structural information in an image. However, the edge image returned by the edge operators usually contains false edge points or exhibits gaps in edges which are generated by image noise. To solve the problem, a closed salient edge extraction approach was proposed, which makes use of the visual attention model given out by Itti together with the original edge image to obtain the salient edges and then the salient-edge gaps were linked so that the closed salient edge of an image can be extracted. In order to link the edges, a membership function based on the gradient and directions of endpoints of the salient edge image was carried out to control the extension of endpoints. Experimental results showed that the proposed algorithm was able to extract the closed salient edge of an image effectively especially for the image whose background was not very complex.
A New Cross-Correlation Based Image Registration Method
Authors: Fan Shu Kai S. , Chuang Yu Chiang , Wu Jia Rong
Published: June 2011

Image registration is a fundamental task for combining two or more images taken from different viewpoints, different times, or different sensors. It is a process of determining the point by point correspondence between two images from the same scene. The proposed image registration method uses the area-based approach to process image registration and the objective is to find the maximum similarity through the cross-correlation measure. Most cross-correlation methods are developed based on image intensities for the direct matching purpose. However, it is extremely sensitive to the intensity changes. To counteract illumination effect, the proposed method replaces the intensity with the gradient information, and this concept comes originally from the Hough transform that points having the same parameters and should be on the same line. These two parameters are combined as the similarity between images for image registration. The experimental results obtained by means of several test images illustrate the effectiveness of the proposed image registration method.
Thermal Deformation Analysis for the Guideway of Large-Type CNC Lathe Based on Finite Element Method
Authors: Zhang Feng Shou , Wang Don Gyan , Liu Jian Ting , Cui Feng Kui
Published: June 2011

Friction between the guideway and the bench of large-type CNC lathe will cause thermal deformation of the guideway, which causes processing error of the lathe，thereby reduces machining precision of the workpiece. The authors establish the mathematical model of temperature field and thermal deformation of the guideway in the work process, numerically simulate the guideway thermal characteristics by ANSYS finite element analysis software, and obtain the distribution regularities of temperature field and thermal deformation and their major influencing factors, which provide a theoretical basis for optimizing design and thermal error compensation design of the lathe guideway.
An Image Registration Method Based upon Information Theorem on Overlapped Region
Authors: Chuang Yu Chiang , Fan Shu Kai S.
Published: June 2011

Digital image and video have been widely applied to many practical applications due to their simple image acquirement. Image registration is an important image processing for integrating information from images. For Image registration, it is intuitive to orientate images by matching corresponding pixels being considered idealistically identical on the overlapping region. Based on this idea, this article proposes an image registration method that applies the information theorem to the corresponding intensity data. An entropy-based objective function is developed upon the histogram of the intensity differences as to evaluate the similarity between images. Intensity differences represent the differences of the corresponding pixels between the referenced and sensed images on the overlapped region. The sensed image is aligned to the referenced image by minimizing the proposed objective function through iteratively updating the parameters of the projective transformation during the optimization process. The experimental results obtained by means of several test image sets illustrate the effectiveness and feasibility of the proposed image registration method.
Study on Airborne Single Passive Location Technology
Authors: Li Ting Jun , Zhou Wen Song , Zhu Ai Hong , Che Zhi Yu , Song Zhen Yu
Published: June 2011

The airborne passive location has the characteristics of good mobility and scope range is wide. The location accuracy of traditional angle-measure only passive location is low and the location time is long. Passive location that use phase change rate as observation information can overcome these shortcomings noticed above. Research the process of filtering principle of MVEKF algorithm and its application in airborne single passive location. Come up with the principle of phase change rate location method, and from simulation results, using MVEKF algorithm in airborne single passive location can reach the result that positioning precisely and convergence rapidly.
Positional Uncertainty Estimation and Visualization of a Triangular Tessellation
Authors: Cai Jian Hong , Li De Ren , Zhu Dao Lin
Published: June 2011

A triangulated irregularly network (TIN) is always used to describe the land surface in a geographic information system (GIS), while the land surface abstracted and simplified has modeling errors inevitably, which play an important role in uncertainty estimation, while are ignored in the GIS literature. In this paper, we consider modeling errors and use error promulgation law to estimate positional uncertainty of a triangular tessellation. It indicates the difference between complex entities in the real world and geographic objects simplified in a digital world, and it makes uncertainty complete and credible.
Stochastic Optimization of Inventory Control
Authors: Ouyang Xiao Xun
Published: June 2011

In this paper, we focus on the interaction between inventory investment and market demand, and consequent effect on discount profit when stochastic disturbance is introduced into the system. To this end, we set up optimal decision-making models on inventory cross-time management , in which inventory is considered as firms investment and Market demand follows SDE , as well as inventory investment. Helpful results and three propositions are obtained.
Residual Wavelet-Domain DVC Using an Optimized TCQ
Authors: Wang An Hong , Zheng Yi , Li Zhi Hong , Wang Yu Yang
Published: June 2011

Nowadays, the rate-distortion performance of distributed video coding (DVC) is not satisfied despite its distinct contribution to low-complexity encoding. This paper presents a new residual DVC using an optimized trellis coded quantization (TCQ) to improve the performance of the current schemes. H.264/AVC intra-frame coding is firstly used to obtain the referenced frame, and then the residual between Wyner-Ziv frame and the referenced frame is Wyner-Ziv encoded with a proposed optimized TCQ which consists of the improved quadtree and the improved TCQ, both considering the characters of wavelet coefficients in different sub-bands. Experimental results show that the proposed scheme outperforms the referenced in rate-distortion performance, and the goal of low-complexity encoding is achieved.
Technological Optimization of Making Cherry Tonic Wine Based on the Modeling Method of Neural Network
Authors: Sun Zu Li , Guo Ming En , Wang Lian Sheng , Wang Jie , Li Ting Jun
Published: June 2011

In this paper, the author put forward a method of making Cherry tonic wine, which is made from cherry and aromatic plants such as safflower, baizhi, etc. The data of fermentative technological process were obtained by using orthogonal experiments. On the basis of these data, the author of this article use the way of Artificial Neural Networks (ANN) processing the data to establish a model of technological factors in fermentation and with the help of this model, which simulates, evaluates and optimizes, we conclude that the best fermentative factors are as follows :fermentation temperature is 20±2°C, the amounts of glucose, acidity and liquid with aromatic plants are 11±1%,0.7±0.1% and 0.2%.
Enhanced Approaches for Processing Window Queries in Dynamic Wireless Sensor Networks
Authors: Liu Ning Han , Hsu Hsiang Ming , Huang Tien Cheng
Published: June 2011

Due to the proliferation of low cost wireless sensors, there is growing research interest in their applications, for example, in home healthcare and location tracking. However, due to sensors’ energy resource constraint, some possible applications of sensors have been restricted. In particular, in applications concerning deployment of mobile sensors in dynamic environments, high amounts of energy are consumed by sensors to maintain routing tables. Although existing methods have been proposed to query data from sensors without the use of any routing tables, these methods typically require redundant data to be sent back to the sink and not all of the aggregation functions could be executed precisely. In this paper, we modify an existing method to provide more accurate query answers and extend the lifetime of a wireless sensor network (WSN). According to our simulation, this method outperforms the existing method our approach modifies.
Research on Serial Communication Technology Based on Virtools
Authors: Shen Hong Bin , Wu Pan Pan
Published: June 2011

In order to solve the problem of interactive communication between virtual reality development platform Virtools and serial port peripherals, the software development framework of Virtools, modular development technology and serial communication technology based on Windows were studied. A serial communication modular was developed that extended the development of Virtools in serial data communication. Finally, the availability of the modular was tested with the serial testing tools.
Research on Airport Aviation Safety Information System
Authors: Chen Yan , Zhang Shu Dong
Published: June 2011

Aviation safety information is the foundation of implementing safety operation, risk control, safety performance monitor, safety decision to the airport. This paper firstly expounds the background and significance to the system; then it analyzes the present research situation at home and abroad and discusses the whole system processing flow; finally it puts forward the system architecture and primary function design. The system construction is helpful to improving the scientificity and systematicity of airport safety management, perfecting the long effect mechanism which driven by safety information and taken risk management as core, continually increasing airport safety management level.
Cathexis Emotion-Modelling Merging with Personality
Authors: Hu Dan Dan , Yin Xiao Hui , Xu Ping
Published: June 2011

The way of Cathexis emotion model merging with personality is studied. The classic model is a model about mixed emotion synthesis, but personality isn’t included in the model. Personality and emotion space is described. The mapping between them is established via the PAD space, and the emotion model is proposed, which can accord with the human affection active role. The mapping between basic emotion and actions is also established to make new behaviors. So this theory lays a foundation for service robot working in public such as Terminal. The experiment results show that the model can remarkably reflect both the human emotion change process and how different personalities affect emotion. The interaction among emotions can also be shown by the experiment.
Vehicle Geometric Parameters Measurement Based on Image Processing
Authors: Wang Zhi Hua , Jiang Yu’e , Zhao Zhao , Zheng Li
Published: June 2011

This paper proposes a new method for measuring vehicle geometric parameters, which is based on image processing. In the method, a black and white bar-cord ruler is applied to calculate the vehicle dimensions. Canny edge detection algorithm and image mosaic algorithm based on Image-Based Rendering (IBR) technique are utilized to deal with the target images. According to the relationship between the vehicle and the bar-cord ruler in the target images, the geometric parameters of the vehicle can be measured. Furthermore, the experiments indicate that the method has a good performance in measuring the dimensions of a vehicle.
Abnormal Motion Detection for Intelligent Video Surveillance
Authors: Huan Ruo Hong , Tang Xiao Mei , Wang Zhe Hu , Chen Qing Zhang
Published: June 2011

A method of abnormal motion detection for intelligent video surveillance is presented, which includes object intrusion detection, object overlong stay detection and object overpopulation detection. Background subtraction algorithm is used to detect moving objects in video streams. Kalman filter is applied for object tracking. By the construction of relation matrix, the tracking process is divided into five statuses for prediction and estimation, which are object disappearing, object separating, new object appearing, object sheltering and object matching. The object parameters and predictive information in the next frame which is used to track moving objects is established by Kalman filter. Then, three types of abnormal motion detection are implemented. The relative position of alarm area or guard line with the rectangle boxes of the moving objects is used to detect whether the object is invading. The existing time of the moving objects in monitor area is counted to detect whether the object is staying too long. Moving objects in the monitor area are classified and counted to detect whether the objects are too much. Alarm will be triggered when abnormal motion detection as defined is detected in the monitor area.
A Face Recognition System Based on ASM Facial Components
Authors: Hsieh Chen Chiung , Chen Wei Hsu
Published: June 2011

This paper proposed five new types of facial features for face recognition. Ada-boost is used to detect face firstly. False detected faces are removed by dynamic background modeling and skin color detection. Skewed face is also calibrated to achieve higher accuracy. Based on Active Shape Modeling, the five new types of facial features including gradient histograms of facial components, vertical/horizontal projection of facial edge points, signature of facial components, multiple vertical/horizontal line segments within facial shape, and face template could be extracted. According to the classification capability, features are associated with different weights while during matching. Nearest neighbor classifier is deployed for face recognition by using the averaged of feature points of a person as the center. The size of database is 200 people which are selected from the face databases of MIT and ESSEX. Five images per person were used for training and 491 images were tested. The recognition rate was 98.3% and the processing speed reached 220ms per frame on a general personal computer.
Research and Development on Safety Monitoring Network System for Electric Locomotive Servicing Work
Authors: Meng Jian Jun , Xu Ru Xun , Zhang Can Can , Gu Jian Kai
Published: June 2011

A safety network system is designed based on PROFIBUS-DP field bus, according to actual servicing work situation and control requirements for electric locomotive servicing work. The system realizes communication between first class master station and third equipment through using PROFIBUS-DP bus protocol. It also realizes interactive operation between slave station and non-contact IC card, meanwhile, slave station and MCU system. In addition, this article has analyzed the multi-task scheduling mechanism and data communication security on monitoring network system in detail as well. Results show that the system has higher application value through entire debugging and testing on network control system.
A New TCP Specialized for Data Center
Authors: Zhao Yong Xiang , Hu Qian , Chen Chang Jia
Published: June 2011

Data center has become a major infrastructure of Internet application in recent years. Tradition TCP is not suitable to carry the traffic in data center and has hampered the performance of application running in the data center. This has spurred a lot of research works on the transport specialized for data center networks. In this paper, we propose a new transport protocol specialized for traffic pattern in data center.
The Research of Non-Uniformity Correction of Infrared Image in Thermal Wave Testing Based on Homomorphism Technology
Authors: Song Yuan Jia , Zhang Wei , Yang Zheng Wei , Jin Guo Feng
Published: June 2011

The infrared thermal wave technology is a new nondestructive testing (NDT) method with a kind of advantage, including non-contact, intuitionistic, fast et al. But the infrared images always have defects that the low-contrast and high-noise due to uneven brightness and calefaction in the testing process, which enhance the difficulty of following quantitative distinguishment of defects. Therefore, the improved homomorphic filtering is given in this article. The detailed processes of the method and testing results are given. The results of the experiments show that the method has higher peak signal to noise ratio (PSNR), can improve image quality, which establish basis for future research of image segmentation.
Driving and Power Units Design on Hydraulic Stewart Platform
Authors: Qu Zhi Yong , Ye Zheng Mao
Published: June 2011

Stewart platforms have recently attracted attention as simulator and machine tools because of their conceptual potentials in high motion dynamics and accuracy combined with high structural rigidity due to their closed kinematic loop. Dynamics design of Stewart platform based on Newton-Euler is presented in this paper firstly. Its aim is to compute the velocity and acceleration according to the index given. Meanwhile, the matching rule is put forward in the design of hydraulic power unit, which requires the power capacity of driving units surround the edge of payload. Based on these principles, optimal driving can be obtained practically. This paper, composed of driving units design and optimization, attempts to ground the foundation on dynamics design and choice in the future.
Optimal Joint Space Control Design of a Hydraulic Stewart Manipulator
Authors: Qu Zhi Yong , Ye Zheng Mao
Published: June 2011

This paper presents an algorithm to develop a mission-based optimal joint space control for a Stewart manipulator. The proposed algorithm consists of two optimization phases. The first phase seeks an inverse kinematic model and controller for the closed loop control of a Stewart manipulator using a feedback value. The second phase optimally tunes the controller called amplitude phase control (apc) in order to meet special mission requirements. Iteration algorithm is used in this phase as the optimization method. The proposed amplitude phase control optimal joint space control shows the capability to reduce the error in tracking the sin signals.
Servo Control Strategy of Single Axis Shaking Table in Active Structural Control System
Authors: Qu Zhi Yong , Ye Zheng Mao
Published: June 2011

The purpose of this paper is to develop an approach to improve the tracking characteristics of a single axis shaking table actuation system, which is used in active structural control system. Firstly, the process of constructing analytical model of servo-hydraulic actuation system is presented. The proposed model, in the form of the total shaking table transfer function, accounts for the specific physical characteristics of the single axis shaking table. Due to low natural frequency and small hydraulic actuator damping, the single axis shaking table cannot meet the experimental requirement Therefore, three states feedback and three state feed-forward control algorithm based on pole-assignment principle is applied to extend the acceleration bandwidth. Lastly, the shaking table experiments are tested and the experimental results indicate that the controller is effective and reliable.
Water Quality Management Strategies for Various River Flows with QUAL2K Model
Authors: Tang Ping Kuei , Huang Yi Chu , Huang Jih Sheng , Lin Ya Ju
Published: June 2011

This study utilizes the river and stream water quality (QUAL2K) model as a tool to simulate and forecast the water quality and then to develop the management strategies for various flow rates above the Kaoping weir of Kaoping River in Taiwan. Model results based on the river assimilative capacity of four various flow rates including Q95, Q75, Q60, and Q25 were conducted to determine the corresponding amounts of pollution reduction. The average pollution reduction ratios of biochemical oxygen demand (BOD5) and ammonia nitrogen (NH3-N) should at least reach to 42.0% and 28.3% respectively to meet the restoration goals of Class A water quality standards regulated by Taiwan. The modeling results demonstrate that an increase of water extraction rates in the upstream reaches will have significant adverse effects on the water quality of the Kaoping River. Higher water extraction rates will lower the assimilative capacity that reduces the buffering capacity of river. It also induces that the water quality is susceptible to the impacts of the influent pollutant loads from the tributaries or drainages.
Forgery Attack to Authentication of Anycast Communication
Authors: Zhan Jin Song , Liu Cheng Lian
Published: June 2011

Al-Ibrahim and Cerny proposed an authentication scheme of anycast communication. Their scheme is based on El-Gamal type signature scheme. We prove that their preferred scheme, which does not require interaction among the various signers, is insecure.
Online Speed Detection of Induction Motors Based on Tooth Harmonic
Authors: Zhang Qing Xin , Li Hai Bin , Li Jin
Published: June 2011

Many methods have been used to detect the motor speed. All of these methods are based on the parameter equation of motor and the detection results are influenced by parameters of induction motor more or less. The research of Speed Measurement method without of Motor parameters effect is very significant. Based on the harmonic generated in the air gap magnetic field by the stator core on the alveolar surface, directly by the analysis and testing of stator current harmonic, the rotor speed is detected which is proportional to the speed of frequency components. Experiment results show that this method is good, and the accuracy achieve a desired effect in real time.
Optimal Design of Electronic Circuit
Authors: Wang Jing Li
Published: June 2011

Circuit optimization method should include the topology of automatic design circuit and automatically determine components parameters of the circuit. At present, CAD or EDA optimization tools is produced by combined optimization algorithm and the basic analysis above together with the tolerance analysis. In this paper, optimization design which can modular basic analog circuit by using Optimizer, which makes the circuit topology structure and component parameters tend to be more reasonable, provides the basis for teaching practice and scientific research. It has practical significance.
The Comparison of IT Economic Value in Different Productive Process: Based on Results from US, Japan and China
Authors: Li Shi
Published: June 2011

While researches focused on the role of information technology in Chinese economic growth in recent years, there has little research on comparing China’s IT contributions with other countries. The paper examined IT contribution in China with Production Probability Frontier and Dual Method, and compared it with the results of the United States and Japan. The results of the paper add to our understanding of how IT affects economic growth, and its value in economy.
Investigation on Regional DES Energy Supply Network Planning Based on Bi-Level Programming
Authors: Wei Hai Rui , Yang Bin , Le Mei Long
Published: June 2011

Based on the theory of Bi-level Programming, according to the location and the fluctuant power and heat demand of the customers in the given region, taking the minimum cost of the regional energy supply as objective function, a bi-level programming model was formulated to plan the regional distributed energy supply chain network. A hybrid algorithm of a tabu search algorithm combined with k-means algorithm and a simulated annealing algorithm combined with scanning algorithm has been provided to solve the model. Finally with practical instances we proved the validity of the approach.
Positioning Geometric Strength Analysis of the COMPASS Navigation System for Global and Regional Users
Authors: Nie Peng Cheng , Yao Jing , Yi Dong Yun
Published: June 2011

Based on the mixed and heterogeneous constellation characteristics of the COMPASS navigation system, the weighted dilution of precision (WDOP) is applied to analyze the positioning geometric strength, and the results are compared with the geometric dilution of precision (GDOP) of GPS and Galileo navigation constellation. Aiming at global and regional users, the difference between the positioning performances of various user groups are presented, indicating that the COMPASS constellation possesses remarkable advantages in both the visibility and the positioning geometric strength for regional users. The loss of the positioning performance under the circumstance of individual satellite malfunction of the COMPASS constellation is also discussed, and simulations show that the absence of GEO satellites has the largest impact on the China region.
Application of Technical Objects Relation Model in Manufacturing Enterprise
Authors: Xu Jing , Ji Yang Jian , Qi Guo Ning , Liu Xi Ze
Published: June 2011

Focusing on the technical objects, the relation of technical objects is analyzed on the basis of the product data concept model and the integrated product model by Schöttner. Taking for coding as a tie, the relations among the parts, the documents, the drafts and the models are explained as well as the revised coding solutions. Taking diesel engine enterprise as an example, the deficiencies are pointed out based on the data model status, and the corresponding improved suggestions are proposed. The relations model of technical objects is applied for the enterprise. The application indicates that the model realizes the reusing of existing resources, improves the efficiency of enterprise personnel. It is the guide of implementation for information in future.
An Investigation on Tilt Angle of Touch Screen
Authors: Bao Dong Xing , Li Xiao Ming , Xin Yi Zhong , Ren Xiang Shi
Published: June 2011

Studies on touch screen mainly focus on modalities of input, but the effect caused by environmental parameters has not been studied seriously. In this paper, we designed two experiments that can be used to investigate: whether pen-based input operation can be affected by tilt angle of touch screen, and at which tilt angle of touch screen can user do input operation with comfort, quickness, and accuracy. The experiments we designed include pointing tasks (1-dimensional and 2-dimensional) based on Fitts’ law and stroking tasks (linear and circle) based on Steering law. Each task would be done under 6 kinds of tilt angle of touch screen: 0, 15, 30, 45, 60 and 90 degrees.
Exploration on Service Learning by InformationTechnology
Authors: Li Yun Xiang , Jia Hui Hui , Ge Rui Qing , Bian Yu Zhu
Published: June 2011

Service Learning is a teaching and learning strategy that integrates community service with academic instruction and reflection to enrich students further understanding of course content, meet genuine community needs, develop career-related skills, and become responsible citizens. This study focuses on a case study of service Learning through Information technology in college of China to improve students’comprehensive ability and inspire innovation ability. The study takes the qualitative research to probe into the practical feasibility and effectiveness of service learning by IT
The Research of High Speed Machining Technology for Sub-Regional Complex Surfaces Based on Feature
Authors: Zhou Chun Jiang , Chen Hong Chun
Published: June 2011

The high speed machining technology of complex surface has been a focus of the study. Based on the analysis of cutting force model for ball-end cutters and cutting force tests of 3-axis machining, the paper brings forward the reasonable oblique angle of tool axis for complex surface with different curvature. According to the different feature of surface shape, the surface is classified in terms of oblique angle formed by tool axis and normal vector of surface. Meanwhile, the processing methods are proposed to adapt to classification of surface. Adopting 3+2 axis method in 5 axis machine to processing complex surface with different features by sub-regional process will effectively improve the surface quality and extend tool life. The paper finally put forward the high speed supplementary processing technology to process the boundary and transition area of surface.
The Low-Power Fire Recognition Algorithm under Complex Background
Authors: Liu Qing , Huang Jun Qin , Hou Yun
Published: June 2011

According to the fire burning features, this paper proposes a low-power fire detection algorithm under complex background. In this algorithm, adaptive statistical background features are used as the basis for background suppression to remove the background image effectively and local accumulation area method is used to eliminate interference and identify areas of fire flames. The algorithm solves a difficult problem that low-power fire detection in video sequences which exists in complex background and low SNR is difficult to get. The experimentation results show that under the condition that the image resolution is 400 × 300, the algorithm proposed in this paper can identify the flame within 100 pixels with algorithm response time less than 7s, recognition rate more than 90% and false positive rate less than 10%.
Study on Fabrication Pt Nanowires for Memristor
Authors: Bai Xiao Hui , Wen Dian Zhong
Published: June 2011

Introduced various preparation method of one dimensional nanowire and the merit and shortcoming of various methods, adopt two anodic oxidation method carry on oxadation to the aluminum sheet and Fabricate thickness about 15 ums, 50 nms nanohole diameter AAO template .In the H2PtCl6·6H2O+H3BO4 solutions carry on electrochemistry deposition to the AAO template.The deposited templates were characterized by scanning electron microscope (SEM ) , approval that growth speed of nanowires are the 1 um/h.After had electrochemistry deposited for 12h, the nanowire can pierce through AAO template.The length of nanowire is 15 ums, diameter is 50 nms. Nanowires are independent, they meet demand as conducting nanowires.
A Fault Injection Platform for Availability Evaluation of IA64 System
Authors: Feng Yi , Zhang Zhan , Qian Jun , Zuo De Cheng , Yang Xiao Zong
Published: June 2011

Availability is one of the key features for transaction processing systems. Fault injection is one of the important techniques to hasten availability tests. A fault injection platform is designed in this paper for IA64 system which is being widely used in transaction processing business. The fault injection platform is implemented using client/server mode and a series of fault injection tools are accomplished which covers CPU faults, memory faults, disk faults, IO faults, file system faults and system call boundary errors. A group of experiments on a typical IA64 server are described and performed, and the experiment results validate the effectiveness of the fault injection platform.
Research on Dimensionality Reduction Based on Neighborhood Preserving Embedding and Sparse Representation
Authors: Wu Di , Zheng Zhao
Published: June 2011

In real world, high-dimensional data are everywhere, but the nature structure behind them is always featured by only a few parameters. With the rapid development of computer vision, more and more data dimensionality reduction problems are involved, this leads to the rapid development of dimensionality reduction algorithms. Linear method such as LPP [1], NPE [2], nonlinear method such as LLE [3] and improvement version kernel NPE. One particularly simple but effective assumption in face recognition is that the samples from the same class lie on a linear subspace, so lots of nonlinear methods only perform well on some artificial data sets. This paper emphasizes on NPE and SPP [4] come up with recently, and combines these methods, the experiments show the effect of new method outperform some classic unsupervised methods.
Technological Competency and New Product Development Performance: The Moderating Role of Environmental Turbulence
Authors: Li Qiang , Huang Gu Ling
Published: June 2011

Although studies have emphasized the importance of fit between technology competency and environmental factors on new product development, the empirical examination of this field has been somewhat scarce. This paper therefore examines whether the fit between technology competency and environmental turbulence exist, and impact of this fit on firm’s new product performance. Based on a survey of cross-industry sample of 336 manufacturing SMEs in China, we find that technology competency and environmental turbulence interactively impact NPD performance. Specifically, the efficiency of internal technology competency would deteriorate in dynamic environment.
Diagnosis of Ball Screw Preload Loss by Vibration Signals through the Hilbert-Huang Transform and Multiscale Measure
Authors: Shin Yan Chen , Huang Yi Cheng , Chao Jen Ai
Published: June 2011

This paper proposes a diagnosis method of ball screw preload loss through the Hilbert-Huang Transform (HHT) and Multiscale entropy (MSE) process when machine tool is in operation. Maximum dynamic preload of 2% and 4% ball screws are predesigned, manufactured and conducted experimentally. Vibration signal patterns are examined and revealed by Empirical Mode Decomposition (EMD) with Hilbert Spectrum. Different preload features are extracted and discriminated by using HHT. The irregularity development of ball screw with preload loss is determined and abstracting via MSE based on complexity perception. The experiment results successfully show preload loss can be envisaged by the proposed methodology.
Comprehensive Evaluation of Credit Risk of Supply Chain Finance among SMEs: Based on FCE
Authors: He Juan , Kang Li Wei , Ma Zhong Hua
Published: June 2011

Given the ambiguity, complexity and subjectivity of credit risk among SMEs, this paper is going to adopt FCE method to have a comprehensive evaluation of their credit risk, And it also will quantize and evaluation various risk factors to offer a qualitative reference to decision-making in optimization of commercial banks as well as management and subscription of SMEs.
Robust H∞ Control for Uncertain Nonlinear Stochastic Systems with Delayed State and Control
Authors: Wang Cheng , Xu Yun
Published: June 2011

This paper considers the issue of robust H∞ control for a class of nonlinear uncertain systems with delayed states and control, and the feedback controller is designed. By constructing proper Lyapunov-krasovskii function, the resulting closed-loop system is stochastically stable for all admissible uncertainties, time-delays and nonlinearities, and satisfies a prescribed H∞ performance. Sufficient conditions for the system to be robustly stochastically asymptotically stable are derived, by using linear matrix inequalities and Lyapunov-krasovskii stability theory. The feedback controller is obtained by solving the linear matrix inequalities. Numerical example is provided to show the validity of the proposed approaches.
Minimum Within-Class and Maximum Between-Class Scatter Support Vector Machine
Authors: Liu Zhong Bao , Wang Shi Tong
Published: June 2011

Classification is one of most important tasks in pattern recognition. Support vector machine (SVM) and its improved algorithms are quite important to classification. Although these approaches perform well in practice, they can’t take within-class and between-class scatter into consideration. Inspired from the Fisher’s discriminant ratio in linear discriminant analysis (LDA), a minimum within-class and maximum between-class scatter support vector machine (MMSVM) is proposed. MMSVM has the advantages of SVM and LDA and reflects distributions of classes, therefore, classification accuracy is improved in most cases. Experiments on many datasets verify the effectiveness of the proposed algorithm.
Fabrication of Plastic Micro Features on Microporous Mold by Hot Embossing
Authors: Liu Hang , Hu Hong , Zhang Xing Wei
Published: June 2011

The method of using ultrasonic heating to aid high precision moulding of micro features has been studies. The study developed a method of using ultrasonic vibration to heat the polymer and hot embossing high precision micro features. A commercial ultrasonic welding machine is converted to provide the heating of polymer and mold then into precision micro features for study of ultrasonic heating and the microflow of polymer under ultrasonic agitation. A stainless steel microporous mold of 200µm thick with through holes of 50µm and 200µm in diameter were used. Using a frequency of 35kHz, the microflow behavior of PC (Polycarbonate) and PE (Polyethylene) in the microchannels were investigated. The differing properties of microflow for these two types of polymer give indication on the theoretical and practical agreement on prediction of microflow under ultrasonic energy.
Identifying Protein Structural Classes by a Fusion Sequence Encoding Scheme
Authors: Wang Tong , Wang An Bao , Huang Qing Hua
Published: June 2011

In this study, a novel sequence encoding scheme is introduced by fusing PseAA and PSSM. However, this sequence encoding scheme would correspond to a very high dimensional feature vector. A dimensionality reduction algorithm, the so-called NPE (Neighborhood Preserving Embedding) is introduced to extract the key features from the high-dimensional space. Finally, the K-NN (K-Nearest Neighbor) classifier is employed to identify the types of protein structures. Our jackknife test results thus obtained are quite encouraging, which indicate that the above methods are used effectively to deal with this complicated problem of predicting protein structural classes.
Study on EHL Film Thickness of Non-Rectangular Section Vane Seal
Authors: Xie Liang Xi , Kong Jian Yi , Qian Li , Jiang Guo Zhang , Li Gong Fa
Published: June 2011

The sealing contact pressure is critical in determining the film thickness of elastohydrodynamic lubrication (EHL) on the seal. Contact pressure in sealing surface of non-rectangular section vane seal was obtained via FEA, and the polynomial equation of the contact pressure distribution was fitted with regression analysis. Therefore, the numerical model for the EHL film thickness can be developed and solved. Typical results of film thickness distribution and frictional force for the vane seal at room temperature were obtained. The EHL film thickness distributions follow the variation of the related contact pressure, and the sliding speed is also significant on the average film thickness and the hydrodynamic friction.
Analysis on Kinematic Characteristics Relevant to Three-R Bar Group
Authors: Hong Lin
Published: June 2011

Three R bar group as a typical mechanism of a linkage is studied. Analysis method is based on the theory of kinematics and the method of mathematics. After deriving of relevant kinematic equations, detail analysis about positions, velocities, accelerations, and angles, angular velocities, angular accelerations of bars as well as other kinematics parameters of three R bar group to be searched can be obtained in the paper. Relationships between known and unknown parameters of three R bar group have been determined according to different working states of three R bar group. The method presented in the paper provides a feasible and more efficient method for the analysis of kinematic characteristics of plane linkages.
A Brief Study on Chinolyda flagellicornis Control of Larvae in a Certain Materials Environment
Authors: Wang Wei , Ma You Ping , Wang Bai Quan
Published: June 2011

In order to study fenoxycarb emulsion, bitter smoke EC, Shuai Qi, avermectin Chinolyda flagellicornis of four pesticides on the larvae of the control effects, from the Three Gorges Badong County in Hubei Province were collected in flat farm hazards with sawfly eggs The cedar branches, larvae hatched in the laboratory. Pesticide use for each of 9 repeat, repeat every 5 hours, 24 hours, 48 hours of observation time the number of larvae died. Since each branch the number of different insects, in percentage terms. Of variance, multiple comparisons were the best abamectin, fenoxycarb emulsion is not obvious, there is interaction.
Study on Data Transmission System of Central Heating Based on 3G Wireless Network
Authors: Sun Tie Qiang , Nie Zhao Hui , Liu Rong
Published: June 2011

This paper briefly introduces the composition of central heating data transmission system which bases on 3G wireless networks and the realization of communication. The dates of temperature, flow and pressure, etc, are collected in remote heat-exchange station and are transmitted to dispatch center through 3G wireless network. Due to this, the remote monitoring for the whole heating system is implemented in the dispatch center, which solves the problems of being difficult to collect thermal parameters for the whole system and the unevenness of heat distribution. The result of operation indicates that the system is stable, and offers high regulation accuracy and is easily operated, which meets the requirements of long-term stable operation of remote monitoring.