bluuebunny/crossref_metadata_2025 huggingface dataset:
Properties of the Estimators for Additive-Accelerated Hazard Ratio Model
Authors: Liu Huan Bin
Published: December 2012

Recurrent events gap time is the time difference between two adjacent failures of recurrent events. In this paper, an additive-accelerated hazard ratio model is presented for multiple type recurrent events gap time data, and the estimation methods of unknown parameter and non-parameter function is given. Moreover, the asymptotic properties of estimators are proved.
Study and Application of Collision Detection Algorithm in Building Virtual Training System for Clay Pigeon Shooter
Authors: Jin Yan Xia , Qiao Dao Ji , Shi Zhi Bin
Published: December 2012

In the establishment of a virtual training system for clay pigeon system, collision detection of clay target and grapeshot plays an important role. To achieve the desired simulation effect, Vega、Creator、Visual C++ are used as development platform to model grapeshot and clay target to simulate their flight path and then the combination of classical AABB and Los technique in Vega software are applied to test the collision effect.
Study on the Framework of ASIP Executable Specification
Authors: Zhu Yong
Published: December 2012

The research in accordance with the “description - synthesize” methodology to describe ASIP model is put forward. The executable specification described by the ADL drives the entire design process, and will be synthesized for HDL (Hardware Description Language) logic in EDA software framework to generate automatic design tools.
Study on XML Retrieval Results Classification
Authors: Yu Hong , Huang Xiao Lei , Wei Zhi Ling , Yang Chen Xia
Published: December 2012

Mining (classify or clustering) retrieval results to serve relevance feedback mechanism of search engine is an important solution to improve effectiveness of retrieval. Unlike plain text documents, since the XML documents are semi-structured data, for XML retrieval results classification, consider exploiting structure features of XML documents, such as tag paths and edges etc. We propose to use Support Vector Machine (SVM) classifier to classify XML retrieval results exploiting both their content and structure features. We implemented the classification method on XML retrieval results based on the IEEE SC corpus. Compared with k-nearest neighbor classification (KNN) on the same dataset in our application, SVM perform better. The experiment results have also shown that the use of structure features, especially tag paths and edges, can improve the classification performance significantly.
A Media Stream Multicast Model Based on Proxy
Authors: Zheng Xin Wei , Wu Xiao Yun , Yuan Zhi Bin
Published: December 2012

Although Application-level multicast is a new multi-point data transmission model, there is no mature and effective scheme for network heterogeneity problem. This paper proposes an agent-based adaptive media multicast system, i.e., the so-called iPALM system (Proxy based Application-level Multicast). It uses efficiently data transmission of IP multicast in LAN, and every IP multicast area sets one agent server named MPN, the backbone network composed of MPNs transmits data using application-level multicast. At the same time, iPALM provides the head format of system protocol, and the definition of transmission message in XML format which demonstrates that iPALM system can satisfy every different application requirement, and improves the media service quality in heterogeneous environment.
A Pattern for Partial Software Architecture
Authors: Ying Ming You , Xie Min , Chen Ze Hui , Wu Qiong , Chen Jing Xian
Published: December 2012

In software engineering, the problem on obtaining software architecture possessing the framework for satisfying requirements, and properties of playing roles as the technical basis and the managerial basis in software development process has not yet been solved. It is necessary to first solve a partial software architecture problem to get breakthrough. This paper focuses on a small part of MIS software, namely a user requirement assemble, and addresses issues on its structure pattern and architecting. Through the approach – to induce rationale from scenarios and to deduce structure from rationale, it is found that there exists a pattern so called as ‘multiple interfaces plus a functional calculator (MI+C in short)’ structure for all kinds of the assembles, which can be deployed as the technical basis for design and the managerial basis for the development process.
Design and Implementation of Landscape System for East and West Huashi Street in Beijing Based on Virtual Reality Technology
Authors: Xu Pei Long , Su Yi Min
Published: December 2012

In this project, the utility of virtual environment modeling techniques based on geometric model on modeling street virtual reality systems was studied. The aim is to design a set of modeling streetscape system based on virtual reality systems. In designation phase, this system was based on computer graphics, and virtual environment entities were set up modeled by real entities in life. In the study, the East and West Huashi Street in Chongwen district was taken as a study area, the model of the scene was set up by virtual reality geo-information system, special virtual reality modeling software Multigen Creator was used to set up the 3D environment of the space, and the virtual reality scene was set up with advanced C language and called Vega function library, so that interactive manipulation of boosting, reducing, turning, searching and roaming of the virtual scene could be realized.
Application of Data Fusion to External Insulation Strength of Contaminated-Insulator Assessment
Authors: Pei Chun Ming , Li Ling
Published: December 2012

An external insulation of contaminated-insulator assessment method is proposed based on a tri-level data fusion model of combining principal component analysis (PCA) method, artificial neural net (ANN) method and evidence theory in this paper. When contaminated-insulators partial discharge (PD) occur, much effective information obtained from the sound emitted with PD are synthesized to evaluate the external insulation strength of insulators in operation by the studied method. Firstly, nine characteristic parameters that can rapidly reflect the PD process are selected for image-level fusion of PCA to reduce dimension, which gets two new parameters. Then the new parameters are inputted to ANN for feature-level fusion. Finally, the feature-level fusion output is used as the input of decision-level fusion and fused by means of D-S evidence theory for further reducing the uncertainty of assessment. The artificial contamination experiments were explored to verify the proposed method. The result indicates that the proposed model is more precise than the ANN model under the same conditions.
Debugging Tool for TTA-Based Co-Design Environment
Authors: Yao Liang , Bie Zhi Song , Chen Can Feng , Jiao Xian Jun , Zhang Xin
Published: December 2012

The lack of an effective debugging tool has become a serious constraint to the development of TTA and TCE. In this paper we analyze in depth the requirements of debugging a TTA processor and then present a relatively perfect debugging system which can meet the requirements well. Design details of hardware and software are introduced later on. At last some test results and analysis are discussed.
Research about NAND-Based Adaptive Storage Management Method
Authors: Jiang Guo Song , Xia Zheng Yu
Published: December 2012

Since the physical characteristics and access mode of flash memory both have significant difference with disk, storage management research become the basis and key factor of flash memory database, the performance of storage management often directly impacted on the performance of other subsystems in flash memory database system. Against the characteristics of database data access and problems of existing methods, this paper presented an adaptive flash memory management method which improved performance of data updating in flash memory while taking into account of the better read performance.
Automatic Variable K Module Design of Digital Phase-Locked Loop
Authors: Sun Yan Peng , Yang Xia Yu
Published: December 2012

PLL lock signal, there is contradictions in the capture time and capture bandwidth, also in the capture bandwidth and high signal-to-noise ratio. The article adopted the method of timely change bandwidth to resolve these conflicts, and used the VHDL to design a auto-change K module to adjust the bandwidth. Simulation results verify the validity of the module in the side of resolving conflicts between capture time and capture bandwidth, and capture bandwidth and high signal-to-noise ratio too.
Study on Cloud Computing
Authors: Li Wei , Lu Dong Xin
Published: December 2012

This paper summarizes some issues occurred in the development of cloud computing. First we introduce the background of cloud computing and the difference between cloud computing and others. Then we talk about the architecture and the characteristics of cloud computing. In the end of this paper, we discuss some issues in cloud computing.
Study on Key Issues of Document Format Conversion
Authors: Li Juan , Li Ning , Li Mei Xiu
Published: December 2012

This paper mainly discusses some key issues of document format conversion as well as their solutions. Document format conversion is an effective way to solve the current problems of the coexistence and poor interoperability of multiple document formats. However, the existing format translators are far from perfect and hard to satisfy the users’ requirements.Based on the research of UOF-OOXML translator, this paper discusses the existing problems of the translator so as to find the key issues that affect the format conversion, makes a further analysis of and exploration into these problems, and finds appropriate solutions. The research result is helpful to update the design of translatorsandimprove document interoperability.
A Feasible Direction Method for Design of FIR Filters with SP2 Coefficients
Authors: Zhang Ya Ling , Mu Xue Wen
Published: December 2012

Based on the semidefinite programming relaxation of the design of FIR digital filters with SP2 coefficients, a feasible direction method is presented. Coupled with a randomized method, and a suboptimal solution is obtained for the problem. Furthermore, its convergence result is given. Simulation results demonstrate that the feasible direction method is an efficient method.
Particle Swarm Optimization Based on Multiobjective Optimization
Authors: Ma Zi Rui
Published: December 2012

PSO will population each individual as the search space without a volume and quality of particle. These particles in the search space at a certain speed flight, the speed according to its own flight experience and the entire population of flight experience dynamic adjustment. We describe the standard PSO, multi-objective optimization and MOPSO. The main focus of this thesis is several PSO algorithms which are introduced in detail and studied. MOPSO algorithm introduced adaptive grid mechanism of the external population, not only to groups of particle on variation, but also to the value scope of the particles and variation, and the variation scale and population evolution algebra in proportion.
The Research of Improved Apriori Algorithm
Authors: Liao Zhen Yun , Fu Xiu Fen , Wang Ya Guang
Published: December 2012

The first step of the association rule mining algorithm Apriori generate a lot of candidate item sets which are not frequent item sets, and all of these item sets cost a lot of system spending. To solve this problem，this paper presents an improved algorithm based on Apriori algorithm to improve the Apriori pruning step. Using this method, the large number of useless candidate item sets can be reduced effectively and it can also reduce the times of judge whether the item sets are frequent item sets. Experimental results show that the improved algorithm has better efficiency than classic Apriori algorithm.
A New Smooth Support Vector Machine Based on a Rational Function
Authors: Shen Jin Dong
Published: December 2012

Smooth support vector machine (SSVM) is a strong convex, smooth, and unconstrained optimization model transformed from traditional support vector machine (SVM). In this study, a new smooth function which is a rational function diffrent from those polynomial functions , is used to smoothen the model of support vector machine. A new SSVM based on this rational function (Rational-SSVM) is obtained. Furthermore, Rational-SSVM is better than those SSVMs based on polynomial functions by the precision analysis.
Fuzzy C-Mean Clustering Image Segmentation Algorithm Research for Sport Graphics Based on Artificial Life
Authors: Liu Xiao , Shi Lei
Published: December 2012

In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, a method of the cluster analysis of FCM based on artificial life is proposed. The artificial life approach is promising in image processing because it is inherently parallel and coincides with the self-governing biological process. Firstly, the approximate optimal solution obtained by the FCM algorithm is taken as the original value, then combined with intensity-texture-position feature space in order to produce connected regions shown in the image, the final segmentation result is achieved at last. The experiment results prove that in the view of the sport image segmentation, this algorithm provides fast segmentation with high perceptual segmentation quality.
Convergence Analysis of Surrogate Assisted (1+1) Evolutionary Algorithm
Authors: Jin Ying Ming
Published: December 2012

This paper analyzes the convergence deviation of surrogate assisted (1+1)EA. A model of surrogate assisted (1+1)EA can be built by the finite markov chain, then we got the transition matrix of this algorithm. The deviation of surrogate model can be expressed by the perturbation of transition matrix. So we can estimate the convergence deviation with the method of matrix perturbation analysis. Analyzing of the convergence changes brought by surrogate model’s deviations can help us to have a better select of the surrogate model.
Hybrid Dynamical Evolutionary Algorithm and Time Complexity Analysis
Authors: Li Hui Ying , Zhang Yi Lai , Xu Xing
Published: December 2012

The dynamical evolutionary algorithm (DEA) is a new evolutionary algorithm based on the theory of statistical mechanics, however, DEA converges slowly and often converge at local optima for some function optimization problems. In this paper, a hybrid dynamical evolutionary algorithm (HDEA) with multi-parent crossover and differential evolution mutation is proposed for accelerating convergence velocity and easily escaping suboptimal solutions. Moreover, the population of HDEA is initialized by chaos. In order to confirm the effectiveness of our algorithm, HDEA is applied to solve the typical numerical function minimization problems. The computational complexity of HDEA is analyzed, and the experimental results show that HDEA outperforms the DEA in the aspect of convergence velocity and precision, even the two algorithms have the similar time complexity.
The Study of Effective Video Summarization Algorithm
Authors: Ma Dong Lin , Zhang Xi Jun , Mi Qian
Published: December 2012

In this paper, a video summarization representation algorithm was proposed in compressed domain. In particular, Rough sets(RS) theory is introduced for video analysis to increase. Firstly, DCT coefficients and DC coefficients are extracted from video image sequences, so an Information System can construct with DC coefficients. Then Information System is reduced by ruduction theory of RS, the representation of the video frame is obtained by reduced DC coefficients. Finally, we can obtain the reduced Information System, i.e. the Core of Information System. Since the Core contained all the information in video sequences, and at the same time it banished redundant video frame, so it can be viewed as the effective summarization representation. Experimental results indicate that the algorithm can efficiently generate a set of summarization representative of videos sequences and enjoys following advantages. Only a subset of video frames considered during video analysis, so it can avoid the computational complexity, the video summarization representation becomes more scientific than previous methods.
3D Model Reconstruction Based on Close-Range Photogrammetry
Authors: Zeng Wei , Zhong Si Dong , Yao Yuan , Shao Zhen Feng
Published: December 2012

Close-range photogrammetry is a technique of calculating the location, size and shape of measured object by photography whose object distance is generally not greater than 300 meters. Three-dimensional (3D) model reconstruction based on close-range photogrammetry has higher efficiency than that based on Light Detection And Ranging (LiDAR) technique since acquiring texture data simultaneously. This technology reduces the consuming time of 3D model reconstruction, while ensuring high precision. In this paper, processes and key technologies of 3D model reconstruction based on portable close-range photogrammetry are provided, and it feasibility of the technology is verified via taking Taizhou TV Tower as an example.
Projection Geometric Correction for Screen Pattern
Authors: Han Cheng , Fan Jing Tao , Jiang Zhen Gang
Published: December 2012

In the projection system, the projected image should be able to meet the normal visual needs of observer, so that the viewer can get the correct projection. When the projection screen surface is the irregular free surface, the projection geometric correction of the projected image becomes the research focus. For the question of irregular projection screen surface, this paper presents effective geometric correction method. The geometric correction method based on the geometry of irregular projection screen surface and ideal location of viewport to calculate the points’ three-dimensional coordinate values. In this paper, the projection geometric correction method is widely applicable to various projection screen surface environments.
Vehicle Logo Recognition Based on Local Feature Descriptor
Authors: Wang Sheng Ke , Liu Lili , Xu Xiaowei
Published: December 2012

In this paper, we present a comparison of the scale-invariant feature transforms (SIFT)-based feature-matching scheme and the speeded up robust features (SURF)-based feature-matching scheme in the field of vehicle logo recognition. We capture a set of logo images which are varied in illumination, blur, scale, and rotation. Six kinds of vehicle logo training set are formed using 25 images in average and the rest images are used to form the testing set. The Logo Recognition system that we programmed indicates a high recognition rate of the same kind of query images through adjusting different parameters.
Visual Based Hand Gesture Recognition Systems
Authors: Li Ling Hua , Du Ji Fang
Published: December 2012

This paper describes the techniques used in visual based hand gesture recognition systems. The study is discussed from three aspects: the two categories, the five components, and the methods of feature extraction of visual based hand gesture recognition systems. The two categories are 3D model based systems and appearance model based systems. The five components are image sequences capture, pre-processing, hand regions detection, feature extraction and gesture classification. The methods of feature extraction are Hidden Markov Model (HMM), Artificial Neural Networks (ANN), and Support Vector Machines (SVM). The main ideas of each technique are described in detail.
A Class of Partial Differential Equations Based on the Mean Filter Used for Image Zooming
Authors: Wang Gang , Li Yue Rong , Song Jing Ling , Han Kun , Fu Chang Qing
Published: December 2012

By studying the principles of the mean filter, we obtain a class of partial differential equations based on mean filter, which used for image zooming. Experimental results show that our method is feasible. It also confirmed the importance of the partial differential equations in image processing.
Application of Image Fusion on Brain Surgery
Authors: Zhou Zhen Huan
Published: December 2012

Brain surgery is generally guided by brain anatomical image, tumor removal maybe injure patients’ important tissues and functional areas, and result in death and permanent disability, these important tissue and functional areas are invisible in the anatomical image. This paper presents an image fusion software system, which can merge lesion, important tissues, brain functional image, brain atlas, fiber tract into anatomical image, and show them in 3D image. With the help of this system, surgeons can avoid important tissues and functional areas when they design surgical approach, they can also minimize intraoperative risk and postoperative deformity by the guidance of fusion image. Experiments show that the image fusion system is feasible and applicable to surgery.
Brightness and Color Transfer for Infrared Images in Vehicle Night Vision System
Authors: Jin Xue Bo , Du Jing Jing , Bao Jia
Published: December 2012

The automotive night vision system can significantly improve the safety of driving at night by fusion of visible and infrared images. Due to the aim at helping driving at night, it’s important to develop the visibility and the consistency of the image and the real condition on the road. In this paper, visible light image is enhanced its light and shadow information based on nonlinear exponential function and the infrared image is increased its contrast by S-Retriex method. Then the enhancement images are fused and the color space of fusion image is adjusted by the reference statistical characteristics. Simulations have shown that the result image has good visual scene which retains the details of the infrared image and has original light, shadow and color information.
Photo Response Non-Uniformity Correction of High Dynamic Range Video System
Authors: Liang Lei , Yu Ning Mei , Li Jian Wei
Published: December 2012

In order to solve the problem of the photo response non-uniformity (PRNU) for High Dynamic Range (HDR) video system, this paper discusses the causes of the problem and the common solution, and then proposed a new non-uniformity correction approach based on the reference source for HDR video system. This approach use high-pass filter to calibration image in Frequency domain to get the correction matrix of one level light conditions at first. And then performs an inverse Fourier transform to the spatial domain. Finally calculate the difference between the correction matrix and the target image to obtain the corrected results. The experimental result indicates that the approach has good effect on dealing with non-uniformity of the HDR images and the definition has been greatly improved.
The SAS Image Data Classification with Minimum Error Probability Bayes Classifier
Authors: Lu Wei , Wang Jing , Guan Jing , Yang Heng
Published: December 2012

Due to multipath noise pollution, SAS image consists of two parts : target and noise .They can be described by K + K mixture distribution . How to separate noise data which obey K distribution from the target which also obeys K is a hot topic in SAS image field. This paper used the minimum error probability Bayes classifier to solve this problem, and achieved good results. At the same time, this paper also studied the factors that affect the classification results, such as the absolute value difference of training sample parameters and K distribution parameters.
Crowd Abnormal Behavior Recognition in Intelligent Surveillance System
Authors: Zhao Ying , Zhou Tian Fei , Wei Shao Qian
Published: December 2012

Crowd abnormal behavior recognition is essential for intelligent visual surveillance in public places to ensure the safety of the public. This is a challenging work because crowd behaviors are complex which are influenced by various factors. This paper divided these factors into three categories: physical factors, social factors and psychological factors. Then an overview about crowd behavior modeling approaches was given. After that, the paper described and analyzed some influential existing algorithms in crowd abnormal behavior recognition from the view point of behavioral factors they used. Finally, the paper discussed the future research directions in this area and some research proposals were given.
Errors Analysis of Calculation Methods for Conduction Transfer Functions of Building Constructions
Authors: Li Xiang Qian , Wang Wei Wei , Li Ming Hai , Zhen Mao Yu
Published: December 2012

Conduction transfer function (CTF) is widely used to calculate conduction heat transfer in building cooling/heating load and energy calculations. It can conveniently fit into any load and energy calculation techniques to perform conduction heat transfer calculations. There are two popular methods, state-space (SS) method and frequency-domain regression (FDR) method to calculate CTF coefficients. The limitation of methodology possibly results in imprecise or false CTF coefficients. This paper analyzes the errors of two methods to the material properties of a single-layer and a multilayer heavyweight building construction. The results show that the calculation error of SS method becomes increasing as the wall characteristic parameter becomes increasing. The maximal error even reaches almost 100%. However, the calculation error of FDR method always remains within 1% no matter how the wall characteristic parameters are varied. Thus, FDR method is more robust and reliable than SS method.
A Novel Color Recognition Modeling Method for Bobbin Sorting Machine
Authors: Zhang Mu , Jia Yu Feng
Published: December 2012

Color recognition plays an important role during the process of bobbin sorting. A new combined method with BPNN and SVM is proposed to establish the color recognition model for bobbin sorting machine. The comparisons are done between the model based on new method and the models based on single BPNN and single SVM. The experiments demonstrate that the new color recognition model has the best learning and generalization abilities.
The Research on the Face Recognition Technology
Authors: Lu Shan
Published: December 2012

This article mainly introduces the face recognition technology in its development，the present situation and common applications, and also discusses the facing recognition problems and solutions,finally it makes a brief outlook for the future of face recognition technology in development and application.
Methods to Improve Performance of RFID Antenna Used for E-Commerce
Authors: Lin Bin , Zhang Xun , Lin Qing Wei , Lin Sen , Liu Yu Wei , Huang Wen Ting , Fang Jian Sheng
Published: December 2012

Firstly, this article focous on the requirements for RFID antenna of ecommerce--a fractal design of folded dipole antenna by moment method for simulation analysis of the designed antenna, the return loss performance of the antenna are calculated. In order to have more redundancy for the performance of the antennas in actual use when in all kinds of bad environment to function properly, we try to use methods of additional passive patch, microcosmic fractal structure and mirror compensation structure to improve the performance of the antenna. Then we compare the effects of multiple antenna performance improvement methods, and find the best optimization design project. According to the design of antenna, it’s resonant frequency is 2.4GHz, the minimum return loss value is -46.27dB, the bandwidth is 544MHz. Secondly, in view of the engineered practice, the article also discusses the influence of substrate parameters on the performance of the antenna in detail.
Eliminating the Information Isolated Island of EG System - A Case Study of CIQ
Authors: Yang Xue Yan , Jiang Qiner
Published: December 2012

The main purpose of this paper is to analyze empirically why and how to eliminate the information isolated island, which was a possible aftermath of Electronic Government information system especially in China. We used case studies to discuss how China CIQ eliminates the information isolated island. We found that there are many driven factors encouraging China CIQ to integrate information isolated island. We also found that the IDC is the key element when CIQ deploys the Integrated Clearance Project. The findings of this study would help China EG system decision makers to improve services quality.
Research on the Mechanism of Trust in the Open Online Sourcing Marketplace
Authors: Zeng Qing Feng , Zhang Yi Dan , Jing Nan Nan
Published: December 2012

Open online sourcing is a new outsourcing model. With the development of the information economy, more and more enterprises begin to adopt the open online sourcing. It has great social and commercial value to establish an effective open online outsourcing marketplace, and the critical success factor of the operation is to establish the trust mechanism in this online marketplace. Thus, we construct a trust mechanism model in the open online outsourcing marketplace based on the Theory of Rational Action, and the four dimensions of the trust are identified in the model, they are trust intention, trading mechanism trust, trading process trust and quality of the online platform. This model can provide theoretical guidance in the operation of the open online sourcing marketplace.
Analysis of E-Commerce Application in Coal Enterprises: A Case Study of Shandong Quanxing Enterprise
Authors: Tian Ling , Xue Wan Xin , Wang Xiaohong
Published: December 2012

Shandong Quanxing enterprise, a Chinese traditional coal enterprise to build e-commerce website actively for offering all coal-related information and services, expansion of company, promote the corporate image, optimize the internal structure, reduce operation costs, simplify distribution procedures and so on, was built in Dec 2005. This paper surveys the status quo of e-commerce application in Shandong Quanxing enterprise comprehensively from the perspective of technology, management, website, operation and cooperation. Based on the analysis and current development trend of e-commerce application, this paper puts forward with some suggestions for Shandong Quanxing enterprise.
A Method Based on BP Neural Network to Detect SIP DOS Flooding Attack
Authors: Cheng Hai Xiu , Zeng Bi
Published: December 2012

In order to detect the SIP flooding attacks in IMS (IP Multimedia Subsystem) network, the paper proposes a flooding attack detection method based on BP neural network, and analyses causes of SIP flooding attack, and thus determine the BP the input of the neural network characteristics. The simulation results show that this method has better detection performance.
High Performance and High Availability Archived Stream System for Big Data
Authors: Miao Jia Jia , Chen Guo You , Du Kai , Fang Xue Lin
Published: December 2012

The increasing number of applications for large data, such as Web search engines, we need to have high availability 7*24 tracking, storage and analysis of a large number of real-time user access logs. Traditional common trading application high availability solution, always not efficient enough to store this high-rate only inserted into the archive stream. This paper presents an integrated approach to save of this archive of data streams in a database cluster and rapid recovery. This method is based on a simple replication protocol and high performance data loading and query strategy. Experimental results show that our approach can reach efficient data loading and query and get shorter recovery time than the traditional database cluster recovery methods.
Design and Development of Monitor System Based on Wireless Portable Handheld Terminal
Authors: Xue Yao Feng , Yin De Bin , Sun Hua Li , Zheng Shui Bo
Published: December 2012

The monitor system for industry process based on wireless portable handheld terminal is designed and developed. The Client/Server mode is used in the architecture of monitor system. The embedding technology is employed to design and develop the client software. The server software are developed based on the web service technology. The real-time database is constructed. The system can monitor the industry process wirelessly, remotely and timely.
The Internet of Things Smart Home System Design Based on ZigBee/GPRS Technology
Authors: Wang Yan Min
Published: December 2012

In this essay, put forward a concrete implementation scheme of the internet of things smart home system based on ZigBee/GPRS technology. Mainly talk about the reason why ZigBee wireless communication technology is suitable for the smart home system and the design scheme of software and hardware. This system has access to the internet by GPRS, implement the wireless communication with the home gateway and realize the data transmission between the sensor network and telecommunication network as well as the protocol conversion between different types of sensor network. This system has a good market application and popularization value.
Ajax and Mobile Platform Applied in Environment Monitoring System Based on GPRS Network
Authors: Chen Fu , Zhu Quan Yin
Published: December 2012

In order to obtain the remote environmental parameters, The SHT10 digital humidity and temperature sensor, and the TSL2561 light-to-digital converter were used to get the environmental parameters such as the temperature, the humidity and the luminance. The two sensors were controlled by the microprocessor MCS-51. The Internet of Things (IOT) technology was used to transform the parameters data to the remote server through the GPRS network, and the SIM900 chip was opted to accomplish GPRS function. The Ajax and the mobile platform were combined to make sure that the environment data on the server can be easily accessed. By using Ajax in the web application, the time to reach the information reduced a lot, and there were no more geographical restrictions because of the Mobile Platform application.
Non Negative Solutions Conditions of Nonlinear Urban River Model
Authors: Song Hua Bing , Zhang Xin Zheng
Published: December 2012

In this paper, the properties of urban river water quality model’s solutions have been discussed by comparison system, and the result is that the model has nonnegative solutions when all the parameters of model are positive.
Weighted K Nearest Neighbour-Based Cooperation Intrusion Detection System for Wireless Sensor Networks
Authors: Pan Ju Long , Hu Ling Long , Li Wen Jin , Cui Hui , Li Zi Yin
Published: December 2012

To identify the malicious nodes timely in wireless sensor networks(WSNs), a cooperation intrusion detection scheme based on weighted k Nearest Neighbour(kNN) is proposed. Given a few types of sensor nodes, the test model extracts the properties of sensor nodes related with the known types of malicious nodes, and establishes sample spaces of all sensor nodes which participate in network activities. According to the known node’s attributes sampled, the unknown type sensor nodes are classified based on weighted kNN. Considering of energy consumption, an intrusion detection system selection algorithm is joined in the sink node. Simulation results show that the scheme has a lower false detection rate and a higher detection rate at the same time, and it can preserve energy of detection nodes compared with an existing intrusion detection scheme.
Process Analysis and Data Collection of Mine Enterprises Measurement System
Authors: Liu Yan Chun , Li Zhong Qiu
Published: December 2012

The level information about manual, semi-manual metering system of mine enterprises is low, and it has seriously affected the economic efficiency of enterprises. This paper research the key technology which is combined the computer network and industrial digital acquisition technology on mine enterprise metering system. First, analyze the measurement system processes, which is combined with the trucking and rail transport, and analyzed incoming raw materials and manufactured products, measuring the flow of information; Then, design the program of measurement system hardware; Finally, design the data collection, Mainly research MSComm control, including the MSComm control programming, communication methods and the main properties of the MSComm control the CommEvent property. The results of this study can be realized on data standardization management, and it also improves the efficiency of work and economic benefits of enterprises with modern management needs.
Dynamic Magnetic Force Analysis of the New Low-Power Radial Magnetic Suspension Bearing
Authors: Sun Chuan Yu , Xiao Lin Jing , Wang Shu Ping
Published: December 2012

In order to reduce the current consume of magnetic suspension bearing, the paper has brought forward a new low-power radial magnetic suspension bearing (RMSB), the bearing has a hybrid structure of permanent magnet and electromagnet, the upside suction force and downside repulsion force generated by permanent magnet can counteract the gravity of rotor, and the electromagnetic repulsion force generated by electromagnetic coil can adjust the dynamic position of rotor. Through the model simulation and analysis, the paper educes the calculation formula of eccentric force, gets the relationship between magnetic force and eccentric distance, gets the relation curves between the eccentric distance and the control current under the case of nonzero radial speed, and finally gets the minimum precise control current. This magnetic bearing has great effect and meaning in the no friction domain with the advantages of low power, simple control, etc.
Multi-Node of Synergy Certificateless Authentication in WSNs
Authors: Liu Guang Cong , Shi Yuan Jie , Li Cong
Published: December 2012

Certificateless Public Key Cryptography (CL-PKC) overcomes not only the key escrow problem in public key cryptography but also the cost of the certificate publishing and management in the Certificateless Public Key Cryptography (CL-PKC). No certificate public key cryptosystem just meet the requirements of this, but it relies on a special authentication server, which has high operating costs and lack of flexibility and it cannot meet the requirements of wireless sensor networks directly. Considering these problems, a multi-node of synergy certificateless authentication approach is proposed for WSN. The certificate of the nodes would be done by the certification set. And the set was consited of trusted neighbor nodes. Analysis indicates that this certification meets the security requirements of general wireless sensor networks and has advantages of low-cost and high efficiency.
Some Results Concerning Cryptographically Significant Permutation Polynomial
Authors: Gong Luo Zhong
Published: December 2012

The function $x^{2^{n-1}-1}+ax^5 (n$ odd, $a\in\mathbb{F}_{2^n}$) is differentially 4-uniform and is never bijective. Using Hermite’s Criterion, prove some necessary conditions that $x^{2^{n-1}-1}+ax^5+L(x), L(x)$ being a permutation polynomial.
Building a Test System without Clock Synchronization for Measuring UE-to-UE One-Way Delay of VoIP Packets in WCDMA Networks
Authors: Li Yan Chao , Liu Fu Qiang , Wang Ping , Xing Wei Jun , Jia Li Xuan
Published: December 2012

For the current encountered difficulties in UE-to-UE one-way delay test of VoIP business, this paper introduces a test system to measure the one-way delay between two user equipments (UE). The paper shows that the key to implement this system is that we make different UE obtain time information from the same computer instead of the traditional time synchronization process. Thus, we need a server in the core network to realize the function of packet forwarding. Moreover, when VoIP business is running, the packets from UE should be captured in order to calculate the time difference between the sender and the receiver. The purpose of this system is to provide a test solution of VOIP UE-to-UE delay.
Inventory Simulation Modeling and Comparative Analysis of Supply Chain with Single and Multi-CODP
Authors: Wang Yu , Liang Xiao Ling , Wu Wen Xing
Published: December 2012

The traditional MC supply chain only set up single CODP. Some scholars set multiple CODPs in supply chain in theory, so the inventory becomes more complicated. The paper firstly analyzes the inventory in MC supply chain with single CODP and multi-CODP, then builds inventory simulation modeling of supply chain with single CODP and multi-CODP based on system dynamics. Finally, uses the case of turbine production and related data to simulate and demonstrate. Actually, the total inventory at the CODP of single CODP chain is less, while the total work in progress of multi-CODP supply chain is less. And the total work in progress of supply chain with multi-CODP controls better.
Multi-Attribute Group Decision Making Models under Intuitionistic Fuzzy Environment
Authors: Duan Rong , Han Qing Bang , Wang Zuo
Published: December 2012

In order to solve the problem of multi-attribute group-decision making with the elements of evaluation matrix are intuitionistic fuzzy sets, this paper offers corresponding TOPSIS models based on the information entropy weights and examples to be verified. The examples show the feasibility and effectiveness of the proposed models.
Independent Spanning Trees on Special BC Networks
Authors: Cheng Bao Lei , Fan Jian Xi , Yang Ji Wen , Wang Yan , Zhang Shu Kui
Published: December 2012

There is a well-known conjecture on independent spanning trees (ISTs) on graphs: For any n-connected graph G with n≥1, there are n ISTs rooted at an arbitrary node on G. It still remains open for n≥5. We propose an integrated algorithm to construct n ISTs rooted at any node similar to 0 or 10n-1 on n-dimensional HCH cube for n≥1 and give the simulations of ISTs on several special BC networks, such as HCH cubes, crossed cubes, Möbius cubes, twisted cubes, etc.
Complexity Constrained Detection of Continuous Phase Modulation Based on Breadth-First Method
Authors: Zhang Lei , Hu Bin , Wu Jun , Liu Zhong Hua
Published: December 2012

This paper solves the problem of high detection complexity of continuous phase modulation (CPM) signals over additive white Gaussian noise (AWGN) channel. A complexity constrained sequence detection method for CPM is provided using breadth-first maximum-likelihood sequence detection. The derived result is to reserve only those states which are closest to the received signal in the Euclidean distance after retain one best path for every state. Compared with the maximum-likelihood detector based on Viterbi Algorithm (VA), a significant reduction in complexity is obtained by the suggested detector while maintaining good performances.
Design and Application of Network Management System for Sports Events
Authors: Liang Jian Xun , Cai Yun Tao
Published: December 2012

It is significant in theory and practice to develop and exploit online supervision system of sports games,which is helpful to improve sports games’efficiency and social economic benefit. The outcome of this study is as follows:the sports games online supervision system based on the wireless network has the advantages of convenience, mobility,combination, economy, practicality and high efficiency. It is easy to achieve the standardization of data structure and work flow. Using the online equipment of 802.11b allows a further development of the function of real_time image.
An Accuracy Position Index Model for Moving Objects on Fixed Network
Authors: Bao Yong Wei , Wu Wei
Published: December 2012

Temporal and Spatial database of moving objects on fixed network involves frequent updates. Information on query about the historical, present and future positions of moving objects is still limited. The current study propose a new index model (RRH) based on R*- tree, R-tree and Hash table. The R*-Tree is used to index the spatial data of the network. The R Tree forest is employed to index the time intervals. A composite hash table and link list storage structure is used to queries retrieve based on trajectory. The exponential smoothing algorithm is applied to forecast position/speed of the moving objects for a given time. The analysis results show that the proposed model has higher efficiency position prediction.
Modeling of Distributed Generation in Power Flow Calculations on Distribution Networks
Authors: Wang Guan , Gao Wan Lin , Wang Kun , He Yuan Jing
Published: December 2012

Distributed Generation that is usually installed in the client or near them is a kind of power equipment whose capacity is generally small in the tens of kilowatts to tens of megawatts, which becomes a hot research area at home and abroad in recent years. The method for power flow calculations on distribution networks face new challenges because of the access of distribution generation, while, modeling of distribution generation is the basis and precondition for the research of power flow calculations on distribution networks with distributed generations. The article studies the modeling of distributed generations in power flow calculations, anylies most distributed generation forms, focuses on the interpretation of the principle and essence of them, and establishes theoretical models apply to the flow calculations. The modeling lay a solid theoretical foundation for the power calculations on distribution networks with distributed generations.
Research for Supporting Emotional Education of Network Based on Moodle
Authors: Wang Li , Liu Chun Gui , Yuan Hu Ting
Published: December 2012

The emotional education is a significant goal of education. Only pay more attention to the emotional factors in network teaching, we can cultivate the healthy human nature learners. This paper will introduce the Moodle platform and have a thorough discuss on how to use Moodle to realize network emotional education from the teaching function Moodle included.
A Study on the Relation between Meta-Cognition and Problem Solving Ability among the Students of Mechanical Engineering
Authors: Lee Hsiu Ming , Chuang Chien Pen , Li Jeen Fong , Huang Yu Chun
Published: December 2012

This study are to understand the current state of the students’ meta-cognition, their attitude toward problem solving ability and to explore the relationship between the two. Using descriptive statistics, t-tests, Pearson product-moment correlation, and regression analysis, there was a moderate correlation (r = .531, p＜.05*) between the subjects’ meta-cognition and problem solving ability. Using simple regression analysis, the findings showed that meta-cognition had significant predictive power on problem solving ability.
Research of Project-Based Teaching for Analog Electronic Technology
Authors: Yang Hui Mei , Wu Cheng Yu , Wu Fei Qing , Zhu Yong
Published: December 2012

According to the weak foundation of independent college students and the characteristics of anolog electronic technology course, project-based teaching method was proposed to explore the teaching reform theory and practice. Some reform ideas of the project-based teaching are described and an example of audio power amplifier is introduced. Practice of teaching students shows that project-based teaching method can stimulate their learning interest, train their innovative ability and increase their comprehensive ability.
Comprehensive Quality Evaluation Model for College Students Based on Fuzzy Decision-Making
Authors: Wei Ying
Published: December 2012

This paper studied the problem of comprehensive quality evaluation for college students, and constructed the optimal index system for evaluating the college students’ comprehensive ability, and then proposed a comprehensive ability evaluation model based on fuzzy multiple attribute decision making method. An application example of students’ comprehensive ability evaluation is given to show the feasibility and rationality of the evaluation model.
Based on the Collaborative Industrial Design of Product Development Research
Authors: Cao Chun Xiao , Liu Yan Peng , Kuang Ting Yue
Published: December 2012

This paper discusses the basic concepts of collaborative product design and application status, pointing out that collaborative innovation is to solve the current domestic industrial design common small-scale enterprises, an effective way of weak innovation capability. Effective industrial design industry collaborative innovation model is the internal collaboration, collaborative industrial design firms and manufacturing companies, the collaboration between the members of the industrial design industry chain integration.