bluuebunny/crossref_metadata_2025 huggingface dataset:
Fuzzy Comprehensive Assessment Method is Based on the Transmission Lines of the Analytic Hierarchy Process Sewage Flash
Authors: Wang Qiang , Song Shu Ting , Zhang Hui Ming , Yao Da Hai
Published: August 2013

Transmission line flashing will cause large area and long time of blackouts,it happens in the working voltage,and it poses serious threat to the electric power system. With the development of industry,the increase of power grid capacity and rated voltage level,there are more and more flashing accidents occurred in the power system of power transmission and transformation equipment external insulation,also the damage that they bring about to our economy is getting larger.Aiming at a series of problems caused by transmission line flashing,this paper comes up with an assessment method of transmission line flashing,it improves the forecast accuracy and efficiency so as to ensure the safety operation of transmission.
Research on Power System Fault Diagnosis Based on Bayesian Networks
Authors: Yang Guo Feng , Xiao Qing Ming , Ouyang Hong , Zhao Jia Kui , Li Ting Shun , Zhou Jing
Published: August 2013

Aiming at the incompleteness and uncertainty of information existing in power system fault diagnosis, a new fault diagnosis approach based on Bayesian network is proposed in this paper. Through the Bayesian network of structure learning and parameter learning, a power system fault diagnosis model based on Bayesian network has been proposed. Conditional probability table describes the connection degree between various factors in quantity. Diagnostic results of instance proved the effectiveness and superiority of the proposed method.
The Invention of the Car Horn Intelligent Display System
Authors: Ruan Guan Qiang , Yu Lei , Yin Yan Yan , Yuan Fu Xing , Wang Jian
Published: August 2013

This article describes a system device capable of displaying a car outside sounds, the system device sound signals collected by the sound sensor , combined with the single-chip analytical processing Finally, LED lights, buzzer and other electronic actuator smart car external speaker sound source direction and strength of the drivers are able to accurately determine the rear of the vehicle the location and intentions, in order to take more appropriate driving route and speed, so that the operation of the vehicle more intelligent, is conducive to maintaining the smooth flow of traffic, more effective in reducing traffic accidents, to further improve automotive safety system, greatly improves the safety performance of vehicles.
The Design and Implementaion of PTZ Control in Intelligent Video Surveillance
Authors: Lv Sai Dong , Tang Guo Hua , Xia Yao Wen , Xie Ji Li
Published: August 2013

In the security monitoring system, in order to realize the multi-angle and different positions of the camera monitoring the camera monitoring, a pan tilt zoom (PTZ) module is used. This paper describes the PELCO-D protocol of PTZ and serial communication firstly. Then it achieves control the of PTZ and lens work based on Windows VC++. Finally, It discusses the main function of the system structure and coding.
A Cooperative Hybrid Caching Strategy for P2P Mobile Network
Authors: Zhou Mo , Ji Bo , Han Kun Peng , Xi Hong Sheng
Published: August 2013

Recently mobile network technologies develop quickly. To meet the increasing demand of wireless users, many multimedia proxies have been deployed over wireless networks. The caching nodes constitute a wireless caching system with an architecture of P2P and provide better service to mobile users. In this paper, we formulate the caching system to optimize the consumption of network bandwidth and guarantee the response time of mobile users. Two strategies: single greedy caching strategy and cooperative hybrid caching strategy are proposed to achieve this goal. Single greedy caching aims to reduce bandwidth consumption from the standpoint of each caching node, while cooperative hybrid caching allows sharing and coordination of multiple nodes, taking both bandwidth consumption and popularity into account. Simulation results show that cooperative hybrid caching outperforms single greedy caching in both bandwidth consumption and delay time.
A Cross-Layer Design Scheme between Spectrum Decision and Routing in Cognitive Wireless Mesh Networks
Authors: Zhang Guo An , Yang Yun , Ji Yan Cheng
Published: August 2013

Spectrum sharing technologies can achieve the maximum usage of spectrum resources flexibly and high-efficiently, which relieves the current spectrum crunch situation availably. In a multi-hop cognitive wireless mesh network scenario coexisting with a TDMA/FDMA cellular network, an effective scheme of cross-layer design between link-layer spectrum decision and network-layer routing is proposed, on the basis of the combination of spectrum underlay and spectrum overlay. Simulation results verify that the scheme outperforms distinctly the shortest path based random spectrum decision algorithm on network end-to-end performance.
Design of a High Definition Video Communication System in Real-Time Network
Authors: Liu Yun Feng , Peng Xian Rong , Jin Zheng
Published: August 2013

This paper presents the design of a high definition video communication system with real-time performance in the network. In order to process and transmit the high definition video, the design combines FPGA and SOC, follows the H.264 video coding compression. The FPGA realizes the highspeed video acquisition via Cameralink interface, and convert the raw image to ITU-R BT.1120 stream. The SOC contains CPU and Codec, it compresses the BT.1120 stream to H.264 steam and transmit the stream in the network. The low-delay rate control algorithm can limit the bitrate in a very low level. The result shows that the system reduces bandwidth and lowers the latency, the design is adaptable to the real time environments.
One OCDMA PON System with 2D Multi-Length Two-Weight CHPCs
Authors: Zhang Di , Liu Yu Hua , Xu Cui , Qi Yong Qiang
Published: August 2013

One OCDMA PON system is discussed in this paper. Multi-length Two-Weight Carrier Hopping Prime Codes is selected as encoder scheme, encoded information is transmitted through Optical fiber. Hard Limiter is utilized in receiver terminal to ensure lower bit error rate. Simulation shows that it can be used for large capacity optical networks.
Fuzzy Force Compliance Control for Cleaning Processing
Authors: Yuan Jun Jie , Hu Tian Yu , Jiang Yu Lei
Published: August 2013

A special designed dual-spindle tool was assembled on the end of a Cartesian robot for purpose of cleaning up mounting holes of carbon anodes used in aluminum electrolytic production. Spiral grooves distributed around inner wall of the mounting holes lead to force compliance issues during cleaning process. Decomposing the task space into force and position control directions, the compliance movement of the scraping tools was accomplished based on hybrid force-position method. Fuzzy strategy combining with conventional PI controller was utilized to perform torque control of scraping blades of the cleaning tool while the environment stiffness is uncertain. The control algorithm was realized in a programmable logic controller based on look-up table of fuzzy rules. Cleaning tests in actual production line were also performed that indicated the validity of the force compliance controller.
Clock Compensation Strategy in Train Ethernet
Authors: Zhang Xiao Yong , Peng Jun , Li Shuo
Published: August 2013

How to degrade the delay time of gateway queuing with heavy network load in train communication networks is the key to guarantee the stability of the train. This article models the queue scheduling problem modeling into reinforcement learning process, puts forward an adaptive weights learning polling scheduling algorithm with the purpose of dynamic scheduling for vehicle gateway node queue. With the compare of algorithm in this paper and weighted round-robin scheduling algorithm in adequate and inadequate bandwidth resources situations, we have approved the superiority of the algorithm in this paper.
Weight Set of State Estimation Based on Partition
Authors: Zang Jia Yi
Published: August 2013

In power system state estimation, bad data of local area can make state estimation difficult, and accuracy of measurement can also have great influence on the result of state estimation. Based on grid partition, this paper forms a lot of independent sub area, then measurement weights are adjusted using the state estimation result of sub area. This overcomes the defects of uniform weights distribution, and improves the accuracy of state estimation
CDMA VPDN-Based Wireless Data Communication System for Mobile Pipeline Patrol
Authors: Sun Fei , Song Jun Yuan , Xu Jun Xia
Published: August 2013

Communication is the basic method to guarantee oil transportation command and scheduling of mobile long-distance pipeline and is the nervous system of the mobile pipeline. Based on the characteristics such as varied topography of the region it extends, long distance between stations, large volume of data transmitted and high requirement for security and relying on the private network of Telecom CDMA VPDN, the wireless data communication system for pipeline patrol integrating task management, service filing, real-time communication and positioning & navigation is established. The experiment proves that the system establishes safe and reliable real-time communication and achieves desired effects and smooth high-efficient upstream & downstream data transmission. It is of significance to improve patrol efficiency and quality and to guarantee oil transportation security of the pipeline.
An Energy-Efficient Security Node-Based Key Management Protocol for WSN
Authors: Bi Jia Na , Xu E
Published: August 2013

A security node-based key management protocol is proposed for cluster-based sensor networks. Member nodes and cluster heads are responsible for data collection and transmission. Security nodes are responsible for key management. Security nodes restrain key management function of cluster heads, and reduce damage of captured cluster heads. Generation of security nodes and different kinds of keys is described. Performance analysis and simulation show that the proposed key management protocol consumes less energy, and its delay time of key generation is short. At the same time, the protocol can provide more collaborative authentication security for keys. It has strong resilience against node capture, and can support large scale network.
Study on Cross-Layer Design Method for Wireless Self-Organizing Network
Authors: Wang Hai Tao , Chen Hui , Song Li Hua
Published: August 2013

Distinctive dynamic traits of wireless self-organizing network make traditional layered protocol design method unsuitable, so a novel cross-layer protocol design and optimization method should be adopted. In this paper research backgrounds and motivations of cross-layer design method are introduced firstly. Then, cross-layer design policies, forms and methods are expatiated. On the basis of above explanations, a kind of general cross-layer architecture is proposed and analyzed. In the end, existent problems of cross-layer design method are pointed out.
Neural Network Application for Netted Radar Information Processing Systems
Authors: Hu Jian , Hu Fan Jun
Published: August 2013

This paper discusses the neural network application for the information processing in the netted radar tracking systems compared with the problems of the conventional radar information processing. And then test the neural network using simulation method. The simulation result shows that the neural network method can perfectly solve the target tracking problems in the netted radar systems.
Research on Adaptive Triangular Irregular Network for Virtual Battlefield Terrain
Authors: Jiang Heng Heng , Chen Xin Yu , Zhang Wen Jing
Published: August 2013

Constructing virtual battlefield terrain is a very important subject in military simulation. In allusion to the shortcoming of actual triangulated irregular network, an adaptive triangular irregular network is proposed in this paper, and the 3D modeling of the battlefield terrain is built. Effectiveness and speediness of the proposed method was demonstrated by the experiment result, and the details and precision of terrain mode1 is better than others.
Research the Key Technologies of the Mongolian Full-Text Retrieval Based on Lucene
Authors: Ding Guo Qiang , Lin Min
Published: August 2013

Under the premise of in-depth understanding of Lucene full-text retrieval technology, this paper will apply it to the Mongolian text search. First, several key issues are proposed which are need to be addressed in achieving the Mongolian text search technology, and give the corresponding solutions to achieve the Mongolian full-text retrieval in Lucene. Second, this paper provides a fast, accurate and comprehensive Mongolian information full-text search service, played a key role in promoting the development of the Mongolian search engine.
An Algorithm of Plus-Closures of Loop-Nonnegative Matrices over Idempotent Semirings and its Applications
Authors: Wang Zhi Xi , Wang Ya Na , Hu Bin Liang , Liu Yu
Published: August 2013

To judge the loop-nonnegativity of a matrix over an idempotent semiring and compute the plus-closure of when it is loop-nonnegative, a Plus_Closure_of_Matrix algorithm of complexity is constructed and proved. As a generalization of Floyd algorithm, Warshall algorithm as well as Gauβ-Jordan Elimination algorithm on idempotent semirings, this algorithm can also be used to solve some Algebraic Path Problems, Shortest Path Problems and the transitive closures of matrices over idempotent semirings even if the idempotent semirings have no completeness and closeness.
University Teaching Administration System Based on Active Database
Authors: Guo Yi Zhuo
Published: August 2013

This article has analyzed the insufficiency of the traditional teaching administration system, proposed that through inserts the way of regulation storeroom to realize in the procedure active database-based the teaching administration system, through the practical research showed that this system can provide the real-time, all-round service on own initiative, and active service mechanism is highly effective, feasible
Shape Control Learning Algorithm for Neural Networks
Authors: Zhang Dai Yuan
Published: August 2013

A new kind of shape control learning algorithm (SCLA) for training neural networks is proposed. We use the rational cubic spline (with quadratic denominator) to implement a new neural system for shape control, and construct a new kind of artificial neural networks based on given patterns. The shape can be controlled by some shape parameters, which is much different from the known algorithms for training neural networks. The numerical experiments indicate that the new method proposed in this paper demonstrates good results.
Research on Multicast Routing Algorithm for P2P Overlay Network
Authors: Chen Liang Bin , Li Qiang , Feng Xiang
Published: August 2013

Multicast routing is a critical problem in the P2P network. The main task for multicast routing is to establish a multicast tree with good performance, to satisfy the various qualities of service requirements, such as improving the streaming media service quality, and the utilization rate of cyber source. Many efficient overlay multicast routing algorithms are proposed to face the new challenge in current P2P network. This paper attempts to survey the current problems, the solutions for overlay multicast routing algorithms, and points out the further research directions.
Joint Data Link System Based on Cloud Computing
Authors: Yang Juan , Chen Xin Yu , Jiang Bing , Luo Jian Lu , Zhang Wen Jing
Published: August 2013

In order to meet the requirements of multiple data links cooperative combat in network centric battle field, we analyzed the problems and challenges that US Army tactical data link system encountered when meeting the needs of network-centric warfare, and elaborated the turning point that the ideas of cloud computing service mode construct the networking data link system in network-centric battle field. On the basis of this, we put forward a new battlefield-oriented, demand-based, real-time serviced networking data link system---the joint data link system based on cloud computing, and proved that the use of cloud technology in Joined Data Links can improve the system service level markedly.
Application of Multimedia Technology and Network-Based Environment in Oral English Teaching
Authors: Xu Jie , Li Guo Jian
Published: August 2013

This paper mainly analyzes the current problems existing in oral English teaching with application of multimedia technology and network-based environment on base of constructive learning theory as well as current reform situation. By providing diverse effective strategies, both scientific application of multimedia technology and oral English teaching quality could be achieved to its best.
A Computing Capability Allocation Algorithm for Cloud Computing Environment
Authors: Hu Wen Xin , Zheng Jun , Hua Xia Yu , Yang Ya Qian
Published: August 2013

For several special features in the environment of cloud computing, which may be quite different from the centralized computing infrastructure currently available, the existed method of resource allocation used in the grid computing environment may not be suitable for these changes. In our paper, a new allocation algorithm based on Ant Colony Optimization (ACO) is proposed to satisfy the needs of Infrastructure as a Service (IaaS) supported by the cloud computing environment. When started, this algorithm first predicts the capability of the potentially available resource nodes; then, it analyzes some factors such as network qualities and response times to acquire a set of optimal compute nodes; finally, the tasks would be allocated to these suitable nodes. This algorithm has shorter response time and better performance than some of other algorithms which are based on Grid environment when running in the simulate cloud environment. This result is verified by the simulation in the Gridsim environment elaborated in the following section.
Research of Cloud Computing Task Scheduling Algorithm Based on Improved Genetic Algorithm
Authors: Ge Jun Wei , Yuan Yong Sheng
Published: August 2013

Use genetic algorithm for task allocation and scheduling has get more and more scholars' attention. How to reasonable use of computing resources make the total and average time of complete the task shorter and cost smaller is an important issue. The paper presents a genetic algorithm consider total task completion time, average task completion time and cost constraint. Compared with algorithm that only consider cost constraint (CGA) and adaptive algorithm that only consider total task completion time by the simulation experiment. Experimental results show that this algorithm is a more effective task scheduling algorithm in the cloud computing environment.
An Improved D-S Evidence Theory Based on Genetic Algorithm to VIP Intelligent Recognition and Recommendation System
Authors: Xu Xiao Yin , Ren Li Hong , Ding Yong Sheng
Published: August 2013

In this paper, we use GA to improve the D-S evidence theory, and apply the improved D-S evidence theory to VIP intelligent recognition and recommendation system. In the VIP intelligent recognition and recommendation system of clothes, there are three main evidences: body size, personal preferences, and purchase records. So collision often happens inevitable. This requirement asks us to find out a suitable method to identify the VIPs needs. D-S evidence theory can improve the rate of identification, but has no idea about the collision. The improved D-S evidence theory based on genetic algorithm can deal with the collision evidence and improve the rate of the identification and the stability. As such we can provide VIP more suitable recommendation. The experiment results of clothes recommendation demonstrate the flexibility of the improved method.
A New Scale Free Evolving Network Model with Community Structure
Authors: Cai Jun , Liu Wai Xi
Published: August 2013

Understanding and modeling the structure of a complex network can lead to a better knowledge of its evolutionary mechanisms, and to a better cottoning on its dynamic and functional behavior. The nodes within a network not only tend to connect the nodes with high degree (scale-free property), and tend to connect with their relatively close distance nodes (community structure property), and the high-degree nodes are easier to connect with their relatively far nodes comparing with the low-degree nodes in the process of network evolution. This phenomenon has been commonly observed from many real-world networks, ranging from social to biological even to technical networks. To model this kind of networks, the present letter proposes a scale free network model with community structure (SFC) to capture and describe their essential topological properties. Numerical simulations indicate that the generated network based on SFC model has scale-free and community structure property. Under the control of the parameters of the model, the community structure of network can be adjustable.
Design and Implementation of Distributed Crawler System for Opinion Mining
Authors: Gao Yun Qi , Peng Chun Lin
Published: August 2013

With the development of Internet, Network public opinion has been serving an import role in reflection of social public opinion. As there are a large number of websites and forums on the Internet, we need a powerful crawler system which can meet the demands of opinion mining. However, common crawler systems concern more about ranking and recommendation algorithms, which is less important in opinion mining. In this article, we introduced the design and implementation of a distributed crawler system for opinion mining. We also introduced some extra parameters such as keywords count and published time into the ranking and refreshing strategies. Experimental results demonstrate that the system can well support different sites, and the improved strategies can greatly enhance the crawling and monitoring efficiency.
Smart Fan Design Based on PSoC
Authors: Cui Rui Xue , Zhao Hai Long , Chen Gang , Guo Chen Guang
Published: August 2013

With our life becoming increasingly intelligent, The smart home is complies with the development of the era and plays a positive role in the intelligent life.Thus a kind of smart fan, based on PSoC, comes into being. The design, whose main control chip is PSoC, achieves many functions, like the switch between manual control and temperature control, natural wind and other functions with the support of external auxiliary circuit and wireless remote control. The design is much more valuable because of the perfect development prospects of PSoC and smart home.
Two-Dimension Nonlinear Optimization Method for Parameter Inversion of Elliptic Equation
Authors: Qian Yun , Liu Xiang Guo
Published: August 2013

The paper researches the parametric inversion of the two-dimensional ellipse equation by means of non-linear optimization method, draw a Numerical Solution for such inverse problem. It is shown by numerical simulations that the method is feasible and effective.
Angle Measurement for Meter-Wave Radar Based on Mainlobe Multipath Jamming Suppression
Authors: Zhao Ying Jun , Li Rong Feng , Wang Yong Liang , Liu Wei Jian
Published: August 2013

When detecting low-attitude targets, the angular accuracy of the meter-wave radar will descend because of the multipath reflecting from ground. Since the multipath signal can be regarded as a multipath jamming coming from the mainlobe, we propose an angle measurement based on the mainlobe multipath jamming suppression. The weight of the new approach is obtained through certain constraints on the sum-difference beams, which can suppress the jamming and keep the curve of the monopulse ratio unchanged. Then form sum-difference beams and calculate the ratio of the monopulse ratio of the target. Finally, obtain the angle of the target through the determination of the smallest difference between the monopulse ratio of the target and the quiescent monopulse ratio. The method proposed in this paper can preserve good precision of the measurement angle. The result is verified by computer simulation.
Web Page Data Collection Based on Multithread
Authors: Liu Wen Tao
Published: August 2013

The web data collection is the process of collecting the semi-structured, large-scale and redundant data which include web content, web structure and web usage in the web by the crawler and it is often used for the information extraction, information retrieval, search engine and web data mining. In this paper, the web data collection principle is introduced and some related topics are discussed such as page download, coding problem, updated strategy, static and dynamic page. The multithread technology is described and multithread mode for the web data collection is proposed. The web data collection with multithread can get better resource utilization, better average response time and better performance.
Functional Link Artificial Neural Networks Filter for Gaussian Noise
Authors: Guo Yuan Hua , Huang Chun Lun
Published: August 2013

In this paper, FLANN(functional link ANN) filter is presented for Gaussian noise. FLANN is a singer layer with expanded input vectors and has lower computational cost than MLP(multilayer perceptron). Three types of functional expansion are discussed. BP(back propagation algorithm) for nonlinear activation function and matrix calculation for identical activation function are exploited for training FLANN. Simulation shows that convergence is not guaranteed in BP and related to the initial weight matrix and training images, and that linear FLANN trained by matrix calculation performs better than both nonlinear FLANN trained by BP and Wiener filter in detail region in environment of Gaussian noise
Bayesian Networks Application in Multi-State System Reliability Analysis
Authors: Zhai Sheng , Lin Shu Zhong
Published: August 2013

Aiming at the limitations of traditional reliability analysis theory in multi-state system, a method for reliability modeling and assessment of a multi-state system based on Bayesian Network (BN) is proposed with the advantages of uncertain reasoning and describing multi-state of event. Through the case of cell production line system, in this paper we will discuss how to establish and construct a multi-state system model based on Bayesian network, and how to apply the prior probability and posterior probability to do the bidirectional inference analysis, and directly calculate the reliability indices of the system by means of prior probability and Conditional Probability Table (CPT) . Thereby we can do the qualitative and quantitative analysis of the multi-state system reliability, identify the weak links of the system, and achieve assessment of system reliability.
Data Fusion and Bayes Estimation Algorithm Research
Authors: Gai Yu Lian , Wang Ya Ping
Published: August 2013

This paper starts from the prospective of data processing and use of information, analysis the meaning and realistic background of processing integrated data by using Data Fusion technology. On the basis of a clear basic idea and principle theory of Data Fusion, studies and discusses its hierarchical levels from three aspects. A relatively comprehensive description of Data Fusion process is given in the paper. Incorporate with the description of the basic principles and ideas of Bayes estimation algorithm, identifies the limitation of Bayes estimation algorithm. The practical significance of Data Fusion technology in dealing with information uncertainty and incompleteness are summarized.
The AS' Property and Policy of MANET Structure Tourism Network
Authors: Yuan Qin , Wang Yong
Published: August 2013

MANET(mobile ad-hoc network) is an independent NET AS SYSTEM, which has much difference with wired network. It does not depend on fixed main network ( but can be cooperated with main network). This article puts forward a kind of ASN structure during the design of MANET Tourism Network. So it solves the inadaptability between the net segmentation and combination in the MANET from wired ASN. It proves this MBGP can guarantee net MANET QQS in a simulated way.MANET is a kind of communication net with no central structure, which is contrary to the traditional wireless network with base station. It is also called self-organized net. The difference between MANET and wired autonomous network is that MANET gateway BGP agreement is very different from BGP agreement of wired autonomous network.
Emotional Interaction Agents in Intelligent Tutoring Systems
Authors: Sun Yu , Li Zhi Ping , Xia Yao Wen
Published: August 2013

A model of emotional interaction agents in intelligent tutoring systems is presented in this paper, and the functionalities of the key components of the agents are described. To improve the emotional interaction between learners and the system, a kind of emotional interaction agents which can deduce users emotional statues, provide helps needed, and mark emotional difficulty of the learned pedagogical units, is introduced and discussed in detail in order to improve pedagogical effects.
Research on Iterative Method in Solving Linear Equations on the Hadoop Platform
Authors: Liu Yi Di
Published: August 2013

Solving linear equations is ubiquitous in many engineering problems, and iterative method is an efficient way to solve this question. In this paper, we propose a general iteration method for solving linear equations. Our general iteration method doesnt contain denominators in its iterative formula, and this relaxes the limits that traditional iteration methods require the coefficient aii to be non-zero. Moreover, as there is no division operation, this method is more efficient. We implement this method on the Hadoop platform, and compare it with the Jacobi iteration, the Guass-Seidel iteration and the SOR iteration. Experiments show that our proposed general iteration method is not only more efficient, but also has a good scalability.
Development Scheme of Mobile Campus Information Integration Platform Based on Android
Authors: Hu Hong Xin , Cui Ming
Published: August 2013

This paper reports on the design of software based on Android operating system, which enables smart phone, tablet PC and other devices to communicate with WEB server through the network. The WEB server then sends the data got from connection with school shared database to Android client device in JSON way. Data synchronization is made on a regular basis between campus education administration systems, students and faculty systems, scientific research systems, library system and the shared database. Thus campus information inquiry and interaction can be achieved by mobile devices such as Android smart phone or tablet computer.
Resource-Sharing Construction of Area E-Government Information Based on Cloud-Computing - Taking Hebei Cangzhou as an Example
Authors: Huang Lin Na , Gu Bao Guo
Published: August 2013

Cloud computing, with superior computing power, low-cost and high-security, will be applied to the resource-sharing area of E-government information with great significance and value. From the point of theory, technology and practice, it is scientifically feasible to build a cloud-based E-government information resource-sharing platform, and some areas are actively building this. This paper, through analysis of the problems existing in Cangzhou E-Government and through the design of the E-government cloud computing model, puts forward new ways to explore the development of regional E-government based on cloud computing.
Ontology Based Domain Resource Semantic Retrieval Model
Authors: Wang Shi Liu , Zhang Gong Jie
Published: August 2013

Retrieval technology has been widely used, but most of the current retrieval models are based on the logic matching of characters without considering users query requirements and objectives in semantic level, which makes the retrieval results deviate from the retrieval intention of users. Based on the knowledge organization ontology, a semantic retrieval model is proposed. The proposed model abstracts semantic vectors in the form of concept and attributes, and establishes formulas for semantic matching. Based on the proposed model, experiments are performed, and the feasibility and effectiveness are proved by the experimental results.
Research on the Security of Massive Data Storage
Authors: Zhai Guang Hui , Li Juan
Published: August 2013

Storage of massive data is receiving more and more attention in recent years and it has been widely used in many fields, meanwhile, its security is facing a great challenge, too. In this paper, we propose a distributed authentication protocol to ensure the security of massive data storage, this method utilizes Reed-Solomon codes to ensure the availability and reliability of data. In addition, it makes use of the Sobol sequences token to pre-calculate and verify the integrity of data. The proposed method can not only verify the correctness of the storage, but also recognize the server which executes wrong operation.
Research of POS Tagging Rules Mining Algorithm
Authors: Yin Shao Hong , Fan Gui Dan
Published: August 2013

Part of speech contains important grammatical information, so it has great significance for the natural language understanding while the words in the sentence are marked on the parts of speech. POS tagging rules based on statistical methods and rule-based method can mining effectively, but its marked accuracy need to be improved. This paper presents a statistical method and rules of the combination of speech tagging rule mining algorithm in order to improve the correct rate of marked.
The Existences of Frame Wavelet Set
Authors: Li Wan She , Zhao Hong Xia
Published: August 2013

In this paper, Let be a real expansive matrix, it mainly discusses the existences of frame wavelet set, we discuss the characterization of frame wavelet sets in, and several examples are presented, in order to deepen the understanding of frame wavelet set, which gives the two related theorems; we try to use an equivalent condition to describe frame scale sets, and give an equivalent description about a normalized frame scale set.
Active Defense Security Model in the Application of Network Deception System Design
Authors: Du Jia Wei , Zhang Xing , Zhou Ying , Bai Yong Qiang
Published: August 2013

As the traditional network defense is built on intrusion detection and passive protection, which is weak at dynamic response. The network deception technology in active protection is analyzed, and a network deception system based on active security model is proposed in this paper. This system implements a visual service of Honeypot as bait, analyses intrusion data and extracts new features and rules to enlarge the intrusion detection system feature library. The defense policies could be delivered real-time by management center. The problems of false alarm and leaking alarm for firewall or IDS are improved. And the limitations of single technology on the cooperation are overcome by linkage of Honeypot, firewall, IDS and router. The efficiency of unknown intrusion detected is increased.
Model of the Equipment Selection of Material Handling System for Large Ship
Authors: Zhang Yan Qiong , Huang Kai , Zhu Wei Feng
Published: August 2013

The handling equipment optimization problem of material handling system for large ships is discussed in this paper. The optimization models for two supply ways which includesshore-to-ship and vessel-to-vesselare proposed respectively, which are converted to linear programming problems in order to analyze large ship material supply handling system of equipment optimization.
3D Tree Modeling and Visualization Simulation Based on Fractal
Authors: Xu Xu Dong , Ye Jing Qing , Lv Guan Feng
Published: August 2013

In this paper, we propose a 3D tree simulation method which is based on fractal theory and combined with the morphological characteristics of trees. By modifying a few simple parameters we can achieve the realization of different types of 3D tree automated generation. According to the tree structure fractal self-similar characteristic, combined with the morphological characteristics of the trees, we abstract identified class to realize the description of each organs attributes and functions; Using random control function to improve the fractal iterative methods to make the generated trees more realistic; With the help of the developing platform of Visual C++ language and OpenGL, we can realize 3DTrees optimize modeling and visualization simulation. Experiments show that the method generates visually convincing results.
The Strategy of Ontology-Based Semantic Replica in Cloud Storage
Authors: Wang Shun Yan , Zhou Hai Tao , Wang Jun , Cao Fang Fang
Published: August 2013

With the development of cloud computing, cloud storage distributed the endless file system,but not a better copy strategy compatible with various file systems.This paper proposed ontology-based metadata replica which make different file systems mutual fusion ,and give a policy of replica allocation of low-load access .
Research in Wellbore Display Platform Based on Virtual Reality
Authors: Li Hui , Pan Jun Hui
Published: August 2013

Virtual reality technology is applied to production engineering, it provides a revolutionary change to the oil industry. This paper we first analyze the function of simulation platform, then set up basic framework of the system, use 3dsmax and simulation software to simulate wellbore, oil-gas-water mining equipment. Virtual environment in well site is constructed, it simulates the underground work process, and it can dynamically assemble the wellbore by the 2d drawing tools. This platform lets users realize functions that is from design to production engineering simulation process, users can fully master the oil production equipment and control the latest information of the oil wells.
Challenges on Coordination for Cyber-Physical Systems
Authors: Sun Meng
Published: August 2013

Cyber-physical systems integrate computing and communication with monitoring and control of physical entities. The complex interaction with the physical world makes coordination models and languages very important for the analysis, design and development of cyber-physical systems. This paper discusses several new challenges on coordination models and languages in the context of the emerging phenomenon of cyber-physical systems.
Design and Implementation of Reconfigurable Encryption and Decryption System Based on SOPC
Authors: Zhou Qing Fang , Huang Qian , Yuan Ying , Yang Jun
Published: August 2013

The system is based on DES/3DES, AES cipher algorithm as the research object.According to the characteristics of the algorithm, designs a configuration mode which can share resource in space and configurate algorithm in time. Then it uses hardware description language Verilog HDL to realize and optimize the design, and completes a custom reconfigurable DES/3DES/AES encryption/decryption IP core. By SOPC technology, the IP core, Nios II processor, network controller and other function. The design hardware structureis simple, flexibility, security, which can be widely used in the field of informationsecurity.
3D Visualized Technique for Coalbed Methane Integrated Surface and Underground Drainage
Authors: Du Xin Feng
Published: August 2013

According to the different features of 3D elements in the coalbed methane (CBM) surface and underground drainage system in the coal mining area, and adopting the 3DMAX static modeling of the drainage equipment and the dynamic modeling of the geological body based on the borehole data, the 3D model of the CBM drainage element in coal mining area is realized. Applying the techniques such as the original data analysis to control the accuracy of the interpolation algorithm, and the blanking and cutting of the window, the visualized functions of the 3D elements such as the multiple-angle observation, magnification, roaming, rotation, translation, stack, peel, transparency and texture treatment are realized.
Application of a Dynamic Collaborative Learning Oriented Knowledge Model
Authors: Shi Jian Hui , Liu Li Hua
Published: August 2013

Collaborative learning is becoming a very important teaching mode in course teaching. This paper puts forward a dynamic collaborative learning oriented knowledge model and course teaching mode, and then designs the process of course teaching. Different leaning modes are used for different kind of course knowledge to fulfill the collaborative leaning and personalized individual leaning.
SAR Image Classification Based on Brushlet and Self-Adaptive Ridgelet Neural Network
Authors: Zheng Nan , Tan Hai Feng
Published: August 2013

Aiming at the defect that BP neural network classification model takes a long time for network training and the condition that wavelet network model lacks of direction information description, the paper presents a method for SAR image classification based on Brushlet and self-adaptive ridgelet neural network. The method extracts the energy and phase feature of SAR image texture through the Brushlet transformation, and inputs the feature vector that describes the energy and phase information into self-adaptive ridgelet neural network for training and classification. The contrast experiment indicates that the classification method proposed in this paper is rapid and accurate, and outperforms the traditional methods.
Study on Personalized Recommendation Technology of Digital TV Programs
Authors: Wang Xiao Bin , Wang Qing Jun
Published: August 2013

This paper aims at one of key technologies in digital television development ---intelligent personalized recommendation technology of digital TV programs for study. This paper proposes to take advantage of ample TV-Anytime to describe metadata so as to perform specific plans of guide service for TV programs based on TV-Anytime metadata specification. It combines technology such as data mining and artificial intelligence etc with a view of building a personalized TV program recommendation system on the framework of the multi-agent. Besides, a hybrid algorithm with content filtering and collaborative filtering based on the systematical recommendation algorithm has been put forward. In order to overcome the deficiencies of traditional collaborative filtering algorithm which relies on users explicit evaluation, the paper represents an improved algorithm with the footing of content collaborative filtering.
In C Language How to Use Pointer to Access Two-Dimensional Array Element
Authors: Bai Wei Qing
Published: August 2013

In C language, it is difficult to use the pointer to access the two-dimensional array element. The reason is the addresses of two-dimensional array are many, pointers that can access the two-dimensional array element are many and complex. This paper analyzes the two-dimensional array address and pointer, introduces various forms of using pointer to express two-dimensional array element, explains the relationship between pointer and two-dimensional array address. The program examples show how to use pointers to access the two-dimensional array element.
A Novel Method for Perception and Map Construction of Environment Information Based on Laser Range Finder
Authors: Zhu Wen Jie , Wang Guang Long , Gao Feng Qi , Qiao Zhong Tao , Li Ji Chen
Published: August 2013

A method for perception and map construction of the unknown environmental information is described in this paper by analyzing and processing the data measured by laser range finder (LRF). The structure of the laser range finder, the structure of its returned measurement data, its working principle, and communication protocol are presented. The physical meaning of the data are studied and illustrated as well as its representation methods. The corresponding algorithm routine and the GUI interface program are introduced. Experiments are conducted to verify the range finding accuracy of the sensor and the data visualization method is also introduced. Results indicate that the proposed method is sufficiently valid and can satisfy the desired requirements.
An Fuzzy Petri Net Model of Accident Evolution Process of Coal and Gas Outburst
Authors: Ma Li
Published: August 2013

This article has proposed an accident evolution model of coal and gas outburst on the basis of fuzzy production rules, because the coal and gas outburst accident has the characteristic of fuzziness and uncertainty. Firstly, adverse searching method is used to reduce the initial model so as to decrease the size of the inference network and accelerate reasoning rate. And then fuzzy inference is carried out by use of parallel inference algorithms of great algebra in order to ensure more accurate infer conclusions. At the end of this article, the validity of the model is verified by an engineering example. From the conclusion, it can be found that this model can well simulate the status and role of a number of risk factors during the whole coal and gas outburst accident evolution process.
A Novel Fingerprint Matching Algorithm Based on Compatible Multi-Area Alignment
Authors: Fan Dong Jin , Wang Li Dong
Published: August 2013

Most minutiae-based matching algorithms consist of two phases, local match and global match. In the local phase, some corresponding pairs are obtained by comparing the affine-invariable features of minutiae. And then two images are aligned based on the candidate pairs. However, some spurious candidate pairs and the large nonlinear deformation in images lead to the failure in global match. In this paper, we proposed a novel minutiae-based matching scheme which insert a filtering step after the local match to discard the incompatible pairs and renovate the global match by dividing the whole image into small areas according to the location of the candidate pairs. Results on databases of FVC2004 validate our algorithm.
Adaptive Learning System Designed and Learning Program Optimization Algorithm
Authors: Liu Chang Ming , Sun Yan Jun , Li Hai Yu
Published: August 2013

Adaptive learning system has been developed maturing. But the formulation and selection of learning scheme in the learners' personality characteristic mining is still not satisfactory. The adaptive learning scheme with specific learner characteristics personalized will have positive effect for the learner on learning effect. The emergence of adaptive learning system based on network, making the learning is no longer affected by time and space restrictions, and the teachers teaching mode is changing to students' learning mode. The prior paper had given a brief introduction for adaptive learning system. Then in this paper we will focus on the designed theoretical knowledge of the adaptive learning system and give the design scheme.
A Novel Multi-Objective Evolutionary Algorithm for Portfolio Selection
Authors: Huang Lin Feng
Published: August 2013

Portfolio selection is a problem arising in finance and economics. While its basic formulations can be efficiently solved using linear or quadratic programming, its more practical variants have to be tackled by heuristics in many cases. In this work, both portfolio return and risk factors need to be considered, so it is abstracted as a multi-objective 0/1 knapsack problem and solved by a novel multi-objective evolutionary algorithm based on SPEA2. Experimental results show that the multi-objective optimization to solve the portfolio problem can better reveal the relationship between benefits and risks, to provide investors with a better basis for decision making.