bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Simulation of Flash Floods Routing Based on Improved Leap-Frog Method
Authors: Zhang Jia Hua , Zhang Chi
Published: August 2013

in the 2-d numerical simulation of flash flood disaster, due to flood often occurred in the steep terrain and water flow rapidly changed, lead to that the calculated value is unstable and even the calculation diverge in the simulation. This paper presents a grid outflow correction method, which is based on the leap-frog finite difference format, through modifying the outflow rate of the grid circularly, to ensure the mass conservation in the whole process of computing. In the local dam bursting model, the simulated result comparison of the grid outflow correction method and the algorithm of implicit alternating direction on the mass conservation shows that, the new method can ensure the simulation accuracy and the numerical stability under the condition of steep terrain and moving boundary. According to the proposed method, the simulation analysis in the process of extreme flash flood disasters which happened in 2010 Zhouqu county in Gansu province was carried out. The comparison of simulation results and remote sensing estimation results shows that the deviation of the flood evolution time, speed and impact height are within 5%, and the consistency of evolution path is good, which verifies the validity of the algorithm.
An Introduction to Viewpoint Selection in Volume Visualization
Authors: Xu Xin Li , He Bing
Published: August 2013

Scientific researches are always accompanied with a large number of complex data. Thus, it is important to view and analysis these data or objects in a much more efficient way. Viewpoint selection can improve both the speed of rendering and the efficiency of data understanding, became a hot topic in research, and is applied to various research areas. Viewpoint selection considerably influences the amount of information contained in the projected images, has been extensively studied in many areas such as: volume rendering, image-based modeling, object recognition, etc. most of the studies utilizing the information theoretical framework. This paper reviews the relevant literatures on this topic by summarizing the development and application of the technology, and put forward some ideas for future development.
Study on Mobile Learning Platform Based on Wireless Communication
Authors: Huang Xian Ying , Cao Qiong
Published: August 2013

The rapid development of mobile technology has brought the change of learning. Mobile learning refers to a new kind of learning for the use of wireless communication technologies and mobile equipments to obtain the educational information, resources, and services. The framework of mobile learning system using wireless communication technology is proposed, a mobile learning support system with multiple wireless terminals is implemented which customs communication protocol to communicate with each other and uses multi-threading technology. The server push learning content to the terminal, learners receive information or to send information to the server through wireless terminal, to feedback information and interaction, and server processes terminal information, data analysis, and then sent to the learner. The system can be applied to a variety of mobile learning occasions, the application shows that the effect of the system effectively reduce the learning environment, and to increase the participation and interest of the learner, improve learning efficiency and learning outcomes.
The Typing Test System Based on Network
Authors: Li Yao Hui , Yuan Mei Jin , Wang Jian Xiong , Zhou Li Li , Yang Ke Jian
Published: August 2013

A new idea about realizing the typing exam system was proposed. The exam system is based on network. It takes full advantage of the Browser/Server model, such as the strong interaction, high rapidity, security and the strong share. The exam system is developed with ASP. It is simple to install, easy to use and full-featured. Through the practical application, it is found that the exam system is satisfied the requirements of typing exam. There is not report of similar software up to now.
Wavelet Image Denoising Based on the New Threshold Function
Authors: Tang Hui , Liu Zeng Li , Chen Lin , Chen Zai Yu
Published: August 2013

A new threshold function was proposed to overcome that hard threshold function is not continuous, soft threshold function has constant deviation and derivative discontinuity defects. It will be applied to using different thresholds denoising method with different decomposition level based on the D.J global threshold. Experimental results shows that the denoising result of new threshold function is superior to the traditional soft and hard threshold function in minimum mean square error (MSE) and peak signal to noise ratio (PSNR).
Design and Implementation of Enterprise the Reimbursement Management System Based on SSH Architecture
Authors: Liu Gui Jun , Yang Chun Shan
Published: August 2013

t is based on c/s and b/s mode for traditional enterprise claims management system, system level architecture is unclear, invasive, and reusability lower defects, and increases the workload and complexity of management. In view of this, uses the MVC pattern and the SSH technology, build tiered architecture, Enterprise claims management system the separation of business logic and control logic, on the basis of design and implementation based on B/S model of enterprise claims management system. Practical application shows that enterprise claims management system framework based on SSH hierarchy clear, reduce the degree of coupling between modules, improved granularity of reuse, enhanced system modules can be reused, flexibility, and maintainability
Research of SOA-Based Data Exchange Platform
Authors: Zhang Qian Zhong
Published: August 2013

omplexity and versatility of problems encountered in the process in order to improve the traditional data exchange platform, "Proxy + server "loosely coupled mode data exchange platform system, system using a messaging service to solve complex interactive control information in the data exchange process. Solve the data exchange process in a variety of data transmission and efficient mutual use of data transmission services. System implementation process draws on SOA architecture Thought, part of the using of the core technology of SOA, Clear hierarchy of the system. Has good versatility and maintainability, greatly reduce the difficulty of system development.
Construction of E-Government System Framework Based on the Information Resource Sharing
Authors: Lu Ying
Published: August 2013

Due to the implementation of information technology and the various e-government new businesses, e-government system has generated a lot of valuable information resources as well as a large amount of redundant information. Information sharing can save the cost of information collection, and the collected information can be used by many a government agency. Based on the sharing of information resources, an e-government system framework is design in the paper at three levels, namely, network infrastructure, information resources, and data exchange platform.
Spatial-Temporal Data Model on Emergency: A Review
Authors: Pan Jian Hong , Lin Qin , Cao Chen Jie
Published: August 2013

Based on the integration of space and time, TGIS system is the most important cornerstone for emergency rescue, while the spatial-temporal data model, in turn, is the vital foundation of TGIS. In recent years, various kinds of spatial-temporal data model have been developed. Consequently, this paper is trying to launch a research on the classification of these models and try to propose a discussion of models, including simple models, Space-time composites, models based on object and feature, and models based on object and feature. Meantime, the adaptability of the four types of models is also discussed in the paper, which shall provide reference for emergency space-time sequence and spatial-temporal data mining.
The Nearest Neighbor Algorithm of Filling Missing Data Based on Cluster Analysis
Authors: Zhang Chi , Kai Jin , Feng Hong Cai , Yang Tin
Published: August 2013

Missing data universally exists in various research fields and it results in bad computational performance and effcet. In order to improve the accuracy of filling in the missing data, a filling missing data algorithm of the nearest neighbor based on the cluster analysis is proposed by this paper. After clustering data analysis,the algorithm assigns weights according to the categories and improves calculation formula and filling value calculation based on the MGNN (Mahalanobis-Gray and Nearest Neighbor algorithm) algorithm.The experimental results show that the filling accuracy of the method is higher than traditional KNN algorithm and MGNN algorithm.
Sentiment Orientation Classification of Webpage Online Commentary Based on Intuitionistic Fuzzy Reasoning
Authors: Li Xiao Feng , Li Dong
Published: August 2013

An approach of sentiment classification for online comments based on intuitionistic fuzzy reasoning is presented on the basis of the analysis of characteristics of sentiment classification. The approach employs membership function, non-membership function and hesitant function to depict uncertainties of features, quantitatively, by sample training, as well as sentiment expressions influenced by adverbs of degree, conjunctions and negative words are considered. Then the semantic orientation of a text is synthesized on the level of phrases, sentences and texts in sequence by means of aggregations of intuitionistic fuzzy information of features. The presented approach obtains high precision and recall when test using public corpus
Difference Curvature Driven Anisotropic Diffusion for Image Denoising Using Laplacian Kernel
Authors: Wang Yi Yan , Wang Zhuo Er
Published: August 2013

Image noise removal forms a significant preliminary step in many machine vision tasks, such as object detection and pattern recognition. The original anisotropic diffusion denoising methods based on partial differential equation often suffer the staircase effect and the loss of edge details when the image contains a high level of noise. Because its controlling function is based on gradient, which is sensitive to noise. To alleviate this drawback, a novel anisotropic diffusion algorithm is proposed. Firstly, we present a new controlling function based on Laplacian kernel, then making use of the local analysis of an image, we propose a difference curvature driven to describe the intensity variations in images. Experimental results on several natural and medical images show that the new method has better performance in the staircase alleviation and details preserving than the other anisotropic diffusions.
Research of Modern Information Technology on Tree Growth Management Decision Making Model
Authors: Li Yuan , Zhang Wen Qing , Liu Hua , Yang Hui Qin , Liu Xu Ning
Published: August 2013

Tree growth management decision-making model can simulate growth management of tree and perform quantitative analysis of tree growth conditions. This paper explores the feasibility of modern information technology in management assessment of tree growth, information technology include neural network, ontology and expert system technology, then ontology technology is used to establish ontology database and knowledge base of tree growth management resource, the growth simulation and tree growth management ontology technology are used to build simulation models of tree growth, then expert systems and neural network technology are combined to simulate tree growth development process of decision-making model. The practice has proved that the research can not only predict the growth conditions of tree and dynamic grasp the growth process of the tree, but also can provide theoretical basis for the analysis and evaluation of tree growth management, greatly improving the level of tree growth management.
Distributed Trust Management Mechanism for the Internet of Things
Authors: Wang Jing Pei , Bin Sun , Yu Yang , Niu Xin Xin
Published: August 2013

Trust management provides a potential solution for the security issues of distributed networks. However, there are rare researches about the trust mechanism for IoT in the literature. A new distributed trust management mechanism for IoT is established in this paper. Firstly, we extract three basic elements-service, decision-making and self-organizing, of trust management from the investigated trust solutions. Then, based on a service model, we establish a trust management frame-work for the layered IoT, which is decomposed into three layers: sensor layer, core layer and application layer. Finally, we use fuzzy set theory and formal semantics-based language to perform the layered trust mechanism. The proposed trust conception, layered service model and formal method provide a general framework for the study of trust management for the IoT, and further provide a significant reference for the development of sound trust models for IoT.
Protecting the Security and Privacy of the Virtual Machine through Privilege Separation
Authors: Yu Cong , Li Li Xin , Wang Kui , Yu Wen Tao
Published: August 2013

Virtual machine security issues have been the focus of attention. The permissions of traditional administrative domain Dom0 are too large, so that the user's privacy is threatened. Once the attacker compromises Dom0, it can threaten the entire virtualization platform. This paper introduces a privilege separation virtual machine security model (PSVM). Dom0s privileges are split into two parts: the operations about the user's privacy form a DomU management domain, responsible for managing the user's privacy; remaining forms Thin Dom0. Users and virtualization platform for server-side need mutual authentication. It can prevent unauthorized users and counterfeiting Virtualization platform invading system. The user's privacy is under its own management to prevent the Virtualization platform snooping. However, it affects only one user, even if the management domain is compromised. Combined with the model, the prototype system is implemented and security analysis and performance testing is done.
Optimization of History Tree in 3DR-Tree Index Structure
Authors: Zhang Zhi Tong
Published: August 2013

Many optimizations have been done to 3DR-tree index structure and many opinions have been proposed. Modification by splitting mechanism is one of them. There are two index trees in 3DR-tree index structure after modification: one is a history tree for past data storage and the other is an active tree for current data storage. In this article, optimization of history tree is firstly done and is proved theoretically. Then a correspondent insert algorithm is designed.
Optimization for Coal Heavy Haul Transportation Assembly Scheme Problem Using Genetic Algorithm
Authors: Han Xue Song , Gu Zheng Hong
Published: August 2013

Thispaper presents aCoal Heavy Haul Transportation Assembly Scheme Problem (CHASP), in which the time consuming functions, assembly number constraints and assembly weight constraints etc are considered. The time consuming costs consist of residence time and disassembly time. The disassembly time functions are usually nonlinear functions of unit train departure directions. Then, a nonlinear 0-1 programming is formulated for the problem and solved by lingo mathematical solver. Considering the complexity of the problem, a kind ofGenetic Algorithm is proposed to solve it. Extensive computational experiments are taken on randomly generated data, the detailed results are given and the genetic algorithm is shown to be efficient.
Eigenvalue Decomposition Based Modified Newton Algorithm
Authors: Wang Wen Jun , Zhu Ju Bo , Duan Xiao Jun
Published: August 2013

When the Hessian matrix is not positive, the Newton direction maybe not the descending direction. A new method named eigenvalue decomposition based modified Newton algorithm is presented, which first takes eigenvalue decomposition on the Hessian matrix, then replaces the negative eigenvalues with their absolutely values, finally reconstruct Hessian matrix and modify searching direction. The new searching direction is always the descending direction, and the convergence of the algorithm is proved and conclusion on convergence rate is presented qualitatively. At last, a numerical experiment is given for comparing the convergence domains of modified algorithm and classical algorithm.
Noether Theorem of a Kind of Singular Integral Equation with Hilbert Kernel on Closed Contours
Authors: Cao Li Xia
Published: August 2013

We considered a kind of singular integral equation with Hilbert kernel on closed contours. By using the method of complex functions, we obtain the extended Plemelj Formula with Hilbert kernel, and based on this, we obtained the related conditions of solvability and the general solution for the characteristic singular integral equation with Hilbert kernel on closed contours.
A Topic Study of Microblog Based on Specific Events
Authors: Zhou Zhen Yu , Li Fang
Published: August 2013

This paper describes the study of topics on microblog based on specific events. First, we use a famous topic model LDA to extract topics from microblog about events. Then, we propose three indexes: Attention Factor (AF), Evolution Factor (EF) to see the performance of microblog topics and Diversity Factor (DF) to calculate the divergence of topics from microblog and news reports. Finally, we choose corpuses for four events to study. The experiments show that, on specific events: 1) There are more critical topics, while factual topics less, and both of them get close AFs. 2) Critical topics last long on microblog and have lower EFs, which means their contents vary little, but factual topics last intermittently and their contents vary greatly. 3) To compare with the same events from news reports, critical topics use totally different words, but factual topics use close words.
Research of Sign Language Synthesis Based on VRML
Authors: Yu Shi Cai , Lu Rong
Published: August 2013

Sign language is to help the deaf and normal hearing people natural communication and computer assisted instruction. Through the analysis of language features, and proposed one kind based on the VRML human body modeling and virtual human based on context of gesture smoothing algorithm, thus the sign language synthesis research and implementation.
Volume Rendering Method for Spatial Seismic Data Based on GPU
Authors: Duan Zhong Xiang , Li Guo He
Published: August 2013

Volume rendering is one of the focuses in the research and application of computing visualization. On basis of the spatial data volume formally defined,principles and methods are introduced on the division of volume data, computation of resampling and composition of image in the ray casting algorithm. By resampling and compositing with shader, the algorithm is successfully improved in performance by GPU. The application of the algorithm in seismic interpretation is implemented for visualization of spatial seismic data in gray and pseudo-color and a transfer function is designed to highlight the characteristics of stratums in seismic data field, overcoming limitations in the visualization of profiles, slices and surface rendering of seismic data.
A User-Friendly Building Energy Consumption Program
Authors: Jia Yi Long , Jin Jian Xiang , Zhou Xuan Hao
Published: August 2013

Building energy simulation program plays an important role in reducing energy consumption for heating in North China. For the past 60 years, a wide range of building energy simulation programs have been developed. However, in China, building energy simulation programs are not popularized smoothly because of the problems such as unfriendly interface, complex usage and excessively specialized. This paper presents a new building energy simulation program with B/S structure. As a collection of building energy simulation and economic analysis, this program can be accepted by the professionals and non-professionals due to its accuracy and easy operation.
The Design and Implemention of Subjective Questions Automatic Scoring Algorithm in Intelligent Turtoring System
Authors: Xia Yao Wen , Li Zhi Ping , Lv Sai Dong , Tang Guo Hua
Published: August 2013

Automatic subjective question of marking is a key technology in the network test system. In order to solve this problem, this paper analyzes the grading teachers thinking reviewers subjective questions. Then introduce the concept of a one-way approach degree based on the nearness theory of fuzzy mathematics. Finally design a subjective question automatic scoring algorithm and give a specific algorithm achievement. It provide certain reference value of automatic scoring of subjective questions.
The Complex Blind Deflation Algorithm Based Particle Swarm Optimization with Survival of the Fittest Mechanism
Authors: Zhao Wei , Dong Chun Peng
Published: August 2013

For multi-constraint nonlinear optimization, this paper puts forward a complex blind deflation algorithm based particle swarm optimization with survival of the fittest mechanism (CBD-PSOSFM) which has faster convergence speed, and then gives a quantificational formula of the improved convergence speed, discusses implement method and the rule of parameters design; Because of the blind source separation (BSS) optimization characteristic in nature, the algorithm can be used to implement semi-BSS with nonlinear multi-constraint. For active object echo detection, the paper sets up fitness function with the multi-constraint like as kurtosis, energy and outline and forms the complex blind deflation algorithm. Finally, the simulation experiment of blind deflation to complex echo validates the algorithms validity and faster convergence capability.
A Secured Distributed and Data Fragmentation Model for Cloud Storage
Authors: Wang Li Xuan , Liu Li Fang , Liu Shen Ling , Chen Dong , Chen Yu Jiao
Published: August 2013

The increasing popularity of cloud service is leading people to concentrate more on cloud storage than traditional storage. However, cloud storage confronts many challenges, especially, the security of the out-sourced data (the data that is not stored/retrieved from the tenants own servers). Security not only can keep the data from attacking but also can recover the original data after attack efficiently. Thus, to address the security issue, we proposed a new distributed and data fragmentation model of cloud storage named DDFM (Distributed and Data Fragmentation Model). DDFM aims to provide tenants a secured and integrated cloud storage service with layer-to-layer protection strategy. The layer-to-layer protection strategy of our model includes three main algorithms: the Authentication and Authorization Management Algorithm based on OpenID and OAuth, the Data Fragment Algorithm based on Granular Computing and the Haystack File Storage Algorithm. Considering tenants' security requirement our model DDFM based on these algorithms provided a better decision of cloud storage architecture for our tenants. Furthermore, DDFM can defense most of the network threats and provide a secured way for the third-party applications to access sensitive information that stored on the cloud storage.
Equipment Maintenance Support Analysis Model Based on Field-Theory
Authors: Wu Wei Yi , Gu Ping , Liu Jie , Liu Bin
Published: August 2013

At present military activities have been influenced deeply by the information revolution, in the same way the equipment support activities are confronted with tremendous challenge and many problems appeared. The equipment support ability is not satisfied with its target in the traditional method along with in-depth research, so needed to quest for a new research angle of view. Through the investigation of electric-particles' movement in physics field, a field-theory point of view from the comparability between the electric-particles and the equipment support elements is introduced which based on spatial distributing of equipment support elements around battlefield and characteristic of support activities. Moreover, the theory and method of the field-theory in the transfer of the support element and energy in support activity is described as the basic for the next application research. The appropriate combination between the natural science and military science has the important meaning for enrichment and development of equipment support theory.
A Method of Detecting Deformation of Aluminum Profile Modular Gripper
Authors: Wang Jian Qiang , Wang Zhong Hua , Zhu Lu Sheng , Yang Jian , Cheng Zi Wen
Published: August 2013

With high volume and flexible automated production line becoming the future trend of automobile welding line, the modular gripper, as the role of the robot tool, is finding increasing application. This article concluded the deformation formula by detecting bending and torsion deformation of aluminum profile in tests and also provided guidance and rationale for designers.
Application of Multimedia and Network English Teaching in Multiple Intelligence Development
Authors: Han Zhao Xu , Wang Wei
Published: August 2013

Based on Howard Gardner s Multiple Intelligence theory, this paper puts forward that college English teaching assisted by multimedia technology and network could promote multiple intelligence to the greatest extent. By taking advantage of students-center, teachers-mediator, task-base drive, constructivism approach, network support, extra-curriculum assist, which all contribute to multiple intelligence development, both college English teaching and multiple intelligence are bond to obtain its best effect.
Design and Application of a Network Security Model
Authors: Xu Shi Ping , Zhang Yu Han , Zhou Ying , Bai Yong Qiang , Fu Hai Peng
Published: August 2013

This paper analyzes the deficiency of P2DR security model, and proposes a kind of new active dynamic security model AD-RPPDRRM, in which risk analysis, management and recovery are imported. On the basis of this model, basic technologies used to implement the defense in depth system are discussed. At last, a defense in-depth system of a typical network is given.
Study on Object Slight Displacement Measure Using Digital Image Hologram Method
Authors: Yang Kun , Li Peng , Tang Yan Kun , Zhai Yan Nan , Zhang Hui
Published: August 2013

Digital image hologram and double exposure method is used to measure displacement of an object in this paper, the intensity of object light has been increased effectively, the contrast of interference fringes has been improved, clear interference fringes has been gotten. A new method has been proposed that CCD and EALCD are applied in order to record the digital hologram and interference fringes, the drawback is avoided successfully that fixing, relocation and nonlinear recording of traditional hologram recording material are. Better experimental effect is achieved.
The Application of Web Mining in Distance Education Platform
Authors: Liao Yuan Yuan
Published: August 2013

Although the rapid development of the modern distance education, there is still some shortcomings. In order to overcome these shortcomings and use a large number of data in these remote teaching sites effectively, it is necessary for the introduction of data mining technology to the modern remote education system. The paper introduced distance education system based on Web mining, and how data mining of these distance education website.Modern distance education is the common trend of the development of education in the world. With the development and application of satellite and cable TV, as well as a variety of electronic communications technology, especially with the advancement of the global computer network and multimedia technology, many universities have established distance education platforms. Because of a large number of students, we are relative lack of educational resources nowadays. For this reason, our country is actively developing modern distance education and integrating the various types of educational resources by advanced information technology and educational technology.
Webpage Tamper-Resistant Strategy Based on File System Filter Driver and Event-Triggered
Authors: Wang Zhen Qi , Wang Wei Ping
Published: August 2013

In order to develop a more practical, higher security and less time-consuming webpage tamper-resistant system, we proposed a webpage tamper-resistant strategy on the basis of original tamper-resistant strategies and technologies in the paper. This strategy adopted the file system filter driver and event-triggered technology. It also controlled users writing operations through the file filter driver of the bottom of the system, which can efficiently and actively prevent attackers illegal tampering. At the same time, it had also set up a monitoring module. The monitoring module and the tamper-resistant module formed a self-protection mechanism of the ring. Therefore, the strategy can greatly improve the security of system.
A New Method Based on Undirected Graph and Polygon Triangulation to Prove the Four-Color Theorem
Authors: Xue Geng , Liu Hui , Li Shi Xian , Chen Wei
Published: August 2013

The development of computer science and plane geometry brings a new favorable opportunity for the research about the Four-color Theorem. After converting original map to undirected graph, this paper proposes a new method based on undirected graph and polygon triangulation to prove the Four-color Theorem.
Angle Estimation and Self-Calibration Using ISM and ESPRIT for Bistatic MIMO Radar with Gain and Phase Uncertainties
Authors: Gong Jian , Wang Huan , Li Zhi Long , Wei Lin
Published: August 2013

Most high-resolution angle estimation algorithms suffer from sensitivity to gain and phase uncertainties. In this letter, a novel ESPRIT-based algorithm, which uses the instrumental sensors method (ISM), is proposed for bistatic MIMO radar with gain and phase uncertainties. With the help of a few well-calibrated transmitting and receiving instrumental sensors, the proposed algorithm is able to achieve favorable and unambiguous angle estimation and accurate self-calibration without the knowledge of gain and phase uncertainties. Simulation results demonstrate the validity of the proposed method.
Effective Methods of Restoring Motion Blurred Images at Arbitrary Direction
Authors: Yin Jiang Yan
Published: August 2013

Recovery of degraded images due to motion blurring is a challenging problem in digital imaging. This paper presents a new method of Dirac Delta function algorithm to restore motion blurred images based on an analysis of the characteristics of the inverse filter method and the traditional algebraic method. Experimental results show that the new method is effective in performing motion blurred images at arbitrary direction restoration and extensively validated with different amount of noise in the images.
Design and Implementation of LAN-Sensitive Information Interception and Analysis System
Authors: Lin Shao Feng , Sun Wei Feng , Fan Lin Na , Wang Hua
Published: August 2013

The LAN usually hides internal network structure by NAT to share a public IP address in the internal network, and thus it is hard to locate the source host precisely distributing sensitive information for a large-scale information monitoring system by analyzing the intercepted packets. So it is hard to fulfill monitoring work efficiently. This paper puts forward a scheme to intercept and analyze the sensitive information in the LAN environment. It studies the ARP spoofing principle and the sniffer technology based on WINPCAP. The scheme includes 7 modules named NIC capture module, packet filtering module and so on. And it achieves sensitive information filtering and matching by the configured rules, such as "keywords", "URL", "QQ number" and so on. The scheme provides a solution for tracking the source host leaking sensitive information within the LAN.
Application of Binary System to Information Table Based on Rough Set
Authors: Li Mo Mo , Shang Yu , Guo Xiao Yong , Lu Jun Li , Feng Yan Bin , Duan Yan Qing
Published: August 2013

First the traditional objects-attribute information table converted into a objects-attribute-attribute value table by using binary. Then two new concept is defined in this paper: concept vector instead of elementary sets (the equivalence classes of R) and knowledge matrix instead of equivalence relation of R by using binary system. Put forward a new solution to the lower and upper approximations support subset on rough set by using concept vector and knowledge matrix. Examples also are given.
A Combinative Similarity Computing Measure for Collaborative Filtering
Authors: Guo Lin , Peng Qin Ke
Published: August 2013

Similarity method is the key of the user-based collaborative filtering recommend algorithm. The traditional similarity measures, which cosine similarity, adjusted cosine similarity and Pearson correlation similarity are included, have some advantages such as simple, easy and fast, but with the sparse dataset they may lead to bad recommendation quality. In this article, we first research how the recommendation qualities using the three similarity methods respectively change with the different sparse datasets, and then propose a combinative similarity measure considering the account of items users co-rated. Compared with the three algorithms, our method shows its satisfactory performance with the same computation complexity.
Fourier Transform Based GPU Acceleration
Authors: Li Jing Shen
Published: August 2013

In digital image processing, Fourier transform is an important algorithm of image transformation. In order to improve the speed of Fourier transform, the paper proposes to deal with the image with GPU parallel computing through the method of GPU accelerating MATLB. The relationship of data scale and calculation speed is analyzed through the traditional CPU serial operation and GPU parallel computing. Computer simulations verify that the calculation speed can be improved by GPU about large scale data.
Grade Exam Management System Design and Implementation Based on ADO.NET
Authors: Cao Shu Guo
Published: August 2013

The grade examination management program is various, workload is big, and efficiency is low. This paper on the basis of the existing educational system and the provisions of the state on the basis of grade examination system, developed a test management data transfer system based on ADO.NET technology, the heterogeneous data interconnection test process, the full realization of cyber source sharing, improving the efficiency of examination management. Through the introduction of test data of the design has been completed and mature and stable operation of the system, detailed description of the design and implementation, it has good application value.
Development and Implementation of WEB-Based Online Hotel Reservation System
Authors: Hu Ping , Gu Dong Xiao
Published: August 2013

The Internet accelerates the communication and understandings between people, which make information unprecedented important. Furthermore, it changes the way that people book rooms, which makes rooms-booking diversified, convenient, and individualized. Out of the demand of modern hotels and based on the B/S model, this paper analyzes and designs the hotel booking operation, and achieves the functions of register, login-in, reservation, customer management, and reservation management, and etc., in order to improve the efficiency of hotel reservation.
1 Grants: This study is financially support by the following foundations: Young Talents in Colleges of Anhui Province under Grant No. 2011SQRW107, National Natural Science Foundation of China under Grant No.70871032, and Humanity and Social Science Foundation of Ministry of Education of China under Grant No. 09YJA630029.
About the authors: Hu Ping (1979-), female, born in Jiujiang, Jiangxi Province, master, lecturer, her current areas of research interest includes E-Government, information system and managerial innovation. Contact: 13365609125 (0551-62158118), huping@hfuu.edu.cn, Department of Management at Hefei University, 373 Fairview Avenue, Hefei 230022, P.R. CHINBA
Optimal Boundary SVM Incremental Learning Algorithm
Authors: Cao Jian , Sun Shi Yu , Duan Xiu Sheng
Published: August 2013

Support vectors (SVs) cant be selected completely in support vector machine (SVM) incremental, resulting incremental learning process cant be sustained. In order to solve this problem, the article proposes optimal boundary SVM incremental learning algorithm. Based on in-depth analysis of the trend of the classification surface and make use of the KKT conditions, selecting the border of the vectors include the support vectors to participate SVM incremental learning. The experiment shows that the algorithm can be completely covered the support vectors and have the identical result with the classic support vector machine, it also saves lots of time. Therefore it can provide the conditions for future large sample classification and incremental learning sustainability.
SIFT Feature Extraction Algorithm for Image in DCT Domain
Authors: Wu Zhen , Xu Zhe , Zhang Rui Nian , Li Shao Mei
Published: August 2013

Image feature extraction is an important technology in image matching and retrieval. For the problem of high computational complexity of spatial domain image feature extraction using the SIFT algorithm, and by studying the relationship between DCT coefficient matrix and image, the paper designed the DCT coefficients reduced matrix of image and proposed the algorithm of SIFT feature extraction in DCT domain reduced image. Experiments showed that with the low loss of accuracy in image matching and retrieval, the method proposed can significantly improve the computational efficiency of feature extraction.
The Convergence of SaaS and SOA Magnify Effect
Authors: Jin Xiao Ye , Liu Xian Hui , Zhao Wei Dong
Published: August 2013

SaaS is a software distribution model in which customers can receive their special types of software application services from the SaaS provider via the Internet, the specified software can be ordered according to customers demand. SOA is a valid architecture pattern to provide integrated systems, applications and processes through the linking of services. With the help of SaaS model, distributed networked software services can be seamlessly integrated and deliver on-demand applications to customers. However, the benefit of SaaS can only be fully exploited if they leverage the SOA strategic framework technology. This paper does researches about recent SaaS, SOA and web services and proposes a new model to show how to combine SaaS with SOA. This combination makes it possible to efficiently develop loosely coupled SOA-based SaaS application. Moreover, in reverse, SOA can be enriched by this convergence.
A Study in the Technology Implementation of the Network Massive Information Processing Platform
Authors: Li Yue , Liu Ran
Published: August 2013

With the popularity and development of the network, the support of the high-performance computer technology becomes increasingly important as the huge information storage and the convenience of Information retrieval function of the internet that attracts more and more people join the netizens team. Therefore, I proposed an Information Processing Platform based on the high performance data mining in order to improve the Internet mass information intelligence parallel processing functions and the integrated development of the systems information storage, management, integration, intelligence processing, data mining and utilization. The propose of this system is to provide certain references and guidance for the technology implementation and realization of the high performance and high efficiency network massive Information Processing Platform as on the one hand, I have analyzed the key technology of the implementation of the platform, on the other hand briefly introduced the implementation of the RDIDC.
A Wavelet Neural Network Forecasting Model Based on ARIMA
Authors: Wang Bin , Hao Wen Ning , Chen Gang , He Deng Chao , Feng Bo
Published: August 2013

Stock index series is Non-stationary, Nonlinear and factors with impact on stock index fluctuation are complex, a time series forecasting model combined ARIMA model and wavelet neural network is presented. The combined model uses BP neural network as the main framework, uses wavelet basis function instead of transfer function in the network, also add some inner factors of the time series mining by ARIMA model, as the part impute of Wavelet Neural Network. So it is more scientific and rational that using inner factors and external other factors. The last simulate experiment shows that the wavelet neural network forecasting model based on ARIMA has higher accuracy than ARIMA model or BP network.
Fractal Structures of General Mandelbrot Sets and Julia Sets Generated from Complex Non-Analytic Iteration Fm(z)=z¯m+c
Authors: Yan De Jun , Wei Xiao Dan , Zhang Hong Peng , Jiang Nan , Liu Xiang Dong
Published: August 2013

In this paper we use the same idea as the complex analytic dynamics to study general Mandelbrot sets and Julia sets generated from the complex non-analytic iteration . The definition of the general critical point is given, which is of vital importance to the complex non-analytic dynamics. The general Mandelbrot set is proved to be bounded, axial symmetry by real axis, and have (m+1)-fold rotational symmetry. The stability condition of periodic orbits and the boundary curve of stability region of one-cycle are given. And the general Mandelbrot sets are constructed by the escape-time method and the periodic scanning algorithm, which present a better understanding of the structure of the Mandelbrot sets. The filled-in Julia sets Km,c have m-fold structures. Similar to the complex analytic dynamics, the general Mandelbrot sets are kinds of mathematical dictionary or atlas that map out the behavior of the filled-in Julia sets for different values of c.
A New Type of Optimization Method Based on Conjugate Directions
Authors: Pan Xin
Published: August 2013

A new type of optimization method based on conjugate directions is proposed in this paper. It can be proved that this type of method has quadratic termination property without exact line search. The new method requires only the storage of 4 vectors such that it is suitable for large scale problems. Numerical experiences show that the new method is effective.
The Liquid and Plastic Limit Data Treated System Based on VC++
Authors: Zhang Xiao Dong , Li Jian Qiao , Shi Rui Yang , Zou Meng , Wang Yang , Li Hao
Published: August 2013

According to two standards for soil test methods with liquid and plastic limit combined test, a liquid and plastic limit data treated system was developed using object-oriented visual programming Microsoft Visual C++6.0 based on analytical method. The flow char indicated that programs of the system used select structure and its nested structure as main its algorithm. Contrasted with manual graphic method, the liquid and plastic limit data treated system had high efficiency and reliable accuracy.
Research on CGF Behavior Modeling Based on Rule
Authors: Tian Shu Chao , Sun Fu , Li Zhi Yong , Hao Li Shan
Published: August 2013

CGF behavior modeling is designed to reflect the characteristics of human behavior better, and improve the credibility and scientific of the combat simulation system. It introduces the CGF and its behavior modeling concept, compares several CGF behavior modeling methods which are main current, Then, it analysis the general structure of the CGF behavior model, and constructs the CGF behavior model based-on rules [. This paper focus on the research of decision-making reasoning method, that it uses the production rules describe method for the decision-making knowledge, whose process contains situation, action, decision reasoning. At last, it researches the decision reasoning process.
The Research of ARMA Model in CPI Time Series
Authors: Zhang Feng Wang , Che Wen Gang , Xu Bei Bei , Xu Jing Zhi
Published: August 2013

The changing trend of CPI to a certain extent reflects the degree of inflation, which has a great significance on macro-control and research on national economic. ARMA model is one of the simple and practical models in financial time series analysis with relatively high forecast accuracy. The paper utilizing Eviews software, through the statistical analysis of CPI from the year of 1995 to 2008 monthly in China, through the ADF unit root test [, by dint of the autocorrelation function ACF diagram [ and partial autocorrelation function PACF diagram [ to identify the model consequently establish the model, through the residual serial correlation test of the residuals of the model to select the correct model [. The predications of the model showed that the ARMA model is valid and forecast accuracy is relatively high
A Medical Information Collection Middleware Mask Differences in Underlying Hardware and Third-Party Applications
Authors: Song Fei , Cui Zhe
Published: August 2013

In this paper, a medical middleware design, effective shielding of the differences of communication protocols and data formats between different medical equipments.
An Optimal Energy-Efficient Path Selection Algorithm Based on Ant Colony-Genetic Optimization Scheme
Authors: Tan Yun Jian , Li Cai Hong , Zhao Rong , Du Jin Ze , Yuan Ya Li , Mu Fu Qiang , Li Lian
Published: August 2013

In this paper, inspired to the high-speed global search ability for genetic algorithm and the positive feedback mechanism for ant colony algorithm, our energy-efficient scheme, called ACGR, was proposed for routing optimization design, in which the communication messages, treated as ants with limited lifetime, are sent by nodes for searching the optimal routing path. Through the proposed scheme, multiple candidate routing paths could be obtained firstly. Then each candidate path is considered as a gene sequence and through the selection, crossover and mutation operations on them, the optimal energy routing path is determined. Simulation results have shown that the proposed algorithm provides promising solution because it takes into account the energy of each node, and extends the lifetime of the wireless sensor network.
Ultrasonic Phased Array Industrial Imaging Research with Compressed Sensing
Authors: Ouyang Xian Yue , Dai Guang Zhi , Li Ren Fa , Zeng Qing Guang
Published: August 2013

this study presents an eight array ultrasonic signal phased array sparse sampling experiment system based ultrasonic phased array technology and Compressed Sensing (CS). Proposed system considers recovery ultrasonic beam signal received eight phased array elements with sparse samples captured using sub-Nyquist model in CS recovery algorithm. We have the block defect detection test in the system. The test result approximated the actual block defect position. Based on block defect detection test, We compared sparse sampling value using spectrum estimation to Compressed Sensing recovery algorithm imaging, and no focus and focus detection effect, proved the phased array experiment system based on Compressed Sensing .it can greatly improve the detection signal to noise ratio (SNR) and sensitivity. So we verify the phased array focus can improve the detection ability.
An Algorithm of Attribute Reduct Based on Rough Set
Authors: Song Gui Juan , Li Gang
Published: August 2013

Attribute reduction is a key problem for rough set theory. While computing reduction according to the definitions is a typical NP problem. In this paper, basic concept of rough set theory is presented, one heuristic algorithm for attribution reduction based on conditional entropy is proposed. The actual application shows that the method is feasible and effective