bluuebunny/crossref_metadata_2025 huggingface dataset:
A Genetic Algorithm-Based Quasi-Linear Regression Method and Application
Authors: Li Fa Chao , Zhang Ke Na
Published: August 2013

Regression analysis, as an important branch of statistics, is an effective tool for scientific prediction. Genetic algorithm is an optimization search algorithm in computational mathematics. In this paper, a new regression model named quasi-linear regression model is established. Further, its implementation method is introduced in detail. Then by taking the population development of Hebei province as an example, we conduct the fitting problem and short-term prediction. Moreover, we compare the fitting effect and the prediction results of two models.
Security Analysis of MD5 Algorithm in Password Storage
Authors: Ah Kioon Mary Cindy , Wang Zhao Shun , Deb Das Shubra
Published: August 2013

Hashing algorithms are commonly used to convert passwords into hashes which theoretically cannot be deciphered. This paper analyses the security risks of the hashing algorithm MD5 in password storage and discusses different solutions, such as salts and iterative hashing. We propose a new approach to using MD5 in password storage by using external information, a calculated salt and a random key to encrypt the password before the MD5 calculation. We suggest using key stretching to make the hash calculation slower and using XOR cipher to make the final hash value impossible to find in any standard rainbow table.
Feature Selection Algorithm for Palm Bio-Impedance Spectroscopy Based on Immune Clone
Authors: Lü Lin Tao , Li Peng , Yang Yu Xiang , Tan Fang
Published: August 2013

According to the features of Palm bio-impedance spectroscopy (BIS) data, this paper suggests a kind of effective feature model of palm BIS data elliptical model. The model combines immune clone algorithm and least squares method, establishes a palm BIS feature selection algorithm, and uses the algorithm to obtain the optimal feature subset that can completely represent the palm BIS data, and then use several classification algorithms for classification and comparison. The experimental results show that accuracy of the feature subset obtained through the algorithm in SVM classification algorithm test can reach 93.2, thereby verifying the algorithm is a valid and reliable palm BIS feature selection algorithm.
Compute Three-Dimensional Reconstruction of Brachial Plexus and its Surrounding Tissues by Using Chinese Visible Human (CVH) Data Anatomical Foundation for Brachial Plexus Entrapment
Authors: Li Qi , Zeng Bing Fang , Kong Wei Qing , Zhang Chang Qing
Published: August 2013

We selected cervical cross section image from CVH-F1 (Chinese Visible Human Female, No.1) database. After labeling the relative structures, we made 3D reconstruction of brachial plexus and surrounding tissue by computer reconstruction technique. In cervical cross section image, tissues like vertebrae, disc, spinal dura mater, spinal cord, vertebral artery, nerve root and muscles can be recognized, which ensure the ideal effect of 3-D reconstruction. In conclusion, we can make 3-D reconstruction of brachial plexus through computer technique which may serve for anatomical study of brachial plexus compression. After that we made vertical section on the nerve and calculate the ratio between area of nerve and its gap. In result, it is suggested that the nerve passage for root and strand is comparatively narrower.
The Design of Social Security Information Management System
Authors: Cao Wan Li
Published: August 2013

The social security information management system based on three-tier model and the client-server framework is built, which in close connection with social security archives information. At the same time, the amount of data, namely the underlying architecture code design, system architecture design, and resolve client desktop three levels to form. The social security system has the formation of the window, which informs retrieval of data management applications for comprehensive
Edge-Magic Total Labellings of some Network Models
Authors: Wang Hong Yu , Yao Bing , Yang Chao , Yang Si Hua , Chen Xiang En , Yao Ming , Zhao Zhen Xue
Published: August 2013

It has been known that edge-symmetric graphs can be used as models of some scale-free networks, such as hierarchial networks and self-similar networks, such as graph colorings can be used for distinguishing objects of communication and informa-tion networks. We study the edge-magic property of edge-symmetric graphs, and construct graphs having edge-magic total labellings from smaller graphs.
The Use of Computer-Aided Teaching Software in the Teaching of Basketball Tactics
Authors: Chang Yan Jun
Published: August 2013

The development of computer-aided technology provides the material basis for the construction of the integration of learning theory and basketball tactics course. But computer-aided technology itself does not naturally promote teaching, how it reasonable design, the use of computer-aided technology can fully reflect the of basketball tactical movement skills learning principles? Embodies the law of basketball tactics and skills in learning how to make the whole process of teaching and characteristics, in order to achieve the purpose of the optimization of teaching? To solve this problem, basketball Tactical Teaching must be systematic design. (Abstract)
The Application of Information Visulization to English Lexicology for College English Majors
Authors: Cui Xiao Qing
Published: August 2013

By employing relative theories of information visualizaion and teaching methodology, we apply a practical course of College English majors to this information visulization assisted teaching, hoping to find that it is conducive to motivating English learners towards information acceptance and ultimately to improving their memory ability and classroom performance.
The Application of Authorware to the English Teaching in the Multimedia Environment
Authors: Tian Xu , Lv Yan Ling
Published: August 2013

The development of multimedia technology in computer science enriches the traditional English teaching methods. As soon as the new technology applies to the English teaching, it arouses the attention and is welcomed by the English teaching professors both abroad and at home. At present, the multimedia soft wares are widely applied to the English teaching, which has fully realizes the human-computer interaction. Among those soft wares, authorware brings enormous advantages for the English teaching and study for both the teachers and the students. In this essay, that authorware is applied to the English teaching is discussed.
A Signal Acquisition and Failure Alarm System of Combine Harvester Based on Touch Screen Technology
Authors: Ji Yuan Yuan , Chen Jin , Yang Guang Jing
Published: August 2013

Most measurement and control systems of combines use digital tubes or LCD as their monitor, which has some problems like low brightness, poor functional expansion and over-occupy port resources. In this paper, a signal acquisition and failure alarm system of combine harvester is designed, based on touch screen technology. The system uses MCU as the main control unit to receive forward speed signal and rotational speed signals of threshing cylinder, transport grain auger and conveyor pan. It handles the signal data, makes judgments, and sends the signal data to the touch screen through serial communication. Some functions like parameters display, parameters setting and faults alarm are set in the touch screen. The system is applied to Taihu Star TH988 combine harvester and had rice harvest tests. The results show that it has good human-computer interaction and improves stability and accuracy, hardware structure and electrical design simplified.
Tourism Domain Ontology Construction Method Based on Fuzzy Formal Concept Analysis
Authors: Liu Yan , Liu Sheng Quan , Li Peng
Published: August 2013

In this paper, fuzzy formal concept analysis is introduced to the tourism domain ontology construction process, first fuzzy formal concept analysis of uncertain information in the domain of tourism,then through the conceptual clustering generated fuzzy concept hierarchy, lastly mapping to get fuzzy ontology prototype. A example shows that the method is feasible and effective.
Applications of Modern Information Technology in the Teaching of College Curriculums
Authors: Xiao Wen Ya , Ge Jian Xia
Published: August 2013

In this paper, it carries out more in-depth study on the integration of modern educational technology with college curriculums, especially on the application of multimedia technologies in the college teaching and obtains some valuable achievements. There are many issues worthy of study on the integration of modern information technology with college curriculums; in this paper it carries out certain researches from multimedia technologies on issues of teaching resources in college curriculums and classrooms, issues of courseware in the production and use processes, and issues of the integration of the traditional teaching method and modern teaching methods, etc., aspects, in which direction many problems are waiting for us to study, explore and solve.
The Method of Equipment Average Replacement TimeVerification Based on Virtual Simulation
Authors: Wu Xi , Wang Bao Qi , Xu Da , Mu Ge
Published: August 2013

Aiming to lack for the verification method of equipment maintainability quantitative requirements, this paper researched the verification method of average replacement time through virtual simulation technology, and proposed the mathematical model of average replacement time, which can lay the foundation for maintainability virtual verification.
Research on Visualization Conference Cooperative Work Platform Based on CSCW
Authors: Wu Zhen Feng , Qin Xuan , Ding Xiao Li
Published: August 2013

Based on the concept and organization mode of CSCW (computer support cooperative work), this paper is to describe the research on establishing an organization structure which has one center and multiple cooperative work nodes. By employing advanced multi-media processing technology and method, it shall constitute a cooperative work platform providing remote video conference capability. Moreover, it also focus on some key points including nodes management, operation information sharing and operation control of remote nodes etc. which shall improve performance of work platform including flexible structure, easy integration and high-efficiency of operation.
A Kind of Text Classification Method Based on Fuzzy Vector Space Model and Neural Networks
Authors: Pan Jun Hui , Li Hui
Published: August 2013

A kind of text classification method based on fuzzy vector space model and neural networks is proposed in the paper according to the problems that a text can be belongs to many types during the text classification. Fuzzy theory is adopted in the method to look the occurring position of feature items in text on as the important degree (membership) reflecting text subject, and fully considered the position information while the features are extracted, thus the fuzzy feature vectors are constructed, as a result, the text classification is close to the manual classification method. The established networks are constituted of input layer, hidden layer and output layer, the input layer completes the inputs of classification samples, hidden layer extracts the implicit pattern features of input samples, the output layer is used to output the classification results. Finally the effectiveness of this method is proved by some documents of Wan Fang data in experimental section. (Abstract)
Research on Evaluating the Logistics Model of B2C Web Store in China
Authors: Niu Hong Yan , Ge Zheng Yi , Yang Xiao Hong
Published: August 2013

In order to evaluate the logistics model of B2C web store at present in our country, a dynamic data envelope analysis (DEA) model was developed. Using the model analyzed a Beijing B2C web stores logistic model. Combined with the actual situation in our country, evaluation result shows that B2C web store logistics model should be appropriate to reduce the logistics outsourcing and improve the proportion of self-support logistics, but self-support logistics rhythm should be appropriate.
Some Holey Designs and Incomplete Designs for the Join Graph of and with a Pendent Edge
Authors: Liu Xiao Shan , Wang Qi
Published: August 2013

A-design of is a pair , where is the vertex set of and is a collection of subgraphs of , such that each block is isomorphic to and any two distinct vertices in are joined in exact (at most, at least) blocks of . In this paper, we will discuss some holey designs and incomplete designs for the join graph of and with a pendent edge for .
Research in Virtual Home Roaming System Based on Virtools
Authors: Li Hui , Liu Fang
Published: August 2013

This system uses three dimensional scene roaming technology into home design, breaks the current rendering home design mode. It constructs 3d indoor scene and indoor furniture models through 3d modeling, and realizes the roaming interaction of 3d home roaming scene by scene roaming technology, at the same time the system adopts collision detection technology to ensure the real roaming effect. The effect of roaming system can satisfy the clients need of knowing home pattern furthest, enhance the clients satisfaction degree of home pattern and reduce the burden and pressure of home designers amending effect picture once and again.
Optimized Transient Digital DC-DC Converter with Predictive Control Based on Multisampling Technique
Authors: Wang Chuang , Li Zun Chao
Published: August 2013

A digital dc-dc converter with fast transient response and low overshoot is introduced, in which an additional predictive component based on multisampling technique is added to the conventional controller. The predictive function uses the second derivative of the error signal and linear extrapolation technique. A theoretical model is derived for the converter, and simulation result indicates that the design achieves better dynamic performance.
Applying Rough Set Theory to Establish Artificial Neural Networks Model for Short Term Incidence Rate Forecasting
Authors: Zhao Xiang Yu , Ma Liang Liang
Published: August 2013

Choosing input variable and networks architecture are key processes for modeling short term incidence rate forecast by artificial neural networks, in this paper a method based on rough set theory is proposed to deal with them. In the proposed approach, the key factors that affect the incidence rate forecasting are firstly identified by rough set theory and then the input variables of forecast model can be determined. On the basis of the process mentioned above a set of influence rules can been obtained through reductive mining process of attributes and attribute values, then a neural networks of incidence rate forecast model is established on the rule set and BP-algorithm is adopt to optimize the networks. The method indicates that incidence rate forecast model can be established according some theoretical principles and avoiding blindness. A practical application is given at last to demonstrate the usefulness of the novel method.
Construction of Odd-Variable Boolean Functions with Optimum Algebraic Immunity
Authors: Zhang Zhi Chao , Huang Zheng , Zhang Jie , Wen Qiao Yan
Published: August 2013

Recently, algebraic attacks becomes a major attack method to threat to cryptography security. In order to resist algebraic attacks, algebraic immunity as a Boolean function cryptographic property has been put out. This makes that Boolean functions should have high algebraic immunity to resist algebraic attacks. In this paper, a specific decomposition method of the space is proposed. By the method, we construct a class of odd number of variables Boolean functions with optimal algebraic immunity.
Research for Model Based on Petri Nets about Maintenance and Support of Military Aviation Equipment
Authors: Wang Zheng , Song Jian Hua , Zhu Xing Dong
Published: August 2013

In this paper, the model based on Petri Nets about maintenance and support of military aviation equipment is researched. And this paper analyzes its process and puts forward a simulation model based on Petri net. This model not only considers most factors in the process, but also appends other elements easily. The model can be applied to the research on maintenance and support of military aviation equipment, or be used for a part of higher level military simulation system.
Blind Deconvolution of Atmospherically Degraded Infrared Images Using Normalized Sparsity Measure
Authors: Tan Dong Jie , Zhang An
Published: August 2013

Blind image deblurring from a single image is a highly ill-posed problem. To tackle this problem, prior knowledge about the point spread function (PSF) and latent image are required. In this paper, a blind image deblurring approach is proposed to remove atmospheric blur, which utilizes the normalized sparse prior on the latent image and radial symmetric constraint on PSF. By introducing an expanding operator, the original constrained minimization problem is simplified to an unconstrained minimization problem and it therefore can be solved efficiently. Experiments on both synthetic and real data demonstrate the effectiveness of our approach.
Nonsingular Terminal Sliding Mode Control Based on Novel Reaching Law for Nonlinear Uncertain System
Authors: Li Ji Chen , Gao Feng Qi , Wang Guang Long , Wang Ming , Zhu Wen Jie , Li Qi Chang
Published: August 2013

Novel reaching law to nonsingular terminal sliding mode control for the control of the second order nonlinear uncertain system is introduced in this paper. The problems of singularity, chattering and slow convergence of the terminal sliding mode control, and verify the stability of the new controller is analyzed. Due to the premise of eliminating the singular value in the nonsingular terminal sliding mode control, the new reaching law based on the power reaching law enables the finite time convergence of the system equilibrium. By applying the new controller to the inverted pendulum system, the sliding surface had been proved fast and the system chattering had been reduced at the same time. Simulation results indict that the system converges to the equilibrium in a short time and the proposed method is feasible and effective.
The Post Ability Evaluation of Maintenance Personnel Based on the G1-Topsis Algorithm
Authors: Xing Nai Ruo , Hui Xiao Bin , Yang Ji , Du Ji Yong
Published: August 2013

The Topsis algorithm was applied to evaluate the post ability of maintenance personnel, and an index system for the evaluation was established. In order to avoid the inconvenience of AHP method in actual operation, a G1-Topsis combination algorithm with the weight of each index calculated by G1 method was proposed. It can be seen from the analysis of examples that the post ability evaluation of maintenance personnel was treated effectively. The results were consistent with the actual situation, which provided important basis for the evaluation and promotion of maintenance personnel.
Database Design of Three Dimensional Simulation and Optimization System for Mine Ventilation Network
Authors: Shen Yun
Published: August 2013

According to the characteristic of three dimensional simulation system for mine ventilation and database technology situation, the systems database was built by SQL Server. This paper analysed the data model, data dictionary, database access control strategy and technology, which provided solid dependence for the stable operation of the simulation system.
Application of Fusioncharts in Web System
Authors: Zhang Ting
Published: August 2013

This This paper mainly introduces Flash report components Fusioncharts of functions and basic usage, emphatically describes how Java Web development system provided by the use of dynamic data-driven Fusioncharts icon-based, and through examples to achieve Fusioncharts Web system.
Foreword
Internet has been deeply in people's lives-more and more enterprises, organizations and institutions have formed or are setting up their own internal networks (intranet), and database application development from the traditional C / S (Client / Server) architecture to the Internet / Intranet-based B / S (Browser / Server) architecture changes. Statements, as an effective means of information organization and analysis, and important present form, are an important part of enterprise management information system. How to conveniently, fast and accurately, generate a variety of statistical reports is a subject worth studying.
With Flash technology-based dynamic charts component of FusionCharts, you can create a simple, interactive and compelling dynamic charts. This article first briefly describes the features and the use of Fusioncharts. Then a staff Task statistical system as an example complies the application of the Web system.
Fuzzy Clustering for Military Decision Analysis with Remote Sensing Information
Authors: Yang Ji Feng , Liu Yong Zhi , Liu Bing Jie , Chen Wei Liang
Published: August 2013

In ocean military actions, there are many environmental factors to influent the military decision. In this paper, the fuzzy C-means (FCM) clustering is used to evaluate the influents of ocean environment, including sea winds, sea wave, sea current and the sea surface temperature gradient in military game. To different military application, the influence coefficient are different, in this paper a weighting exponent is import to estimate the influence grade of the entire ocean environment. The experimental results demonstrate that this algorithms utility in the classification of ocean area of military game.
Research on a Scheme for Improving the Chord Routing Algorithm
Authors: Wang Xiao Bin , Wang Qing Jun
Published: August 2013

The research and application on Peer-to-Peer (P2P) is a topical issue in the present computer network field. The current P2P systems can be separated into two types. One is structured and the other non-structured. The Structured P2P system is based on the principle of DHT which aims to solve some of the problems which exist in the Chord Routing Algorithm. It is a representative structured P2P system. This thesis puts forward a scheme for improving the system. Based on the structural improvement mentioned, this thesis presents a PHFChord system which can improve the file availability and routing efficiency as well as increase the speed of the requiring resource file. In this thesis, the design of PHF Chord system is explained in detail, including the routing strategy, the joining of new nodes and exiting of old nodes.
An Improved Dynamic Programming Algorithm for Bitonic TSP
Authors: Li Jian
Published: August 2013

This paper puts forward an improved dynamic programming algorithm for bitonic TSP and it proves to be correct. Divide the whole loop into right-and-left parts through analyzing the key point connecting to the last one directly; then construct a new optimal sub-structure and recursion. The time complexity of the new algorithm is O(n2) and the space complexity is O(n); while both the time and space complexities of the classical algorithm are O(n2). Experiment results showed that the new algorithm not only reduces the space requirement greatly but also increases the computing speed by 2-3 times compared with the classical algorithm.
The Research and Application of Adaptive Learning System in Learning Programs
Authors: Liu Chang Ming , Sun Yan Jun , Zhang Yan
Published: August 2013

With the development of human society, life-long education and quality education has become the most important. But it is a serious problem for the education that is the student's personality and ability to innovate cannot be effectively exertion. Teaching practice shows it will bring promotion effect to the student's individuality and innovation potential role if we take into account the individual differences of students and learn initiative duly handed over to the students. Traditional classroom teaching mode is clearly inadequate to achieve personalized learning. In this paper, the current status of Adaptive Learning System, by analyzing the function of lack of systematic study, learning the program a single, interactive and adaptive system, the causes of poor, presents a fusion of multiple intelligences theory of learning styles and personalized Learner Model. And this model is based on the system for every personality characteristics of learners in line with the learning programs, Under the guidance of the learning program, in line with learner style characteristics dynamically generated sequence of activities, call the learners preferred resource type, Learning behavior of learners through the tracking and analysis, proposed a learning program adaptive optimization algorithm, Learners use the system, the more the number, the system designed for learners to learn the program more in line with personality characteristics of learners in order to achieve true self-adaptive.
Rough Set Classification Algorithms Based on Texture Feature
Authors: Dong Yan Xue , Huang Fu Hai
Published: August 2013

The basic theory of rough set is given and a method for texture classification is proposed. According to the GCLM theory, texture feature is extracted and generate 32 feature vectors to form a decision table, find a minimum set of rules for classification after attribute discretization and knowledge reduction, experimental results show that using rough set theory in texture classification, accompanied by appropriate discrete method and reduction algorithm can get better classification results
The Analysis of Product Design Research Based on Virtual Reality Technology
Authors: Tian Wei
Published: August 2013

Virtual reality technology is a advanced technology, which contains varieties of disciplines. With the development of science and technology, the virtual reality technology has been applied to so many fields, such as aviation, medicine, architecture, and so on. This paper mainly studies the cruise and information interaction of product by virtual reality technology in order to make the design meet the demand of the market better and improve the interest of enterprise.
Research on Virtual Plant Modeling Based on Local Environment Sensitivity
Authors: Yin Mu Yi , Zhang Ling , Li Wei , Chen Yu Lin
Published: August 2013

This paper analyzed a 2D plant response model to pruning constructed by environmentally sensitive L-system. Then a computer simulation model based on the 3D plant development was presented. By integrating these two models, a model of 3D trees response of pruning was proposed. The experiment shows that environmentally-sensitive extension of L-systems could make a better simulation on the plant growth change process after pruning.
Enlightening Research on the Production of Boutique Open Video Classes
Authors: Yang Dong Li , Liu Si Yu
Published: August 2013

Paper illustrates the background of boutique open video class in China. According to the prepared works of the photographers and the subjects before we taped of the boutique open video classes in the teaching field of China, it researches the techniques which are used in recording video and later editing. It mainly discusses the problems, such as one third composition methods, cutting-body principle, lens push-pull shooting technologies and the photography technology problems and so on. It also studies the forming strategy of the online open classes initiated by foreign distinguished universities.
Discussion on the Intelligent Logistics Development Strategies Based on Internet of Things
Authors: Jia Guo Ling
Published: August 2013

This paper introduces the concept and features of Internet of things and intelligent logistics, analyzes the role of internet of things in promoting the development of intelligent logistics, as well as the intelligent logistics development strategy under the internet of things development boom, methods should be taken to expand the internet of things tax subsidy policy, establish rearch and development alliances and parallel internet of things group, accelerate the process of standardization and attach great importance to the security construction.
Multi-Class Character Classification with Semi-Supervised Learning Based on Information Entropy
Authors: Wang Xue Wei , Tang Yuan Yan , Duan Jia , Peng Liang Rui , Zhang Zhen Chao
Published: August 2013

Character Classification technology is the key link in OCR system. Most classification methods require abundant marked samples training to get classifier. In the real OCR application, there are so many classes, to label these samples are often waste time and energy, especially for unacquainted language, such as Arabic and Uygur, many characters are difficult to differentiate, so it even needs the help of professional guidance. This paper proposed a novel character classification with semi-supervised learning based on information entropy, introduced discrete event probability estimation theory of information entropy, active to select the optimization character samples, got the new parameters to train the classifier again, choose the most conducive to the classifier performance samples, iteration until the unlabeled samples set is empty. The experiment results show that this method achieves high performance in specific condition.
Design and Implementation of IOT Heterogeneous Information Sharing Tool Based on Cloud Platform
Authors: Liu Dan , Sun Jian Mei
Published: August 2013

The Internet of Things' is far more complex than the Internet, aiming at the heterogeneous and real-time characteristics of its massive data, combined with the advantage of distributed cloud platform. In this paper,the data reduction tool reusable on an extended cloud platform is designed which solved the problem of heterogeneous data access and new type data; the characteristics of resources and information for the platform sharing requirements, take three levels of abstract data modeling of the data resource, the model can comprehensively, systematically describes a IOT data resource, and has high efficiency in storage and query terms. Finally, a new data-mining system built on top of cloud computing platform is implemented to verify the validity of data reduction module and finally through analysis of experimental data to verify the validity of the target.
Multiple Planar Intersects Recognition by Hough Transform
Authors: Chen Yu Ting , Pan Xiao Lu , Yu Wei , Li Ling , Ni Qi Biao
Published: August 2013

Detect the intersect lines of multiple planes is one way to recognize and reconstruct the 3D space. First, analyzed the depth data grabbed by SR3000, sampled the depth data into gray bitmap and detect the depth gradient edge. By using the improved Hough Transformation method, get the parameters of spatial intersection lines.
Multi-Robot Path Planning Based on Learning Classifier System with Policy Gradient Reinforcement Learning and Support Vector Machine (PGRL-SVM)
Authors: Song Qiu Li , Zhao Jian Bao
Published: August 2013

This paper presented a novel approach to solving the problem of robot avoidance collision planning. A Learning Classifier System is a accuracy-based machine learning system using gradient descent that combines covering operator and genetic algorithm. The covering operator is responsible for adjusting precision and large search space according to some reward obtained from the environment. The genetic algorithm acts as an innovation discovery component which is responsible for discovering new better path planning rules. The advantages of this approach are its accuracy-based representation, that can be easily reduce learning space,online learning ability,robustness due to the use of genetic algorithm.
NSCT-Based Multi-Sensor Image Fusion Algorithm
Authors: Tan Hai Feng , Zhao Wen Jie , Li De Jun , Luo Tian Wen
Published: August 2013

Against the defects that the favoritism method and average method in the multi-sensor image fusion are apt to impair the image contrast, an image fusion algorithm based on NSCT is proposed. Firstly, this algorithm applied NSCT to the rectified multi-sensor images from the same scene, then different fusion strategies were adopted to fuse the low-frequency and high-frequency directional sub-band coefficients respectively: regional energy adaptive weighted method was used for low-frequency sub-band coefficient; the directional sub-band coefficient adopted a regional-energy-matching program that combined weighted average method and selection method. Finally, the fusion image was obtained by NSCT inverse transformation. Experiments were conducted to IR and visible light image and multi-focus image respectively. And the fusion image was evaluated objectively. The experimental results show that the fusion image obtained through this algorithm has better subjective visual effects and objective quantitative indicators. It is also superior to the traditional fusion method.
Ultrasonic Phased Array Industrial Imaging with Sub-Nyquist Sampling Rate
Authors: Dai Guang Zhi , Han Guo Qiang , Ouyang Xian Yue
Published: August 2013

this paper uses a new type of FRI (Finite Rate of Innovation) sampling pattern based Sub-Nyquist sampling model breaked through Shannon theorem that it can get accurate signal reconstruction based on signal information rate, which requires the sampling frequency lower than two times the max signal frequency. We apply the new model in the ultrasonic phased array industrial imaging. In the experiment, ultrasonic phased array realized dynamic focusing and the high speed scan by ultrasonic array transducer of various array time delays to get flexible controllable synthesis beam composed signals that received by 32 phased array elements . The results indicate that in the model it greatly reduces the signal sampling frequency and improves the signal-to-noise ratio, frequency resolution at the same of the beam focusing and steering flexible.
A Kind of Improved Genetic Algorithm for Multi-Depot Vehicle Routing Problem
Authors: Lian Wan Xiang , Zhu Can Shi , Hu Jiang Hua , Zhang Dong Feng , Liu Duan
Published: August 2013

Multi-Depot Vehicle routing problem is an NP-HARD problem. Because the genetic algorithm is easy premature convergence and search efficiency is not high, this paper established the defects of polymerization degree model, and based on this, this paper proposes an improved algorithm, this algorithm can change the mutation rate according to their own chromosome degree of polymerization size to avoid the prematurity of genetic algorithm, and improved genetic algorithm search efficiency. Through the contrast, the results showed that the algorithm has good search efficiency and stability, which demonstrates that the improved algorithm is effective and feasible for multi-depot vehicle routing problem.
Research on Modeling Technology of Virtual Resources Cloud Pool for Group Enterprises Based on Ontology
Authors: Wang Yun Xia , Wang Zhi Liang , Gao Cheng Chong
Published: August 2013

To realize cloud manufacturing (CMfg) production in group enterprises, manufacturing resources and modeling technologies of cloud pool were studied. According to the characteristics of group enterprises, manufacturing resources were analyzed and classified into human, equipment, materials, cooperation resources and so on. Then, the realization method which manufacturing resources mapped into virtual resources was researched, and a layer platform for cloud manufacturing was proposed. Taking CNC machine tool as an example, the ontology model was built with Semantic Web and OWL based on ontology theory. Finally, using semantic similarity computation method and case-based reasoning, the virtual resources were intelligent searched and matched so that manufacturing resources can realize unification, sharing and reuse.
General Discussion on Prevention Technologies of Network Security
Authors: Huang Yong , Zhu Jian Hua , Li Hui
Published: August 2013

Definition of network security is stated first. Network security threats; roughly including network connection threat, physical environment threat, authentication treat, malicious programs and system vulnerabilities, which can be further divided into more detailed categories. 8 prevention technology and strategies consisting of physical security means, firewall technology, intrusion detection, information encryption technology, vulnerability scanning, antivirus software, disaster recovery technology, and honeypots and honeynet technology are elaborated to try to form a general discussion of the security prevention structure. In the end, we propose that all of these technology and strategies should be organically combined and enterprises should pay more attention to network security rather than expanding production uncontrolled.
An Application of Minimum Statistical Noise Estimation in the High Rate of Fire Artillery Muzzle Velocity Measurement
Authors: Ju Feng , Shi Lin , Zhang Hong Wei , Han Zhuang Zhi
Published: August 2013

The infrared starter is usually used to measure the artillery’s muzzle velocity, but due to the continued firelight near the muzzle produced by the continuous occurrence of the high rate of fire artillery projectile , so that the misjudgment and the Missing are easily produced by the infrared sensor . Continuous wave radar can effectively overcome the impact of the fire, but the detection accuracy of the leaving time is greatly affected echo because of the flame noise. Therefore the noise reduction of echo signal is an important step about the detection of the leaving time. For this problem, a noise reduction algorithm based on the minimum statistical noise estimation is proposed in this paper by the analysis of the echo signal. The noise of continuous muzzle flame is effectively reduced by the algorithm. It is verified correct and feasible by the processing of the measured signal. It lays the foundation for the measure of the artillery’s muzzle velocity and the engineering realization of muzzle velocity measurement.
Implementation of a Web-Based Grid Computing Model for Transient Stability Constrained TTC Evaluation
Authors: Shen Li , Shi Li Bao , Ni Yi Xin , Yao Liang Zhong , Bazargan Masoud
Published: August 2013

In this paper, a web-based grid computing model for total transfer capability (TTC) with transient stability (TS) constrains is proposed. The grid computing model is designed in a heterogeneous web environment to implement the cross-platform application. A kind of power system analysis software package is integrated as the computing engine during computation. Finally, application example with a real-sized Chinese power system demonstrates the validity of the proposed model.
The Study of Shared Multimedia Didactical System
Authors: Nie Sen , Sun Yuan Yuan , Liu Yan
Published: August 2013

This essay presents the basic function and structure of shared multimedia didactical system,raises a scheme relating to the system which is based on computer network and central control equipment ,and able to achieve the multistage controlling to coordinate the control center with the classrooms,analyzes the technique of realizing it,especially the key technique;introduces its operational principle as well as clarifies the methods to develop and operate it.
Traditional teaching methods depend on blackboard and textbooks,which have many limitations not only on the category and ability to bear information but also on the convenience of using.With the high development of techniques of electron,communication and computer handling,massive electronic media merges,such as slide show,projection,sound recording,filming,videotape and so on.However,these contemporary teaching media have better abilities and convenience than that of traditional ones,and have already been applied in teaching.In the process,multimedia education can rationally select and apply modern didactical facilities,as well as work with traditional media so that students can study in a better circumstance and easily acquire more new and overall information.With the rapid development of computer and other related techniques,traditional multimedia classrooms came to appear,disposing projection machine,computer,video revealing plat,video tape recorder,video disk machine and so on.It is very inconvenient for lectures to play video or audio information via operating tele-controller or plat of device,even being ready to inter-cut signal line at any time.To such a case,we recommend adopting the didactical system of compositive multimedia sharing,which consists of one control of center and many multimedia classes relying on computer network and realizing its multistage control by developing corresponding software and hardware.
An Optimization Algorithm for Selecting Cloud Service Partner Based on Graph Theory
Authors: Kang Yan Fang , Nie Gui Hua , Chen Dong Lin , Wu Zhong
Published: August 2013

The cloud computing market is composed by many cloud service providers, It is a key problem about how to choose and to determine the appropriate the competitiveness partners between the major cloud service providers. For this problem we propose a optimization algorithm based on graph theory solution. First we should clearly consider the factors in choosing the partner's .On this basis we establish the mathematical model of the cloud service provider partners. How to select the tender of cloud service providers in the problem, the paper gives the optimization algorithm based on graph theory, last we give an example to verify the effectiveness of the algorithm.
The Application of Biometric Identification Technology in ATM System
Authors: Zhang Ming Hui , Zhang Yao Yu
Published: August 2013

Biometric identification technology deals with the identification of individuals based on their biological or human behavioral characteristics. Biometric identification method is reliable, anti-counterfeit, convenient and safe. At present there are some insecurity factors in the ATM (automatic teller machine) in bank system. Methods such as combining biological recognition with the ATM machine, adding the face recognition technology, fingerprint recognition, second generation ID card recognition, enhancing automatic identification are developed to improve the security of ATM.
The Application of PHM in Environment Safety
Authors: Tang Zhen , Wu Gang , Feng Li Ping , Yao Yi , Nie Yong Fang
Published: August 2013

For a long time, the monitor and maintain of navy Vessels equipment is based on the traditional maintain theories and plan maintain. But with the development of electronically and digitization, this kind of traditional mode is more and more hard to satisfy the need of equipment, and restrict the formation and exaltation of troops fighting strength. Currently the technologies of fault prognostics and integrated health management are becoming regarded, especially on many Vessels equipment systems. There are many factors that influence the equipment environment safety, and Oil mist concentration is one of the important factors. So it is very critical to monitor oil mist concentration accurately and quickly. The paper designed a method to carry on the sampling of the air and get the original data. And forecasting the variety of oil mist concentration with grey model, it opens the air decontamination device before attaining the limited value. The calculation shows that the mode is effective, convenient, and has upper fitting precision.
Island Hole Automatic Filling Algorithm in Triangular Meshes
Authors: Bi Feng Long , Hu Ying , Chen Xin Yu , Ma Yue
Published: August 2013

Aiming at the triangular mesh holes generated from incomplete data in reverse engineering, a novel algorithm on island filling was proposed. The focal point of this work was automatic recognition and repairing algorithm on island holes. The island holes are recognized based on the projection on characteristic plan. Then, by connecting island holes and outside holes of the island, island holes are converted into the ordinary holes to repair. Experiment result shown that the proposed method is efficient and stable in island hole filling.
Robust Feature Points Extraction Based on Harris and SIFT
Authors: Guo Xiao Ran , Cui Shao Hui , Dan Fang
Published: August 2013

This article presents a novel approach to extract robust local feature points of video sequence in digital image stabilization system. Robust Harris-SIFT detector is proposed to select the most stable SIFT key points in the video sequence where image motion is happened due to vehicle or platform vibration. Experimental results show that the proposed scheme is robust to various transformations of video sequences, such as translation, rotation and scaling, as well as blurring. Compared with the current state-of-the-art schemes, the proposed scheme yields better performances.
Moving Objects Detection Algorithm Based on Three-Dimensional Gaussian Mixture Codebook Model Using XYZ Color Model
Authors: Huang Jin , Jin Wei Dong , Qin Na
Published: August 2013

In order to reduce the difficulty of adjusting parameters for the codebook model and the computational complexity of probability distribution for the Gaussian mixture model in intelligent visual surveillance, a moving objects detection algorithm based on three-dimensional Gaussian mixture codebook model using XYZ color model is proposed. In this algorithm, a codebook model based on XYZ color model is built, and then the Gaussian model based on X, Y and Z components in codewords is established respectively. In this way, the characteristic of the three-dimensional Gaussian mixture model for the codebook model is obtained. The experimental results show that the proposed algorithm can attain higher real-time capability and its average frame rate is about 16.7 frames per second, while it is about 8.3 frames per second for the iGMM (improved Gaussian mixture model) algorithm, about 6.1 frames per second for the BM (Bayes model) algorithm, about 12.5 frames per second for the GCBM (Gaussian-based codebook model) algorithm, and about 8.5 frames per second for the CBM (codebook model) algorithm in the comparative experiments. Furthermore the proposed algorithm can obtain better detection quantity.
Attribute Control of P-Information Law and its Application
Authors: Fan Cheng Xian , Zhang Yun Peng , Sun Xi Yan
Published: August 2013

Function P-sets is a new mathematical model and structure, which is a new theory and method of studying the laws of dynamic information system. P-information law is the dynamic information law generated by function P-sets, which is information law pair composed of internal P-information and outer P-information law . Using the dynamic and law character-istics of P-information law, the study of attribute control and attribute control theorems of P-information are presented. Finally, the application of attribute control in image border information stabilization is given.
Attribute Dependence of P-Information Law and its Application
Authors: Fan Cheng Xian , Sun Xi Yan , Zhang Yun Peng
Published: August 2013

Function P-sets (function packet sets) is a novel mathematics structure and model. P-information law is generated by function P-sets, which is an information law pair composed of internal P-information law and outer P-information law . Using the generation and structure of P-information law, the attribute dependence, attribute dependence measurement and attribute dependence theorem of P-information law are presented. Based on the results, the application of P-information attribute dependence is given.
Image Retrieval Based on Semi-Supervised Orthogonal Discriminant Embedding
Authors: Huang Chuan Bo , Xiang Li
Published: August 2013

An retrieval algorithm based on dimensionality reduction is proposed to effectively extract the features to improve the performance of image retrieval. Firstly, the most important properties of the subspaces with respect to image retrieval is captured by intelligently utilizing the similarity and dissimilarity information of semantic and geometric structure in image database. Secondly, We propose Semi-supervised Orthogonal Discriminant Embedding Label Propagation method (SODELP) for image retrieval. The experimental results show that our method has the discrimination power against colour, texture and shape features and has good retrieval performance.