bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Influences of Information Transmission Mode Changes upon the Organizational Structure
Authors: Yang Zhen
Published: February 2014

Information transmission is widespread in business process of the organizations. In order to facilitate access to information transmission, this article divides information transmission into three categories: process, rules as well as tricks and set up the flow chart with various factors of communication and information among organizations. This paper proposes the double closed-loop organization model, a reconstruction method based on information management. Through the study of the effective management of information, the organization of information is enriched and the sharing of information is enhanced. Therefore, the organization has a certain intelligence, which provides theoretical guidance for the organizational reconstruction.
Strategy for Test Paper Composition Based on Genetic Algorithm
Authors: Tang Hong Tao
Published: February 2014

Recently, with rapid development of computer/network technology and algorithms for composing test paper, cyber-based online examination system is a practically valuable hot research concern. In the paper, the mathematical model is created for solving problems with the online test paper composition system. Through comparative analysis of merits and shortcomings of various coding schemes, and to overcome the shortcoming that traditional genetic algorithms easily fall into premature convergence, it utilizes the adaptive adjustment method of dynamic parameters and elitist strategy to improve to develop the online test paper forming scheme based on adaptive genetic algorithm. For the selection of each parameter, simulation test is conducted to obtain the solution approximate to the best one.
The Analysis and Design of WTN Chess Algorithm
Authors: Zhou Wen Min , Li Shu Qin , Gu Lei , Shi Yu Feng , Li Zhan Yu
Published: February 2014

Recently,WTN chess is just emerging as a computer game of Artificial Intelligence Competition in China which lacks of algorithm research. This article attempts to research how to get rid of randomness in the game of WTN chess and lets the program make the right choice to analysis and return a relatively best solution.This article also achieves a greedy algorithm based on enumeration and offensive strategies, and provides an algorithm of situation assessment.It is demonstrated that the algorithm is effective.
Analysis of Buffer Overflow Exploits and Prevention Strategies
Authors: Xu Shu Xin , Chen Jun Zhang
Published: February 2014

With the rapid development of network technology and the emergence of a variety of applications,network security issues became the top priority of the network applications. This article first explains the concept of buffer overflow,and then from the programming language itself flawed,not robust perspective on the emergence,to the emergence of buffer overflow attacks and principle are analyzed in detail,described hackers using buffer overflow attacks the general process,and according to the type of buffer overflow attacks,software development and program runs from two aspects of proposed buffer overflow attack prevention strategy.
IMMRPF Class-Conditioned Joint Tracking and Classification
Authors: Xu Long , Jiang Hong , Zhan Kun
Published: February 2014

An IMMRPF class-conditioned joint tracking and classification (IMMRPF-CCJTC) algorithm is proposed in this paper. This IMMRPF-CCJTC algorithm is integrated by Bayesian classifier and class-conditioned Bayesian multiple model filter that is implemented by IMMRPF. It relies on the low-resolution radar and electronic support equipment (ESM) as its kinematic sensor and attribute sensor, respectively, and has good modular structure and less computational load. Simulations verify the effectiveness of the IMMRPF-CCJTC algorithm.
Logistics Distribution Routing Optimization Algorithm
Authors: Hua Zhang Chun , Xin Hua , Wei Zhang
Published: February 2014

Logistics distribution involves preparing goods in the distribution center or logistics node for most reasonable delivery according to the requirements of customers. Genetic algorithm is a random global search algorithm based on the principle of natural evolution. It can be a good solution to optimize the distribution routes. This paper combines genetic algorithm and the simulated annealing algorithm, to which memory device is added, in order to avoid best result losing in the crossover operator of the genetic algorithm. The experimental results show that a memory function with this genetic simulated annealing algorithm in solving the logistics distribution routing problem, can not only get a higher qualified solution, but can also significantly reduce the evolutionary generation that algorithm requires, and obtain solution to the problem in less time.
Liquid Corrosion Property of Al-12Si-10Cu Energy Storage Alloy
Authors: Zhang Xiao Hua , Yu Si Rong
Published: February 2014

According to recent researches, aluminum alloy is an ideal choice for solar energy storage technology. But the erosion nature limits its promotion and application. Therefore, it is particularly important to research the corrosion behavior and the corrosion mechanism. In this paper, the 304 stainless steel was used as the container material. By analyzing the corrosion kinetics curves, the erosion thickness increases and the erosion rate decreases with the erosion time extension. Electron probe, X-Ray Diffraction (XRD) and other instruments were used to research the corrosion behavior and mechanism of erosion products. The results show that the erosion form is uniform corrosion. The erosion phenomenon is due to the diffusion corrosion of Al element. Si, Al0.5Fe3Si0.5 compound and Al95Fe4Cr compound in the erosion layers can retard the diffusion of Al.
Study on Partition Testing Based on Software Models
Authors: Li Jun , Xie Tang Tang
Published: February 2014

Software test is a reliable technological means of guaranteeing software quality. General testing methods divide testing input values into a number of sectors according to certain rules, and then they choose a figure from each sector as testing data. However, if inappropriately divided, the probability of at least one error is lower than that of random testing which uses the equivalent number of cases. In light of the problem, the article puts forward a measurement method of describing ideal testing division via testing interdependency. By means of reasonable testing division, the testing effect on software models can get improved.
Research on P2P Transmission Optimizing Strategy
Authors: Yi Jing , Li Xue Dong , Li Xiao Feng , Gou Hong Ling
Published: February 2014

To reduce the congestion of trunk network caused by P2P transmission, a P2P transmission optimizing scheme is introduced in metropolitan area network (MAN) in this paper. In this scheme distance vectors such as Huffman Code are used to represent topology relations of nodes in MAN, and distance vectors of nodes which store nodes in topology server are built. According to the distance vectors, physical distances of each node are calculated, and most transmission flow is controlled on the edge of MAN, thus transmission optimizing is realized.
The Cloud Computing Tasks Scheduling Algorithm Based on Improved K-Means
Authors: Sun Xue Ying , Fu Xue Liang , Hu Hua , Gui Tao
Published: February 2014

Cloud task scheduling is a hot technology today, how to effectively improve the utilization of resources, time efficiency, load balancing, is the focus and difficult of the study. The time efficiency, load balancing of K-Min algorithm still need to be improved, so this paper proposes cloud computing task scheduling algorithm based on modified K-Means (Improved K-Min), firstly, This paper improves the k-means algorithm using the BFA and PSO,then according to the length attribute of the task, resource requirements, the algorithm uses the improved K-means for packet processing tasks, then performs Min-Min scheduling algorithm within the group. Through theoretical research and simulation of Cloud-sim platform, when the number of tasks is 300, experimental result is best, comparing with Min-Min algorithm, the total task completion time improved 17.13%.
The Practical Analysis of Software Quality Management of Information System
Authors: Wang Hua , Li Xian Yu , Yang Hong Tao , Zhang Yun Jian , Liu Wei Na
Published: February 2014

Based upon the intention summary of software quality management, this paper gives plain description of PDCA circulation, software quality scheme, quality control, quality assurance, and quality improvement. Meanwhile, one quality evaluation is put forward. This will benefit the software quality management of information system.
Research on Logistics Distribution Path Planning Algorithm Based on GIS
Authors: Su Tian Yang , Xue Da Shen
Published: February 2014

Algorithm of vehicle scheduling optimization could be integrated in the GIS platform. Therefore, distribution software can automatically make the delivery plan and managers also can make the optimizing choice of the optimal distribution route. Firstly, this paper introduces the necessity of introducing GIS into the logistics industry. Moreover, advantages and disadvantages of the current path planning in the logistics distribution which often used in some algorithms (genetic algorithm, mountain climbing algorithm, ant colony algorithm, etc.) will be listed. Finally, a more practical hybrid algorithm will be used to the GIS so that managers can optimize the logistics distribution path selection.
Method of Testing Point Optimizing Based on Multi-Echelon Comparison Hybrid Particle Swarm Algorithm
Authors: Wang Zhi Qiang , Xu Yan , Yang Qing
Published: February 2014

This paper introduces the multi-echelon comparison hybrid particle swarm optimization (PSO) algorithm and its processes, and describes its application in the testing point optimization, and the simulation analysis and comparison show that the algorithm improves the convergence speed of global search, and overcomes the shortcoming that fundamental particle swarm optimization algorithm is easy to fall into "premature" convergence and other shortcomings.
The Performance Analysis of the S-Box Based on Matrix Power Multiplication
Authors: Yuan Xiao Zhuan , Zhang Fan , Shao Hui , Qi Chuan Da
Published: February 2014

In this paper, we investigate the S-box structure of matrix power functions; discuss the equations nature of this S-box in the low-dimensional. We give the specific form of S-box in GF(4). we discuss the equation describing the ciphers input/output variables and the round key of S-box and the number of equations and find out We find the max number and the min number of the S-box equation. We also find the number of the equations of the matrix power S-box describing the ciphers input/output variables and the round key and the distributing of the order of the equations.
Automatic Summarization Based on Mutual Information
Authors: Huo Hua , Liu Xing Han
Published: February 2014

Many existing automatic summarization methods often process a text based on the paragraphs. These methods ignore the correlation degree among paragraphs, which lead to the inaccuracy of the extracted summary. To solve the problem, we present a method based on mutual information. Firstly, we divide the whole text into several smaller blocks which relevant to each topic by measuring the degree of association among words, sentences and paragraphs. Then we compute the weight of the sentences by using the improved formula which aims to evaluate the importance of one sentence to a topic. Finally, the summary can be generated by combining the sentences selected from the different topics. The experiment result shows the validity of the method.
Predicting Project Effort Intelligently in early Stages by Applying Genetic Algorithms with Neural Networks
Authors: Li Zhen You
Published: February 2014

In the early stages of a software development project, estimating the amount of effort is one of the most important project management concerns. This study has successfully produced global optimal reduced models intelligently predicting software cost estimation by employing neural networks with back-propagation learning algorithms combined with genetic algorithms (GA-NN) to determine the most significant explanatory variables among the 16 COCOMO cost drivers. The performance of the full model of GA-NN is much superior to that of the COCOMO, whilst the predicting performance of its global optimal reduced model is also comparable to that of the COCOMO in terms of MMRE and PRED (25). The optimal reduced models and their found significant factors can offer powerful supports for the project managers to make right decisions in the early stages of the projects.
A Wireless Sensor Networks Monitoring Device Based on ZigBee
Authors: Wu Hua Rui , Zhu Li
Published: February 2014

environmental monitoring should have real-time, reliability and sustainability,the article design a device which can meet the request of environmental monitoring. the wireless sensor networks device based on ZigBee is described in detailed, meanwhile, a new routing strategy based on LEACH algorithm is proposed,implement of the strategy is described in the thesis.The new routing strategy is suitable for the long time monitoring, and realized the establishment of network cluster head nodes, broadcasting, selection and scheduling. According to the distance and energy consumption of nodes make a decision that the node joining a cluster or as a separate node directly communicate with the control node.The simulation results show that the device can real-time collection and remote transmission environmental temperature, humidity and other information, reduce energy consumption of data transmission, Prolong the network life-time, improve the network quality, and ensure the wireless sensor networks stable wrok,realize the network optimization.
Customer Arrival Event Processing on Computer Simulation for Discrete Event System
Authors: Yao Ming Hai , Chen Xiao Ji , Zuo Lei
Published: February 2014

Discrete event systems are widely used in the production and life, it is difficult to use conventional differential equations, differential equations, and other models to describe, the theoretical analysis method is difficult to obtain analytical solutions, computer simulation techniques to solve these problems provides an effective means. Arrival event is a typical discrete system event; on arrival event handling is always one of the difficulties of computer simulation, in this paper, banking customer arrival system as an example to study. For banks queuing system, customers arrive to obey the parameter of Poisson distribution is, the probability mass function through the distribution curves and cumulative distribution function curves to study the distribution of customer arrival; construction of single-queue multi-server system of customer arrival event subroutine flow chart, and processing steps will be described. Content of this study, it is suitable for the developed area bank to adopt "number ticket machine" approach to service.
A Note on Flow Shop Scheduling with the Effects of Learning and Deterioration
Authors: Niu Yu Ping , Wang Ji Bo
Published: February 2014

In this note, we consider the machine scheduling problems with the effects of learning and deterioration. In this model, job processing times are defined by functions dependent on their starting times and positions in the sequence. The scheduling objectives are makespan, sum of completion times. It is shown that even with the introduction of learning effect and deterioration jobs to job processing times, several flow shop problems remain polynomially solvable.
Embedded Processors Nios II-Based LCD Display System Design
Authors: Tang Li Li , Yao Shao Jun , Huang Wei , Wang Jing
Published: February 2014

Altera's Nios soft core embedded processor, with its low cost, flexible design, etc., has been widely used in embedded applications, while LCD is also increasingly used in a variety of instrumentation and control system as a man-machine interface and display modules. This paper presents a LCD screen of the software and hardware design based on a soft-core Nios embedded processor, introducing hardware interface circuit and software development processes which control the LCD screen, and the corresponding procedures.
A Design of Improved Base64 Encoding Algorithm Based on FPGA
Authors: Li Wen Long , Zhu Ruo Xin , Kang Jian , Tao Ling , Cai Guang Hui
Published: February 2014

Base64 is one of the most common encoding styles to transfer 8 byte code in the internet. Base64 is used widely, through which the data is usually put in URL. However, the mark % as a wildcard will be generated after encoding by standard Base64. Therefore, Base64 after URL encoded could not be directly stored in the database. To solve the problem, this essay presents a improved Base64, which can be directly stored in the database. The reconfigurable and flexibility of FPGA, the design by Verilog HDL and the comprehensive line used by Quartus II 13.0 can be achieved. Eventually, adaptation to the DE2 development board is tested. Practice has proved that there are many merits of the system, such as: simple structure, fast operation speed and good flexibility and so on.
The Application of an Improved Integration Algorithm of Support Vector Machine to the Prediction of Network Security Situation
Authors: Zhang Shao Min , Li Bing Xia , Wang Bao Yi
Published: February 2014

In order to grasp the security situation of the network accurately and provide effective information for managers of network.GeesePSOSEN-SVM algorithm is proposed in this paper. It can produce and train multiple independent SVM through Bootstrap method and increase the degree of difference among SVM based on learning theories of negative correlation to construct the fitness function.GeesePSO algorithm is used to calculate the optimal weights of SVM.The algorithm chooses the high weights of SVM to integrate. At last, through the experiment on MATLAB for network security situational prediction,the results show that the absolute prediction error is smaller ,and the right trend rate is higher.
Research on Analytical Model of Network Transmission Based on Topological Structure of Logical Layer
Authors: Wang Hui
Published: February 2014

With the continually expanding of city construction scale in china, metropolitan area network transmission system is established at present. But with the increase of network users, the network capacity can not meet the requirements of our normal life, and 4G network technology is to expand the capacity of the network developed. According to its size, building the appropriate model for the metropolitan area network is the current focus issues of experts and scholars. Based on the internet information technology, the establishment of a metropolitan area network crisis early warning mechanism is the focus of this paper. Research on early warning mechanism and the construction of the main problems are the establishment of an information transmission link. Therefore, based on the transmission characteristics of information transmission network, we carry on the division for the metropolitan area network level. Through the analysis of whole network resources deployment, we put forward a reasonable solution according to the performance index, making the whole of early warning mechanism has shown more rationality, but also provides a theoretical method and technical support for the establishment of a similar warning mechanism.
Research on the Application of Spatial Logic in the Security Protocol Verification of Computer
Authors: Gao Min
Published: February 2014

The security protocol is the core technology of the network communication security system which can maintain the security of the network environment effectively. With the increasing of the amount of network data, how to make security protocol to meet customers needs for network and information security and how to improve the efficiency of the security agreement are the focuses of exploration of the field of computer security. This paper introduces the security agreement composite form based on the theory of computer logic program, strand space model theory and certification test method. It also expands the Kailar logic and concludes the automotive verification algorithm of security protocol AAAP-KM algorithm. At last, this paper verifies the effectiveness and fastness of AAAP-KM algorithm taking the KM security protocol for example which provide a theoretical reference and technical support for the application and research of cyberspace logical security agreement.
Research on Data Mining Technique Based on Visualization of Parallel Coordinate Method
Authors: Zhang Dian Ying
Published: February 2014

As a confrontational-main sport, with the increase of social and political problems, there are more and more technical fouls in competitions of basketball. The hot problem we must to solve is the control of the stadium information, the analysis of basketball player's technical fouls and the implement of targeted management. Firstly, this paper introduces the status and applications of visual data mining technique based on parallel coordinates briefly. Then, it analyzes the advantage of this method which has been used in basketball player's technical fouls based on mathematical modeling thinking. Then, it establishes the optimized data mining model of basketball player's technical fouls based on visualization of parallel coordinate method which provide theoretical basis and new ideas for the research and practice of this field.
Simulation Research on Video Tracking Based on Computer Dynamic Capturing Technology
Authors: Hu Zhen Yu
Published: February 2014

Motion capture technology of computer is a new form of a new data acquisition in recent years. It relates to many subjects, such as mathematics, computer science, graphics, digital signal processing, image processing, data structure and so on. Through the combination of various disciplines, and mutual penetration, this new research field has been formed. The study of the motion capture technology not only increases the depth of theory, but also provides practical significance for the dynamic kinematics. At present, the motion capture technology of computer has been widely applied to the animation game production, medicine motion analysis sports and other fields. This article is mainly based on the combination of basketball technique and computer motion capture to provide a theoretical basis and practical experience for computer motion capture of basketball.
An Improved Abnormal Behavior Feature Detection Algorithm of Network Information Based on Fractional Fourier Transform
Authors: Peng Qi Hua
Published: February 2014

The feature extraction and detection problem of network information abnormal behavior was researched in this paper. The network attack tended to ambiguity in hidden, and the abnormal behavior of network information is referred as a data signal series, and it was existed in the network information space with strong interference. Traditional detection method was hard to detect the abnormal signal. On the basis of fractional Fourier transform (FRFT), an improved abnormal behavior feature detection algorithm of network information was proposed. The properties such as energy gathering and noise suppression of 4-order cumulant slice were taken in advantage. In the post processing of fractional Fourier transform detection, the post processing operator of 4 order cumulant was introduced in the detection algorithm, the post energy was gathered in the fractional Fourier domain, the signal accumulation was likely to be increased, and the interference noise could be restrained effectively. Simulation results show that the improved algorithm has perfect noise suppression performance, and it can detect and extract the abnormal behavior feature in the network space to maximum. The detection performance is improved greatly, and the research result can be applied in the network information warfare and network security areas.
Chaotic Time Series Prediction Algorithm for Lorenz System
Authors: Zhang Chen
Published: February 2014

Based on the glowworm swarm optimization (GSO) and BP neural network (BPNN), an algorithm for BP neural network optimized glowworm swarm optimization (GSOBPNN) is proposed. In the algorithm, GSO is used to generate better network initial thresholds and weights so as to compensate the random defects for the thresholds and weights of BPNN, thus it can make BPNN have faster convergence and greater learning ability. The efficiency of the proposed prediction method is tested by the simulation of the chaotic time series generated by Lorenz system. The simulations results show that the proposed method has higher forecasting accuracy compared with the BPNN, so prove it is feasible and effective in the chaotic time series.
Research on the Numerical Simulation of Cooling Process for Plastic Profile in Calibrator
Authors: Duan Lei , Zhang Yang
Published: February 2014

The calibrator is an important part of extrusion die. Its cooling and calibrating ability directly influence the quality and output of the profile. Based on the analysis of the heat transfer process during cooling in calibrator, the initial and boundary conditions of cooling numerical simulation are further analyzed and calculated. Then the cooling process of plastic profile in calibrator is simulated. The calculation rationality of the initial and boundary conditions and the accuracy of numerical simulation are verified by measuring the surface temperature of profile in production.
Self-Service Library System: Design and Implementation
Authors: Dong Wei
Published: February 2014

In this paper, we propose a new self-service library system. The new system adopts Radio Frequency Identification (RFID) technology so that patrons can check out and return library property at any time of the day. In addition, repetitive strain injuries among librarians are alleviated. Unlike traditional methods of old library circulation system which employed barcode as Identification of a book, a tiny RFID tag is attached to a book in the new circulation system. With its serial number programming and anti-theft information programming into the tag, it is believed that the new system has a better control on theft, nonreturns.
Synthesis of the Carboxyl and Pyridine Functional Ionic Liquids
Authors: Xiong Ying , Yang Min
Published: February 2014

The effects of different solvents on synthesis of base functional ionic liquid, butyl pyridinium hydroxide ([bPy]OH), from butyl pyridinium bromine ([bPy]Br) were investigated systematically using KOH/NaOH as the base agent and strong base anion exchange resin. The results showed that the yield of [bPy]OH achieved 35% with the molar ratio of 1:1.1 ([bPy]Br to NaOH) using dichloromethane under room temperature. With isopropanol and 8 h of the reaction time, the yield could reach 88% with byproducts. The yield of 97% without byproduct was achieved by using strong base anion exchange resin in column chromatography static reaction for 0.25 h. The yield of carboxyl and pyridine functional ionic liquids based on neutralization method, exchange method and one-step method were compared and the results showed that the one-step method possessed the maximum yield of 88% with 3 h of the reaction time at room temperature.
Design and Implementation of Intelligent Baby Room Monitoring System Based on the Internet of Things
Authors: Guo Fang , Duan Jia Yong
Published: February 2014

In this paper, a special environment for the baby room monitoring devices is designed. The system uses technology of Things based on Zigbee. The system has temperature sensor, humidity sensor, wet alarm, infrared alarm and other information collection systems and music players control system. The system also includes microphone and camera information collection system based on TCP / IP protocol. Through information processing of intelligent controller, the family can be real-time observation of environmental parameters baby at home. Families can also be information monitoring and remote control via remote access intelligent controller.
The Improvement and Verification of Conformance Testing Platform in TD-LTE System
Authors: Liu Yu , Niu Yong Qing
Published: February 2014

Firstly,This paper improves the test framework for protocol conformance testing platform.Secondly, A testing suit is exploited by the test control notation version 3(TTCN-3) to verify the protocol conformance testing. Furthermore, It gets TTCN simulation graphics through specific the re-establish testing suit. At last, Theoretical analysis and simulation results show the advantages of testing program as well as the feasibility of the platform.
Numerical Simulation Study on the Failure Mechanism of Bedding Rock Slope Based on the Lagrangian Multiplier Method
Authors: Yu Fei , Zhang Yu , Chen Shan Xiong , Li Jian
Published: February 2014

The weak formulation of the Lagrangian control equations considering the contact constraint conditions and the FEM discrete equations have been derived. The non-linear and non-smooth problems of the mechanical response are solved perfectly by adopting the suggestion method for which tolerance large tangential slipping of the contact surface. One excavation bedding rock slope of the Hu-Rong-Xi expressway is analyzed applying the method mentioned above. The distribution rules of the displacement, stress, strain, contact state, contact friction force and sliding distance under the status of critical sliding are obtained. The analysis results indicate that the failure of the bedding slope is a progressive course. The interlayer stagger firstly, then the deformation evaluates to creep bedding slip and the bottom rock occurs buckling slip at last. The destruction model changes form the bedding slide to rock buckling slip.
Effects of Standoff Distance and Particle Size on Quality of NiCoCrAlY Coating by Cold Spraying
Authors: Feng Sheng Qiang , Ma Bing , Wang Xiu Ling , Liu Guang , Zheng Zi Yun , Pan Li Ping
Published: February 2014

According to the gas dynamic property of cold spraying, the distance from the outside of nozzle to the substrate has great influence on the coating quality including the thickness of coating and the deposition effeciency. Meanwhile, the effects of particle size on coating quality are of the utmost importance. The influences of two parameters above on the quality of the NiCoCrAlY coating on the magnesium substrate by the experiments of the cold gas dynamic spraying were discussed in this study. The results of the experiments showed that, based on the fact that other parameters were not changed, when the standoff distance was more than 50mm, there were no complete coatings on the surface of the substrate, and its thickness was asymmetrical. When the standoff distance was 25mm, the thickness was homogeneous, and the oxygen content was only 1.3%. Also, when the particle size was 5~50μm, the coating quality was better.
Time-Varying Channel Multi-Carrier Modulation Technology Research
Authors: Sun Zeng You , Ling Xia
Published: February 2014

With frequency selective fading from multi-path characteristic and time selective fading from high speed mobility, double selective channel has become the typical context for the current wireless communication system. To realize high performance transmission in time-varying channel, this paper presents DAFT-OFDM multicarrier modulation scheme. The simulation results show that the scheme is applicable to time-varying fading channel, in which each path experiences independent Doppler spread. The scheme can also reduce ICI effectively.
Design and Analysis of System for Radar Reconnaissance Based on UML
Authors: Jin Guo Qing , Xie Jing
Published: February 2014

The design of the software in the training system of reconnaissance radar analysis, which is object-oriented, fully makes use of the development thought of UML. It makes clear the requirements of system function, constructs the use case digrams of the system and the relevant class diagrams. Using the tool of UML dynamic modeling, it respectively describes the scene generator module, radar signal generator module, reconnaissance radar analysis training module of the target system in detail. The users interface and the data base structure of the system are designed in great detail and all the subsystem in target system are designed and developed.
A Novel Medical Image Enhancement Algorithm Based on Dyadic Wavelet Transform
Authors: Li Jia , Yang Yun Feng , Wang Peng Xiao , Li Bo
Published: February 2014

In clinical application, medical images tend to be low contrast, bigger or more speckle noise, and they will affect the effective use of medical images. Medical image enhancement can solve the problem of the low contrast of the image, so as to get more clear details of images. An algorithm of the medical image enhancement is proposed based on the binary wavelet transform in the paper. Firstly, the medical image was carried through dyadic wavelet transform, then the high-frequency information was de-noised, and then to enhance the high frequency information which was de-noised; at last, the enhanced high-frequency sub-images and the low-frequency sub-images were reconstructed by inverse dyadic wavelet transform. Finally, a better visual effect can be got by a subsection grayscale transform. The experiment results show the enhanced effect of proposed method is better than those of the wavelet transform.
A Study of the Development of Henan Martial Arts from the Perspective of Information Network
Authors: Li Yong Zhi , Yan Shu Ren
Published: February 2014

The information network of Henan martial arts brings not only new hopes to the protection and inheritance of martial arts, but a new space to the dissemination of it. Henan martial arts is facing many problems in the process of information network, which has seriously hampered the network construction process. The article makes an In-depth analysis of these problems and their causes and recommendations for the information network to promote the healthy development of Henan Martial Arts
Subjective Evaluation Method of Stereoscopic Video for the Digitizing of Dynamic Culture Resources
Authors: Ren Hui , Su Zhi Bin , Meng Fang , Li Hua , Chen Hao Xuan
Published: February 2014

Nowadays, there has been a lot of research on subjective evaluation of stereoscopic videos and stereoscopic images for 3DTV and 3D movies, that research always take image quality and visual comfort as the main assessment factors. In this paper, we focused on the subjective evaluation method for the digitizing of stereoscopic video of dynamic culture resources, summarized four assessment indicators and the contents of each indicator; then we analyzed several influence factors that would affect the evaluation results; finally, we showed the details of evaluation method and proposed relevant evaluation scare of the indicators. Our research will provide the basis for the later evaluation works of stereoscopic video for the digitizing of dynamic culture resources.
Attitude Model Identification for Sub-Mini Dual Ducted UAV under Hovering
Authors: Gao Tong Yue , Wang Dong Dong , Tao Fei , Ge Hai Lang
Published: February 2014

Based on the sub-mini dual ducted UAV dynamics analysis of Newton, and according to the characteristics of the hovering and variable posture mechanism, this paper combined methods of mechanism analysis with system identification to get the attitude model of under actuated sub-mini dual ducted UAV, which contained input variable, output variable and some unknown parameters. Then the subspace method used the real flying data to identify above the attitude model. Finally，the correctness of the identification model was verified.
Switching Power Supply Impact on the Power Line Carrier Communication
Authors: Liang Li Hua , Zhang Xi Hong , He Ye Shen
Published: February 2014

This paper introduces the power line carrier communication technology and switching power supply, and expounds the factors that affect the switching power supply for power line communication, analyzes how to solve the problem of switching power supply in power line communication, such as analysis of phase noise electromagnetic interference on the impact of switching power supply, and proposes measures to perfect the switching power supply.
Application of Computer in the Directional Well Technology
Authors: Li Kun Yuan , Zhang Yan Mei , Liu Jun
Published: February 2014

The directional well technology is developing with the increasing demand for energy, and the computer science plays an important role, which not only decrease the design time of the directional well, but also improve the drilling accuracy. The application of computer in rotary steering system makes it possible to realize the intelligent Directional well system.
Structure Lane Detection Based on Saliency Feature of Color and Direction
Authors: Dang Hong She , Guo Chu Jia
Published: February 2014

In this paper, we propose a method for structure lane detection; the method is based on two features: color and direction. This method can improve the robustness and accuracy of lane detection. Two kinds of saliency map have been calculated: color saliency map and direction saliency map. The final saliency map is the combination of the two map mentioned above. The binary image is getting from the final saliency map, and the feature points which used for fitting have been selected. The road region is segmented by the lanes. Experiment result shows that the proposed method produces better performance against some other methods.
Research on Dynamic Characteristic of Giant Magnetostrictive Actuator
Authors: Li Li Yi , Yan Bai Ping , Zhang Cheng Ming
Published: February 2014

The emphasis of this paper is to research dynamic characteristic of giant magnetostrictive actuator (GMA). First, a prototype of GMA driving by a Φ5×40mm GMM rod (Terfenol-D) is made and the experimental test-bench is set, the optimal pre-pressure of GMA is 129N, and GMA can made 39.5μm strain with 218N output force under 5A current. Then, the energy of electrical, magnetic and mechanical of GMA is studied, equivalent circuit of energy conversion is summarized. At last, dynamic characteristic of GMA is measured, and hysteresis of strain under high frequency is tested. The results show that the resonant frequency of GMA is 1200Hz, and the magnetostriction coupling coefficient up to 0.572. The output strain of GMA increase with the frequency increasing before resonant frequency, and GMA has max output strain (49μm) under 1A current at 1200Hz.
Research on the Monitoring Technology for Mountain Substation Geological Safety Based on the Optical Fiber Sensing Net
Authors: Wang Hong Liang , Wang Da Da , Cao Min , Zhang Shao Quan , Li Chuan , Guo Li Jun
Published: February 2014

Substation forced to be built in the mountains, with complex geological conditions and harsh natural conditions. The summer rainy season and the winter snow and ice have caused serious threats to the security on the mountain substation geological safety and have great impact on the power grid stability. Currently, there is no effective and continuous monitoring tool for mountain substation geological safety. Due to active crustal movement, earthquake, mudslides and other geological disasters increased significantly in some areas. Substation has undergone a number of serious geological security incidents. To solve such problems, the project intends to research and apply on the mountain substation geological safety monitoring. Firstly, analyzes the necessity of geological safety monitoring. Secondly, introduces the distributed optical fiber sensing technology, optical monitoring systems and geological safety monitoring system. Finally, makes a simulation experiment and demonstrates the feasibility and effectiveness of the method.
Design of a Novel Digital Baseband for UHF RFID Tag
Authors: Lv Wei , Wang Xin An , Su Ji Ting
Published: February 2014

This paper presents a novel low-power digital baseband for UHF RFID tag. The design is complied with a modified ISO 18000-6C protocol. In order to reduce the peak power, module-reuse and other advanced low power techniques are applied. And a novel baseband architecture is discussed, which fulfills the protocol functions and reduces power consumption. The whole tag chip, including digital baseband, RF/analog frontend and memory, has been taped out using TSMC 0.18um CMOS process. The chip area is 89234 um2 excluding test pads. Its power consumption is 11.63uw under 1.1v power supply.
A Maximum Sustainable Area Model for Harvesting Eichhornia Crassipe in Environmental Phytoremediation
Authors: Sun Ling , Zhu Ze Sheng
Published: February 2014

The aim of this study was to investigate the use of a model to determine harvest area of Eichhornia crassipes in environmental phytoremediation. A logistic model was constructed to eatimate the area of Eichhornia crassipes and tested in Eichhornia crassipes samples. The area of Eichhornia crassipes was measured nine times in experiment period using GPS and satellite remote sensing images. The measurements were shown to lead to a determination of the parameters of accurate logistic model with an overall Goodness of Fit Index of 0.9753. This indicates that there is a possibility of obtaining maximum harvest area of Eichhornia crassipes from the logistic model and suggests that it is possible to implement environmental phytoremediation with the continuous harvest at the maximum sustainable area of Eichhornia crassipes.
Experimental Study of Temper Embrittlement of 2.25Cr-1Mo-0.25V Steel Weld Metals
Authors: Song L.P. , Sun Rong Lu
Published: February 2014

We found that welding rod of the same trademark but different batch has distinct different tendency of brittleness when they are experienced step cooling embrittling treatment process.A series of 2.25Cr-1Mo-0.25V steel welds were prepared using the manual arc. The notch toughness properties were assessed in the PWHT condition and after a temper embrittlement step-cooling treatment. the J and X factors of the weld should be more rigorous than the base steel. low Mn and Si content weld metal is less susceptible to temper embrittlement. The temper embrittlement was evaluated as the shift of 54 Joule transition temperature (vTr54) by the Charpy v-notch impact tests. In the post-weld heat-treated condition (PWHT) the notch toughness requirement for weld metal is 54 J at-40°C .
A Novel Medical Image Registration Based on Contour Features and MultiScale Information
Authors: Yang Yun Feng , Lin Cheng Xin , Wang Peng Xiao , Li Jia , Li Bo
Published: February 2014

Medical image registration is the important technique in the clinical medicine field. A novel hierarchical registration method of the medical images based on multiscale information and contour line is proposed in the paper. At First, contour lines of the couple images are extracted based on the edge features obtained by Canny operator, and contour lines of the couple images are resample in order to reduce the calculation cost in the registration process. Secondly, the Principal Axes method is used to accomplish the rough registration based on the resampled contour lines. Thirdly, multiscale image serials obtained by down-sample transform are used to accomplish the couple images fine registration. Experiment results show that the method not only can achieve more accurate registration results, but also can reduce the computational time greatly. The accurate registration results also can be achieved in the noisy environment.
Construction and Enumenation of Multiple-Element Systems of Order v
Authors: Li Xiao Yi , Xu Zhao Di , Chou Wan Xi
Published: February 2014

This paper gives a constructed the multiple-element systems of order v the definitions about both derived design andcomplemented design. It proposes an algorithm of constructing bothderived design andcomplement design. It presents the entire procedure of constructing design and design, and discusses the enumeration problem of both derived design and complemented design.
Methods of Constructing and Enumerating the Steiner Triple System with Order 31
Authors: Li Xiao Yi , Xu Zhao Di , Chou Wan Xi
Published: February 2014

This paper describes the basic concept of constructing Steiner triple system of order and gives the definition edge matrix of a complete graph. It proposes a method of constructing Steiner triple system of order. The entire procedure of constructing Steiner triple system of order .It discusses the enumeration problem of Steiner triple system.
Design of Bus Intelligent Dispatching LED Screen Terminal Based on GPRS
Authors: Zhang Ya Jun
Published: February 2014

ARM S3C2440 as the master processor, STM32 for the LED display controller, combined with GPRS module, TTS module, to achieve a real-time display schedule information terminal system of bus stations. The display terminal system provides departure information for vehicles of bus stations, and plays an important role in improving the level of intelligentization and informationization for public transport management.
A Novel Three-Dimensional Passive Micromixer with Replaceable Mixing Chamber
Authors: Zhang He , Tian Li , Han Xiao Wei , Liu Xiao Wei
Published: February 2014

In this paper, we design and fabricate a three-dimensional passive-micromixer with a replaceable mixing chamber. The rectangular mixing chamber has a dimension of 20 mm × 3 mm in length and width and 2 mm in height, the chamber can be fitted with different microstructures to accelerate mixing. Then, we compare the no structure chamber to left and right interdigitated chamber by using numerical simulation, the result show that the mixing efficiency has been significantly improved. The photomicrographs proved the effectiveness of the design finally.
Research on Speech Enhancement Based on Wiener Filtering
Authors: Cheng Chong , Huang Li
Published: February 2014

eech enhancement based on Wiener filtering has good noise robustness, and it is efficient and easy-to-implement. In this paper, Wiener filtering and its modified form, Iterative Wiener Filtering are demonstrated. Then, their respective advantages and disadvantages are outlined. Finally, the application field and location of each method are also pointed out.
On the Image Processing Mechanism Based on the Fuzzy Vision
Authors: Cai Tian Fang , Yang Zhong Guo
Published: February 2014

Human visual system has excellent ability in image processing. Based on the visual principles and fuzzy theory, the model of W3M proposed in the paper simulates the level, two-way connectivity, feature detector and learning mechanism of the visual mechanism to a certain extent. The model accomplishes different types of image segmentation by setting different parameters and shows its application potential through the practical application of some really collected biomedical images in segmentation.
Numerical Simulation Analysis of Electronic Equipment Thermal Reliability in Steady-State Temperature Field
Authors: Li Wei Ming
Published: February 2014

In recent years, with the rapid development of electronic information technology, electronic devices are used in all areas of our lives. The power consumption is transmitted to the surrounding through the form of heat when electronic components at work. Each of the components is a source of heat when it is working. If it works in a hot environment long times, the stability will be affected and its life will also decreases. Therefore, in the initial design phase of electronic equipment, thermal stability and thermal reliability must be analyzed to reduce these uncertainties. This article solve the optimal layout problem of components in PCB board by establish micro unit heat balance method. It also concludes that the micro unit heat balance method is reasonable through ANSYS finite element analysis.
An Algorithm for Segmenting Video Shot
Authors: Tian Li Gang , Zhang Shao Bin , Sun Xiao Hua
Published: February 2014

Identifying gradual shot transition in video sequences is the difficult point in video shot detection. The paper presents a kind of new algorithm for segmenting video shot.It reduces the dimensionality of the images using the hsv color space technique to obtain the inter-frame differences, based on which to set Dynamic steps and get dynamic thresholds to segment video shot. The experiment results show the algorithm is available.