bluuebunny/crossref_metadata_2025 huggingface dataset:
Research and Simulation of Optical Measurement Model in Chemical Pollution of Water
Authors: Zhu Tao
Published: September 2014

Currently, the chemical pollution of water detection is mainly based on optical method. However, the optical detector is easily restricted by light and weather conditions. Optical measurement can be set on the target feature point, such as the laser reflection apparatus in laser measurement. This article applied the optical measurement method to research detection of water chemical pollution. Use theoretical and mathematical models of optical measurement method to perform the detection of chemical contamination in water. Optical measurement method is the trend of future development.
Implementation of a Design for Oxygen Saturation Measurement System
Authors: Liu Jia , Chen Han Zhou , Zhu Xi’an
Published: September 2014

This paper describes an implementation and validation result of a interface design for wearable oxygen saturation sensor systems. The system mainly consists of medical sensor module, RS232 module and ARM-based embedded software, the medical sensor module used for receiving, amplifying, filtering the signals of oxygen saturation and pulse in real time,RS232 module implementing serial communication driver and serial data receiver. The part of software is developed by Visual Studio 2005 VC#, adopts Windows CE as its platform which supports multi-threaded, database, communication and instantaneity. The typical characteristics of this system are its portable interface, easy operating way and software scalability.
Research on Anomaly Detection Based on MNF in Hyper Spectral Imagery
Authors: Yang Guang , Lei Zhong Xiang , Wu He Nan , Meng Qiang Qiang , He Gao Pan
Published: September 2014

A novel method was proposed to solve the problem which was caused by high dimensions. Minimum Noise Fraction was used for dimension reduction. And then the RX algorithm and KRX algorithm was used to detect the data after dimensional reduction. The method proposed was better by comparing the ROC of four detection results.
Seeds Microscopic Image Edge Detection Based on the Clustering Method and Applied in Andriod Platform
Authors: Guo Xiao Fen , Zuo Yan Li
Published: September 2014

Sobel, Roberts operator is derived based on the differential. As a result of the template and fixed threshold value, it lacks adaptability. Median filter on images of the collected cardiac seeds maturity, use split clustering algorithm on cardiac seeds maturity for the first image gradient value clustering, condensed cluster on the result of the first split the clustering results, then secondly division cluster, and finally work out the image edge based on the second clustering results and realize on the FPGA implementation. At last the method is Applied in Andriod Platform. The experimental results show that it is more delicate to use the hierarchical clustering algorithm to detect the edge and it has stronger ability to suppress noise.
Shape Features Detection Based on Hough Transform in Images
Authors: Chu Guang Li , Wang Yan Jie
Published: September 2014

Hough transform as an effective graphics target detection method can detect straight lines, circles, ellipses, parabolas and many other analytical graphics. The discretization of space, as well as the calculation of the process make Hough transform have some limitations, such as poor detection results because of high-intensity noise, a large amount of calculation, large demand of storage resources and so on. This paper analyzes the Hough Transform voting process and points out that the accumulation with 1 in the method is unreasonable. The paper proposed a Hough transform based on template matching via the modification of the definition of the traditional method. In this method, each parameter unit identifies a template in image space. The feature points according with the conditions can be searched by the template actively. The method takes the number of feature points as the value of parameter unit and takes the record of the coordinates of line segment endpoints. So line segments can be detected and storage resources can be saved.
Two Degrees of Freedom Manipulator Kinematics Analysis and Simulation
Authors: Guan Lu Wei , Ma Cai Wen , Han Jun Feng
Published: September 2014

A 2-DOF manipulator is modeled in PROE. In MATLAB, inverse kinematics is solved by geometric method. The desired trajectory, angular velocity and angular acceleration of each joint are obtained by the linear interpolation of parabola transition to complete the kinematics planning of the manipulator. The velocity of the end-point and the kinematics analysis are got by Newton-Euler method. In PROE, the expected trajectory of the end point is got by the simulation of the position planning. Kinematics simulation on the model is made in ADAMS. The simulation results are consistent with theoretical calculations to verify the correctness of the theory computing, which can provide an effective basis for the control of the manipulator.
Approach to Intent Recognize Based on Petri Nets
Authors: Wang Shou Feng , Zhang Lin
Published: September 2014

Intent recognition is an important problem to address in order to enhance the capabilities of battlefield surveillance systems. It is concerned with finding a priori defined template that possibly are instantiated in the present flow of battle events. Intent recognition requires that many sub problems are solved. For instance, we need to establish which actions are interesting, how to represent these actions, and inferable events and states that can be used for representing them. In this paper we discuss current research efforts and goals concerning template-based intent recognition. We provide a categorization of approaches for intent recognition together with a formalization of the template-based intent recognition problem. We discuss this formalization in the light of an air-ground striking scenario. Finally, we conclude that intent recognition is an important problem to look into for enhancing the overall situation awareness of decision makers.
Research of Intelligent Stride Characteristics Analysis Inspection System
Authors: Peng Jin , Wu Xing , Nan Pan , Liu Yi
Published: September 2014

In order to narrow the range of suspects and clear direction of investigation quickly, a smart stride characteristics test system was designed and development. The system design concept and concrete implementation of the key technologies such as image mosaic, PCA-based stride characteristics extraction and membership test were all introduced in detail. Actual stride characteristics test experiments show the effectiveness of the system.
Sequential Detection Using an Ordered Statistics Method
Authors: Yan Xing , Li Fan
Published: September 2014

Most of the development of distributed detection is mainly based on a fixed number of samples under test specification. However, in reality, is more suitable for sequential tests is used, because it can take advantage of relatively small sample size and reach with a fixed sample size test the same detection performance. Heuristic-based approach, this paper proposes a new sort of samples distributed based detection scheme. Finally, can be illustrated by the simulation results that the proposed method compared to traditional SPRT can further reduce the number of samples needed for the final decision.
Sharing Technology of the Tracking Telemetry and Command Software
Authors: Li Yong Gang , Xi Zhen Dong , Hao Sha , Guo Li Bing , Wang Yi
Published: September 2014

The software sharing is the development trend of tracking telemetry and command software. How to develop quickly the tracking and controlling tasks software to adapt to the current experimental situation, and to ensure software quality, is a challenging subject placed in the face of software personnel. Using software middleware and software component technology, we can solve the problems of Tracking and Controlling Network acrossing operating system, Tracking and Controlling Software acrossing program languages, software reuse and other issues.
A Novel Compensation Method for Time-Grating Sensor’s Dynamic Measurement Error
Authors: Sun Shi Zheng , Peng Dong Lin , Zheng Fang Yan
Published: September 2014

In order to improve time-grating sensor’s measurement accuracy, which is influenced by stability of the components, temperature and mechanical processing in precision measuring procedure. A novel compensation method based on Fourier series approach and least square is presented. With this method, the measurement error is separate into a lot of harmonics, and the optimal parameters of compensation are evaluated by least square method. The accuracy analysis certificates that time-grating sensor’s measurement error is reduced from ±14.8′′ to ±2.5′′ by applying the error compensation method, which is compensated about 80% compared with no compensation. Sensor’s accuracy is effectively improved.
Design and Implementation of the Insert Temperature Measuring and Control System
Authors: Li Jia Xian
Published: September 2014

In recent years, along with the speeding up of the wide application of computer technology and information technology in our country, computer measurement control system has been widely used in more and more occasions. The temperature is an important parameter in many monitoring and control system. In some strictly requiring temperature monitoring, more real-time and high precision temperature measurement are needed. The traditional temperature measurement method is dependent on measuring the analog quantities of electronic components, and then converts it into visual measurement results. From the aspects of hardware circuit design, it is of great trouble to develop and takes much work, at the same time; the problem anti-interference is more outstanding. Modern temperature sensor is evolving from analog to digital, from integration to the direction of the intelligent in rapid development, making it convenient for this topic to measure temperature in the application field.
Control Precision Test Equipment Design of an Anti-Aircraft Gun Servo System
Authors: Duan Xiu Sheng , Shan Gan Lin , Xiao Jing
Published: September 2014

Control precision of the anti-aircraft gun servo system related directly to the artillery firing accuracy, and it is a very important item in performance test of the fire control system. In order to test the control precision of an anti-aircraft gun servo system and correct the firing data, the shaft angle conversion circuit and digital signal interface circuit are designed based on the industrial computer platform and the data acquisition module of PCI bus. In that way, software arithmetic of shaft angle conversion based on the general A/D is realized. In the practical application the arithmetic has a good performance.
Analysis of the Pitch Diameter Measurement Based on Three-Pin/T-Shaped Probe and Thread Scanner
Authors: Zhang Yu , Wang Yue , Yao Xing Yu
Published: September 2014

To study the data consistency of Three-pin/T-shaped probe and thread scanning measurement. Through the analysis and summary of the measurement methods and experimental data obtained in two methods of measurement uncertainty can meet the thread gauge diameter measurement requirements. Experiment to obtain the maximum difference of the actual size of the corresponding point of 1.1μm, verify the correctness of the two thread measurement method and propose the appropriate application program.
Research of Landmine Detection Using Terahertz Technology
Authors: Miao Qing , Wang Gao , Li Yang Jun
Published: September 2014

The detection of landmines has become a hard task to deal with because of the diversity of landmines and the complexity of minefield. The development of terahertz technologies has provided a feasible way to detect the buried landmines. Landmines’ shell is usually made of ceramics, plastics, even wood and so on, which terahertz wave could penetrate them easily. The explosives are the major part of landmines. Many types of explosives have the characteristic spectrum in terahertz range, so it would be an effective method to detect landmines by measuring the spectrum of explosives with terahertz time-domain spectroscopy.
Research on the Automatic Monitoring System for Coal Mining Subsidence
Authors: Yu Xue Xiang , Lü Wei Cai , Jiang Fa Wen , Huang Hui , Hang Yu Fu , Yang Xu , Zhu Ya Zhou
Published: September 2014

The automatic monitoring system for coal mining subsidence is introduced from the main research contents, composition of system, construction of system, etc. in this paper. The system is based on GNSS CORS technology, GIS technology, computer network communication technology, mobile PDA technology, modern measurement data processing technology. It takes GNSS reference station subsystem, GNSS CORS monitoring station subsystem, data monitoring center subsystem, subsystem of real-time data acquisition terminal and subsystem of communication as core modules. Equipment monitoring, data collecting and transmitting, data processing and analyzing ,subsidence predicting and early warning, mining damage evaluating are built up into a automatic monitoring system for coal mining subsidence. This system can provide decision-making basis for mine safety mining and geological environmental governance.
Three-Dimensional Inversion and Visual Expression of Two-Dimensional Data in High Density Resistivity Method
Authors: Ma De Xi , Du Rui Qing
Published: September 2014

High density resistivity method have integrated resistivity method and induced polarization method. It is widely used in exploring metallic deposits, especially metallic sulfide deposits. The aim of this article is to study three-dimensional inversion and visual expression of two-dimensional profile survey data in high density resistivity. After testing computing capability and application effect of three-dimensional inversion, the results show that the change rules of resistivity can be seen more clearly. And the visual expression after three-dimensional inversion is able to help us observe the distribution characteristics of resistivity with various perspectives. These results are helpful for us to deduce distribution characteristics and special locations of geological structures. They are also helpful to do some effective geological explaining works for spatial distributions and changing rules of ore deposits.
Research on Data Parallel Synchronous Transmission Technology Based Virtual Radio
Authors: Fu Gang , Lin Jian Hua , He Qian
Published: September 2014

Analyzing the parallel synchronous transmission data based on the proposed use of time-multiplexing transmission mode dynamic solve the transmission delay is large, the traditional structure of the software causing the radio frame data are transmitted in parallel low-speed data blocking phenomenon; and problems caused by data transmission and processing delay for virtual radio monitoring system uses asynchronous mode uncertainty, proposed time synchronization method based on the data frame structure to a more generalized approach to achieve a measure of sync.
A Novel Method with Good Repeatability and Stability for Calibrating Milliampere-Second Meter
Authors: Sun Tian Yu , Liu Yan Bo , Wei Tian Su , Yin Fu Cheng
Published: September 2014

There is not any calibration specification or verification regulation for the milliampere-second meter, a very important instrument for preventive maintenance and calibrating the X-ray machine [1][2], is used to measure the value of the product of tube current and exposure time. To solve the problem that the traditional method can not offer the same standard value in different times, this paper presents a method for calibrating the milliampere-second meter by using a signal generator and a digital meter. It shows that the new method has good repeatability and stability.
The Influence of High-Frequency Phase of Laser Wavefront on the Distribution of Focal Spot
Authors: Fu Fu Xing
Published: September 2014

When laser beam is effected on the material, the surface properties of material can be damaged, and the damage effect is different for the different laser beams. Nevertheless, the distribution of laser intensity is influenced by the proportion of high-frequency phase in wavefront. By researching the propagation character of wavefront phase, the relation of high-frequency phase and laser intensity is given in this paper. The results show that the focal spot increases gradually with the increase of the proportion of high-frequency phase, the peak value of intensity decreases obviously, and the number of side lobe increases observably.
Chinese Mining Machinery is Facing Severe Challenges
Authors: Hu Xing Zhi , Wang Ji Kun , Li Xue Zhe
Published: September 2014

Coal mine electromechanical equipment plays an important role in the process of producing coal.For the lack of scientific management philosophy and effective management methods, China’s Coal mine electromechanical equipment is now facing severer and severer challenges in its way of moving ahead-shortage of investment, hysteresis of management-hazards emerge in every single seconds in the production of coal mine. These hazards,however,does not merely affect the normal production, but will also increase the risks of accidents.Therefore,in order to improve the management level of electromechanical equipment and optimize the utilization of mechanical and electrical equipment, coal mine managers should pay their attentions to the following three aspects:the importance of coal mining equipment ,the importance of training mechanical and electrical personnels and the importance of accelerating the construction of mechanical and electrical information management system [1].
Study on Temperature between the Testee and the Bed on Ergonomics
Authors: Li Li
Published: September 2014

Bed interface material can affect the person's temperature characteristics. This article is based on ergonomics principle and method, paralyzed group for the audience to carry the mattress temperature sensation characteristic experiments. Through the subjective survey, found that paralyzed sponge mattress material local temperature influence the human body, through the objective experiment, it is pointed out that different sponge mattress different effects on human body temperature; correlation between subjective and objective analysis found: Waist temperature on the maximum total thermal comfort; the best waves sponge thermal comfort; consistent with the results of subjective and objective analysis.
Research of a High Precision Time Synchronization Method Based on GPS Calibration
Authors: You Bu Xin , Bu Jing , Yin Ming Hui , Zou Yun
Published: September 2014

With the higher requirement for clock accuracy in power system, the accuracy and stability of wild area punctuality in GPS cannot meet the demands of the high–precision measuring instruments in power system. Firstly, this paper establishes the mathematical model of crystal oscillator clock error using polynomial fitting method. Then, it estimates the parameters of polynomial model with generalized least squares method. Thirdly, it updates the error-model of crystal oscillator clock dynamically for modifying its predicted error. The result shows, this method can not only predict accurate time error, but also filter out random errors well in GPS.
A Fast Algorithm Based on Discrete Cosine Transform(DCT)
Authors: Huang Xiao Hui , Huang Wei Zhi , Yuan Ke , He Kun
Published: September 2014

Traditional fast algorithms for DCT are aimed at sequences with 2N length and it is math-intensive for sequences which contain odd numbers of elements. This paper analyzes the redundant calculation of cosine transform of non-2N-point sequences and put forward a fast algorithm for one-dimensional DCT with odd length. Also, according to the separability of two-dimensional DCT, we can generalize the fast algorithm for one-dimensional DCT to two-dimensional DCT to implement and complete the fast algorithm. The simulation suggests that this algorithm improves the speed of calculation.
Determination Analysis Model of Inter-Regional Power Replacement in our Country
Authors: Lei Tao , Qin Chao , Xie Wei , Ju Li Wei , Tan Zhong Fu
Published: September 2014

To determine the inter-regional power replacement, this paper starts from the inter-regional power transmission and out-purchased demands and puts forward the analysis models of power transmission and out-purchased. Then it focuses on the decision problem of inter-regional power transmission and out-purchased where power supply exceeds power demand and provide the corresponding optimization algorithm. The models shows that inter-regional power replacement can reduce the generation pollutants emission, promote the power efficiency, and raise renewable energy grid-connected content like hydropower, wind power and so on, making magnificent economy and environmental effects.
Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method
Authors: Zhang Su Ying , Shen Yan Kai , Cui Wen Shuai
Published: September 2014

The artificial potential field method has been extensively used in mobile robot path planning for its characteristics of simpleness, high efficiency, and smooth path. In this paper, to solve the problem of local minima in traditional artificial potential field method, A modified form of repulsion function is proposed. A detour force is added to the repulsion function, the problem of local minima can be solved effectively. In the end, with the help of Matlab software simulating, the result shows that this method is simple and effective.
Dynamic Stress Concentration of a Circular Cavity Subjected by Steady Plane SH Waves in an Elastic Quarter with a Semi-Circular Canyon
Authors: Qi Hui , Cai Li Ming , Pan Xiang Nan , Gao Chun
Published: September 2014

Steady state responses of a circular cavity and a semi-circular canyon subjected by plane SH wave in an elastic quarter are presented by using Fourier-Hankel wave function expansion method and image method with Fourier series expansion on the boundary conditions to determine linear algebraic equations of unknown wave function coefficients. Especially, displacement and stress component expressions are formulated for incident, reflected, scattering waves, respectively. This method can provide an analytical ideas and methods for further studies of elastodynamic interface problems.
Research on Knowledge Resource Clustering Based on K-MEAN Algorithm
Authors: Zhuo Xian De , Cui Wei , Qiu You Chun
Published: September 2014

The key of knowledge resources polymerization is to cluster the knowledge resources exist in document form, knowledge document set is divided into some clusters, require the similarity of document content within the same clusters as large as possible, and the similarity between different clusters as small as possible. In this paper, using the k-mean algorithm to cluster research knowledge resources, according to the characteristics of knowledge resources, and people in the query data mainly use keywords to query characteristics, first to clustering the keywords, map directly by the clustering results of keywords to get the initial clustering of knowledge resources, and then based on the membership degree of knowledge resources optimization clustering set.
The Algebraic Algorithm for Solving the Path Planning Problem of a Weighted Directed Graph
Authors: Li Yan Ping , Wei Kun , Wang Dan
Published: September 2014

In this paper, an algebraic algorithm is developed with Min-algebra for the path planning problem of a simple weighted directed graph. According to the algebraic algorithm, the shortest path and its minimum steps will be concluded through the direct distance matrix A. Experimental results show that the algebraic algorithm is suitable for the path planning problem. The shortest path and its length can be gotten rapidly based on the proposed algorithm. Finally, the results are compared to those obtained by the conventional Dijkstra algorithm.
Approximation Analysis for a New Kind of Neural Network Using Rational Spline Weight Functions
Authors: Zhang Dai Yuan , Hou Shan Jiang
Published: September 2014

To describe the performance for a new kind of neural network, This paper discusses the approximation of the neural network using a kind of rational spline weight function. The rational spline consists of piecewise rational functions with cubic numerators and linear denominators. The theoretic formula of approximation is proposed and an example is also given. It can be concluded that this new neural network can get very high training accuracy.
Kinematics Characteristic of Exoskeleton Walking Robot for Older People
Authors: Chen Yong , Lin Sheng , Li Rong Hua , Zhang Lian Dong
Published: September 2014

The movement processes of the older people during walking on level ground were captured by the high-speed video camera with the speed of 500 frames per second. The gait parameters of the older people during walking on level ground were obtained by the quantitative analysis of the successive photographs captured by the high-speed video camera. Kinematics features of the older people during walking on level ground were discussed. Along with the growth of the age, step velocity, step frequency and step length were reduced, and gait cycle was rising. According to the morphology of the older people during walking on level ground, a mechanical model was put forward to aid the design of the exoskeleton walking robot. The couple walking characteristics between the older wearer and the exoskeleton walking robot was studied. In the single support phase of the exoskeleton walking robot, the change of the hip joint was gradually decreased to provide the driving force for the stable walk, the change of the knee joint was increased and following decreased and then increased to forward the older people's body center of gravity, and the change of the ankle joint was gradually increased to reduce the impact force of the ground. The results would provide the basic theory to bionic references for improving the reasonable properties of the exoskeleton walking robot. This work would provide certain theoretical and practical base in developing the exoskeleton walking robot on bionic structural design.
Research on Security of Database in Cloud Computing Environment
Authors: Wang Li Hui
Published: September 2014

Cloud computing is one of the newest popular technologies in the era of big data, and the problem of database security under the circumstance cloudy computing is one of the key problems of restricting the development and application of cloudy computing. This paper introduces the concept and features of cloudy computing firstly, and then the defect of cloudy database is analyzed, in the end we put forward to several security policies to solve those current problems.
Selective Encryption Algorithms of MPEG2 Digital Video Server Based on Location Files
Authors: Zhong Ming , Ran Xu , Cheng Fang , Jiang Pei Pei , Jin Wei Hong
Published: September 2014

The Digital Video Server (DVS) isspecial equipment used to compress, store and process video and audio data, while MPEG2 is one of the most popular formats.Based on the characteristics of DVS and MPEG2File,the author has proposed aselective encryption algorithm based on Location File, given the encryption renderings by experimentation and analyzed its compression ratio, storage space, quantity of encrypted data, time of encryption and security and other functions in the paper.
CFD Modeling of Hydrogen Releases and Dispersion in the Exhaust Pipe of Rocket Tank
Authors: Chen Jing Peng , Li Yuan , Cui Cun Yan , Jiang Yun Chun , Li Xing , Li Xiao Yong
Published: September 2014

The dispersion process of hydrogen leaking from the exhaust pipe of rocket tank is analyzed with numerical simulations in order to assess hazards and associated risks of a leakage accident in the present study. The temporal and spatial evolution of the hydrogen concentration at the different tank pressures is predicted numerically. The results show that when the tank pressure is 0.35MPa, the farthest dispersion distance of flammable region in the horizontal direction is 156m within 15s of leakage, simultaneously, the vertical distance upward is 80m and the vertical distance downward is 51m. Additionally, due to the assumption that the tank pressure is constant, the leakage rate is constant and extremely high, buoyancy can’t impel completely hydrogen clouds to diffusion upward. The present numerical results can be useful to analyze safety issues in the aerospace field.
The Research in Satellite Television Channel Landing Fee of China Based on PageRank Algorithm
Authors: Wang Xin , Liu Jian Bo , Chai Jian Ping , Wang Han Lei
Published: September 2014

While providing signal transmission services for stv channels (satellite television channels), catv operators in the area of broadcast and television in China raised a controversial issue about the standard of charging channel operators landing fee. To address the problem, this passage suggests a proposal about charging landing fee according to the seat value, which assessing each channel’s seat value based on the data of the audiences and the pagerank algorithm as the index. The result shows that our proposal improved the audience rating of channel while bringing a greater economic benefit to catv operators compared with the traditional standard of charging fixed landing fee.
Algorithm Analysis on Internal Automatic Calibration of Category Theory Based on Nonlinear Time Series Model
Authors: Yu Jian Hong
Published: September 2014

Category reflects the basic concept of nature and universal connection, and is the logical form of human rational thinking. In this paper, through the rich practical experience in the field of English teaching, on the basic of prototype category theory to study of English grammar teaching methods, the author attempts to explore the scientific and rational English grammar teaching concept and strategy.
Numerical Simulation Analysis on Starting Transient Stress Based on Mobile Computing
Authors: Wen Fang
Published: September 2014

Mobile computing environment is relatively complex environment. This paper uses the optimization mathematical model step by step to improve the mobile computing algorithm, and improves the interoperability of mobile computing. And we introduce this model into the starting transient dynamics analysis for athletes, and establish the analysis system of starting transient force and speed. In order to verify the validity and reliability of the system, we use Web development platform to test the system, and use the VC software to calculate the maximum speed of athletes in different pedal angles. Through calculation we find, the instantaneous speed of athletes is different with different pedal angel. When the pedal angle is 45 degrees, the speed of athlete is faster than that in 30 degree and 60 degree. It provides the technical reference for the research on athletes starting running optimization scheme.
The XML Data Mining Research Based on the Multi-Level Technology
Authors: Huang Su Yu , Hu Ping Fang
Published: September 2014

XML has become the standard form of data exchange, more and more data in this form for storage, implying a lot of knowledge in these data information, the need for data mining processing. For XML data mining method at present, most of the need is to pass the XML data into relational data pretreatment process, using the traditional method for processing, data mining process is complex and the effect is not ideal. Therefore, there is an urgent need some effective methods for XML data mining directly.
The Digital Protection Technology Research in Folk Craft
Authors: Zhou Ming Нong , Yuan Jing
Published: September 2014

With the development of the society, the study of folk craft and protection still appears imminent. We not only should attach importance to and protection of folk art, and to look for more advanced and effective means of protection. On the protection and development of national folk craft, directly involved in the sustainable development of national culture. Using the digital technology can realize the collection and protection of the folk craft. In this paper, under the background of digital folk craft as the research object, the digital protection of folk craft key technology and related application problem discussed in this paper, aimed at to protect, inherit and carry forward the near extinction of folk cultural heritage to provide the reference.
A New Algorithm for Euclidean Shortest Path of Visiting Segments in a Polygon
Authors: Wang Li Juan , Deng An Sheng , Jiang Bo , Wei Qi
Published: September 2014

Let s and t be two points on the boundary of a simple polygon, how to compute the Euclidean shortest path between s and t which visits a sequence of segments given in the simple polygon is the problem to be discussed, especially, the situation of the adjacent segments intersect is the focus of our study. In this paper, we first analyze the degeneration applying rubber-band algorithm to solve the problem. Then based on rubber-band algorithm, we present an improved algorithm which can solve the degeneration by the method of crossing over two segments to deal with intersection and in our algorithm the adjacent segments order can be changed when they intersect. Particularly, we have implemented the algorithm and have applied a large of test data to test it. The experiments demonstrate that our algorithm is correct and efficient, and it has the same time complexity as the rubber-band algorithm.
A Key Management Algorithm Based on Fingerprint and Fuzzy Decision
Authors: Zhao Wei Zhou , Zhang Hui , Wang Hui Zhen , Jing Hui Li
Published: September 2014

This paper presents an algorithm about key management including key generation and key recovery in cryptosystem based on fingerprint and fuzzy decision. Traditional key for the encryption and decryption is remembered by a trusted person, or stored in a safety location. The key may be lost or misused for the person’s self-ish desire. Sharing secret algorithm is used to prevent from misusing in a single management, and fuzzy vault scheme is used to avoid the disadvantage of numerical password. But the proposed method is not an easy combination of fuzzy vault and sharing secret. To keep from the collusion among some persons, a simple fuzzy decision is added in the proposed method. Security analysis and experimental results are given to show the proposed algorithm is feasible and safe for key management in cryptosystem.
Research of Hydraulic Support Control System Based on Controller Area Network
Authors: Cheng Xiao Fei , Guo Jun Dong , Liu Shu Long , Cui Xian Ping
Published: September 2014

According to the characteristics of hydraulic support intelligent control, the hydraulic support control system is designed and analyzed based on Controller Area Network (CAN) technology. Through the characteristics of CAN-bus network communication, the host computer communication and monitoring requirements is researched, and the mission of function is established. The data transmission program is designed under MSComm ActiveX which accomplishes stable communication function. Based on hydraulic test bench, the reliability of data transmission is verified which provides some guidance for the development of the intelligent control.
Domain Concept Filtering Method Based on Word Embedding and Statistics
Authors: Li Ying , Cui Shi Chao , Lv Zhi Sheng , Wang Yong Bin
Published: September 2014

On the basis of summarizing the concept filtering methods in the current Ontology learning, a method of domain concept filtering in the semantic level based on combination of word embedding and conventional statistics was presented, which can identify low-frequency words well, and as far as possible to ensure universality. Through experimental contrast, the proposed approach was proved to have a higher accuracy rate than the ways based on statistics.
Research on Video Segmentation Based on Static Background
Authors: Chai Xiao Li , Zhang Yan , Si Jin
Published: September 2014

Video segmentation algorithm based on background reconstruction, and the statistical method of cumulation obtain to complete occlusion of background information domain by, using video object in the current frame and the background image subtraction, successfully overcome the occlusion problem,and in a static background, more accurate segmentation results can be obtained for the moving target.
Ontology Self-Perfect Based Lexical Chain for IE
Authors: Gao Rui , Zhang Yan , Deng Hua , Si Jin , Meng Xiao
Published: September 2014

The perfection of an ontology knowledge base is essential to the research of ontology-based information extraction (IE). Information extraction in short documents with sparse vocabularies in the ontology will cause the problem of semantic deviation. That will affect the indexes of information extraction in short documents. In this paper, we propose a method of using lexical chain to perfect the ontology knowledge base automatically in order to cover the shortage of manual constructed ontology. We can solve the problem of semantic information deficiency caused by the sparse vocabulary in the ontology effectively through the use of this method. We proved the validity of our method through the series of experiments we conducted.
Effective Analysis Method of Mobile Cloud Computing
Authors: Ping Jin Zhen , Yu Li Li , Wang Qian , Wu Xue Fang
Published: September 2014

Mobile cloud computing has become a new paradigm, because of rapid growth of mobile devices such as smart mobile phone performance and cloud computing. This mobile cloud environment, with various kinds of service and IT resources according to the user's requirements, effectively provides services and IT resources are necessary. Therefore, in this paper we propose the use of frequency mobile cloud based analysis and filtering method of computing resources to distribute resources and services to users based on context-awareness information. Introduction
A Preconditioned AOR Iterative Method for an H-Matrix
Authors: Zhang Shi Guang
Published: September 2014

The paper presents a preconditioned AOR iterative method if preconditioner is a general upper triangular matrix for solving a linear system whose coefficient matrix is an H-matrix. In addition, we discuss the convergence of corresponding methods. Finally, a numerical example is also given to illustrate our results.
Design and Simulation of Fully Mechanized Hydraulic Support
Authors: Wang Pei Qin , Xu Zeng Shun , Sun Zuo Feng , Jiang Hui Yuan
Published: September 2014

Based on theoretical calculation, virtual prototype technology and the method of finite element analysis, the fully mechanized hydraulic support is designed and simulated. Firstly, the four-link mechanism of hydraulic support mechanical model and mathematical model are established, the demission is confirmed by design calculation of structure. Secondly, through the establishment of rigid parameterized virtual prototype model of the system, dynamics simulation analysis and research is finished based on ADAMS on the mechanical properties. Finally, based on FEA, the modal calculation of key components is completed by using ANSYS.
A Novel Model-Based Approach in Classification Using Extension Distance
Authors: Zhang Hai Tao , Wang Bin Jun
Published: September 2014

In order to solve the low efficiency problem of KNN or K-Means like algorithms in classification, a novel extension distance of interval is proposed to measure the similarity between testing data and the class domain. The method constructs representatives for data points in shorter time than traditional methods which replace original dataset to serve as the basis of classification. Virtually, the construction of the model containing representatives makes classification faster. Experimental results from two benchmark data sets, verify the effectiveness and applicability of the proposed work. The model based method using extension distance can effectively build data models to represent whole training data, and thus a high cost of classifying new instances problem is solved.
Parameters Calculation and Application of Preisach Hysteresis Model Based on Combination of Genetic Algorithms and Neural Networks
Authors: Li Jing Song , Yang Qing Xin , Zhang Chang Geng , Li Yong Jian
Published: September 2014

Based on the static mathematical model of Preisach hysteresis, this paper presents a modified method, combining Genetic Algorithm and Neural Network Method to get three conventional parameters of the Preisach hysteresis model under alternating magnetization. In the proposed method, considering the symmetry of the major hysteresis loop, a complete fitting hysteresis loop is obtained through the neural network training to find the optimization function and through the genetic algorithm to find the function extreme. The numerical fitting results obtained by this method are found to be in good agreement with the measurement data and verify the theory.
Analysis of Spring Type FDC Filling Capping Machine
Authors: Zuo Yan Rui
Published: September 2014

Introduces the working principle of capping machine, the defects caused by the deficiency of the actual production situation of working medium pressure covermachine and its compensation spring, redesign compensation spring, and the design, the factors should be considered in a simple discussion.
Scheduling a Single Machine with Job Rejection and Multiple Common due Dates Assignment
Authors: Fang Zhuo , Luo Cheng Xin
Published: September 2014

This paper studies a single machine scheduling with job rejection and multiple common due dates assignment. A job is either rejected, in which a rejection penalty has to be paid, or accepted and processed on the machine. There is a cost if the job is completed prior or after the due date. The objective is to determine the optimal due dates, the set of jobs assigned to each due date and the optimal sequence of jobs to minimize a total costs based on earliness, tardiness, multiple common due dates and rejection cost. We provide dynamic programming algorithms and show that the problem is solvable in polynomial time.
The Application Research of Fuzzy C Means Clustering Algorithm in Middle School Students' Network Learning Media Preference
Authors: Jiang Yu Hua
Published: September 2014

It is an inevitable result of the education informationization for middle school students to carry out network learning. In order to obtain good network study effect, media preference study of middle school students is very necessary. Media preference refers to students’ fond degree of media in learning network resources. From media preference, students’ personality characteristics of media can be better understood to help network system choose more suitable teaching method for high school students. This paper, by using Fuzzy C Means clustering algorithm, studied media preferences, and got reasonable results, thus provides personalized learning basis for network resources.With the development of information technology, network distance education is developing rapidly as a new means of education and way of education. However, most of the network resources learning rely mainly on students' autonomous learning, and did not provide good personalized learning style and environment. Media preference degree is an important basis of personalized teaching, so how to carry on reasonable analysis on media preference is very important. Students’ media preference behaviors are stored in network background. By using FCM (Fuzzy C Means clustering algorithm), reasonable analysis for media preference can be done. The analysis of the results can be used as the basis of personalized learning to better promote personalized online learning.
Hyperspectral Satellite Remote Sensing Dust Aerosol Depth: A New Retrieval Method Based on SVD
Authors: Lv Rui Ling , Deng Xiao Bo , Ding Ji Lie , Liu Hai Lei , Huang Qi Hong
Published: September 2014

Airborne dust aerosol plays an important role in the climate system, as it not only impacts global atmospheric climate directly or indirectly, but also influences human life and transportation. Satellites are increasingly used to obtain information on aerosol properties such as the aerosol optical depth. In this paper, dust AOD in Beijing is retrieved from the hyperspectral observed data of The Atmospheric Infra-Red Sounder (AIRS) by using singular value decomposition (SVD) decomposition method. As a result, the inversion by using SVD is good with ground-based observations of Aerosol Observation Network (AERONET) data, which shows that the algorithm is feasible, and can well distinguish from the influence of surface emissivity and gas absorption.
Ant Colony Algorithm Based on Semantic Relations and its Applications
Authors: Yang Yong Jian , An Jiu Xuan , Han Hong Ying
Published: September 2014

Ant colony optimization algorithm (ACO) is a good method to solve complex multi-stage decision problems. But this algorithm is easy to fall into the local minimum points and has slowly convergence speed, According to the semantic relations, an improved ant colony algorithm has been proposed in this paper. In contrast with the tradition algorithm, the improved algorithm is added with a new operator to update crucial parameters. The new operator is to find out the potential semantic relations behind the history information based on ontology technology. Ant colony optimization can be applied to many engineering fields,taking the Traveling Salesman Problem (TSP) as example, Our experiments show accuracy of improved ant colony algorithm that is superior to that obtained by the other classical versions, and competitive or better than the results achieved by the compared algorithm, this improved algorithm also can improve the searching efficiency.
Mining Repetitive Sequential Patterns without Overlapping from Sequence Database
Authors: Han Xi Qing , Gong Yong Shun , Dong Xiang Jun , Hou Rui Lian
Published: September 2014

Taking repetitive property into consideration can help the analyst to capture more useful information. However, most of the existing algorithms of repetitive sequence mining are used for DNA or genome, and there are very few researches to mine such patterns from sequence database. So in this paper, we (1) propose a method to clearly determine the times that a sequence appears in a data sequence; (2) propose a method to ensure the support range of repetitive sequence still within [0,100%] so as to let users set up minimum support threshold in a traditional way; and (3) propose an algorithm, RptGSP, to efficiently mine such repetitive patterns in sequence database by improving the classic algorithm GSP. Experimental results show that RptGSP is very efficient.
Analysis and Research on the Deformation of Flat Wall with Coating in the Tank
Authors: Bian Pei Ying
Published: September 2014

The flat wall be used in the design of pressure tank, the flat wall is the weakest part in the tank, therefore, the most important is how to improve its stiffness and strength. The surface is sprayed that uneven superhard films is used to improve the stiffness and the strength base on membrane analogy theory in elastic mechanics. The method is simple, convenient and practical. The simulation results prove that the method is ideal using Analysis.CLC:TH140 Document identification:A
The Research on Interior Permanent Magnetic Synchronous Motor MTPA Control
Authors: Zhang Bo Ze , Ruan Yi
Published: September 2014

The research on maximum-torque-per-ampere (MTPA) control of Interior Permanent Magnetic Synchronous Motor (IPMSM) is presented in this paper. Based on the IPMSM mathematical model in d-q reference frame, the equations of d, q axis currents and magnetic torque were derived by using extreme value principle. Thus, this algorithm realizes the IPMSM MTPA control. Under the condition of same magnetic torque, the IPMSM MTPA control can minimize the input current magnitude, decrease the IPMSM power loss and the inverter capacity, increase the system efficiency and improve the dynamic performance of system. At last, the paper built simulation model and verified the MTPA algorithm above is correct.