bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Assessment of Computer Aided Color Design
Authors: Zhang Hui Shu , Zhuang Da Min , Ma Ding
Published: July 2011

At present the capacity for computer aided color design both at home and abroad is relatively weak. The paper studies one aspect of it, that is, the objective assessment of computer aided color design. It takes color matching schemes of cockpit information display as an example to carry out the experiment of assessment.The experiment mainly deals with the assessment of the color matching schemes of the primary flight display. Four-dimensional assessment indicators are used to evaluate the quickness of information recognition for pilots, through which the order of excellence of the color matching schemes is achieved. Based on the findings of the experiment, the article proposes the generalized model framework for the assessment of CACD. The framework has four parts. Color design of human-computer interface of the prototype product; the application of computer software to the design of color schemes; Computer aided assessment on color design, including experiment design, the application of computer programming to carrying out the simulated experiment which is based on the prototype and the application of computer software to statistical analaysis of the data collected; Objective assessment on the color design schemes. This framework can give an objective description of the color design, which can be applied to various products. However, different products should design different experiments. This framework provides new references for the study in the field of the CACD.
Stock Price Index Prediction Based on Improved SVM
Authors: Shi Jin Yan , Li Xue , Li Yan Xi
Published: July 2011

Accurate stock price predicting is a key problem to the financial field. Comparing with the traditional stock price predicting models such as GARCH models and neural networks, the theoretical advantage of applying support vector machine (SVM) to stock price predicting highly depends on solving the problem of kernel function construction and parameter optimization. For the effect of the kernel function in the SVM classification model, a hybrid kernel function is presented. In order to optimize and adjust the important parameters during the process of building the hybrid kernel function, an improved particle swarm optimization which has better global search ability is used. Experimental results about stock price index predicting show that this method has higher prediction accuracy compared with the traditional kernel functions.
Error Estimates of H1-Galerkin Expanded Mixed Finite Element Methods for Heat Problems
Authors: Che Hai Tao , Li Mei Xia , Liu Li Juan
Published: July 2011

H1-Galerkin expanded mixed element method are discussed for a class of second-order heat equations. The methods possesses the advantage of mixed finite element while avoiding directly inverting the permeability tensor, which is important especially in a low permeability zone. H1-Galerkin expanded mixed finite element method for heat equations are described, an optimal order error estimate for the methods is obtained.
Using UML as Front-End for PLC Program Design
Authors: Zhang Chong Ming , Fang Zu Hua , Wang Chun Mei , Ni Ji Feng
Published: July 2011

To minimize the influence of experiential factor and guarantee the software quality from the design phase, with the aid of unified modeling language (UML), an object-oriented design method for PLC program is presented. With UML as design tool, class diagram and state machine diagram are chosen respectively to describe the static structure and dynamic behavior of the PLC based control system, and PLC ladder diagram is acquired from state machine diagram subsequently. With the combination of object-oriented technology, UML and classic PLC design technology, the software reliability of PLC based control system is promoted, and the application area of object-oriented technology and UML is extended.
A New Acoustic Emission Source Location Method Based on the Linear Layout of Sensors
Authors: Zhang Zhong Ning , Tian Jian
Published: July 2011

For the problem of acoustic emission source location, it has always been one of the important issues to look for simple and convenient layout of sensors. This paper presents a new time difference method for locating acoustic emission source in a plate, which the sensors for locating are arranged in a straight line, and does not need the pre-determining of the acoustic wave propagation velocity. The method makes the acoustic emission source locating task simplified.
Comfort and Energy-Saving Intelligent Shutter
Authors: Chen Su , Wang Dong Xing
Published: July 2011

Most currently used shutters are manually operated. The design of an intelligent shutter has been proposed. The intelligent shutter can be powered by a solar battery. Photosensitive resistors have been used to determine if it is in daytime or nighttime, if it is sunny or not, and if the light is turned on or turned off. Digital temperature sensors have been used to detect the indoor temperature and the outside temperature. They are also used to determine the current season. The intelligent shutter is automatically controlled according to the above information. It is turned off at night and is set in sleep mode to save energy. It is turned on partially on sunny day in summer. In rainy day, the shutter is turned off while the indoor light is on. The intelligent shutter can also be controlled using a wireless remote controller, which makes it very friendly. It is comfort and energy-saving using the intelligent shutter. Experiments have demonstrated the applicability of the design.
Application of Multi-Fractal Spectrum to Analysis the Vibration Signal of Power Transformer for the Detection of Winding Deformation
Authors: Wang Feng Hua , Zhang Jun , Jin Zhi Jian , Li Qing
Published: July 2011

The method of monitoring the tank vibration is becoming an effective method to detect the winding deformation of power transformer for the reliable and secure operation of power system. In order to further identify the relationship between the winding deformation fault of power transformer and the measured tank vibration signals, the short-circuit test is done in a 220kV transformer with the developed vibration measurement system and the vibration frequency response curves for some pre-setting winding deformation faults are obtained. Multi-fractal spectrum is applied to analyze the of the obtained vibration signals when winding conditions of power transformer are changed. It is shown that multi-fractal spectrum can effectively indicate the geometric structure features of vibration signals. The parameter variations of multi-fractal spectrum are agreed well with the preset winding faults, which provides another method for the feature extraction of vibration signal to detect the winding deformation of power transformer.
Discuss the Design Method of Topology Discovery System Based on SNMP
Authors: Xue Su Jing
Published: July 2011

Since the network was born, the network management has been the material effect factor which the computer network develops. Taking the reasonable network topology technology has already become the entire network management foundation,and for the isomerism, diverse and changeable network, the importance of network topology survey discovery is also enhancing. studying the highly effective network topology discovery method has the quite vital significance and the value to guarantee the network effective and safe operation.
Network Security Situation Awareness Model-Inspired by Immune
Authors: Luo Yi Xiang , Zhao Ming Hua , Zhang Qun Yan , Zou Ajin
Published: July 2011

Network security situation awareness is the pivotal technology of building the next generation active defensible network, which has been got widespread concerns by experts and scholars. Inspired-by artificial immune, an immune-inspired network security situation awareness model, referred as Ineim, was given. The real-time network security situation awareness equations were built up, which can exactly compute security situation awareness of the host and network. Both the theory analysis and experimental results prove that Ineim provides a positive and active network security method.
Research of Task Scheduling Algorithm Based on Parallel Computing
Authors: Liu Yi Jun , He Xiao Man , Feng Dan , Fang Yu
Published: July 2011

Through the research on the existing parallel computing technologies, this paper bas an in-depth research and analysis on the status, issues to be addressed and functional features of parallel computing task scheduling, and for the current problems existed, presents a solution. The program can better reflect the heterogeneity and dynamicity of the parallel resources, as far as possible ensure the reliability and stability of the selected resources, while reducing task completion time and meeting user requirements for service quality.
Topological Optimization Based on Topologically-Critical Nodes in Unstructured P2P Network
Authors: Fan Wei , Ye Dong Fen , Yang Ming Xia , Zhang Lu
Published: July 2011

In order to ensure that each node is connected with one another in P2P network and strengthen the invulnerability of network topology, in this paper, topological optimization in unstructured P2P network was studied. Based on the weakest part in network---topologically-critical node, existing algorithm to search and eliminate topologically-critical nodes was analyzed and improved. The experiment results show that the improved CAM algorithm (ECAM algorithm) can greatly reduce the network consumption and communication costs and improve discovery efficiency while ensuring the discovery accuracy.
The License Plate Recognition Technology Based on Digital Image Processing
Authors: Zhu Juan Hua , Wu Ang , Zhu Juan Fang
Published: July 2011

A rapid and convenient method of license plate recognition is discussed. The color plates are preprocessed by transform gray-scale transformation and image enhancement. The license plate is located by edge detection and region search algorithm, and the character segmentation is made by projection. Finally, the template is matched, and the license plate number is recognized quickly and accurately. The experiment shows that the method used in this paper can achieve better recognition results.
Research and Implementation of XML Keyword Search Algorithm Based on Semantic Relatives
Authors: Shen Ming Yan , Li Xin , Meng Xiang Fu
Published: July 2011

The XML keyword search has been used widely in the application of XML documents. Most of the XML keyword search approaches are based on the LCA (lowest common ancestor) or its variants, which usually leads to the un-ideal recall and precision. This paper presents a novel XML keyword search method which based on semantic relatives. The method fully considers the semantic characteristics of the XML document structure. Based on the stack, the algorithm is also presented to merge the semantic relative nodes containing the keyword as the results of XML keyword search. The results of experiments have been identified the efficient and efficiency of our method.
Fast Algorithm of the Traveltime Calculation Based on Binomial Heap Sorts
Authors: Wang Juan
Published: July 2011

Traveltime calculation has been applied in many project extensively such as earthquake simulation, prestack migration, tomographic imaging, velocity analysis. finite-difference solution of the eikonal equation along expanding wavefronts had two prominent characteristics:one was wavefront points update very frequent, Usually insert some new wavefronts points after extacting one minimum point every time;the other was that the new calculated wavefronts’s traveltime was usually large.Therefore,the paper introduced binomial heap sorts method, optimizated the method of inserting new wavefronts and removing the minimum point in wavefronts, ensured the search efficiency, and had good time complexity.
An Image Mosaic Algorithm Taking into Account Speed and Robustness
Authors: Zhang Li Juan , Yang Jin Hua , Wang Xiao Kun
Published: July 2011

In this paper, a new image mosaic algorithm is proposed by studying the advantages and disadvantages of existing image mosaic algorithm. Firstly, finding a certain column at last frame in the two images which to be mosaic, making the gray difference between this column and other ones most obvious, that is to find the column whose feature is the most obvious as the matching template. Secondly, the correlated calculation is conducted between this column and each one at the next frame in turn,then the column that is the most relevant to the image at the next column is found and it is the best match one of the two images, thus the image mosaic is completed. Experiments show that the image mosaic can be successfully carried out by means of the algorithm.
An Electronic Commerce Recommender System Based on Product Character
Authors: Chen Shen Bao
Published: July 2011

In the increasingly competitive environment, in order to effectively preserve the user, preventing customer churn, increase sales of e-commerce systems, e-commerce recommendation system in the importance of the products has been revealed. Recommendation system in e-commerce system can provide commodity information and advice to help customers decide what products to buy, analog sales staff to complete the purchase of goods to the customer referral process so that customers feel completely personalized service. To improve the item-based collaborative filtering algorithm, an electronic commerce recommendation system based on product character is presented. This approach revises the original similarity using product character, takes into account the influence of product character and customer rating, and combines the customer rating similarity and the product character similarity.
ZPD Incidence Development Strategy for Demand of Internet in Life-Science Teaching of Comprehensive Regional Higher Education Institutes
Authors: Li Ying Ming
Published: July 2011

Many regional higher education institutes (mainly be regional university) have been founded from 1998 in China. From 2006, most of those regional higher education institutes promoted to be comprehensive regional higher education institutes (CRHEIs) in succession. Students in those CRHEIs become more and more, and the quality of teaching should be improved. In this paper, we analyses internet–based teaching and learning issues at CRHEIs level and comprehensive nationwide higher education institutes (CNHEIs) level. We get that internet integration in CRHE need to be in lined with proper strategy.
Development Strategy for Demand of ICT in SMEs of PRC
Authors: Li Ying Ming
Published: July 2011

Information and Communication Technology (ICT) Penetrates into All Aspects of Industrial Production Worldwide. with Time Passed, ICT Has Changed the Whole Process of Industry. in the past Years, Small and Medium-Sized Enterprises (SMEs) Have Played an Important Role in the Economy. but Little Attention Has Been Paid to the Usage of ICT in SMEs in China. in this Paper, we Analyses ICT–based Issues from Technicians in Linyi Yelong General Machinery Limited Company. the Methodology for Carrying Out the Tasks Mainly Contains Questionnaires According to Normative Delphi Technique. the Paper Ends with Recommendations which SMEs Authorities Should Take in Order to Properly Integrate ICT in their Production.
ZPD Incidence Development Strategy for Demand of Information Technology in Engineering Teaching: Comparing Teachers Belong to Different University
Authors: Chen Yan Hui
Published: July 2011

Many regional higher education institutes (mainly regional university) promoted to be comprehensive regional higher education institutes (CRHEIs) from 2006 in China. Students in those CRHEIs become more and more, and the quality of teaching should be improved. This paper reports on findings amongst staff in adopting information technology at Linyi University and Southwest University. The methodology for carrying out the tasks involved using questionnaire that assessed views of staff in their use of email, software tools and internet facilities for teaching and learning issues. We discussed these issues using normative Delphi method. The paper ends with recommendations for future research.
Modeling of SVM Diode Clamping Three-Level Inverter Connected to Grid
Authors: Guo You Gui , Zeng Ping , Zhu Jie Qiong , Li Li Juan , Deng Wen Lang , Blaabjerg Frede
Published: July 2011

PLECS is used to model the diode clamping three-level inverter connected to grid and good results are obtained. First the output voltage SVM is described for diode clamping three-level inverter with loads connected to Y. Then the output voltage SVM of diode clamping three-level inverter is simply analyzed with loads connected to △. But it will be further researched in the future. Third, PLECS is briefly introduced. Fourth, the modeling of diode clamping three-level inverter is briefly presented with PLECS. Finally, a series of simulations are carried out. The simulation results tell us PLECS is very powerful tool to real power circuits and it is very easy to simulate them. They have also verified that SVM control strategy is feasible to control the diode clamping three-level inverter.
Fast Restoration Algorithm for Rotational Motion Blurred Images
Authors: Zhou Jian Yang , Yang Yin Tao , Wu Yi Liang
Published: July 2011

This paper first introduces the history and research status of motion-blurred image restoration, and then establishes a rotating image degradation model. we present a fast algorithm for real-time hardware restoration of rotating motion blurred images, the algorithm is simulated and experimental platform is built for the actual verification. Through comparison and analysis of the recovery results, we verify the accuracy of the algorithm, and it shows that this rotational motion blurred image restoration algorithm can receive satisfactory results.
Design of a Random Test Platform for DSP Serials Used in Embedded Systems
Authors: Wei Chi Pin , Li Zhao Lin , Liu Hao , Chen Zhi Xiang
Published: July 2011

Embedded systems with digital signal processor (DSP) become more and more popular for the increasing requirement of supercomputing these days. Efficient development of DSP serials used in embedded systems shortens the embedded system R&D cycle. Functional verification is one of the most complex and expensive tasks during DSP serials design process. A random test platform which is urged for DSP serials verification is proposed in this paper. The platform can automatically generate the random test program. The platform also realized the recording and checking of simulation results, which make the verification more effective. In order to improve the efficiency of DSP verification, a testing experience library has been generated through the testing procedure. This platform can be transplanted for different DSP models easily by updating few modules. According to the verification results, this platform has satisfactory coverage of DSP models.
The Research of Tri-Networks Integration Security Control System
Authors: Zhou Jian , Li Shan Shan , Tan Wei Jie
Published: July 2011

Aiming at face Tri-networks integration demand bearing network/core backbone, carry out research of security control technical structure , key technologies and standards systematic In Tri-networks integration environment, to Build a safer control system that includes Facing the Tri-networks integration of business, network, content, behavior, etc. Research oriented business level controls and abnormal behavior of preventing high-speed low delay safety control equipment, builds the control center system, realize the legality of different modal information content safety monitoring control, network security situation analysis and display, control strategy of unified management and dynamic maintenance, and other functions. validation the functions and performance of security control network system, argumentation the feasibility and evolution ability of the fusion network security control system structure.
Superconvergence Recovery for the Gradient of the Trilinear Finite Element
Authors: Liu Jing Hong , Yin De Cheng
Published: July 2011

For a second-order elliptic boundary value problem in three dimensions, we use an interpolation postprocessing technique to obtain recovered gradients of tri- linear elements over regular meshes. Further, superconvergence of these gradients are proved.
Attribute-Based Cartoon Scene Image Search System
Authors: Deng Li Qiong , Chen Dan Wen , Yuan Zhi Min , Wu Ling Da
Published: July 2011

In this paper, we present an interactive search system of cartoon scène images. Using a set of automatically extracted, semantic cartoon scene images’ attributes (such as category, time and pureness), the user can find a desired cartoon scene image, such as “a pure sky at sunset”. The system is fully automatic and scalable. It computes all cartoon scene images’ attributes offline, and then provides an interactive online search engine. Furthermore, the system contains different kinds of retrieval interface designs which aimed at users. The results show that our system can improve the facility and efficiency greatly.
Study of Java Language Teaching Model in Private Colleges
Authors: Zhan Zhen Zhong , Mu Zhen Dong
Published: July 2011

The purpose of set java language in private college is to train students to use the Java program for software development capability. In this paper, private colleges teaching Java programming status and problems are analyzed and discussed, and some improvements in order to achieve the effect of improving teaching quality.
A Hybrid Personalized Recommendation Method Based on Dynamic Bayesian Network
Authors: Ying Yu Long , Hua Quan Ping
Published: July 2011

With the rapid growth and wide application of electronic commerce, lots of information comes forth to people. However, our experiences and knowledge often do not enough to process the vast amount of information. The problem of obtaining useful information becomes more and more serious. To deal with the problem, the personalized service and recommender system play a more important role in many fields and collaborative filtering is one of the most successful technologies in recommender systems. However, with the tremendous growth in the amount of items and users, most collaborative filtering algorithms suffer from data sparsity which leads to inaccuracy of recommendation. Aiming at the problem of data sparsity, a hybrid personalized recommendation method based on dynamic Bayesian networks is presented. This method uses the dynamic Bayesian network technique to fill the vacant ratings at first, and then employs the user-based collaborative filtering to produce recommendations.
Research on Conversion Method of Ontology Based Formal Requirements Model to UML Requirements Document
Authors: Wang Yu Hua , Yin Gui Sheng , Zhang Hai Tao
Published: July 2011

In the process of requirements modeling based on ontology, the obtained model description is based on application ontology; which is not easy for designer to understand and cannot be converted into requirements specification documents for design. UML is actual standard for object-oriented modeling. For this issue, this paper creates the UML meta-model, and establishes mapping rules description language for application ontology to UML meta-element, which implements the generation of UML class diagrams based on rule, use case diagrams, state transition diagram models and requirements specification documents based on UML.
An Optimization Method on Ground Control Point Distribution
Authors: Yang Guang , Jiao Wei Li
Published: July 2011

With the development of remote sensing, the data quantity of remote sensing image is increasing tremendously. It brings a huge workload to the image geometric correction through manual ground control point (GCP) selection. GCPs automatically selected based on software is one of the effective methods to cut down manual operation. The GCPs obtained from that way is generally redundant. This paper deeply comprehends some existing methods about automatic optimization of GCP, and puts forward a new method of automatic optimization of GCP based on Thiessen Polygon to filter ground control points from the overfull ones without manual subjectivity for better accuracy. Experiments in this paper also demonstrated the relationship between the accuracy of geometric correction and the distribution of GCP. It advances the conception of single GCP’s importance value based on Thiessen Polygon. The paper gives the theory and the flow of automatic optimization of GCPs as well. It also presents an example of the application of this method. In the conclusion, this paper points out the advantages of this method .
On Public-Key Encryption Scheme Based on Chebyshev Maps
Authors: Zhang Lin Hua , Mao Xiu Li , Duan Wan Yu
Published: July 2011

Due to the exceptionally desirable properties, Chebyshev polynomials have been recently proposed for designing public key cryptosystems. However, some proposed schemes were pointed out to be insecure and unpractical. In this paper, we analyze their defects, discretize the Chebyshev maps, generalize properties of Chebyshev polynomials and design an improved scheme. Theoretical analysis shows that it possesses higher security than RSA and experimental results shows it can be implemented easily.
The Research on Semi-Supervised Support Vector Data Description Multi-Classification Algorithm
Authors: Xue De Qian
Published: July 2011

Semi-supervised Support Vector Data Description multi-classification algorithm is presented, in order to solve less labeled data learning, difficulties in the implementation and poor results of semi-supervised multi-classification, which full use the distribution of information in of non-target samples. S3VDD-MC algorithm defines the degree of membership of non-target samples, in order to get the non-target samples’ accepted labels or refused labels, on this basis, several super-spheres constructed, a k-classification problem is transformed into k SVDDs problem. Finally, the simulation results verify the effectiveness of the algorithm.
Reseach on Secondary Cooling Dynamic Control Model in Continuous Casting of Slabs
Authors: Zhang Jian Li , Li Yan Min
Published: July 2011

one improved finite volume method is proposed, expatiating on the basic idea and integrating the partial derivative equation for the secondary spary water dynamic cooling control model. The semi-discrete equation for derivative of time is obtained.Combinating with an introducted slab continuous casting production line in some steel mill, according to the Q235 actual parameters, what is obtained is surface temperature distribution, the changing of surface temperature and the water flow rate because of the varying of casting speed. The results of simulations performed using the mathematical model are validated against the measured values and a good agreement is observed, Verifing the validity of the model.The model occupies less computer memory, solving simple
Study on the AC Electromagnetic Tracking Behaviors Using Finite Element Analysis
Authors: Zhang Li Xin , Cao Quan Liang
Published: July 2011

Electromagnetic tracking systems are often used to track location and orientation of an implantable medical instrument in the human body. This paper presents a 3D tracking system that is based on AC magnetic field transmitting and sensing. The concept and principle to detect position and orientation are introduced. Then the tracking behaviors for different degree-of-freedom (DOF) are investigated using finite element analysis. The tracking errors on the position and orientation accuracy are presented using the equivalent dipole field model and some improving measures are proposed, especially for the tracking at close region. We can find that using the finite element analysis to simulate the mutual inductance between transmitting and sensing coils is an effective method to research the tracking behaviors.
Combining Burst Detection for Hot Topic Extraction
Authors: Ma Hui Fang , Ma Hui Li
Published: July 2011

As traditional text representations are not suitable for online dynamic streams, this paper presents a hot topic extraction technique that can be used for tracking news topics over time. The model combines individual word burst into the document-word vector representation, which can emphasize the temporally features of text streams. An energy ratio threshold based burst detection approach is proposed and TF-PDF is then combined to weigh the terms. Experiment results demonstrate that this model is effective in topic extraction for news stream and it can better improve the clustering performance.
Applying Data Conversion between Excel and Database in .NET-Based Applications
Authors: Shi Xing Jun
Published: July 2011

According to the requirements of most .NET-based Applications, it is necessary to analyses the principles of importing external data to Access database and exporting internal information to Excel achieved by .NET code, when we are dealing with initial data maintenance, data back-up, etc. These principles are used to the practical solutions and the working efficiency can be improved.
The Influence Factors Analysis of Initial Excess Pore Water Pressure Caused by Construction of Shield Tunnels
Authors: Wei Xin Jiang , Chen Wei Jun , Wei Gang , Liu An Yuan
Published: July 2011

Excess pore water pressure caused by construction dissipated, resulting in consolidation settlement. The formula of initial excess pore water pressure around tunnel lining was deduced by stress relief theory, and its formula within the region of its distribution at any point was subsequently deduced by stress transfer theory. By comparing the measured data, shows that the calculated closed to the measured, and with the distance increased the initial excess pore water pressure decreased in a concave curve shape. When the depth of tunnel increased or the diameter decreased, would made initial excess pore water pressure between the tunnel bottom and tunnel center horizon around tunnel lining more different. At a certain depth, the mast initial excess pore water pressure above tunnel axis, away from the axis reduced; showing a similar PECK shape.
Researching and Implementing of Multiple Resources Management Information System of Maoershan Experimental Forestry Based on ArcGIS Engine
Authors: Guo Xu , Liu Zhao Gang
Published: July 2011

The article is based on C# developing platform, ArcGIS Engine developing component，and forest resources survey data of Maoershan Experimental Forestry Center and GIS data，to develop forest multiple resources management system design and implementation.The system implements the query of multiple resources information of Maoershan experiment forest, analysis and decision,including basic GIS functions, themes generation, forest disaster management, fell of felling-area management, and other functions, eventually complete a relatively perfect, mutiple kinds of themes , extendable system of multiple resources information of Maoershan Experimental Forestry Center. The research and implement of this system has certain practical significance to management and investigations of Maoershan Experimental Forestry Center.
Face Localization in Color Images Based on Skin Color and Eye Gradient
Authors: Liang Yun Juan , Wu Xiao Ying , Ma Li Juan , Zhang Li Jun
Published: July 2011

In color images, skin color is the important information on human face. This paper proposes a method to detect and locate human face rapidly based on skin color information and eye gradient. First, normalized RGB space is converted to HSV space; Secondly, the images are pretreated by smoothing and light compensation to overcome the uneven illumination changes, and then the defined skin color model is used to determine candidate regions of the human face, finally the human face is located accurately through eye localization based on gradient template. Experiments show that the method is fast and effective.
Semantic Fusion of Image Annotation
Authors: Wu Xiao Ying , Liang Yun Juan , Li Li , Ma Li Juan
Published: July 2011

In this paper, improve the image annotation with semantic meaning, and name the new algorithm for semantic fusion of image annotation, that is a image is given to be labeled, use of training data set, the word set, and a collection of image area and other information to establish the probability model ,estimates the joint probability by word and given image areas.The probability value as the size, combined with keywords relevant table that integrates lexical semantics to extract keywords as the most representative image semantic annotation results. The algorithm can effectively use large-scale training data with rich annotation, so as to achieve better recall and precision than the existing automatic image annotation ,and validate the algorithm in the Corel data set.
Numerical Simulation of the Transient Flow in a Centrifugal Pump during Regulating Period
Authors: Tang Yue , Liu Er Hui , Tang Ling Di , Hui Wang
Published: July 2011

Centrifugal pump performance has transient effect obviously during rapid changing period and the pump hydrodynamic performance of transient is different from steady-state process. In order to research the speed regulation characteristics and the inner flow mechanism of the centrifugal pump, numerical method of solving the unsteady fluid flow around the accelerating blade was established. The dynamical changes of the pressure and velocity were simulated by Fluent6.2, using standard k-epsilon turbulence model, PISO algorithm. The dynamic mesh technology and UDF were used to deal with the moving boundary caused by changing speed. Simulation results shown that faster angular acceleration made larger pressure fluctuations. Different regulated time had different influence in the system transient characteristics. And the evolution of the internal flow rate present strong transient performance in the regulating process. The study confirmed the feasibility of dynamic mesh method in solving the transient fluid flow during pump regulating period.
Research on the Communication Barriers for Group Decision Support System
Authors: Wang Hong Fei
Published: July 2011

For the Group Decision Support System (GDSS), the problems of the communication barriers are presented in this paper, and the elimination of the influence of individual adaptive attitude is analyzed and studied on group decision. Moreover, a mode of communication with the purpose of reaching an effective consensus is proposed. Additionally, the technical support and network infrastructure to solve the problem are provided in the systematic design of GDSS.
Study on Making Human Morphological Thinking Mode Software with Founder Author Tool
Authors: Chen Zhi Wei , Yao Hong Bo , Xu Hui Yu
Published: July 2011

To improve medical students’ understanding of human body morphology and stimulate their interest in learning with the nine human systems as the center anatomy, histology and embryology, pathology as the whole. Founder Author Tool was used to make human morphological thinking mode software applied in teaching. Through peer review, student survey and feedback on teaching results, the course ware was evaluated. Founder Author Tool used to make human morphological thinking mode soft ware could obtain good results in teaching and won favorable feedback from students. This new thinking mode software used in teaching helps greatly in bettering medical students’ understanding of human body morphology, stimulating their interest in learning and improving the learning efficiency.
Using Line Segment Clustering to Detect Vanishing Point
Authors: Wan Fang , Deng Fei
Published: July 2011

Vanishing point detection is a basic work in camera self-calibration, single view reconstruction and series of images matching. Our research is based on line segments clustering method. First, we scan the image with edge detection algorithm for series of line segments. Then, we construct a similar concept space to classify the segments according to the vector distances. At last, we can use each cluster of the line segments to estimate the responsible vanishing point. For the clusters of the line segments indicate the main direction in multiple lines, the detected vanishing points are principal direction points. From the experiments, we approve our algorithm can acquire accurate position of vanishing points in short time.
Visualization of Soybean Milk Measurement Signal Acquisition Phenomena Based on MATLAB
Authors: He Peng , Zhou Zhen
Published: July 2011

In this research, an approach is described that emphasized using visualization to teach synthetically experiment course. This research discusses the multi-lessons and synthetically education, the way the visualization experiment course overcome the difficulties in organizing teaching contents is used true research items stemmed from teachers. This approach includes allowing the students to select their own choice of accomplishing circuit board manufacture, teaching all signal collection, data acquisition, signal process with the help of conceptual visualization based on Matlab, making the students to come up with hand drawn mathematical result before they start simulation, motivating student searching for new algorithms leading to the creation of the system.
Aesthetic Expression and Aesthetic Value of Heiyi Zhuang
Authors: Huang Yan Mei
Published: July 2011

The article analyzed national aesthetic theory and emotion thinking.The culture system of Heiyi zhuang national minority costume is emotion expression for this national labor people. Heiyi zhuang costume culture was famed ‘living fossil’ of zhuang culture. Heiyi zhuang’s special color aesthetic conscious of making and dyeing cloth have very high lever aesthetic value, and reflecting the history continue of national tradition aesthetic culture system.
Research on Control Algorithm for Automatic Tracking System of Ship-Borne Satellite Antenna
Authors: Wang Chang Shun , Pan Wei Gang , Xiao Hai Rong
Published: July 2011

As the multi-DOF ship motion in the ocean, the ordinary satellite antenna can not be normal used on the ship. A ship-borne automatic tracking system is introduced in this paper. First, the MCU will calculate the satellite antenna pointing solution according to GPS and electronic compass, and then will drive the motors to specified angle according to the azimuth, pitch angle and polarization angle. Finally, the antenna system will track the satellite automatically according to three-axis gyro sensor signals. In order to overcome the sensor drift and get better satellite tracking precision, a conical scan algorithm is used in the tracking system.
Study on Microbiology of Fermented Ham from Tenderloins
Authors: Lu Lun Wen
Published: July 2011

In this study, it is based on the processing theory and equipments for Chinese fermented meat products and western fermented meat products. The result shows that lactic acid bacteria in the process of manufacturing fermented hams have always been in the state of dominant bacteria and maintained a high level. From whether nitrites can decompose protein and fat, etc. aspects conduct strain screenings, and the result shows that, LP and Pc can be used as starters of hams. Although the lactic acid streptococci (St) and La do not break down fat and protein, their resistances to salts and nitrites both are very poor, not suitable for starters of manufactured meats.
MDO-LWIGT: An Mobile Device Oriented Lightweight Interactive Graphics Toolkit
Authors: Pan Hong An , Hua Qing Yi , Chang Yan Shuo , Qi Xiao Dong
Published: July 2011

In the development of interactive graphics application on mobile devices, we are puzzled by two problems: The one is how to make graphics application adapt to the intrinsic limitations of mobile devices; The other one is how to rapidly and effectively build graphics application. This paper proposes a MDO-LWIGT(Mobile Device Oriented Lightweight Interactive Graphics Toolkit) to provide a graphics application model that can help developers rapidly build graphics application on mobile devices. The application based on such a model not only can be adaptive to the limitations of mobile devices but also can effectively represent and manage graphics objects, maitain the dynamic relationship between the application datas related to graphics objects.
Direct Inverse Control for ECRH Voltage Based on ICA-CMAC
Authors: Luo Xiao Ping , Du Peng Ying , Ge Ying Qi
Published: July 2011

The negative high-voltage power supply of Electron Cyclotron Resonance Heating (ECRH) is a nonlinear system with serve sensitivity and it is not well for traditional controller to meet restrict demand on stability and quick response. Based on the concept of credit a novel CMAC is designed to accelerate the convergence of traditional CMAC and also is used as an intelligent controller for the power of ECRH based on the idea on direct inverse control. Experiment results show that ICA-CMAC can control the power of ECRH well with shorter settling time and less CPU consumption thus the validity of ICA-CMAC is determined.
A Fusion CMAC Neural Network Based on Global Dynamic Information
Authors: Ma Zheng Lie , Luo Xiao Ping
Published: July 2011

CMAC neural network has two advantages: the local generalization and no local maximum value. Currently, ICA-CMAC and FCMAC models are used extensively. However, the two models cannot reasonably characterize the direction and magnitude of network weight in the weight correction algorithm. To solve the problem, an improved CMAC learning algorithm is proposed. It takes iterative errors, iteration number and a window function as the performance. Based on information fusion strategy, it introduces global information into the calculation to optimize the network weight. Through a simulation test, it can be found that the model has significant improvement in terms of convergence speed and prediction control.
The Study on Relationship between Financing Constraints and Investment-Cash Flow Sensitivity in Chinese Listed Companies
Authors: Li Chang Chun
Published: July 2011

This paper uses the financial data of all Chinese listed companies to construct two indexes that reflect the degree of external financing constraints faced by firms, using logistic regression model and multiple discriminate analyses respectively. Second, the author examines the relationship between financing constraints and the investment-cash flow sensitivity using OLS regressions. This paper provides evidence that the relationship between financing constraints and investment-cash flow sensitivity is monotonic, which is consistent with the findings of FHP(1988).
Application of IOT Technologies in Campus Security System
Authors: Wang Xiu Ping
Published: July 2011

This paper puts forward an application of IOT technologies in campus security，such as the RFID, wireless sensor networks, Zigbee，and so on, and designs an integrative campus security system including RFID application system, network video monitoring system and fire alarm system, etc. It will contribute to build “safe campus” and “intelligent campus”, and resolve the serious situation facing the campus safety.
Design of Test System for Performance of the Car Vacuum Booster Based on Virtual Instrument Technology
Authors: Huang Da Ming , Yang Chun Lan , Wu Ling Fang , Ma Zhi Feng , Yao Qi Hong
Published: July 2011

Vacuum booster is an important assembly part of the auto brake system．It influences the driving security directly so that it must be tested whether it reaches the design target and the related standards before leaving factory or in servicing in order to eliminate the driving danger．The virtual instrument based on LabVIEW is a kind of advanced technique with powerful analytical ability, flexible configure and rich tool modules providing many advantages for engineering test in virtue of computer and digital signal processing．The thesis based on its advantage to teat the performance of vacuum booster in a simulated work conditions, which is based on the National Standard of GB12676-1999, QC/T 307-1999 and QC/T 308-1999.The test system has been designed with the integration of hydraulic pressure control technology, data acquirisition technology, electro mechanics and virtual apparatus．The result indicated that the test system was reliable and the data acquirisition was accurate．Especially, the system could simulate the instance of auto in the state of long slope braking or frequent braking and has certain superiority compared with existing equipment．
Study on Genetic Neural Network Control Strategy for DC/DC Converter
Authors: Zhou Xi Xiang , Li Jia Sheng , Guo Dan
Published: July 2011

A control method based on genetic neural network is presented to deal with the nonlinear object of the high-power PS-FB-ZVS PWM DC/DC converter. The control system optimizes the initial weight of the BP neural network and PID parameters tuning on line utilizing the genetic algorithm, which directly controls the object in closed-loop and has solved the problem that the controller network initial weight coefficient influences the control effect, thus, the optimal dynamic and steady state performance of the system is ensured. In the MATLAB environment, the control systems consisting of different controllers are simulated, and the output voltage and output current waveforms are obtained when the system is loaded by experiment. The results show that the controller has strong robustness, fast response speed, and small output voltage fluctuations with load changes.
Design and Implementation of Instruments Sharing Management System Based on RFID
Authors: Duan Yan , Wu Jue Heng , Lan Xiu Jian , Zhang Xuan Hong , Chen Chun Yan , Chen Sheng Ping
Published: July 2011

In order to enhance the efficiency and the level of instruments management in colleges and universities, the management system of instruments sharing based on RFID technology has been designed, developed and brought into operation. Automation and intelligentization of lots of work have been achieved such as user authentication of instruments, open reservation of instruments, charge and sharing of instruments, real-time management of laboratory, settlement of expenditure and benefit evaluation, promoting the open sharing of instruments in colleges and universities.
Protocol Design of Inkjet Printing System Based on Petri Nets
Authors: Li Ye Li , Guo Biao , Lu Li Kun
Published: July 2011

This paper defined a kind of communication protocol between the RIP card and the printhead circuit for the inkjet printing system. Protocol project was chosen in the protocol design, for which Petri net was used. After defining the message, the protocol model was established based on colored Petri net with inhibitor arcs. The model has priority and allow different message to transmit on the same data bus subsequently. Though analyzing and simulating in CPN Tools, the model was proved to be able to realize the function.
The Research on Innovating Specialty Curriculum for Information and Computing Science
Authors: Wu Yong , Wang You Qun , Liu Xiang Wei
Published: July 2011

In mathematics field, information and computing science specialty has developed most rapidly. But many universities confront a lot of problems at curriculum design of this subject area since they don’t have adequate experiences in education in information and computing science. Therefore, it leads to close-down of this specialty and waste many resources in some universities. This paper will present a few new ideas of the innovation in curriculum orientation and design in information and computing science in universities.
Redundancy Technology of CAN-Bus Network
Authors: Yu Chuan Qiang , Guo Xiao Song , Wang Yu , Wang Zhen Ye , Wang De Sheng
Published: July 2011

This article classified the CAN bus in accordance with the bus number, and detailedly studied the development status and problems both in single bus redundant system and dual-bus redundant system, moreover analyzed three main issues exist in redundant technique applications with high reliability which are the rapidity and accuracy of network fault detection, and how to improve network efficiency in data transmission and reduce the probability of task conflict, as well as flexible and efficient in design of communication protocol. Finally, the foreground applications of CAN bus in high-reliability field like Aero-Space is summarized.