bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Image Matting
Authors: Singh Sweta , Jalal Anand Singh
Published: March 2014

Digital image matting is the process of softly fetching foreground objects from an image. It has become a widely used application for editing the images and to give special effect in the film production industry. Reducing the cost in film making, giving special effect in movies and editing the images are the main motivations for matting. This paper provides a concise review of various approaches for solving matting problem. These approaches can be broadly categorized into two categories: Trimap-based and Scribble-based matting approaches. This paper also provides strengths and weaknesses of various approaches coming under these categories. Finally, the paper concludes with the comparative analysis of all approaches reviewed under both the categories.
Recognition of Color Objects Using Hybrids Descriptors
Authors: Naji Driss , Fakir M. , Bouikhalene B. , Boutaounte M.
Published: March 2014

In this paper, the authors came up with a different approach based on the combination of the different descriptors. For object recognition, regardless of orientation, size and position, feature vectors are computed with the help of Zernike moments and Centrist descriptors. For a large data base the fact of using the classic descriptors has never been a satisfying method for perfect recognition rates. The authors deduced that the combination of descriptors can have good recognition rates, accordingthe result of a comparative study of the different descriptors and the different combinations (Zernike + Centrist, Zernike + ACP, Centrist + ACP). The Zernike moment with Centrist descriptors ended up being the best hybrid description. For the recognition process, the authors opted for support vector machine (SVM) and Neural Networks (NN). The authors illustrate the proposed method on 3D objects using representations of two-dimensional images that are taken from different angles of view are the main features leading the authors to their objective.
Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data
Authors: Andriotis Panagiotis , Tzermias Zacharias , Mparmpaki Anthi , Ioannidis Sotiris , Oikonomou George
Published: March 2014

While technology matures and becomes more productive, mobile devices can be affordable and, consequently, fully integrated in people's lives. After their unexpected bloom and acceptance, Online Social Networks are now sources of valuable information. The authors therefore use them for tasks varying from direct marketing to forensic analysis. The authors have already seen Social Network Forensics techniques focused on particular networks implementing methods that collect data from user accounts. During the forensic analysis it is common to aggregate information from different sources but, usually, this procedure causes correlation problems. Here, the authors present their method to correlate data gathered from various social networks in combination with smartphones creating a new form of social map of the user under investigation. In addition, the authors introduce a multi level graph that utilises the correlated information from the smartphone and the social networks and demonstrates in three dimensions the relevance of each contact with the suspect.
A Novel Prediction-Based Location Management Technique for Mobile Networks
Authors: Biswash Sanjay Kumar , Kumar Chiranjeev
Published: March 2014

In this paper, the authors have proposed a new prediction-based location management scheme for cellular networks. The current mobile switching centre predicts the previous mobile switching center of user, and then imports the data about the mobile terminal from that. For this purpose it uses a prediction table, which is based on the neighboring location areas. The analytical model and formulation presents the conceptual schema of proposed scheme. The performance comparisons and numerical analysis is helpful to find out the efficiency and effectiveness of the proposed system, with respect to existing location management techniques. It has been observed that, the registration cost, and the network overhead at mobile switching center have been reduced in the proposed prediction-based scheme.
CAM
Authors: Medhat Fady , Ramadan Rabie A. , Talkhan Ihab
Published: March 2014

Sensor nodes of Wireless Sensor Network (WSN) possess very limited power resources normally a battery and a solar cell could exist in some cases, which requires efficient usage of these resources to extend the network's lifetime. Accordingly, several research areas have been investigated to prolong the network longevity, Clustering was proposed to WSN as one of these areas that could help in decreasing the amount of consumed energy. A number of clustering algorithms were devised but to the authors' knowledge, this is the first work to consider clustering in Multimodal WSN, where a node can report more than one feature e.g. temperature and humidity. We compared the two general clustering algorithms K-Mean and Fuzzy C-Means to LEACH-C and LEACH, which are two clustering algorithms specially designed for WSN. Fuzzy C-Means and K-Means showed better performance using the techniques proposed in this work over LEACH-C and LEACH.
TIPA Process Assessments
Authors: Cortina Stéphane , Renault Alain , Picard Michel
Published: March 2014

The goal of this paper is to present how the Tudor's IT Process Assessment (TIPA®) framework can be used to assess and improve the maturity of IT Service Management (ITSM) processes, and how its usage can increase the business value of IT services. This paper starts with a presentation of the current and of the future process assessment standards. Then, it explains how the authors of this paper have applied the ISO/IEC 15504 standard to the field of IT Service Management to create the TIPA framework. The paper also presents how assessing and improving the maturity of ITSM processes can, under certain conditions, impact the quality of the services provided by an IT organization and consequently the value these IT services bring to the business. Finally, the paper finishes by depicting the current situation as well as the future of the TIPA framework.
Online Faculty Development
Authors: Shah Chnimay , Vyas Rashmi
Published: March 2014

Online learning has been found useful for faculty development programs in health professions education. The purpose of this paper is to report the online journal club discussion on the article “Health Professionals for a new century: transforming education to strengthen health systems in an interdependent world” published in The Lancet in 2010. This online discussion was conducted from 15th – 30th August 2012 in the MEU- India Google group. The discussion was divided into two parts and moderated by the authors of this paper. Sixteen medical educators participated in the discussion and there were 63 posts in the two weeks that the paper was discussed. The discussion indicated that there were gaps between health professions education and health needs. Translation of social accountability into action is an important step to bridge this gap. One of the uses of advances in information –technology is to have an online journal club discussion, which could be an effective tool for faculty development.
A Radiologist's Art in CT Images
Authors: Mahant Piyu Deo
Published: March 2014

The story of medical imaging starts on 8 Nov, 1895, when Wilhelm Conrad Röntgen accidentally discovered X rays. Since then it has undergone great technological advancements helping physicians create images of the human body to reveal, diagnose, or examine disease (X-ray, n.d). CT scans combine the use of computers and x-rays to create virtual 'slices' of what is inside our body without cutting it open. Earlier many diseases could only be confirmed at autopsy. In 2010, more than 5 billion medical imaging studies were completed done worldwide (X-ray computed tomography, n.d).
Applying Simulation to Equipment Test and Evaluation
Authors: Li Yi Yong , Zhi Li , Chen Yong , Lin Qi
Published: March 2014

The fundamental purpose of T&E is to provide essential information to decision makers, verify and validate performance capabilities documented as requirements, assess attainment of technical performance parameters, and determine whether systems are operationally effective, suitable, survivable, and safe for intended use. Thus, T&E planning and test results play an important part in the equipment acquisition process. Simulation as a key tool, when properly employed, provides the T&E community with valuable information. However, simulations are not a total substitution for physical T&E events. Careful selection of the simulation, knowledge of its application, and meticulous selection of input data will produce representative and valid results. Application effectiveness of simulations in T&E, including test design and planning, execution, analysis and reporting, is enough discussed.
Rotating Equipment Vibration Monitoring and Analysis System Based on Virtual Instrument
Authors: Deng Ying Fei , Wei Yong Sen , Lu Sen Kai
Published: March 2014

In order to meet the user requirements of the rotating equipment vibration monitoring upgrade project, a distributed vibration monitoring & analysis system based on virtual instrument (VI) technology was developed, which can monitor vibration for multiply equipments and provide a lot of vibration analysis graphics. The system keep use of the old monitoring instrument, from whose BUFFER port or serial port the vibration signals can be collected, thus the upgrade expense is deduced and the upgrading is calm. The using of Lab Windows/CVI software platform not only makes the displaying interface to be similar with the old instrument panel and easy to use for operators, but also greatly shorten the time of development. In this paper, the architecture and the software function implement of the system are introduced. The system has been preliminarily tested in field and the results show that it is feasible and has good practicability.
Stability Analysis of Bridge Crane Hoists
Authors: Song Yun Yan
Published: March 2014

Hoist bridge crane swinging phenomenon often occurs during the operation, making the work more difficult, there is a certain danger. To solve this problem, anti-sway system for overhead cranes depth study to identify the main factors affecting heavy lifting swinging; proposed single neuron PID control strategy, while using MATLAB simulation used to verify the reliability of the method.
Dynamic Characteristics of Aircraft Landing Gear
Authors: Yu Jing Wei , Liu Xiao Feng , Wang Hai Long , Wei Yu Jian
Published: March 2014

Aircraft landing gear can absorb the energy generated and consumed in aircraft landing, taxiing process, thus weakening the vibration of the aircraft, flight safety plays a vital role. This paper established a landing gear dynamics modeling, its mechanical analysis, and through trial and simulation of the dynamic characteristics of the landing gear were studied, with some practical significance.
Subsurface Safety Valve Automation Test Systems Design
Authors: Shang Chun Min , Zhang Dong Mei , Zhang Xin Ming
Published: March 2014

To the subsurface safety valve testing, an intelligent automatic test system is designed based on the control computer and programmable logic controller. Based on modular concept, the entire system is mainly composed of mechanical components and computer control system. The working principle is analyzed for the subsurface safety valve test. The control system based on the Labview and PLC can accomplish hydraulic and gas testing with functions of the testing process control, data collection and analysis, automatic generating test report, friendly interface and high degree automation. Experiments prove that the test system can achieve expected effect and satisfy the test requirement, and the procedure is simple and convenient. The system has great significance to improve the subsurface safety valve test accuracy, efficiency and automation level.
A Barn Temperature Prediction Method Based on MATLAB
Authors: Zhang De Hui , Wu Xiao Qiang , Zhang Chun You
Published: March 2014

In the Inner Mongolia beef cattle feeding, barn temperature is an important parameter. Barn temperature has an important impact on cattle breeding and beef production. In order to ensure that there is appropriate temperatures barn, data recorded in the barn a month temperature monitoring points, the acquisition time for each temperature monitoring point for the one-hour time interval. Using MATLAB software barn temperature data were analyzed, the data fit (least squares) and plotted, and finally get a barn temperature prediction formula. And use this formula to predict the temperature of the barn, forecasting results show that the design is reasonable, the error is small, can be applied in practice.
Design of DC Motor Speed Control System Based on FlexRay Network
Authors: Zhou Qi Shu , Luo Jie , Ji Yan Lin
Published: March 2014

Nowadays, communication protocols are used in safety-critical automotive applications. Among the communication protocols, FlexRay, with real-time and reliable characters, is expected to become the communication backbone for future automotive systems. Therefore, a DC motor speed control system based on FlexRay network is presented in this paper to verify these characters. The following works have been done in this paper: study the FlexRay protocol specification, design the structure, programming, analyze the test results to get transmission delay time. Using the test system, FlexRay network was verified that message can be transferred quickly and correctly.
The Application Status and Prospects of Vibration Control Technology for Large Packaged Power Equipment
Authors: Zhang Quan , Zhang Shi Liang , Yan Jin , Tang Jin Long
Published: March 2014

The vibration of large packaged power equipment can not only cause the structural fatigue damage and facilities damage, but also damage the physical and mental health of workers. It brings hidden danger to normal operation of the large equipment. This paper analyzed the reason and harms of vibration for large packaged power equipment, elaborated technical status of vibration field in large packaged power equipment, and presented future application prospect of intelligent vibration control technology based on information condition.
The Fitting Algorithms for GPS Height Conversion
Authors: Zhao Ling Li , Liu Shuai , Qun Cai
Published: March 2014

There are many mathematical models in GPS height conversion fitting algorithms, such as polynomial surface fitting, Multi-surface fitting function, BP neural network and so on. The paper is focused on the fitting algorithms and summary of these kinds of GPS height conversion approaches and something useful is concluded.
An Classifying Approach Based on Fuzzy Cognitive Maps
Authors: Ma Biao , Yuan Tian Tian
Published: March 2014

Consumer reviews have been considered as a golden mine which can be used to analysis consumers preferences, attitudes and opinions about products or services or online stores. How to exploit this mine effectively has attracted researchers attention. In this paper, a new classification method based on fuzzy cognitive maps is proposal. The experience results showed the approach is more effective way of classifying Chinese reviews based on calculating the precision rate and the recall rate.
Realization and Simulation of High Speed Flexible Transmission System between FPGA Chips Based on SRIO
Authors: Li Xiao Wen , Liu Xiao Zhong , Li Ming , Wu Wei Nan
Published: March 2014

This paper issued a new scheme that passing the configuration information of SRIO to FPGA through EMIF interface, so that two FPGAs can transfer data to each other dynamically for different ways of data interaction. In a word, this paper provides a flexible high-speed transmission scheme for the TD-LTE RF conformance test instrument development.
HF Dynamic Frequency Optimization Technology
Authors: Rui Luo , Tao Shen , Cao Yong Tao , Li Gao Feng , Lin Luo
Published: March 2014

For the problem of poor transmission stability in HF channel, we builted a frequency optimization model based on the HF dynamic frequency optimization technology with working frequency, communication distance and time as dynamic elements ,with the type of antenna, the sunspots as static elements, choose the best working frequency set for communication according to the geographical location information, avoid interference channel effectively by real-time monitoring, and make sure communication service has always been on the best working frequency. Further enhancing the the validity and reliability of HF channel transmission.
The Process of Connection Reestablishment RRC Sub-Layer Design and Implementation in LTE Terminal
Authors: Zhang De Min , Li Yang , Chen Fa Tang
Published: March 2014

This paper introduces an overview on services and functions and the process of connection reestablishment provided by the RRC sublayer in the E-UTRAN of the LTE system. Then describe the process of connection reestablishment in detail. It also provides the specific designed flow chat to explain more exactly.In the design process,it simplifies signaling interaction between layers and the corresponding process is optimized and improved combined with the specific characteristics of major projects and the failure of connection reestablishment is analyzed in brief. Finally, the GFT chart was generated to verify the correctness of TTCN co-simulation.
Experiment for a Parallel Hydraulic Hybrid Terminal Tractor
Authors: Zhu Li Jing
Published: March 2014

Hydraulic hybrid technology of vehicle has the potential to significantly improve fuel economy and reduce emission, and increasingly aroused the attention of the research institutions and automotive manufacturers all over the world. The main of this work is to design a parallel hydraulic hybrid system for a heavy terminal tractor. Firstly, overall scheme design, construction design, and hydraulic regenerative braking system (HRBS) for terminal tractor are designed. Furthermore, the hydraulic hybrid terminal tractor is refitted successfully. The test results show that the sample vehicle is credible and in good operation, a fuel economy improvement of the new scheme is 38.1%~61.6% more than conventional baseline. Experimental study has very important value in the hydraulic hybrid terminal tractor real application.
An Improved K-Means Algorithm and its Application in Customer Classification of Network Enterprises
Authors: Luo Feng Lan
Published: March 2014

K-means algorithm has powerful ability to cluster large data sets due to its high efficiency in data mining but its calculation instability limits the application of the algorithm, so the research of intelligent optimization of K-means algorithm has become a hot research field for the researchers related. First the calculation instability of the original K-means algorithm is analyzed with more details; Second, the improvement of cluster seed selection methods and the calculation flow of K-means algorithm are redesigned to speed up the calculation and enhance the stability of the improved model; Third, the paper realizes and conducts the analysis in customer classification practice of the improved algorithm which show that the improved K-means algorithm has better performance in classification accuracy and calculation stability and can be used in customer classification for network trade enterprises practically.
Simulation Implementation and Analysis of the OFDM Modulated by MPSK and M-QAM
Authors: Yang Li Ming , Guo Jia , Ding Hong Wei , Wang Yong , Zhao Yi Fan
Published: March 2014

Simulated for OFDM system modulated by 16PSK, 16QAM and 64QAM, and then we compared and analyzed their performance in the Rayleigh channel and 2 paths Rayleigh channel. Simulation results show that under the same conditions, Bit Error Rate (BER) of MQAM modulation system is lower than the same order MPSKs
Imaging Processor for Multi-Receiver SAS in the Presence of Partially Failed Receivers
Authors: Zhang Xue Bo , Tang Jin Song , Ouyang Jun
Published: March 2014

For multi-receiver synthetic aperture image formation, if one or more receivers are failed because of unexpectable reasons, the synthetic virtual array may have to be pulled out from operation due to unacceptable pattern distortion. Here, a technique is presented for reconstructing the signals of failed receivers before synthetic aperture image formation. Its performance is validated by using simulated data, as well as real data collected by ChinSAS-150.
Method for Character Segmentation of Shopping Receipts of POS Machine
Authors: Zheng Wu , Huang Xiang Nian , Ma Yan Ying
Published: March 2014

This paper is focused on multiclass character segmentation for image of shopping receipt from POS machine, especially the Chinese characters. A secondary analysis method based on projection histogram is proposed, where the histogram is regarded as waveform signal, through filtering processing, it is to find trough point for the line segmentation. As for the word segmentation, this paper proposes rules for mergence of Chinese character components to solve issue about segmentation of Chinese characters with left and right components. The experimental results demonstrated that the segmentation accuracy is above 96%.
Research on AOD of Shandong Province Based on MODIS Data
Authors: Lei Ming , Gao Li Juan , Liu Qian , Yin Jing Yuan
Published: March 2014

Based on transmission model 6S, this paper uses the moderate resolution imaging spectroradiometer (MODIS) data combined with a new aerosol business inversion algorithm, V5.2 of NASA ,to retrieve the atmospheric aerosols optical depth. We take MODIS data in Shandong province as the research data, select 8 groups of MODIS LIB data set combined with Sunny weather (Sunny and cloudless or thin cloud) and AERONET release detection date (NASA release the date of detection value), and validate the retrieved results with the aerosol optical depth (AOD) of the solar luminosity observations erected by AERONET. The results show that the V5.2 inversion algorithm results and observations presented the same change trend. The retrieved results are nearly close to observed value, and the V5.2 inversion algorithm has better application in aerosol optical thickness retrieval.
An Improved Method for Virtual 3D Image Synthesis
Authors: Qiao Sai
Published: March 2014

In traditional algorithms for virtual 3D image synthesis, the high complexity of virtual objects will cause serious image drift and reduce the fidelity of virtual 3D image synthesis. To solve the problem, this paper proposes a virtual 3D image synthesis method based on characteristics' dynamic optimization algorithm. According to edge data of virtual objects, the method calculates the dynamic change center to provide accurate data basis for virtual 3D image synthesis; extracts image characters of virtual images, establishes mesh model for image features, obtains the spatial location of the characteristic points to complete 3D image synthesis and improve the fidelity. Experimental results show that the algorithm is simple simulation method with strong practicality.
Analysis on Anti-Noise Performance of Frequency Modulation System Based on MATLAB Simulation
Authors: Yang Zhang Cheng , Wang Xiang Lin
Published: March 2014

The popularity of internet technology has brought the change very big to the life and production of modern humans, the current Internet technology application has penetrated into people in every aspect of modern life, has become an indispensable part of people's life. Firstly, system model of the current network communication to dissect, analyzes the architecture of network communication system, modulation and demodulation principle is applied to design the FM communication signal modulation system network communication in the Internet technology, the non coherent demodulation method to build FM demodulation system, realize the demodulation process through differential device, the anti noise performance of the method of frequency modulation system of MATLAB simulation experiments, the experimental results show that the method of anti noise performance significantly, to a certain extent, provide theoretical basis and technical support for the research in this field.
Control System of Image Synthesis Based on Cluster Mathematical Model of K-Means Intelligent Computer
Authors: Liu Hai Ying
Published: March 2014

On the basis of computer automatic control theory of artificial intelligence, we use Kmeans clustering algorithm to establish mathematical model of automatic art synthesis for computer painting, and realize the computer artificial intelligence painting synthesis by using MATLAB software. In the first part we introduce the intelligent control system of computer drawing in detail, and do decomposition and combination on the frame number by using the computer intelligent drawing cell. In the second part we establish the intelligent clustering model of Kmeans algorithm, and introduce the model painting synthesis. In order to verify the availability and reliability of the model designed in this paper, we design simulation experiment of MATLAB drawing synthesis, and obtain the art synthesis of clothing abstract drawing by calculation. It provides the theory reference for the research on computer artificial intelligence control technology
Structural Optimization of Multi-Shaft Transmission Box
Authors: Tong Chun , Li Hua , Yao Jin , Zhao Yi
Published: March 2014

Considering the weight and loading conditions of the multi-shaft transmission box, build the finite element model and mathematical model for the box using the finite element method. According to ANSYS WORKBENCH, calculate the boxs load capacity and stress and deformation distribution under 9 working conditions then evaluate its strength and rigidity. Optimize the structure of the box to reduce its weight. The results show that the optimized box meets the strength requirements. After optimization, the multi-shaft transmission box weights 176.578 kilograms, reduced by 30.26 percentages. It improves the stress and deformation distribution and makes the structure more reasonable. It also provides important theoretical significance and engineering practical value.
A Method of Image Automatic Clipping Based on Face Recognition
Authors: Di Hong Wei , Wang Cai Yun
Published: March 2014

To solve the problem that traditional automatic image clipping method is on the basic of simple principles, such as fixed size and fixed location, an improved arithmetic based on face recognition is proposed. Firstly, the face region is located by face detecting.Then according to the proportion of face area in the selected region on the template image,the clipping region size of the image to cut is matched.At last,through the relative position of the face center in the template image,the cutting position can be got. The experimental results show that this algorithm can achieve better clipping effect.
A Fast Forward Vehicle Detection Method by Multiple Vision Clues Fusion
Authors: Wu Tai Qi , Zhang Ye , Wang Bin Bin , Yu Jia Heng , Zhu De Wei
Published: March 2014

With the development of intelligent vehicle technology, vehicle detection based on vision analysis has become an research hotspot in forward collision warning system development. Aiming to solve the existing problems in the current vehicle detection methods, for example, the detection accuracy is sensitive to the variation of illumination and object angle, we propose a forward moving vehicle detection method according to multiple vision clues fusion. Firstly, we locate the rough position using vehicle bottom shadow detection. The shadow is detected using an adaptive threshold image segmentation approach twice. Secondly, the symmetry of vehicle body and the perspective of camera field of view are both referenced to remove the inaccurate location in the first stage. The proposed method has been tested on several videos recorded in real urban conditions. Experimental results show that our method achieves 93.67% average detection accuracy in daytime, and its processing speed is more than 25fps. The proposed method has certain application prospects for improving the vision based forward collision warning system performance.
Research on the Parameter Conversion of Mannequin Curve
Authors: Ren Bo , Yang Ji Xin , Wan Peng , Tao Xue Heng , Wang Xue Jun , Wang Hui Hui
Published: March 2014

In order to realize the reverse design of human bodys curve, the curves parameter conversion and reconstruction based on non-contact measuring system are studied in the paper. Firstly, obtain the model of point cloud data by the non-contact measurement system, and then import the data into reverse the engineering software Geomagic. Second, process the point cloud data with the method of human characteristic curves and surfaces division, structure fitting surface, and get the three-dimensional reconstruction model of human bodys point cloud data. Lastly, import the model into the forward design software Solidworks with different methods and edit it. Then finish the parameter conversion from Geomagic to the forward design software. The reconstruction method has a good value in reverse design of the mold.
A Preamble Detecting Algorithm of MOD-5 Interrogating Signal
Authors: Li Huan , Chen Fei , Wang Jian
Published: March 2014

Propose a preamble detecting Algorithm in the processing of MOD-5 signal, after researching in the feature of MOD-5 interrogating preamble pulse. This paper resume the MOD-5 working principle, demonstrate the algorithm flow and simulation parameters. An analysis of the simulation result had been done at last. This algorithm can provide the ability of noise suppression and precise timing. On that basis, it can be the foundation in IFF (Identification Friend of Foe) signal processing with the purpose of increasing successful identification probability.
Research and Improvement on the Algorithm of Face Gray Image Normalization
Authors: Hou Xiang Hua , Liu Hong Hai
Published: March 2014

In face recognition system, the purpose of gray pretreatment is to denoise and enhance the image. The traditional linear or nonlinear denoising algorithm can bring edge loss, which make it difficulty for the subsequent image segmentation or matching. Although Alpha filter can bring the minimum loss of image edge, the size of filtering window cannot be adaptively changed according to the noise. The Alpha filter is improved on the basis that the information entropy can reflect the noise strength to some degrees. The single pixel entropy in neighborhood is compared with the information entropy average and then the noise infection of neighborhood pixel is determined. Moreover, according to the noise infection, the window size is adaptively adjusted to filter. The results show that the loss of image edge obviously reduces. Because the image size is fixed, we can calculate the integration of normalized image according to cumulative distribution function of the image. Therefore, the image histogram equalization is derived and the image gray is transformed to get the enhanced image. Finally, the results show that the face image after improved gray pretreatment can well ensure the image edge integrity and the face recognition effect is improved by edge feature.
Research and Improvement on Fast Location Algorithm in License Plate
Authors: Liu Hong Hai , Hou Xiang Hua
Published: March 2014

In the recognition system of license plate, the detection effect is often influenced by the speed of vehicle, the weather and illumination condition. However, the image edge is less influenced by the above conditions, so it gets more and more attention by using edge detection method to detect license plate. In this paper, three kinds of edge detection method based on partial derivative are compared. Firstly, using the first derivative to get the point set of gray step is discussed and thus the edge is obtained. However, this methods' result is largely influenced by noise. Secondly, adopting denosing theory and second partial derivative to acquire the image edge is represented, but the result shows that this method would filter out some high frequency edges and lead to the edge loss. Finally, the improved algorithm that is the fusion of three aspects: denosing theory, the second partial derivative and linking isolated edge points, is put forward. The result shows that the third algorithm has strong ability to restrain noise. However, at the same time it would smooth some high frequency edges out and lead to the edge loss. However, the third method finally makes isolated points link together, which ensure the integrity of the edge. Therefore, the result obtained by the second partial algorithm is better than the results by the two previous algorithms.
The Research and Improvement on Correction Algorithm of Inclination License Plate
Authors: Hou Xiang Hua , Liu Hong Hai
Published: March 2014

More and more intelligent transportation technologies are applied to license plate detection and recognition that can greatly reduce the burden of traffic management. However, character segmentation of license plate is an indispensable step of license plate recognition. Traditional character segmentation algorithms of license plate mainly use the space between characters of license plate to segment characters, but the license plate cannot be recognized if there are degraded characters or license plate inclination. In this paper, an improved character segmentation algorithm of license plate is proposed. In the improved algorithm, firstly, the noise of precise located license plate is eliminated and then the license plate inclination is tested. When there is license plate inclination, we calculate the inclination angle and use rotation to correct the inclination. So, the problem of license plate inclination is solved in character segmentation. Lastly, the results show that the improved algorithm has better effect than the traditional algorithms and it lays a good foundation for the next research of license plate recognition.
Multi-Frame Super-Resolution Reconstruction Algorithm Based on Diffusion Tensor Regularization Term
Authors: Zhao Xiao Dong , Zhou Zuo Feng , Cao Jian Zhong , Ren Long , Liu Guang Sen , Wang Hua , Wu Deng Shan , Tan Jia Hai
Published: March 2014

This paper presents a multi-frame super-resolution (SR) reconstruction algorithm based on diffusion tensor regularization term. Firstly, L1-norm structure is used as data fidelity term, anisotropic diffusion equation with directional smooth characteristics is introduced as a prior knowledge to optimize reconstruction result. Secondly, combined with shock filter, SR reconstruction energy functional is established. Finally, Euler-Lagrange equation based on nonlinear diffusion model is exported. Simulation results validate that the proposed algorithm enhances image edges and suppresses noise effectively, which proves better robustness.
Studying Context-Free Grammar Using Collaborative Symmetries
Authors: Xu Cao Cao
Published: March 2014

The operating systems approach to the partition table is defined not only by the investigation of cache coherence, but also by the confirmed need for object-oriented languages. After years of confirmed research into the memory bus, we disprove the simulation of spreadsheets, which embodies the typical principles of cyber informatics. Such a hypothesis might seem perverse but fell in line with our expectations. Woodman, our new methodology for certifiable archetypes, is the solution to all of these challenges.
Automatic Classification Method of Web Services in Cloud Environment
Authors: Li Jun Rong , Zhou Wen Bo , Mu Li Wen , Yin Tong Yu , Feng Yuan Li
Published: March 2014

Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.
On the Graph Parameters of Special Networks
Authors: Cao Jian Xiang , Feng Xin , Jiang Zheng Tao
Published: March 2014

Domination in graphs has become one of the major areas of graph theory with extensive applications in design and analysis of communication networks, computational complexity, and algorithm design. This paper mainly research on domination number and bondage number of the graph, especially, these parameters measure to some extent the robustness of an interconnection network with respect to link failures. By constructing a family of minimum dominating sets we compute the domination number and bondage number of the sun graph.
Research on the Using Electronic Map Software Google Earth in the Geographical Class
Authors: Wang Shu Ting
Published: March 2014

Based on a brief introduction of electronic map software Google Earths functions related to teaching, teaching characteristics of Google Earth (GE), "GE is more interactive, dynamic than traditional map", were discussed. And then focusing on methods how to use GE in the geographical class, search maps, production and management landmarks, map overlay, image overlay, and making geography picture courseware are presented. Finally, Application Strategies about GE in geography teaching are mentioned.
Stretching and Chamfering Finite Element Analysis of Rotor Loose Compaction Based on DEFORM
Authors: Min Jie , Wang Hai Sheng , Guo De Wei , Zhang Wen Bin
Published: March 2014

DEFORM is a software used for FEA (Finite Element Analysis) simulation. By using this software, I take a research on the procedure when a steel billet with defect of artificial loosening is drawn out in a simulated environment. Then I build a FEA model about the loosening and compaction of a large-sized rotor and stimulate the procedure in accordance with current craft card involving rotor forging. Finally, I get a result: the relative density of the loose area reaches up to 85% after the first drawing-out process (note: forging ratio 1.47). After simulating the procedure of chamfering on a billet which has been already drawn out, I found that chamfering had little substantial impact on the its loosening and compaction.
Research and Practice of Website Group Construction in Universities
Authors: Liu Cong , Xiao Ping , Zhang Xin Yu
Published: March 2014

The core problem of university informatization construction lies in the highly sharing of information resources. Thus it is very important to construct a unified user platform realizing this sharing. Through analyzing the current situation of campus website construction in universities, we propose a university website construction mode based on website group ideas from website construction, business management, content management and release to elaborate the mode in detail. Then, as Tsinghua University an example, we give system design of university website group including system architecture, system structure and functions. Finally, we introduce the application effect and prospects of the system. The analysis shows that the website group mode will gradually become the preferred choice on application mode of university website construction. This mode is facilitated to construct an integrated and coordinated, safe, reliable, stable, novel forms of network propaganda platform, enhance information sharing and enrich the propaganda content. And it will play a crucial role in establishing a good image of Tsinghua University.
A Database Grid Service Based on CSGPA
Authors: Cao Jian , Yan Cong
Published: March 2014

Database grid service provides users with a unified interface to access to distributed heterogeneous databases resources. To overcome the weakness of collaborative services ability in different grid portal, a new grid portal architecture based on CSGPA (Collaborative Services Grid Portal Architecture), is proposed. It devotes integrating database into Grid environment with grid service. In comparison with the current mainstream grid portal architecture, the results show that CSGPA has great advantage in efficiency, deployment costs, scalability and reusability etc.
Research on Visualization Simulation Technology of Frequency Response Based on Artificial Intelligence
Authors: Liu Cheng
Published: March 2014

Based on the discrete mathematics model, this paper analyzes and studies the artificial intelligence virtual technology of computer and verifies the feasibility and reliability of the model through the virtual numerical experiment of computers simulation. The first part of the article describes the key of computers artificial intelligence virtual process and virtual technology and discusses the analog signal and conversion process of digital signal and the visualization process. Base on this, this paper establishes the discrete mathematical model of computers logic. This model can determine the signal and issue digital signal and control instruction. At last, this paper designs a virtual computers simulation and verifies the reliability of the model through the successful control of multi-freedom of virtual human. It also has been extended to piano playing process and concluded the time visualization chart of the pianos frequency response event which provides a technical reference for the study of vocal performance process simulation.
The Analysis of Probability Detection CSMA Protocol for Wireless Sensor Network Based on the Request-Response Mechanism
Authors: Ding Hong Wei , Guo Ying Ying , Guo Jia , Chen Yuan Long , Zhao Yi Fan
Published: March 2014

This paper presents a new MAC protocol the probability detection CSMA protocol for wireless sensor network based on the request-response mechanism. Builds the corresponding mathematical model using the average cycle method, and get the mathematical expression of systemic throughput through a rigorous mathematical derivation and makes the computer simulations. Simulation results show the correctness of the theoretical analysis and the effectiveness of the protocol; meanwhile, the protocol this paper presents increases the reliability and stability of the system through increasing RTS-CTS request-response mechanism and ACK handshake signal, thereby improving the systems transmission quality.
Algorithms Randomly Extracting Questions Based on Paperless Network Test
Authors: Jia Song Mao , Ji Jian Ping , Yi Yang
Published: March 2014

To meet the needs of Network Test System on generating test paper rapidly and stably, this essay analyzes the characteristics of common algorithm on generating test paper and proposes an improved algorithm randomly selected, which can ensure the efficiency and quality of the system in the two aspects as the spatial distribution and the generation rate of extracting topics.
A Multiple Ring Fast Computing Method Based on MapReduce in Digraph
Authors: Yang Jian Jun , Shan Dan Jun
Published: March 2014

Graph algorithm has been widely used in modern computer network technology, and with the increase of data, graph algorithm is faced with the challenge of big data. Using MapReduce programming framework, this paper puts forward a multiple ring fast computing method in diagraph. Compared with the previous methods, this method is more efficient. And through the experiment the method are compared with the previous method.
Simulation and Analysis on the Pendulum Rod Bearing Linear Mechanism
Authors: Xu Zhe , He Qing Yi , Wei Peng
Published: March 2014

The paper introduces the working principle of the pendulum rod bearing linear actuator and its kinetic characteristics. First, the model was built in SOLIDWORKS, then to do the simulation of ideal state and collision situations on this structure in ADAMS. At the same time, using MATLAB to get the ideal dynamic analysis results, including displacement, velocity and acceleration. The curves of input power and output power ware drawn out using ADAMS, then calculate the transmission efficiency of the mechanical mechanism. This research provides a theory and technical support for the application in all aspects of this mechanism.
Analysis of Longitudinal Seismic Isolation of Self-Anchored Cable-Stayed Suspension Bridge Based on Lead Rubber Bearing
Authors: Miao Feng
Published: March 2014

Based on the background of Dalian Bay Cross-Sea Bridge project, some plans with settings of lead-rubber bearing among side pier, tower and stiffening girder have been analyzed under longitudinal seismic input using the favorable shearing property of laminated rubber, damping characteristics of lead. Analysis results show that the displacement and force of controlling node and section have been reduced. The effective isolated device is obvious.
Research on the Informatization of Gas Source Management for Urban Gas Industry
Authors: Zhao Wei Qing
Published: March 2014

With the rapid development of gas enterprises in this natural gas era, lean management of production and operation (especially, upstream-downstream gas source allocation) became an important premise of their long-term stable growth. Purchase and sale of gas source are the core business of gas enterprises. To maintain a stable growth, gas enterprises have to enhance the informatization of gas source management by constructing an advanced and high-efficient gas management system. To provide useful suggestions to the construction of gas management system, this paper analyzed the characteristics of gas source management and associated businesses of gas enterprises and studied the system platform technology.
Realization of an Intelligent E-Commerce Model Based on Mobile Agent
Authors: Li Xiao Guang , Gao Zhan Jun
Published: March 2014

Mobile agent is one of the most prominent technologies believed to be playing an important role in future e-commerce. After presented an intelligent e-commerce model based on OBI ( open buying on the internet) , we developed a modified approach for the security of mobile agents and e-commerce, and designed an intelligent shopping algorithm based on variable time negotiation function. The presented model has been evaluated by simulation experiment. It has been found that the presented model is efficient.
A GIS Based Crash Assignment Model for Signalized T Intersections
Authors: Karki Bipin , Qu Xiao Bo , Panuwatwanich Kriengsak , Mohamed Sherif , Parajuli Partha
Published: March 2014

The crash assignment problem has long been considered as one of the most important components in an approach-level crash prediction model for intersections. A few pioneering studies have been carried out to properly assign the crashes in or nearby intersections to various approaches. However, the implementation of these models is very time consuming as it can only be done one by one manually. In this paper, a geographical information system (GIS) database is developed to complete the crash assignment. This tool has been applied in Queensland, Australia in the development of crash prediction model for signalized T-intersections.
Design for the Large Sport Stadium Information Management System
Authors: Bai Jing , Guo Gang , Chen Li
Published: March 2014

In this paper, the framework and subsystem detailed design of LSSIMS (Large Sport Stadium Information Management System) is proposed on the basis of main function-demand analysis. After the main function demand is analyzed under 6 iterative stages, the overall framework design of the system is proposed on the basis of the principles of frame design. Then the LSSIMS is divided into the subsystems including the gateway websites, ticketing business subsystem, fitness management subsystem, online interactive subsystems, commercial operation subsystem and advertisement management subsystem. Finally the subsystems are designed individually by adopting the middleware technology and the thought of multi-level, loosely coupled and open design. Through the later stages of detailed design and full system development, it is showed that based on the framework design the LSSIMS provides managers with detailed statistical analysis, decision support and standardization interfaces, which can make good social benefits.