bluuebunny/crossref_metadata_2025 huggingface dataset:
The Design and Implementation of Collaborative Editing System Based on SaaS
Authors: Zhang Dong Sheng , You Fu Cheng
Published: September 2012

In recent years, collaborative editing system that is an important application of Computer Supported Cooperative Work field has made a lot of progress. But most of the collaborative editing systems have the disadvantages about maintenance and huge investment etc. In order to solve these problems, this paper proposes a collaborative editing system based on SaaS(Software as a Service). The realization of the system includes the following aspects: (1) Introducing and analyzing SaaS cloud computing model; (2) Designing the message model and communication model of collaborative editing system; (3) Setting up the SaaS development environment; (4) Designing and realizing a collaborative editing system based on the SaaS model. The collaborative editing system based on SaaS can not only support the cross-platform operation, but also reduce development cost and it's convenient for the system maintenance and upgrade.
Secure Authentication Protocol of RFID System Based on Access Control
Authors: Wang Gui Chao , Zhang Ai Li , Li Yong Zhen
Published: September 2012

The security and privacy problem of low-cost RFID system is one of the most difficult conundrums in the RFID research field. A protocol based on access control was proposed in this paper, which used the reader access, partial ID, XOR operation, etc. By using of the reader authority distribution method, the unauthorized tag`s information was prevented give-away and it can avoid the lawful reader attack, location privacy attack, etc. Function of the reader was fully used. At the same time, the back-end database`s load and the time of the tag`s answer were reduced. Compared with several traditional security authentication protocols, this protocol is more security, lower energy consumption and more suitable for low-cost RFID system.
The Application of BP Neural Network in Internet of Things
Authors: Cui Dan Dan , Liu Fei
Published: September 2012

BP algorithm is a typical artificial neural network learning algorithm, the main structure consists of an input layer, one or more hidden layer, an output layer, the layers of the number of neurons, the output of each node the value is decided by the input values, the role, function and threshold. The Internet of Things is based on the information carrier of the traditional telecommunications network, so that all can be individually addressable ordinary physical objects to achieve the interoperability network. The paper puts forward the application of BP neural network in internet of things. The experiment shows BP is superior to RFID in internet of things.
Generation Method of Digital Disruptive Pattern
Authors: Yu Jun , Hu Zhi Yi
Published: September 2012

This paper presents a new method which can generate a digital camouflage pattern based on the background image of a target. It quantizes the background color, and extracts the main color, followed that determines the size of a mosaic block. By filling the blocks with the main color, the digital disruptive pattern is generated. In order to test the camouflage effect, the designed pattern is printed on the tent cloth, and the tent is placed in the actual background. The experimental result shows that, the digital camouflage is easier to blend with the natural background than the traditional camouflage, and achieves a good effect of the optical camouflage.
Strategies on Promoting the Mixed Teaching Model of Higher Vocational Education
Authors: Cheng Cong
Published: September 2012

More and more vocational colleges are exploring to promote the reform of teaching model through a mixed way of teaching. Accordingly, this essay provides the key strategies: promoting the resources construction through setting up projects, constantly improving the mechanism and system of mixed teaching model, perfecting the publicizing and training system, building good platforms of software and hardware and so on.
Classification of Court Frame and Non-Court Frame for Tennis Video Based on Ontology
Authors: Hai Ri Han , Zhi Min , He Ri Sheng , Duan Xiao Xia , Zhang Xiao Li , Wang Fei
Published: September 2012

The paper proposes a method which can efficiently classify the court frame and non-court frame for tennis video. First, this paper extracts dominant color for each frame by calculating the histogram. And Then, constructs ontology by using protégé . In the end, uses swrl to construct inference rules which can classify the court frame and non-court frame. The experiment result proves that the method is executable.
Prediction on New Ship Orders on the Basis of Combination Model
Authors: Yu Si Qin , Xiang Yi Ye , Jiang Yuan Tao
Published: September 2012

When the new ship orders decline deeply and the shipbuilding capability is releasing quickly, how to guarantee the accuracy of prediction of new ship orders becomes the main target for shipbuilding corporate. This paper aims to predict the future demand of new ship with the help of combination forecast model that consist of grey system, support vector machine and artificial neural network. The result showed that combination forecast method is better than single usage of other three methods. The prediction result of new ship orders could provide some useful reference for the development of the shipbuilding industry.
Auction Mechanism and Methods for Heterogeneous Goods Such as Multiple Polymer Materials
Authors: Rao Cong Jun
Published: September 2012

Multi-object auctions can be divided into homogeneous goods auction and heterogeneous goods auction. In this paper, the auction mechanism and methods for heterogeneous goods such as multiple polymer materials (rubber, plastic, polymer fibre, adhesive, polymer coating) is investigated. Concretely, the research history and the newest research trends are introduced, and many widespread theoretical and applied problems are presented. In addition, assumptions, main ideas, and conclusions of literature related to heterogeneous goods auction are commented and reviewed.
Insert Random Time-Delay Defense High Order Side-Channel Attack
Authors: Yao Jian Bo , Zhang Tao
Published: September 2012

Side-channel attack is a non destructive physical attacks method. The current cryptographic algorithms are vulnerable to higher-order side-channel attack. To defense high order Side-channel attack, in this paper, a new countermeasure based on inserting random delay is proposed to secure AES against higher-order side-channel attack. By inserting a redundant instruction, it is expected to reduce the correlation between the leakage and the inside operations, and thus make the statistic analysis infeasible. The simulation shows the method is efficiency.
The Design and Actualization of the Vehicle Management in Shandong Juneng Heating Company
Authors: Guo Fei , Sun Cheng Ai , Wang Rui , Wang Xiao Wen
Published: September 2012

The paper, in answering for the actual needs of Shandong Juneng Heating Company, analyses the vehicle management system, constructs the model utilizing UML; designs the database based on the Erwin mechanism and constructs the vehicle management system based on B/S model, in which such data as applications, approvals can be edited, statistically analyzed and printed.
Modeling and Simulation for Dynamic Effect in 3D Virtual Scene System
Authors: Zhang Yue , Lv Hui Fang
Published: September 2012

Aiming at difficulty of modeling and simulation for dynamic effect in 3D virtual scene system, some methods combined with Multigen creator and Vega Prime are put forward. Firstly, rise-descend and rotation effect are simulated by adopting DOF node. Secondly, screen-show effect is realized with using switch node. Thirdly, some dynamic effects such as rolling wheel are simulated based on multiple textures mapping technology. Finally, object positioning dynamically based on coordinate transforming is proposed.
Thermo-Optic Tunable Optical Filter Based on Fabry-Perot Microcavities in SOI
Authors: Li Zhe , Qi Hua Juan , Xiao Yong Chuan , Gao Feng Li
Published: September 2012

An integrated TOF (Tunable Optical Filter) based on thermo-optic effect in Silicon on insulator (SOI) rib waveguide is designed and simulated. The device is comprised of two high refractivity contrast Si/Air stacks, functioning as high reflectivity of DBRs and separated by a variable refractive index Si F-P cavity. The output characteristics are calculated and simulated based on Transfer Matrix Method (TMM). Wavelength tuning is achieved through thermal modulation of refractive variation of the cavity.As the cavity Si is heated,the refractive index of the cavity increases.When the temperature of cavity Si changes within100°C，the central wavelength gets a continuous 8nm shift from 1550nm to 1558nm, which is right located in the WDM (Wavelength division multiplexing) networks operating at C-band. Moreover, by calculating, the tuning sensitivity is about 0.08nm/°C. Owing to the compact size and excellent characteristics of integration, the proposed component has a promising utilization in spectroscopy and optical communication.
A Study and Improvements on Canny Algorithm
Authors: Chen Xue Fang , Guan Hao Bing , Gu Ji Nan , Wu Qian
Published: September 2012

This paper studies principle of the traditional Canny edge detection algorithm and the existing problems. Some solutions toward the problems are also proposed. The improvement methods consisted of two parts. On the one hand, as Canny edge algorithm itself does not have strong noise immunity while ensuring edge positioning accuracy, an adaptive median filter denoising program based on the Canny Gaussian filter is proposed to enhance the Canny algorithm filter performance. On the other hand, given the Canny algorithm high and low threshold parameter is not determined by the feature information of the image edge, but rather set manually which does not have the adaptive ability, this paper proposes an adaptive threshold setting scheme for high and low thresholds to improve the adaptive ability of Canny algorithm to different images.
Mathematical Modeling of Grape Organs and its’ Visual
Authors: Tang Yuan Qiang , Feng Xiang Zhong
Published: September 2012

Virtual plant growth is widely applied in many fields such as agriculture, forestry research, green landscape design, education, entertainment and business etc. Plant morphological structure model can simulate the real plant dynamic development, so people may be inclined to use some methods instead of the process; therefore ,multiple produce type or equation are used for modeling of natural phenomena. This paper aims to take grape organs as an example to study 3d plant organ geometric model based on OpenGL software. In this paper, grape’s organs (fruit, flower, leaf) geometric structure model and algorithm are presented.
Research on Key Technologies of Windows CE API Interception
Authors: Chen Xu Hui , Chen Jia , Zhu Ping
Published: September 2012

Windows CE API interception technology can be used for monitoring various system services calls such as file systems, registry. API interception has a very important role on the Windows CE system software debugging and performance analysis. This paper introduces the main methods of the Windows CE API interception, discusses a number of key technologies involved, how to use these methods flexible, and gives a practical example.
A Kind of Risk-Sensitive Group Decision-Making Based on MDP
Authors: You Ming Shan , Zeng Wei , Zhou Hong Tao
Published: September 2012

One-switch utility function is used to describe how the risk attitude of a decision maker changes with his wealth level. In this paper additive decision rule is used for the aggregation of decision member’s utility which is represented by one-switch utility function. Based on Markov decision processes (MDP) and group utility, a dynamic, multi-stages and risk sensitive group decision model is proposed. The proposed model augments the state of MDP with wealth level, so the policy of the model is defined as an action executed in a state and a wealth level interval. A backward-induction algorithm is given to solve the optimal policy for the model. Numerical examples show that personal risk attitude has a great influence on group decision-making when personal risk attitudes of members are different, while the weights of members play a critical role when personal risk attitudes of members are similar.
Sorted Chase Detection Algorithm for MIMO System
Authors: Liu Li , Wang Jin Kuan , Liu Fu Lai , Song Xin , Han Ying Hua , Wang Yu Huan
Published: September 2012

In multiple-input multiple-output wireless communication system, the order of symbol detection in Chase framework is critical because of error propagation. In order to improve chase detector’s performance, sorted chase detection algortihm to reduce error propagation is proposed here. By setting parameters at different values, trade-off between performance and complexity can be obtained properly. Simulation experiment results show the validity of proposed algorithm.
Orthogonal Genetic Algorithm and its Application in Traveling Salesman Problem
Authors: Liu Han Min , Wu Qing Hua , Yan Xue Song
Published: September 2012

The traveling salesman problem (TSP) is one of the most widely studied NP-hard combinatorial optimization problems. Its statement is deceptively simple, and yet it remains one of the most challenging problems and traditional genetic algorithm trapped into the local minimum easily for solving this problem. Therefore, based on a simple genetic algorithm and combine the base ideology of orthogonal test then applied it to the population initialization, crossover operator, as well as the introduction of adaptive orthogonal local search to prevent local convergence to form a new orthogonal genetic algorithm. The new algorithm shows great efficiency in solving TSP with the problem scale under 300 under the experiment results analyze.
The Halftone Image Watermarking Algorithm Based on Error Diffusion
Authors: Xie Qing , Xie Jian Quan , Xiao Yun Hua
Published: September 2012

Halftone image watermarking is an important direction of research and application in the field of information hiding now. This paper proposed a halftone image watermarking algorithm based on error diffusion. It is an effective measure to copyright protection of printed matter, source authentication and prevented forgery etc. This algorithm embedded watermarking image information as an error signal into the pixels adjacent to this location by error diffusion algorithm. Information embedding was completed synchronously with halftone. So watermarking extraction is simple and fast. Experiments show that this algorithm can embed a binary watermarking image into the halftone image with the same size. This algorithm has a good performance in resistance to a variety of attacks (such as noise jamming, fouling, and rotation etc.).So it has certain practical value.
A New Error Concealment Algorithm Based on Directional Texture Synthesis
Authors: Zhang Jiang Xin , Xie Jin
Published: September 2012

In this paper, we propose a novel directional texture synthesis based error concealment algorithm to recover damaged video images. It uses the confidence level and structure information to calculate the priority of patch, which contributes to improve the ability to select the best matching block when the damaged area is very large. The JM86 model of H.264 standard is used to evaluate the algorithm. And experimental results show that our algorithm achieved a better image reconstruction results than the improved Multi-directional texture interpolation algorithm, with 1.2 to 1.4dB gain in PSNR and 0.5 percent to 1 percent gain in SSIM.
An Improved Space Debris ISAR Imaging Algorithm
Authors: Wang Bao Ping , Guo Jun Jie , Sun Chao
Published: September 2012

According to the Characteristics of space debris, single-range matching filtering (SRMF) can be used for space debris inverse synthetic aperture radar (ISAR) imaging. Combined SRMF and Coherent CLEAN algorithm can effectively solve high sidelobes problem brought by Fourier transform. However, when the SNR is low, the position error of scattering centers extracted by SRMF-CLEAN is big, and even some weak scatterings can’t be extracted. This paper uses Sequence CLEAN instead of Coherent CLEAN to availably solve the above problems. The experiment results confirm the validness of the proposed algorithm.
A Robust Webpage Information Hiding Method Based on the Slash of Tag
Authors: Yang Yu Jun , Yang Yi Mei
Published: September 2012

Nowadays,the information hiding technology is a hot spot in the field of information security, and is applied in many fields,such as digital multimedia copyright protection and secret communication. According to the analysis of the characteristics of browser in parsing HTML of the webpage and the little capacity available for information hided in webpage, a new robust webpage information hiding method with the slash of tag attributes has been proposed in this paper, which overcomes the shortcoming of the ability of imperceptibility and the ability of contradict with the machine filtration of traditional webpage information hiding algorithms and has greater embedded capacity than some other algorithm based on tag attributes. This method has good performances in invisibility and higher applied value as proved by the experiments.
Design and Implementation of the Logistics Management System Based on J2EE Technology
Authors: Li Yi Ming , Bai Lan , Wang Liang , Zhang Huan
Published: September 2012

The J2EE model is the use of advanced software layered design ideas to support framework-based development, and it can reduce development effort and cost, while reducing the degree of coupling of components, and greatly enhance software maintainability, scalability to meet the large-scale management information system requirements. The paper proposes the design and implementation of the logistics management system based on J2EE technology. This article describes the basic functions of logistics management system based on J2EE technology design, the overall structure and implementation of key technologies involved in the system.
FTU Wireless Intelligent Information Acquisition System Based on ARM11
Authors: Xie Zhi Yuan , Liu Jian Ning , Xue Yu Juan
Published: September 2012

With the development of smart grid construction, a large number of intelligent electrical equipment has been applied. In order to facilitate the onsite FTU data acquisition, use S3C6410 with ARM11 kernel and Windows CE embedded system as platform to develop and design wireless intelligent information acquisition system. After the hardware platform and embedded system are completed, add wireless module driver, develop information frame format of communication protocol, and according to the application software requirements, design and develop FTU wireless communication applications. After experimental testing, FTU wireless communications is fulfilled between the portable equipment and 10KV power lines; then acquires and process the returning data. This article provides feasibility program for the FTU field local test.
Automated Haze Removal and Radiometric Normalization for Electro-Optical Imagery Preprocessing
Authors: Zhan Yun , Zheng Sheng Chun , Du Yong , Wei Lu Qing
Published: September 2012

Two precedures are presented for image preprocessing, automated haze removal and the relative radiometric normalization of multitemporal optical images, to act as the data support for land cover change detection and image analysis. The developed algorithm for haze removal involves processes of feature and texture analysis of the multiresolution spatial frequency distribution of pixel brightness information content of a scene. The image contaminated by haze is decomposed into layers of different resolutions of spatial distribution frequencies. The radiometric characteristics of the corresponding layers are estimated and analyzed with topology based multiresolution spatial analysis technology. Based on the analysis, the haze component is then separated from the remaining spatial frequency components representing spectral information of actual land cover types in the scene, and a spectrally corrected image with “haze-off” characteristics is obtained. Then a method is used for radiometric normalization between multitemporal images of the same area. Case study using several different type images of Qingdao City in China proves the effectiveness of this technique except for those regions too hazy.
High-Speed Video Encoding System Based on H.264 and DSP
Authors: Wang Chou Chen , Huang Zhi Hao , Chen Han Yen , Li Jyun Liang
Published: September 2012

In this paper, a high-speed H.264 encoder based on ADI BF548 Blackfin DSP is proposed. In order to speed up the process of motion estimation (ME) module in H.264, we propose a two-step bit-transform-based normalized partial distortion search (TSB-NPDS) algorithm for fast ME by using the characteristics of pattern similarity matching errors. An initial standard compliant raw-C encoder has been optimized in speed for target processor. In addition, the parallelism between algorithm execution and data movement has been fully exploited using DMA. Experimental results demonstrate that the encoding rate can reach above 30 fps as using QCIF video.
A Buyer-Seller Digital Watermarking Protocol without Third Party Authorization
Authors: Xie Jian Quan , Xie Qing , Tian Li Jun
Published: September 2012

For protecting copyright of digital work, a kind of digital work commerce protocol is proposed based on RSA public key system. Digital fingerprint information that embedded in digital work can only be generated by the cooperation of the publisher and the user. The publisher cannot obtain this digital work, but the publisher can judge whether the fingerprint information exists in illegal copied digital work. This protocol can be utilized to trace and accuse the illegal piracy. Meanwhile, it can also protect legal user from framed by publishers. The digital fingerprint identification procedure that dispenses with participation of the third party can effectively avoid forgery in the procedure, which makes the scheme more convenient and safer than the scheme that needs the third party.
On the Design of Freeway Traffic Safety Information Platform
Authors: Zhao Na Le , Zhou Tian Ran
Published: September 2012

With the rapid development of urbanization, freeway with the advantage of high throughput and speed becomes an important part of the urban construction. Complex fators such as normal traffic, special events and environment raise a problem for the freeway traffic safety. In this paper, an informational approach is used to solve this problem. We propose a novel freeway traffic safty information platform and explain the design of key modules. The system and method proposed in this paper will be a reference for the freeway informatization construction in the future.
Study on Asymptotic Property of Additive-Accelerated Mean Regression Model
Authors: Liu Huan Bin
Published: September 2012

Recurrent event data is a kind of important incomplete data existed in survival analysis, biological medicine research, reliability life test and other practical problems. This paper presents an additive-accelerated mean regression model for multiple type recurrent events data, and gives the estimation methods of unknown parameter and non-parameter function. Specially, the asymptotic properties of parameters estimation are proved.
Embedded Real-Time Image Processing System Based on DM6446+FPGA Architecture
Authors: Zhang Bao Feng , Yang Yi , Zhu Jun Chao , Li Cui
Published: September 2012

To solve the traditional image processing system problem such as large in size, high power consumption and poor real-time, an embedded real-time image processing system is designed based on TMS320DM6446+FPGA architecture. DM6446 as the core of the system is responsible for the scheduling, image processing algorithms, image output; field programmable gate array (FPGA) is responsible for capturing real-time image data, image preprocessing. The paper describes the principle of the real-time image processing system. The experiment proved that the system can achieve real-time acquisition, processing and output of image data in 20 frames per second.
Design and Implementation of the HD Video Signal Converter Based on FPGA
Authors: Wu Ling Fan , Yun Li Jun , Shi Jun Sheng , Wang Kun , Deng Zhi Hui
Published: September 2012

In this paper, based on the FPGA and with a video dedicated A / D converter chip, LVDS coding chip, the design and implementation of a SD(standard-definition) analog video signals to HD(high-definition) digital video signal converter. First, input SD analog video into digital video signals meet the ITU-BT656 standard. Then use the FPGA with the video processing chip and DDR do some corresponding processing to achieve high-definition digital video output. After the actual test, the converter output signal of the image quality is well, meets the design requirements, and to verify the effectiveness of the program.
Session Segmentation Method Based on Naïve Bayes Model
Authors: Li Ping , Cui Ming Liang , Hou Zhen Shan , Wei Liu Liu , Ying Wen Hao , Zuo Wan Li
Published: September 2012

Session segmentation can not only contribute a lot to the further and deeper analysis of user’s search behavior but also act as the foundation of other retrieval process researches based on users’ complicated search behaviors. This paper proposes a session boundary discrimination model utilizing time interval and query likelihood on the basis of Naive Bayes Model. Compared with previous study, the model proposed in this paper shows a prominent improvement through experiment in three aspects, which is: recall ratio, precision ratio and value F. Owing to its advantage in session boundary discrimination, the application of the model can serve as a tool in fields like personalized information retrieval, query suggestion, search activity analysis and other fields which is related to search results improvement.
Enterprise Information Management Performance Evaluation Based on Grey Fuzzy Theory
Authors: Gao Hui Ying , Liu Xin Bao
Published: September 2012

Performance evaluation of information management is a necessary part in information management. Regarding information as a kind of resource, this paper constitutes an indicator system framework for enterprise information management performance evaluation, based on effect evaluation principle in performance evaluation. It proposes enterprise information management performance evaluation model based on fuzzy-grey theory and performance level used in calculation of enterprise information management. At last, it makes a sensitivity analysis to evaluation results by -cut set. The effectiveness and rationality of this method can be indicated by example analysis. And sensitivity analysis increases the practical reference value of evaluation results to enterprises.
Outlier Detection Algorithm Basing on Similarity Measurement Relation
Authors: Fang Hong Bin
Published: September 2012

Outlier detection is an important field of data mining, which is widely used in credit card fraud detection, network intrusion detection ,etc. A kind of high dimensional data similarity metric function and the concept of class density are given in the paper, basing on the combination of hierarchical clustering and similarity, as well as outlier detection algorithm about similarity measurement is presented after the redefinition of high dimension density outliers is put. The algorithm has some value for outliers detection of high dimensional data set in view of experimental result.
The Application of Fuzzy Association Rule Mining in E-Commerce Information System Mining
Authors: Duan Qing , Li Jian , Wang Yu
Published: September 2012

Data mining in e-commerce application is information into business knowledge in the process. First of all, the object of clear data mining to determine the theme of business applications; around the commercial main data collection source, and clean up the data conversion, integration processing technology, and selects the appropriate data mining algorithms to build data mining models. This paper presents the application of fuzzy association rule mining in E-commerce information system mining. Experimental data sets prove that the proposed algorithm is effective and reasonable.
The Application of the Grey Correlation Method in the Principal Component Analysis
Authors: Chen Bao Ping
Published: September 2012

To solve the shortcoming of the traditional principal component analysis in term of the processing of nonlinear data, this paper puts forward one principal component analysis method based on the grey correlation method. In face of the multiple indexes comprehensive evaluation problems, this paper establishes the evaluation model by aid of the grey correlation method and by calculating the comprehensive correlation degree of each evaluation index to find out the major factors affecting the problems. This paper aims at apply this method to evaluate the development of the telecommunication industry in various regions all over the country and to explore the major reason for the differences. The results show that this method can comprehensively considerate the various factors of the evaluation problem, which not only avoids the subjectivity of the single factor but also makes the analysis process more reasonable and objective. Also the analysis results can accurately reflect the differences between various factors. Gray correlation analysis method has a low re-quirement on the linearity and regularity of the original data and there is no case where the quantitative result is inconsistent with the qualitative analysis result.
A New Rang-Instantaneous Doppler ISAR Imaging Algorithm
Authors: Wang Bao Ping , Sun Chao , Guo Jun Jie
Published: September 2012

ISAR imaging algorithm based on sparse representation has the advantages of high resolution, noise suppression and dealing with gapped data effectively. The method is based on the hypothesis that the imaging targets move smoothly. But the movement of ISAR imaging targets is usually of high maneuverability, which results in big phase error after motion compensation. Using the traditional RD imaging algorithm and the imaging algorithm based on sparse representation will make the resultant image fuzzy, and can't even be identified. This paper introduces a new range- instantaneous Doppler imaging algorithm based on sparse representation and time-frequency transform, which can effectively image the maneuvering target. The experimental results validate the feasibility of this approach.
SVM Parameter Optimization Based on Immune Memory Clone Strategy and Application in Bus Passenger Flow Counting
Authors: Zhu Fang , Wei Jun Fang
Published: September 2012

The performance of support vector machine (SVM) depends on the selection of model parameters, however, the selection of SVM model parameters more depends on the empirical value. According to the above deficiency, this paper proposed a parameters optimization method of support vector machine based on immune memory clone strategy (IMC). This method can solve the multi-peak model parameters selection problem better which is introduced by n-folded cross-verification. Tests on standard datasets show that this method has higher precision and faster optimization speed compared with other four methods. Then the proposed method was applied to bus passenger flow counting. The experimental results show that the method reposed in this paper obtains higher classification accuracy.
A Self-Supervised Road Detection Method Based on Gabor Filter
Authors: Chang Hua Yao , Wang Jun Zheng , Li Jing
Published: September 2012

Visual navigation is an important technology for Autonomous Guided Vehicles and road detection is the essential prerequisite. It is a challenging problem to distinguish the road or its boundaries in unstructured environments for the lack of discernible features. A self-supervised road detection method is proposed in this paper. Vanishing point is first detected using only four Gabor filters to precisely estimate the local dominant orientation at each pixel location, and an adaptive soft voting scheme is used to prevent tending to favor points that are high in the image. Training area is defined with vanishing point, which color feature is used for building self-supervised learning models to describe the road segment. Road patches are selected by measuring the roadness score. Experimental results have shown the efficiency of the method in terms of detection result and time saving.
Fishery Logistics Insurance Management Schemes
Authors: Wang Yan Ling
Published: September 2012

The intense competition of global markets and consumers' high expectations forced enterprises to invest and concentrate on the relationship with their customers and suppliers. The growing interest in supply chain management, both in developed and developing countries in the fisheries. With the catastrophic events in the fisheries supply chain, the diversity of the fisheries risk and insurance issues become increasingly important. However, participants in the supply chain is a separate and independent economic entities, and only consider their own interests. In this article, the fisheries supply chain insurance contract on the basis of the model and the diversity of the fisheries risk and insurance policy issues, the behavior of each participant. In this article, the diversity of the fisheries supply chain risk and insurance process, the lack of sufficient knowledge of the fisheries supply chain contract signing or the exact probability of the insured event, the fisheries supply chain risk insurance companies use the information provided by the fisheries supply chain contract signature the signing of the contract or the behavior of the fisheries supply chain insurers of people insured or fisheries supply chain and fisheries supply chain in order to establish the parameters of the insurance contract of the fisheries supply chain.
Design and Realization of a Certain Type of Radio Power Amplify Circuit Board Detecting and Teaching Platform
Authors: Zhang Wei , Shao Zhi Chao , Cheng Hui Hua , Zhou Quan Zhi , Lou Xiao Fang , Xiao Hang
Published: September 2012

A certain type of command and control system detecting and teaching platform is designed in order to realize clear display of the operation, implement of the capability teaching, detecting and fault diagnoses conveniently. This thesis which is a part of the program introduces the design and realization of a certain type of radio power amplify circuit board detecting and teaching platform. The platform consists of adapter and Teaching Software Experiments indicate that the platform is reliable in the operation, can improve the efficiency of circuit board teaching and provide a method for circuit board detecting and fault diagnoses.
Design and Realization of a Certain Type of Radio Detecting Repair and Training Platform
Authors: Shao Zhi Chao , Tu Jian Hua , Shu Chang , Liu Jun Xian , Zhou Peng , Han Hong Liang
Published: September 2012

For the purpose of testing, detecting and maintaining a certain type of radio, a detection and maintenance training platform is researched and invented. The paper introduces the design and realization of the platform, which consists of two parts: the adapter and the host computer software. Practice shows that the platform, running stably and reliably, can greatly improve the testing, inspection and maintenance of the machine and the circuit board of the radio, so that provides convenience for teaching the radio.
Design of Application Platform for Wireless Sensor Networks
Authors: Wang Shu Qian , Zhang Wei , Zhu Zhang Wei , Hu Cheng Quan , He Li Li
Published: September 2012

One of the bottlenecks that slow down the development the wireless sensor networks application is that people have to design different programs according to the different applications. A wireless sensor network application platform is presented which can be used to rapidly deploy an application by setting simple configuration parameters. The platform consists of two modules: Base station Module and Server Module. Base Station Module receives data from the coordinator by RS232 port，and sends them to the server through socket protocol. It also receives commands and parameters from server and delivers them to the coordinator. The platform also provides human-computer interactive function for users in the Browser/Server structure.
An Application-Layer Distributed Intrusion Detection Model Based on the C/S Mode
Authors: Ding Zhi Guo , Zhu Xue Yong , Yuan Yuan
Published: September 2012

In order to overcome the disadvantages of the traditional distributed intrusion detection system, an application-layer distributed intrusion detection model based on the C/S mode is proposed here. The new model, is composed of a main system of server and several sub-systems of clients, fully utilizes detection abilities of the client by means of computing the belief dynamically, while the cost is not increased. Theoretical analysis and experimental results show that the model is a simple structure, reasonable design and higher accuracy than the traditional models.
An Artificial Neural Network-Based Method for Railway Logistics Network Design
Authors: Wang Dan Zhu , Lang Mao Xiang
Published: September 2012

Logistics network design problem has an important position in the railway logistics development, it has aroused great concern both in railway transportation and logistics research fields. This paper proposes a method for railway logistics network design problem based on artificial neural network model. In the logistics network design method, various influencing factors of railway logistics network have been considered. An evaluation index system of a railway transportation enterprise is set up. Self-Organizing Map neural network algorithm has been used for the creation of logistics network nodes initial set. And the layers division of the logistics network has been determined with the help of BP neural network model. Subsequently an empirical study of a railway logistics enterprise is given to certificate the feasibility and accuracy of this railway logistics network design method.
Additive-Accelerated Mean Regression Model for Multiple Type Recurrent Events
Authors: Liu Huan Bin
Published: September 2012

Recurrent events data is often observed in applied research fields like biostatistics, clinical experiment, and so on. In this paper, an additive-accelerated mean regression model is established for multiple type recurrent events data, and the estimation methods of unknown parameter and non-parameter function based on the idea of estimating equation are given.
HIDS and NIDS Hybrid Intrusion Detection System Model Design
Authors: Wang Zhen Qi , Zhang Dan Kai
Published: September 2012

With the popularity of Internet applications, network security has become one of the issues affecting the world economy. Currently, there is a large space to develop for intrusion detection systems as a relatively new field. For the faults of HIDS or NIDS network intrusion detection system, Papers has designed a hybrid HIDS and NIDS intrusion detection system model, and the introduction of Agent systems, finally through analysis the hybrid model of intrusion detection system, we can acquire its advantages.
Research on Thermally Induced Deformation of Reinforcing Plate Based on Finite Element Simulation
Authors: Bai Hua , Zhang Yi Du
Published: September 2012

The change of ambient temperature will cause deformation during the machining process of large-scale aerospace monolithic component. Based on finite element simulation, thermally induced deformation of reinforcing plate is studied in such aspects as reinforcement structure, clamping method and temperature change, and contact function in finite element software is used to simulate the unilateral constraint between workpiece and worktable. The results indicate that reinforcing plate will produce warping deformation due to the change of ambient temperature. Different reinforcement structures and clamping methods have important influence on the deformation positions and degrees, and the deformation is proportional to the temperature change.
Strength Analysis of the Submersible Mixer
Authors: Shi Wei Dong , Tian Fei , Lu Xi Ning , Gao Yi , Ou Ming Xiong
Published: September 2012

Pro/E software was utilized to build the three-dimensional model. Then, the large-scale computational fluid dynamics software ICEM software was used to build unstructured grid of wastewater treatment pool. Based on the CFX software，the wastewater treatment pool was numerically simulated by dynamic coordinate system technology and RNG k-ε turbulent model and PIOS algorithm, and fluid flew in the wastewater treatment pool was analyzed. Considering motor rotor system participates as part of the rotor system in calculation, rotor system of submersible mixer was strength analysis and modal analysis based on fluid-solid coupling. The results show that: the fluid in wastewater treatment pool can be propelled by the submersible mixer, and diffuses along the radial. The rotating speed of the submersible mixer is far smaller than critical speed, so the rotating speed is safe and reliable. This methold has certain significance. It can guide submersible mixer hydraulic performance in design, simulation and Engineering application.
Research of Condition Monitoring and Fault Diagnosis Techniques for Wind Turbine Gearbox
Authors: Zhong Xian You , Zeng Liang Cai , Zhao Chun Hua , Zhang Jin , Wan Shi Qing
Published: September 2012

Wind power industry enormously expanded during the last several years. However, wind turbines are subjected to different sorts of failures, which lead to the increasement of the cost. The wind turbine gearbox is the most critical component in terms of high failure rates and long time to repair. This paper described common failures and root causes of wind turbine gearboxes. Then it focused on fault diagnosis and monitoring techniques for the wind turbine gearbox. The challenges and future research directions were presented, and the simulator rig of wind turbine gearbox was designed to develop condition monitoring and fault diagnosis techniques for wind turbine gearbox.
A Study on Structural Characteristics of Biomass Briquette Boiler
Authors: Sheng Ji Sheng , Wang Biao Bing , Li Wen Jian
Published: September 2012

According to the experimental analysis on characteristics and combustion law of the biomass briquette, it designs the biomass briquette boiler based on the detailed thermodynamic calculation to promote the boiler’s combustion and thermal efficiency. The boiler adopts the chain grate stoker which strengthens the combustion intensity of the hearth. The longer the hearth becomes, the more intense the combustion of the biomass briquette is, so that the biomass briquette boiler of thermo performance design has helped realize such goals.
Research on Comparison of Methodology between Industrial Engineering and Value Engineering
Authors: Wang Dong Hua , Ge Xin
Published: September 2012

This article expounds that there is consistent methodology between Industrial Engineering (IE) and Value Engineering (VE) from the aspects of the value orientation, the targets and the system view, and explores the differences and similarity of technical means. Based on the innovative thinking of Hehe philosophy and following the trend of combined use of IE and VE, this paper builds the integrative system of “IE+VE” and proposes the “tool kit” under the consistent pursuit of value.
A Time-Variant Reliability Analysis of Reinforced Concrete Beams Working with Cracks under High Temperature
Authors: Wang Zhen Qing , Qiao Mu , Han Yu Lai , Ju Zhu
Published: September 2012

The reliability of a reinforced concrete beam has been largely discounted when it under the action of fire. For a more accurate description of concrete beams’ reliability, the impact of cracks in reinforced concrete beams has been taking into account. Concrete is divided into elastic zone and plastic zone to calculate its strength. A simple and feasible time-variant model of reliability index of reinforced concrete beams under fire has been given. The effect of ISO834 temperature rising curve on the reliability index of concrete beam at different time has been analyzed. The reliability of a reinforced concrete beam under the ISO834 standard heating curve was assessed by first order second moment method.
Mining Closed Repetitive Gapped Sequential Patterns Based on Repetition Linked WAP-Tree
Authors: Dong Jun , Xie Yu Jie , Ren Jia Dong , Zhou Wei Wei
Published: September 2012

Closed repetitive gapped sequential pattern mining has been gained more and more attention in recent years, in this paper, we propose a novel method MRCGP(mining closed repetitive gapped sequential pattern based on repetition linked WAP-Tree). In the first step of MRCGP, the given sequential database is transformed into a new database in which every item is expressed by its landmark; then a positional information table(PIT) which includes all of the position information of 1-frequent items is constructed, all of the repetitive gapped 2-sequential patterns of different items (RPDI) can be obtained through searching the positional information table; following, a repetitive linked web access pattern tree (RLWAP-Tree) is built, in RLWAP-Tree, the 1-frequent items are stored as header table, the items in header table will be linked to their same items which appear earliest in each sequence corresponding to RLWAP-Tree with solid line, all of the items in RLWAP-Tree are linked to their same items in the same sequences with broken line; through mining projection tree of the existing repetitive gapped pattern recursively, we can obtain the repetitive gapped sequential pattern; at the end, we get the closed repetitive gapped sequential pattern by checking inclusion relation of any two patterns. The experiment result shows MRCGP has better time efficiency.
On the Three-Dimensional Laser Bending of Metal Tubes
Authors: Hao Nan Hai , Gai Yu Ling
Published: September 2012

Laser tube bending is a kind of plastic forming method with high flexibility, and is suitable for the low ductility material and thin thickness tube. This paper proposes a systematic scheme for three-dimensional tube bending, which forms the tube by varying the bending position and bending direction continuously. The bending part is simplified as a three-dimensional curve and then the curve is divided into segments and substituted with line sections. The scheme takes the angle between two adjacent segments as the laser bending angle at each bending position and the angle between two adjacent bending plane as the variation of bending direction. The effectiveness of proposed scheme is verified with the forming of a helical tube experimentally. The dimension errors of the formed helical tube are 6.25% in diameter and 7.59% in pitch respectively.
Wavelet-Based Tool Path Generation for Contour NC Machining
Authors: Yu Jia Qing , Zhao Gang
Published: September 2012

The high resolution curves could be transformed to low resolution curves by wavelet analysis. A new method for boundary preserving of the low resolution curve by modify the knot vector and the control points is represented. The definition of the deviation curve is proposed, and the discrete deviation curve method is represented to estimate the deviation between the low and high resolution curves. Wavelet-based tool path is generated for the contour NC machining by using the low resolution curves as the references. The experimental results demonstrate that the wavelet-based tool path has less information and is smoother than the traditional method’s. So it could reduce the calculating amount and improve the machining efficiency.
Mechanical Analysis of Conflux Channel of Containment Sump Strainer
Authors: Lu Guang Yao , Ren Jun Sheng , Liu Peng Liang
Published: September 2012

In this paper, the conflux channel of the containment sump strainer in nuclear power station was adopted as the research object. The modal analysis and the stress calculations were conducted in LOCA (Loss-of-Coolant Accident) condition to test the validity of the conflux channel. The research results could provide the basis for designing the double filter cylinder of the compact containment sump strainers.