bluuebunny/crossref_metadata_2025 huggingface dataset:
A Medical Image Segmentation Method Fusing Anisotropic Diffusion Model
Authors: Zhang Meng Meng , Ma Ling , Yang Zhi Hui , Yang Yang , Bai Hui Hui
Published: July 2011

The denoising principal of the anisotropic diffusion equation is studied. Adaptive filtering of image is realized by combining the improved image structural similarity algorithm and the anisotropic diffusion equation. This algorithm is applied to medical image segmentation. Experimental results show that the improved algorithm has good robustness and advantages in the application of adaptive medical image filtering and segmentation.
Research of Text Topic Automatic Extraction Method Based on Rough Set Theory
Authors: Sun Zhan Feng , Bao Kong Jun
Published: July 2011

On the base of researching currently popular text topic extraction technologies, a new text topic automatic abstracting method is proposed based on rough set theory and rough similarity. Firstly it separated a text into words and sentences to complete information segmentation, and then constructed a similarity matrix by computing the rough similarity between different words to realize the text clustering, finally extracted representative sentences from each class to generate the text topic. The experiment shows that the method is feasible and effective.
Research on Lossless Digital Watermarking Algorithm on Digital Vector Maps
Authors: Huang Cheng , Dai Rong
Published: July 2011

Lossless digital watermarking algorithm based on attribute information has been presented based on the location information and coordinate information of vertex in vector maps. With the knowledge of data structure and file structure of digital vector maps, its attribute information has been presented in detail and a lossless scheme with zero-bit dynamical extension has been proposed. On the basis of this, space clustering analysis with grid density was used to increase robustness of the scheme.
Bee Immune Evolutionary Algorithm
Authors: Li Zuo Yong , Yu Chun Xue , Zang Lei
Published: July 2011

The bee immune evolutionary algorithm was proposed in order to improve effectively the optimal ability of bee evolutionary genetic algorithm. In the evolutionary process of bee, the algorithm made on immune evolutionary iteration calculation, generate next-generation population, in the proportions of fitness values for the best individual and second-best individuals in each generation. Because the algorithm takes in the neighborhood of space search as well out the neighborhood of space search for the some optimal individuals, meanwhile, with iterative numbers increase, capability of local search can be strengthened gradually; the bee immune evolutionary algorithm can approach the global optimal solution with higher accuracy. The calculated results for typical best functions show that the bee immune evolutionary algorithm has better optimal capability and stability.
Virtual Simulation Design of the Pineapple Harvesting Manipulator
Authors: Xia Hong Mei , Zou Xiang Jun , Wang Hong Jun
Published: July 2011

A pineapple harvesting robot consisted of a manipulator arm, an end-actuator, a positioning identification device, a frame, a fruit box, a traveling mechanism and a control system was put forward. Four degrees of freedom, including X, Y, Z axis translations and a wrist rotation were required for pineapple picking. A cartesian-coordinate mechanism scheme for the manipulator arm was designed. A sliding-lever double-fulcrum structure was selected for the clamping mechanism of the end-actuator. The cutting device was designed. Pro/E software was applied for establishing 3-D parametric model of parts, assembling parts or components. By setting constraint relations among parts or components, general assembly model of the harvesting manipulator was built. Through several times of simulation with different motion parameters, repeated result analysis and dynamic interference check, optimized structure and working parameters of the pineapple harvesting manipulator was obtained.
Development and Application of Mining Spares Management Information System
Authors: Gong Peng Wei , Wang Li Hui
Published: July 2011

The mining spares management is an important part of mining enterprise information management. Starting from actual demands of mining enterprises and combining theories, this article develops mining spares management information system based on the BS framework. Major modules of the system includes functional modules such as basic data maintenance, spares inventory transaction processing, spares inventory transaction query and spares inventory information statistics and etc., so that the system basically realizes main functions of mining spares management and is able to give certain assistance to mining enterprises.
Study on the Navigation of Patrol Robot of Transformer Substation Based on Color Vision and RFID
Authors: Fan Song Hai , Xia Dong Xue
Published: July 2011

The robustness and real-time performance are of the greatest significance for the navigation of the patrol robot in the transformer substation. To meet this demand, a navigation and position approach is presented in this paper based on color vision and RFID(Radio Frequency Identification) technology. In the presented system, the position information is provided by RFID tags and navigation is completed by the extraction of guidelines. Based on the deep analysis of the advantages and shortcoming of different color space, a new approach integrating the good real-time performance of grayscale image process and rich information in color images process is presented to improve the robustness and real-time performance of navigation. Fast Hough transform is selected and combined with least square method to detect the navigation line. Experimental results show that the presented method can meet the real-time and robust demand of the navigation of patrol robot.
A Study of Vector Control of Induction Machine Considering Iron Loss
Authors: Ding Dong Sheng , Wang Xue Jie , Luo Xiao Ping
Published: July 2011

Because of the imperfects of traditional induction control system neglecting iron loss, this paper introduced the parallel equivalent resistance of iron loss, and use new mathematical model of induction machine to establish a more accurate vector control system. However, the increased coupling of parameters in induction machine caused by iron loss is undeserved. We simplified the decoupled system and utilize fuzzy adaptive mechanism to make the speed tuning process more intelligent and robust. The load and non-load experiments show that fuzzy PID controller overcomes the shortcomings of the traditional, reduces the detrimental impacts of iron loss, take advantages of the active impacts from it as well. In the new control system, it adapts to both inner and environmental parameters well, the torque and exciting current are smoother and lower. So, it is extremely meaningful and conducive to the realization of the economical speed tuning.
Investigation on the Combustion and Emission Characteristics of Light-Vehicle Diesel Engine Fueled with Bio-Diesel
Authors: Tao Yi
Published: July 2011

Tests were performed with a light-vehicle diesel engine. Four representative operating conditions in 1600r/min speed have been considered. This article compares the combustion and emission characteristics of engine fueled with Bio-diesel and standard diesel. The results showed that the ignition delay time and combustion duration shorten when fuel with bio-diesel. Bio-diesel contains more oxygen and that contribute to complete combustion of fuel. The combustion of bio-diesel fuel results higher NOx emission and lower HC、CO emissions at all operating conditions. But lower Soot emission because of bio-diesel dose not contains sulfides. At the same time, fuel consumption higher, because calorific value of bio-diesel is lower than standard diesel.
The Distribution and Development Proposals of MSPE Degree Programs in China
Authors: Luo Yan Rui
Published: July 2011

Starting from regional distribution, unit distribution, enrollment distribution and other parameters, the paper makes a multi-angle and all-round analysis of the distribution of master of science in physical education (MSPE) degree programs in China, pointing out that regional balance of MSPE should pay attention to in future development. To promote the development of MSPE education, the regional enrollment should be optimized according to social needs, independent training should be maintained, and the training system should be improved.
Remote Sensing Image Segmentation of Ulan Buh Desert Based on Mathematical Morphology
Authors: Li Feng Ri , Wang He Zhi , Jia Wei Wei , Liu Zhao Gang
Published: July 2011

As the basis of 1:10000 color aerial remote sensing image of Ulan Buh Desert, Inner Mongolia, this paper studies on white thorn which is a typical representative of the nature of scarcity and mass organizations like the vegetation in the desert region. By using mathematical morphology theory and the Matlab 7.0 software, the white thorn will be conducted from the remote sensing image segmentation. Comparing the conducted image with the outer shape of the industry survey results, the accuracy of segmentation could be verified by the gray-level co-occurrence matrix comparisons. This research provides the technical reference for the large sample survey of desert region by remote sensing image segmentation.
The Design and Implementation of 3D Experimental Model Based on VB and OpenGL
Authors: Liu Yang , Fang Wen Bo , Qin Nan Xin , Yu Hong
Published: July 2011

OpenGL is an excellent tool for developing 3D graphics. Because of its language based on C language, the documents which about OpenGL application in VB are very scarce currently. This article uses a 3D experimental model developed by OpenGL in VB environment as example, to introduce how to set up OpenGL framework in VB, and how to draw 3D graphics and implement interact, how to use the transformation matrix to control the transformations of 3D graphics, to provide some experiences and methods for VB programmers.
Design and Implementation of Virtual Visualization Growth System of Individual Mongolian Pine in Plantations
Authors: Dong Ling Bo , Liu Zhao Gang
Published: July 2011

The visualization of individual tree dynamic growth process provides a more intuitively visual display of individual tree growth process and effectively supports the forestry education and scientific researches. This paper presents an approach of combining the systematic analysis method and mathematical modeling techniques to realize the visual expression of the dynamic growth process of individual Mongolian pines in plantations. Quantitative analysis of morphological data and theoretical growth equation lay the foundation for establishing the dynamic growth model of individual Mongolian pines, which includes a primary branch diameter (BD) growth model, a primary branch length (BL) growth model, a height growth model, a diameter at breast height (DBH) growth model, a height of clear branches (HCB) growth model and a crown length (CL) growth model. Consolidating results of previous study--crown structure models and the development platform of VC++6.0 and OpenGL, we successfully established the virtual visualization system of individual tree growth for Mongolian pine plantation, and therefore implemented the nice integration of growth mechanism and morphological characteristics of individual Mongolian pines in plantation. The visual expression of individual tree growth provides a prerequisite for the visual forest management. In addition, it also offers a good reference for the visualization of other species.
Dynamical Stability Behaviors of Fluid-Conveyed Double-Walled Carbon Nanotubes
Authors: Yan Yan , Wang Wen Quan
Published: July 2011

Based on an elastic beam model, potential flow theory and N-mode Galerkin discretization technique, the dynamical stability behaviors of fluid-conveyed double-walled carbon nanotubes (DWCNTs) considering geometry nonlinearity relating to the time as variation of the flow velocity are studied. The results show that the bifurcations happen in turn of pitchfork and Hopf types as the flow velocity increases. The vdW forces do not change the bifurcation types but make the critical velocities increase sharply. Furthermore, the vdW forces play a critical role in keeping the synchronization of the time histories of the amplitudes or the velocities of different layers of the CNTs-fluid system.
An Optimization Method for Constraint Web Service Composition Based on Fuzzy Petri Net
Authors: Fang Xian Wen , Feng Ying Hua , Yin Zhi Xiang
Published: July 2011

With the development of Web service theories and technologies, it has been an effective approach to satisfy users’ requirements by service composition. For independent global constraints Web services composition problem, the paper presents an optimization method of Web service composition with constraint using fuzzy Petri net(FPN), which can transforms solving the optimal service composition problem into locating the largest trust value of legal firing sequences in the FPN model. Then we use the cooperative algorithm including simulated annealing and genetic algorithm (SAGA) to find the optimal legal sequences. The experimental results show that the method can not only reduce the time cost, but also find more feasible solutions.
Research on High-Level Semantic Image Retrieval
Authors: Ri Chang Yong , Yao Min
Published: July 2011

This paper presented the key problems to shorten “semantic gap” between low-level visual features and high-level semantic features to implement high-level semantic image retrieval. First, introduced ontology based semantic image description and semantic extraction methods based on machine learning. Then, illustrated image grammar on the high-level semantic image understanding and retrieval, and-or graph and context based methods of semantic image. Finally, we discussed the development directions and research emphases in this field.
Efficient Algorithm of Computing the Shortest Distance of Massive Points Based on Probability and Statistics Model
Authors: Deng Ji Qiu , Zhang Jie
Published: July 2011

Through adopting probability and statistics model in the process of computing shortest distance, partition strategy can solve the low efficiency of traditional algorithm. Theoretically the time complexity could be reduced to O(N). In this article main algorithms are provided and the factors of affecting algorithms efficiency are also discussed. Finally put forward some applications of the algorithms in our life and research.
Based on a JAVA Language Embryology Remote Testing System for the Development and Application
Authors: Chen Zhi Wei , Wang Li Hong , Xu Hui Yu
Published: July 2011

Multimedia and the Internet as a representative of the modern information technology put society as a whole is an organic whole repeatedly, the wisdom of the ages and all mankind will converge at worldwide covered giant network system. It is a wise networking, not only have extended the human brain thinking activity, but also created a human brain which is developing rapidly every hour and every minute, make it become a mankind can share the precious resources. More importantly, the information is changing our way of life, sense of living, learning method and thinking mode.
Study on Clinical Immunology and Inspection through Creating Virtual Lab
Authors: Xu Hui Yu , Chen Zhi Wei , Guan Jie
Published: July 2011

Because the present science and technology development, clinical epidemic studies and inspection of experiment teaching improved, the emergence of a new model of experimental teaching, such as network visual media experiment, the experimental process with virtual laboratory way vivid show in the student, arouse the students' interest in learning, deepened the student to experiment of understanding. His paper mainly introduced how to use Windows Moviemaker software product virtual laboratory introduction Clinical immunology and test experimental teaching form obsolete, the enthusiasm of students to do the experiments is not high; the experimental teaching means of a single, involved the experiment content is not much, lack the overall ensign, the affect of test is not well; the experiment lesson is insufficient; laboratory equipment is insufficient, cannot satisfy the needs of the students. Now, in view of the above problems there is a new model of experimental teaching, such as network visual media experiment, the experimental process with virtual laboratory way vivid mage display in the student and arouse the students' interest in learning, deepened the student to experiment of understanding[1,2]. This paper mainly introduced how to use Windows Moviemaker software production virtual laboratory.
Oral Histological Pathology Digital Curriculum Construction and Application
Authors: Zhang Hai Yan , Wang Li Hong , Tian Jing , Chen Zhi Wei
Published: July 2011

The paper would put the content of oral histological pathology and the network together, learning this course more convenient and visualize, initiating the interest of study. Using web pages (flash) and photo editing software (Photoshop) make teaching content vividly and as questionnaire to evaluate effect evaluation. Through digital course of study, the feedback is better, achievement is obviously improved. Digital learning mode applications have a good effect to students.
The Radar Signal Feature-Separability Model Analysis
Authors: Yu Zhi Bin , Chen Chun Xia
Published: July 2011

The one-dimensional feature-separability model concerning the feature-separability issue of radar emitter signals is proposed based on the probability theory and statistical theory, to evaluate the deinterleaving and recognition capability of extracted features. The proposed method is applied to analyze convention features of radar emitter signals. The theoretical analysis and experimental results show that the proposed model offers a new way to analyze the validity of extracted features, and is valid in both the original feature space and linear-transformed feature space.
Local Upsampling Fourier Transform for High Accuracy Image Rotation Estimation
Authors: Wang Cai Ling , Zhao Chun Xia , Yang Jing Yu
Published: July 2011

A high accuracy rotation angle estimation algorithm based on Local Upsampling Fourier Transform (LUFT) is developed in this paper. The LUFT uses a hierarchical strategy to estimate the rotation, which consists of a transformation of rotation to translation, a fast coarse rotation estimation and a robust refinement stage as well. The coarse rotation is estimated through the conventional Phase Only Correlation (POC), then, it is refined by the resampling technique within a local neighborhood in frequency domain. Furthermore, as will be shown in many experiments, the LUFT can achieve high accuracy rotation estimation, where the accuracy is tunable to some extent. Specially, it is efficient and robust to noise.
Trust Measurement Model for Industrial Control Ethernet Network
Authors: Zhou Sen Xin , Han Jiang Hong , Tang Hao
Published: July 2011

The application of fieldbus has been limited due to the high cost of hardware and the difficulty in interfacing with multivendor products. In order to solve these problems, the computer network technology, especially Ethernet, is being adopted by the industrial automation field. The key technical obstacle for Ethernet for industrial applications is that its nondeterministic behavior makes it inadequate for real-time applications, where the frames containing real-time information, such as control command and alarm signal, have to be delivered within a certain time limit. Recently, the development of switched Ethernet shows a very promising prospect for industrial applications due to the elimination of uncertainties in the network operation that leads to the dramatically improved performance. We propose a trust evaluation model for industrial control ethernet network . Our study shows the importance and necessity of applying theoretical analyses to understand the complex characteristics of trusted industrial control ethernet networks.
The Study of A Management Information System Based on AOP and MDA
Authors: Zhang Jing Jun , Wei Fei , Li Hui
Published: July 2011

This paper introduces Model Driven Architecture(MDA) and Aspect Oriented Programming(AOP), based on train online ticketing system, it describes various modules of the activity diagram and class diagram of this system. Through the activity diagram, it knows that which is crosscutting concerns, and then modeling for the crosscutting concern. This paper is improving the traditional MDA modeling with AOP technology.
Management Concept of Modern Distance and Open University: Taking Consideration to Social Responsibilities and Operating Performance
Authors: Li Fan , Wang Fei
Published: July 2011

Paying more attention to economic benefit but less to social responsibility is a problem faced by many Radio & TV universities in China. As the most successful distance education university in the world, the Open University of UK provides much experience on management model. Favorable benefit and well development tendency are gotten by hammering at shouldering community responsibilities and winning public praise with quality. The management strategy of it would make contributions to the development of China’s Radio & TV universities.
Using Information Entropy as Weight Determination Approach in Breast Cancer Case Retrieval
Authors: Gu Dong Xiao , Liang Chang Yong , Chen Wen En , Lu Wen Xing , Zuo Chun Rong
Published: July 2011

Currently, the earlier detection, diagnosis and treatment to breast cancer still mainly depend on physicians’ experience and knowledge. Case-Based Reasoning (CBR) mimics oncologists’ real thinking process and therefore is appropriate to the diagnosis decision making. In CBR, weight derivation as a key step is commonly conducted by expert score approaches using Delphi method. The accuracy of case matching largely changes with the selection and experience of experts. In this paper, information entropy for weight determination is introduced into the CBR. We conduct experimental studies to compare the performance of Delphi method and information entropy. The results suggest that: generally, information entropy is a better approach to weight derivation.
High Resolution Video Image Based Real-Time Monitoring System for Violation Trucks
Authors: Mei Jian Qiang , Mo Shao Qing , Guo Yi Ni , Zhang Jun , Liu Zheng Guang
Published: July 2011

Due to the issues of recent traffic situation and the problems of current vehicle recognition systems, a high resolution video image based real-time monitoring system for multi-lane violation trucks is presented and implemented in this paper. A soft-trigger technique based background-blocks is utilized to detect the big vehicles in real-time, then a step-by-step feature extraction and recognition approach effects from the facial window to entire vehicle body is proposed based on Sobel operator and Hough transform. Experimental results indicate the accuracy and efficient of proposed system, which has high practical value for several applications.
Optimization Approach for Multi-Stork Inventory Routing Problem
Authors: Lei Jun Cheng , Wu Yan Peng , Zeng Wen Fei
Published: July 2011

Inventory routing problem is one of the key issues to achieve integrated management of logistics. Solving this problem effectively, we can improve vehicle utilization, and reduce distribution costs. This paper, concerning the problem in inventory routing of multi-variety, multi-vendor to multi-customers, proposed heuristic algorithm based on greedy rules. The core strategy of the algorithm is to choose circularly the current lowest unit cost routine ---Hamilton delivery routes. Simulation shows that the algorithm reduces the unloaded ratio of truck, raises the efficiency of truck delivery and saves transport costs.
Research on Infrequent Features Extraction from Chinese Reviews
Authors: Li Shi , Lu Guang
Published: July 2011

Now many customers browse a large number of online reviews to know others’ word-of-mouth about products and services prior to making their decisions. Meanwhile customer reviews serve as a feedback mechanism that can help suppliers improve their products and services, gaining competitive advantages. Specifically, product feature extractions from reviews are expected to further investigate the views and attitudes of customers. This study aims at analyzing Chinese customer reviews. Our approach was based on a recently introduced mining approach, and adding infrequent feature to the candidate features dataset by the algorithm proposed in this paper. Experiments were conducted using the reviews download from Internet as datasets. Empirical results proved that in Chinese reviews feature mining, it is not appropriate for add the infrequent features.
Metric-Based Semi-Supervised Fuzzy C-Means Clustering
Authors: Yin Xue Song , Huang Qi , Li Liang Ming
Published: July 2011

This paper presents a metric-based semi-supervised fuzzy c-means algorithm called MSFCM. Through using side information and unlabeled data together, MSFCM can be applied to both clustering and classification tasks. The resulting algorithm has the following advantages compared with semi-supervised clustering: firstly, membership degree as side information is used to guide the clustering of the data; secondly, through the metric learned, clustering accuracy can be greatly improved. Experimental results on a collection of real-world data sets demonstrated the effectiveness of the proposed algorithm.
Study on the Multi-Axis Motion Control System Based on Ether CAT
Authors: Shi Da Fa
Published: July 2011

Now, the complication and systemization of the industry is increasing day after day, which make it hard to design the motion control system. However, the technology of field control is increasing, and the motion control system based on the network is widely used. The company of beck Hoff introduced the Ether CAT network, which can be configured easily, and the speed of communication is high, and in some way, the technology has become the focus of the studying the automation. This paper analyst the application for the Ether CAT in the multi-axis motion control system.
Survey of Keyword Filtering for Anti-Active Jamming in Chinese
Authors: Luo Wan Wen , Gao Fei , Zhou Xue Guang
Published: July 2011

This paper made an induction from case of keyword filtering based on anti-active jamming in Chinese. The main work was summarized related works of current situation and technology level, and then analyzed existed problems for traditional information filtering, at last was the trend of forecasting for keyword filtering based on anti-active jamming in Chinese.
A New Display Method of Medical Images
Authors: Liu Ai Min
Published: July 2011

There are a few of methods for viewing from medical dataset, including reflecting_show, projecting_show, slicing show. In this article, our research is considered for medical treat and computer’s rapid display, based on IBR technique. Viewing is derived from many images from human brain MRI dataset with Matlab and VC platform. Result shows that this position of display is fairly quick, precise and flexible. Its shortage lies in that the time of preprocessing consumes long, two dimensions.
MD: A New Mobile User Interface Model
Authors: Guo Cu , Hua Qing Yi , Li Ya Ming , Chang Yan Shuo , Pan Hong An
Published: July 2011

In view of various shortcomings of the traditional MVC model and PAC model in mobile applications, this paper presents a new type of mobile user interface model named MD to guide the mobile user interface design and prototyping. MD model reasonably distributes the tasks between front-end and back-end: input and output are closely coupled as front code put in the D to achieve macro-communication, application model can be considered as back code put in the M. This model effectively solves the power restricted and other problems of mobile devices. By applying this model to the prototype development of Android-based Interactive Graphics Toolkit—AIGT, we verifies the feasibility and effectiveness of the model.
Application of ICA-CMAC in the Prediction of Human Hepatic Clearance
Authors: Ge Ying Qi , Luo Xiao Ping , Mao Qian Ming
Published: July 2011

In this paper, a novel improved Credit Assigned CMAC (ICA-CMAC) is designed based on the concept of credit to enhance the performance of the traditional CMAC. Then ICA-CMAC is used to predict the human hepatic clearance according to in-vitro data of drugs. The experiment results show that the prediction by ICA-CMAC is faster and more accurate and can be thought as a new and effective way for drug metabolism prediction.
Study on Pedestrian Detection Method Based on HOG Features and SVM
Authors: Xi Hai Yan , Xiao Zhi Tao , Zhang Fang
Published: July 2011

The research of pedestrian detection ahead of vehicle is the front direction in the field of vehicle safety assistant driving at present. The method of SVM pedestrian detection based on HOG features is studied in this paper. Firstly, the histograms of oriented gradient features between pedestrian and non-pedestrian samples are extracted. Then the features are used as an input vector of SVM algorithm, getting pedestrian classifier with a higher recognition by training. Finally the trained classifier is loaded into the online pedestrian detection system to detect the transport road image. The experimental results show that the algorithm can effectively identify the different scales and attitude pedestrian in complex background.
A Genetic Algorithm Based Solution with Schedule Mode for RCPSP
Authors: Ren Yan Hua , Kong De Cai , Peng Wu Liang
Published: July 2011

Resource-Constrained Project Scheduling Problem (RCPSP) is a well-known NP hard problem and more intelligent optimization algorithms are developed to solve it. In this paper, genetic algorithm(GA) is employed to deal with RCPSP. A priority value encoding scheme is designed to in the algorithm. The numerical results indicate that our methods is slightly better as far as solution quality is concerned and requires smaller solution time than the GA where an activity list encoding with schedule mode is used.
Study on the HMM of Nonlinear Nominal Exchange Rates
Authors: Zhang Shuo , Hui Xiao Feng
Published: July 2011

The exchange rate model for the study of the exchange rate theory has very important significance. After analyzing the successful nonlinear model of real exchange rate based on the purchasing power parity (PPP) theory, the nonlinear problem of nominal exchange rate is studied in this paper. Through a research on a period of nominal exchange rate with nonlinear characteristics, a nonlinear statistical model of nominal exchange rate based on the hidden Markov model (HMM) is proposed, and the parameters of the model are estimated. Hypothesis testing shows that the model can accurately describe the statistical characteristics of the nominal exchange rate time series. The parameters showed that the nominal exchange rate model proposed in this paper, to some extent, supports that deviations from purchasing power parity (PPP) are nonlinear mean reversions.
On Web Service Composition with QoS Constraint
Authors: Liu Wen Tao
Published: July 2011

The software architecture based on web service has become the critical technique to construct system in the distributed environments. The web service composition is the most important method to find the correct service in the complicated application circumstance. The key question is to find service based on the QoS and how to guarantee the quality. This thesis focuses the web service composition in order to get dynamic business cooperation and integration. The key component of web service is discussed and the method of web service composition is analyzed including the formalization verification and service composition architecture and the QoS-aware composition methods. Aimed at the application of web service composition, a method based on approved genetic algorithm is put forward. The simple genetic algorithm based web service composition has many problems such as slow convergence rate and non-optimal service composition. In this paper a genetic algorithm based on niche is provided for the Qos-aware composition and it can get more accurate service composition result and can get the optimal path quickly especially in the large scale problems according to the experiment.
Research on Soil Erosion in Harbin Based on GIS
Authors: Chen Zhen , Liu Chang , Liu Zhao Gang
Published: July 2011

The focus of soil erosion research has been in two categories: (i) built USLE based on the GIS platform, carried out a dynamic study of the soil erosion in Harbin;(ii) influence of forest cover and landforms on soil erosion comprehensively. Research shows that, the serious erosion area in 1990 and 2005 account for 28% and 41% of the total respectively. It mostly distributed in Shangzhi, Wuchang, Binxian, Acheng, Bayan. And the gully erosion of Bayan, Shangzhi has reached 11,000 t/a. The affect of geomorphology on soil erosion space variation mainly showed the erosion focus on the area with a gradient fewer than 25°, the erosion mostly shared in arable land with a slope between 10°and 25°. The soil erosion changes with the woodland changes, compare 2005 with 1990, the area of woodland has fallen by 3027.48 km2 and the total amount of erosion has increased 4,669.11 t/a.
Introduction to Management of Henan Talent Market
Authors: Miao Bin
Published: July 2011

Talent market is a mechanism to allocate and adjust the human resources according to the market laws. The article introduces operation management and mode of human resources market in henna, also puts forward Henan talent market management problems and gives some management countermeasures.
Research on the Curriculum Development for Software Technology Major in Higher Vocational Schools Based on Work Process
Authors: Zhang Zong Fei
Published: July 2011

The curriculum development is the core task of the current teaching reform of higher vocational schools in China. The curriculum development for the higher vocational education is a complicated systematic project. With the software technology major in Taizhou Vocational & Technical College as its background, according to the curriculum development theory based on work process, this paper first analyzes the basic methods of curriculum development, and then researches on the curriculum development technologies for software technology major in higher vocational schools from the four aspects of work task analysis, typical work integration, curriculum system construction and curriculum teaching implementation, and designs a specific implementation process. Practice shows that the proposed method of curriculum development in this paper has strong operability and obvious implementation results, which provides curriculum reform for the software technology major in higher vocational schools in China with a significance of reference.
The Application of PS-InSAR Technology on Land Subsidence in Cangzhou Region
Authors: Lei Kun Chao , Gong Hui Li , Li Xiao Juan , Chen Bei Bei , Li Ji Wei , Song Liu Lin
Published: July 2011

Land subsidence in Cangzhou of the North China Plain, has been an ongoing problem for the past four decades (since the later 1970s). With the development of new synthetic aperture radar(SAR)sensors and interferometric synthetic aperture radar(InSAR) techniques, the application of satellite Radar data have enhanced capabilities to detect and monitor ground displacements with centimeter to millimeter precision at greater spatial detail and higher temporal resolution. We use Permanent Scatterers interferometric synthetic aperture radar（PS-InSAR）technology (Hooper, A.2004) to detect and measure ground movement in this area（from2004 to 2007）. Results of the cangzhou region study are reported and the utility of the InSAR methodology is discussed.
Performance Analysis of OLSR Routing Protocol Based on IPv6
Authors: Huang Kai Yin , Xu Yan Xia , Wen Li Juan , Gao Bao Jun
Published: July 2011

This paper introduces the OLSR routing protocol,IPv4 and IPv6 address protocol's characteristics and internal mechanism.Through simulation, we will see the performance of OLSR routing protocol based on IPv4 and IPv6 address protocol.Experiments show that less HELLO message and TC message will need and smaller jitter will get while using the OLSR routing protocol based on IPv6.But bigger delay and smaller throughput will appear compared with OLSR routing protocol based on IPv4 address protocol.
To Promote Agricultural Majors by Rendering Service to the Economy of Three-Dimensional Rural Issues
Authors: Zhou Xia Zhong
Published: July 2011

The thesis makes a study on the experience as to the location and three-dimensional rural service of Yiyang Vocational and Technical College, so as to elaborate for reference the following fields including not only site selection and agricultural service, but also measures concerning the promotion of agricultural-related subjects, higher vocational college students, rural entrepreneurial talented persons, new migrant workers’ training, agricultural technical service and so forth.
Antimicrobial Resistance Profile of Citrobacter freundii Isolated from the First Bethune Hospital
Authors: Xu Jian Cheng , Wang Li Qiang , Wang Jun , Zhou Qi
Published: July 2011

Citrobacter freundii is important causes of nosocomial infections.The present study aimed to evaluate the antibiotic resistance profiles of Citrobacter freundii isolated from the First Bethune Hospital. Disk diffusion method was used to study the antimicrobial resistance. The data were analyzed by WHONET 5 software according to Clinical and Laboratory Standards Institute (CLSI). The majority of 432 strains of Citrobacter freundii were collected from sputum (240, 55.6%), secretions and pus (85, 19.7%), blood (58, 13.4%). All the Citrobacter freundii isolates were sensitive to imipenem and meropenem. Citrobacter freundii strains were frequently resistant to multiple antibiotics. The results suggest that surveillance of antimicrobial resistance in Citrobacter freundii is necessary.
Antimicrobial Resistance Surveillance of Klebsiella Spp. Isolated from the First Bethune Hospital
Authors: Xu Jian Cheng , Han Jun , Yang Yan Ling , Zhou Qi
Published: July 2011

Klebsiella spp.are opportunistic pathogens which frequently cause community and nosocomial infections.The present study aimed to evaluate the antibiotic resistance profiles of Klebsiella spp. isolated from the First Bethune Hospital. Disk diffusion method was used to study the antimicrobial resistance. The data were analyzed by WHONET 5 software according to Clinical and Laboratory Standards Institute (CLSI). The majority of 3149 strains of Klebsiella spp. were collected from sputum（1890, 60.0%），blood（378, 12.0%） and secretions（315, 10.0%）. The percentage of extended-spectrum β-lactamases (ESBLs) in Klebsiellaspp. was 53.8% (1694/3149). Klebsiella spp. strains were frequently resistant to multiple antibiotics. Antimicrobial resistance of ESBL-producing Klebsiella spp. was more serious than that of non-ESBL-producing isolates. The results suggest that surveillance of antimicrobial resistance in Klebsiella spp. is necessary.
Research on Network Parameter Model of Node Low Energy Consumption Wireless Sensor Network for Greenhouse
Authors: Shen Min , Zhang Rong Biao
Published: July 2011

Based on the node low energy consumption wireless sensor network for greenhouse, which takes mobile gathering node as center to self-organize subnets, this article mainly studies the relationship among network parameters and strike a balance between energy saving and system stability to establish the model of network parameter. Examples are illustrated to show how to determine network parameters and why the model is effective.
The Impact of IT Capability on Firm Performance Perspectives on the Mediating Effects of Business Process Transform Mode
Authors: Zhang He Da , Liu Yan Mei
Published: July 2011

A firm performance is deconstructed into operational, growth and financial performance based on IT capability, then the model of influencing mechanism of IT capability on firm performance is put forward from the perspective of business process transform mode. A questionnaire methodology is used for an empirical test. Our results indicate that IT capability has the great effects on operational and growth performance, and operational performance has the great effects on growth and financial performance, however, growth performance has no significant effects on financial performance. And efficient improvement of business process doesn’t have the great effects on operational performance, while quality of business process change is a mediator to explain the relationship between IT capability and operational performance.
Comparison System of Face Identification Algorithms under Application-Specific
Authors: Zhao Jian Feng , Zeng Wen Hua , Liu Min
Published: July 2011

It has been the academic researching subject how to objectively compare the various face identification algorithms. This paper design a system based on the Colorado State University identification evaluation system, which can compare face identification algorithms under application-specific. First of all, introduced the old system; then taken the logging system for desktop of PC as an example, designed the comparing system of face identification algorithms under application-specific, coded the process of achieving and pre-processed data and described the steps of processing data; at last tested PCA_MahCosine, LDA_ldaSoft, Bayesian_ML, PCA_Euclidean and Bayesian_MAP five common face identification methods, conclude Bayesian_ML algorithm is the best algorithm in face recognition logging system for logging on PC desktop and give the parameter in the system, provide a sample for testing face identification algorithms under application-specific.
A High-Performance Scheduling Algorithm for Buffered Crossbar Switch
Authors: Yang Mei Yue , Wang Peng , Li Xiang Tao , Zhu Sheng Ping
Published: July 2011

The limitations in complexity and scalability of current combined input and cross-point queuing switching scheduling policies are first analyzed. To overcome the deficiencies in supporting fair and QOS scheduling, we propose a fair and simple high-performance scheduling algorithm for Combined Input-Cross-point-Queued Switches, which is called Fair Service and Group Smoothed Round Robin (FGSR). The main idea of FGSR is that it first groups flows according to their weight, then decides which group to be scheduled by SRR and finally decides which flow from the selected group to be scheduled. FGSR is based on round robin mechanism, whose complexity is only O(1). FGSR groups and schedules flows according to the weight of flows, thus it has good fairness and can adapt to the need of real-time performance. Theoretical analysis and simulation results show that FGSR exhibits good delay, throughput and anti-burst performance.
Permanence of Impulsive Differential Systems with Delays
Authors: Hou Wei
Published: July 2011

In this paper, we consider the population models with discrete delays and impulsivee ects. By utilizing a Lyapunov-like functions coupled with certain Razumikin techniques, weobtain conditions for permanence of population models with discrete delays and impulsivee effects.
Design of Data Processing System on Analysis of Variance
Authors: Li Ping , Zeng Ling Ke , Wu Bo , Cheng Xiao Su
Published: July 2011

Data processing system on analysis of variance is developed by using Visual Basic. In this document, it introduced conception and functions about analysis of variance in brief, and explained the design of data processing system on analysis of variance in detail. Further more, we evaluated the performance of data processing system. The result indicated that the system has excellent performance and it is useful in the production and experiment.
LabVIEW-Based Virtual Laboratory for Digital Signal Processing
Authors: Gao Feng , Wu Yun , Lu Shang Qiong
Published: July 2011

Based on National Instruments LabVIEW 2009, a network-edition virtual laboratory for digital signal processing (DSP) has been developed. Which is composed of three functional modules, that is, virtual experiment table, information management, and network communication. Hereinto, virtual experiment table is composed of two sub-modules, i.e. resource & document and simulation experiment; information management module is composed of four sub-modules, i.e. database, user registration, security verification and system management; network communication module is implemented by LabVIEW Web Server. The DSP Virtual Laboratory is suit for experimental teaching of a range of subjects, such as Digital Signal Processing, Signals & Systems, etc. And the designed virtual laboratory can provide users with a remote virtual experimental platform without time and space constraints.
Analytical Studies on Mixed-Mode Debonding along the FRP–Concrete Interface in the Peeling Test
Authors: Qu Hong Chang , Zhang Sheng Li , Chen Ling Ling
Published: July 2011

The bonding of fiber reinforced polymer (FRP) strips and plates to the concrete structures has been found to be an effective technique for flexural strengthening. The FRP is then under both pulling and peeling forces, resulting in a combination of shear sliding and opening displacement along the FRP/concrete interface. A novel experimental set-up is studied that a peeling load is applied on the FRP sheet by a circular rod placed into the central notch of the beam. Based on the linear-elastic fracture mechanics approach, a theoretical analysis is conducted on specimens representing the peeling behavior. From the numerical analysis, the load–displacement curves, load–stiffness of FRP sheet curves, and load–fracture energy curves affected by different variables are discussed. The peel load is related to the FRP sheet stiffness and to the interfacial fracture energy. Therefore, only two material parameters, the interfacial fracture energy of FRP–concrete interface and stiffness of FRP sheets, are necessary to represent the interfacial fracture behavior. The theoretical load–deflection curves of specimens agree well with the corresponding experimental results in the literatures.
Heat Transfer Enhancement of Copper-Water Nanofluids in a Lid-Driven Enclosure with Two Mutually Orthogonal Heated Plates
Authors: Wang Xiao Feng , Li Ding Fang , Hui Feng
Published: July 2011

This paper presents the results of a numerical study on the mixed convection in a lid-driven enclosure filled with a copper-water nanofluid and induced by two mutually orthogonal heated thin plates. Two different boundary conditions (isothermal boundary condition and isoflux boundary condition) are considered. The coupled gonverning equations are solved numerically by a fully fourth-order accurate compact finite difference method. A parametric study is conducted and a set of graphical results is presented and discussed to elucidate that significant heat transfer enhancement can be obtained due to the presence of nanoparticles.
Mathematical Modeling for Developing Iron Bath Reactor with H2-C Mixture Reduction
Authors: Zhang Bo , Zhang Huai Wei , Mao Jia Jun , Guo Jie , Liao Zeng Li , Li Qiu Ju , Hong Xin
Published: July 2011

The basic idea of H2-C mixture reduction reflexes using hydrogen as main reductor and carbon as main heat generator in iron bath smelt reduction reactors on purpose to cut down total energy consumption and CO2 emission. The author applied the methods of modeling for separating regions and [1]complex integration to research the kinetics behavior of the reactor. Changes of temperature and concentration field in each region were calculated after modeling from theories for solid-liquid, solid-gas and gas-liquid reactions combining theories of shrinking core, combustion and deoxidization etc. Besides some boundary- and initial conditions were got from inlet variables, other conditions included substance and energy exchanges on boundaries between different reaction regions were determined from the translation of all boundary coordination. After dispersion treatment with Control-Volume-Method, the whole model was programmed into special software for digital simulation. Corresponding author: HONG Xin, Shanghai University, Phone/Fax: 021-56331176, E-mail: xhong@online.sh.cn