bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Privacy Preserving Model for Datasets Re-Publication
Authors: Zhao Yan , Wang Jian , Zhu Qiu Sha , Le Jia Jin
Published: May 2010

Some medical records are often added and deleted in the practical applications. The leakage of privacy information caused by re-publishing datasets with multiple sensitive attributes becomes more likely than any other publication styles. In this paper, we first systematically characterize the inference attacks and set the hierarchy sensitive attribute rules. Then we propose a novel privacy preserving model based on k-anonymity for re-publication of multiple sensitive datasets and verify the novel approach that can eliminate inference channel and effectively protect privacy information in re-publication of datasets with multiple sensitive attributes by specific example. Finally, we present the anonymization algorithm to achieve privacy against inference attack.
Design on Environment Monitoring System for Greenhouse Based on Wireless Sensor Network
Authors: Li Guo Fang , Liu Sheng Tao , Chen Li Dong , Liu Yan , Bao Chang Chun , Wang Dong , Xue Jun Yu , Zhang Liang , Ma Shu Ying
Published: May 2010

The information monitoring points for greenhouse environment were scattered, so a wireless sensor network with star-type network topology was designed and the wireless monitoring system for greenhouse was developed. By employing CC2430 chip as the core hardware, WSN implemented real-time data acquisition and remote wireless transmission. The field data was transmitted to the monitoring host through RS-232 interface. The node management software was developed based C language and the data management software was developed using LabVIEW 8.6. The system was featured by low cost and simply installation. The primary experiments show that the system performance is stable and can meet the design requirement of remote data acquisition.
Study on System of Advanced Test for Risk of Safety Resources in High Dangerous Enterprises Based on Accounting Data
Authors: Li En Zhu , Liao Jia Ming , Wei Lian Bo
Published: May 2010

The necessity of establishing the risk test system, based on data of accounting, for safety resources invested in high dangerous enterprises is proposed systematically. The connotations and the features of the suggested risk test system of the safety resources are also demonstrated. This system can be used in all units with possible accidents in production and for estimating and reflecting the risks of the resources provided in preventing accidents in production. On the basis of the functions of this evaluation system, the main framework and the method of Data Envelopment Analysis for the risk test system is also established, which is accordant to actual data of accounting disclosed by high dangerous enterprises listed in stock market. The purpose of studying this system is to promote effective risk measurement and management of safety resources invested.
Design of a Grid-Connected Inverter for a Hybrid Renewable Power System
Authors: Han Jin Gang , Peng Dong Kai , Li Ji Fang , Tang Tian Hao
Published: May 2010

For the depletion of the limited traditional energy and the deterioration of the living environment, it is a focus of attention of the word for utilization of clean and renewable energy sources such as wind, solar and hydrogen Energy. In this paper, the design of a robust voltage source grid-connected converter is developed. And it is used in a hybrid renewable power system (HRPS). The power electronic system and the control system are introduced. Finally, some experimental results of the system are presented.
Design and Realization of Quality Control System for Individual Character Manufacturing
Authors: Shen Xiao Hong , Wang Gao Shan
Published: May 2010

With the progress of our society, the consumer needs present a trend of individuation. Hence the manufacturing modes of many products change to individual character manufacturing mode, in which the producer should acquire the customer needs exactly and timely and translate them to high quality products. In this process, quality control plays a key role. This paper develops a quality control system, in which a synthetic process quality judging method against individual manufacturing is adopted. The method makes up the blemish of traditional SPC method and can work well even when it lacks enough data. The practical application of the system has proved its effectiveness and practicability.
The Research of Security Network Group Key Management
Authors: Hu Ge , Wang Wei
Published: May 2010

To improve the security and applicable capability of the group key management in 802.16e standard, the traditional group key management mechanism is discussed and the current security owing to lack of considering comprehensive factors, some security solutions designed also bring some problems. To solve these issues, Current multi-hop Wimax group key management security solutions were described firstly, then One-way Function Tree group key management mechanism is analyzed; An efficient group key management scheme based on one-way function is proposed, which can be used in multi-hop Wimax network system to enhance the security of group management effectively. Analysis result shows that, compared with the methods of One-way Function Tree, he proposed scheme has better performance in key storage, key updating and key calculation cost, which provides an effective solution for group key management in Wimax network and has better application value.
The Application of Improved GM(1,1) in Power Load Forecasting
Authors: Fan Cheng Xiang , Shi Kai Quan , Li Ke Jun
Published: May 2010

The forecasting precision of GM(1,1) is very low, when the data sequence is not smooth. The logarithm smoothing is used for the original data sequence. Considering the low precision caused by overlarge and forecasting gray interval for gray modeling, A novel method is proposed for power load forecasting: weighted forecasting method of gray related degree with revised parameter and logarithm smoothing. The method can make various factors weaken or counteracted and prevent the forecasting data from too fast increasing. The proposed model is demonstrated by a test in a certain area. The result shows that the method is effective both in theory and in practice.
Application on Automatic Chemical Detection Technique Based on NN
Authors: Zhang Ming Hu , Wang Hui Chuan , Lv Shi Jun , Wang De Hu , Song Jian
Published: May 2010

Take example for the Neural Networks Distinguishing Chemical Agents (NNDCA) model, the study and application about the multi-sensors information fusion (MSIF) technology is researched, the model of Naval Ships Chemical Detection (NSCD) system based on multi-sensors fusion is built, the basic method of the NNDCA is analyzed, and the realization idea of the NNDCA model is put forward. For fastness and accuracy and automation, connecting the wavelet analysis with the neural networks organically, the model of the NNDCA by the returning neural networks with deviation unit and the method of the feature extraction for the chemical agents based on the wavelet analysis are established. After analyzing and discussing the results a conclusion is drawn that it is a kind of valid method to realize the automation and intelligence of distinguishing chemical agents using the neural networks combined with the multi-sensors.
Analysis and Research of Financial Network Security Architecture
Authors: Xu Hong Yun
Published: May 2010

With the rapid development of network technology, computer network applications in the financial system is becoming increasingly popular, the financial network security issues become increasingly prominent. This paper through the analysis of various risks faced by current financial networks, proposes the design principles of financial network security architecture and the design goals of financial network security architecture, finally gives the design patterns of financial network security architecture.
An Analysis System for Skype Network Traffic Based on Multiple-Layer Detection
Authors: Du Ye , Zhang Ru Hui , Liu Ji Qiang
Published: May 2010

Skype is a P2P overlay network for VoIP and other applications, which is widely used all over the world. Based on analysis of the operation mechanisms, the communication processes of Skype are discussed detailedly, and then a multiple-layer based system for Skype network traffic identification is designed. The System mainly consists of three entities, which include suspicious connection table, payload detection module and traffic detection module. The functional characteristics of all entities are introduced, and the attribute set for network behavior is depicted. Finally, experiment results show the usability of the system.
A Hybrid Approach for Accurate BT Traffic Identification
Authors: Zhang Ru Hui , Du Ye , Wang Xing , Yuan Zhong Lan
Published: May 2010

In this paper, a hybrid approach for identifying the traffic running over BitTorrent (BT) protocol is proposed. Besides the conventional port-based and signature-based methods, another two BT-oriented methods dealing with the peer-information and flow-information of BT traffic are also adopted. The peer-information method makes use of the unencrypted peer-transfer mechanism of BT protocol, and the flow-information method focuses on identifying the encrypted traffic, which evades the above three methods, with low false-positive ratio. The preliminary evaluation shows that our hybrid approach is effective and comprehensive for BT traffic identification.
SMEs, Borrowing Constrains and Financial Innovation In China
Authors: Zhang Qi
Published: May 2010

Three new cluster bonds have been isseued in China as the financial innovation to conquer the SME’s borrowing constrains. SMEs issued the cluster bonds as a group to the outside investors have gained great success. However the pricing mechanism of this new financial technology is still under the research. We made the logical pricing model of credit spread by a geometrical attenuation function reflecting the unexpected default of intensities. Then, we designed a pricing model of small-medium corporate cluster bonds with the spot interest rate assumed to follow Vasicek model. Finally, we tested the pricing model with one thousand times Monte Carlo methods and offered theoretical background and empirical evidence for financial innovation as well.
Dynamic Modeling of Intelligent Connector
Authors: Fan Rui , Liu Xiao Hui
Published: May 2010

To construct autonomous, dynamic evolvement software entity, and dynamically assemble them under the Internet environment for the complex software system, a novel intelligent software model is critical. Although there is significant literature on implementation of enterprise software systems, there are fewer contributions that give rigorous formal analyzing. In this paper, we present formal model of intelligent connector for constructing enterprise intelligent applications. As a core of the enterprise intelligence component, our model is presented at different levels of abstraction and formalism by π-calculus, and the characters of dynamic rebuilding, intelligent controlling business chains are formally analyzed. A case is given to illustrate its dynamic properties.
Study on Incentive Mechanism of MRCTM Closed-Loop Supply Chain Based on the Uncertainty Quality
Authors: Ling Huang
Published: May 2010

In this paper, the MRCTM model of closed-loop supply chain was investigated. An effective incentive mechanism that considered the uncertainty quality of product recycling was designed by the introduction of brand conversion factor. The author made an optimal analysis of the incentive mechanism. Moreover, the influence of different parameters, such as quality and brand to the fixed reward and the unit incentive payment was analyzed and some useful results were obtained.
Application of Improved Ant Colony Algorithm in QoS Routing Optimization
Authors: Liu Xiu Ju
Published: May 2010

QoS routing for the characteristics of the ant colony algorithm is improved. First of all defect from the ant colony algorithm and to increase Network Node bound, As well as to speed up global convergence analysis of the three areas of the ant colony algorithm to improve thinking; And by improving the ant colony algorithm in the QoS routing optimization application, the details of the ant colony algorithm to improve the design and implementation steps. Finally, simulation results show that: According to the algorithm for solving the problem and get the optimal solution of the ratio of full proof of improvement in the ant colony algorithm QoS routing optimization on the effectiveness and stability.
New Concurrent Fractionally-Spaced Blind Equalization
Authors: Rao Wei , Guo Ye Cai , Chen Min , Tan Wen Qun , Liu Jian Bing , Xia Fei , Fan Li , Xu Hui Jun
Published: May 2010

The paper proposes a concurrent constant modulus algorithm (CMA) and decision-directed (DD) scheme for fractionally-spaced blind equalization. The proposed algorithm makes full use of the advantages of CMA and DD algorithm. A novel rule to control the adjustment of DD’s tap weights vector is proposed which avoids the hard switch between CMA and DD in practice. Simulations with underwater acoustic channels are used to compare the proposed algorithm with the famous CMA. And the simulation results show that the proposed algorithm has faster convergence rate and lower steady state mean square error.
The Research of Educational Resources Sharing Model Based on Web Services
Authors: Quan Ou Yang , Xu Hong Yun
Published: May 2010

This paper describes the key Web Services technologies, combined with features of the education sector to construct a Web Services-based educational resource sharing application model. Moreover, analyze the principle and working process of this model, derive the functional design and structure, and discuss the implementation of the model pattern. It provides some theoretical basis for the further development of the educational resource-sharing platform based on Web Services framework.
A CSCW-Enabling Integrated Access Control Model and its Application
Authors: Zhang Zhi Yong , Huang Tao , Wu Qing Tao , Pu Jie Xin
Published: May 2010

Nowadays open and distributed Computer Supported Cooperative Work (CSCW) systems are faced with security challenges due to large numbers of cooperative users, and a mass of valued data resources need to be protected against unauthorized usage, disseminations and share. To this end, role-based collaboration framework and access control approaches have been a focus in recent years, but there lack of a holistic and comprehensive model and visual modeling. We proposed and formalized a CSCW-enabling access control model integrating generic centralized authorization and distributed authority delegation, called IACM (Integrated Access Control Model) for CSCW, based on the cooperative roles and their owned activities. And then, the visual modeling was represented with static and dynamic characteristics, with a goal to narrow the gap of the formalized model and application level. Finally, an application in the collaboration system for equipments manufacture designing was implemented to improve security of the role-based centralized authorization management by using the authorization constraint rules, and to enhance the collaborative capability based on the user-side delegation mechanism, effectively guaranteeing CSCW system security and authorization management efficiency.
Macrozooplankton Image Edge Detection Using Wavelet Packet Decomposition
Authors: Zhao Jing Ying , Guo Hai , Sun Xing Bin
Published: May 2010

Comparing with the phytoplankton, there are few researches on zooplanktons. Now, many waterworks don’t monitor the zooplanktons in source water. There isn’t effective detection method for several common macro zooplanktons such as chironomid larvae, cyclops and so on, and little has been done in the field of the macro zooplanktons automatic identification and monitor. This paper puts for forward a macrozooplankton edge detection method based on wavelet packet decomposition and reconstruction. We erase the high frequency parts by applying wavelet packet decomposition in the original images and then detect the edge of reconstruction images using the common edge detectors such as Prewitt, Sobel, Roberts, Laplacian of Gaussion, Canny and so on. The experimental results show that the edge detection methods in the reconstruction image work better than in the original image.
H∞ Control of Fuzzy Neutral Systems under Sampled-Data Control
Authors: Yang Jun , Luo Wen Pin , Li Gui Hua
Published: May 2010

This paper is concerned with the H∞ sampled-data control for a class of fuzzy neutral systems. Employing Lyapunov-Krasovskii functional, the input delay approach, the descriptor system method, Barbalat lemma and the LMI approach, a design method of sampled-data state feedback controller for the fuzzy neutral systems is proposed.
Optimization Model of Loan Portfolio Based on Mean Chance
Authors: Pan Dong Jing
Published: May 2010

This paper discusses the problem of loan portfolio in fuzzy random environment, in real life, because of the influence of random and fuzzy factors, the return rates of loan in bank often have fuzzy random characteristic. Mean chance is a measure of fuzzy random variable, based on mean chance, a new optimization model of loan portfolio is provided. To give a general solution to the new model, a hybrid intelligent algorithm is designed. The algorithm integrates fuzzy random simulation, neural network and genetic algorithm. Neural network is employed to calculate the expected value and the mean chance value, it greatly reduce the computational work. At last, a numerical example is presented to illustrate the new model and the proposed new algorithm.
A Novel Efficient Mining Association Rules Algorithm for Distributed Databases
Authors: Shen Liang Zhong
Published: May 2010

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate professionals, association rule mining is receiving increasing attention. The technology of data mining is applied in analyzing data in databases. This paper puts forward a new method which is suit to design the distributed databases.
Research on Production Scheduling Problems in Process Industry Based on Ant Colony System
Authors: Zhang Lie Ping , Zhang Yun Sheng
Published: May 2010

In order to improve the production of process industry, the ant colony system(ACS) was applied to the production scheduling problem. Based on the analysis of the production scheduling problem for process industry, a production scheduling model was established, whose goal was to obtain the shortest total process time. The search strategy, heuristic information rules, pheromone updating mechanism, process step starting time and detailed algorithm implementation of ACS were discussed. Using a practical production scheduling problem as an example, the established model and designed algorithm were applied to implement the scheduling simulation. The simulation results show that the scheduling model and algorithm are feasible, and have a better scheduling performance than the stochastic scheduling method, and can be applied to solve practical production scheduling problem for process industry.
A Hierarchical Multicast Scheme for Heterogeneous Receivers
Authors: Si Jing Jing
Published: May 2010

We investigate inter-session network coding for networks with heterogeneous receivers in this paper. Based on layered source coding, we define the hierarchical inter-layer random network codes, and propose a hierarchical multicast scheme. Moreover, we compare our hierarchical multicast scheme with the layered multicast schemes in theory and with simulations. Simulation results show that our hierarchical multicast scheme can achieve the optimal aggregate throughput for some networks where the layered multicast schemes are suboptimal.
The Study of Hybrid Gaussian CBR Technique and Using in Camshaft Design System
Authors: Yan Wei , Li Xue Qing , Tan Xu Guang , Tong De Hui , Gao Qi
Published: May 2010

In this paper, we propose a hybrid decision model using case-based reasoning augmented the Gaussian and k nearest neighbor methods for aided design camshaft in engine. The hybrid Gaussian k-NN (HGKNN) CBR scheme is designed to compute memberships between cam profile and engine parameters, which provides a more flexible and practical mechanism for reusing the decision knowledge. These methods were implemented in the database application and expert system following the examples of Cam Profile. To get the designed case, the retrieved results were compared and analyzed by HGKNN and k-NN algorithm in the CBR database. It proves the validity of HGKNN and CBR design system is used successfully in engine design process.
MES System Selection Decision-Making Approach for Automobile Parts Manufacturing Enterprises
Authors: Wang Qi Feng , Hong Chun Yan
Published: May 2010

The implementation and application of manufacturing execution system (MES) is an important way to improve the management level and realize information management for automobile parts manufacturing enterprises. System selection is the basis and prerequisite for MES implementation. Analytic hierarchy process (AHP) is applied in MES system selection in this paper based on the analysis of the MES system selection decision-making problem for automobile parts manufacturing enterprises. Firstly, the MES system selection decision indicators are established from the aspects of system technology performance, system suitability, quality of services and input-output of the MES system. On the basis, three solutions for MES system is analyzed and evaluated by AHP approach. The study of this paper provided a feasible solution for MES system selection decision-making.
Fast Parameterized Modeling for 3D Animation Role
Authors: Liu Yang
Published: May 2010

A method for parameterized modeling for 3D animation role was proposed. Feature parameters are determined according to anthropometrical approach and theory. Combined axial deformation technique in computer graphics, modeling system that is realized in this study provides very intuitive input interface. Additionally, this method also has the advantage of simple operation and quick modeling.
A Way of Stepped Frequency Velocity Compensation
Authors: Wang Wei Guo , Qiao Xiao Lin , Zhao Yi Nan
Published: May 2010

This paper introduces the advantage and disadvantage of traditional motion compensation way in the stepped-frequency Pulses radar, and analyzes the motion influence on the one-dimension range profile. On the premise of understanding the current speed compensation algorithm, this paper offers an improved method, which is the new two-step approach. This method reduces the operation and enhances the Real-time performance of system. The characteristic of this method is that proposes the concept of the minimum pulse group self adaptive speed researching range. Even though, we don’t have the premise of speed prior knowledge, it also has a well applying prospect and universality. Comparing to the algorithm previously advanced, it has more extensive applications and practicability.
Statistical Inferences of Lift-Off Velocity Distribution Function Form for Saltating Particles
Authors: Wu Jian Jun , He Li Hong
Published: May 2010

The lift-off velocity distribution of saltating particles, which have been proposed to characterize the dislodgement state of saltating particles, is one of the key issues in the theoretical study of windblown sand transportation. But there were various statistical relations in the early researches. In this paper, the Kolmogorov-Smirnov test for goodness-of-fit is adopted to make an inference of the most probable form of lift-off velocity distribution functions for saltating particles on the basis of the experimental data. The statistical results show that the distribution function of vertical lift-off velocities conforms better to Weibull distribution function than to the normal, log-normal, gamma and exponential ones; while, the distribution function of the absolute values of horizontal lift-off velocities is best described by log-normal distribution in forward direction and Weibull distribution in backward direction, respectively. Finally, two more examples prove to support the above conclusions.
An Efficient Web Image Annotation Ranking Algorithm
Authors: Liu Zheng
Published: May 2010

Existing image annotation approaches mainly concentrate on achieving annotation results. Annotation order has not been taken into account carefully. As orderly annotation list could enhance the performance of image retrieval system, it is of great importance to rank annotations. This paper presents an algorithm to rank Web image annotating results. For an annotated Web image, we firstly partition the image by a region growing method. Secondly, relevance degree between two annotations is estimated through considering both semantic similarity and image content. Next, the regions of unlabeled image to be ranked serve as queries and annotations are used as the data points to be ranked. And then, manifold-ranking algorithm is executed to get the ordered annotation list. Experiments conducted on real-world Web images through NDCG metric demonstrate the effectiveness of the proposed approach.
Study on the Model Construction of Regional Water Resources Digital Management System
Authors: Qiao Ju Ling , Liu Fang , Miao Wang
Published: May 2010

With the development of technology, water resources management has entered a phase of the digital management. Therefore, accelerating the digital construction of water resources management has become a new topic. This study analyzes the importance and necessity of regional water resources digital management in terms of the ideas and means in digital management. Combined with the reality of regional water resources management, the study discusses the information collection, processing and transmission network of regional water resources, the database system of water resource management, integrated business management system and the digital water management support system. It also gives the primary system framework for regional water resources digital management. The study is helpful for a reasonable use of digital means to optimize the allocation of water resources to deal with serious water shortage in the northern region.
The Development of a Computerized Ecology Observation Competence Assessment
Authors: Hung Pi Hsia , Hwang Gwo Jen , Lin I Hua , Hung Xiao Ting , Wu Tsung Husn
Published: May 2010

The purpose of this study is to develop a Computerized Ecology Observation Competence Assessment (CEOCA) to investigate the characteristics of students’ observation competence. The authors assume that the students’ observation competence can be enriched by meaningful experiences and the performance is situated in specific content or context. The facets included in CEOCA are knowledge, observation (on multi-media), concept mapping of wetland ecology. A total of 454 6th, and 7th graders were sampled in this study. The average difficulty (p value) is .62 for the sample. The correlation coefficients between CEOCA and related variables such as school math or science score are around .46 to .54. The pattern of correlation coefficients demonstrates sensible supporting evidences for the convergent and discriminant validity. The implications for further researches are also discussed.
‘Super Fuzzy’ Feature Model for Defects Detection of Fabric Materials
Authors: Liu Zhe
Published: May 2010

Aiming at many problems of existing feature model of fabric defects detection, such as large calculation, not exact expression and not extensive defects categories, a new ‘super fuzzy’ feature is proposed in this paper. This new method can solve above problems. Firstly, a general model of ‘super fuzzy’ is given. Some cent-characteristics denoted different kinds of defects are combined according to weight factor, and each cent-characteristic is guaranteed in a same quantity grade by modified constant vector. Then, a concrete ‘super fuzzy’ feature model combined by four cent-characteristics for fabric materials is obtained, and this model is optimized. Finally, after some programs experiments, concrete effect of fabric materials defects denoted by ‘super fuzzy’ feature is validated. Results show that ‘super fuzzy’ algorithm is effective for fabrics defects detection with different texture considering fabric characteristics, and defects feature of many fabrics is expressed quickly and exactly with no pre-supervised learning.
An New Accounting and Billing System for HPC Cluster
Authors: Adu Jian Hua
Published: May 2010

This paper discussed accounting and billing system for HPC Cluster. This accounting and billing system mainly addresses to resolve the problem of accounting and billing of resources usage and provides good quality of services for users. This paper will introduce the basic implementing mechanism, collecting process of resources usage information, resource price policy and etc. The algorithm which gets cost by resources object with dynamic price is proposed. It suits the characteristics of HPC Cluster and can reduce the load of the center server and reflect the usage of resource.
Fuzzy Comprehensive Evaluation Method for Workability of SCC
Authors: Jiang Ya Qing , Tian Na Na , Zhang Si Jia
Published: May 2010

Self-compacting concrete (SCC) has been widely used in engineering for improving the product quality and efficiency at the construction sites, enhancing the working conditions and the appearance of concrete. Workability is an important property of SCC. But none of a single method has been developed for evaluation workability of SCC efficiently. Aiming at the quality control of fresh SCC, a fuzzy comprehensive evaluation method for evaluating workability of SCC was put forward and a case study was done by measuring slump, slump flow, L-box ratio, J-ring flow, bleeding and sieve segregation of fresh SCC in the present paper. Evaluation results indicated that fuzzy comprehensive evaluation method can give a quantitative evaluation of workability of SCC and it is convenient to establish an expert system for controlling the quality of fresh SCC by using fuzzy comprehensive evaluation method.
Model Simplification of Linear Discrete Systems Using Differential Evolution
Authors: Wang Xiao Dong , Wang Ke , Wang Jin Shan , Jiang Min Lan , Xu Xiu Ling , Feng Gen Liang , Ye Mei Ying
Published: May 2010

A model simplification method for linear discrete systems is presented to determine both numerator and denominator coefficients of a simplified model by differential evolution algorithm in order to minimize the root mean squared error between the step responses of original and simplified models. The performance of the proposed method was demonstrated by two examples with different orders and the results show that the method can yield a good approximation of the original system.
Improvement on Real-Time Capability of Heartbeat Mechanism
Authors: Wang Zhan Jie , Chen Wen , Wang Hai Long
Published: May 2010

Heartbeat mechanism is the key technology of fault detection in cluster system, and the performance of heartbeat detection restricts the efficiency of high-availability clusters. Heartbeat packets will be delayed or even lost in the case of system or network overload, leading to the lack of real-time detection, the increased misjudgment rate, and reducing the reliability of the system. Aiming at the issue, this paper presented a new real-time heartbeat mechanism. By controlling the time of sending heartbeat packets, real-time Ethernet TTEP avoids the network delay and collision, which will speed up the detection of node failure, thereby increase the availability and stability of cluster system.
Land Surface Temperature Measurement Based on Grid Service & Remote Sensing Data
Authors: Zhan Shao Bin , Liang Yong Sheng , Huo Hong Ying , Gao Yue Fang
Published: May 2010

Land surface temperature (LST) is a key parameter of surface physical process and plays an important significance to the energy balance in the world. In this paper, based on the knowledge of atmospheric radiative transfer and the comparability of two satellites, 7 undetermined variables was solved. Then, eliminate the atmospheric effects on the remote sensing images by atmospheric correction model. The retrieval of atmospheric elements and the surface parameters, will also be presented. It’s a effective way to measure the LST. Following the disposal information and plentiful data increasing, the powerful computing resource was required. The computing capability in single computer fall short of demand. So the grid computing conception is introduced. We build a LST measurement system by grid service, it can solve the problem commendably.
A Network Security Risk Assessment Method Based on Immunity Algorithm
Authors: Yuan Hao
Published: May 2010

Based on the research of domestic and foreign vulnerability assessment systems, in this paper, we propose an improved network security assessment method based on Immunity algorithm. It integrates the advantages of both host based and network based scan system. Our goal is to explore the known security vulnerabilities, and to check hosts’ security effectively as well. It has the features of self-adaptive, distributed, and real time. Therefore, it provides a good solution to risk assessment for network security.
Distributed Workflow Execution Optimization of SBA Based on Service-Oriented Architecture
Authors: Du Xiao Ping , Song Jian Jun , Zhao Yang Sheng
Published: May 2010

According to the characteristics of the information resources in modern acquisition, such as heterogeneous, distributed, loosely coupled, the problems and deficiencies of workflow technology and products were analyzed. Dynamic service grouping strategies based on SOA was proposed and was proved in theory. In addition, the workflow architecture based on SOA was built and the workflow engine of simulation-based acquisition (SBA) was designed. Therefore, the legacy code can be wrapped and the service can be grouped dynamically from the dynamic generic service factory. Grouping strategy was proved according to the SPOT satellite image application which was part of the SBA toolbox on grid. Experimental results show that: services grouping of a workflow can reduce the total overhead induced by the submission, scheduling, queuing and data transfer time. On a production grid infrastructure, the optimization proposed introduces a significant speed-up when compared to a traditional execution. The range is from 1.21 to 2.97.
A Distributed Multi-Agent Architecture for Collaborative Product Design
Authors: Rong Zhi Jun , Wang Zhao Guo , Chen Kui Sheng
Published: May 2010

Collaborative product design is a complex and time-consuming process whereby geographically distributed designers from different disciplines cooperate and collaborate. Well-studied collaborative product design system reduces development time and creates better products. This paper discusses the characteristics of collaborative product design based on multi-agent technology to minimize the development time, cost and risk. In particular, the proposed agents can provide the interaction spaces for coordinating the individual design activities. Furthermore, the mechanism of intercommunications between agents is discussed. This research work constitutes initial effort towards optimization of process of collaborative product design. Future effort will focus on the software implementation of the theory presented in this paper.
A Design Strategy for Product Development Using Anthropometry
Authors: Li Ye Fei , Li Fang Yu , Hui Jiang , Huang Fang
Published: May 2010

To achieve success in the marketplace, human factors play an important role in product development. In this paper a design strategy considering anthropometric variability for different demographic data was put forward. With the aid of parametric technology of Computed Aided Design (CAD), concept model of products was initialized. Detailed parameters of products were configured according to the anthropometric information based on measurement of customers’. Multiple linear regression were used to model the relation between the product comfort and design variables, thus the sizes of products could adapt to specific customers of certain age, height and gender. A children’s scooter was demonstrated as a case to validate this strategy. A three dimension parametric model of a scooter was built first, the parameters concerned with human factors were determined according to the knowledge of anthropometry.
Digital Image Stereo-Correlation Applied to the Identification of Elastomers
Authors: Fazzini Marina , Mistou Sébastien , Karama Moussa , Desmars B.
Published: May 2010

As a complement to classic characterization in the identification of elastomers, full-field measurement methods such as image stereo correlation can undeniably contribute to the validation of elastomeric connection behaviour. Indeed, these measurements enable three-dimensional displacement and strains fields over the totality of the studied surface to be finely reached. Characterization tests in shearing on an elastomer were followed by image stereocorrelation up to high strain levels. The experimental results could thus be confronted with theoretical results using an Alexander hyperelastic behaviour law, which enabled the relevance of this law to be validated locally.
Stability Prediction in Turning of Flexible Components
Authors: Urbicain Gorka , Olvera David , López de Lacalle Luis Norberto , Campa Francisco Javier
Published: May 2010

Chatter is the most classical problem in machining. It is prone to occur in low rigidity structures generating poor surface quality and harmful vibrations which could damage any part of the machine-tool system. In finishing operations, the effect of the tool nose radius should be taken into account in order to obtain safe and reliable cutting conditions. The present paper uses a simple SDOF model to study the stability during finishing operations.
Dispersion Improvement of Carbon Nanotubes in Epoxy Resin Using Amphiphilic Block Copolymers
Authors: Courbaron Gilbert Anne-Claude , El Bounia Nour-Eddine , Péré Eve , Billon Laurent , Derail Christophe
Published: May 2010

Interface between Carbon NanoTubes (CNT) and epoxy matrix is admitted to play an important role in the dispersion quality and in the mechanical stress transfer. To improve the interfacial adhesion, we propose to chemically graft molecules onto CNT surface. To achieve this chemical modification, a controlled radical polymerization, named Nitroxide Mediated Polymerization NMP, is used to synthesize a diblock copolymer based on Acrylic Acid (PAA block) and Methyl MethAcrylate (PMMA block). In the present paper, this polymerization is performed “in situ”. The PAA block presents a good affinity with the CNT which enable grafting. The PMMA miscibility with epoxy is expected to give a good adhesion - between the CNT and the matrix - and to bring a better dispersion. In order to compare the chemical modification and the physical adsorption of the copolymers onto CNT dispersion, the same block copolymer was synthesized with and without CNT. The copolymer synthesis was controlled and characterized by different methods as NMR 1H (conversion and composition), SEC (molecular weight) and TGA (grafting density). We show that the better dispersion quality and better physical properties have been obtained with grafted CNT.
TEM and Electron Tomography Imaging of Pt Particles Dispersed on Carbon Nanospheres
Authors: Yoshizawa Noriko , Soneda Yasushi , Hatori Hiroaki , Ue Hitoshi , Abe Takeshi
Published: May 2010

Three-dimensional (3D) observation of Pt nanoparticles on the surface of carbon nanoparticles, one of the important catalyst systems for energy storage such as fuel cells, was carried out by using an electron tomography system attached to a transmission electron microscope (TEM). In the Pt/carbon sample preparation process, pristine and graphitized carbon nanospheres (CNSs, 200 nm average diameter) were immersed into H2PtCl6 solution, followed by a heat-treatment at 493 K. According to the electron tomography technique, we confirmed that crystalline Pt particles (2-3 nm) were homogeneously dispersed on the whole surface of pristine CNSs, while on the graphitized CNSs Pt was aggregated on the ridgeline of the polyhedronized CNS particles or on the connecting surface between two CNS particles. Dependence of Pt dispersion as shown was discussed with the distribution of surface defects of CNS particles.
Synthesis and Characterization of TiO2 Nanoparticles via Chemical Bath Deposition (CBD) Method
Authors: Shokuhfar Ali , Hassanjani-Roshan Amir , Vaezi Mohammad Reza , Kazemzadeh S.M. , Esmaielzadeh Kandjani A. , Nasiri-Tabrizi Bahman
Published: May 2010

Nowadays, different production methods of nanoparticles have been developed. Among novel wet-chemical processes, the Chemical Bath Deposition (CBD) method is used to synthesize nanoparticles more easily than the other method. In this investigation, titanium dioxide (TiO2) nanoparticles were synthesized by the Chemical Bath Deposition (CBD) method. Tetraisopropyl titanate (C12H28O4Ti), sodium hydroxide (NaOH) and ethanol were used as initial materials. Appropriate solvents were used for preparation of samples. CBD process was carried out at 50°C for 90 min and the obtained materials washed and then dried at room temperature for 48 hrs. For determining particle size and evaluation of morphological characteristics, X-ray diffraction (XRD) and transmission electron microscopy (TEM) were used. The TEM observation indicated that the average particles size of powder is about 10-30 nm and the shape of product is semi-spherical shape. The final results present that the CBD method is more suitable than the other process because of it showing a low processing cost and fine powders.
Preparation of Nano Structured SiOC Thin Film for Low k Application
Authors: Kwon Woo Teck , Lee J.H. , Kim Soo Ryong , Kim H.T. , Kim Hyung Sun , Yu Y.H. , Kim Y.
Published: May 2010

In our study, the dielectric properties of SiOC low k thin film derived from polyphenylcarbosilane were investigated as a potential interlayer dielectrics for Cu interconnect technology. A SiOC low k thin film was fabricated onto a n-type silicon wafer by dip coating using 30wt % polyphenylcarbosilane in cyclohexane. Curing of the film was performed in air at 300°C for 2h. The thickness of the film ranges from 1 μm to 1.7 μm. The dielectric constant was determined from the capacitance data obtained from metal/polyphenylcarbosilane/conductive Si MIM capacitors and shows a dielectric constant as low as 3.26 without porosity added. The SiOC low k thin film derived from polyphenylcarbosilane shows promising application as an interlayer dielectrics for Cu interconnect technology.
New Method for Low-Cost Titanium Production
Authors: Martinez Ana Maria , Osen Karin Sende , Skybakmoen Egil , Kjos Ole Sigmund , Haarberg Geir Martin , Dring Kevin
Published: May 2010

The present work deals with the investigation of an electrolytic method for titanium production that uses TiO2 enriched titania slag as raw material. The process involves two steps: i) carbothermal reduction of the slag to form titanium oxycarbide powder; and ii) electrolysis in a molten chloride-based electrolyte using a titanium oxycarbide consumable anode.
Electrochemical studies show the stability of the different Ti species in the equimolar NaCl-KCl melt at 850oC. These results, together with previous work about the anodic oxidation mechanism of a consumable titanium oxycarbide anode in molten chlorides, allow us to optimize the anode and cathode voltages in the electrolysis experiments.
The results show that best quality titanium deposits are obtained when the reduction occurs in a single electrochemical step, i.e. directly from di-valent titanium species to Ti metal. Then, the complete conversion of the Ti(III) ions released from the consumable oxycarbide anode to Ti(II) species by adding Ti sponge to the electrolyte, must be fulfilled.
The FFC Cambridge Process for Production of Low Cost Titanium and Titanium Powders
Authors: Bertolini Mark , Shaw Lee , England Lucy , Rao Kartik , Deane James , Collins James
Published: May 2010

The current status and recent advancements in the use of the FFC Cambridge process for the production of low cost titanium and titanium powders is presented. This will include an overview of the process, current and future process equipment and recent results in terms of chemistry, structure and properties of powder and consolidated product. The future direction and activities for the FFC Cambridge process will also be briefly discussed.
High Temperature Electrolysis of Ti and its Alloys with a DC-ESR Unit
Authors: Takenaka Toshihide , Matsuo Hidetaka , Sugawara Mitsuru , Kawakami Masahiro
Published: May 2010

Direct electrolysis of Ti and its alloys has been attempted by the process using a DC-ESR unit. The concept of the process is explained in detail, and the expected key issues are commented. Liquid Ti metal was obtained in a CaF2-CaO-TiO2 bath, and electrolysis by using a new type of the electrolytic cell was also tried. Ti-Al alloy was successfully deposited in a CaF2-CaO-TiO2-Al2O3 bath, whereas Ti-Si alloy was not obtained in a CaF2-CaO-TiO2-SiO2 bath yet. Ti-Fe alloy was extracted in CaF2-CaO-TiO2-FeO bath of a particular composition. A common correlation between the cathodic current efficiency and the average consumed electric power seen in the Ti, Ti-Al and Ti-Fe electrolysis suggested the importance of sufficient temperature in the process. The bath composition also affected the temperature through the change in the electric conductivity of the bath.
9 kV, 1 cm2 SiC Gate Turn-Off Thyristors
Authors: Agarwal Anant K. , Zhang Qing Chun Jon , Callanan Robert , Capell Craig , Burk Albert A. , O'Loughlin Michael  J. , Palmour John W. , Temple Victor , Stahlbush Robert E. , Caldwell Joshua D. , O'Brian Heather , Scozzie Charles
Published: May 2010

In this paper, for the first time, we report a large area (1 cm2) SiC GTO with 9 kV blocking voltage fabricated on 100-mm 4H-SiC substrates with much reduced Basal Plane Dislocation (BPD) density. The static and dynamic characteristics are described. A forward drop of 3.7 V at 100 A (100 A/cm2) is measured at 25°C. A slight positive temperature coefficient of the forward drop is present at 300 A/cm2, indicating the possibility of paralleling multiple devices for higher current capability. The device exhibits extremely low leakage currents at high temperatures. The device has shown fast turn-on time of 53.9 nsec, and ~3.5 s of turn-off time, respectively. A stable forward voltage drop after electrical stress for >1000 hours has been achieved.
A Step Toward High Temperature Intelligent Power Modules Using 1.5kV SiC-BJT
Authors: Tournier Dominique , Bevilacqua Pascal , Brosselard Pierre , Planson Dominique
Published: May 2010

Looking back to the development of inverters using SiC switches, it appears that SiC devices
do not behave like their silicon counterparts. Their ability to operate at high temperature makes
them attractive. Developing drivers suitable for 200 °C operation is not straightforward. In a perspective
of high integration and large power density, it is wise to consider a monolithic integration of the
driver parts for the sake of reliability. Silicon is not suitable for high ambient temperature; silicon-oninsulator
offers better performances and presents industrial perspectives.
The paper focuses on a SiC BJT driver: it processes logical orders from outside, drives adequately
the BJT to turn it either on or off, monitors the turn-off and turn-on state of the device, and acts accordingly
to prevent failure. SiC BJT imposes specific performances different from the well known
ones of SiC JFET or MOSFET. The paper addresses a preliminary analysis of a SOI driver, anticipating
the behavior of SiC-BJT and the change in behavior at high temperature. A discret driver has
been designed and fabricated. Elementary functional blocks have been validated, and a BJT converter
successfully operated at high temperature with high efficiency ( = 88%).