bluuebunny/crossref_metadata_2025 huggingface dataset:
Les transformations contemporaines de l'économie des montagnes de Crimée et du Caucase oriental. Comparaison avec les Alpes du Sud
Authors: Durbiano Claudine , Radvanyi Jean , Kibaltchitch D.
Published: June 2011

Les différences profondes entre chacune de ces montagnes tiennent à leur évolution historique propre. La montagne de Crimée est actuellement vide d'hommes consécutivement aux événements liés à la deuxième guerre mondiale. Aujourd'hui, elle joue essentiellement un rôle de réserve naturelle. Seuls les piémonts sont intensivement mis en valeur. En revanche, le Caucase oriental est une montagne très humanisée à économie pastorale. La mise en valeur récente des piémonts et de la plaine tend de plus en plus à transformer la montagne en annexe de la plaine. Tant dans le Caucase oriental que dans les Alpes du Sud, on assiste à un processus d'extensi- fîcation de l'utilisation du sol en même temps qu'à une intensification sur des espaces très restreints de fonds de vallées irrigués. L'économie du Caucase oriental est encore, pour une très large part, agro-pastorale et en marge du développement tandis que celle des Alpes du Sud est intégrée à l'ensemble national et combine des activités diverses parfois conflictuelles (agriculture et tourisme, tourisme et protection de la nature...).
Aspects des systèmes touristiques et récréatifs du littoral soviétique de la mer Noire et de la mer Caspienne. Étude comparative avec le littoral méditerranéen français
Authors: Durbiano Claudine , Radvanyi Jean
Published: June 2011

Aspects of the touristic and leisure systems of the Soviet littoral along the Black Sea and the Caspian Sea. While the tourism along the Caspian Sea is still to be developed, the Black Sea littoral is already in full bloom. The «organized» tourism only regards seaside resorts which play the part of both holiday villages and rest-houses (sanatoria). But most part of the holiday resorts is due to «unorganized» people which causes many problems to arise on regard to their servicing.

The two regions are separated by four main differences on the landscape point of view, the difference with the french mediterranean littoral being considerable. The generalization of collective housing as well as the importance of green areas consequently limit the built area. There are hardly any nautical resorts to be seen. The servicing of touristic areas is made by rail and plane, the car playing a very feeble part in it. Lastly, the spreading of touristic areas inland is so limited in U.S.S.R. thai it causes the littoral to be overcrowded. The realization of a better development is thus linked to the exploiting of the still unexploited areas along the Crimean and Caspian littoral.
THE NATURE OF SOCIALLY RESPONSIBLE COMMUNICATION IN INDIAN COMPANIES
Authors: Pradhan Sudeepta , Roy Subhadip
Published: June 2011

Firms today try to act beyond their normal course of business towards the society. No longer is the society just a means of earning profit. Socially responsible firms believe that business and society are interwoven rather than being distinct. Such firms try to act in an ethical and responsible manner towards the society. They have a philanthropic approach towards society and communicate it to the society through advertisements. This study aims at analysing such socially responsible ads. More specifically, the study objectives were to identify the themes of socially responsible communication (SRC) promoted by India firms. To achieve the study objectives 68 print advertisements with SRC were content analysed to determine the focus of such communication. The results suggested that most advertisements were serving a multi-fold purpose. They created awareness for the product as well as for social issues which were largely neglected by the society. The study revealed that SRC advertisements could be classified into five categories i.e. Public Awareness, Environment, Child welfare, Health & Safety and Women Upliftment & Security. The overall results suggested that contemporary marketing communication were having a responsible outlook in order to make the society a better place to live in.
Delivery with Polycations Extends the Immunostimulant Ribomunyl® into a Potent Antiviral Toll-Like Receptor 7/8 Agonist
Authors: Herberhold Stephan , Coch Christoph , Zillinger Thomas , Hommertgen Benjamin , Busch Nicolas , Schuberth Christine , Hartmann Evelyn , Wimmenauer Vera , Hagmann Cristina Amparo , Lüdenbach Bastian , Schlee Martin , Bootz Friedrich , Hartmann Gunther , Barchet Winfried
Published: June 2011

Background

Upper respiratory tract infection is a frequent cause of morbidity worldwide. Although the course of infection is usually mild, it is responsible for enormous social and economic costs. Immunostimulation with bacterial extracts consisting of ribosomal RNA and proteoglycans, such as Ribomunyl®, was introduced into the clinic in the 1980s as a new treatment concept, but did not achieve widespread application. Ribomunyl® has been proposed to activate innate immunity, but the contribution of its RNA content as well as its antiviral potential has not been studied.

Methods

Peripheral blood mononuclear cells from healthy donors and immune cells from adenoids were incubated with Ribomunyl® either by itself or formulated in a complex with cationic polypeptides such as poly-l-arginine or protamine, and induction of cytokines was quantified by ELISA.

Results

Ribomunyl® in complex with either poly-l-arginine or protamine, but not on its own, was able to strongly induce interferon-α ( P<0.01) and interleukin-12 ( P<0.01) in peripheral blood mononuclear cells, whereas induced tumour necrosis factor-α and interleukin-6 levels were independent of the formulation. Comparable results were obtained in immune cells from adenoids, suggesting efficacy also in virus-affected tissue. Cell sorting, RNase digests and selective receptor expression show that the RNA in Ribomunyl® acts as an agonist of Toll-like receptor (TLR)7 and TLR8.

Conclusions

Ribomunyl® is, in principle, able to potently induce antiviral interferon-α and interleukin-12 via TLR7 and TLR8, respectively, but only when formulated in a complex with cationic polypeptides.
Liens d'emprise dans la formation
Authors: Vallet Patricia
Published: June 2011

Cet article se propose d’étudier, à partir du concept d’emprise chez Freud, puis de la notion de « désir d’emprise » de R. Dorey, les liens d’emprise dans les formations en travail social. Sur la base d’entretiens et d’observations auprès de formateurs en situation, diverses manifestations de l’emprise sont repérées dans le discours des formateurs : l’emprise de type obsessionnel peut prendre la forme d’un abus de savoir, de méthodes, de techniques, ou bien se repère à l’envers des discours compassionnels ; sur un versant plus pervers, l’emprise par la séduction entretient la confusion, cherche la fusion, et se repère sous les discours démagogiques. Mais les sujets en formation résistent à l’emprise : par la fuite, l’absentéisme, le refus d’apprendre ou le rejet de l’implication subjective. Passer de l’emprise à la maîtrise relative de ces enjeux suppose un travail de déprise et de désidéalisation, notamment au sein des instances d’analyses de pratiques. C’est une éthique de l’inespoir qui est proposée ici.
Research and Hardware Design of Scalable Dual-Field Montgomery Modular Inversion Algorithm
Authors: Chen Lin , Sun Wan Zhong , Chen Xing Yuan , Zhou Chao
Published: June 2011

The modular inversion is an essential and the most time consuming arithmetic operation in Elliptic Curve Cryptography (ECC). This paper presents an improved scalable dual-field Montgomery modular inversion algorithm which is based on Kaliski algorithm. It can support the prime number modular inversion algorithm and binary modular inversion algorithm. According to the algorithm, the hardware architecture is designed. The result of experimentation shows that the hardware design is superior to other hardware designs in operation time, circuit area and flexibility.
Study on Holes Machining Path Planning Based on Ant Colony Optimization
Authors: Zeng Fu Hong , Zhou Lan Hua
Published: June 2011

In order to get a feasible better machining path for holes machining, which could be used to the NC (Numerical Control) programming, the algorithm for Holes Machining Path Planning (HMPP) based on Ant colony optimization (ACO) were designed. The value of the algorithm parameters were determined by computer simulation experiment. The Roulette Wheel Approach (RWA) was used by each ant to select the next milling point, and only global pheromone updating was adopted. Finally, an example was given, and the approach was proved to be efficient and practical.
Vibroacoustic Optimization of a Shell Structure Based on the Dynamics Analysis
Authors: Li Hai Hong , Chen Yong Hui , Guo Shan Guo
Published: June 2011

Taken the computer case as an example, dynamics modeling and analysis of a thin shell structure is presented in this paper. Optimization is implemented with the goal to reduce the vibration. Four proposals of optimal design are simulated employing the FEM software. Those proposals differ in material, shape, pattern and connectivity. Some especial techniques are used to build the three-dimensional model and to finish the FEM analysis. The dynamics characteristics of the computer case are then investigated in modal analysis based on the dynamics theory. The result is acquired by comparing the modal parameters of those in different proposals. A preferable model takes also the manufacturing and cost into account. The skeleton is universal to dynamics analysis and design of other thin shell structure.
Research and Implementation of ABS Virtual Simulation Platform
Authors: Zheng Tai Xiong , Jia Yu Mei , Li Qian Min , Zhao Ya Ge
Published: June 2011

A visualization car ABS simulation platform is presented with aid of the advanced computer technology. Based on the overall framework design of ABS virtual simulation platform, the implementation of ABS simulators and upper interface are analyzed in order to make the upper interface get the real-time wheel and speed signal and draw the ABS braking process animation. The simulation platform is applied to analyze the simulation animation process with or without ABS and promising results are omitted .It is proved that the simulation platform can intuitively see if the car is locked or deflected and reduce the ABS developing cycle greatly.
Genetic Algorithm for Parallel-Machine Batching and Scheduling to Minimize Total Weighted Tardiness
Authors: Chou Fuh Der , Wang Hui Mei
Published: June 2011

This paper considers parallel batch-processing machine problems with compatible job family, dynamic job arrivals, and non-identical job sizes to minimize total weighted tardiness. Given that the problem of interest is non-deterministic polynomial-time (NP) hard , we propose a hybrid genetic algorithm (HGA) that incorporates batching decision and batch scheduling. Moreover, HGA is compared with simulated annealing (SA) algorithms to assess the performance of the proposed algorithm. Computational results revealed that the proposed HGA outperformed in terms of the number of best solution found, and HGA is slightly better when comparing the average TWT value.
Modeling of Web Service-Based Government Decision-Making Support and Collaboration Application Platform - A Case Study of Major Function Oriented Zoning Decision Support
Authors: Dong Wen , Zhang Xin , Chen Hua Bin
Published: June 2011

Government decision-making is a complex and comprehensive problem. It needs to make judgments and develop policies combining with professional advices and supports on the base of the comprehensive analysis of all aspects of the data, the integrated consideration of existing conditions and development prospects and other factors. Therefore, the construction of government decision-making information system should be taken the solving of the information sharing and the collaboration between departments as the main target. However, the existing government decision-support information systems are mostly focused on auxiliary analysis of information, and information sharing and collaboration between different departments are still lacking. This paper proposes to build a government decision-making support and collaboration applications platform for network-based data sharing and multi-sectoral collaboration on the base of service-oriented architecture (SOA) technology. This paper designs a service-based system framework with three-layer structure, and models this platform based on unified modeling language (UML). According to this, a service-based major function oriented zoning decision support system has been achieved for major function oriented zoning application. The results show that the service-based platform design was better in the solution of distributed information sharing and users’ collaboration issues.
Product Design Modes Based on Computer Technology
Authors: Jin Hai Ming , Peng Wen Li
Published: June 2011

Under the background of the rapid development of computer technology and the gradual maturity of advanced manufacturing technology, three product design modes based on computer technology, which include product design based on concurrent and collaborative technology, product design oriented to mass customization and product design based on virtual reality technology, are discussed. Their respective basic design processes are analyzed and the features of three product design modes are also summarized. Under the conditions of economic globalization, product design modes based on computer technology are the key to sustainable development and rapid occupation of future market in the modern fierce competition between enterprises.
Mapping Routing Lookup Algorithm on Many-Core Architecture Based on SPM and Cache Mixed Method
Authors: Yu Lei , Liu Zhi Yong , Fan Dong Rui , Ma Yi Ke , Song Feng Long , Ye Xiao Chun , Xu Wei Zhi
Published: June 2011

With the development of the computing ability of many-core processor, the acceleration of parallel programs on many-core has become the research focus. The network packet processing is an important application of large-scale parallel processing. Thus, many researchers have great interests on the acceleration of packet processing on many-core processor. We select the IP routing lookup algorithm as our target application. We have analyzed the feature of packet lookup algorithm based on binary tree and propose a novel parallel lookup algorithm SCMRL (Spm and Cache Mixed Routing Lookup). We describe the whole process of SCMRL in details. The results of experiments on Godson-T many-core architecture show the better performance than the baseline algorithm.
Dynamic Simulation of Electric Nail Gun Test Rig
Authors: Weng Ze Yu , Xiang Gan , Gao Geng Yuan , Ding Hong Gang
Published: June 2011

Performance test rig of the electric nail gun consists of five partsand the key one of which is the loading mechanism. By analyzing its working principle, virtual prototype model of the loading mechanism was established using simulation software ADAMS. Through simulation of the prototype model, the design requirements of the loading mechanism were given. Then, using the method of parametric analysis, dynamic characteristics of loading mechanism was obtained. Eventually, the relationship between the preload force of loading spring and the implanted force of the sample nail was presented.
Mass Customization Collaborative Logistics Chain Optimization Based on Improved Mixed Genetic-Ant Colony Algorithm
Authors: Tang Wei Ning
Published: June 2011

Under condition of mass customization collaborative logistics chain for optimized configuration, taking quality, cost, time and collaboration degree as evaluation index systems, and aggregative value minimum of evaluation indices as object, an optimal model of mass customization collaborative logistics chain was established firstly. Secondly, based on genetic algorithm and ant colony algorithm, an improved mixed genetic-ant colony algorithm was proposed, which was suitable to solve the problem, and the solution process was explained. Finally, an example and comparison were presented to prove the feasibility and validity of the proposed algorithm. The method provides reference model and solution algorithm for mass customization collaboration logistics chain optimization.
The Design of Artificial Porous Human Bone and RP Procedure Simulation
Authors: Gao Xin Rui
Published: June 2011

In design of artificial bones, in order to make it live together with the human bone, it should has the same porous structure as the human bone. But the Brep or solid model can’t achieve this. By transforming the three direction DEXEL model of polyhedrons into its VOXEL model and setting transparency attributes of VOXELs, the porous structure of artificial bone could be designed. By merging the same attribute VOXELs along y axis, a big VOXEL is formed. By this big VOXEL, the once sintering procedure of RP laser head is simulated. Layer by layer, the whole product is produced. Under Java2.0 and Java 3D, these algorithms were tested and some design examples were given.
Research on Coordinated Simulation of Medical Robot Arm Based on Simulink and RecurDyn
Authors: Xie Xiao Hui , Sun Qiang , Yu Xiao Fang , Du Ru Xu
Published: June 2011

To improve the design efficiency of medical robot arm, a virtual simulation system was built by making full use of the virtual simulation technology. First , a 3D model of the robot arm with five-freedom was built in Solidworks; and then, the model was imported into the dynamic simulation software RecurDyn for kinematics and dynamic simulation; at last, through the interface modular part of Matlab/Simulink and RecurDyn, medical robot arm control system was established by using Simulink module and coordinated simulation of five-freedom was successfully implemented .The simulation results indicate that the coordinated simulation system of the robot arm has preferable dynamic response characteristics and nicer locus-tracking ability.
Research on Modern Enterprises Culture Construction Based on Knowledge Management
Authors: Shen Liang Feng
Published: June 2011

Knowledge Management has put forward many new requirements for modern enterprises culture construction，which requires the enterprise build its knowledge environment and establish its knowledge system，then shape the enterprise culture which can let the members work according to the thoughts of the enterprise. The relationship between enterprise culture and knowledge management is analyzed in this paper, and the modern construction enterprises culture structure hierarchy is probed into under the background of knowledge management，based on these the thoughts of the modern enterprise culture construction is put forward to build the culture atmosphere for enterprise implementing knowledge management.
Applying Computational Grid Technology to Power System
Authors: Luo Feng Ji , Dong Zhao Yang , Wan Can , Chen Ying Ying , Meng Ke , Wong Kit Po
Published: June 2011

This paper proposes a computational grid platform for solving the large-scale power system applications. The platform is based on Globus Toolkit middleware and GridWay meta-scheduler. It can enable large-scale sharing of computational resources across institutional boundary. This paper first discusses the architecture and each component of the platform, and then the test bed is described. Finally, the test results of probabilistic load flow (PLF) by Monte-Carlo simulation are presented. The test results show that the computational Grid system can provide comparable performance.
Gray Fuzzy Cluster Method and its Application in Development Scheme of Fault Block Reservoirs
Authors: Fu Yu , Lu Bo , Lu Min , Zhang Xing Chao
Published: June 2011

Fault-block oil and Gas Field is one of special complicated reservoirs. For its development, No matter at home or aboard, the instances are not too many, and most of them are terrestrial oil reservoir. For ocean fault-block oil reservoirs, there are no instances that can be consulted. This paper aims at some ocean fault block oil reservoir .Gray relation model and fuzzy cluster analysis are combined to set gray fuzzy cluster analysis .Through a case analysis ,gray fuzzy cluster method is used to clustering of reservoirs. with the experiences that has been obtained, so that the foundation are provided for the development of some ocean fault block oil reservoir.
Improved GM (1, 1) Model in the Economic Growth Forecast of Qinghai
Authors: Ju Jia Dong , Xia Guo Ping , Wang Li
Published: June 2011

GDP and industrial investment funds-added are two major factors of measuring economic development for certain countries or regions. In this paper, we use gross domestic product and industrial investment funds as original data from Qinghai Province (2005-2009), and design an improved GM (1, 1) model which is based on the traditional Gray System to analyze and forecast the overall economic growth of Qinghai Province. The improved GM (1, 1) model not only maintains the advantages of simple calculation method, but also greatly improves the traditional GM (1, 1) model to make prediction more accuracy. The experimental results show that this method using improved GM (1, 1) model is high prediction accuracy in forecasting economic growth of Qinghai province. This method is very practical, and it can provide reliable scientific basis for local government to make right directions behind economic growth and industrial development in that region.
An Adaptive Genetic Algorithm Based on Multi-Population Parallel Evolutionary for Highway Alignment Optimization Model
Authors: Chen Jian Xin , Guo Yong Yi , Lv Mai Xia
Published: June 2011

Based on the characteristics of the highway design, this paper transfers all the factors involved in the highway design to a cost-optimized-oriented model and designs a variety parallel genetic algorithm to optimize highway design. While maintaining evolution stability of excellent individual, the algorithm can improve convergence rate and accuracy and avoid premature convergence generated by single-population evolution. To some extent, it makes up generalization-lacking defects of a single species or steady parameters in premature overcoming. Finally, the algorithm is verified with a good result. This algorithm provides a useful method for highway design.
Analogical Basis Decomposition for Randomized Sampling Signal Reconstruction
Authors: Liu Feng Qin , Miao Peng
Published: June 2011

Signal restoration from randomly sampling is needed in many different application environments, like time efficiency and low-power device or hardware failure. In this paper, we use the Analogical Basis Decomposition (ABD) theory to restore the signal by randomized sampling data in frequency domain. Based on the ABD theory, once standard basis are defined in the signal domain, the corresponding analogical basis can be obtained by randomized sampling each base in the frequency domain. Randomly sampled signal can be represented as sum of weighted analogical basis. We developed a fast matching pursuit technique to estimate the weights of analogical basis and then restore the signal. Actually, ABD theory can be used for signal restoration in other transformation domain (like wavelet transformation). Finally, we apply the ABD theory to reconstruct 2-D MR image based on partial sampling data ink-space.
A Trust Evaluating Model Based on Reputation with Multifactor for P2P E-Commerce
Authors: Cao Huai Hu , Zhang Yan Mei , Zhu Jian Ming
Published: June 2011

Trust plays an important role in the development and implementation of P2P e-commerce systems. This paper proposes a novel Trust Evaluating Model Based on Reputation with Multifactor. By introducing many comprehensive trust factors in computing trust level and improving the computing methods of the local reputation and global reputation, this model can not only accurately reflect the node’s trust level, but also reduce the time complexity in computing trust level. Experimental results show that the trust model can improve the rate of successful trading compared with the existing trust models, and can be effectively applied to the P2P e-commerce system.
The Design of Component Level Software Architecture for Multi-Sensor Data Fusion System
Authors: Qin Ning Ning , Shen Wen Yi , Yan Jun , Xu Bao Guo
Published: June 2011

Through investigating the architecture of multi-sensor data fusion system, a universal software architecture which can be used in distributed multi-radar fusion systems is proposed in this paper. In this architecture, functionally independent modules will be extracted from system, it will be standardized as components by object-oriented techniques, and the interface specifications of all the modules are also specified. Aiming at the different objects, system flow and modules can be framed quickly by selecting or expanding proper components based on different scenes feature and object properties. The architecture improves software reusability and scalability, and is propitious to increase software development efficiency.
Accelerating the 3GPP LTE System Level Simulation with NVidia CUDA
Authors: Gao Yuan , Sun Yin , Zhou Chun Hui , Su Xin , Xu Xi Bin , Zhou Shi Dong
Published: June 2011

With the rapid progress of standardization of 3GPP’s LTE (Long Term Evolution) and LTE-Advanced, many research attentions have been focused on the link level evaluations of the 3GPP LTE systems, so as to demonstrate the rationality of novel transmission techniques. Different from theoretical studies, incorporating novel transmission techniques in to the LTE communication systems may affect many parts of the systems, such as signaling process, reference signal design, feedback link design, and compatibility, etc. Link level studies might be too simple to evaluate the benefits of these novel techniques to the entire system. On the other hand, system level simulation concentrates on the performance of the entire network with tens of cells and hundreds to thousands of users. It is possible to illustrate the actual performance of a LTE system by simulations designed from a system standpoint. Since the simulated system is quite large, one can understand the speed of simulation is very important for system level simulation platform. In this paper, we propose a design of Matlab-based 3GPP LTE system level simulator, which makes use of parallel computing techniques supported by NVidia GeForce GTX 260 graphic card. Our simulation experience shows that the simulation time reduces by nearly 1/3 after employing parallel computing techniques.
Precoding Matrix Design of Orthogonal Space Time Coding and Performance Analysis
Authors: Li Ming Qi , Liu Yu Lin
Published: June 2011

Space-time coding has the advantage of simplicity on coding, easy to achieve full diversity transmission, and low complexity on decoding. Based on the estimated inequality of the expectation of a random variable function, block error rate of the orthogonal space time block decoding is analyzed, and a new upper bound on the symbol error rate is achieved. Precoding criterion on orthogonal space time coding has been proposed based on the new upper bound. The solving complexity of the precoding matrix is reduced effectively. Simulation results show that bit error rate of the precoded system is lower than that of the without precoding.
A Survey on Computational Linguistics in Design Documents
Authors: Wang Jian Xiong , Feng Yuan Yong , Qi Ke
Published: June 2011

Design is one of the main activities in industrial manufacture. Researchers in the design field have an increasing number of opportunities to analyse design documents. Some researchers have sought to explore the natural language in these documents, or the design documents. This paper briefly reviews previous research in design document. By describing and analyzing the existing methods, it identifies the gap for the computational linguistics in design documents.
Research to E-Commerce Customers Losing Predict Based on Rough Set
Authors: Wang Ming Jun , Deng Shu Xian
Published: June 2011

The present paper based on rough set theory is to analyze the reason of an e-commerce customers losing. The e-commerce is virtual, customers purchase behavior is random, and there is the 20/80 theory. The focus to the e-commerce customers losing predict is to bring enterprise 80percent profits or frequent buying clients, they will be the study samples. Therefore, we must first find out these clients from numerous customers, analyze their purchasing behavior, and it is one of the important links loss prediction. This process may be realized by customer behavior data clustering. We have analyzed the data in one e-commerce database, and according to a certain algorithm has classified these customers, one kind is superior customers, one kind is general customers, the rest is temporary customers. And a lot of questionnaire survey have been done to these kinds of customers, and then combining e-commerce expert opinions formed the customers data analysis and decision table, then the algorithm, which is the decision table blindly delete attribute reduction algorithm, is adopted to process the attributes reduction to the decision table. Then, we get the reduction table of the customers’ data analysis and decision. According to the reduction table, we summarize e-commerce customers’ loss decision rule. Through these decision-making rules, we can predict these losing customers, and take timely measures necessary to retain.
New Evolutionary Neural Network Based on Continuous Ant Colony Optimization
Authors: Gao Wei
Published: June 2011

The evolutionary neural network can be generated combining the evolutionary optimization algorithm and neural network. Based on analysis of shortcomings of previously proposed evolutionary neural networks, combining the continuous ant colony optimization proposed by author and BP neural network, a new evolutionary neural network whose architecture and connection weights evolve simultaneously is proposed. At last, through the typical XOR problem, the new evolutionary neural network is compared and analyzed with BP neural network and traditional evolutionary neural networks based on genetic algorithm and evolutionary programming. The computing results show that the precision and efficiency of the new neural network are all better.
A Research on Rapid Modeling Technique of Virtual Reality 3-Dimentional Underground Piping
Authors: Hu Jian Ping , Li Guo Dong
Published: June 2011

By the optimization of piping models, this paper comes up with some 3-dimensional modeling methods on the basis of OpenFlight API, and solves the critical issues of modeling. In addition, it also establishes a quick modeling means of 3-dimensional underground piping, which is directly formed by databases, drawings, and DXF files, thus realizing the quick modeling of macroscopic underground piping.
The User-Oriented Design and Practice of HMI
Authors: Duan Yu An , Song Hai Tao , Sun Yan Ming
Published: June 2011

HMI (Human-machine Interface) is the media of communication between human and the computer system; designers should not only consider the completeness of its functions in the design of software products, but also human factors. It is necessary for the software products to meet the functional requirements of users, besides; a friendly interface is also needed to improve customers’ satisfaction while improving users’ productivity. This paper discusses the principles and specific method of designing a user-centered human-machine interface and then applies the method in the design of the mounter’s interface so as to test the method put forward in the paper.
An Object Detection Method for Sonar Image Using Fuzzy Artificial Neural Network
Authors: Zheng Xi Tao , Wang Shi Ming , Zhang Yong Wei
Published: June 2011

A method to efficiently identify object from its background noise for a sonar picture using fuzzy artificial neural network is introduced. The sonar images are from a high precision array sonar imaging device. The ability to set focus to a certain range of interest will produce a well lamented grayscale picture around the focus distance. The intelligent window over the digital picture based on neural network feedback is used to partition the picture into different levels of grid and the grid data is treated as the input for the network. Multiple levels of gridding are applied corresponding to the layers of neural network. Samples are provided for training to get the focus related threshold values. The method is faster and can be used for the pre-identification of object from sonar image so additional processing can be called for shape recognition. Matlab programming is used for data processing.
Hunting Algorithm and Application in Auto-Generation of Test Paper
Authors: He Fu Nan , Chen Shu Yue , Shi Guo Dong
Published: June 2011

Referring to the military sonar hunting submarine principle，the author converts the multi-constraint issue into the multidimensional space search issue and calculates the differences between the current solution and expectation in each dimension to determine the direction and the scope for the next search. Then the probability of better solutions and the efficiency are both improved. This article mainly make experiments in the auto-generation of test paper. The auto-generation of test paper is proved to meet the needs in practice.
The Fault Detection Method of CAN Bus Based on Network Resistance Model
Authors: Yu Chuan Qiang , Qi Zhen Dong , Wang Zhen Ye , Wang Yu
Published: June 2011

In the error detection mechanism of CAN bus, when the failed node or line is not in the data exchange path, you will not detect the fault, in order to solve this problem, a method is proposed which is realized by adding an external hardware detection circuit in the CAN-bus network, the fault will be detected through testing the resistance of the CAN bus network. In this paper, the network resistance model of CAN bus is established, and the principle of network resistance fault detection method is analyzed. We have carried out several experiments by the network with three nodes to test the validity of this method. As the results of our experiments, we concluded that the method can real-time and comprehensively detect the fault of network and do not take up the network bandwidth, so this method can effectively resolve the problems of current detection mechanism and have good application prospect in some high reliability requirements occasions.
Image Spread Spectrum Watermark Technique Based on Digital Holography and Ridgelet Transform
Authors: Huang Jian Ping , Song Guo Xiang
Published: June 2011

A novel image watermarking algorithm based on digital holography and ridgelet transform was designed by taking the advantage that ridgelet transform domain is a most suitable representation of image’s linear outline edge features. Firstly, the image was divided into blocks, and each block was transformed by finite ridgelet transformation. Secondly, the digital holography watermark that is got with the spread spectrum technique is embedded into the most energetic coefficients of ridgelet . A correlation function is used in the watermark detection process and the original image is not required.Experimen result show the watermark is robust to noise,medial filtering and JPEG2000 lost compression.By comparating respectively with paper[4] and paper[5],the result shows the proposed algorithm is more superior to them.
Inner and Outer Eye Corners Detection for Facial Features Extraction Based on CTGF Algorithm
Authors: Zhou Ran , He Qing , Wu Jie , Hu Chao , Meng Q. H.
Published: June 2011

This paper proposes a novel inner and outer eye corners detection method, which inosculates corner, regional texture and gray information, called CTGF algorithm. It utilizes corner detector to determine the candidate points of eye corners, such as Harris. Next, the region texture information is obtained through polar coordinate integral, in order to locate the exactly positions of eye corners among the candidate points. The CTGF algorithm provides a precise and reliable facial feature for many computer vision applications and the robustness and accuracy are demonstrated in experiments.
Study on the Multi-Axis Motion Control Based on LabVIEW
Authors: Gao Jun Li , Song Hai Tao , Peng Hua Ming , Liang Yong Zhong
Published: June 2011

On the basis of study on the key multi-axis motion control theories about acceleration & deceleration control, numerical interpolation algorithm, device drivers and application design technologies based on LabVIEW, verified the feasibility through the 3-axis numerical milling platform developed by ourselves. The platform can also realize the simulation and practical verification about the demonstration teaching process of numerical control machining and 3-dimensional contour of the workpiece machined, and has the significant practical value.
Function Module Dynamic Partition for Product Innovation Design
Authors: Chen Ji Wen , Zhang Jin Sheng , Wang Zhi , Wang Jing Kun
Published: June 2011

The reasonable functional modules partition is crucial to technical solution of function in product innovation design. Technical evolution factors are not considered in current product module partition method. The correlation of customer demand and product function unit, function unit flow correlation and function technology correlation are synthesized for function module partition in product innovation design. Based on function base expression, function chain and function structure is established to provide basis of function correlation analysis. Function correlation matrix is established by combining the correlation matrix of customer demand and product function unit, the function unit flow correlation matrix and function technology correlation matrix. The dynamic cluster analysis of fuzzy equivalence matrix is used to form function module. The function module partitions are evaluated by polymerization degree and coupling degree. The presented dynamic module partition method has strong distinguishing ability.
Applications of Focused Ion Beam Technology in Bonding Failure Analysis for Microelectronic Devices
Authors: Chen Yuan , Zhang Xiao Wen
Published: June 2011

Focused ion beam (FIB) system is a powerful microfabrication tool which uses electronic lenses to focus the ion beam even up to nanometer level. The FIB technology has become one of the most necessary failure analysis and failure mechanism study tools for microelectronic device in the past several years. Bonding failure is one of the most common failure mechanisms for microelectronic devices. But because of the invisibility of the bonding interface, it is difficult to analyze this kind of failure. The paper introduced the basic principles of FIB technology. And two cases for microelectronic devices bonding failure were analyzed successfully by FIB technology in this paper.
Optimizing Navigation Satellite Enhancement Information Distribution Network Based on X10 and MPI
Authors: Liu Jun Xia , Liu Shao Hua , Yu Jun Sheng , Xie Peng , Lu Ze Jian , Chen Xiao Dong
Published: June 2011

To meet large-scale and time-sensitive needs of navigation Satellite enhance information distribution network in Global Position System(GPS)/Beidou and other systems [1], use small-world network model of complex network to study the topology. Small-world model has a large clustering coefficient and smaller average shortest path length so it can meet performance requirements better. Use Python language to product WS model, and simulate the important parameter-the average shortest path length. Use Dijkstra parallel algorithm and sparse matrix storage method to simulate under the use of X10 parallel language. Analyze the relationship between average shortest path length and random reconnection probability. Additionally, simulate in parallel MPI library and compare the two.
A Pre-Coding Scheme for Minimizing the Average BER Applicable to Cooperative Multi-Cell System
Authors: Wu Jia , Su Xin , Gao Hui , Zhang Zhang
Published: June 2011

In this paper, we design a pre-coding method in cooperative multi-cell system, which is the singular value decomposition (SVD) processing followed by a power allocation scheme of minimizing the average BER of the system under a set of every base station (BS) transmit power constraints. This method further reduces the residual interference through power efficiently allocated among the data streams. Moreover, taking different channel state information (CSI) error variances among user equipments (UEs) into consideration, the proposed low-complexity pre-coding scheme is robust to imperfect CSI.
Detection for Eggshell Crack Based on Acoustic Feature and Support Vector Machine
Authors: Xiong Li Rong
Published: June 2011

The paper has proposed a new method based on acoustic feature and support vector machine. A sound signal acquisition system is designed based on microcontroller, the power spectra is received for good shell eggs and crack eggs. 4 parameters, such as the average power spectrum area (x1), power spectrum area of range value (x2), the first average formant amplitude (x3) and the first formant amplitude range value (x4), are extracted. These 4 parameters are regarded as input vector for support vector machine (SVM). The advantages and disadvantages for classification performance because of different kernel functions and different training sample size are compared, and ultimately the radial basis function (RBF) function is regarded as the best kernel function for the optimal classification results, and then the penalty coefficient C and the normalization coefficient are optimized, the overall recognition rate reached 97.37% or more, running time is about 0. 3s.The results show that SVM has a perfect performance in eggshell crack detection.
Detecting Local Illumination Using Skewness of Oriented Gradients from a Single Image
Authors: Zhang Fan , Zhou Bing Yin , Peng Li Zhong
Published: June 2011

In this paper we present a simple and effective method for detecting illumination of a region from a single image. Our method is primarily based on skewness, which is a measure of asymmetry of a data set in statistics. We happen to find out that the skewness value of oriented gradients of an image can measure the directional characteristic of illumination. By choosing appropriate statistical area, we can analyze the subtle changes on the surface of an object. Theoretical analysis and experimental results show that our algorithm is accurate and effective. In the end, we give its application in image authenticity verification problem which is to distinguish real and “flat” objects in a photograph, and it shows excellent results.
Information Processing of the Broken Tape of Flight Data Recorder
Authors: Li Chang You , Li Hong Zheng
Published: June 2011

For the requirement of the department for aviation accident investigation, a computer information system of processing the broken tape of flight data recorder has been designed. The main principles of the system are that magnetic track images are first preprocessed using image processing techniques, furthermore, the position coordinates of tracks are obtained using image recognizing techniques, finally, the data corresponding to track coordinates are obtained by encoding the track coordinates using the serial-parallel scanning method that is specially designed. The accurate ratio of automatic encoding is 99.3%. The times of automatic encoding are reduced to proximate 5 seconds from about 4 hours of two operators for one frame track image. This system is significant for aviation accident investigations.
Study on Measurement of Snap Ring Grooves in Front Cylinder Head of Compressor and Gauge Detection
Authors: Yuan Xiao Jiang , He Xue Ming , Lu Yi , Hua Chen Liang
Published: June 2011

Take spare parts from front cylinder head of compressor as an example, the essay analyze feature of parameter in snap ring grooves, measure dimension error of cone angle in snap ring grooves in method of comparative measurement, solve the problem that parameter of similar spare parts can not be measured, implement gauge detection of size of snap ring grooves in method of comparative measurement.
The Stepwise Regression Model between Munsell Color Index and Clothing Pressure of Knitted Tight-Fit Sports Pants
Authors: Cao Jian Da , Wu Xuan Run , Chen Yan
Published: June 2011

Through testing the Munsell color index and the static fabric pressure of the tight pants, the paper has established eight related model with the method of the stepwise regression analysis. The result shows that (a) The static garment pressure of the stretch knitted pants can be predicted with stepwise regression models which are using the Munsell color index and fabric specifications as input parameters, and prediction models have the high adjusted correlation coefficients, and have smaller errors between predicted values and measured values. (b) The static garment pressure of the stretch knitted pants has some relationship with dynamic surface wetness of fabrics. (c)The relationship between the static garment pressure of the stretch knitted pants and the weft density is not obvious.
Back-Propagation Neural Network on Characterization of Groundwater Quality in Pingtung Champaign, Taiwan
Authors: Huang Yi Chu , Tang Ping Kuei , Lee Yu Chun , Lin Ya Ru
Published: June 2011

Four clusters were classified according to the similarities and dissimilarities of water quality data collected from 1998 to 2008 of the 76 monitoring wells in Pingtung Champaign. The results showed that the groundwater quality of hinterland was better than that of coastal area. Some wells along the coastal areas have already been influenced by seawater intrusion incurring aquifer salinization. The overall grouping accuracy of cluster analysis (CA) for rainy and dry seasons was 95.8% and 97% according to the discriminant analysis, respectively. The results from the back-propagation neural network (BPNN) model showed no significant variations of nitrate (NO3-N) between the estimated and observed data, however most of the estimated total organic carbon (TOC) data were higher than the observed ones. It meant that the groundwater quality may be susceptible to the impacts of organic pollutants in the future within 90% confidence intervals. The results of this study show that application of CA and BPNN can simplify complex non-linear systems, moreover, groundwater quality can be estimated and modeled via monitoring data over the years. The modeling results can be utilized to frame the corresponding strategies to reduce the monitoring cost and to enhance the cost-effective benefits. The proposed analysis methods can be referred as a management plan for groundwater resources and pollution prevention to achieve the goal of early warning.
The Implementation of Remotely and Real-Timely Monitoring System from Web End for Long-Term Health Care Institute
Authors: Wang Ching Sung , Liu Chien Wei , Wang Teng Wei
Published: June 2011

Along with the information and communication technique progress, nosocomial medical care service has extended to the long-term care institute and home care. To meet the great amount of health care demand in this aging society, telecare comes to develop. This research realizes the sense system integrating of blood pressure (BP), blood oxygen saturation (SpO2), hear beat (HR), electrocardiograph (ECG), body temperature, and other physiological information, wirelessly and real-timely upload to the database which presents on the web end. It will provide the patients, their family, or medical members better, logger, and more stable physiological monitoring, then warns the related people of abnormal physiological signal. Moreover, it not only substitutes the hand-write medical record which may takes much physician time, but it provides the more intact health history of patients for the future reference.