bluuebunny/crossref_metadata_2025 huggingface dataset:
Modelo de clasificación y valoración multifuncional de una red de vías pecuarias: aplicación a dos subcomarcas madrileñas
Authors: Cazorla Montero Adolfo , De los Ríos Carmenado Ignacio , Alier Gándaras José Luis , Merino García Julio
Published: May 2010

[es] La presencia de vías pecuarias en la geografía española es muy notable. En el contexto actual de cambio y transformación del espacio rural, las vías pecuarias también han evolucionado adquiriendo nuevos usos y funciones. En el presente trabajo se ha diseñado un modelo de valoración y clasificación de vías pecuarias que quiere profundizar en el estudio sistemático del valor que tienen las vías pecuarias en función de los usos actuales y potenciales. La finalidad del modelo es proporcionar un instrumento de ayuda en la toma de decisiones sobre la planificación y gestión de redes de vías pecuarias. Se exponen los principales fundamentos teóricos de este modelo, así como los resultados de su aplicación en dos subcomarcas de la región de Madrid.

[fr] La présence de voies de bétails dans la géographie espagnole est très notable. Dans le contexte actuel de changement et la transformation de l'espace rural, les voies de bétails a aussi développé des nouvelles utilisations acquérantes et des fonctions. Dans le présent travail on a conçu un modèle d'évaluation et de classification de voies de bétails qui veut pénétrer dans l'étude systematical de la valeur qui ont les voies de bétails selon les utilisations actuelles et potentielles. Le fin du modèle est fournir un instrument d'aide dans la capture de décisions sur la planification de voies de bétails et la gestion de réseau de voies de bétails. On a exposé les bases théoriques principales de ce modèle et aussi bien que les résultats de son demande dans deux sous-zones de la région de Madrid.
El corredor verde del Guadiamar y las relaciones entre protección ambiental y ordenación del territorio
Authors: Feria Toribio José María
Published: May 2010

El proyecto de crear un corredor verde en el Guadiamar como respuesta a la catástrofe ecológica del vertido minero de Aználcollar plantea cuestiones ciertamente relevantes, tanto de tipo teórico como práctico, en materias de protección ambiental y ordenación del territorio, más aún tratándose de un espacio profundamente antropizado y próximo a un área metropolitana de más de un millón de habitantes. El artículo analiza algunas de esas cuestiones, enfatizando los problemas y debilidades pero también las potencialidades y recursos que presenta un proyecto de esa naturaleza.
Miguel Servet (1511-1553) y la geografía de su tiempo
Authors: Bosque Maurel Joaquín
Published: May 2010

[es] La figura de Miguel Servet, esencial en la historia de los heterodoxos españoles y europeos del siglo XVI5 alcanzó importante relieve en el estudio y la difusión de la Geografía clásica y en especial en el conocimiento de Claudio Ptolomeo y su Geografía. Asimismo, desempeñó un importante papel en la evolución de los estudios geográficos en el Renacimiento y sus particulares principios científicos. En su muerte en la hoguera por hereje, dictada por Calvino, sus comentarios geográficos tuvieron una cierta importancia.

[fr] La figure de Miguel Servet, essentielle dans l'histoire des hétérodoxes espagnols et européens du XVI siècle, a eu une grande importance dans l'étude et la diffusion de la Géographie classique et surtout dans la connaissance de Claude Ptolémée et sa Géographie. De même, il a joué un grand rôle dans l'évolution des études géographiques de la Renaissance et ses particuliers principes scientifiques. Ses commentaires géographiques ont eu une certaine influence sur la sentence à mort sur le bûcher par hérétique dictée par Calvin.
La formación por alternancia y el desarrollo rural en América Latina. El caso de Colombia
Authors: García-Marirrodriga Roberto , De los Ríos Carmenado Ignacio
Published: May 2010

[es] El desarrollo rural no se entiende de la misma manera en ámbitos tan diversos como el europeo y el latinoamericano. Algunas instituciones hablan de una Nueva Ruralidad en América Latina, basada en conceptos como desarrollo humano, capital social y crecimiento económico con equidad. La agricultura latinoamericana es cada vez más multifuncional y el desarrollo rural comienza a tener un claro enfoque territorial que refuerza los efectos sociales. Pero, en cualquier contexto rural, los procesos de desarrollo sostenible se favorecen, en primer lugar, con la permanencia de personas en el medio; y, en segundo lugar, cuando los protagonistas del cambio tienen una formación adecuada.
Este artículo describe un sistema educativo peculiar -la alternancia- que se basa en alternar períodos de formación en el entorno socioprofesional y en el aula. Propone también un modelo para la evaluación del impacto de dicha formación que se aplica a una zona rural latinoamericana y que permite comprobar resultados muy satisfactorios para la calidad de vida, el empleo, la sostenibilidad de la agricultura y el equilibrio territorial. Concretamente, se estudia el caso de Colombia y se analiza cómo los jóvenes formados son capaces de influir en la generación de procesos de desarrollo porque se convierten en líderes locales y contribuyen a crear tejido social.

[fr] Le développement rural n'est pas compris de la même manière dans des contextes aussi différents que l'Europe et l'Amérique latine. Quelques Institutions parlent d'ime Nouvelle Ruralité en Amérique latine, basée sur les concepts de développement humain, capital social et développement économique avec équité. L'agriculture en Amérique latine est, de plus en plus, multifonctionnelle, et son développement rural a une approche territoriale qui renforce des aspects sociaux. Mais, dans n'importe quel milieu, les procès durables du développement sont favorisés, tout d'abord, par la permanence des personnes dans les espaces ruraux. Et, en deuxième lieu, si les protagonistes du changement reçoivent l'éducation et la formation appropriées.
Cet article explique un système éducatif basé sur l´alternance des stages de formation entre le milieu socioprofessionnel et l'école. Il propose aussi un modèle d'évaluation d'impact qui s'applique dans une zone rurale d'Amérique latine. Ceci nous permet de vérifier des résultats satisfaisants pour la qualité de vie, l'emploi, la durabilité de l'agriculture et l'équilibre territorial. Pour le cas concret de la Colombie, il analyse la manière dont les jeunes qui ont été formés avec ce système, peuvent influencer d'une façon décisive sur la génération des processus de développement local, justement parce qu'ils deviennent des leaders de leurs communautés et participent activement à la construction du tissu social.
El turismo como estrategia de desarrollo en Cuba
Authors: Del Risco Yera Yoel , Mundet i Cerdan Lluís
Published: May 2010

[es] El turismo se ha convertido en una actividad económica que, cada vez tiene mayor importancia en el desarrollo económico, social y medio ambiental. Este hecho adquiere una especial relevancia en el caso de Cuba. La actividad turística es vista como una forma de equilibrar la balanza de pagos, una fuente de divisas y de empleo. Sin embargo, en momentos de incertidumbre económica y política como son los actuales, los peligros de sustituir un monocultivo (del azúcar) por otro (el turismo) son muy grandes y se hace necesario revisar su utilización como vía para el desarrollo.

[fr] Le tourisme est devenu une activité économique de plus en plus importante du point de vue économique, social et environnemental. Il s'agit là d'un fait tout particulièrement essentiel dans le cas de Cuba. L'activité touristique est abordée comme un moyen permettant d'équilibrer la balance des paiements, ainsi qu'une source de devises et d'emploi. Cependant, considérant la conjoncture actuelle d'incertitude économique et politique qui accroît les risques de remplacer une monoculture (celle du sucre) par une autre (le tourisme), il est donc nécessaire de réétudier l'utilisation du tourisme en tant que voie de développement.
El desarrollo rural y la transformación del patrimonio arquitectónico tradicional. El caso de la aldea indígena Plan Grande Quehueche (Izabal, Guatemala)
Authors: Blanco Sepúlveda Rafael , Enríquez Narváez Francisco
Published: May 2010

[es] El desarrollo rural basado en el ecoturismo se sustenta sobre los ricos valores ecológicos y culturales que existen en el territorio. Sin embargo, paradójicamente, el desarrollo económico de las comunidades rurales suele llevar aparejado una transformación contraproducente de los valores culturales de dichas comunidades, pilar básico de esta modalidad turística. Uno de los valores culturales que se ven afectados por este fenómeno es la arquitectura popular. El objetivo de este trabajo es analizar las causas y el proceso inicial de transformación de la arquitectura popular de la aldea Plan Grande Quehueche del Departamento de Izabal en Guatemala y que está afectando a los aspectos formales del interior de las viviendas, a los materiales de construcción y a la tipología arquitectónica tradicional. El trabajo termina indicando las medidas preventivas y/o correctoras oportunas que se podrían establecer para poner fin a este fenómeno de degradación del patrimonio arquitectónico tradicional.

[fr] Le développement rural basé sur l'écotourisme (le tourisme écologique) s'appuie sur les riches valeurs écologiques et culturelles qui existent dans le territoire. Malgré tout, et paradoxalement, le développement économique des communautés rurales entraîne d'habitude une transformation négative des valeurs culturelles des communautés mentionnées. Or, ces valeurs représentent la clef de voûte de cette modalité touristique. Une des valeurs culturelles qui se voient affectées par ce phénomène, c'est l'architecture populaire. L'objectif de cette étude c'est d'analyser les causes et le procès initial de transformation de l'architecture populaire du village Plan Grande Quehueche, du département d'Izabal, au Guatemala. Dite transformation est en train d'affecter les aspects formels de l'intérieur des demeures, les matériaux de construction et la typologie architectonique traditionnelle. L'étude finit en indiquant les mesures préventives et/ou correctrices opportunes qui pourraient se mettre en œuvre, afin de couper court ce phénomène de dégradation du patrimoine architectonique populaire.
Las funciones turísticas y residencial en la España rural: un análisis cuantitativo del caso de las zonas de montaña (1959-2001)
Authors: Collantes Gutiérrez Fernando
Published: May 2010

El objetivo de este trabajo es realizar una contribución de tipo cuantitativo al análisis de la aparición en el medio rural español de nuevas actividades económicas tras la crisis del modelo tradicional y el desencadenamiento definitivo de la despoblación. Se han tomado las 84 comarcas que constituyen las principales zonas montañosas del país, y para ellas se han construido diferentes indicadores sobre los sectores turístico y residencial durante la segunda mitad del siglo XX. Los resultados permiten realizar comparaciones transversales y cuantificar el muy desigual reparto de estas nuevas funciones en el medio rural español: dentro de la muestra escogida, el Pirineo ha destacado por su incipiente especialización turísticoresidencial (que ha permitido a varias de sus comarcas invertir sus declinantes trayectorias demográficas), pero los efectos han sido bastante más débiles en el resto de áreas montañosas (con algunas comarcas del Sistema Central, especializadas en la función residencial, como principal excepción).
Application of Cascade-Correlation Algorithm in Vibration Characteristics of Hydro Turbine
Authors: Wang Li Ying , Zhao Wei Guo , Hou Jian Min
Published: May 2010

The cascade correlation algorithm that is CC algorithms, CC network structure and CC network weights learning algorithm are introduced, based on the operation data of Wanjiazhai hydropower station, considering the pressure fluctuation, the network model of vibration characteristics is established based on CC algorithm, and the applications of CC and BP algorithm in vibration characteristics of turbine are compared. The results show that the CC algorithm is better than BP neural network, the results can be used in the optimal operation of hydropower, and it has a practical significance.
Rolling Bearing Fault Diagnosis Based on Wavelet Packet- Neural Network Characteristic Entropy
Authors: Wang Li Ying , Zhao Wei Guo , Liu Ying
Published: May 2010

On the basis of neural network based on wavelet packet-characteristic entropy(WP-CE) the author proposes a new fault diagnosis method of vibrating of hearings, in which three layers wavelet packet decomposition of the acquired vibrating signals of hearings is performed and the wavelet packet-characteristic entropy is extracted, the eigenvector of wavelet packet of the vibrating signals is constructed，and taking this eigenvector as fault sample the three layers BP neural network is trained to implement the intelligent fault diagnosis. The simulation result from the proposed method is effective and feasible.
The Gerber-Shiu Discounted Penalty Function for Risk Process with Double Markovian Environment
Authors: Yu Wen Guang
Published: May 2010

In this paper, we study the Gerber-Shiu discounted penalty function. We shall consider the case where the discount interest process and the occurrence of the claims are driven by two distinguished Markov process, respectively. Moreover, in this model we also consider the influence of a premium rate which varies with the level of free reserves. Using backward differential argument, we derive the integral equation satisfied by the expected discounted penalty function via differential argument when interest process in every state is perturbed by standard Wiener process and Poisson process. In some special cases, closed form expression for these quantities are obtained.
A Method to Eliminate the Count Outliers of Radon Concentration
Authors: Zhou Shu Min , Chen Rui , Tang Bin
Published: May 2010

This paper describes the method of radioactivity measurement to eliminate the outliers in experiment. The value of radon concentration can cause deviation in the process of transmission because the FH-463 is interfered in the process of measurement by external factors such as electromagnetic waves etc. It makes measurements vary greater than the Expectations. And it can only process 10% or less Outlier when using Grubbs’ criterion directly. In order to meet the Radon Concentration for inspection, the paper makes some necessary improvement on the criterion to adapt itself and estimates the sample data with linear regression. The experimental results show that the method is very convenient to reject the data with deviation more effective. The method in this paper can also be used in other fields.
Research on the Motion Model of Flying Plate in Explosive Welding
Authors: Lu Ming , Peng Liu , Li Ling , Ji Xin Wei
Published: May 2010

Constant variably acceleration motion model of flying plate is proposed and the model formula about the relationship between speed of flying plate and clearance is put forward, which provides theorotical basis for choosing optimum clearance by collision speed of different metallic materials in explosive welding industry production. High pressure impulse X radial photograph experiment was carried out, the photos of the flying stances of flying plate in different clearances were obtained and the corresponding flying speeds of flying plate were calculated. Curve fitting of the experiment data through constant variably acceleration motion model was carried out. The results show that constant variably acceleration motion model accords well with the experiment data，and the maximum speed of flying plate calculated through constant acceleration model is in good agreement with the values through theoretical calculation. Therefore, it is concluded that the motion of flying plate in the main follows the constant variably acceleration motion.
The Application of Basic Principles of Knowledge Engineering in Knowledge Management
Authors: Zeng Ting
Published: May 2010

Knowledge management and knowledge engineering is two important concepts, in recent years. Knowledge Engineering is the engineering solution of the system, emphasizing the process of the acquisition of knowledge and knowledge on behalf of knowledge-based systems in the uncertain process requirements. The purpose of this paper is to discuss how to use the basic principles of knowledge engineering in order to promote knowledge management.
An Empirical Study on Predicting Financial Risk of Listed Companies
Authors: Chen Yan Li , Chen Li Hui
Published: May 2010

Financial crisis early warning analysis is a matter of grave social and economic concern. It is important for enterprises, commercial banks and various investors. This is an exploratory study to determine if financial ratios of crisis companies differ from those of no crisis companies. The crisis firms (n=63) were then matched with no crisis firms on the basis of firm size, time period, and industry. Using this matched-pairs design, choose 63 listed companies, which are marked ST companies because of abnormal financial standing in Shanghai and Shenzhen in 2006, form the financial crisis samples, and choose some similar sized listed companies in same industry as matching samples, Taking the index of property liabilities ratio, audit opinion, finance lever ratio, gross property net profit ratio, sales revenue growth ratio and cash flux to current liability ratio as the final variants, set up the discriminant model by Fisher’ coefficient, conduct the case analysis of financial crisis early warning. These results provide empirical evidence of the limited ability of financial ratios to detect and predict crisis financial reporting.
Bioprocess Soft Sensing Based on Multiple Kernel Support Vector Machine
Authors: Du Zhi Yong , Wang Xian Fang , Zhang Hai Yan
Published: May 2010

Soft sensing technology is one of the topics of general interest in study on current process control, which has recently drawn considerable attention worldwide, and has stimulated researchers and engineers to make greater effort to reduce the cost/benefit-ratio for development and manufacture of bio-industrial processes both economically and environmentally. This paper introduced a kind of soft-sensor based on an improved support vector machine (SVM) for a polyacrylonitrile productive process. The improved SVM called the multiple kernel support vector machine was presented, and the mathematical formulation of multiple kernel learning is given. Through the implementation for average molecular weight in polyacrylonitrile productive process, it demonstrates the good performance of the proposed method compared to single kernel.
Credit Risk Prediction Study Based on Modified Particle Swarm Optimized Fuzzy Neural Networks
Authors: Xiong Zhi Bin
Published: May 2010

In last decade, neural networks (NNs) have been proposed to predict credit risk because of their advantages of treating non-linear data with self-learning capability. However, the shortcoming of NNs is also significant due to a “black box” syndrome. Moreover, in many situations NNs more or less suffer from the slow convergence and occasionally involve in a local optimal solution, which strongly limited their applications in practice. To overcome NN’s drawbacks, this paper presents a hybrid system that merges fuzzy neural network and niche evolution particle swarm optimization into a comprehensive mode, named as niche evolution particle swarm optimization fuzzy neural network (NEPSO-FNN), the new model has been applied to credit risk prediction based on the data collected from a set of Chinese listed corporations, and the results indicate that the performance of the proposed model is much better than the one of NN model using the cross-validation approach.
Image Segmentation Arithmetic Based on Narrow Band C-V
Authors: Lv Xiao Hu , Liu Yong Xin
Published: May 2010

The characters of C-V model are analyzed in this paper. Using the C-V technique to segment objects from an image, every pixel of whole image needed to be updated in each iterative calculation. The amount of iterative calculation is very large. So a computational method combine C-V model with the narrow band of level set is proposed. The segmentation iterative computation is defined on a narrow band, so the computation complexity is gotten lower. This segmentation algorithm is simulated in MATLAB. The simulation results shows that this segment arithmetic is efficiency, constringency fast and can get object integrally.
A Fast Algorithm for Road Recognition in Remote Sensing Image
Authors: Li Li Li , Liu Yong Xin
Published: May 2010

In general, the road extraction methods in remote sensing images mainly are edge detection, feature integration, and so on. A fast road recognition arithmetic is presented in this paper. First using adaptive binarization arithmetic, the path on remote sensing images is extracted. Then morphological method is used to process image. Finally, the extracted image superimposed with the original and get clear road. Simulation results shows that this algorithm is efficiency, the anti-noise ability is enhance, and more precision.
Protection System of Cooperative Network Based on Artificial Immune Theory
Authors: Xu Song , He Ping
Published: May 2010

The paper proposes a network security monitoring protection model with synergetic mechanism based on the basic principle of human immune system and the state quo of network hacking inspection research and the analysis and appraisal on the original artificial immune model. This model proposes human-computer interaction disaster warning system based on computer dangerous operation and the advantage of agent technology and proposes free-state anti-virus technology based on the human body apoptotic cells. The test results show that the methods proposed in this thesis remedy the illegal program escaped from monitoring security scanning and the system security hidden danger caused manually and at last proposes the development trend of the future artificial immunity in computer protection field.
Bouc-Wen Hysteresis Model Parameter Identification by Means of Hybrid Intelligent Technique
Authors: Ye Mei Ying , Jiang Hui , Xu You Sheng , Wang Xiao Dong
Published: May 2010

A hybrid intelligent technique is proposed to identify Bouc-Wen hysteresis model parameters. This intelligent technique is based on a hybrid of genetic algorithm (GA) and Levenberg–Marquardt algorithm (LMA). In the hybrid intelligent technique, the GA, a popular evolutionary optimization method, firstly searches the entire problem space to get a set of roughly estimated solutions. The LMA, a well-known numerical method, then performs a local optima search in order to carry out further optimizations. The performance of the hybrid intelligent technique is compared with GA method in terms of parameter accuracy. The simulation experiments of Bouc-Wen hysteresis model with known parameters are illustrated to show that a high quality solution can be achieved by means of the hybrid intelligent technique. The concept of hybrid intelligent technique may benefit the parameter identification in diverse hysteresis model problems.
Analysis and Optimization of Subframe Based on Viberation Control
Authors: Song Hai Sheng , Shi Wen Ku , Long Yan , Liu Wei , Feng Guo Yu , Fang De Guang , Shen Zhi Hong , Guo Fu Xiang
Published: May 2010

Accord to the vibration of the floor of one light bus ,the analysis based on experiment is done to confirm that the vibration source is resonance of the subframe. The modal analysis and optimal design is done with Hyper-OptiStruct .The experimental validation of real car is completed and the results show that the optimization is effective and reasonable
Complex Adaptive Organization Change: An Empirical Study on Chinese Telecom Enterprise
Authors: Peng Ying , Yang Zhao , Hou Jin Ling , Xu Jian Rong , Liu Shan Tang , Ming Fu Cheng
Published: May 2010

In recent years, with the telecom competitive landscape changing and the communications technology developing, China's telecom market has shifted from the seller's to the buyer's. Moreover, the arrival of 3G is injecting vitality to China's information services. Series of industrial policies have triggered structure optimization and reorganization, but also made the Chinese telecom companies face the changing situation more various than ever. How to “victory in changing” becomes an urgent problem of decision-makers to explore and solve. As a new organizational mode, learning organization is considered as new trends for enterprise organization and management methods and ideal management mode in Era of knowledge economy. This paper based on level response theory of complex adaptive system, discusses the impact to the change led by “organizational knowledge”, expands “structure-relationship” to the “structure-knowledge-relationship” network theory , then proposes a hypothesis about three-dimensional constitute of organizational changes and builds adaptability evolution model for learning organization under the action in complex environment. Also we give a empirical research to statistically analyze questionnaires from different telecom companies and confirm the hypothesis according to the previous analysis. Finally, the strategies to improve the adaptability of telecom operators are put forward in order to maintain continuing power for development. The conclusion of this research has some significance as reference for those who try to improve the level of the adaptability of business organizations in the various changing environment.
Application 3D Numerical Simulation on Foundation Pit Dewatering Design of Nanchang International Financial Center
Authors: Chen Gong Xin , Lei Wang
Published: May 2010

Based on the detailed analysis of site engineering geological and hydro-geological conditions for the proposed project Nanchang International Finance Center high-rise building, the dewatering design of this fundamental pit is proposed， in accordance with the surrounding environment as well as those pit design elements and so on. The three-dimensional numerical simulation model of groundwater for dewatering is also established. Using the three-dimensional groundwater numerical simulation software, Visual-modflow, the site is meshed into grid and the dewatering model is built under different well numbers and space. Al last, an optimal program (10 pumping wells for each pit and well equaling space) for this pit has been determined. It is also to simulate the water level vs. time during the dewatering. This does not only provide a strong basis for the optimum design of the foundation pit dewatering, but also provide a scientific basis for decision making to the underground construction.
Design of Model Driven Cascade PID Controller Using Quantum Neural Network
Authors: Huang You Rui , Tian Yi Ming , Qu Li Guo
Published: May 2010

PID optimal parameters selection has been extensively studied, In order to improve some strict performance requirements for complex system. A new design scheme of PID controllers is proposed in this paper. This scheme is designed based on the IMC which is a kind of the model driven controllers. The internal model consists of the full model. The full model is deigned by using the quantum neural network. The PID control system is first constructed for the augmented system which is composed of the controlled object and the internal model. Simulation and experiment results show that the method outperforms the typical model-based approach despite its simplicity and it is therefore suitable to implement in distributed control system as well as in single-station controller.
Study on Enterprise Knowledge Management Based on Knowledge Grid
Authors: Zhou Zhi Ying , Jiang Xuan Wei
Published: May 2010

Knowledge management has entered into many organizations. However, because of the independent organizations' own hardware and software defects, knowledge management has no significant effect. Knowledge grid provides a strong foundation and a larger space for development of knowledge management. This paper discusses how knowledge grid can be applied into the enterprise knowledge management. From knowledge sharing and knowledge mining the paper builds the knowledge management architecture based on knowledge grid, which is expected to help the management systems and tools of large-scale enterprises’ informatization.
Research on Information Resources Management System Based on Domain Ontology
Authors: Chen Yan , Zhang Shu Dong
Published: May 2010

The domain ontology introduces a new theory and method into information resources management. This paper firstly analyzes the existing circumstances and questions of information resources management; then it discusses the relationship between the domain ontology and the information resources management and the former can have tremendous impact on the latter; finally it puts forward the domain ontology-based information resources management system architecture.
Personalized Intelligent Information Retrieval Entrance Mechanism
Authors: Zhang Shu Dong , Chen Yan , Gao Bei Bei
Published: May 2010

In order to solve the problems of difficulties and differences in expression existed in traditional information retrieval, this paper presents a personalized intelligent information retrieval entrance mechanism based on domain ontology, which takes full account of various types of users' domain knowledge level and provide relevant retrieval methods for guiding personalized information, makes all kinds of users in a particular query environment can fully and effectively express their queries intentions.
Study on the Architecture for Agricultural Products Quantity Security Early Warning System
Authors: Zhang Shu Dong , Yao N.M. , Qin Y.
Published: May 2010

The early warning system for agricultural products quantity security requires storing and analyzing massive agricultural data. These data is of huge amount, heterogeneous, and has a wide-ranging source, thus the system should have an effective data collection mechanism. Based on all these requirements, how to construct an efficient early warning system has become a primary problem. In this paper, we focused our research on the architecture of the early warning system, and divided the system into application system, data collection system, and persistence system. Then we put forward reasonable architecture for each of them based on Web service and data warehouse. Finally, we emphasized on the discussion on the process of acquiring data from ministries based on the use of Web service adaptation technology. The proposed architectures are with fine flexibility and robustness, so they could be effectively used on the construction of the early warning system.
Architecture of Highway Network Operation Monitoring and Emergency Management System
Authors: Zhang Ke , Liu Hao , Yuan Yuan , Zhang Xiao Liang , Sun Yu Xing
Published: May 2010

Highway network operation monitoring and Emergency Management is an innovation which is required by the development of practical highway management process. It targets to promote the whole highway management level and the ability of public service. Based on the analysis of highway management condition and problem in China, and the directive ideas of Ministry of Transport, this article provided a basic orientation of the Highway network operation monitoring and emergency management system, analyzed the functional service of the system and the logical architecture as well as physical architecture, provided the four-layer architecture of Highway network operation monitoring and emergency management centre, which is categorized as national, regional, provincial, and municipal levels. In addition, the thesis also analyzed the system construction operational mechanism, and the data sharing and updating mechanism. The mentioned discuss on the architecture of the Highway network operation monitoring and emergency management system is valuable to the standardization, extendibility, and the sustainability of system construction. Finally, the current works on this system in China are briefly introduced.
Towards Efficient Dimensionality Reduction for Evolving Bayesian Network Classifier
Authors: Wang Li Min , Li Xiong Fei , Wang Xue Cheng
Published: May 2010

Dimensionality reduction is useful for improving the performance of Bayesian networks. In this paper we suggest an effective method of modeling categorical and numerical variables of the mixed data with different Bayesian classifiers. Such an approach reduces output sensitivity to input changes by applying feature extraction and selection, and empirical studies on UCI benchmarking data show that our approach has clear advantages with respect to the classification accuracy.
An Improved Synthesized Decision Tree Algorithm and its Application
Authors: Qiu Jian Lin , Ji Dan , Gu Xiang , Li Fen , He Peng
Published: May 2010

Decision tree classification is one of the most widely-used methods in data mining which can provide useful decision-making analysis for users. But most of the decision tree methods have some efficiency bottle-necks and can only applied to small-scale datasets. In this paper, we present an new improved synthesized decision tree algorithm named CA which includes three important parts like dimension reduction, pre-clustering and decision tree method, and also give out its formalized specification. Through dimension reduction and synthesized pre-clustering methods, we can optimize the initial dataset and considerably reduce the decision tree’s input computation costs. We also improve the decision tree method by introducing parallel processing concept which can enhance its calculation precision and decision efficiency. This paper applies CA into maize seed breeding and analyzes its efficiency in every part comparing with original methods, and the results shows that CA algorithm is better.
Extension Rule Based Model Counting Using More Reasoning
Authors: Zhou Jun Ping , Zhou Chun Guang , Yin Ming Hao , Yang Hui
Published: May 2010

Extension rule is a new method for computing the number of models for a given propositional formula. In some sense, it is actually an inverse propositonal resolution. In order to improve counting performance, we introduce some reasoning rules into extension rule based model counting and present a new algorithm RCER which combines the extension rule and the reasoning rule together. The experiment results show that the algorithm not only occupies less space but also increases the efficiency for solving model counting.
Design and Implementation of Remote PSTN-Based Data Acquisition System
Authors: Lu Xiao Lin
Published: May 2010

The Data Acquisition Systems (DAS) are the basis for building monitoring tools that enable the supervision of local and remote systems. A variety of communications and data transmission system has been adopted DAS to exchange information. The special-purpose DAS has a very important practical value. This paper presents the circuit and system design for a new micro type of remote data acquisition system. It consists of an integrated circuit, a phone dialer, modulation devices, central processing unit, buttons, input devices and display devices. The system and circuit design has been described in detail. It can be used to transmit data through the public switched telephone network. It is suitable for constructing a mini scale communication network at low cost for data acquisition through the PSTN.
Composite Linkage Mapping Using Back-Propagation Artificial Neural Networks
Authors: Li Xue Bin , Yu Xiao Ling
Published: May 2010

With the completion of the HapMap project, largescale, high-density single-nucleotide polymorphism (SNP) markers and information on haplotype structure and frequencies become available. Although meta-analysis could combine the data by placing markers on a common genetic map and performing linkage analysis on the whole sample jointly, how to adjust the map distance of those markers with no crossover data sets in available databases is still an important problem. In this paper, back-propagation artificial neural network was be used to combine the linkage mapping. The results showed composite genetic map can be got after adjusted the small sample map distance curve with a criteria curve, a large sample size curve or a map got from meta-analysis, and the composite genetic map with more precise and dense markers could also be got using an appropriate networks trained with crossover marker data. The small genetic maps could also be spliced by using an appropriate networks trained with crossover marker data, the network structure with different hidden neurons was also very important for splicing the genetic maps from different literatures. The meta-analysis combining appropriate networks trained with crossover marker data was a good selection for composite mapping.
Research on Hierarchically Petri Nets Modeling Based on Emergency Plan Process Ontology
Authors: Du Lei , Wang Wen Jun , Dong Cun Xiang , Zhang Xian Kun , Gao Shan
Published: May 2010

An emergency plan process modeling method has proposed in order to improve the emergency response information systems semantics of the model. First, emergency plan process ontology is designed by using ABC model as upper ontology. And the levels of the relationship of emergency plan process ontology, meta-model and hierarchically Petri nets are researched, especially the mapping rules between ontology and Petri nets. Finally, the hierarchically Petri nets model of an emergency plan is established by using the modeling method.
BIBO Stabilization of Fuzzy Large-Scale Systems via State Feedback
Authors: Li Gui Hua , Yang Jun , Zhong Shou Ming
Published: May 2010

In this paper, the BIBO stabilization problem for a class of fuzzy large-scale systems is investigated. Based on the Lyapunov function and the LMI approach, sufficient conditions for the solvability of this problem are proposed in terms of LMIs, and an explicit expression of the desired controller is readily given when these LMIs are feasible.
Environmental Impact Analysis of Water Environment in Coal Mining Areas Based on Matter-Element Model
Authors: Wang Qi Liang , Wang Lei
Published: May 2010

In connection with the problems that coal mining accounts for water environment pollution and socio-economic development, the main factors was analyzed. From water environment system, ecological system and socio-economic system, corresponding evaluation index system was perfected and became fit for factual situation. Matter-element model of water environment impact evaluation was constructed and used to evaluate four large-scale coal mining areas. The results showed that assessment model in accordance with the objective reality. Compared with other evaluation models, matter-element model is more accurate and comprehensive. By matlab, a calculating program was made and can be dynamically amended.
Evaluation of Urban Comprehensive Competitiveness Based on FAHP
Authors: Liu Chun Feng , Hu Bao Min , Li Zi Biao
Published: May 2010

In 2009 from the comprehensive competitiveness comparison of nearly 300 cities on district level shown in "Chinese Urban Competitiveness Report", 12 competitivenesses of more than 50 major cities are evaluated by using econometric models, and Chinese most competitive top 10 cities of Year 2009 emerge. Since the city's comprehensive competitiveness ranges many indexes which are difficult to quantify and various best programs with fuzziness, the fuzzy analytic hierarchy process (FAHP) is relatively more scientific and objective. This paper presents Mathematica program which use fuzzy analytic hierarchy process to evaluate the the city's comprehensive competitiveness, and the practicability of FAHP presented in this paper may provide the reference to the researchers in the field.
A Study of Association Rules Mining Algorithms Based on Adaptive Support
Authors: He Yue Shun , Du Ping
Published: May 2010

This paper presents an adaptive support for Boolean algorithm for mining association rules, the Algorithm does not require minimum support from outside, in the mining process of the algorithm will be based on user needs the minimum number of rules automatically adjust the scope of support to produce the specific number of rules, the algorithm number of rules for the user needs to generate the rules to a certain extent, reduce excavation time, avoid the artificial blindness specified minimum support. In addition, the core of the algorithm is using an efficient method of Boolean-type mining, using the logical OR, AND, and XOR operations to generate association rules, to avoided the candidate itemsets generated In the mining process, and only need to scan the database once, so the algorithm has a certain efficiency.
Optimization Simulation Design of Sign Intersection Control
Authors: Luo Yong , Sui Yan Fei
Published: May 2010

This project has operated the traffic survey, collected and analyzed the data， found the congestion of the road and optimized it, alleviated the congestion, evacuated the traffic jams. Taking real intersection as example， this paper records the traffic flow and timing control, analyzes traffic condition. At the last, this study simulates the traffic operation status under the present condition with traffic simulation software VISSIM and improves the signal timing.
A Study on the Flow Behavior of 42CrMo Steel under Hot Compression by Thermal Physical Simulations
Authors: Tong Ying , Quan Guo Zheng , Luo Gang , Zhou Jie
Published: May 2010

This work was focused on the compressive deformation behavior of 42CrMo steel at temperatures from 1123K to 1348K and strain rates from 0.01s-1 to 10s-1 on a Gleeble-1500 thermo-simulation machine. The true stress-strain curves tested exhibit peak stresses at small strains, after them the flow stresses decrease monotonically until high strains, showing a dynamic flow softening. And the stress level decreases with increasing deformation temperature and decreasing strain rate. The values of strain hardening exponent n, and the strain rate sensitivity exponent m were calculated the method of multiple linear regression, the results show that the two material parameters are not constants, but changes with temperature and strain rate. Then the two variable material parameters were introduced into Fields-Backofen equation amended. Thus the constitutive mechanical discription of 42CrMo steel which can accurately describe the relationships among flow stress, temperature, strain rate, strain offers the basic model for plastic forming process simulation.
Fast Computing Scheme for AGV Obstacle Distance Measure and Road Recognition
Authors: Chen Tian Ding
Published: May 2010

Automatic obstacle avoidance and road detection for the Automation Guiding Vehicle (AGV) need to calculate the distance, object shape parameter. This paper presents a new obstacle distance calculating method based on monocular vision. Through scene in the two different images corresponding feature points are accurately matched, according two different video frame images disparity to compute distance between AGV and obstacle. In order to accurately find feature points, this paper uses a detection algorithm based on Harris corner, combines epipolar constraint and disparity gradient for image matching. These steps accelerate measure computing results. The basis of known structural characteristics of the road presents a road image morphology algorithm to filter road image noise, combines fast threshold algorithm to achieve a set of structured road recognition guiding system. Experimental results show that the detection method can correctly recognize the structured road of interference with certain obstacle, and achieve a visual robot guiding system.
Research on the Interactive Transmission Mechanism of House Price in China - Based on a Mixed VAR Model
Authors: Xu Jin Qiu
Published: May 2010

In order to study the interactive relationships between house price with marc-economy in China and reveal the transmission mechanism, this paper specifies a six dimensional VAR model to identify the forces driving house prices fluctuations in China over the period 1999-2009. By employing quarterly time series for real house prices, gross domestic product, money, consumer price index, market capitalization of tradable shares and labor remuneration of persons employed in all units, the author found that: (1) there is a stable and significant relationship of mutual causality between house price with these three factors including GDP, M2, CPI. (2) house price is quickly responses to the growth or falling of market capitalization of tradable shares .in other words ,it is a single causal relationship between them (3) There is not a significant causal relation between house price with labor remuneration .It may appear surprising. Yet this phenomenon accurately reflects the real estate bubble today. This paper deeply study the transmission mechanism of house price.
View Loops Separation from Engineering Drawings Based on Multi-Granularity Information Acquisition
Authors: Liu Jian Ping , Ye Bang Yan , Peng Jian Xi
Published: May 2010

To improve the validity and efficiency of feature recognition for 3D reconstruction from engineering drawings, this paper presents a new method of view loops separation based on multi-granularity information acquisition. By analyzing the line-frames of combined primitive views and hidden semantics in engineering drawing, combined relationship of graphics primitives can be identified, then applies line-frames partition method of figuration analysis, view loop separation of individual primitive is realized by inertial loop search with pre-set priority. This algorithm is actualized in AutoCAD 2008 platform with development tools of Object ARX2008 and Visual C#2.0. With this algorithm, an application module of 3D intelligent reconstruction system is developed and finally the validity of this research is verified by examples.
Study on Three Dimensional Digital Information Platform for Remote Control and Monitoring System of Shearer
Authors: Sun Hai Bo , Duan Xiong , Yao Xin Gang , Tan Chao
Published: May 2010

An improved progressive mesh simplification algorithm for 3D real-time level of detail rendering of shearer based on half-collapse was proposed, which has been successfully applied in the rendering of shearer and produced a good result. Virtools with its secondary development technology SDK (Software Development Kit) was applied to establishing a 3DVR(Three Dimensional Virtual Reality) digital information platform for shearer based on real-time archiving of important working parameters. By using the real-time data provided by the remote control and monitoring system for shearer, the virtual 3D model was driven to reappearance the working state and changing trend of the real one instantly. Preliminary experiments carried out in Xi’an Coal Mine Machinery Factory show that the 3DVR Digital Platform can be integrated with the remote control system for shearer well. The ability to real-time display of shearer’s working state is better than that in traditional ways, for the information is displayed in the form of data and curve in traditional control and monitoring system for shearer, which is unrealistic to the operator and unsuitable for remote control and monitoring.
Design and Application of Improved PDF Controller in Higher-Order System
Authors: Liu Ya Qiu , Wu Qu , Zhu Liang Kuan
Published: May 2010

This article focuses on improving PDF (Pseudo Derivative Feedback) controller and employing it in electro-hydraulic position servo system of pump-controlled cylinder. Based on PDF theory, the derivative controller has been improved according to zero-placement theory. System’s stability has been analyzed. Moreover, the improved PDF is compared to 1DF PID and traditional PDF through simulation using an approximated dynamic system model of a higher-order hydraulic system, which consists of PLC, digital valve, hydraulic cylinder and optical sensor. The results show that the improved PDF controller provides satisfactory control performance on contrast with 1DF PID control strategy and traditional PDF controller in hydraulic system.