Abstract The study about the swarm-robot system is one of the most important directions of multitudinous robots system. It is an extraordinary challenged issue which how to communicate with each swarm-robot to cooperate together to accomplish a mission in numerous units. The swarm-robot system, which is based on CC2510 wireless sensor network, with the Radio Frequency of FHSS as the communication... The study about the swarm-robot system is one of the most important directions of multitudinous robots system. It is an extraordinary challenged issue which how to communicate with each swarm-robot to cooperate together to accomplish a mission in numerous units. The swarm-robot system, which is based on CC2510 wireless sensor network, with the Radio Frequency of FHSS as the communication mode, has realized the swarm-robot unit sensor organ information coordination alternately fleet that improving the stability, interference immunity and transferability. The coordinating scheme possesses availability and practicability has been proved. Read More Read Less

Abstract Correctly and effectively customer classification according to their characteristics and behaviors will be the most important resource for electronic marketing and online trading of network enterprises. A new customer classification algorithm for electronic commerce enterprises is advanced based on analyzing customer characteristics and behaviors. First, based on consumer characteristics and behavior analysis, 21 customer classification indicators, including customer characteristics type... Correctly and effectively customer classification according to their characteristics and behaviors will be the most important resource for electronic marketing and online trading of network enterprises. A new customer classification algorithm for electronic commerce enterprises is advanced based on analyzing customer characteristics and behaviors. First, based on consumer characteristics and behavior analysis, 21 customer classification indicators, including customer characteristics type variables and customer behavior type variables, are designed, Second, aiming at the shortages of the existing BP neural network algorithm of data-mining for customer classification, the immune-genetic algorithm is used to correct BP neural network to speed up the convergence of the model. Finally the experimental results verify that the new algorithm can improve customer classification accuracy and can guarantee the effectiveness and validity of customer classification for electronic commerce enterprises in its engineering application. Read More Read Less

Abstract This article proposes a Distributed Realtime Fault-tolerant model, priority Real-time Fault-tolerant algorithm and computational architecture of Distributed Real-time Fault-tolerant. According to this model, the problem of how to schedule a weighted Directed Acyclic Graph (DAG) in Distributed computing system for high reliability can be solved in the presence of multiprocessors faults. When some tasks in a DAG have dependence on... This article proposes a Distributed Realtime Fault-tolerant model, priority Real-time Fault-tolerant algorithm and computational architecture of Distributed Real-time Fault-tolerant. According to this model, the problem of how to schedule a weighted Directed Acyclic Graph (DAG) in Distributed computing system for high reliability can be solved in the presence of multiprocessors faults. When some tasks in a DAG have dependence on each other, a task must be scheduled to make sure that maximum communication efficiency and high reliability can be guaranteed due to a processor failure. Firstly, this paper propose task model, communication model and reliability model for evaluating fault-tolerant performance of the system, and define the priority of a task so that a critical task is defined as one with the highest priority. To add some constrained conditions that do not influence the earliest start time of its successors in the process of scheduling task, The Distributed Realtime Fault-tolerant Scheduling Algorithm (DRFACS) targets maximizing reliability to dynamically schedule dependent, non-preemptive, non-periodic real-time tasks to improve the quality of service through scheduling in the case of arising massive resource failures. Finally, Experimental results demonstrate the feasibility of the proposed algorithm. Read More Read Less

Abstract With the development of ubiquitous information environment in metallurgical industry, driving type of metallurgical equipment systems is changing from energy-driven to information-driven. The problems of the metallurgical equipment information communication path intelligent planning are taken as the research object. Based on the cellular automata theory, the integrated framework of metallurgical equipment information space is built. Information communication path intelligent planning... With the development of ubiquitous information environment in metallurgical industry, driving type of metallurgical equipment systems is changing from energy-driven to information-driven. The problems of the metallurgical equipment information communication path intelligent planning are taken as the research object. Based on the cellular automata theory, the integrated framework of metallurgical equipment information space is built. Information communication path intelligent planning method of metallurgical equipment based on ant colony algorithm is explored. The practicality and effectiveness of the divided information spaces and designed algorithms are verified by simulation, which provides theoretical support to enhance the level of metallurgical equipment. Read More Read Less

Abstract For the characteristics of large number, fast change, high cost of random access of data stream, this paper proposes a Bayesian classification data mining algorithm based on incremental storage tree to handle the problems. Use sliding window to process data stream and divide it into several basic units, apply Principal component analysis (PCA) to compress the data from window and... For the characteristics of large number, fast change, high cost of random access of data stream, this paper proposes a Bayesian classification data mining algorithm based on incremental storage tree to handle the problems. Use sliding window to process data stream and divide it into several basic units, apply Principal component analysis (PCA) to compress the data from window and produce dynamic incremental storage tree, use the second power strategy to continuously update several incremental storage tree. Then use multi-classifier integration technology combines with Bayesian classification to produce Bayesian classifier. At last, adjust the weight of classifier by cyclic test, and get high classification accuracy. Detailed simulation analysis demonstrates that the presented algorithm is of high efficiency of space and time and is more stable. Read More Read Less

Abstract Such problems are often encountered in engineering designs: drawing moving targets orbits, however either there is no analytical formula of the orbit equation, or the derivation of getting a track equation is cumbersome; designing size of an equipment requires solving a complex transcendental equation. In order to address these matters, here were cited three instances, plotting the trajectory of a... Such problems are often encountered in engineering designs: drawing moving targets orbits, however either there is no analytical formula of the orbit equation, or the derivation of getting a track equation is cumbersome; designing size of an equipment requires solving a complex transcendental equation. In order to address these matters, here were cited three instances, plotting the trajectory of a charged particle in a non-uniform magnetic field; drawing the spacecraft's orbit; designing the central axis size of an electrostatic precipitator cylinder. Through introduction of numerical calculation, the derivations of the orbits equations were avoided and the trajectories of a charged particle and the spacecraft were plotted respectively; solution of transcendental equation was found and the required dimension of an electrostatic precipitator cylinder in the design was got. So the numerical calculation plays a huge supporting role in engineering design. Read More Read Less

Abstract Today's companies are increasingly being challenged to develop platform-based product families to increase variety of products, while keeping production costs low. In order to provide effective platform-based method and systematically analyzing the customer needs on product design, the functional requirements are classified into basic functional requirements, expectable functional requirements and adjunctive functional requirements. Axiomatic design theory was applied to zigzagging... Today's companies are increasingly being challenged to develop platform-based product families to increase variety of products, while keeping production costs low. In order to provide effective platform-based method and systematically analyzing the customer needs on product design, the functional requirements are classified into basic functional requirements, expectable functional requirements and adjunctive functional requirements. Axiomatic design theory was applied to zigzagging mapping between functional requirements and design parameters, and a new decomposition method to link design matrix and design structure matrix was proposed based on the functional requirements. The common parameters were determined through analyzing the sensitivity of functional requirements to design parameters and the relation degree among design parameters. By way of illustration, a family of drum brake was designed and its results demonstrated the effectiveness and practical value of the method. Read More Read Less

Abstract The air compressor plays an extremely important role in the production of air separation. It provides the required specifications of compressed air for the follow-up air separation processes. It is difficult for an air compressor system to achieve the on-site production requirements because it is a time-varying, delay and nonlinear complex system. Articles for air compressor control system designed air... The air compressor plays an extremely important role in the production of air separation. It provides the required specifications of compressed air for the follow-up air separation processes. It is difficult for an air compressor system to achieve the on-site production requirements because it is a time-varying, delay and nonlinear complex system. Articles for air compressor control system designed air compressor controller based on fuzzy control provided details of air compressor control strategies. The simulation experiments results showed that air compressor control requirements can be completed very well by controllers. Read More Read Less

Abstract Cloud computing has become a hot technology. The virtualization technology, one of its core support technologies, is also developing quickly. In recent years, a lot of research and practice have been done in the virtualization field. Live virtual machine migration has drawn much attention as a representative technology of the virtualization field. This paper summarizes the research progress of live... Cloud computing has become a hot technology. The virtualization technology, one of its core support technologies, is also developing quickly. In recent years, a lot of research and practice have been done in the virtualization field. Live virtual machine migration has drawn much attention as a representative technology of the virtualization field. This paper summarizes the research progress of live virtual machine migration technology including pre-copy, post-copy and CR/TR-Motion analyzes the future research trend. Read More Read Less

Abstract he university teachers performance appraisals model decides the development of scientific research. And a set of scientific, reasonable and comprehensive model is the premise and foundation to evaluate it. First, this article analyses the domestic and foreign university teachers' performance appraisals model. Second, it combines the current teachers' performance appraisals theory and practice research, and discusses the questionnaire suitable for... he university teachers performance appraisals model decides the development of scientific research. And a set of scientific, reasonable and comprehensive model is the premise and foundation to evaluate it. First, this article analyses the domestic and foreign university teachers' performance appraisals model. Second, it combines the current teachers' performance appraisals theory and practice research, and discusses the questionnaire suitable for the university teachers' performance appraisals model in our country. Third, through the questionnaire data analysis, the paper uses factor-analysis-method to screen indexes. Fourth, the paper uses AHP method and calculates the index weights for all levels. Finally, the paper establishes the university teachers' performance appraisals index model based on DEA. Read More Read Less

Abstract The rural financial organization plays an important role in promoting the healthy development of the national economy especially the development of the rural economy. However, the rural financial organization risk especially the operating risk is still an outstanding problem. It has become a big obstacle in new countryside development. In this paper we analyzes the rural financial organization operational risk... The rural financial organization plays an important role in promoting the healthy development of the national economy especially the development of the rural economy. However, the rural financial organization risk especially the operating risk is still an outstanding problem. It has become a big obstacle in new countryside development. In this paper we analyzes the rural financial organization operational risk index firstly, then use these index as the input data for the BP neural network. After that we modeling rural financial organization operational risk early warning based the BP neural network. At last we take an experiment on a rural somewhere, the result shows that the BP neural network can reflect of the operation risk of the rural financial organization quickly and accurately. Read More Read Less