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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1643 条记录，以下是1271-1280 订阅

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3D Aided Design Solution for Integrated Pipe network of Subway Station

3D Aided Design Solution for Integrated Pipe Network of Subw...

引用

3rd International conference on Green Building, Materials and Civil Engineering (GBMCE 2013)

作者： Zhang Yong Wang Qiankun Bin Chen Wuhan Univ Technol Sch Civil Engn & Architecture Wuhan Peoples R China

ISBN: (纸本)9783037857922

Based on analysis of problems existing in the design process of integrated pip network, the authors put forward the aided design method of converting 2D design drawings to 3D visualization model. Based on the 3D aided design workflow, the solution of 3D aided design is proposed, the kernel contains include: making drawing standard and development of the plug-in, selection and secondary development of 3D platform, report of conflict analysis and optimization design. The key analysis technique is discussed in the end of this paper.

关键词： 3D Aided Design integrated pipe network solution subway station

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Multi-model Predictive control with Kalman Filter on DC/DC Converter

Multi-model Predictive Control with Kalman Filter on DC/DC C...

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3rd International conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM 2013)

作者： Zeng, Chen Zhang, Liyan Zeng, Linghui Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Province Peoples R China Wuhan Vocat Coll Software & Engn Wuhan 430205 Hubei Peoples R China

ISBN: (纸本)9783037858462

In this paper, a new kind of Multi-model Predictive controller (MMPC) is presented. Multiple models switch MINI:PC with Kalman filter based on neural network optimization was implemented in a DC/DC converter. Multiple models direct switch was used according to the two modes of the Boost-Buck circuit and different loads condition. Kalman filter was successfully added to the MMPC to transfer the optimal state value to MMPC from the output of the DC/DC circuit. Parameters optimization method is also discussed in the paper when the controller was applied to real model simulation. Simulation result demonstrates that the good performance of MMPC compared with single model predictive control and PM control. With the help of high speed FPGA, it is possible to apply this method to hardware simulation.

关键词： Multi-model Predictive controller Kalman Filter DC/DC converter Simulation

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PSO-based Trust QoS Routing Algorithm for Wireless Sensor networks

PSO-based Trust QoS Routing Algorithm for Wireless Sensor Ne...

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3rd International conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM 2013)

作者： Wang, Junwei Wei, Yongtao Northeastern Univ Qinhuangdao Dept Control Engn Qinhuangdao Hebei Province Peoples R China

ISBN: (纸本)9783037858462

The existing routing algorithm of Wireless Sensor networks (WSNs) pays more attention to the energy efficient. However, Quality of Service (QoS) supported and the validity of packet transmission unveil additional challenges. Based on the Particle Swarm optimization (PSO), this paper presents a trust QoS routing algorithm for WSNs. Hierarchical structure is adopted and the trust value of the node is constructed with the direct trust value and the indirect trust value. In addition, delivery delay and packet loss are considered as main QoS metrics. Finally, under the optimization ability of PSO, the proposed algorithm tries to find the route with maximum residual energy and reliability in order to maximize network utilization as well as meets QoS constraints. Compared to typical routing algorithms in sensor networks, this new algorithm has better performance.

关键词： Wireless sensor networks trust routing QoS PSO energy efficient

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optimization of the hydraulic control system utilizing BP neural network control strategy based on genetic algorithm

Optimization of the hydraulic control system utilizing BP ne...

引用

3rd International conference on Advanced Design and Manufacturing Engineering (ADME 2013)

作者： Feng Ying-Ying Hui Nan-Mu Luo Zong-An Zhang Dian-Hua Northeastern Univ State Key Lab Rolling Technol & Automat Shenyang 110004 Liaoning Peoples R China Northeastern Univ Sch Informat Sci & Engn Shenyang 110004 Liaoning Peoples R China

ISBN: (纸本)9783037858431

For the characteristic of the MMS series Thermo-Mechanical Simulator hydraulic control system, using traditional PID control method can not achieve the desired control effect. Basing on genetic algorithm, BP neural network, which has the arbitrary non-linear approximation ability, self-learning ability and generalization ability, has been used into the hydraulic control system to achieve the online adjustment of the weighting coefficients and the adaptive adjustment of PID control parameters. The results of simulation and online tests show that the control effect of hydraulic system has been improved significantly, and the accurate control of hydraulic system hammer displacement has been realized.

关键词： Hydraulic control system Genetic algorithms BP neural network Simulation Online test

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The system design of granular bulk materials continuous conveyor weighing measurement

The system design of granular bulk materials continuous conv...

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3rd International conference on Mechanical Engineering, Industry and Manufacturing Engineering (MEIME 2013)

作者： Zhu, Jingfei Xu, Shaojie Li, Yongwei Hebei Sci Univ Sci & Technol Coll Elect Engn & Informat Sci Shijiazhuang Hebei 050018 Peoples R China

ISBN: (纸本)9783037857793

For continuous transportation of granular bulk materials measurement and weighing is important link in industrial and agricultural production, warehousing and product flows. Improve said heavy of precision and speed is the key of dynamic measurement, and traditional for the continuous delivery of materials weighing system can not meet the requirements of quickly weighed and measured accurately, while sometimes variable, and nonlinear and random, factors in actual process in the of interference, in order to overcome these factors on continuous conveying material measurement system of effect, this article based on RBF Neural network model for foundation made a dynamic clustering algorithm optimization *** means algorithm calculated the center of the base function, further extended RBF Neural network constants from hidden layer to output layer, then using least-squares method calculates the weight matrix to determine the final network structure and main parameters. This article on measurement of dynamic process has simulation test research, and BP neural network for effect comparison, simulation results indicates that, based on RBF of neural network on continuous conveying bulk material measurement control system is more effective, and weighing accuracy and speed is improved, in order to achieve the continuous delivery of materials weighing process optimization control, and at the same time provides an effective way to solve the existing problems of this type of system.

关键词： dynamic weighing RBF neural network dynamic clustering extended matrix

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Research on a sensor network communication optimization algorithm

Research on a sensor network communication optimization algo...

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3rd International conference on Materials Science and Information Technology, MSIT 2013

作者： Shi, Yan Jie Yu, Li Na Hebei College of Industry and Technology Shijiazhuang Hebei 050000 China

ISBN: (纸本)9783037857700

The peripheral malfunction will cause the nodes fail to work when there is no central control node in the large scale sensor network. The network can't guarantee the continuity of the communication and service and the communication efficiency will be low in this situation. In order to fix the issue, the paper proposes a correcting fusion algorithm for the sensor network data communication. When the collision of the communication data happens in the sensor network due to the failure of the nodes, the correcting fusion algorithm can ensure the effective data fusion between the fault nodes and other nodes to guarantee the communication to the maximum extent. The experiment indicates the algorithm can increase the efficiency of the sensor network to achieve the satisfactory results. © (2013) Trans Tech Publications, Switzerland.

关键词： Sensor nodes

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SOM and PSO Based Alerts Clustering in Intrusion Detection System

SOM and PSO Based Alerts Clustering in Intrusion Detection S...

引用

3rd International conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM 2013)

作者： Jing Yongwen Li Lifen North China Elect Power Univ Baoding Hebei Peoples R China

ISBN: (纸本)9783037858462

With the growing deployment of host and network intrusion detection systems (IDSs), thousands of alerts are generally generated from them per day. Managing these alerts becomes critically important. In this paper, a hybrid alert clustering method based on self-Organizing maps (SOM) and particle swarm optimization (PSO) is presented. We firstly select the important features through binary particle swarm optimization (BPSO) and mutual information (MI) and get a dimension reduced dataset. SOM is used to cluster the dataset. PSO is used to evolve the weights for SOM to improve the clustering result. The algorithm is based on a type of unsupervised machine learning algorithm that infers relationships from data without the need to train the algorithm with expertly labelled data. The approach is validated using the 2000 DARPA intrusion detection datasets and comparative results between the canonical SOM and our scheme are presented.

关键词： feature subset selection alerts clustering self organizing maps particle swarm optimization

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An location-routing problem with simultaneous pickup and delivery in urban-rural dual-directions logistics network

An location-routing problem with simultaneous pickup and del...

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3rd International conference on Materials Science and Information Technology, MSIT 2013

作者： Wang, Xue Feng Research Center of Cluster and Enterprise Development School of Business and Management Jiangxi Finance and Economics University Nanchang China

ISBN: (纸本)9783037857700

The design and optimization of urban-rural dual-directions logistics network is a substantial important issue, which will directly affect the development of the urban-rural integration in China. A reasonable scheme of logistics network will contribute to supply efficient logistics services to customers scattering in urban and rural areas. In this paper, we consider a variant of the Location-Routing-Problem (LRP), namely the LRP with simultaneous pickup and delivery in specially background (LRPSB). The objective of LRPSB is to minimize the total system cost, including depot location cost and vehicle routing cost, and implement and control the effective dual-direct commodity flow to meet customers' requirement by simultaneously locating the depots and designing the vehicle routes that satisfy pickup and delivery demand of customer at the same time. A nonlinear mixed integrated programming model is formulated for the problem. Since such integrated logistics network design problems belong to a class of NP-hard problems, we propose a two-phase heuristic approach based on Tabu Search, tp-TS, to solve the large size problem and an initialization procedure to generate an initial solution for the tp-TS. We then empirically evaluate the strengths of the proposed formulations with respect to their ability to find optimal solutions or strong lower bounds, and investigate the effectiveness of the proposed heuristic approach. Computational results show that the proposed heuristic approach is computationally efficient in finding good quality solutions for the LRPSB. © (2013) Trans Tech Publications, Switzerland.

关键词： Tabu search

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Application of ANSYS in Grid Structure

Application of ANSYS in Grid Structure

引用

3rd International conference on Frontiers of Manufacturing and Design Science (ICFMD 2012)

作者： Chen, Hongjiang Wu, YueHai Jiangxi Normal Univ Sci & Technol China Vocat Tech Coll Nanchang Peoples R China Shanghai ABB Engn Co Ltd Robot Ind Dept Beijing Peoples R China

ISBN: (纸本)9783037855782

Space grid structure of modem large span structure engineering in the most commonly used structure form. This paper used ANSYS network space truss finite element analysis, discuss the element type, and the selection of material models, and the definition of the limit stress, when necessary, even considering the bar buckling state ( buckling). Under various load (permanent loads, wind loads, seismic loads, under the action of gravity), using the powerful finite element analysis software ANSYS on the structure static analysis, after the use of ANSYS powerful optimization design function, the structure safety, the bar section optimization design, and then on the basis of the existing rod a cross section, a reasonable choice of bar section, reduce the material consumption, to achieve the best economic, reasonable design, implementation can develop continuously, make the satisfactory design.

关键词： Ansys optimization design Finite Element method Grid

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Short-time traffic flow prediction method based on universal organic computing architecture

Short-time traffic flow prediction method based on universal...

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3rd International conference on Materials Science and Information Technology, MSIT 2013

作者： Nie, Shu Zhi Zhong, Yan Hua Hu, Ming Depart. of Electronics and Information Technology Jiangmen Polytechnic Jiangmen China

ISBN: (纸本)9783037857700

Designed a DNA-based genetic algorithm under the universal architecture of organic computing, combined particle swarm optimization algorithm, introduced a crossover operation for the particle location, can interfere with the particles' speed, make inert particles escape the local optimum points, enhanced PSO algorithm's ability to get rid of local extreme point. Utilized improved algorithms to train the RBF neural network models, predict short-time traffic flow of a region intelligent traffic control. Simulation and error analysis of experimental results showed that, the designed algorithms can accurately forecast short-time traffic flow of the regional intelligent transportation control, forecasting effects is better, can be effectively applied to actual traffic engineering. © (2013) Trans Tech Publications, Switzerland.

关键词： Neural network models

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