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

共 1644 条记录，以下是1181-1190 订阅

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Maximizing Lifetime of a Mobile Ad Hoc network Using Energy Efficient Routing 3

Maximizing Lifetime of a Mobile Ad Hoc Network Using Energy ...

引用

International conference on Reliability, Infocom Technologies and optimization (ICRITO) (Trends and Future Directions)

作者： Sharma, Divya Kush, Ashwani Madkan, Pooja ITMU Dept CSE IT Gurgaon Haryana India Kurukshetra Univ Univ Coll Dept CSE Kurukshetra Haryana India Amity Univ Dept CSE Noida Uttar Pradesh India

ISBN: (纸本)9781479968961

The contemporary tendency in a mobile wireless ad hoc network routing is that the selection of path is dynamic i.e., the routes are portrayed as and when needed. Many routing protocols already are in this group which don't make use of the multiple alternate paths available. This system uses the concept of the Power responsiveness for the route selection by assessing the energy status of an individual node in the network topology which not only makes sure of the fast route selection but also with minimal efforts and a swift recovery. This new system ascertains the multi-paths without the transfer of any new control message. It also deals with a swift adjustment to ever-changing linking, dispersed processing, memory overhead, low processing and the loop avoidance. The scheme is brought in with an already existing AODV protocol and through the simulation, performance has been verified.

关键词： Ad hoc networks alternate or multiple paths power consumption power factor and routing

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Estimation of aerodynamic derivatives using neural network based method

Estimation of aerodynamic derivatives using neural network b...

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3rd International conference on Advances in control and optimization of Dynamical Systems, ACODS 2014

作者： Kumar, Rakesh Ghosh, A.K. Department of Aerospace Engineering PEC University of Technology Chandigarh India Department of Aerospace Engineering IIT Kanpur India

ISBN: (纸本)9783902823601

The paper presents the estimation of lateral-directional aerodynamic derivatives (parameters) using neural based method from real flight data of Hansa-3 aircraft. The conventional methods such as Least Squares (LS) & Maximum Likelihood (ML) require exact model postulation whereas the neural-based method such as Neural-Gauss-Newton (NGN) is an algorithm that utilizes Feed Forward Neural network & Gauss-Newton optimization to estimate the parameters and does not require a priori postulation of mathematical model or solution of equations of motion. The results obtained in terms of lateral-directional aerodynamic parameters were reasonably accurate to establish NGN with an additional advantage of non-requirement of a priori mathematical model. © 2014 IFAC.

关键词： Parameter estimation

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Research on Agriculture Reactive Power optimization control based on DSP

Research on Agriculture Reactive Power Optimization Control ...

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3rd International conference on Green Power, Materials and Manufacturing Technology and Applications

作者： Yang, Xu North China Elect Power Univ Baoding Hebei 071000 Peoples R China

ISBN: (纸本)9783037859865

Article systematic analysis of rural power grid situation, use of existing data resources and distribution lines to achieve the level of automation for reactive power optimization, operation optimization and concrete implementation. Papers able to give a complete, scientific and reasonable reactive power optimization. While article takes DSP2812 as core to developed reactive power compensation controller, to achieve the reactive power compensation, power distribution network detection information, and send messages via GPRS, remote control compensation capacitors. Configuration parameter has a flexible, reliable, convenient and practical features.

关键词： Intelligent Rural Power Grid Reactive Power Planning And optimization Reactive Power Operation optimization DSP Technology

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optimization of assigned Power and Bandwidth in Macro-Femto Cellular System using Geometric Programming 3

Optimization of assigned Power and Bandwidth in Macro-Femto ...

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3rd International conference on Connected Vehicles and Expo (ICCVE)

作者： Ademaj, Fjolla Krasniqi, Bujar Vienna Univ Technol Inst Telecommun Vienna Austria Univ Prishtina Fac Elect & Comp Engn Prishtina Kosovo

ISBN: (纸本)9781479967292

Femtocells are used to increase indoor coverage and network capacity of traditional macro BS deployments. Interference is key performance limiting factor in such heterogeneous mobile networks. In order to minimize the interference between macro-and femto base stations, we use a constrained optimization technique to optimally allocate bandwidth and power to macrocell and femtocell UEs. Matlab's CVX library is used to solve the optimization problem. Depending on the UEs' position from their serving base station (macro or femto) and their demand for higher data rates than minimum requirement data rate, the optimal power and bandwidth is assigned to each base station.

关键词： Base stations

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3rd International conference on Theory and Practice of Natural Computing, TPNC 2014

3rd International Conference on Theory and Practice of Natur...

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3rd International conference on the Theory and Practice of Natural Computing, TPNC 2014

ISBN: (纸本)9783319137483

The proceedings contain 22 papers. The special focus in this conference is on Theory and Practice of Natural Computing. The topics include: Multi-noisy-objective optimization based on prediction of worst-case performance;generalization in maze navigation using grammatical evolution and novelty search;comparing the optimization behaviour of heuristics with topology based visualization;detecting symmetry in cellular automata generated patterns using swarm intelligence;design of a minimal system for self-replication of rectangular patterns of DNA tiles;unconditionally secure quantum bit commitment protocol based on incomplete information;quantum and reversible verification of proofs using constant memory space;solving 2D-pattern matching with networks of picture processors;inferring multiobjective phylogenetic hypotheses by using a parallel indicator-based evolutionary algorithm and model predictive control of linear parameter varying systems based on a recurrent neural network.

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An Efficient Technique to control Road Traffic Using Fuzzy Neural network System 3

An Efficient Technique to Control Road Traffic Using Fuzzy N...

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International conference on Reliability, Infocom Technologies and optimization (ICRITO) (Trends and Future Directions)

作者： Aggarwal, Apoorva Purwar, Archana Gulati, Shubham Jaypee Inst Informat & Technol Dept Comp Sci & Engn Noida India

ISBN: (纸本)9781479968961

Conventional road traffic controlling systems are dependent on human operators for most of the decisions. Such human operators have experienced a wide variety of incidents and traffic congestions. But even the most experienced operators fail to control traffic efficiently during non-recurrent situations. Non-recurrent situation is a situation which has not been seen earlier by a human operator prior to its occurrence. controlling traffic flow in such a situation is a complex task as it demands quick reaction and expert knowledge. This paper proposes a novel and efficient approach to control traffic flow in non-recurrent traffic situations. The proposed approach uses multiple techniques, most of which are borrowed from Soft Computing such as, NN (Neural network), FL (Fuzzy Logic) and GA (Genetic Algorithm). This approach involves clustering imprecise data, in the form of Gaussian mixtures, into fuzzy sets using Expectation Maximization algorithm. The approach also includes minimizing the initial population of chromosomes in Genetic algorithm using a novel algorithm. The proposed algorithm used in identification of valid rules for fuzzy system reduces space and time complexity of the process. The proposed approach has been validated using METANET.

关键词： road traffic control non-recurrent traffic congestion Soft computing Fuzzy system Genetic algorithm data clustering Expectation maximization Gaussian mixture

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Study on Fuzzy PI control Strategies of networked control System

Study on Fuzzy PI Control Strategies of Networked Control Sy...

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3rd International conference on Energy, Environment and Sustainable Development (EESD 2013)

作者： Xue, Hua Fan, Yue Shanghai Univ Elect Power Shanghai Peoples R China

ISBN: (纸本)9783037859728

When using a remote networked control system, a network-induced time-delay is generated, which causes advert effects on the closed-loop networked control system such as performance degradation and system destabilization. For solving the time-delay in remote control system, intelligent fuzzy logic compensator is introduced in this paper to improve the traditional networked PI control system. In the full adaptive fuzzy parameter adjustment, off-line optimization and on-line adaptation are applied to the design of the controller, So that the consequent parameters can be tuned adaptively, As well as the membership functions in the antecedent part Simulation results of a networked controlled Brushless DC motor is used to illustrate the effectiveness and feasibility of the proposed fuzzy PI control scheme.

关键词： remote networked motion control system fuzzy PI synthesis control time-delay compensation

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Energy Efficient Relay Assisted Wireless Multicast System

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3rd International conference on Machinery Electronics and control Engineering (ICMECE 2013)

作者： Jiang, Tingsong Luan, Xi Xu, Xiaoyan Wu, Jianjun Peking Univ Inst Adv Commun Beijing 100871 Peoples R China

ISBN: (纸本)9783037859032

In this paper, the optimization based on energy efficiency in a relay assisted wireless multicast system, where a single source communicates with multiple destinations with the help of an amplify-and-forward relay, is proposed. We assume that the source cannot reach the destinations directly, and thus the relay forwards the signal in two hops. Under the performance objective of maximizing the number of bits that the source sends to all destinations per Joule of the total energy spent, we formulate the optimization problem based on high SNR approximation, and prove that the problem can be extended to a standard Geometric Programming (GP) problem, which is a well-studied class of nonlinear and nonconvex optimization and has regular solutions. Finally, we provide a set of numerical results to illustrate energy efficiency corresponding to different channel conditions.

关键词： Energy efficiency multicast two-hop network geometric programming

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The optimization of equipment polling strategy in intelligent substation control system

The optimization of equipment polling strategy in intelligen...

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3rd International conference on Energy Materials and Material Application, EMMA 2014

作者： Hu, Chun Chao Ma, Kai Cao, Li Juan Hou, Ai Jun Cui, Hong Juan Chen, Hu Electric Power Research Institute of Guangdong Power Grid Corporation Guangzhou 510080 China Raisecom Technology Co. Ltd Beijing 100085 China

ISBN: (纸本)9783038352518

Under the condition that the increasing number of devices and invariable server hardware facilities in intelligent substation control system, an optimization algorithm of equipment polling strategy in intelligent substation control system is proposed in this paper. This paper proposes an equipment polling mechanism based on time slice scheduling, which is used to solve the problem that the entire network equipment need to detect at the same time on the hour, making the tremendous pressure to the control system. By using the proposed algorithm, it can effectively balance the load in the control system. © (2014) Trans Tech Publications, Switzerland.

关键词： control systems

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Wind power short-term forcasting of BP neural network based on the small-world optimization

Wind power short-term forcasting of BP neural network based ...

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3rd International conference on Manufacture Engineering, Quality and Production System, ICMEQP 2014

作者： Zhao, Xin Wang, Shuang Xin School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9783038350910

Wind power short-term forcasting of BP neural network based on the small-world optimization is proposed. First, the initial data collected from wind farm are revised, and the unreasonable data are found out and revised. Second, the small-world optimization BP neural network model is proposed, and the model is used on the prediction method of wind speed and wind direction, and the prediction method of power. Finally, by simulation analysis, the NMAE and NRMSE of the power method are smaller than those of the wind speed and wind direction method when the wind power data of one hour later are predicted. When the power method are used to forecast the data one hour later, NMAE is 5.39% and NRMSE is 6.98%. © (2014) Trans Tech Publications, Switzerland.

关键词： Wind power

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