检索结果-内蒙古大学图书馆

New enhancement of infrared image based on human visual system

Chinese Optics Letters 2009年第3期7卷 206-209页

作者：于天河李秋明戴景民 Department of Automation Measurement and Control Engineering Harbin Institute of Technology Computer Center Harbin University of Science and Technology School of Astronautics Harbin Institute of Technology

Infrared images are firstly analyzed using the multifractal theory so that the singularity of each pixel can be extracted from the images. The multifractal spectrum is then estimated, which can reflect overall characteristic of an infrared image. Thus the edge and texture of an infrared image can be accurately extracted based on the singularity of each pixel and the multifractal spectrum. Finally the edge pixels are classified and enhanced in accordance with the sensitivity of human visual system to the edge profile of an infrared image. The experimental results obtained by this approach are compared with those obtained by other methods. It is found that the proposed approach can be used to highlight the edge area of an infrared image to make an infrared image more suitable for observation by human eyes.

关键词： Imaging systems Infrared imaging Infrared spectroscopy Pixels

来源：评论

学校读者我要写书评

暂无评论

An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort

An integrated control of shading blinds, natural ventilation...

引用

IEEE International Conference on Automation science and engineering (CASE)

作者： Biao Sun Peter B. Luh Qing-Shan Jia Ziyan Jiang Fulin Wang Chen Song Center of Intelligent and Networked Systems (CFINS) Tsinghua National Laboratory of Information Science and Technology Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Connecticut Storrs CT USA Department of Building Science Tsinghua University Beijing China Safety and Control Systems China and the Tsinghu-UTC Research Institute of Integrated Building Energy United Technologies Research Center Inc. Beijing China

Improving the control of shading blinds, lights, natural ventilation, and HVAC systems while satisfying human comfort requirements can result in significant energy cost savings with time-of-day electricity pricing. Traditionally, the above-mentioned devices are controlled separately. In this paper, a novel formulation for the integrated control and the corresponding solution methodology are presented. The problem is to minimize daily energy costs of lights and HVAC systems while satisfying equipment capacities, system dynamics, and human comfort. The problem is complicated since 1) individual rooms are coupled as they compete for the HVAC with limited capacity and nonlinear characteristics, and 2) the problem is believed to be NP-hard in view that decision variables are all discrete. A solution methodology that combines Lagrangian relaxation and stochastic dynamic programming is developed within the surrogate optimization framework to obtain near-optimal strategies. These strategies are further refined to become novel control rules for easy practical implementation. Numerical simulation results show that both of the above strategies can effectively reduce the total energy cost, and that the integrated control works better than selected traditional control strategies.

关键词： Ventilation Humidity Equations Optimization Heating Humans

来源：评论

学校读者我要写书评

暂无评论

Nonlinear system control using adaptive neural fuzzy networks based on a modified differential evolution

引用

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 2009年第4期39卷 459-473页

作者： Chen, Cheng-Hung Lin, Cheng-Lin Lin, Chin-Teng Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Department of Computer Science and Information Engineering National Chin-Yi University of Technology Taiping City 411 Taiwan Department of Computer Science Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Brain Research Center University System of Taiwan Hsinchu 300 Taiwan

This study presents an adaptive neural fuzzy network (ANFN) controller based on a modified differential evolution (MODE) for solving control problems. The proposed ANFN controller adopts a functional link neural network as the consequent part of the fuzzy rules. Thus, the consequent part of the ANFN controller is a nonlinear combination of input variables. The proposed MODE learning algorithm adopts an evolutionary learning method to optimize the controller parameters. For design optimization, a new criterion is introduced. A hardware-in-the loop control technique is developed and applied to the designed ANFN controller using the MODE learning algorithm. The proposed ANFN controller with the MODE learning algorithm (ANFN-MODE) is used in two practical applications-the planetary-train-type inverted pendulum system and the magnetic levitation system. The experiment is developed in a real-time visual simulation environment. Experimental results of this study have demonstrated the robustness and effectiveness of the proposed ANFN-MODE controller. © 2009 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

Using an efficient immune symbiotic evolution learning for compensatory neuro-fuzzy controller

引用

IEEE Transactions on Fuzzy Systems 2009年第3期17卷 668-682页

作者： Chen, Cheng-Hung Lin, Cheng-Jian Lin, Ching-Teng Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Department of Computer Science and Information Engineering National Chin-Yi University of Technology Taichung County 411 Taiwan Department of Computer Science National Chiao-Tung University Hsinchu 300 Taiwan Brain Research Center University System of Taiwan Hsinchu 300 Taiwan

This paper presents an efficient immune symbiotic evolution learning (ISEL) algorithm for the compensatory neuro-fuzzy controller (CNFC). The proposed ISEL method includes three major components-initial population, subgroup symbiotic evolution, and immune system algorithm. First, the self-clustering algorithm that determines proper input space partitioning and finds the mean and variance of the Gaussian membership functions and number of rules is applied to the initial population. Second, the subgroup symbiotic evolution method that uses each subantibody represents a single fuzzy rule and the evolution of the rule itself. Third, the immune system algorithm uses the clonal selection principle, such that antibodies between others of high similar degree are canceled, and these antibodies, after processing, will have higher quality, accelerating the search, and increasing the global search capacity. Finally, the proposed CNFC with ISEL (CNFC-ISEL) method is adopted to solve several nonlinear control problems. The simulation results have shown that the proposed CNFC-ISEL can outperform other methods. © 2009 IEEE.

关键词： Immune system

来源：评论

学校读者我要写书评

暂无评论

Designing linear phase FIR filters with particle swarm optimization and harmony search

Designing linear phase FIR filters with particle swarm optim...

引用

作者： Shirvani, Abdolreza Khezri, Kaveh Razzazi, Farbod Lucas, Caro Computer Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Biomedical Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Electrical Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Iran

ISBN: (纸本)9783642105456

In recent years, evolutionary methods have shown great success in solving many combinatorial optimization problems such as FIR (Finite Impulse Response) filter design. An ordinary method in FIR filter design problem is Parks-McClellan, which is both difficult to implement and computationally expensive. The goal of this paper is to design a near optimal linear phase FIR filter using two recent evolutionary approaches;Particle Swarm Optimization (PSO) and Harmony Search (HS). These methods are robust, easy to implement, and they would not trap in local optima due to their stochastic behavior. In addition, they have distinguishing features such as less variance error and smaller overshoots in both stop and pass bands. To prove these benefits, two case studies are presented and obtained results are compared with previous implementations. In both cases, better and reliable results are achieved. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： FIR filters

来源：评论

学校读者我要写书评

暂无评论

Multi-static radar target tracking using information consensus filters

Multi-static radar target tracking using information consens...

引用

作者： Casbeer, David W. Beard, Randal W. Control Science Center of Excellence Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States Department of Electrical and Computer Engineering Brigham Young University Provo UT 84651 United States

ISBN: (纸本)9781563479786

In this paper, the information consensus filter (ICF) is adapted to non-linear process and measurement models by employing an extended information filter (EIF). The nonlinear ICF is a decentralized estimator, where each node in the sensor network maintains a local estimate. A node's local observations are fused with the local estimate, and the new information is communicated throughout the network by a consensus filter. We apply the non-linear ICF to a multi-static radar tracking system, where unmanned aerial vehicles (UAVs) act as mobile adaptive radar receivers. Each UAV maintains a local track of the target using the non-linear ICF, and for a small UAV team, it is shown that the accuracy of the decentralized non-linear ICF is similar to that of the estimate in an centralized extended information filter. Copyright © 2009 by David W. Casbeer.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Routing protocol for wireless sensor networks in home automation 8th

Routing protocol for wireless sensor networks in home automa...

引用

8th IFAC Conference on Fieldbuses and Networks in Industrial and Embedded Systems, FeT 2009

作者： Li, Xiao Hui Xu, Hong Qin Hong, Seung Ho Wang, Zhi Piao, Xiang Fan Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei430081 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Department of Electronics Information and System Engineering Hanyang University 425-791 Korea Republic of Department of Electronic Information Engineering College of Science and Engineering Yanbian University Yanji133002 China

ISBN: (纸本)9781617825583

Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.

关键词： Routing protocols

来源：评论

学校读者我要写书评

暂无评论

Estimated Energy Based Adaptive Clustering Protocol in WSNs

Estimated Energy Based Adaptive Clustering Protocol in WSNs

引用

WRI International Conference on Communications and Mobile Computing, CMC

作者： Na Xia Haowei Qian Jian-guo Jiang Mei Tang Department of Computer and Information Hefei University of Technology Hefei China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei China

Clustering has been proven to be an energy efficient topology for wireless sensor networks. It is a key topic to rotate the role of cluster-head to balance the energy load and extend the network lifetime. This paper proposes an estimated energy based adaptive clustering protocol (EEAC), which adopts energy driven cluster-head rotation strategy, selects new cluster-head in local cluster according to the nodes' position and estimated energy which can be calculated, so that the frequent network querying for energy can be relaxed. The cluster-head rotation happens asynchronously in different cluster, and the topology construction and maintenance is localized and simplified. The results of simulation experiment show the validity of the protocol especially in heterogeneous networks.

关键词： Protocols Wireless sensor networks Network topology computer networks Educational technology Communication system control Energy efficiency Mobile communication Mobile computing Programmable control

来源：评论

学校读者我要写书评

暂无评论

Application of neuro-fuzzy models in short term electricity load forecast

Application of neuro-fuzzy models in short term electricity ...

引用

International CSI computer Conference, CSICC

作者： A. R. Koushki M. Nosrati Maralloo C. Lucas A. Kalhor Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

One of the important requirements for operational planning of electrical utilities is the prediction of hourly load up to several days, known as short term load forecasting (STLF). Considering the effect of its accuracy on system security and also economical aspects, there is an on-going attention toward putting new approaches to the task. Recently, neuro fuzzy modeling has played a successful role in various applications over nonlinear time series prediction. This paper presents a neuro-fuzzy model for the application of short-term load forecasting. This model is identified through locally liner model tree (LoLiMoT) learning algorithm. The model is compared to a multilayer perceptron and Kohonen classification and intervention analysis. The models are trained and assessed on load data extracted from EUNITE network competition.

关键词： Predictive models Load forecasting Multilayer perceptrons Economic forecasting Power system modeling Power generation economics Fuel economy Artificial neural networks Power system economics Temperature

来源：评论

学校读者我要写书评

暂无评论

Long term electrical load forecasting via a neurofuzzy model

Long term electrical load forecasting via a neurofuzzy model

引用

International CSI computer Conference, CSICC

作者： M. Nosrati Maralloo A. R. Koushki C. Lucas A. Kalhor Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Long-term forecasting of load demand is necessary for the correct operation of electric utilities. There is an on-going attention toward putting new approaches to the task. Recently, Neurofuzzy modeling has played a successful role in various applications over nonlinear time series prediction. This paper presents a neurofuzzy model for long-term load forecasting. This model is identified through Locally Linear Model Tree (LoLiMoT) learning algorithm. The model is compared to a multilayer perceptron and hierarchical hybrid neural model (HHNM). The models are trained and assessed on load data extracted from a North-American electric utility.

关键词： Load forecasting Predictive models Multilayer perceptrons Power industry Economic forecasting Multi-layer neural network Power system planning Power generation Neural networks Data mining

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：