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An ACP-based framework for occupants safety evacuation under fire in high-rise buildings

An ACP-based framework for occupants safety evacuation under...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Yu-Ling Hu Ding Wen Xi-Wei Liu School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture Beijing China Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology Beijing China Research Center of Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha China Institute of Automation Chinese Academy and Sciences Beijing China

Because the structure and function of a high-rise building is complex and the density of occupants in it is high, fire safety is still a worldwide difficult problem. Safety and timely evacuation is an important issue under fire in the high-rise buildings. Because it is impossible in fact to do experiments about fire safety evacuation in high-rise buildings, in this paper, a research framework based on the artificial system, computational experiments, and parallel excution (ACP) theory is proposed. First, an evacuation process is considered to compose of two stages including pre-evacuation stage and evacuation stage. Second, artifical men with recognition functions based agent technology is proposed. Finally, computational experiments are designed by using an orthogonal experiment table, and experiment procedure of pre-evacuation stage is given. The idea of systimatic research about the influence of fire control facilities to evacuation is also proposed.

关键词： Fires Computational modeling Buildings

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Extracting salient lines by Visual Attention for omnidirectional image classification

Extracting salient lines by Visual Attention for omnidirecti...

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IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)

作者： AmirHossein Habibian Majid Nili-Ahmadabadi Babak Nadjar Araabi Robotics and AI Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute for Research in Fundamental Sciences Tehran Iran

Representing an image as a set of its key and interesting lines facilitates the image understanding and classification. In this paper, we propose a method to extract the significant and interesting lines of the scene, which probably are useful in image classification. The proposed method is inspired from the Visual Attention, which is a perceptual mechanism in human and other primates that direct their perceptions to the limited regions of the scene. The attended regions are usually valuable in performing the task. Since the approach of using the lines to classify the images is particularly useful for omnidirectional images, we specialize our method to deal with these kinds of images. In the experiments, we demonstrate how our proposed methods improve the image classification performance with processing only small parts of the input images.

关键词： Feature extraction Visualization Image classification Gabor filters Image edge detection Histograms Computational modeling

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Agent-based traffic simulation and traffic signal timing optimization with GPU

Agent-based traffic simulation and traffic signal timing opt...

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International Conference on Intelligent Transportation

作者： Zhen Shen Kai Wang Fenghua Zhu State Key Laboratory of Intelligent Control and Management of Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences (CAS) Beijing China Center of Military Computational Experiments and Parallel Systems Technology and College of Mechatronics Engineering and Automation National University of Defense Technology Changsha Hunan China

With the advantage of simulating the details of a transportation system, the “microsimulation” of a traffic system has long been a hot topic in the Intelligent Transportation Systems (ITS) research. The Cellular Automata (CA) and the Multi-Agent System (MAS) modeling are two typical methods for the traffic microsimulation. However, the computing burden for the microsimulation and the optimization based on it is usually very heavy. In recent years the Graphics Processing Units (GPUs) have been applied successfully in many areas for parallel computing. Compared with the traditional CPU cluster, GPU has an obvious advantage of low cost of hardware and electricity consumption. In this paper we build an MAS model for a road network of four signalized intersections and we use a Genetic Algorithm (GA) to optimize the traffic signal timing with the objective of maximizing the number of the vehicles leaving the network in a given period of time. Both the simulation and the optimization are accelerated by GPU and a speedup by a factor of 195 is obtained. In the future we will extend the work to large scale road networks.

关键词： Graphics processing unit Vehicles Roads Optimization Computational modeling Genetic algorithms Timing

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Training ANFIS system with DE algorithm

Training ANFIS system with DE algorithm

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Allahyar Z. Zangeneh Mohammad Mansouri Mohammad Teshnehlab Ali K. Sedigh Computer Engineering Department Science and Research Branch Islamic Azad university of Tehran Iran Intelligent System laboratory (ISLAB) Control Department K. N. Toosi University of Technology Tehran Iran Advanced Process Automation & Control laboratory (APAC) Control Department K. N. Toosi University of Technology Tehran Iran

In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.

关键词： Vectors Adaptive systems Input variables Training Mathematical model Equations Firing

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T-S fuzzy systems approach to approximation and robust controller design for general nonlinear systems

T-S fuzzy systems approach to approximation and robust contr...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Qing Gao Gang Feng Xiao-Jun Zeng Yong Wang Department of Automation USTC-CityU Joint Advanced Research Centre Suzhou China School of Computer Science University of Manchester Institute of Science and Technology Manchester UK Department of Manufacturing Engineering and Engineering Management City University of Hong Kong Hong Kong China Department of Automation University of Science and Technology Hefei China

A novel approach to control of general nonlinear system based on T-S fuzzy model is presented in this paper. Firstly, it is shown that a general nonlinear system can be approximated by a generalized T-S fuzzy model to arbitrary degree of accuracy on any compact set. And the basic idea of the proposed approach is to stabilize the general nonlinear system by solving a robust stabilization problem of the developed T-S fuzzy system with the approximation errors as the uncertainty term. Then using a piecewise Lyapunov function, robust semi-global stabilization and generalized H 2 control of the general nonlinear system are formulated in the form of linear matrix inequalities. Finally, an example is provided to demonstrate the effectiveness of the proposed approaches.

关键词： Nonlinear systems Approximation methods Uncertainty Fuzzy systems Robustness Lyapunov methods Linear matrix inequalities

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Resource management using dynamical load prediction and multiprocessor cooperation

Resource management using dynamical load prediction and mult...

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International Conference on Networked Computing and Advanced Information Management (NCM)

作者： Xiuyan Guo Wu Zhang Jinlin Wang Gang Wu Joint Laboratory of Network Communication System & Control Department of Automation University of Science and Technology Hefei Anhui China National Network New Media Engineering Research Center Institute of Acoustics Chinese Academy and Sciences Beijing China

Resource management is a complicated problem in multiprocessor system. When tasks with real-time characteristic are scheduled on processor resource constraints such as CPU and memory have to be met, however, it is usually difficult for a system to ensure load balancing and resource constraints simultaneity. In order to handle this problem lots of algorithms have been brought forward. In this paper, a load balancing policy is proposed to manage and integrate processing resource of multiprocessor system which is used to send packets of packets flows on time. The policy dynamically predicts the wait time before a packet to be processed based on the load of the processor and the timestamp of the packet, and decides the migration of packet between processors to guarantee that the packets can be processed before deadline. This policy can not only increase the multiprocessor utilization but also enhance the capacity of the system against the jitter of load by packets migration between the processors as well. We use simulation experiment to show that the policy can reduce the possibility of packets delay and increase the concurrency of flows that the system can serve.

关键词： Load management Multicore processing Delay Real time systems Resource management Load modeling Jitter

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Consensus-Based Decentralized Supervision of Petri nets

Consensus-Based Decentralized Supervision of Petri nets

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IEEE Conference on Decision and control

作者： Andrea Gasparri Donato Di Paola Alessandro Giua Giovanni Ulivi David Naso Department of Computer Science and Automation (DIA) University of "Roma Tre" 00146 Roma Italy Institute of Intelligent Systems for Automation (ISSIA) National Research Council (CNR) 70126 Bari Italy Department of of Electrical and Electronic Engineering (DIEE) University of Cagliari Italy Department of Electrical and Electronic Engineering (DEE) Polytechnic of Bari Bari Italy

ISBN: (纸本)9781612848006

In this work, by starting from the theoretical framework proposed in [1], the problem of decentralized supervision of a Petri net through collaboration among supervisors is addressed. Communication is assumed to be available but limited to one-hop neighbors, i.e., supervisors reachable from one another with respect to a certain communication radius r. A sufficient condition to achieve decentralized admissibility by focusing the attention on the communication topology of the network of supervisors is provided. Furthermore, under the assumption of control under concurrent firing, a protocol to reach an agreement on the control input among the supervisors is proposed. Finally, a feasibility analysis for the implementation of the proposed decentralized control framework is discussed.

关键词： Supervisors Petri nets control input Decentralized Communication research Network topology

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Freeway ramp metering: an LPV set theoretical analysis

Freeway ramp metering: an LPV set theoretical analysis

引用

American control Conference

作者： Tamas Luspay Balazs Kulcsar Tamas Peni Istvan Varga Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences H-1111 Kende u. 14-17. Budapest Hungary Department of Signals and Systems Chalmers University of Technology SE-412 96 Gothenburg Sweden

ISBN: (纸本)9781457700811

The paper contributes to the analysis of freeway traffic flow dynamics by set theoretic methods. First, the macroscopic, non-linear and second-order model of freeway traffic flow dynamics is transformed to an equivalent and quasi Linear Parameter Varying (LPV) representation by steady-state centering and state variable factorization. Second, a polytopic LPV model form is obtained from the quasi model reformulation. The latter polytopic LPV form is then used as a basis for the computation and analysis of disturbance invariant sets. This framework is able to characterize constrained sets of states which can be reached by pure ramp metering control input signals. Furthermore, these sets become invariant to other measured and unmeasured disturbance inputs. The application of disturbance invariant set theory provides an analytical tool for constrained freeway ramp metering describing the set of states being invariant under the system dynamics, measured disturbance and other physical constraints regardless to the value unmeasured disturbance signal. The proposed idea is fully based on the analysis of the (transformed) non-linear macroscopic system and aims at filling the gap between the traffic modeling and quantitative freeway ramp metering.

关键词： Set theory ramp metering polytopic systems linear parameter varying representations

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A simple interface to the Virtual Collaboration Arena for MATLAB applications

A simple interface to the Virtual Collaboration Arena for MA...

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International Symposium on Computational Intelligence and Informatics

作者： Dávid Vincze Szilveszter Kovács Péter Korondi Péter Baranyi Department of Information Technology University of Miskolc Miskolc Hungary Department of Mechatronics Optics and Engineering Informatics Budapest University of Technology and Economics Budapest Hungary Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

The Virtual Collaboration Arena (VirCA) is a modular, easy to use 3D framework supporting the development of augmented (real and virtual) reality applications. To apply the services provided by VirCA, special VirCA interfaces are needed in the actual programming environment. Native interface does not exist for some special environments, like e.g. for MATLAB, which is a commonly used for implementing complex models. The goal of the paper is to introduce a possible method for interconnecting the prototype spatial ETO-MOTOR model implemented in MATLAB with the 3D VirCA augmented reality environment. This is achieved by a newly developed adapter application, which translates between the two environments and uses standardized network protocols for communication. The ETO-MOTOR is a behaviour model based upon ethological studies. In the case of the example application, the type of the ETO-MOTOR is a “spatial ETO-MOTOR”, i.e. it can directly send spatial coordinates or heading directions to the virtual actors of the model. The prototype of the spatial ETO-MOTOR is constructed as a Fuzzy Rule Interpolation (FRI) based fuzzy automaton. In the example of the paper the ETO-MOTOR describes the behaviour of a dog in an unknown environment. In the original version of the model implementation, it has a very simple proof-of-concept user interface, which is sufficient for basic testing only, but very far from real world experiences. The personal interaction with the model thanks to the 3D VirCA augmented reality environment can yield much more direct observations and hence more profit for ethologists. The developed MATLAB-VirCA connector application provided with this paper can be easily modified to suit the needs of other third party applications too.

关键词： Three dimensional displays MATLAB Interpolation Adaptation models Automata Solid modeling Collaboration

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汽轮机超速保护控制对电网频率的影响对策的研究

汽轮机超速保护控制对电网频率的影响对策的研究

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甘肃省电机工程学会2012年学术年会

作者： MA Cheng-xia 马呈霞 WANG Hong-wei 王宏伟 GUO Yu-feng 秦睿 XlA-yan 郭钰锋 GE Zhi-ping 夏岩 CHEN-lin 葛智平陈林 Gansu Electric Power Research Institute Lanzhou 730050 China 甘肃省电力公司电力科学研究院甘肃省兰州市730050 School of Electrical Engineering and Automation Control and Reliability Harbin Institute of Technol College of Electrical and Information Engineering Lanzhou University of TechnologyLanzhou 730050 哈尔滨工业大学电气工程及自动化学院黑龙江省哈尔滨市150001 兰州理工大学电气工程与信息工程学院甘肃省兰州市730050

在孤网运行状态下传统超速保护控制(OPC)由于汽轮机转速的较大波动会使汽轮机调节阀频繁动作，影响电网频率的稳定性。为此，以中间再热式汽轮机为例，建立了多区域单机无穷大系统仿真数学模型，并对孤网运行状态下不同OPC保护定值对电... 详细信息

在孤网运行状态下传统超速保护控制(OPC)由于汽轮机转速的较大波动会使汽轮机调节阀频繁动作，影响电网频率的稳定性。为此，以中间再热式汽轮机为例，建立了多区域单机无穷大系统仿真数学模型，并对孤网运行状态下不同OPC保护定值对电网频稳定性的影响进行了仿真，提出了孤网运行状态下机组解列时应该适当提高OPC保护定值的措施和在OPC控制逻辑增加并网、解列、孤网运行3种控制方式的方案。

关键词：汽轮发电机电网频率数学模型安全运行

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