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检索条件"机构=State Key Laboratory of Intelligent Control and Management of Complex Systems"

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Graph-Based Background Suppression for Scene Text Detection

Graph-Based Background Suppression for Scene Text Detection

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IAPR International Workshop on Document Analysis systems, DAS

作者： Cunzhao Shi Baihua Xiao Chunheng Wang Yang Zhang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Detecting text in video or natural scene image is quite challenging due to the complex background, various fonts and illumination conditions. The preprocessing period, which suppresses the nontext areas so as to highlight the text areas, is the basis for further text detection. In this paper, a novel graph-based background suppression method for scene text detection is proposed. Considering each pixel as a node in the graph, our approach incorporates pixel-level and context-level features into a graph. Various factors contribute to the unary and pair wise cost function which is optimized via max-flow/min-cut algorithm [16] to get a binary image whose nontext pixels are suppressed so that text pixels are highlighted. Furthermore, the proposed background suppression method could be easily combined with other detection methods to improve the performance. Experimental results on ICDAR 2011 competition dataset show promising performance.

关键词： Image edge detection Cost function Image color analysis Text categorization Feature extraction Computer vision

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An overview of agent-based evacuation models for building fires

An overview of agent-based evacuation models for building fi...

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Hu, Yuling Liu, Xiwei Wang, Feiyue Cheng, Changjian Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology China School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781467303880

Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd' important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computaional experiments point of view is proposed. © 2012 IEEE.

关键词： Decision making

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Optimal task and energy scheduling in dynamic residential scenarios

Optimal task and energy scheduling in dynamic residential sc...

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9th International Symposium on Neural Networks, ISNN 2012

作者： De Angelis, Francesco Boaro, Matteo Fuselli, Danilo Squartini, Stefano Piazza, Francesco Wei, Qinglai Wang, Ding Dipartimento di Ingegneria dell'Informazione Universitá Politecnica Delle Marche Ancona Italy State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642313455

Smart homes of the future will include automation systems that will provide lower energy consumption costs and comfortable environments to end users. In this work we propose an algorithm, based on the "Mixed-Integer Linear Programming" paradigm, able to find the optimal task and energy scheduling in realistic residential scenarios, in order to reduce costs and satisfy the user requirements at the same time. Both the static and the dynamic case studies have been addressed on purpose and results obtained from computer simulations seem to confirm the effectiveness of the idea. © 2012 Springer-Verlag.

关键词： Scheduling

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Optimal battery management with ADHDP in smart home environments 1

引用

9th International Symposium on Neural Networks, ISNN 2012

作者： Fuselli, Danilo De Angelis, Francesco Boaro, Matteo Liu, Derong Wei, Qinglai Squartini, Stefano Piazza, Francesco Dipartimento di Ingegneria dell'Informazione Universitá Politecnica Delle Marche Ancona Italy State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (数字)9783642313622

ISBN: (纸本)9783642313615

In this paper an optimal controller for battery management in smart home environments is presented in order to save costs and minimize energy waste. The considered scenario includes a load profile that must always be satisfied, a battery-system that is able to storage electrical energy, a photovoltaic (PV) panel, and the main grid that is used when it is necessary to satisfy the load requirements or charge the battery. The optimal controller design is based on a class of adaptive critic designs (ACDs) called action dependent heuristic dynamic programming (ADHDP). Results obtained with this scheme outperform the ones obtained by using the particle swarm optimization (PSO) method. © 2012 Springer-Verlag.

关键词： Automation

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SVM-based just-in-time adaptive classifiers 1

引用

19th International Conference on Neural Information Processing, ICONIP 2012

作者： Alippi, Cesare Bu, Li Zhao, Dongbin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dipartimento di Elettronica e Informazione Politecnico di Milano 20133 Milano Italy

ISBN: (数字)9783642344817

ISBN: (纸本)9783642344800

Aging of sensors, faults in the read-out electronics and environmental changes are some immediate examples of time variant mechanisms violating that stationarity hypothesis mostly assumed in the design of classification systems. Such changes, known in the related literature as concept drift, modify the probability density function of measurements, hence impairing the accuracy of the classifier. To cope with these mechanisms, active classifiers such as the Just-in-time adaptive ones, are needed to detect a change in stationarity and modify the classifier configuration accordingly to track the process evolution. At the same time, when the process is stationary, new available supervised information is integrated in the classifier to improve over time its classification accuracy. This paper introduces a JIT adaptive classifier based on support vector machines able to track changes in the process generating the data with computational complexity and memory requirements well below that of current JIT classifiers integrating k-nearest neighbor solutions. © 2012 Springer-Verlag.

关键词： Support vector machines

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Carrier-based sensor deployment by a mobile robot for wireless sensor networks

Carrier-based sensor deployment by a mobile robot for wirele...

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2012 12th International Conference on control, Automation, Robotics and Vision, ICARCV 2012

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing China

ISBN: (纸本)9781467318716

We consider a realistic wireless sensor deployment strategy by which mobile robot deploys sensor nodes when it moves along the linear backbone network with some branches. Because of its finite load capacity, the robot has to repeatedly move back to the position where all sensors are temporarily stored and reload sensor nodes, which leads to the robot has to travel the path many times and consumes more energy. We present a Shortest Traveling Path for Robot (STPR) algorithm by which the robot can reduce the traveling path and achieve the required coverage. All nodes are stored at the temporary starting point and mobile robot continuously loads sensors and moves to the destination, dropping some sensor to meet the basic coverage and connectivity requirements. The mobile robot arrives at the far intersection and deploys sensors along the branches in accordance with the algorithm rules, and then returns the recent branch when having enough sensors. Otherwise the robot moves back and deploys sensors on the back path. The robot reloads sensors and repeats the deployment process until all the branches and backbone is finished. The paper proves that the algorithm is effective compared with the common methods. Simulation results show that the algorithm effectively reduces the moving distance at the randomly generated network. © 2012 IEEE.

关键词： Mobile robots

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GPU based ordinal optimization for traffic signal coordination

GPU based ordinal optimization for traffic signal coordinati...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Wang, Kai Shen, Zhen Changsha Hunan China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan 523808 Guangdong Province China

ISBN: (纸本)9781467324007

Traffic signal coordination has long been a hot topic in intelligent Transportation systems (ITS) research. Simulation-based optimization is an important method to optimize the coordination designs as the traffic systems are not easily described by mathematical models accurately. For the traffic simulator in the method, micro-simulation is becoming more and more popular than the macroscopic or mesoscopic simulation in recent years, as the micro-simulation can describe drivers' decision-making process and their driving behaviors in the framework of ITS. However, the computing burden for the micro-simulation is usually very heavy as a large number of vehicles are modeled and simulated separately. For the optimizer in the method, iterative algorithms such as Genetic Algorithms (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO) are widely used to find the global optimal solutions. However, these algorithms usually take too much time to converge when a large-scale road network is encountered. To alleviate the computing burden and speed up the convergence, we build an agent-based traffic simulator and employ Ordinal Optimization (OO) as the optimizer. We accelerate both the simulator and the optimizer with Graphics Processing Unit (GPU), which has been applied successfully in many areas for parallel computing. Simulation results show the effectiveness of the OO method and the power of GPU for parallel computing. © 2012 IEEE.

关键词： Graphics processing unit

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A GPU based trafficparallel simulation module of artificial transportation systems

A GPU based trafficparallel simulation module of artificial ...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

ISBN: (纸本)9781467324007

Traffic micro-simulation is an important tool in the intelligent Transportation systems (ITS) research. In the micro-simulation, a bottom up system can be built up by the interactions of vehicle agents, road agents, traffic lights agents, etc. The Artificial societies, Computational experiments, and Parallel execution (ACP) approach suggests integrating other metropolitan systems such as logistic, infrastructure, legal and regulatory, weather and environmental systems to build an Artificial Transportation System (ATS) to help solve ITS problems. This is reasonable as the transportation system is complex that is affected by many systems interacting with each other. However, there is a challenge that the computing burden can be very heavy as there can be many agents of different kinds interacting in parallel in ATS. 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 a parallel traffic simulation module of ATS with GPU. The simulation results are reasonable and a maximum speedup factor of 105 is obtained compared with the CPU implementations. © 2012 IEEE.

关键词： Graphics processing unit

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Dynamic Modeling and Vibration Mode Analysis for an Industrial Robot with Rigid Links and Flexible Joints

Dynamic Modeling and Vibration Mode Analysis for an Industri...

引用

The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Yanhui Qiang Fengshui Jing Junfang Zeng Zengguang Hou State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Beijing Sciample Technology CO.LTDBeijing 100190 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese

Nowadays, most industrial robots have been designed to be mechanically stiff with rigid link. When a robot with heavy payload is running in fast motions, the residual vibrations of the end-effector are primary caused by joint flexibility. Therefore, the flexibility of joint cannot be neglected. This paper presents a systematic approach to dynamic modeling and residual vibration mode analysis for an industrial robot with rigid links and flexible joints (RLFJ). First, the flexibility of the joint is modeled as a torsional spring and the dynamic equations for this robot are derived by using Lagrange’s method. Then, to examine residual vibration properties of the system, numerical simulation is carried out. The following important conclusions are drawn from simulation results: (1) the proposed dynamic model can represent joint flexibility of industrial robot and the joint flexibility causes the residual vibration of the end-effector;(2) for a given RLFJ model, the residual vibration is mainly affected by the payload mass, path of the task and joint stiffness.

关键词： Dynamic Model Flexible Joint Residual Vibration Industrial Robot

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ACP based 3D emergency drills system for petrochemical plants

ACP based 3D emergency drills system for petrochemical plant...

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10th World Congress on intelligent control and Automation, WCICA 2012

作者： Jing, Sifeng Cheng, Changjian Xiong, Gang Liu, Xiwei Shang, Xiuqin Wang, Weixing State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Industrial Technology Innovation and Incubation Center Chinese Academy of Sciences Songshan-Lake 523808 China

ISBN: (纸本)9781467313988

To further enhance emergency management skills of an organisation's emergency response personnel, emergency response training,especially 3D emergency drill, is currently becoming more and more important in the petrochemical sector. So, a novel 3D emergency drills system is designed and developed based on ACP approach, which can be used for mocking emergency response plan drills and evaluating the plan. A case study reveals that the performance of the system is good and the system can meet the needs of emergency response training and optimizing emergency response plan in petrochemical plants. © 2012 IEEE.

关键词： Personnel training

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