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第八届中国多智能体系统与控制会议(MASC'2012)

作者： WANG Yunpeng CHENG Long HOU Zeng-Guang TAN Min Sate Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

This paper studies a mean square average consensus of general linear discrete-time time-invariant multi-agent systems with communication noises.A distributed protocol,which is composed of the agent’s own state feedback and the relative states between the agent and its neighbors,is proposed.A time-varying consensus gain is applied to attenuate the effect of noises.A polynomial,namely “parameter polynomial”,is constructed in such a way that its coefficients are the paraments in the control gain vector of the proposed *** turns out that the parameter polynomial plays an important role in the consensus analysis of linear multi-agent *** is proved that under the proposed protocol the necessary and sufficient conditions for ensuring the mean square average consensus are: the communication topology graph is balanced and strongly connected;the consensus gain satisfies the approximation-type conditions;and all roots of the parameter polynomial are in the unit circle.

关键词： Multi-agent systems discrete-time average consensus mean square noise linear time-invariant

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Extracting action knowledge in security informatics

Extracting action knowledge in security informatics

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Ansheng Ge Wenji Mao Daniel Zeng Qingchao Kong Huachi Zhu State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing Police Department China

Actions are the primary way an entity interacts with other entities and acts on the external world. Action knowledge is of vital importance for behavior modeling, analysis and prediction in security informatics. In this paper, we present our approach to action knowledge extraction from Web textual data. Our approach is based on mutual bootstrapping with knowledge reasoning, which can acquire more action knowledge types and require less human participation compared with the related work. We evaluate the performance of our method and demonstrate its effectiveness through experiment.

关键词： Cognition Reliability Knowledge engineering Security Data mining Informatics Semantics

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Real-time manufacturing integration and intelligence solution: Case study in global chemical company

Journal of Software

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Journal of Software 2012年第8期7卷 1727-1737页

作者： Xiong, Gang Dong, XiSong Liu, XiWei Nyberg, Timo R. State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China BIT Research Centre Aalto University Aalto Finland

Global manufacturing enterprises meet a lot of challenges on enterprise level, plant level and shop floor level. To solve those challenges, a kind of real- time Manufacturing Integration and Intelligence (Mil) solution is proposed, and its standard interfaces with ERP modules and shop floor systems, standard integration functionalities, and typical use cases and typical benefits, are described. By using of the practical project executed in one global chemical company as background, the paper introduces the project's "AS IS" situation, and "TO BE" target. Then, the Mil solution is discussed in more detail, including its business scope, customer requirements, server selection, high availability solution, core technologies, and its main functions: load;unload;transfer;special instruction;inventory;blending;KPI dashboard. The tactical benefits, which have been made for the customer with the Mil solution, are summarized. Finally, some conclusions are drawn out. © 2012 ACADEMY PUBLISHER.

关键词： Blending

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A weighted pattern recognition algorithm for short-term traffic flow forecasting

A weighted pattern recognition algorithm for short-term traf...

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IEEE International Conference on Networking, Sensing and control

作者： Shuangshuang Li Zhen Shen Fei-Yue Wang State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center for Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

The k-nearest neighbor (k-NN) nonparametric regression is a classic model for single point short-term traffic flow forecasting. The traffic flows of the same clock time of the days are viewed as neighbors to each other, and the neighbors with the most similar values are regarded as nearest neighbors and are used for the prediction. In this method, only the information of the neighbors is considered. However, it is observed that the “trends” in the traffic flows are useful for the prediction. Taking a sequence of consecutive time periods and viewing the a sequence of “increasing”, “equal” or “decreasing” of the traffic flows of two consecutive periods as a pattern, it is observed that the patterns can be used for prediction, despite the patterns are not from the same clock time period of the days. Based on this observation, a pattern recognition algorithm is proposed. Moreover, empirically, we find that the patterns from different clock time of the days can have different contributions to the prediction. For example, if both to predict the traffic flow in the morning, the pattern from the morning can lead to better prediction than same patterns from afternoon or evening. In one sentence, we argue that both the pattern and the clock time of the pattern contain useful information for the prediction and we propose the weighted pattern recognition algorithm (WPRA). We give different weights to the same patterns of different clock time for the prediction. In this way, we take both virtues of the k-NN method and the PRA method. We use the root mean square error (RMSE) between the actual traffic flows and the predicted traffic flows as the measurement. By applying the results to actual data and the simulated data, about 20% improvement compare with the PRA is obtained.

关键词： Clocks Data models Pattern recognition Prediction algorithms Mathematical model Meteorology Vectors

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A novel parking control algorithm for a car-like mobile robot

A novel parking control algorithm for a car-like mobile robo...

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IEEE International Conference on Networking, Sensing and control

作者： Yaru Zhang Shuming Tang Zhilin Zhang 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 China

This paper proposes a novel algorithm for parking motion of a Car-like mobile robot. The algorithm presented here addresses calculating equations for planning a parking path in real time. Moreover, by incorporating the constraints of the mechanical and kinematical characteristics of the car and the geometry of the parking lot in the path planning, we can turn a parking problem into solving algebraic equations. By tracking a planned path, the Car-like mobile robot can drive into the parking area without hitting any boundaries. The efficiency of the proposed algorithm is demonstrated by simulation.

关键词： Vehicles Mobile robots Algorithm design and analysis Mathematical model Turning Equations Signal processing algorithms

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A review on vision-based pedestrian detection in intelligent transportation systems

A review on vision-based pedestrian detection in intelligent...

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IEEE International Conference on Networking, Sensing and control

作者： Bo Li Qingming Yao Kunfeng Wang 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 China

Pedestrians are key participants in transportation systems, so pedestrian detection in video surveillance systems is of great significance to the research and application of Intelligent Transportation systems (ITS). We review some methods and models for vision-based pedestrian detection in recent years. In this paper, the pedestrian detection techniques are divided into macroscopic and microscopic according to different application in transportation systems. Macroscopic pedestrian detection aims to estimate crowd density without distinguishing each pedestrian, and microscopic pedestrian detection focuses on detection and recognition of individual pedestrians. The latter detection style is deeply studied, so it is presented in detail in this paper, especially for the feature-classifier-based detection method. Finally, the pedestrian detection algorithms are discussed and concluded from the viewpoint of video surveillance and ITS. Existing problems and future trends are presented in that section.

关键词： Feature extraction Shape Training Transportation Traffic control Video surveillance

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Rear lamp based vehicle detection and tracking for complex traffic conditions

Rear lamp based vehicle detection and tracking for complex t...

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IEEE International Conference on Networking, Sensing and control

作者： Ye Li Qingming Yao 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 China

In video surveillance system, detection and tracking of vehicles are two foundational and significant tasks. In this paper, a vehicle detection and tracking method based on rear lamp pairs is proposed. The proposed method combines color with motion information to perform vehicle detection. In order to adapt to different weather conditions like night, the rear lamps are divided into two categories: unlit lamps and lighted lamps. First, threshold segmentation are used to extract both the unlit and lighted lamp candidates in hue-saturation-value (HSV) color space and the thresholds are selected automatically by maximally stable extremal region (MSER) method. Then, all lamp candidates are tracked by using Kalman filter and lamp candidates with short-lived trajectories are removed to avoid disturbances. Next, two adjacent lamp candidates with similar speed are bound together as a region of interest (ROI), which represents a potential pair of lamps. Image cross-correlation symmetry analysis based on Gabor filter is utilized to find the ROIs with symmetrical texture and these symmetric ROIs can be regarded as pairs of lamps. The experimental results show that the proposed method can effectively deal with various illumination conditions and improve the accuracy and robustness of vehicle detection. In addition, this method can perform vehicle detection and tracking under complex traffic conditions and the Gabor filter based symmetry analysis can successfully suppress subtle difference between the left and right parts of a vehicle as well as environment noises.

关键词： Vehicles Image color analysis Vehicle detection Gabor filters Correlation Tracking Kalman filters

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A vehicle license plate recognition system based on analysis of maximally stable extremal regions

A vehicle license plate recognition system based on analysis...

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IEEE International Conference on Networking, Sensing and control

作者： Bo Li Bin Tian Qingming Yao Kunfeng Wang 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 China

Vehicle License Plate Recognition (VLPR) system is a core module in Intelligent Transportation systems (ITS). In this paper, a VLPR system is proposed. Considering that license plate localization is the most important and difficult part in VLPR system, we present an effective license plate localization method based on analysis of Maximally Stable Extremal Region (MSER) features. Firstly, MSER detector is utilized to extract candidate character regions. Secondly, the exact locations of license plates are inferred according to the arrangement of characters in standard license plates. The advantage of this license plate localization method is that less assumption of environmental illumination, weather and other conditions is made. After license plate localization, we continue to recognize the license plate characters and color to complete the whole VLPR system. Finally, the proposed VLPR system is tested on our own collected dataset. The experimental results show the availability and effectiveness of our VLPR system in locating and recognizing all the explicit license plates in an image.

关键词： Licenses Image color analysis Character recognition Lighting Histograms Feature extraction Image segmentation

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A design of artificial high-rise building evacuation systems under fires

A design of artificial high-rise building evacuation systems...

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

作者： Hu, Yu-Ling Liu, Xi-Wei School of Automation Beijing Institute of Technology Beijing 100081 China School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture Beijing 100044 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Because the structure and function of a high-rise building is complex and the density of occupants is high, and the rescue from outside is very difficult, safe and timely evacuation is an important issue under high-rise building fires. Worsely, it is impossible to do experiments for economic, moral, or even legal reasons. In this paper, based on an ACP (artificial systems, computational experiments, parallel excution) approach, a design of an artificial evacuation system for computational experiments research on societies evacuation strategies is proposed. Based on the buildingEXODUS platform, the agent technology is used to build the high-rise building architectures and occupant individuals who have autonomous activities. By using CFAST software, numerical calculation technology is used to build several kinds of fire scenarios. By interactions and influences, an artificial evacuation system can be built. © 2012 IEEE.

关键词： Fires

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Business model transformation as an explanation of dramatic demand-supply change events

Business model transformation as an explanation of dramatic ...

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

作者： Tuomisaari, Hannu Nyberg, Timo Karjalainen, Jesse Mäkelin, Matti Ou, Jin Ma, Hongze Xiong, Gang Tynjälä, Teemu Business Innovation and Technology Research Unit School of Science Aalto University Espoo Finland Stora Enso Timber Ltd. Helsinkiy Finland Accenture Helsinki Finland State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Nokia Corporation Helsinki Finland

ISBN: (纸本)9781467324007

This paper discusses Business Model transformation in corporate turnaround events. This is accomplished with a Business Model Framework and by studying a set of cases, where demand-supply constellation has dramatically changed. The cases are from Finland (Nokia) and China (Baidu). A fourth case compares two business models with each other that existed simultaneously, but in different parts of the world. © 2012 IEEE.

关键词： Oceanography

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