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International Journal of Digital Content Technology and its Applications 2012年第4期6卷 15-23页

作者： Wang, Hu Zhang, Wensheng Liu, Jin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of software Engineering Computer School Wuhan University Wuhan 430072 China

The histogram of gradients for three-dimensional images (HOG3D) has been widely used to generate descriptors of local features for the matching of salient interest blobs between volumetric medical images. The distinctiveness of descriptors is essential to match similar patterns as well as differentiate different patterns. However, most methods for HOG3D are based on the unequal azimuth-elevation-angle division of the three-dimensional orientations, leading to the reduction of the distinctiveness. This paper presents a description method to extract distinctive descriptors by using a novel histogram of gradients based on the maximum directional derivative (HOG3DMAX). The three-dimensional orientations are divided equally into 24 homogeneous regions for the bins of gradient histogram to improve the distinctiveness. In addition, the interpolation of gradients is applied in HOG3DMAX according to the relatively simple form of the homogeneous regions in order to avoid harmful effects from boundary in images. Experiments were performed on three sets with different extents of similarity. The cluster analysis and classification accuracy were utilized to validate the proposed method. Compared with the commonly used azimuth-elevation based method, the new method shows lower intra-cluster pairwise distances relative to inter-cluster pairwise distances, and achieved 5% higher classification accuracy. The results indicate the improvement of distinctiveness by using equally divided regions and the interpolation of gradients. We conclude that the HOG3DMAX is an effective description method for three-dimensional images.

关键词： Cluster analysis

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Simulating Plant Plasticity under Light Environment: A Source-Sink Approach

Simulating Plant Plasticity under Light Environment: A Sourc...

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IEEE International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

作者： Haoyu Wang Mengzhen Kang Jing Hua LIAMA Institute of Automation Chinese Academy of Sciences China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

Simulation of plant structure competing for light source has mostly been done by directly modifying plant structure according to light interception. Functional-structural plant models, however, emphasize the influence of light interception on biomass production, and consequently plant structure. In this paper, we integrate a light distribution model with GreenLab model, which used Beer-Law in computing biomass production. By replacing Beer-Law with a light interception model for biomass production, the combined model was able to simulate the effect of light condition on plant structure through source-sink regulation. The positive and negative sides of this approach are discussed.

关键词： Plant Growth Light Environment Source-Sink Photon Mapping

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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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Simulating Plant Plasticity under Light Environment:A Source-Sink Approach

Simulating Plant Plasticity under Light Environment:A Source...

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2012 IEEE 4th International Symposium on Plant Growth Modeling,Simulation,Visualization and Applications(PMA 2012)

作者： Haoyu Wang Mengzhen Kang Jing Hua state LIAMA Institute of AutomationChinese Academy of Sciences Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

Simulation of plant structure competing for light source has mostly been done by directly modifying plant structure according to light ***-structural plant models,however,emphasize the influence of light interception on biomass production,and consequently plant *** this paper,we integrate a light distribution model with GreenLab model,which used Beer-Law in computing biomass *** replacing Beer-Law with a light interception model for biomass production,the combined model was able to simulate the effect of light condition on plant structure through source-sink *** positive and negative sides of this approach are discussed.

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Research on intelligent scientific research collaboration platform and taking journal intelligence system as example

Research on intelligent scientific research collaboration pl...

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

作者： Lu, Hao Zheng, Xiaolong Sun, Xingkai Zhang, Nan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China Beijing Engineering Research Center of IntelligentSystems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Chinese Association of Automation Beijing China

ISBN: (纸本)9781467324007

Currently, the research issues are becoming increasingly global and complex. In order to master more and more professional and comprehensive ability to solve problems, it is proposed in this paper that academic intelligence, journal intelligence, conference intelligence, paper intelligence and so on are integrated together to establish intelligent scientific research collaboration platform. And taking the system application of Science and Technology Review as example, the process of scientific research collaboration is carried out to verify the effectiveness of the system. In conclusion, the scientific research collaboration platform could satisfy the comprehensive needs for effectively acquiring a mass of information and launching scientific research collaboration as well as facilitating academic communication. © 2012 IEEE.

关键词： scientific research Intelligence Platform journals

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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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Reaching an Average Consensus in Noisy Environments

Reaching an Average Consensus in Noisy Environments

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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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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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