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International Conference on Natural Computation (ICNC)

作者： Maoguang Wang Zhongzhi Shi Li Zheng Fen Lin Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China Chinese Academy of Sciences China Graduate University of CAS China

Due to the increasing software complexity, how to integrate the legacy data resources and systems is a big challenge for the enterprise. This paper makes full use of agent technologies to establish an agent grid intelligent platform for enterprise heterogeneous system integration. The agent grid intelligent platform adopts a hierarchical integration model and middleware to provide efficient integration capability for different application systems. Finally, this paper introduces the grid based city emergency interaction system to illustrate the AGrIP practical system integration.

关键词： intelligent agent Application software Middleware Collaborative work Collaboration Connectors Computer science Laboratories information processing Cities and towns

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Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model

Monocular Tracking 3D People By Gaussian Process Spatio-Temp...

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IEEE International Conference on Image processing

作者： Junbiao Pang Laiyun Qing Qingming Huang Shuqiang Jiang Wen Gao Graduate School of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Institute of Digital Media Peking University Beijing China

Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temporal variable model (GPSTVM), a novel dynamical system modeling method is proposed for learning human pose and motion priors. The GPSTVM provides a low dimensional embedding of human motion data, with a smooth density function that provides higher probability to the poses and motions close to the training data. The low dimensional latent space is optimized directly to retain the spatio-temporal structure of the high dimensional pose space. After the prior on human pose is learned, the particle filtering can be used tracking articulated human pose; particle filtering propagates over time in the embedding space, avoiding the curse of dimensionality. Experiments demonstrate that our approach tracks 3D people accurately.

关键词： Gaussian processes Humans Filtering Tracking Predictive models information processing Computers Data models Modeling Density functional theory

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Competitive Online Searching for a Ray in the Plane

Competitive Online Searching for a Ray in the Plane

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Robot Navigation 2006

作者： Eubeler, Andrea Fleischer, Rudolf Kamphans, Tom Klein, Rolf Langetepe, Elmar Trippen, Gerhard Fudan University Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Shanghai China University of Bonn Institute of Computer Science I BonnD-53117 Germany Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Hong Kong

We consider the problem of a searcher that looks, for example, for a lost flashlight in a dusty environment. The search agent finds the flashlight as soon as it crosses the ray emanating from the flashlight, and in order to pick it up, the searcher has to move to the origin of the light beam. First, we give a search strategy for a special case of the ray search-the window shopper problem-, where the ray we are looking for is perpendicular to a known ray. Our strategy achieves a competitive factor of ≈1.059, which is optimal. Then, we consider the search for a ray with an arbitrary position in the plane. We present an online strategy that achieves a factor of ≈22.513, and give a lower bound of ≈17.079. © 2007 Dagstuhl Seminar Proceedings. All rights reserved.

关键词： Motion planning

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A New Multi-objective Fully-Informed Particle Swarm Algorithm for Flexible Job-Shop Scheduling Problems

A New Multi-objective Fully-Informed Particle Swarm Algorith...

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International Conference on Computational Intelligence and Security Workshops (CISW)

作者： Zhao-hong Jia Hua-ping Chen Jun Tang Department of Information Management and Decision Science University of Science and Technology Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

A novel Pareto-based multi-objective fully-informed particle swarm algorithm (FIPS) is proposed to solve flexible job-shop problems in this paper. Firstly, the population is ranked based on Pareto optimal concept. And the neighborhood topology used in FIPS is based on the Pareto rank. Secondly, the crowding distance of individuals is computed in the same Pareto level for the secondary rank. Thirdly, addressing the problem of trapping into the local optimal, the mutation operators based on the coding mechanism are introduced into our algorithm. Finally, the performance of the proposed algorithm is demonstrated by applying it to several benchmark instances and comparing the experimental results.

关键词： Particle swarm optimization Scheduling algorithm Computational intelligence Topology Genetic mutations Ground penetrating radar information security Processor scheduling information management Competitive intelligence

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Measuring Learning Difficulty Level by Comparing Ontologies

Measuring Learning Difficulty Level by Comparing Ontologies

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Dehai Zhang Yao Zhu The School of Software Yunnan University Kunming China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Chinese Academy of Sciences Graduate University Beijing China

It is a common practice that learners (human beings or intelligent agent) estimate the difficulty level of their learning tasks. In this paper, we present an ontology comparison based method to measure the difficulty level by comparing target knowledge the learner wants to learn and the knowledge the learner already has. Our method proposes a set of measures that compare the differences of ontologies from two perspectives, the structural and the conceptual. Based on the result of comparing two ontologies, we defined the learning difficulty formally, and gave an algorithm to compute it.

关键词： Ontologies intelligent agent Humans Birds Laboratories information processing Computers Knowledge representation Software measurement Electronic learning

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Distributed Application Integration Based on Agent Grid intelligent Platform

Distributed Application Integration Based on Agent Grid Inte...

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International Conference on Innovative computing, information and Control (ICICIC)

作者： Maoguang Wang Zhongzhi Shi Jiewen Luo Li Zeng Graduate School of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Due to the existence of a large amount of legacy information systems, how to obtain the information and integrate the legacy systems is becoming more and more concerned. This paper introduces the integration pattern based on agent grid. And we propose an agent grid intelligent platform called AGrIP, which can erase information islands and integrate external systems efficiently by encapsulating the distributed application system to agents. AGrIP adopts distributed hierarchical structure, which is capable of integrating external systems to provide the users various services dynamically. AGrIP has proved itself scalable and efficient during the industry projects development and application.

关键词： intelligent agent Application software Collaboration information systems Software libraries Connectors Computer science Laboratories information processing Testing

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Studies on Fuzzy information Measures

Studies on Fuzzy Information Measures

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Shifei Ding Zhongzhi Shi Shixiong Xia Fengxiang Jin College of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Institute for Computing Technology Beijing China College of Geoinformation Science and Engineering Shandong University of Science and Technology Qingdao China

Fuzzy information measures play an important part in measuring the similarity degree between two pattern vectors in fuzzy circumstance. In this paper, two new fuzzy information measures are set up. Firstly, the classical similarity measures, such as dissimilarity measure (DM) and similarity measure (SM) are studied, an axiom theory about fuzzy entropy is surveyed, and all kinds of definitions of fuzzy entropy are discussed. Secondly, based on the idea of Shannon information entropy, two concepts of fuzzy joint entropy and fuzzy conditional entropy are proposed and the basic properties of them are given and proved. At last, two new measures, fuzzy absolute information measure (FAIM) and fuzzy relative information measure (FRIM), are set up, which can be used to measure the similarity degree between a fuzzy set A and a fuzzy set B. So, It provides a new research approach for studies on pattern similarity measure.

关键词： Fuzzy sets Pattern recognition Delta modulation Samarium information entropy Random variables Probability distribution Educational institutions Mutual information Computer science

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3D Model Retrieval Based on V System Rotation Invariant Moments

3D Model Retrieval Based on V System Rotation Invariant Mome...

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International Conference on Natural Computation (ICNC)

作者： Zongmin Li Xiuping Men Yujie Liu Hua Li Department of Computer Science University of North Carolina Charlotte NC USA School Of Computer Science And Communication Engineering China University of Petroleum Shandong China Key Laboratory Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

This paper proposes a novel methodology based on V-system polynomials for content-based search and retrieval of 3D objects. The V-system is composed by piecewise polynomials, and is capable of exactly describing the geometric information expressed by the popularly and widely used spline curves and surface. We define rotation invariant moments-v-system moment by combining V-system polynomials with spherical harmonics. After preprocessing for translation and scale invariance, the spherical extension is used as input for V-system moments and the values of obtained coefficients are considered as components of the feature vector. We evaluate on the Princeton Shape Benchmark, the proposed descriptors regarding computational aspects and shape retrieval performance. The-performance of the proposed method is compared to some previous approaches by means of precision/recall tests. Generally, results show that the new approach introduces improvements in the SD model retrieval process.

关键词： Shape Content based retrieval Image retrieval Polynomials information retrieval Solid modeling Computer science Feature extraction Noise robustness Petroleum

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Quick emergency response plan generation system combining CBR and RBR

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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2007年第4期44卷 660-666页

作者： Luo, Jiewen Shi, Zhiping He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100049 China

It is important to generate response plan to deal with the emergency, which will greatly decrease the cost. The traditional method is using the expert system (rule based reasoning system) to generate the decision method. However, this approach is often slow and it is also hard to generate the reasoning rules sometimes. This paper combines two kinds of artificial intelligence techniques, case based reasoning (CBR) and rule based reasoning (RBR), to construct a quick emergency response plan generation system. It improves the performance and solves the knowledge acquisition bottleneck of traditional RBR systems. With the CBR tool CbrSys, decision support is generated from the previous emergency cases and solutions in database through the similarity retrieval. Once new emergency events happen, the case base is first retrieved to find the similar solutions. Only when the solution cases can not be obtained from the case base or the case solutions are not satisfactory, the RBR system is used to reason for solution and then the reasoning result is stored in the case base for future use. A series experiments are conducted to test its efficiency, which shows that it is superior to the traditional RBR system in response speed. The system is now applied in flood decision support system and city emergency inter-act project.

关键词： Case based reasoning

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3D model retrieval based on polar-radius surface moment invariants

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Ruan Jian Xue Bao/Journal of Software 2007年第SUPPL.期18卷 71-76页

作者： Li, Zong-Min Liu, Yu-Jie Li, Hua School of Computer Science and Communication Engineering China University of Petroleum Dongying 257061 China Key Laboratory Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

In this paper, a 3D polar-radius surface moment is proposed, and is used for 3D model retrieval. 3D polar-radius surface moments are new moment invariants based on 3D polar-radius moments including the invariance on shift, rotation and scale transforms. Compared to previous methods to compute such moments, the computational complexity for calculating 3D moments can be decreased considerably. With the help of these moment invariants, the 3D models are distinguished accurately.

关键词： information retrieval

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