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

作者： Xuchu Dong Haihong Yu Dantong Ouyang Yuxin Ye Yonggang Zhang Department of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun Jilin China

ISBN: (纸本)9781424476718

For the optimization problem about triangulation of Bayesian networks, a novel genetic algorithm, DHGA, is proposed in this paper. DHGA employs a heuristic-based mutation operation. Moreover, it uses population diversity to identify stagnation and convergence as well as to guide the search procedure. Experiments on representative benchmarks show that DHGA posses better performance and robustness than other swarm intelligence methods.

关键词： Bayesian methods

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Complete 3D model reconstruction using a depth sensor

Complete 3D model reconstruction using a depth sensor

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International Conference on Intelligent Computing and Integrated Systems (ICISS)

作者： Guangyu Mu Miao Liao Ruigang Yang Dantong Ouyang Zhiwen Xu Xiaoxin Guo Department of Computer Science and Technology Jilin University Changchun China Department of Engineering Center of Visualization and Virtual Environment University of Kentucky Lexington USA Department of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of MOE Jilin University Changchun China

We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and a depth sensor. The reconstruction of a 3D model consists of four key steps: (i) Initial alignment either feature tracking or the 4-points congruent sets algorithm is used to align surfaces captured at different frames. (ii)The iterative closest point (ICP) method is applied to further align the piecewise surfaces from the last step. (iii) The surfaces are merged into a whole 3D model by the volumetric method. (iv) In the refinement step, we fill holes and produce a complete 3D model that approximates the original model with robust repair of polygonal models. At last, we present the experimental results which show that the errors between our reconstructed model and the ground truth are less than 1%.

关键词： Biomedical imaging Uncertainty

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Intelligent techniques for business intelligence in healthcare

Intelligent techniques for business intelligence in healthca...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Maria Antonina Mach M. Salem Abdel-Badeeh Faculty of Management Computer Science and Finance University of Economics Wroclaw Poland Department of Computer Science Head of Medical Informatics and Knowledge Engineering Research Unit Faculty of Computer and Information sciences Ain Shams University Cairo Egypt

Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors. Intelligent techniques provide an effective computational methods and robust environment for business intelligence in the healthcare domain. From the technical point of view, healthcare based business intelligence systems, are complex to build, maintain and face the knowledge-acquisition difficulty. Efficiency of such systems is determined by the efficiency of the intelligent techniques and methodologies. This paper discusses AI based techniques and approaches which are used in such systems namely; expert systems, data mining and grid computing.

关键词： Medical services Bismuth Expert systems Data mining Organizations

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Semantic subspace learning with conditional significance vectors

Semantic subspace learning with conditional significance vec...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Tripathi, Nandita Wermter, Stefan Hung, Chihli Oakes, Michael Department of Computing Engineering and Technology University of Sunderland St Peters Way Sunderland SR6 0DD United Kingdom Institute for Knowledge Technology Department of Computer Science University of Hamburg Vogt Koelln Str. 30 22527 Hamburg Germany Department of Information Management Chung Yuan Christian University Chung-Li 32023 Taiwan

ISBN: (纸本)9781424469178

Subspace detection and processing is receiving more attention nowadays as a method to speed up search and reduce processing overload. Subspace Learning algorithms try to detect low dimensional subspaces in the data which minimize the intra-class separation while maximizing the inter-class separation. In this paper we present a novel technique using the maximum significance value to detect a semantic subspace. We further modify the document vector using conditional significance to represent the subspace. This enhances the distinction between classes within the subspace. We compare our method against TFIDF with PCA and show that it consistently outperforms the baseline with a large margin when tested with a wide variety of learning algorithms. Our results show that the combination of subspace detection and conditional significance vectors improves subspace learning. © 2010 IEEE.

关键词： Learning algorithms

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A Stable Stochastic Optimization Algorithm for Triangulation of Bayesian Networks

A Stable Stochastic Optimization Algorithm for Triangulation...

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International Workshop on knowledge Discovery and Data Mining (WKDD)

作者： Xuchu Dong Dantong Ouyang Yuxin Ye Shasha Feng Haihong Yu Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Changchun Jilin China

ISBN: (纸本)9781424453979

In this paper, we present a novel deterministic heuristic and a new genetic algorithm to solve the problem of optimal triangulation of Bayesian networks. The heuristic, named MinFillWeight, aims to select variables minimizing the multiplication of the weights on nodes of fill-in edges. The genetic algorithm, named GA-MFW, uses a new rank-reserving crossover operator and a 2-fold mutation mechanism utilizing the MinFillWeight heuristic. Experiments on representative benchmark show that the deterministic heuristic and the stochastic algorithm have good performance and stability to various problems.

关键词： Stochastic processes Bayesian methods Tree graphs Ethics Genetic algorithms Inference algorithms Genetic mutations Stability Ant colony optimization Data mining

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Impacts of uniaxial mechanical stress on high frequency performance of MOSFETs

Impacts of uniaxial mechanical stress on high frequency perf...

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3rd Electronics System Integration Technology Conference, ESTC 2010

作者： Han, Younggun Koganemaru, Masaaki Ikeda, Toru Miyazaki, Noriyuki Choi, Woon Tomokage, Hajime Knowledge Cluster Initiative Researcher Fukuoka Science and Technology Foundation 3-8-33 Momochihama Sawara-ku Fukuoka 814-0001 Japan Mechanics and Electronics Research Institute Fukuoka Industrial Technology Center 3-6-1 Norimatsu Yahatanishi-ku Kitakyushu 807-0831 Japan Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Yoshida-Honmachi Sakyo-ku Kyoto 606-8501 Japan Department of Electronics Engineering and Computer Science Fukuoka University 8-19-1 Nanakuma Jonan-ku Fukuoka 814-0189 Japan

ISBN: (纸本)9781424485536

The effects of uniaxial mechanical stress on the radio frequency (RF) performance of n- and p-metal-oxide-semiconductor field effect transistors (MOSFETs) fabricated on (100) Si wafer are investigated up to 10 GHz. Uniaxial mechanical stress is applied to the MOSFETs parallel to the direction of drain current flow using a four-point bending fixture. Under tensile stress, the gate transconductance (gm) increases in the n-MOSFETs while it decreases in the p-MOSFETs, whereas the results were vice versa for compressive stress. These tendencies are same to the effects of uniaxial mechanical stress on direct current (DC) transconductance of the MOSFETs, therefore, it is considered that the gm with RF is dependent on stress-induced sub-band splitting of Si. The total gate capacitance (CG) extracted from scattering parameters increases (decreases) under tensile (compressive) stress for both n- and p-MOSFETs, which is explained by the variation of the effective mass perpendicular to the Si/SiO2 interface. The cut-off frequencies (fT) estimated from the gm and the CG varies in inverse proportion to the gate capacitance variation.

关键词： MOSFET devices

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A Multi-heuristic Cooperative Ant Colony System for Optimizing Elimination Ordering of Bayesian Networks

A Multi-heuristic Cooperative Ant Colony System for Optimizi...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Xuchu Dong Dantong Ouyang Yuxin Ye Haihong Yu Yonggang Zhang Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Changchun Jilin China

To solve the problem of searching for an optimal elimination ordering of Bayesian networks, a novel effective heuristic, MinSum Weight, and an ACS approach incorporated with multi-heuristic mechanism are proposed. The ACS approach named MHC-ACS utilizes a set of heuristics to direct the ants moving in the search space. The cooperation of multiple heuristics helps ants explore more regions. Moreover, the most appropriate heuristic will be identified and be reinforced with the evolution of the whole system. Experiments demonstrate that MHC-ACS has a better performance than other swarm intelligence methods.

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Describing the semantic relation of the deep web query interfaces using ontology extended LAV

Journal of Software

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Journal of Software 2010年第1期5卷 89-98页

作者： Liang, Hao Zuo, Wan-Li Ren, Fei Department of Computer Science and Technology Jilin University Jilin Changchun China Department of Information Changchun Taxation College Jilin Changchun China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun China

The key element in a Deep Web information fusion system is the data source modeling problem, which is the determinant technical factor of the whole system. The query interfaces provided by the Deep Web are the clues to disclose the hidden schemas. But the complicated semantic relationships in the query interfaces lead to the lower generality and ability of local as view (LAV) method in the traditional information fusion system. An approach of extracting attributes and semantic relationships from the interfaces utilizing Ontology is present in this paper, and WordNet is introduced as an Ontology instrument. The semantic relationships between semantic related attributes are evaluated by the WordNet. The meaningless attributes are instantiated by instance information embedded in the interfaces. A semantic matrix is generated and used to evaluate the semantic related groups in the specific domains. The expression ability of LAV is extended by the mapping and matching mechanism based on the semantic related groups. The experiment is carried out on the famous dataset, and the results show the efficiency of Ontology extended LAV of building mappings between local schemas and mediator schema. © 2010 ACADEMY PUBLISHER.

关键词： Ontology

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Global Top-k Aggregate Queries Based on X-tuple in Uncertain Database

Global Top-k Aggregate Queries Based on X-tuple in Uncertain...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Dexi Liu Changxuan Wan Naixue Xiong Jong Hyuk Park Sang-Soo Yeoe School of Information Technology Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China Department of Computer Science Georgia State University Atlanta GA USA Department of Computer Science and Engineering Seoul National University of Technology Seoul South Korea Division of Computer Engineering Mokwon University Daejeon South Korea

ISBN: (纸本)9781424467013;9780769540191

A Top-k aggregate query, which is a powerful technique when dealing with large quantity of data, ranks groups of tuples by their aggregate values and returns k groups with the highest aggregate values. However, compared to Top-k in traditional databases, queries over uncertain database are more complicated because of the existence of exponential possible worlds. As a powerful semantic of Top-k in uncertain database, Global Top-k return k highest-ranked tuples according to their probabilities of being in the Top-k answers in possible worlds. We propose a x-tuple based method to process Global Top-k aggregate queries in uncertain database. Our method has two levels, group state generation and G-x-Top-k query processing. In the former level, group states, which satisfy the properties of x-tuple, are generated one after the other according to their aggregate values, while in the latter level, dynamic programming based Global x-tuple Top-k query processing are employed to return the answers. Comprehensive experiments on different data sets demonstrate the effectiveness of the proposed solutions.

关键词： Aggregates Databases knowledge engineering Query processing computer networks Power engineering computing Data engineering Power engineering and energy Dynamic programming Radar imaging

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Performance study on logging to another main memory database

Performance study on logging to another main memory database

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International Conference on New Trends in Information and Service science, NISS

作者： Xiongpai Qin Xiaoyun Zhou Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing 100872 China Department of Computer Science and Technology Xuzhou Normal University Jiangsu 221008 China

In update intensive main memory database applications, huge volume of log records is generated, to maintain the ACID properties of the database system, the log records should be persistent efficiently. Delegating logging of one main memory database to another main memory database is proposed. The scheme is elaborated in detail in terms of architecture, logging & safeness levels, checkpointing, and recovery. Strict durability and relax durability are provided. When some form of non-volatile memory is used to temporarily holding log records, not only logging efficiency is improved, but also the scheme could guarantee full ACID of the system. We also propose using parallel logging to speedup log persistence by writing logs to multiple disks in parallel. Since interconnection network techniques progress by leaps and bounds, the scheme eliminates the concern about whether the system's overall performance may be slowed down by bandwidth and latency limitations. Experiment results demonstrate the feasibility of the proposal.

关键词： Checkpointing Database systems Transaction databases Network servers Availability Nonvolatile memory Writing Communication industry Defense industry Wood industry

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