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Specification design for an XML mining configurable application

Specification design for an XML mining configurable applicat...

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作者： Durán, Cristal Karina Galindo Juganaru-Mathieu, Mihaela Vázquez, Héctor Javier Master's Computer Science Program Universidad Autónoma Metropolitana Unidad Azcapotzalco Avenida San Pablo 180 Col. Reynosa Tamaulipas México D.F. C.P. 02200 Mexico Laboratoire en Sciences et Technologies de l'Information Institut H. Fayol Ecole Nationale Supérieure des Mines de Saint Étienne 158 cours Fauriel 42023 Saint Étienne Cedex 2 France Departamento de Sistemas Universidad Autónoma Metropolitana Unidad Azcapotzalco Avenida San Pablo 180 Col. Reynosa Tamaulipas México D.F. C.P. 02200 Mexico Mexico

ISBN: (纸本)9789881821034

This work presents a methodology for XML mining centered on the process of extracting document features related to structure and content. This information is used to obtain similarity measures and to cluster XML documents. A conceptual framework is proposed to design an application with the primary goal of implementing a modular and easily configurable tool for mining large XML document collections.

关键词： XML

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Tour route planning multimedia system with particle swarm optimization designed

Tour route planning multimedia system with particle swarm op...

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作者： Chen, Ruey-Maw Yan, Ah-Taur Lin, Chung-Hsien Department of Computer Science and Information Engineering NCUT Taichung 41101 Taiwan Master Program of Landscape and Recreation Feng Chia University Taichung 40724 Taiwan

ISBN: (纸本)9788988678183

This work suggests an adaptive tour route planning multimedia system designed to meet the needs of different tourists. Tour route planning is a 'traveling salesman problem' (TSP) type problem. TSP is an example of a combinatorial optimization problem and is known as NP-hard. As studied by many researchers exact, heuristic (approximation) and metaheuristic algorithms are usually applied for NP problems. A promising meta-heuristic algorithm is proposed to solve the tour route planning problems which involves minimization of total traveling time, total travel expenses or the combined total traveling time and expenses. Moreover, a simple exchange local search heuristic is also applied to increase the exploitation (intensification) competence of the scheme. Restated, finding out the optimal planned tour using particle swarm optimization and increasing performance by exchange heuristic scheme is suggested. Simulation results indicate the PSO with exchange heuristic designed provides a promising strategy, and is efficient for solving tour route planning problems.

关键词： Traveling salesman problem

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DALA project: Digital archive system for long term access

DALA project: Digital archive system for long term access

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作者： Riasetiawan, Mardhani Mahmood, Ahmad Kamil Master of Information Technology Program Universitas Gadjah Mada Jalan Grafika No 2 Kompleks UGM Yogyakarta Indonesia Computer and Information Science Department Universiti Teknologi PETRONAS Bandar Seri Iskandar 31750 Perak Malaysia

ISBN: (纸本)9786029747911

The scientific environment have face the current issues in the data landscape change. The volume, type, formats of scientific data now has being exploding. The industry standard require the long term access and use of digital data for many reasons such as proof of scientific experiments, evidence and proof of findings. It is need to be interactive, reproducible, collaborative, and dynamic and have the reputation and influences for collaborative research. In this research, we introduce DALA (Digital Archive System for Long Term Access) project as the scientific collaboration framework. The project has built for manage and preserve scientific data based on GForge system, and implement several data process. The frameworks have capabilities in handling data collection, data processing, and data archiving. The research aimed is to the new framework for scientific collaboration works. © 2010 University Sains Malaysia.

关键词： Data handling

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An efficient ICA approach based on neural network framework for biomedical applications

An efficient ICA approach based on neural network framework ...

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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： Lin, Yue-Der Hsu, Chih-Yu Chen, Hung-Yun Tseng, Kuo-Kun Department of Automatic Control Engineering Master Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Information and Communication Engineering Chaoyang University of Technology Wufeng Taichung County Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Computer Science and Engineering HungKuang University Taichung Taiwan

ISBN: (纸本)9781424469178

The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals including electrocardiogram (ECG), electromyogram (EMG) and 60-Hz sinusoid are linearly mixed for experimental tests. The mean-square errors (MSE) between the original sources and the separated signals are calculated for the evaluation of separation performance. These results demonstrated that the proposed block-wise approach can achieve the desired separation performance of signals in a more efficient way. © 2010 IEEE.

关键词： Independent component analysis

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An efficient ICA approach based on neural network framework for biomedical applications

An efficient ICA approach based on neural network framework ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Yue-Der Lin Chih-Yu Hsu Hung-Yun Chen Kuo-Kun Tseng Department of Automatic Control Engineering and Master Program of Biomedical Informatics and Biomedical Engineering Feng Chia University FCU Taichung Taiwan Department of Information and Communication Engineering Chao Yang University of Technology Taichung Taiwan Department of Automatic Control Engineering Feng Chia University FCU Taichung Taiwan Department of Computer Science and Engineering Hung Kuang University Taichung Taiwan

关键词： Equations Algorithm design and analysis Electrocardiography Electromyography Source separation Iterative algorithm Indexes

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A Seamless Handover Scheme with Pre-registration in NEMO

A Seamless Handover Scheme with Pre-registration in NEMO

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

作者： Ying-Hong Wang Kuo-Feng Huang Hsin-Yi Ho Master's Program Networking and Communication Department of Computer Science and Information Engineering Tamkang University Taipei Taiwan

IETF(Internet Engineering Task Force) proposed the management mechanism of NEMO (network mobility) to support network mobility. The mobility management of NEMO is an extension of mobile IPv6 (MIPv6), and it inherits also all the drawbacks of MIPv6 such as inefficient routing, high handover latency, packet loss rate, and so on. The purpose of method which is based on the public transportations (e.g. Train, MRT, Bus etc.) with fixed path as NEMO application solved the handover latency problem and packet lost problem. We propose a seamless handover scheme with pre-registration to solve these problems. The proposed handover scheme can decrease handover latency and packet lost in session for NEMO. The aim is to procure seamless communication when the whole network is movement.

关键词： Mobile communication Delay Transportation Communication equipment IP networks Application software computer science computer network management Conference management Engineering management

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Comparisons of classifier algorithms: Bayesian network, C4.5, decision forest and NBTree for Course Registration Planning model of undergraduate students

Comparisons of classifier algorithms: Bayesian network, C4.5...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Pathom Pumpuang Anongnart Srivihok Prasong Praneetpolgrang Department of Computer Science Faculty of Science Kasetsart University Bangkok Thailand Master of Science Program in Information Technology Graduate School Sripatum University Bangkok Thailand

The success rate of computer science and engineering students in private universities are not high. It is helpful to find the model to assist students in registration planning. The objective of this research is to propose the classifier algorithm for building course registration planning model (CRPM) from historical dataset. The algorithm is selected by comparing performances of four classifiers include Bayesian network, C4.5, Decision Forest and NBTree. The dataset were obtained from student enrollments including grade point average (GPA) and grades of undergraduate students whose majors were computer science or computer engineering. These dataset included grades in each subject of first and second year students from a private university in Thailand. Results showed that NBTree seemed to be the best of four classifiers which had highest prediction power. NBTree was used to generate CRP model which can be used to predict student class of GPA and consider student course sequences for registration planning.

关键词： Bayesian methods computer science Predictive models Data mining Decision trees Noise cancellation information technology Data analysis computer science education Path planning

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Achieving compelling student comprehension of complex information structures for both on-site and on-line courses

Achieving compelling student comprehension of complex inform...

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2008 ASEE Annual Conference and Exposition

作者： Uhlig, Ronald Farahani, Alireza Viswanathan, Shekar Evans, Howard Sotelo, Mark National University Department of Computer Science and Information Systems School of Engineering and Technology National University Wireless Communications for the Master ot Science in Wireless Communications Program International Telecommunications Academy School of Engineering and Technology Department of Applied Engineering Lead Faculty for Engineering Management and Homeland Security and Safety Engineering Academic Computing for National University

Teaching engineering and technology subjects involves conveying understanding of abstract information structures and processes such as complex telecommunications protocols, complex mathematical concepts, and data structures. These are multidimensional and can be difficult to grasp quickly. Supported by a Hewlett-Packard (HP) Technology for Teaching grant, the School of Engineering and Technology at National University has embarked on a project to enable students to grasp these complex concepts more quickly and easily, using continuous dialog among students and instructors as the structures are first introduced and then examined from multiple perspectives through real-time interaction among students, small groups, and instructors. HP Wireless Tablet PCs are used to discuss and experiment with diagrams and processes in realtime. This allows combining lectures and problem-solving sessions into a single class session. Our hypothesis is that: 1) an in-depth learning of theory is accomplished, and 2) student engagement is enhanced. Presentation of theory by the instructor is integrated with application while the theory is still in the student's short-term memory. Students no longer have to wait for a separate session such as a recitation session to apply the concepts. This approach often takes less time. In addition to accelerating the learning process, expert instructors find this approach more rewarding as students grasp new concepts more quickly. Analysis of data captured from both students and instructors are presented to support our hypotheses, and our results are compared with similar research carried out by other universities. In addition, the level of interaction enabled by the use of HP Tablets in on-line classes is discussed. The best teaching tools available in existing on-line teaching platforms are compared with the additional tools available in on-site courses when every student has a wireless Tablet PC and specific recommendations are made to on-line teachi

关键词： Students

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Using Bayesian Network for planning course registration model for undergraduate students

Using Bayesian Network for planning course registration mode...

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Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST

作者： Pathom Pumpuang Anongnart Srivihok Prasong Praneetpolgrang Somchai Numprasertchai Department of Computer Science Faculty of Science Kasetsart University Bangkok Thailand Master of Science Program in Information Technology Graduate School Sripatum University Bangkok Thailand Department of Computer Engineering Faculty of Engineer Kasetsart University Bangkok Thailand

ISBN: (纸本)9781424414895

The objective of this study is to propose a model for planning course registration by using a data mining technique: Bayesian network. The proposed model can be used to predict the sequences of courses to be registered by undergraduate students whose majors are computer science or engineering. The data set was obtained from student enrollments and include GPA and grades in each subject for first and second year students from a private university in Thailand. Evaluations show that the predictive power of this model is acceptable. The implications from this studypsilas findings suggest that the model can be applied for advising students in planning courses to be registered in each semester. Further, the model appears to be useful for improving curriculum development in order to fit both studentspsila and university requirements.

关键词： Bayesian methods Biological system modeling computers Education Computational modeling Brain modeling Brain models

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Real-time recognition of traffic signs using opponent color filters

Real-time recognition of traffic signs using opponent color ...

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14th World Congress on Intelligent Transport Systems, ITS 2007

作者： Baba, Kyoko Hirai, Yuzo Master's Program in Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan

ISBN: (纸本)9781617387777

In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of signs. After normalizing the size of symbol, structural features are calculated to identify the sign. 5572 segmented images are used to design the algorithm. In a real-time system, the same sign in a sequence of frames is tracked, and a majority vote is used to integrate the recognition results. For test data, 93.8% recall rate and 99.3% precision rate could be attained. In-vehicle experiment also showed high recall and precision rates.

关键词： Traffic signs

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