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Optimal Data Artifact Determination for Mobile SQL Server CE Database Buffering as a Way to Solve the Problem of Low Performance of Portable Mobile Devices

Optimal Data Artifact Determination for Mobile SQL Server CE...

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International Conference on computer engineering and Applications (ICCEA)

作者： Ondrej Krejcar Dalibor Janckulik Leona Motalova Center of Applied Cybernetics Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424460793

The paper describes a problem of prebuffering on wireless connected mobile devices through a mobile database (Mobile SQL Server CE) as a solution for low throughput on wireless connection of mobile devices. As a second important area the optimal data artifact determination is described with a compare of two selected artifact size. The prebuffering control is based on wireless localization and positioning inside the buildings. Also the proposed technique is possible to adapt using others wireless communication networks or GPS positioning.

关键词： Databases Portable computers Testing Mobile computing Network servers Information systems Web server Smart phones Management information systems computer applications

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User adaptation improvement using a software components for mobile control systems in .NET Compact Framework

User adaptation improvement using a software components for ...

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International Conference on Networking and Information Technology (ICNIT)

作者： Ondrej Krejcar Jiri Cajka Department of Measurement and Control Center of Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424475797;9781424475773;9781424475780

A huge number of components for development tool of Microsoft Visual Studio is possible to find on internet. They are however only extensive, or graphically modified standard components that belongs to standard Visual Studio. Components development for industrial using is made by specialized firms. Such components are considerably price expensive. Aim of this project is to form at least small parts of components for HMI (Human Machine interface) on a basis of PDA with Windows Mobile with a usage of Microsoft Visual Studio 2008, eventually of other needed Open Source libraries.

关键词： control systems Libraries Graphics Displays Information technology Electric variables measurement computer science Internet Humans Mobile computing

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Stress Testing Data Access via a Web Service for Determination of Adequate Server Hardware for Developed Software Solution

Stress Testing Data Access via a Web Service for Determinati...

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International Conference on computer engineering and Applications (ICCEA)

作者： Leona Motalova Ondrej Krejcar Center of Applied Cybernetics Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424460793

The aim of this project is stress testing of the system for data management and planning of the operations developed for home care agencies which has to be upgrading of the current system based on the older database of Microsoft Access product. The part of the system is a mobile application that allows employees to edit the records of patients directly in the terrain. The whole system, including applications developed for the stress testing is based on Microsoft technology .NET. Our Stress Testing application allows testing a selected problem areas to find any limitations before the tested developing solution will be set up at customer. By the help of our test application, the hardware solution for the server was selected on the base of selected home care agency needs.

关键词： Stress Software testing Web services Hardware Databases System testing Displays Random number generation Time factors Time measurement

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An Algorithm for Discrete State Sequence and Trajectory Optimization for Hybrid Systems with Partitioned State Space

An Algorithm for Discrete State Sequence and Trajectory Opti...

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2010 49th IEEE Conference on Decision and control

作者： Benjamin Passenberg Marion Sobotka Olaf Stursberg Martin Buss Peter E. Caines Institute of Automatic Control Department of Electrical Engineering and Information Technology Technische Universitat Munchen Munchen Germany Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany Department of Electrical and Computer Engineering and the Center for Intelligent Machines McGill University Montreal Canada

ISBN: (纸本)9781424477456

An algorithm for hybrid optimal control is proposed that varies the discrete state sequence based on gradient information during the search for an optimal trajectory. The algorithm is developed for hybrid systems with partitioned state space. It uses a version of the hybrid minimum principle that allows optimal trajectories to pass through intersections of switching manifolds, which enables the algorithm to vary the sequence. Consequently, the combinatorial complexity of former algorithms can be avoided, since not each possible sequence has to be investigated separately anymore. The convergence of the algorithm is proven and a numerical example demonstrates the efficiency of the algorithm.

关键词： Switches Manifolds Trajectory Complexity theory Partitioning algorithms Convergence Aerospace electronics

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The Minimum Principle for Hybrid Systems with Partitioned State Space and Unspecified Discrete State Sequence

The Minimum Principle for Hybrid Systems with Partitioned St...

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2010 49th IEEE Conference on Decision and control

作者： Benjamin Passenberg Peter E. Caines Marion Sobotka Olaf Stursberg Martin Buss Institute of Automatic Control Department of Electrical Engineering and Information Technology Technische Universitat Munchen Munchen Germany Department of Electrical and Computer Engineering and the Center for Intelligent Machines McGill University Montreal Canada Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9781424477456

The hybrid minimum principle (HMP) gives necessary conditions to be satisfied for optimal solutions of a hybrid dynamical system. In particular, the HMP accounts for autonomous switching between discrete states that occurs whenever the trajectory hits switching manifolds. In this paper, the existing HMP is extended for hybrid systems with partitioned state space to provide necessary conditions for optimal trajectories that pass through an intersection of switching manifolds. This extension is especially useful for the numerical solution of hybrid optimal control problems as it allows for algorithms with significant reduction of computational complexity. Algorithms based on previous versions of the HMP solve separate optimal control problems for each possible sequence of discrete states. The extension enables us to consider the optimal sequence as subject of optimal control that is varied and finally determined during a single optimization run. A first numerical result illustrates the effectiveness of an algorithm based on the extended HMP.

关键词： state space minimum principle hybrid systems Manifolds Optimal control DYNAMICAL SYSTEMS discrete element

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Feature selection for semi-supervised multi-label learning with application to gene function analysis 10

Feature selection for semi-supervised multi-label learning w...

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Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology

作者： Li, Guo-Zheng You, Mingyu Ge, Lei Yang, Jack Y. Yang, Mary Qu MOE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 201804 China Department of Control Science and Engineering Tongji University Shanghai 201804 China School of Computer Science and Engineering Shanghai University Shanghai 200072 China Purdue Univ. ECE West Lafayette IN 47907 United States Indiana Univ. Bioinformatics Center Indianapolis IN 46202 United States

ISBN: (纸本)9781450304382

This paper investigates gene function annotation of Yeast by using semi-supervised multi-label learning. Multi-label learning has been a hot topic in the bioinformatics field, but there are many samples unlabeled. Semi-supervised learning may be employed to utilize the unlabeled data. This paper proposes a novel semi-supervised multi-label learning algorithm COMN by combining Co-Training with ML-kNN to utilize the unlabeled yeast gene data to improve modeling accuracy of function annotation. Furthermore, an embedded feature selection algorithm PRECOMN is proposed to perform feature selection for COMN to remove the irrelevant and redundant features. Experimental results on one benchmark data set of Yeast show COMN and PRECOMN perform better than the original multi-label learning algorithm ML-kNN. Furthermore PRECOMN improves generalization performance of COMN. Copyright © 2010 ACM.

关键词： Feature Selection

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Impact of black hole attack on multicast in ad hoc network (IBAMA)

Impact of black hole attack on multicast in ad hoc network (...

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IEEE International Conference on Computational Intelligence and Computing Research

作者： V. Palanisamy P. Annadurai S. Vijayalakshmi Department of Computer Science and Engineering Alagappa University Karaikudi Tamil Nadu India Department of Computer Science Kanchi Mamunivar Center of Postgraduate Studies (Autonomous) Government of Puducherry Puducherry India Department of MCA I. F. E. T College of Engineering Villupuram Tamil Nadu India

In wireless and distributed nature of Ad hoc networks, security has become a more sophisticated problem than security in other networks, due to the open nature and the lack of infrastructure of such networks. This paper is based on Blackhole attack. This attack node first needs to invade into the multicast forwarding group. It then absorbs all the data packets in the network and drops fully or partially. So, that the destination node does not get the data packets fully and this will affect the packet delivery ratio (PDR). In this paper, the goal is to measure the impact of Balckhole attack and their node positions which affect the performance metrics of packet delivery with respect to three scenarios: Black hole attack node near sender, blackhole attack node near receiver and anywhere within the network. The performance of PDR with respect to above three scenarios is also compared.

关键词： Receivers Mobile computing Routing protocols Mobile ad hoc networks Routing Mobile communication

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Gene selection by using an improved Fast Correlation-Based Filter

Gene selection by using an improved Fast Correlation-Based F...

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IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： Xue-Qiang Zeng Guo-Zheng Li Su-Fen Chen Computer Center University of Nanchang Nanchang China Department of Control Science & Engineering University of Tongji Shanghai China College of Information Engineering Nanchang Institute of Technology Nanchang China

Among various redundancy based gene selection methods, the Fast Correlation-Based Filter (FCBF) is one of the most effective. FCBF works in an iterative way, where one predominant feature is selected at each step and then some redundant features are removed by the selected one. However, the size of selected feature subset is not considered by FCBF, and weakly relevant features are too inclined to be eliminated. Aiming at this problem, this paper proposes a new approximate Markov blanket definition for FCBF, which strengthens the criterion for redundant features. Based on the new definition, the size of the selected feature set is used to adjust the criterion dynamically. Experimental results on several real gene data sets demonstrated the outstanding performance of the proposed algorithm compared with other several state-of-arts techniques.

关键词： Markov processes Redundancy Approximation algorithms Support vector machines Artificial neural networks Gene expression Bioinformatics

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Stochastic Differential Dynamic Programming

Stochastic Differential Dynamic Programming

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American control Conference

作者： Evangelos Theodorou Yuval Tassa Emo Todorov Computational Learning and Motor Control Lab Departments of Computer Science and Neuroscience University of Southern California Interdisciplinary Center for Neural Computation Hebrew University Jerusalem Israel Department of Computer Science and Engineering and the Department of Applied Mathematics University of Washington Seattle WA

ISBN: (纸本)9781424474264

Although there has been a significant amount of work in the area of stochastic optimal control theory towards the development of new algorithms, the problem of how to control a stochastic nonlinear system remains an open research topic. Recent iterative linear quadratic optimal control methods iLQG [1], [2] handle control and state multiplicative noise while they are derived based on first order approximation of dynamics. On the other hand, methods such as Differential Dynamic Programming expand the dynamics up to the second order but so far they can handle nonlinear systems with additive noise. In this work we present a generalization of the classic Differential Dynamic Programming algorithm. We assume the existence of state and control multiplicative process noise, and proceed to derive the second-order expansion of the cost-to-go. We find the correction terms that arise from the stochastic assumption. Despite having quartic and cubic terms in the initial expression, we show that these vanish, leaving us with the same quadratic structure as standard DDP.

关键词： dynamic programming theory of optimal control multiplicative noise Quartic stochastic derivative Additive noise correct entry dynamics Work area Handles

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Selection of optimal EEG channels for classification of signals correlated with alcohol abusers

Selection of optimal EEG channels for classification of sign...

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International Conference on Signal Processing Proceedings (ICSP)

作者： M. Alavash Shooshtari S. Kamaledin Setarehdan Biomedical Engineering Department Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran

Many brain events and disorders can be detected by analyzing electroencephalograms (EEGs). Also the availability of quantitative biological markers that are correlated with qualitative psychiatric phenotypes helps us to utilize automated methods to diagnose and classify these phenotypes. One such a psychiatric phenotype is alcoholism. In this study a method to select an optimal subset of EEG channels for the purpose of practical classification of alcohol abusers from normal subjects is proposed, which is based on combination of model-based spectral analysis and correlation matrices. The EEG signals were recorded when the subjects were represented with single trial visual stimuli. The proposed method proved successful in selecting an optimum number of channels which achieved acceptable average classification accuracy.

关键词： Electroencephalography Support vector machines Correlation Visualization Accuracy Feature extraction Brain modeling

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