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检索条件"机构=Dept. of Information Engineering and Computer Science and Mathematics"

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Video tonal stabilization with automatic multiple anchor frames

Video tonal stabilization with automatic multiple anchor fra...

引用

IEEE International Symposium on Consumer Electronics (ISCE)

作者： Christian Simon In Kyu Park School of Computer Science Binus University Jakarta Indonesia Dept. of Information and Communication Engineering Inha University Incheon Korea

This paper proposes an algorithm to fix the tone inconsistency in captured video especially by mobile devices such as smartphone and black box cameras. We propose a method to stabilize the inconsistent tone of video f... 详细信息

关键词： Image color analysis Histograms Fluctuations Educational institutions Lighting Clustering algorithms Mobile handsets

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Probabilistic security constrained optimal power flow for a mixed HVAC and HVDC grid with stochastic infeed

Probabilistic security constrained optimal power flow for a ...

引用

Power Systems Computation Conference (PSCC)

作者： Roger Wiget Maria Vrakopoulou Goran Andersson Institute of Information Science Beijing Jiaotong University China Dept. of Information Science & Engineering SJB Institute of Technology Bangalore India Dept. of Computer Science & Engineering Institute of Technology Nagamangala India Department of Physical Elemonics Tokyo Institute of Technology Tokyo Japan

ISBN: (纸本)9781479940950

This paper formulates a probabilistic security-constraint optimal power flow considering a combination of an AC system and a multi-terminal HVDC grid that can depict the future power systems. The probabilistic formulation is discussed considering uncertainty in the generation infeed (e.g. wind power). To achieve a tractable problem we use a linearized version of the power flow equations of the combined grid where the voltage angles (of the HVAC grid) and the voltage magnitudes (of the HVDC grid) are eliminated. The flexibility introduced by the HVDC terminals is exploited for control of the power flows in a corrective way, i.e adjust their setpoints after the occurrence of a contingency. The method is applied at the three area IEEE RTS96 test system and the costs, power flows and security levels are investigated. A comparison between a deterministic and the proposed probabilistic method is done.

关键词： HVDC transmission Probabilistic logic Generators Wind power generation Security Equations Vectors

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Routine Based User Classification

Routine Based User Classification

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Chia-Hua Wu Ren-Hung Hwang Dept. of Computer Science and Information Engineering National Chung-Cheng University Chiayi Taiwan R.O.C

ISBN: (纸本)9781479959686

Sensing technologies have made the tracking of users' daily trajectories a common service, such as location based service, children/elders tracking service, etc. This information can also be analyzed to discover some interesting and meaningful information about users. In this paper, we study the Routine Based Classification (RBC) approach for classifying users into different groups. For comparing two routines, we modify the Smith-Waterman alignment algorithm to increase the accuracy of similarity calculation. Term Frequency-Inverse Document Frequency (TF/IDF) is then used for classifying users based on their routines. To further improve the accuracy of classification, we propose the "group routine pattern" concept which refers to some common routines among the users of the same group. Our numerical results show that the group routine pattern concept yields higher classification accuracy than that of the Support Vector Machines (SVM) approach as well as that of an existing approach proposed in the literature.

关键词： Accuracy Data preprocessing Trajectory Classification algorithms Testing Global Positioning System Training

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Toward mining anomalous behavior from big moving trajectories in surveillance video

Toward mining anomalous behavior from big moving trajectorie...

引用

IEEE International Conference on Automation science and engineering (CASE)

作者： Chien-Wei Chang Min-Hsiang Yang Cheng-Chun Li Kun-Ta Chuang Dept. of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan R.O.C

ISBN: (纸本)9781479952847

With the dramatic growth of using video cameras for applications of public surveillances in recent years, detection of public threats or security issues on surveillances becomes possible nowadays. How to identify anomalous behavior from surveillance videos has been identified as an effective manner for detecting critical events in the public avenue. We in this paper discuss a new application paradigm to identify anomalous moving behavior by utilizing techniques of mining trajectories which are extracted from moving objects in the surveillance video. Our experimental results show the effectiveness of our proposed algorithms, demonstrating its promising applicability in the big data era.

关键词： Trajectory Surveillance Data mining Vehicles Educational institutions Algorithm design and analysis Training

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Clustered Trees with Minimum Inter-cluster Distance

Clustered Trees with Minimum Inter-cluster Distance

引用

IEEE International Conference on Computational science and engineering, CSE

作者： Bang Ye Wu Chen-Wan Lin Dept. of Computer Science and Information Engineering National Chung-Cheng University Chiayi Taiwan R.O.C

ISBN: (纸本)9781479979820

For a given edge-weighted graph G = (V, E, w), in which the vertices are partitioned into clusters R = {R 1 , R 2 , ... , R k }, a spanning tree of G is a clustered spanning tree if the subtrees spanning the clusters are mutually disjoint. In this paper we study the problem of constructing a clustered spanning tree such that the total distance summed over all vertices of different clusters is minimized. We show that the problem is polynomial-time solvable when the number of clusters k is 2 and NP-hard for k = 3. We also present a 2-approximation algorithm for the case of 3 clusters.

关键词： Approximation algorithms Approximation methods Routing Clustering algorithms Time complexity computer science Polynomials

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Amoeba-Like Exploring for Grouped Mobile Wireless Sensor Networks

Amoeba-Like Exploring for Grouped Mobile Wireless Sensor Net...

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IEEE International Conference on Ubi-Media Computing

作者： Chang Wu Yu Tung Kuang Wu Rei Heng Cheng Chien Yeh Wang Wen Ouyang Dept. of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan R. O. C Dept. of Information Management National Changhua University of Education Changhua Taiwan R. O. C Dept. of Computer Science and Information Engineering Yuanpei University Hsinchu Taiwan R. O. C

Mobile wireless sensor networks may be applied to diverse areas, and have been receiving increasingly attentions. However, these studies do not seem to address the issue regarding how group of mobile sensor nodes move autonomously, explore and monitor area of interest without exploiting geographic information. Accordingly, this paper develops two amoeba-like algorithms, folding and elastic algorithms, to cope with the above mentioned problem. Folding algorithm operates by assigning some mobile sensor node stay in each intersection, so that it can guide and coordinate the movement of the whole group. Elastic algorithm selects a cluster head for commanding movement directions of the remaining nodes to collect necessary geographic information and determine the subsequent movements. Simulations are conducted to evaluate the two proposed algorithms.

关键词： Mobile communication Mobile computing Wireless sensor networks Sensors Clustering algorithms Navigation Educational institutions

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An approach based on feature fusion for the recognition of isolated handwritten Kannada numerals

An approach based on feature fusion for the recognition of i...

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International Conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Mamatha Hosahalli Ramappa Sucharitha Srirangaprasad Srikantamurthy Krishnamurthy Dept. of Information Science and Engineering P.E.S. Institute of Technology (West Campus) Bangalore India Dept. of Computer Science Indiana University Bloomington Indiana USA Dept. of Computer Science and Engineering P.E.S. Institute of Technology (South Campus) Bangalore India

ISBN: (纸本)9781479924059

An increase in data size, number of classes, dimension of the feature space and interclass separability in any pattern classification task, affect the performance of any classifier. It is essential to know the effect of the training dataset size on the recognition performance of a feature extraction method and classifier. In this paper, an attempt is made to measure the performance of the classifier by testing the classifier with two different datasets of different sizes. A desirable recognition performance can be achieved by data fusion in any practical classification applications, if the number of classes and multiple feature sets for pattern samples are given. A framework for feature selection and feature fusion has been proposed in this paper to increase the performance of classification. From the experimental results it is seen that there is an increase of 13.20% in the recognition accuracy.

关键词： Feature extraction Accuracy Standards Vectors Databases Transforms Character recognition

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EEG based Artificial Learning of Motor Coordination for Visually Inspired Task using Neural Networks

EEG based Artificial Learning of Motor Coordination for Visu...

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International Joint Conference on Neural Networks

作者： Shreyasi Datta Anwesha Khasnobish Amit Konar D. N. Tibarewala Atulya K. Nagar Dept. of Electronics and Telecommunication Engineering Jadavpur University School of Bioscience and Engineering Jadavpur University Mathematics and Computer Science Department Liverpool Hope University

ISBN: (纸本)9781479914821

Damage in parietal and/or motor cortex of the brain can lead to inability in proper visuo-motor coordination, hampering movement planning and execution. The objective of this work is to predict joint coordinates of hand by sequential prediction of the parietal and motor cortex Electroencephalogram (EEG) features from their occipital counterparts using artificial neural networks (ANNs). EEG signals during hand movement execution are acquired from occipital, parietal and motor cortical regions and the joint coordinates of hand are acquired using Kinect sensor. The acquired EEG signals are preprocessed followed by extraction of wavelet features and selection of the best features using Principal Component Analysis. The EEG features originating from one brain region are mapped to the features of another brain region using regression analysis on artificial neural networks with Back Propagation learning. The mapped motor cortical EEG signals are finally used to predict the hand joint coordinates using Back Propagation learning based ANN. The performances of various weight adaptation techniques for Back Propagation learning are evaluated. Regression analysis results indicate that Levenberg-Marquardt optimization based weight adaptation performed best in terms of mean squared error, slope of the best linear fit and correlation coefficient between the original values and predicted results.

关键词： Artificial neural network Back propagation learning Electroencephalogram Regression analysis Visual-motor co-ordination

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Formal Verification of Fault-Tolerant and Recovery Mechanisms for Safe Node Sequence Protocol

Formal Verification of Fault-Tolerant and Recovery Mechanism...

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IEEE International Conference on Advanced information Networking and Applications

作者： Rui Zhou Rong Min Qi Yu Chanjuan Li Yong Sheng Qingguo Zhou Xuan Wang Kuan-Ching Li School of Information Science and Engineering Lanzhou University Lanzhou China School of Science Lanzhou University of Technology Lanzhou 730050 Gansu China Dept. of Computer Science and Information Engineering (CSIE) Providence University Taiwan

ISBN: (纸本)9781479936311

Fault-tolerance has huge impact on embedded safety-critical systems. As technology that assists to the development of such improvement, Safe Node Sequence Protocol (SNSP) is designed to make part of such impact. In this paper, we present a mechanism for fault-tolerance and recovery based on the Safe Node Sequence Protocol (SNSP) to strengthen the system robustness, from which the correctness of a fault-tolerant prototype system is analyzed and verified. In order to verify the correctness of more than thirty failure modes, we have partitioned the complete protocol state machine into several subsystems, followed to the injection of corresponding fault classes into dedicated independent models. Experiments demonstrate that this method effectively reduces the size of overall state space, and verification results indicate that the protocol is able to recover from the fault model in a fault-tolerant system and continue to operate as errors occur.

关键词： Safe Node Sequence Protocol fault-tolerance event-triggered protocol model checking

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Adaptive fast image dehazing algorithm

Adaptive fast image dehazing algorithm

引用

IEEE International Symposium on Independent Computing (ISIC)

作者： Cheng-Hsiung Hsieh Chih-Tsung Chen Yu-Sheng Lin Dept. of Computer Science and Information Engineering Chaoyang University of Technology Taichung County Taiwan Dept. of Multimedia and Game Science Asia-Pacific Institute of Creativity Miaoli County Taiwan

ISBN: (纸本)9781479944750

Recently, a single image haze removal scheme based on dark channel prior (DCP) is presented in [1] and is getting popular because of its satisfactory performance for most of cases. However, the DCP scheme has at least three problems: halos, high computational cost and over-exposure. In our previous paper [2], a dehazing algorithm with dual dark channels was presented where high computational cost and over-exposure problems are relieved. In this paper, the objective of proposed dehazing algorithm (PDA) is to relieve the three problems in [1] simultaneously. Four examples are given to verify the PDA where comparison with the DCP scheme is made as well. The simulation results indicate that the PDA is 87.87 times, on average, faster than the DCP in the given examples. Besides, in general better color situation is found for the PDA with similar visual quality and without the three problems in the DCP scheme.

关键词： Personal digital assistants Atmospheric modeling Computational efficiency Channel estimation Visualization Image color analysis Flowcharts

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