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27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015

作者： Gonçalves, Rafael Queiroz Von Wangenheim, Christiane Gresse Department of Informatics and Statistics Graduate Program on Computer Science Federal University of Santa Catarina UFSC Florianópolis Brazil

ISBN: (纸本)1891706373

Project management tools are mandatory to properly manage a software project. The teaching of these tools is carried out in superior computer courses, but often the instructional strategies are used in an ad-hoc manner. This study aims to analyze the literature about teaching of the usage of project management tools and to identify the instructional strategies and the utilized tools. We conducted a systematic literature review to identify the most significant studies that report experiences on this context. After analyzing more than 2700 studies a total of 5 primary studies were selected, and then others were manually included. The instructional strategies and the utilized tools are presented, highlighting the main functionalities and educational features of these tools, as well as the instructional activities carried out to meet the educational goals. Concluding with a discussion of the advances and gaps that remain in this area. Copyright © 2015 by KSI Research Inc. and Knowledge Systems Institute graduate School.

关键词： Project management

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Parallel Solution of Diagonally Dominant Banded Triangular Toeplitz Systems Using Taylor Polynomials

Parallel Solution of Diagonally Dominant Banded Triangular T...

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IEEE International Conference on High Performance Computing and Communications

作者： Michael Kapralos Aron Wolinetz Brian J. Murphy Department of Electrical and Computer Engineering University of Connecticut Storrs CT 06269 The Graduate Center of the City University of New York Ph.D. Program in Computer Science NY NY 10016 Lehman College of the City University of New York Bronx NY 10468

ISBN: (纸本)9781509042982

We present a new numerical and inherently parallel algorithm for solving banded (strictly) diagonally dominant triangular and banded Toeplitz (BDDTT) systems of linear equations. A Taylor polynomial, derived from the matrix analog of the Taylor Series for evaluating (1-x) ~(-1)where |χ| < 1, is applied, in conjunction with other techniques, to compute an approximate solution to a BDDTT-type system. This method requires O(n log_2n) arithmetic operations (ops) and O(log_2n) parallel steps (steps). Two FFTs and an IFFT of order 2n are the main contributors to the workload. This matches the FFT count for a triangular Toeplitz-matrix-vector multiplication. Clearly then, our method improves on the many algebraic FFT based processes that first determine the triangular Toeplitz matrix that is the inverse of a BDDTT matrix in order to then solve the associated BDDTT system.

关键词： Banded Triangular Toeplitz Diagonally Dominant Linear System FFT

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A Hybrid Deep Learning Forecasting Model Using GPU Disaggregated Function Evaluations Applied for Household Electricity Demand Forecasting

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Energy Procedia 2016年 103卷 280-285页

作者： Vitor N. Coelho Igor M. Coelho Eyder Rios Alexandre S.T. Filho Agnaldo J.R. Reis Bruno N. Coelho Alysson Alves Guilherme G. Netto Marcone J.F. Souza Frederico G. Guimarães Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Instituto de Pesquisa e Desenvolvimento de Tecnologias Ouro Preto Brazil Department of Computer Science State University of Rio de Janeiro Rio de Janeiro Brazil Institute of Computer Science Fluminense Federal University Niteroi Brazil Department of Control Engineering and Automation Universidade Federal de Ouro Preto Ouro Preto Brazil Department of Computer Science Universidade Federal de Ouro Preto Ouro Preto Brazil Department of Electrical Engineering Universidade Federal de Minas Gerais BeloHorizonte Brazil

As the new generation of smart sensors is evolving towards high sampling acquisitions systems, the amount of information to be handled by learning algorithms has been increasing. The Graphics Processing Unit (GPU) architectures provide a greener alternative with low energy consumption for mining big-data, harnessing the power of thousands of processing cores in a single chip, opening a widely range of possible applications. Here, we design a novel evolutionary computing GPU parallel function evaluation mechanism, in which different parts of time series are evaluated by different processing threads. By applying a metaheuristics fuzzy model in a low-frequency data for household electricity demand forecasting, results suggested that the proposed GPU learning strategy is scalable as the number of training rounds increases.

关键词： Microgrid Household Electricity Demand Deep Learning Graphics Processing Unit Parallel forecasting model Big Time-series Data

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Publisher Correction: Alpha-synuclein facilitates to form short unconventional microtubules that have a unique function in the axonal transport

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Scientific reports 2018年第1期8卷 8019页

作者： Shiori Toba Mingyue Jin Masami Yamada Kanako Kumamoto Sakiko Matsumoto Takuo Yasunaga Yuko Fukunaga Atsuo Miyazawa Sakiko Fujita Kyoko Itoh Shinji Fushiki Hiroaki Kojima Hideki Wanibuchi Yoshiyuki Arai Takeharu Nagai Shinji Hirotsune Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. Department of Bioscience and Bioinformatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka Fukuoka 820-850 Japan. JST-SENTAN 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. JST-CREST 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. Graduate School of Life Science University of Hyogo 3-2-1 Kouto Kamigori-cho Ako-gun Hyogo 678-1297 Japan. RSC-University of Hyogo Leading Program Center RIKEN SPring-8 Center 1-1-1 Kouto Sayo-cho Sayo-gun Hyogo 679-5148 Japan. Graduate School of Materials Science Nara Institute of Science and Technology 8916-5 Takayama Ikoma Nara 630-0101 Japan. Department of Pathology and Applied Neurobiology Kyoto Prefectural University of Medicine Graduate School of Medical Sciences Kajii-cho Kawaramachi-Hirokoji Kamigyo-ku Kyoto 602-8566 Japan. Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi-ku Kobe 651-2492 Japan. Department of Pathology Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8586 Japan. Department of Biomolecular Science and Engineering Institute of Scientific and Industrial Research Osaka University Mihoga-oka 8-1 Osaka 567-0047 Japan. Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. shinjih@med.osaka-cu.ac.jp.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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A kinect-aided method to estimate the fundus camera extrinsic parameters for three-dimensional reconstruction of retinal blood vessels

A kinect-aided method to estimate the fundus camera extrinsi...

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2016 Future Technologies Conference, FTC 2016

作者： Hernandez-Sanchez, E. Martinez-Perez, M. Elena Gastelum-Strozzi, A. Engineering Graduate Program Universidad Nacional Autónoma de México Ciudad de México Mexico Computer Science Department IIMAS Universidad Nacional Autónoma de México Apartado Postal 20-126 Ciudad de MéxicoC.P. 01000 Mexico CCADET-HGM Universidad Nacional Autónoma de México Ciudad de México Mexico

ISBN: (纸本)9781509041718

This paper deals with the estimation of intrinsic and extrinsic parameters in a fundus camera system. These parameters are fundamental to retrieve three-dimensional reconstruction of eye's structure, in our case, retinal blood vessels. In this paper we used the Zhang's algorithm to estimate the intrinsic parameters of the optical system. Besides, an alternative method to estimate the extrinsic parameters is proposed based on the kinect one sensor. These modifications provide an easy way to characterise the whole fundus camera system. Experimental validation was carried out to verify the accuracy of the proposed method. A cylindrical known object was reconstructed having and average error of 3.96%. A real eye's structure was also reconstructed from a fundus image pair. © 2016 IEEE.

关键词： Optical systems

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Evaluation of Three Machine Learning Algorithms as Classifiers of Premature Ventricular Contractions on ECG beats.

Evaluation of Three Machine Learning Algorithms as Classifie...

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Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges Conference

作者： M. M. Casas R. L. Avitia M. A. Reyna A. Cárdenas Bioengineering Graduate Program Autonomous University of Baja California. Mexicali BC Mex Department of Bioengineering and Environmental Health Autonomous University of Baja California Mexicali BC Mex Mathematics and Computer Science Department University of Missouri-St Louis MO USA

ISBN: (纸本)9781509024872

According to the World Health Organization, cardiovascular diseases (CVD) are the main cause of death worldwide. An estimated 17.5 million people died from CVD in 2012, representing 31% of all global deaths. The electrocardiogram (ECG) is a central tool for the pre-diagnosis of heart diseases. Many advances on ECG arrhythmia classification have been developed in the last century;however, there is still research to identify malignant waveforms on ECG beats. The premature ventricular complexes (PVC) are known to be associated with malignant ventricular arrhythmias and in sudden cardiac death (SCD) cases. Detecting this kind of arrhythmia has been crucial in clinical applications. In this work, we extracted 80 different features from 108,653 ECG classified beats of the MIT-BIH database in order to classify the Normal, PVC and other kind of ECG beats. We evaluated three classifier algorithms based on Machine Learning with different parameters and we got a total of 14 models. We used the F1 score and we compared predictive values as a measured of classifier evaluations. Results show that we could have a F1 scores near to the unit, showing the models are higher than 93% of performance.

关键词： Electrocardiogram (ECG) Premature Ventricular Contraction (PVC) Arrhythmia classifier Logistic Regression (LG) Neural Network (NN) Support Vector Machines (SVM)

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Optimal Compression for Identically Prepared Qubit States

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Physical Review Letters 2016年第9期117卷 090502-090502页

作者： Yuxiang Yang Giulio Chiribella Masahito Hayashi Department of Computer Science The University of Hong Kong Pokfulam Road Hong Kong Canadian Institute for Advanced Research CIFAR Program in Quantum Information Science Toronto Ontario M5G 1Z8 Canada Graduate School of Mathematics Nagoya University Nagoya Japan Centre for Quantum Technologies National University of Singapore Singapore 117543 Singapore

We establish the ultimate limits to the compression of sequences of identically prepared qubits. The limits are determined by Holevo’s information quantity and are attained through use of the optimal universal clonin... 详细信息

关键词： Quantum algorithms Quantum communication Quantum information processing Quantum measurements Quantum memories

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Nearest greedy for solving the waste collection vehicle routing problem: A case study

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AIP Conference Proceedings 2017年第1期1905卷

作者： Nur Azriati Mat Aida Mauziah Benjamin Syariza Abdul-Rahman Antoni Wibowo 1Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 2Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 3Department of Decision Science School of Quantitative Sciences College of Arts & Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia 4Computer Science Department Binus Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

This paper presents a real case study pertaining to an issue related to waste collection in the northern part of Malaysia by using a constructive heuristic algorithm known as the Nearest Greedy (NG) technique. This technique has been widely used to devise initial solutions for issues concerning vehicle routing. Basically, the waste collection cycle involves the following steps: i) each vehicle starts from a depot, ii) visits a number of customers to collect waste, iii) unloads waste at the disposal site, and lastly, iv) returns to the depot. Moreover, the sample data set used in this paper consisted of six areas, where each area involved up to 103 customers. In this paper, the NG technique was employed to construct an initial route for each area. The solution proposed from the technique was compared with the present vehicle routes implemented by a waste collection company within the city. The comparison results portrayed that NG offered better vehicle routes with a 11.07% reduction of the total distance traveled, in comparison to the present vehicle routes.

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A study on fitness function with parameter-free genetic algorithm for non-destructive estimation of permittivity distribution based on capacitance and electric potential

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IEEJ Transactions on Fundamentals and Materials 2016年第4期136卷 164-173页

作者： Ohchi, Masashi Tomiyama, Kazuyoshi Furukawa, Tatsuya Itoh, Hideaki Fukumoto, Hisao Department of Electrical Electronics and Computer Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Graduate School of Science and Engineering Saga University 1 Honjo-machi Saga840-8502 Japan

We have carried out experimental and numerical analyses for reconstruction of permittivity distribution using a pair of long distance small size electrodes and additional arc electrodes. A reconstruction method for permittivity distribution that uses a genetic algorithm and numerical analysis (finite element method) based on measured capacitance has been proposed and investigated. However, the conventional method had a problem in accuracy. In this paper, the reconstruction method has been improved by using a Parameter-free Genetic Algorithm(PfGA) based on measured capacitance and electric potential. In addition, we have evaluated the fitness function with PfGA. © 2016 The Institute of Electrical Engineers of Japan.

关键词： Finite element method

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Software requirements selection and prioritization using SBSE approaches: A systematic review and mapping of the literature

Software requirements selection and prioritization using SBS...

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作者： Pitangueira, Antônio Mauricio Maciel, Rita Suzana P. Barros, Márcio Federal University of Bahia Computer Science Department Brazil Post-graduate Information Systems Program Unirio Brazil Federal Institute of Bahia Brazil

The selection and prioritization of software requirements represents an area of interest in Search-Based Software Engineering (SBSE) and its main focus is finding and selecting a set of requirements that may be part of a software release. This paper presents a systematic review and mapping that investigated, analyzed, categorized and classified the SBSE approaches that have been proposed to address software requirement selection and prioritization problems, reporting quantitative and qualitative assessment. Initially 39 papers returned from our search strategy in this area and they were analyzed by 18 previously established quality criteria. The results of this systematic review show which aspects of the requirements selection and prioritization problems were addressed by researchers, which approaches and search techniques are currently adopted to address these problems, as well as the strengths and weaknesses in this research area highlighted from the quality criteria. © 2014 Elsevier Inc. All rights reserved.

关键词： Requirements engineering

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