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IEEE First Summer School on Smart Cities (S3C)

作者： P. Jorge Filho Paulo Simões Pedro O. Raimundo Renato Novais Vaninha Vieira Manoel Mendonça Fraunhofer Project Center for Software and Systems Engineering at UFBA Parque Tecnologico de Salvador Avenida Luiz Viana Filho Salvador Bahia Brazil Department of Computer Science Rua Barao de Jeremoabo s/n - Ondina Federal University of Bahia Salvador Bahia Brazil Department of Computer Science R. Emídio dos Santos s/n - Barbalho Federal Institute of Bahia Salvador Bahia Brazil

Emergencies often happen in a random and unexpected way, and operational forces must take immediate actions to reduce damages to the affected properties and people. Contextual information provides emergency response teams with an overview of the ongoing emergency and allows better decision making, such as the coordination of operational forces and resources provisioning. In this paper, we present the Emergency State Builder (ESB), acentral component we designed to aggregate contextual information about emergencies from multiple data sources with emphasis on fires, explosions, gas leaks and environmental damage incidents. The ESB is our answer to the challenge and providing timely, reliable and relevant contextual information to other components of a emergency management platform, called RESCUER, and, ultimately, to the emergency response teams. To illustrate the applicability of this work, we present how the RESCUER Public Communication module (RESCUER News) benefited from the information provided by ESB.

关键词： Emergency services Reliability Smart cities Aggregates Data visualization Organizations computer science

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Recognition and classification of animals based on texture features through parallel computing 2

Recognition and classification of animals based on texture f...

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2nd International Conference on Cognitive Computing and Information Processing, CCIP 2016

作者： Manohar, N. Subrahmanya, S. Bharathi, R.K. Sharath Kumar, Y.H. Hemantha Kumar, G. DoS in Computer-Science University of Mysore Manasagangothri Mysuru Karnataka India Department of M.C.A Sri Jayachamarajendra College of Engineering Mysuru Karnataka India Department of Information Science and Engineering Maharaja Institute of Technology Mysuru Karnataka India

ISBN: (纸本)9781509010257

In this work, we proposed an efficient system for animal recognition and classification based on texture features which are obtained from the local appearance and texture of animals. The classification of animals are done by training and subsequently testing two different machine learning techniques, namely k-Nearest Neighbors (k-NN) and Support Vector Machines (SVM). computer-assisted technique when applied through parallel computing makes the work efficient by reducing the time taken for the task of animal recognition and classification. Here we propose a parallel algorithm for the same. Experimentation is done for about 30 different classes of animals containing more than 3000 images. Among the different classifiers, k-Nearest Neighbor classifiers have achieved a better accuracy. © 2016 IEEE.

关键词： Animals

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Proposal of a Learning Management System for Physics Education with the Inclusion of WebLab and Assessment of its Application

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Journal of Environmental science and Engineering(B) 2017年第2期6卷 101-113页

作者： Gilberto Eiiti Murakami Daisy Hirata Marco Aurelio Alvarenga Monteiro Denise Marques Pinheiro Jose Silverio Edmundo Germano Engineering School Maul Mau6 Institute of Technology Sao Caetano do Sul 09580-900 Brazil Physics Department Technological Institute of Aeronautics-ITA Sao Jose dos Campos 12228-900 Brazil Computer Science Division Technological Institute of Aeronautics Aerospace Technology and Science Department S~o JosO dosCampos 12228-900 Brazil Physics and Chemistry Department S~o Paulo State University Guaratingueta 12500-000Brazil

The objective of authors＇ study was to assess the effect of using the remote Tangent Galvanometer experiment on teaching and leaming physics in high-school classes. The idea was to understand how the remote experiment can contribute to understanding scientific concepts of high school students, specifically in physics. Five public high-schools located in the urban area of Guaratingueta were selected for our pilot test. Only one of the schools has a science laboratory, which is often not used due to the shortage of appropriate material for experiments. However, all five schools have computer labs with internet access. Authors worked with a total of 335 students from five schools. Authors＇ pilot test began with theoretical classes, related to the experiment, given by the teachers of each school： Concept of Magnetic Induction Field and the Biot-Savart Law. The classes were followed by a pre-test. After applying the pre-test, the students accessed the experimental activity via Interact remote access in the computer lab. At the end of the experimental activity, the students completed the multiple choice post-tests. All students completed the post-tests. The pre-test and post-test analysis has been used as an assessment method in education and social sciences.

关键词： computer simulation Cohen e-learning pre-test post-test remote measurement techniques Tangent Galvanometer experiment WebLab.

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Approximation of statistical implicative analysis to learning analytics: A systematic review 4

Approximation of statistical implicative analysis to learnin...

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4th International Conference on Technological Ecosystem for Enhancing Multiculturality, TEEM 2016

作者： Rubén, A. Pazmiño-Maji Francisco, J. García-Peñalvo Miguel, A. Conde-González Faculty of Science Escuela Superior Politécnica de Chimborazo Panamericana Sur Km 1 Riobamba Ecuador Department of Computer Science Faculty of Science University of Salamanca Plaza de los Caídos S/N Salamanca37008 Spain Department of Mechanical Computer Science and Aerospace Engineering University of León LeónCampus de Vegazana S/N León24071 Spain

ISBN: (纸本)9781450347471

The learning Analytics has been and is still an emerging technology, the amount of research on learning analysis are increasing every day. The integration of new tools, methods and theories is necessary. The aim of this paper is to study the approximation of Statistical Implicative Analysis theory (SIA) to Learning Analytics (LA). To this end, we have created an approximation framework based on the definition, stages, and methods used in LA. In total, three criteria approach and thirty-six sub-Themes were compared. We use systematic review in the literature published in the last 66 months in bibliographic database ACM, EBSCO, Google Scholar, IEEE, ProQuest, Scopus and WOS. We started with 319 papers and finally 24 met all quality criteria. This document provides the themes by which SIA approximates to LA, also provides the percentages by category approach and identifies a number of future researches. © 2016 ACM.

关键词： Information services

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Video shot boundary detection using midrange local binary pattern

Video shot boundary detection using midrange local binary pa...

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International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： B. S. Rashmi H. S. Nagendraswamy DuS in Computer Science University of Mysore Mysore India Kamataka State Open University Mysore India DoS in Computer Science University of Mysore Mysore India

ISBN: (纸本)9781509020300

The fundamental step in content based video retrieval is shot boundary detection. This step is essential for characterizing videos in any video processing system. Reliable detection of shots in videos is still a challenging issue. In this work, we address automatic detection of abrupt shots in video sequences. We have proposed a method termed as Midrange LBP (MRLBP), which enhances the discriminative capability of basic LBP. Each frame of a video is processed to extract LBP histogram values based on midrange statistics for its description. A dissimilarity measure is applied on the feature vectors of adjacent frames and the distance values obtained are used for shot detection process using adaptive threshold approach. To check the efficacy of the proposed method, we carried out experiments on a subset of standard video data set TRECVID 2001. The results obtained by the proposed approach outperform the existing shot boundary detection algorithms in terms of different performance measures.

关键词： Histograms Feature extraction Video sequences Image color analysis Visualization Lighting Informatics

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Keyframe Movement Optimization for Simulated Humanoid Robot Using a Parallel Optimization Framework

Keyframe Movement Optimization for Simulated Humanoid Robot ...

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IEEE Latin American Robotics Symposium, LARS

作者： Francisco Muniz Marcos R.O.A. Maximo Carlos H.C. Ribeiro Computer Science Division Aeronautics Institute of Technology São José dos Campos SP Brazil

ISBN: (纸本)9781509036578

Motion control for a high degrees of freedom humanoid robot is one the hardest problems in Mobile Robotics. Researchers have been very successful in designing walking motions using reduced order mathematical models based on the ZMP approach. However, this approach is unable to design very dynamic motions, such as movements to get up and long distance kicks. In these cases, keyframe movements have proven to be a successful technique. Therefore, this paper presents a system that allows a parallel approach for optimizing keyframe movements for the Robocup 3D Soccer Simulation League. Moreover, optimization results obtained using this system are shown to validate it.

关键词： Interpolation Cost function Humanoid robots Servers Three-dimensional displays

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Corrigendum to “Cyclostationary Correntropy: Definition and applications” [Expert Systems with Applications 69 (2017) 110–117]

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Expert Systems with Applications 2017年 81卷 472-473页

作者： Aluisio I.R. Fontes Joilson B.A. Rego Allan de M. Martins Luiz F.Q. Silveira J.C. Principe Department of Information Federal Institute of Rio Grande do Norte Pau dos Ferros RN Brazil School of Science and Technology Federal University of Rio Grande do Norte Natal RN Brazil Department of Electrical Engineering Federal University of Rio Grande do Norte Natal RN Brazil Department of Computer Engineering Federal University of Rio Grande do Norte 59078-970 Natal RN Brazil Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

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Performance Requirements Derivation for IEEE Very Small Size Competition

Performance Requirements Derivation for IEEE Very Small Size...

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IEEE Latin American Robotics Symposium, LARS

作者： Felipe Celso Samuel C. Pinto Igor F. Okuyama Marcos R.O.A. Máximo Natan L. Viana Computer Science Division Aeronautics Institute of Technology São José dos Campos SP Brazil

ISBN: (纸本)9781509036578

This paper presents a methodology for deriving the robot's and the computer vision system's performance requirements for the IEEE Very Small Size Competition. Representative behaviors were modeled and then a full simulation environment was developed in order to access the impact of a set of parameters in the performance of the whole system. Using this setup, we could accurately estimate what are the necessary requirements both for the robot and the computer vision system for achieving a desired overall system performance.

关键词： Mobile robots Wheels Mathematical model Computational modeling Robot kinematics Cameras

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Monte Carlo Localization with Field Lines Observations for Simulated Humanoid Robotic Soccer

Monte Carlo Localization with Field Lines Observations for S...

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IEEE Latin American Robotics Symposium, LARS

作者： Alexandre Muzio Luis Aguiar Marcos R.O.A. Máximo Samuel C. Pinto Computer Science Division Praça Marechal Eduardo Gomes São José dos Campos SP Brazil

ISBN: (纸本)9781509036578

This paper presents the application of the localization technique known as Monte Carlo Localization for the estimation of the global pose of virtual robots agents in the Robocup 3D Soccer Simulation League. For this specific problem, a special formulation for this famous method is demanded in order to deal with the kidnapping problem, i. e. when the robot is moved by an external agent. We extended the classic landmark observation to incorporate also field lines observations. In this work, we will introduce the filtering algorithm and describe the stochastic modeling and implementation traits concerning this challenge. We also conducted tests in the RoboCup Soccer 3D environment to demonstrate the results obtained, especially the improvement due to the inclusion of lines observation.

关键词： Robot sensing systems Mathematical model Three-dimensional displays Monte Carlo methods Solid modeling Servers

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K-means for datasets with missing attributes: Building soft constraints with observed and imputed values 24

K-means for datasets with missing attributes: Building soft ...

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24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016

作者： Mesquita, Diego P.P. Gomes, João P.P. Rodrigues, Leonardo R. Federal University of Ceará Computer Science Department Rua Campus do Pici sn Fortaleza-CE Brazil Institute of Aeronautics and Space Electronics Division Praça Marechal Eduardo Gomes 50 São José dos Campos-SP Brazil

ISBN: (纸本)9782875870278

Clustering methods have a wide range of applications. However, the presence of missing attribute values on the dataset may limit the use of clustering methods. Developing clustering methods that can deal with missing data has been a topic of interest among researchers in recent years. This work presents a variant of the well known k-means algorithm that can handle missing data. The proposed algorithm uses one type of soft constraints for observed data and a second type for imputed data. Four public datasets were used in the experiments in order to compare the performance of the proposed model with a traditional k-means algorithm and an algorithm that uses soft constraints only for observed data. The results showed that the proposed method outperformed the benchmark methods for all datasets considered in the experiments.

关键词： Cluster analysis

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