Design of a Communication System that Can Predict Situations of an Absentee Using Its Behavior Log

We designed a communication system that can predict the current situation of an absentee on the basis of its behavior log and provide some communication tools suitable for the situation to a visitor. An operative evaluation revealed that the proposed syst

  • PDF / 116,112,427 Bytes
  • 1,019 Pages / 439.37 x 666.142 pts Page_size
  • 21 Downloads / 142 Views

DOWNLOAD

REPORT


Hamido Fujita · Moonis Ali Ali Selamat · Jun Sasaki Masaki Kurematsu (Eds.)

Trends in Applied Knowledge-Based Systems and Data Science 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016 Morioka, Japan, August 2–4, 2016, Proceedings

123

Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science

LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany

LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany

9799

More information about this series at http://www.springer.com/series/1244

Hamido Fujita Moonis Ali Ali Selamat Jun Sasaki Masaki Kurematsu (Eds.) •



Trends in Applied Knowledge-Based Systems and Data Science 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016 Morioka, Japan, August 2–4, 2016 Proceedings

123

Editors Hamido Fujita Iwate Prefectural University Iwate Japan Moonis Ali Department of Computer Science Texas State University San Marcos, Texas USA

Jun Sasaki Iwate Prefectural University Iwate Japan Masaki Kurematsu Iwate Prefectural University Iwate Japan

Ali Selamat Universiti Teknologi Malaysis (UTM) Bahru Malaysia

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-42006-6 ISBN 978-3-319-42007-3 (eBook) DOI 10.1007/978-3-319-42007-3 Library of Congress Control Number: 2016943422 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland

Preface

The International Conference on Industrial, Engineering and Other Applica