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Context aware systems and applications, and nature of computation and communication

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Cấu trúc

  • Preface

  • Organization

  • Contents

  • Context-Aware Systems and Applications

  • A Resource-Aware Preference Model for Context-Aware System

    • 1 Introduction

    • 2 Related Work

    • 3 Motivation

    • 4 Resource-Aware Preference Model

      • 4.1 Context-Aware System Architecture

      • 4.2 Rule Structure

      • 4.3 Preference Manager Layer

    • 5 Derived-Context Based User Preference

      • 5.1 Preference Level Monitor (PLM)

    • 6 A Simple Case Study

      • 6.1 Context-Based Preferences

      • 6.2 Rule-Based Preferences

    • 7 Conclusion and Future Work

    • References

  • A Context Adaptive Framework for IT Governance, Risk, Compliance and Security

    • Abstract

    • 1 Introduction

    • 2 GRC and Security

    • 3 IT GRC

    • 4 IT Security

    • 5 IT GRC and IT Security

    • 6 An Integrated IT GRCS Framework

    • 7 Conclusion

    • References

  • Hybrid Classifier by Integrating Sentiment and Technical Indicator Classifiers

    • Abstract

    • 1 Introduction

    • 2 Research Methodology

      • 2.1 Sentiment Definition

        • 2.1.1 Bullish and Bearish

        • 2.1.2 Sentiment Ratio

        • 2.1.3 Sentiment Trading Strategies (STS)

        • 2.1.4 Sentiment Classifier Formula

      • 2.2 Technical Indicator

        • 2.2.1 Relative Volatility Index (RVI)

        • 2.2.2 Money Flow Index (MFI)

        • 2.2.3 Relative Strength Index (RSI)

      • 2.3 Classification Algorithms

        • 2.3.1 Technical Indicator Classifiers

        • 2.3.2 Sentiment Classifiers

        • 2.3.3 Hybrid Classifiers

    • 3 Experiments and Results

      • 3.1 Datasets

      • 3.2 Experiments

      • 3.3 Results

    • 4 Conclusion and Discussion

    • References

  • Visualizing Space-Time Map for Bus

    • Abstract

    • 1 Introduction

    • 2 Visual Features

      • 2.1 The Capacity of Human Vision

      • 2.2 The Visual Features

      • 2.3 The Retinal Variables

    • 3 Approaching Temporal Geography to Making Space-Time Bus Map

      • 3.1 Space-Time Map

      • 3.2 Space-Time Map for Representing Bus Network

    • 4 Approaching Temporal Geography and Visualization to Creating Visualized-Space-Time Bus Map

      • 4.1 Reducing the Thickness of Screen

      • 4.2 Creating Visualized-Space-Time Bus Map

      • 4.3 Improving Visual Features of Visualized-Space-Time Bus Map

    • 5 Conclusion

    • References

  • Generation of Power State Machine for Android Devices

    • 1 Introduction

    • 2 Formal Analysis of Android Applications' Power Consumption

      • 2.1 Analysis of the Power State in Mobile Applications for a Hardware Component

      • 2.2 Analysis Power State in Mobile Applications

      • 2.3 Optimize Power Consumption Model for Each Specific Application

    • 3 Implementation

    • 4 Related Work

    • 5 Conclusion

    • References

  • Modeling Self-adaptation - A Possible Endeavour?

    • Abstract

    • 1 Introduction to Self-adaptation

    • 2 Correct Self-adaptation

    • 3 Modeling Self-adaptation with KnowLang

    • 4 Case Study

      • 4.1 Modeling Self-adaptation that Adds on Safety

      • 4.2 Testing the Self-adaptation Model

    • 5 Conclusion

    • Acknowledgements

    • References

  • Enhancement of Wu-Manber Multi-pattern Matching Algorithm for Intrusion Detection System

    • Abstract

    • 1 Introduction

    • 2 Background

      • 2.1 Snort and Pattern Matching Algorithms

      • 2.2 Wu-Manber Algorithm

      • 2.3 Bloom Filter

    • 3 Related Work

    • 4 Proposed Algorithm

      • 4.1 Preprocessing Phase

      • 4.2 Matching Phase

    • 5 Experiment and Performance Evaluations

      • 5.1 Experimental Data

      • 5.2 Experimental Results

    • 6 Conclusions

    • References

  • Goal-Capability-Commitment Based Context-Aware Collaborative Adaptive Diagnosis and Compensation

    • Abstract

    • 1 Introduction

    • 2 Technology Base

      • 2.1 Capability-Commitment-Goal Representation

        • 2.1.1 Capability

        • 2.1.2 Commitment

        • 2.1.3 Adaptation Goal

      • 2.2 Semantic Matching

    • 3 Our Approach

      • 3.1 Failure Diagnosis

      • 3.2 Capability and Commitment Compensation

    • 4 Experiments and Discussion

    • 5 Conclusion

    • Acknowledgment

    • References

  • Traffic Incident Recognition Using Empirical Deep Convolutional Neural Networks Model

    • 1 Introduction

    • 2 Convolutional Neural Networks (CNN) Based Approach to Traffic Incident Detection

      • 2.1 Proposed CNN Model

      • 2.2 The System for Traffic Incident Detection

    • 3 Experimental Results

    • 4 Conclusion

    • References

  • Block-Moving Approach for Speed Adjustment on Following Vehicle in Car-Following Model

    • Abstract

    • 1 Introduction

    • 2 Related Works

    • 3 The Block-Moving Approach

      • 3.1 The Clearance of a Moving Vehicle

      • 3.2 Moving-Block Approach to Adjusting Follower Speed

    • 4 Headway-Based Controlling Follower Speed

    • 5 Conclusion

    • References

  • The Context-Aware Calculating Method in Language Environment Based on Hedge Algebras Approach to Improve Result of Forecasting Time Series

    • Abstract

    • 1 Introduction

    • 2 Preliminaries

      • 2.1 Fuzzy Time Series

      • 2.2 Some Basis Concepts of Hedge Algebras

    • 3 Proposed Method

      • 3.1 Rule for Adjusting the Fuzzy Logical Relationships

      • 3.2 Method for Partitioning the Universe of Discourse

      • 3.3 Algorithm for Forecasting

    • 4 Empirical Result

      • 4.1 We Test the Proposed Method on the Time Series that are Enrollments at University of Alabama

      • 4.2 Test of Forecasting TAIEX Index

    • 5 Conclusion

    • References

  • Algebraic Operations in Fuzzy Object-Oriented Databases Based on Hedge Algebras

    • 1 Introduction

    • 2 The Basic Concepts

      • 2.1 Hegde Algebra

      • 2.2 Neighborhood Level

      • 2.3 Fuzzy Object-Oriented Database

    • 3 Evaluation of Duplicates in Fuzzy Objects

      • 3.1 Approximation Level k

      • 3.2 Redundant Fuzzy Objects

    • 4 Fuzzy Algebraic Operations

      • 4.1 Algebraic Operations for Fuzzy Objects

      • 4.2 Algebraic Operations for Fuzzy Classes

      • 4.3 Fuzzy Queries

    • 5 Conclusion

    • References

  • Context-Adaptive Values-Based Games for the Young: Responsible Decision Making for a Sustainable World

    • Abstract

    • 1 Introduction

    • 2 Values and Sustainability

    • 3 Responsible Decision-Making in Games

    • 4 Context-Adaptive Games for Inculcating Values in the Young

    • 5 Design of Context-Adaptive Values-Based Games

      • 5.1 Scenario 1: Context-Adaptive Values-Based Snakes and Ladders

      • 5.2 Scenario 2: Context-Adaptive, Decision-Driven Story of Helpfulness and Kindness

    • 6 Conclusion

    • References

  • Applying and Deploying Cyber Physical System in Monitoring and Managing Operations Under Mines and U ...

    • Abstract

    • 1 Introduction

      • 1.1 Developing a Cyber Physical System for Monitoring and Managing Operations Under Mines and Underg ...

      • 1.2 New Technologies Applied in the Project

    • 2 The Building of Database Structure

      • 2.1 System Software

    • 3 Conclusion

    • References

  • The Method of Maintaining Data Consistency in Allocating Resources for the P2P Network Model

    • 1 Introduction

    • 2 Related Work

    • 3 The Model Structure Tree Broadcasts Resource Allocation in Heterogeneous Distributed Platforms

    • 4 Analytical Model for Resource Allocation in Heterogeneous Distributed Platforms

      • 4.1 Queueing Model

      • 4.2 Availability and Latency Computation

    • 5 Algorithm

    • 6 Experiments and Results

    • 7 Conclusion and Future Works

    • References

  • Fragmentation in Distributed Database Design Based on KR Rough Clustering Technique

    • Abstract

    • 1 Rationale

    • 2 Some Related Concepts

      • 2.1 Data Discretization and Attribute Selection, Attribute Extraction According to Rough Set Approach

      • 2.2 Information System, Indistinguishable Relation

      • 2.3 Reference-Specific Vector and Similarity

    • 3 Proposed Vertical Fragmentation Algorithm Based on KR Rough Clustering

      • 3.1 KR Rough Clustering Algorithm

      • 3.2 Proposed KR Rough Clustering Algorithm

      • 3.3 Evaluation of KR Rough Clustering Algorithm

    • 4 Experimental Results of KR Rough Clustering Algorithm

    • 5 Conclusion

    • References

  • Nature of Computation and Communication

  • Architectural Framework for Context Awareness and Health Conscious Applications on Mobile Devices

    • Abstract

    • 1 Introduction

    • 2 Related Research

      • 2.1 Contextual and Context Aware

      • 2.2 Contextual Aware Applications in Health Care

    • 3 Modeling Context Aware Sensibility for Mobile Systems

      • 3.1 Logical Description Knowledge Base

      • 3.2 Ontology

      • 3.3 Multi-agent System

    • 4 Framework for Context-Aware Healthcare Applications on Mobile System

      • 4.1 Architecture Framework

      • 4.2 Mechanism of Operation

    • 5 Conclusion

    • References

  • Holistic Personas and the Five-Dimensional Framework to Assist Practitioners in Designing Context-Aw ...

    • Abstract

    • 1 Introduction

    • 2 Background and Related Work

    • 3 Methodology

      • 3.1 The Five-Dimensional Requirements Elicitation Framework

      • 3.2 The Design of Online AIS Learning Resources Using Holistic Personas

      • 3.3 Procedure

    • 4 Results

    • 5 Discussion

    • 6 Implications and Limitations of Our Findings

    • 7 Conclusion and Future Research

    • Acknowledgements

    • References

  • Abnormal Behavior Detection Based on Smartphone Sensors

    • Abstract

    • 1 Introduction

    • 2 The Proposed Framework

      • 2.1 The Feature Selection

      • 2.2 Abnormal Behavior Analysis

      • 2.3 Monitoring Application

    • 3 Experiment and Results

      • 3.1 Experiment Environment

      • 3.2 The Collected and Processing Data

      • 3.3 The Abnormal Behavior Analysis Results

    • 4 Conclusion and Future Works

    • Acknowledgments

    • References

  • An Effective of Data Organizing Method Combines with Naïve Bayes for Vietnamese Document Retrieval

    • Abstract

    • 1 Introduction

    • 2 Related Works

    • 3 Organize Documents in the Warehouse

      • 3.1 Feature Selection

      • 3.2 Organize Document Based on Clustering

    • 4 The Methodology of Effective Document Retrieval

      • 4.1 Calculating Score of Features Based on Support

      • 4.2 Calculating Similarity Between Query and Clusters

      • 4.3 Document Retrieval

    • 5 Experimental

      • 5.1 Corpus

      • 5.2 Word Segmentation

      • 5.3 Evaluation

    • 6 Conclusion

    • References

  • An Effective Time Varying Delay Estimator Applied to Surface Electromyographic Signals

    • 1 Introduction

    • 2 Model of sEMG Synthetics Signals

      • 2.1 Signal Model

      • 2.2 Delayed Signal Generation

    • 3 Proposed Methods

      • 3.1 Maximum Likelihood Estimation

      • 3.2 Polynomial Model

      • 3.3 Stochastic Optimization

    • 4 Results and Discussions

      • 4.1 Statistical Tool

      • 4.2 Monte-Carlo Simulation

      • 4.3 Simulation Results

    • 5 Conclusions

    • References

  • The Optimal Solution of Communication Resource Allocation in Distributed System Integrated on Cloud Computing

    • Abstract

    • 1 Introduction

    • 2 Relate Works

    • 3 Systems Model

    • 4 Simulation Results

    • 5 Conclusions

    • References

  • Author Index

Nội dung

Phan Cong Vinh Nguyen Ha Huy Cuong Emil Vassev (Eds.) 217 Context-Aware Systems and Applications, and Nature of Computation and Communication 6th International Conference, ICCASA 2017 and 3rd International Conference, ICTCC 2017 Tam Ky, Vietnam, November 23–24, 2017 Proceedings 123 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Editorial Board Ozgur Akan Middle East Technical University, Ankara, Turkey Paolo Bellavista University of Bologna, Bologna, Italy Jiannong Cao Hong Kong Polytechnic University, Hong Kong, Hong Kong Geoffrey Coulson Lancaster University, Lancaster, UK Falko Dressler University of Erlangen, Erlangen, Germany Domenico Ferrari Università Cattolica Piacenza, Piacenza, Italy Mario Gerla UCLA, Los Angeles, USA Hisashi Kobayashi Princeton University, Princeton, USA Sergio Palazzo University of Catania, Catania, Italy Sartaj Sahni University of Florida, Florida, USA Xuemin Sherman Shen University of Waterloo, Waterloo, Canada Mircea Stan University of Virginia, Charlottesville, USA Jia Xiaohua City University of Hong Kong, Kowloon, Hong Kong Albert Y Zomaya University of Sydney, Sydney, Australia 217 More information about this series at http://www.springer.com/series/8197 Phan Cong Vinh Nguyen Ha Huy Cuong Emil Vassev (Eds.) • Context-Aware Systems and Applications, and Nature of Computation and Communication 6th International Conference, ICCASA 2017 and 3rd International Conference, ICTCC 2017 Tam Ky, Vietnam, November 23–24, 2017 Proceedings 123 Editors Phan Cong Vinh Nguyen Tat Thanh University Ho Chi Minh City Vietnam Emil Vassev University of Limerick Limerick Ireland Nguyen Ha Huy Cuong Quang Nam University Tam Ky City Vietnam ISSN 1867-8211 ISSN 1867-822X (electronic) Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN 978-3-319-77817-4 ISBN 978-3-319-77818-1 (eBook) https://doi.org/10.1007/978-3-319-77818-1 Library of Congress Control Number: 2018937363 © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018 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 The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations Printed on acid-free paper This Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Preface ICCASA and ICTCC 2017 are international scientific conferences for research in the field of intelligent computing and communication and were held during November 23–24 2017 in Tam Ky City, Vietnam The aim of the conferences is to provide an internationally respected forum for scientific research in the technologies and applications of intelligent computing and communication These conferences provide an excellent opportunity for researchers to discuss modern approaches and techniques for intelligent computing systems and their applications The proceedings of ICCASA and ICTCC 2017 are published by Springer in the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) series (indexed by DBLP, EI, Google Scholar, Scopus, Thomson ISI) For this sixth edition of ICCASA and third edition of ICTCC, repeating the success of previous years, the Program Committee received submissions by authors from nine countries and each paper was reviewed by at least three expert reviewers We chose 22 papers after intensive discussions held among the Program Committee members We appreciate the excellent reviews and lively discussions of the Program Committee members and external reviewers in the review process This year we chose four prominent invited speakers, Prof Phayung Meesad from King Mongkut’s University of Technology North Bangkok in Thailand, Prof Mohamed E Fayad from San Jose State University in USA, Prof Akhilesh K Sharma from Manipal University in India, and Prof Vijender K Solanki from CMR Institute of Technology in India ICCASA and ICTCC 2017 were jointly organized by The European Alliance for Innovation (EAI), Quang Nam University (QNU), and Nguyen Tat Thanh University (NTTU) These conferences could not have been organized without the strong support from the staff members of the three organizations We would especially like to thank Prof Imrich Chlamtac (University of Trento and Create-NET), Daniel Miske (EAI), and Ivana Allen (EAI) for their great help in organizing the conferences We also appreciate the gentle guidance and help from Prof Nguyen Manh Hung, chairman and rector of NTTU, and Dr Huynh Trong Duong, rector of QNU November 2017 Phan Cong Vinh Nguyen Ha Huy Cuong Emil Vassev Organization Steering Committee Imrich Chlamtac (Chair) Phan Cong Vinh Thanos Vasilakos CREATE-NET, Italy Nguyen Tat Thanh University, Vietnam Kuwait University Honorary General Chairs Huynh Trong Duong Nguyen Manh Hung Quang Nam University, Vietnam Nguyen Tat Thanh University, Vietnam General Chair Phan Cong Vinh Nguyen Tat Thanh University, Vietnam Technical Program Committee Chairs Le Tuan Anh Vangalur Alagar Nguyen Ngoc Tu Thu Dau Mot University, Vietnam Concordia University, Canada Missouri University of Science and Technology, USA Technical Program Committee Track Leader Nguyen Kim Quoc Nguyen Tat Thanh University, Vietnam Publications Committee Chair Phan Cong Vinh Nguyen Tat Thanh University, Vietnam Marketing and Publicity Committee Chair Do Nguyen Anh Thu Nguyen Tat Thanh University, Vietnam Workshops Committee Chair Emil Vassev University of Limerick, Ireland Patron Sponsorship and Exhibits Committee Chair Nguyen Ho Minh Duc Nguyen Tat Thanh University, Vietnam VIII Organization Panels and Keynotes Committee Chair Nguyen Ha Huy Cuong Quang Nam University, Vietnam Demos and Tutorials Committee Chair Abdur Rakib The University of Nottingham, Malaysia Campus, Malaysia Posters Committee Chair Vo Thi Hoa Quang Nam University, Vietnam Industry Forum Committee Chair Waralak V Siricharoen Burapha University, Thailand Special Sessions Committee Chair Vangalur Alagar Concordia University, Canada Local Arrangements Committee Chair Vu Thi Phuong Anh Quang Nam University, Vietnam Website Committee Chair Thai Thi Thanh Thao Nguyen Tat Thanh University, Vietnam Technical Program Committee Rasha Shaker Abdulwahab Govardhan Aliseri Le Hong Anh Krishna Asawa Muhammad Athar Javed Sethi Prasanalakshmi Balaji Shanmugam BalaMurugan Chintan Bhatt College of Applied Sciences, Oman Jawaharlal Nehru Technological University Hyderabad, India Ha Noi University of Mining and Geology, Vietnam Jaypee Institute of Information Technology, India University of Engineering and Technology (UET) Peshawar, Pakistan Professional Group of Institutions, India Kalaignar Karunanidhi Institute of Technology, India Charotar University of Science and Technology, India Organization Aniruddha Bhattacharjya Nguyen Phu Binh Nguyen Thanh Binh Giacomo Cabri Jamus Collier Nguyen Ha Huy Cuong Nguyen Hung Cuong Issam Damaj Shahed Mohammadi Dehnavi Charu Gandhi Kurt Geihs Hafiz Mahfooz Ul Haque Huynh Xuan Hiep Huynh Trung Hieu Phan Ngoc Hoang Zhu Huibiao Dao Huu Hung Chia-Hung Hung Nguyen Quoc Huy Muhammad Fahad Khan Ashish Khare Asad Masood Khattak Ondrej Krejcar Xuan Khoa Le WenBin Li Nguyen Phuoc Loc Manmeet Mahinderjit Singh Moeiz Miraoui Rohin Mittal Amol Patwardhan Gabrielle Peko Nguyen Thanh Phuong Nguyen Kim Quoc Abdur Rakib Sreekanth Rallapalli Ognjen Rudovic S Satyanarayana Chernyi Sergei IX Narasaraopeta Engineering College, India Institute for High Performance Computing, A*STAR Singapore Ho Chi Minh City University of Technology - HCMVNU, Vietnam University of Modena and Reggio Emilia, Italy University of Bremen, Germany Quang Nam University, Vietnam Hung Vuong University in Phu Tho Province, Vietnam The American University of Kuwait, Kuwait Ragheb Isfahani Higher Education Institute, Iran Jaypee Institute of Information Technology, India University of Kassel, Germany The University of Lahore, Pakistan Can Tho University, Vietnam Ho Chi Minh City University of Industry, Vietnam Ba Ria-Vung Tau University, Vietnam East China Normal University, China FPT Japan Co Ltd, Japan Missouri University of Science and Technology, USA Saigon University, Vietnam Fedral Urdu University of Arts, Science and Technology, Pakistan University of Allahabad, India Zayed University, UAE University of Hradec Kralove, Czech Republic Ulster University Missouri University of Science and Technology, USA Sunflower Soft Co., Vietnam Universiti Sains Malaysia, Malaysia University of Quebec, Canada State University of New York at Buffalo, USA Louisiana State University, USA The University of Auckland, New Zealand Polytechnic University of Bari, Italy Nguyen Tat Thanh University, Vietnam The University of the West of England, UK Botho University, Botswana Imperial College London, UK KL University, India Admiral Makarov State University of Maritime and Inland Shipping, Russia X Organization Manik Sharma Franỗois Siewe Waralak V Siricharoen Vijender Kumar Solanki Areerat Songsakulwattana David Sundaram Tran Huu Tam Prashant Vats Chien-Chih Yu DAV University, India De Montfort University, UK Burapha University, Thailand Institute of Technology and Science, Ghaziabad, India Rangsit University, Thailand The University of Auckland, New Zealand University of Kassel, Germany Career Point University, India National ChengChi University, Taiwan An Effective Time Varying Delay Estimator Bias of the estimator 2.5 -10 -15 -20 -25 -30 1.5 -35 -40 0.5 -45 0 500 1000 Number of samples var ( dB) CRLB( dB) var ( dB) CRLB ( dB) var ( 10 dB) CRLB ( 10 dB) var ( 15 dB) CRLB ( 15 dB) var ( 20 dB) CRLB ( 20 dB) var ( 25 dB) CRLB ( 25 dB) -5 Variance and CRLB( dB) Relative bias (%) 3.5 Variance and CRLB SNR=0 dB SNR=5 dB SNR=10 dB SNR=15 dB SNR=20 dB SNR=25 dB 4.5 223 -50 500 1000 Number of samples Fig Statistical results of the θ (n): (a) relative bias (relative to θa (n) approximation of order of θ(n), (b) variance (continuous curve) compared with CRLB (discontinuous curve) and each color corresponds to an SNR, 150 runs of Monte-Carlo simulation, N = 1024 samples, Fs = 1024 Hz, Δe = 10 mm (Color figure online) For the method MLE optimized by simulated annealing, the estimator is weakly biased (a very low relative bias

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