%{search_type} search results

• Intro
• Preface
• Organization
• Contents
• About the Editors
• Human-Centred Intelligent Systems
• Leveraging Open Innovation Practices Through a Novel ICT Platform
• 1 Introduction
• 2 ICT-Based Open Innovation Platforms
• 3 The Proposed Solution
• 3.1 Argumentation-Based Collaboration
• 3.2 Discourse Analysis
• 3.3 Position Summarization
• 4 Preliminary Evaluation
• 5 Conclusions
• References
• Advanced Analytics for Smart Farming in a Big Data Architecture Secured by Blockchain and pBFT
• 1 Introduction
• 2 Blockchain from Data Processing Perspective

• 2.1 Blockchain Data Structure and Transactions
• 2.2 Private and Public Blockchain
• 2.3 Practical Byzantine Fault Tolerance
• 3 Smart Farming and Smart City Data Analytics
• 3.1 Business Analysis for Smart Farming
• 4 Smart Systems Oriented Big Data Architecture (SSOBDA)
• 5 Architectural Requirements to Combine Big Data Architecture with Blockchain
• 5.1 Theoretical Physical Architecture
• 5.2 Deployed Physical Architecture
• 5.3 Functional Architecture
• 6 Conclusion and Perspective
• References

• Ultrasound-Coupled Electrocoagulation Based Azo Dye Fading Rate Prediction Using Deep Neural Networks
• 1 Introduction
• 2 Materials and Methods
• 2.1 Electrocoagulation
• 2.2 Ultrasound
• 2.3 Ultrasound-Coupled with Electrocoagulation
• 3 Data Analytics
• 3.1 Data Set Overview
• 3.2 Data Set Descriptive Statistics
• 3.3 Pearson Correlation
• 3.4 Deep Neural Network
• 4 Conclusion
• References
• Digital Strategy and Architecture for Human-Centered Intelligent Systems
• 1 Introduction
• 2 Smart Digitalization
• 3 Human-Centered Intelligent Systems
• 4 Digital Strategy

• 5 Intelligent Service Architecture
• 6 Conclusion
• References
• Smart Energy Management System: Methodology for Open-Pit Mine Power Grid Monitoring Applications
• 1 Introduction
• 2 Related Works
• 2.1 The Design of an Internet of Things-Based Energy Monitoring System
• 2.2 The Role of Strategic Energy Management in the Environment of Industry 4.0
• 3 Methodology and Metrics for Measuring Energy Efficiency
• 3.1 ISO 50001: Energy Management System
• 3.2 Plan, Do, Check, Act (PDCA)
• 3.3 Adoption of a Standard Operating Procedure for the Energy Management System

• 3.4 Metrics for Measuring Energy Efficiency
• 4 Material and Proposed Solution
• 4.1 System Structure
• 4.2 Sepam S40
• 4.3 Application
• 5 Results and Discussions
• 6 Conclusion and Perspectives
• References
• Intelligent Transport Systems
• Communication Trends, Research Challenges in Autonomous Driving and Different Paradigms of Object Detection
• 1 Introduction
• 2 Connected Autonomous Vehicle Architecture
• 2.1 Computing Technologies
• 2.2 AI and Deep Learning Application in Autonomous Vehicle
• 3 Object Detection in Autonomous Environment

The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2023 (KES HCIS 2023), held in Rome, Italy on June 1416, 2023. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.

• Intro
• Preface
• InMed 2023 Organization
• Contents
• About the Authors
• Innovations in Assessment, Education, and Interventions for Children with Developmental Disorders
• Online Platforms and Applications for the Development and Treatment of Reading Skills in Children
• A Comparison Between Three Countries
• 1 Introduction
• 2 Reading Skills
• 2.1 Aetiology for Reading Difficulties
• 3 Types of Online Educational and Therapeutics Tools
• 3.1 Online Learning Tools
• 3.2 Learning Management Systems
• 3.3 Communication Tools
• 3.4 Internet-Based Educational Resources

• 3.5 Video Games with an Educational Component
• 4 Materials and Method
• 5 Results
• 5.1 Bulgarian Platforms
• 5.2 Libyan Platforms
• 5.3 Greek Platforms
• 6 Conclusions
• References
• Development of Three Language Digital Platform for Early Childhood Development Screening PTES - Preliminary Parents Self-check Results
• 1 Introduction
• 2 Digital Platform for Early Childhood Development Screening PTES
• 2.1 Theoretical Model
• 2.2 Platform for Observers - Specialist SLT of Psychologists
• 2.3 Platform for Parent's Self-check - Independent Users

• 3 Preliminary Results from the Parents' Self-check Platform and Feedback
• 3.1 Data Collection Age 0-3 Months
• 3.2 Data Collection Age 3-6 Months
• 3.3 Data Collection Age 6-9 Months
• 3.4 Data Collection Age 9-12 Months
• 4 Translation of the Questionnaire for Specialists in Different Regions
• 5 Future Directions
• 6 Conclusions
• References
• Online Parent Counselling in Speech and Language Therapy
• The View of the Professionals
• 1 Introduction
• 1.1 Speech and Language Therapy, Parental Involvement

• 1.2 Online Interventions for Parents of Children with Speech and Language Disorders
• 1.3 Parental Views of Online Interventions
• 2 Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• Data Driven Models for Health Care Systems
• Modelling Competing Risk for Stroke Survival Data
• 1 Introduction
• 2 Main Statistical Characteristics of the Stroke Clinical Data
• 3 Estimates of Cumulative Incidence Function
• 4 Fine-Grey Regression Model of Competing Risk
• 5 Conclusion
• Appendix
• References

• Artificial Intelligence Chatbots and Conversational Agents - An Overview of Clinical Studies in Health Care
• 1 Introduction
• 2 AI Driven Chatbots/conversational Agents
• 3 Clinical Studies Involving Chatbots/Conversational Agents
• 4 Conclusions
• References
• Challenges and Solutions for Artificial Intelligence Adoption in Healthcare - A Literature Review
• 1 Introduction
• 2 Review Methodology
• 2.1 Identification of Articles
• 2.2 Screening and Inclusion of Articles
• 2.3 Data Extraction and Analysis
• 3 Challenges
• 3.1 Black-Box Decision Making
• 3.2 Data Availability

This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-23), held in Rome, Italy, on June 1416, 2023. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.

• Artificial Neural Networks for Prediction of Hot Metal Production in a Blast Furnace
• The Method of Ontological Designing of Complex Structural Events in the Study of Strikes of Aircraft with Wildlife
• Effect Analysis of Service Entrance Box on the Wireless Communication Performance of Home Electric Power Meters
• A Digitally Controlled Delay Generator Implemented with Cyclone V FPGA using Timing Analysis
• Design study of the electric power supply system between Punta Arenas residential complex and Petropers Talara Refinery through an Automatic Load Transfer System, Piura - Peru
• Application of cluster analysis to electricity generation data from the Santo Antnio hydroelectric plant in the state of Rondnia, Brazil
• Changes in salivary pH after application of xylitol toothpaste using a digital pH meter: a pilot study
• PID Controller Optimized based on PSO for Trajectory Tracking of Free-Floating Satellite Robotic Manipulator
• Aquatic quantification of toxic heavy metals due to physical-chemical factors in meat production of Oncorhynchus mykiss (rainbow trout) in controlled open systems case: Lagunillas-Lampa, Puno
• Footprints effectiveness as decision-making tools for promoting sustainability
• Analysis of deforestation at an annual rate in the Sub-basins of the Rio Mayo and its relationship with Precipitation
• A machine learning study to classify the type of anemia in children under 5 years of age
• Appreciation of virtual teaching compared to face-to-face teaching during the SARS-Cov-2 pandemic by clinical students in undergraduate Dentistry
• Influence of adaptive traffic lights for delay and conflict reduction applying the SSAM model at an urban intersection
• Influence of the earthquake generating mechanism of Peru, Chile, the United States and Italy on their respective seismic isolation standards
• Antibacterial effect of the ethanolic extract of Curcuma longa L. and Erythroxylum coca var.coca at different concentrations against Streptococcus mutans: Comparative study in vitro
• Management of Family Businesses in The Face of the New Scenario of Global Digital Transformation
• Assessing the early-age drying shrinkage cracking in polyamide and alkali resistant glass microfibers reinforced concrete.

This book presents the proceedings of the 8th Brazilian Technology Symposium (BTSym'22). The book discusses current technological issues on Systems Engineering, Mathematics, and Physical Sciences, such as the Transmission Line, Protein-Modified Mortars, Electromagnetic Properties, Clock Domains, Chebyshev Polynomials, Satellite Control Systems, Hough Transform, Watershed Transform, Blood Smear Images, Toxoplasma Gondi, Operation System Developments, MIMO Systems, Geothermal-Photovoltaic Energy Systems, Mineral Flotation Application, CMOS Techniques, Frameworks Developments, Physiological Parameters Applications, BrainComputer Interface, Artificial Neural Networks, Computational Vision, Security Applications, FPGA Applications, IoT, Residential Automation, Data Acquisition, Industry 4.0, Cyber-Physical Systems, Digital Image Processing, Patters Recognition, Machine Learning, Photocatalytic Process, Physical-Chemical Analysis, Smoothing Filters, Frequency Synthesizers, Voltage Controlled Ring Oscillator, Difference Amplifier, Photocatalysis, and Photodegradation, and current technological issues on Human, Smart, and Sustainable Future of Cities, such as the Digital Transformation, Data Science, Hydrothermal Dispatch, Project Knowledge Transfer, Immunization Programs, Efficiency and Predictive Methods, PMBOK Applications, Logistics Process, IoT, Data Acquisition, Industry 4.0, Cyber-Physical Systems, Fingerspelling Recognition, Cognitive Ergonomics, Ecosystem Services, Environmental, Ecosystem Services valuation, Solid Waste, and University Extension.

• Artificial Intelligence based Framework for Robotic Search and Rescue Operations Conducted Jointly by International Teams
• Resonant Adjustment of Vibrating Machines with Unbalance Vibroexciter. Problems and Solutions
• Comparative Analysis of the Industrial Exoskeleton Control Systems
• Study of the Jumping Robot Acceleration Modes
• Development of Multipurpose Mobile Platform with a Modular Structure
• Synchronized Relay-Races as the Basic Model of Complex Machinery Production
• Algorithm to Synthesize Control Force for Tripod Manipulator Drives
• Motion Control Algorithm of a Mobile Gas Analyzer of the Fire Safety System
• Features of Designing a Dual-Circuit Control System Robotic Drive
• Industrial Collaborative Multiagent Systems: Main Challenges
• Object-Oriented Programming Robot Refactoring and its Effectiveness Estimation
• Principles of Multialternativity in Adaptive Nonlinear Systems Identification
• Intelligent Information System for Oilfield Electric Networks
• Cyber-Physical Control System of a Hybrid Power Plant
• Controlled Vibration Protection Systems: Optimization and Verification.

This book features selected papers presented at the 14th International Conference on Electromechanics and Robotics 'Zavalishin's Readings' - ER(ZR) 2019, held in Kursk, Russia, on April 17-20, 2019. The contributions, written by professionals, researchers and students, cover topics in the field of automatic control systems, electromechanics, electric power engineering and electrical engineering, mechatronics, robotics, automation and vibration technologies. The Zavalishin's Readings conference was established as a tribute to the memory of Dmitry Aleksandrovich Zavalishin (1900-1968) - a Russian scientist, corresponding member of the USSR Academy of Sciences, and founder of the school of valve energy converters based on electric machines and valve converters energy. The first conference was organized by the Institute of Innovative Technologies in Electromechanics and Robotics at the Saint Petersburg State University of Aerospace Instrumentation in 2006. The 2019 conference was held with the XIII International Scientific and Technical Conference "Vibration 2019", and was organized by Saint Petersburg State University of Aerospace Instrumentation (SUAI), Saint Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS) and the Southwest State University (SWSU) in with cooperation Russian Foundation for Basic Research (project No. 19-08-20021)

• Preface; Conference Committee; Contents; About the Editors; Part I Soft Computing Techniques for Advanced Computing; 1 Fuzzy Logic Based UPFC Controller for Voltage Stability and Reactive Control of a Stand-Alone Hybrid System; Abstract; 1 Introduction; 2 System Configuration and Its Mathematical Modeling; 2.1 UPFC Controller; 3 Fuzzy Logic Controller (FLC); 3.1 Self-Tuning Fuzzy PI Controller; 4 Simulation Results; 5 Conclusion; Appendix; References; 2 APSO Based Weighting Matrices Selection of LQR Applied to Tracking Control of SIMO System; Abstract; 1 Introduction; 2 Problem Formulation.

• 3 Adaptive PSO; 4 Single Inverted Pendulum; 5 Results and Discussion; 5.1 Trajectory Tracking Response; 6 Conclusions; References; 3 Application of Fuzzy Soft Multi Sets in Decision-Making Problems; Abstract; 1 Introduction; 2 Preliminary Notes; 3 An Adjustable Approach Based on Feng's Algorithm; 3.1 Feng's Algorithm Using Choice Values; 3.2 Application of Fuzzy Soft Multi Sets in Decision-Making Problems; 3.3 Application in Decision-Making Problems; 4 Conclusion; References; 4 Fuzzy kNN Adaptation to Learning by Example in Activity Recognition Modeling; Abstract; 1 Introduction.

• 2 Fuzzy Set Theory; 2.1 Fuzzification of Feature Space by Learning from Data; 3 Modified Fuzzy k-Nearest Neighbor Classifier; 3.1 Theory on Fuzzy Similarity and Rules Reductions via t-Norms; 3.2 Proposed Algorithm of the Modified Fuzzy kNN by Learning from Data (FNN-LD); 4 Experimental Results and Discussion; 5 Conclusion and Future Direction; References; 5 Plant Leaf Recognition Using Ridge Filter and Curvelet Transform with Neuro-Fuzzy Classifier; Abstract; 1 Introduction; 2 Proposed Approach; 2.1 Pre-Processing (PP); 2.2 Curvelet Transform (CT); 2.3 Invariant Moment (IM).

• 2.4 Ridge Filter (RF); 2.5 Statistical Measures; 2.6 Features; 2.7 Classification; 3 Experimentations and Results; 4 Analysis; 5 Conclusions; References; 6 An Effective Prediction of Position Analysis of Industrial Robot Using Fuzzy Logic Approach; Abstract; 1 Introduction; 2 Literature Review; 3 Methods of Solution; 3.1 Forward Kinematics Equation for Six Axis Industrial Robot; 3.2 Fuzzy Logic System; 4 Results and Discussions; 5 Conclusion; References; 7 Pitch Angle Controlling of Wind Turbine System Using Proportional-Integral/Fuzzy Logic Controller; Abstract; 1 Introduction.

• 2 System Description; 3 Mathematical Modeling of WT; 4 Mathematical Modeling of PMSG; 5 Blade Pitch Angle and TSR Control Strategies; 5.1 Proportional
• Integral Controller; 5.2 Fuzzy Logic Controller; 6 Results and Discussion; 6.1 Transient and Comparative Analysis; 7 Conclusions; Appendix; References; 8 Recognition of Repetition and Prolongation in Stuttered Speech Using ANN; Abstract; 1 Introduction; 2 Literature Review; 3 Methodology; 3.1 Segmentation; 3.2 Feature Extraction; 3.3 Classification; 4 Results and Discussion; 5 Summary and Conclusion; References.

Advanced Computing, Networking and Informatics are three distinct and mutually exclusive disciplines of knowledge with no apparent sharing/overlap among them. However, their convergence is observed in many real world applications, including cyber-security, internet banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two volume proceedings explore the combined use of Advanced Computing and Informatics in the next generation wireless networks and security, signal and image processing, ontology and human-computer interfaces (HCI). The two volumes together include 132 scholarly articles, which have been accepted for presentation from over 550 submissions in the Third International Conference on Advanced Computing, Networking and Informatics, 2015, held in Bhubaneswar, India during June 23-25, 2015.

• About the Conference
• Acknowledgement.- Conference Committee.- Editor's Biography.- Preface.- Table of Contents
• Chapters
• Author Index.

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining.
Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques.
The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis.
The book addresses different methods and techniques of integration for enhancing the overall goal of data mining.
The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

• Part 1. PART A. FOUNDATIONS
• Extensions of Dynamic Programming as a New Tool for Decision Tree Optimization / Abdulaziz Alkhalid, Igor Chikalov, Shahid Hussain and Mikhail Moshkov
• Optimised Information Abstraction in Granular Min/Max Clustering / Andrzej Bargiela and Witold Pedrycz
• Mining Incomplete Data--A Rough Set Approach / Jerzy W. Grzymala-Busse and Zdzislaw S. Hippe
• Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigation / Estevam R. Hruschka Jr. and Maria do Carmo Nicoletti
• Evolving Intelligent Systems: Methods, Algorithms and Applications / Andre Lemos, Walmir Caminhas and Fernando Gomide
• Emerging Trends in Machine Learning: Classification of Stochastically Episodic Events / B. John Oommen and Colin Bellinger
• Learning of Defaults by Agents in a Distributed Multi-Agent System Environment / Henryk Rybinski, Dominik Ryżko and Przemysław Więch
• Rough Non-deterministic Information Analysis: Foundations and Its Perspective in Machine Learning / Hiroshi Sakai, Hitomi Okuma and Michinori Nakata
• Introduction to Perception Based Computing / Andrzej Skowron and Piotr Wasilewski
• Overlapping, Rare Examples and Class Decomposition in Learning Classifiers from Imbalanced Data / Jerzy Stefanowski
• A Granular Computing Paradigm for Concept Learning / Yiyu Yao and Xiaofei Deng
• Emerging Paradigms in Machine Learning: An Introduction / Sheela Ramanna, Lakhmi C. Jain and Robert J. Howlett.

• Part 2. PART B. APPLICATIONS
• Identifying Calendar-Based Periodic Patterns / Jhimli Adhikari and P.R. Rao
• The Mamdani Expert-System with Parametric Families of Fuzzy Constraints in Evaluation of Cancer Patient Survival Length / Elisabeth Rakus-Andersson
• Support Vector Machines in Biomedical and Biometrical Applications / Krzysztof A. Cyran, Jolanta Kawulok, Michal Kawulok, Magdalena Stawarz and Marcin Michalak, et al.
• Workload Modeling for Multimedia Surveillance Systems / Mukesh Saini, Pradeep K. Atrey and Mohan S. Kankanhalli
• Rough Set and Artificial Neural Network Approach to Computational Stylistics / Urszula Stańczyk
• Application of Learning Algorithms to Image Spam Evolution / Shruti Wakade, Kathy J. Liszka and Chien-Chung Chan.

This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.

• Understanding the Other Side -- The Inside Story of the INFER Project / Katarzyna Musial, Marcin Budka, Wieslaw Blysz
• Smart Meetings: Experimenting with Space / Jeremy Frey, Colin Bird, Cerys Willoughby
• Human Aspects of Smart Spaces for Knowledge Transfer / Jeremy Frey, Colin Bird, Cerys Willoughby
• Smart Meeting Spaces for Knowledge Transfer / Jeremy Frey, Colin Bird, Cerys Willoughby
• Facilitating Knowledge Transfer in IANES -- A Transactive Memory Approach / Matthias Neubauer, Stefan Oppl
• Nonlinear Time Series Analyses in Industrial Environments and Limitations for Highly Sparse Data / Emili Balaguer-Ballester
• Next-Practise in University Research Based Open Innovation -- From Push to Pull: Case Studies from Denmark / Jens Rønnow Lønholdt, Mille Wilken Bengtsson
• Embedding Creative Processes in the Development of Soft Body Armour: Physiological, Aesthetic, Functionality and Strategic Challenges / Janet Coulter
• The Alchemy Exchange -- Turning Student Consultancy Opportunities into a Good Student Experience / Felicity Mendoza, Jonathan Gorst
• The Use of Accompanying Funding Offers When Starting Knowledge Transfer Projects: The Case of National Innovation Agents in Denmark / Erik W. Hallgren
• How to Facilitate Knowledge Collaboration -- Developing Next Practice / Elinor Bæk Thomsen, Trine Lumbye
• The On-Campus Innovation Factory -- Boosting University Research Based Innovation / Lars Hein
• Knowledge Transfer through Diversity Coach and Mentoring Partnerships / Ileana Hamburg
• The Third Way for the Third Sector: Using Design to Transfer Knowledge and Improve Service in a Voluntary Community Sector Organisation / Mark Bailey, Laura Warwick
• Living Labs: Frameworks and Engagement / Maurice Mulvenna, Suzanne Martin
• Leading Innovation through Knowledge Transfer to Social Enterprises in Northern Ireland / Eddie Friel, Kerry Patterson
• Planes, Trains and Automobiles: The Importance of Location for Knowledge Transfer in the Transportation Sector / Jeffrey A. Moore, Daniel K.N. Johnson
• Information Sharing among Innovative SME: An Exploratory Study within the Portuguese SME Innovation Network / Esther Lage, Bráulio Alturas
• Interdisciplinarity: Creativity in Collaborative Research Approaches to Enhance Knowledge Transfer / Janet Coulter
• Requirements of Knowledge Commercialization in Universities and Academic Entrepreneurship / Samira Nadirkhanlou, Ali Asghar Pourezzat Case Study: Innovative Methodologies for Measuring and Mitigating Network Risk in the Electricity Distribution Industry / Simon Blake, Philip Taylor, David Miller
• KTP and M-Commerce: Innovation in the Building Industry / Paul Crowther
• Knowledge for Business (K4B): A University -- Business Knowledge Transfer Collaboration Framework / Phil Fiddaman, Robert Howie, Dominic Bellamy
• Industrial Funding Path Analysis in the Italian University System / Mariafebronia Sciacca
• Breaking Down Barriers and Building Collaboration Knowledge Transfer Success Stories from Wales / Jarmila Davies
• SDL Approach to University-Small Business Learning: Mapping the Learning Journey / Christopher J. Brown, Diane Morrad
• Innovative Challenges in Indian University Education: Agenda for Immediate Future / M.L. Ranga.

Across the world there is growing awareness of the importance of innovation and knowledge transfer. Innovation in the sense of generating new knowledge and making better use of existing knowledge, coupled with knowledge transfer and sharing paradigms, have never been more relevant to the universities, industry, commerce and the third sector. This volume represents the proceedings of the Innovation through Knowledge Transfer 2012 Conference which formed an excellent opportunity to disseminate, share and discuss the impact of innovation, knowledge sharing, enterprise and entrepreneurship. The volume contains papers presented at a Workshop on 'The Meta Transfer of Knowledge: Challenges in the Transfer of Knowledge in Industry', others from thematic sessions on 'Next-Practice in University Based Open Innovation', 'Social Innovation and Related Paradigms', 'Engagement with Industry and Commerce' and 'Knowledge Exchange'. All papers were thoroughly reviewed by referees knowledgeable in practical and theoretical aspects of the subject.
(source: Nielsen Book Data)

• Part 1. Modeling
• Affective Modeling for an Intelligent Educational Environment / Yasmín Hernández, L. Enrique Sucar and Gustavo Arroyo-Figueroa
• ALEM: A Reference Model for Educational Adaptive Web Applications / Mohammed Tadlaoui, Azeddine Chikh and Karim Bouamrane
• Proactive Sequencing Based on a Causal and Fuzzy Student Model / Alejandro Peña-Ayala and Humberto Sossa
• Exploiting Learner Models Using Data Mining for E-Learning: A Rule Based Approach / Marianne Holzhüter, Dirk Frosch-Wilke and Ulrike Klein.

• Part 2. Content
• A Study of a Learning Style Index to Support an Intelligent and Adaptive Learning Systems / Mohamed Hamada, Kuseke Nishikawa and John Brine
• GRAPPLE: Learning Management Systems Meet Adaptive Learning Environments / Paul De Bra, David Smits, Kees van der Sluijs, Alexandra I. Cristea and Jonathan Foss, et al.
• Performance Evaluation of Decision-Based Content Selection Approaches in Adaptive Educational Hypermedia Systems / Pythagoras Karampiperis and Demetrios G. Sampson
• PCMAT -- Mathematics Collaborative Educational System / Constantino Martins, Luiz Faria, Marta Fernandes, Paulo Couto and Cristina Bastos, et al.
• A Framework for Automatic Construction of Reusable Adaptive Courses: The Case of ProPer SAT 2.0 / Ioannis Kazanidis and Maya Satratzemi
• Interoperable Intelligent Tutoring Systems as SCORM Learning Objects / Gustavo Soares Santos and Joaquim Jorge.

• Part 3. Virtuality
• Real Classrooms in Virtual Worlds: Scaffolding Interdisciplinary Collaborative Writing / Reneta D. Lansiquot
• A Smart Home Lab as a Pedagogical Tool / Antonio Sanchez and Lisa Burnell
• Supporting Hybrid Courses with Closed-Loop Adaptive Training Technology / James E. McCarthy, John L. Wayne and Brian J. Deters
• CELTS: A Cognitive Tutoring Agent with Human-Like Learning Capabilities and Emotions / Usef Faghihi, Philippe Fournier-Viger and Roger Nkambou.

• Part 4. Applications
• Incorporation of Agent Prompts as Scaffolding of Reflection in an Intelligent Learning Environment / Longkai Wu and Chee-Kit Looi
• Acquisition of Higher Order Knowledge by a Dynamic Modeling Environment Based on the Educational Concept of Self-Regulated Learning / Stefanie A. Hillen
• Seamless Web-Mediated Training Courseware Design Model: Innovating Adaptive Educational-Learning Systems / Elspeth McKay and John Izard
• Intuitionistic Fuzzy Logic-Based Approach of Intrinsic Motivation in CSCL Settings during Illusionary Sense of Control / Sofia Hadjileontiadou, Georgia Nikolaidou and Leontios Hadjileontiadis
• An Intelligent System for Modeling and Supporting Academic Educational Processes / Setsuo Tsuruta, Rainer Knauf, Shinichi Dohi, Takashi Kawabe and Yoshitaka Sakurai
• Intelligent Decision-Making Support within the E-Learning Process / Dorota Dżega and Wiesław Pietruszkiewicz.

The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the zIntelligent and Adaptive Educational-Learning Systemsy. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts as follows: · Modeling: The first part embraces five chapters oriented to: 1) shape the affective behavior; 2) depict the adaptive learning curriculum; 3) predict learning achievements; 4) mine learner models to outcome optimized and adaptive e-learning objects; 5) classify learning preferences of learners. · Content: The second part encompasses five chapters aimed to: 6) provide adaptive guidance and personalized content; 7) adaptively select learning objects; 8) collaboratively generate learning objects; 9) automatic development of reusable adaptive content; 10) deploy intelligent tutoring systems as learning objects. · Virtuality: The third part holds four chapters dedicated to: 11) explain how Second Life was used to promote collaborative writing; 12) acquire knowledge within a smart home environment; 13) share experiences of adaptive training virtual systems; 14) reveal how an agent is used in a simulation-based tutoring system for learning the complex task of operating a robotic arm. · Applications: The fourth part owns six chapters concerned about: 15) an agent-based way to design scaffolding to prompt reflection; 16) the stimulation of self-regulated to learn higher order knowledge; 17) a web-mediated training system design architecture; 18) a decision making model upon the quality of the collaboration; 19) a dynamic storyboarding system to support academic process; 20) an analysis of educational and business effects of artificial intelligence application on education. The authors, reviewers and editors of this book expect this volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.

• Part 1. Methodologies of Intelligent Decision Technology
• Compromise Decision-Making Model to Recover Emergency Logistics Network / Yiping Jiang and Lindu Zhao
• A Decision Table Method for Randomness Measurement / Nawaf Alkharboush and Yuefeng Li
• A Descriptor-Based Division Chart Table in Rough Non-deterministic Information Analysis / Hiroshi Sakai, Hitomi Okuma, Mao Wu and Michinori Nakata
• A Method of Internet-Analysis by the Tools of Graph Theory / Sergii V. Kavun, Irina V. Mykhalchuk, Nataliya I. Kalashnykova and Oleksandr G. Zyma
• A Multi-agent Decision Support System for Path Planning under Reciprocal Constraints / Miri Weiss-Cohen, Gideon Avigad and Erella Eisenstadt
• A New Way to Make Decisions with Paired Comparisons / Youichi Iida
• A Stackelberg Location on a Network with Fuzzy Random Demand Quantities Using Possibility Measure / Takeshi Uno, Hideki Katagiri and Kosuke Kato
• A Structural Analysis Based on Similarity between Fuzzy Clusters and Its Application to Evaluation Data / Ryunosuke Chiba, Toshiaki Furutani and Mika Sato-Ilic
• A Study of Maslow's Hierarchy of Needs and Decision-Making / Hiroyuki Kishi, Koji Ito, Shin Sugiura and Eizo Kinoshita
• Adjustment Mechanism of Concurrent Convergence Method Models / Shin Sugiura and Eizo Kinoshita
• An Alternative View of Uncertainty in Bilateral Bargaining Models with Incomplete Information / Javier González and Vitaliy V. Kalashnikov.

• An Interactive Fuzzy Satisficing Method for Multiobjective Stochastic Linear Programming Problems Considering Both Probability Maximization and Fractile Optimization / Hitoshi Yano
• Assignment Problem Based on Mathematical Formation of Consensus / Hiroaki Ishii and Yung-Lung Lee
• Bilevel Toll Optimization Problems: A Heuristic Algorithm Based Upon Sensitivity Analysis / Nataliya I. Kalashnykova, Vyacheslav V. Kalashnikov and Roberto C. Herrera Maldonado
• Building a Type II Fuzzy Qualitative Regression Model / Yicheng Wei and Junzo Watada
• Building Fuzzy Random Autoregression Model and Its Application / Lu Shao, You-Hsi Tsai, Junzo Watada and Shuming Wang
• Building Linguistic Random Regression Model and Its Application / Sha Li, Shinya Imai and Junzo Watada
• Classifying Attributes with Game-Theoretic Rough Sets / Nouman Azam and JingTao Yao
• Context-Based Decision Support for Energy Efficiency and Emissions Trading in Industry: The LifeSaver Approach / Rui Neves-Silva, Maria Marques, Ana Rita Campos, Christian Wolff and Boris Sucic
• Entropy Model of a Fuzzy Random Portfolio Selection Problem / Takashi Hasuike and Hideki Katagiri
• Formalization of Decentralized Cooperation Model for Disaster Simulation / Bipin Khanal, Nobuhiro Ito, Kazunori Iwata and Naohiro Ishii
• Fuzzy Decision Making Model for Human Fall Detection and Inactivity Monitoring / Marina V. Sokolova and Antonio Fernández-Caballero.

• Interactive Approach for Random Fuzzy Two-Level Programming Problems through Fractile Criterion Optimization under Possibility / Shimpei Matsumoto, Kosuke Kato and Hideki Katagiri
• Main Branch Decision Tree Algorithm for Yield Enhancement with Class Imbalance / Chia-Yu Hsu, Chen-Fu Chien and Yai-Chun Lai
• Medical Discriminant Analysis by Modular Fuzzy Model / Hirosato Seki and Toshihiko Watanabe
• Normalization Method Based on Dummy Alternative with Perfect Evaluation Score in AHP and ANP / Kazutomo Nishizawa
• Performance Evaluation of SIRMs Models for Classification Problems / Tomoharu Nakashima and Hirosato Seki
• Ranking Alternatives under FWA by Riemann Integral Based Mean of Removals / Ta-Chung Chu and Sophy Lach
• Representation and Evaluation of Granular Systems / Marcin Szczuka and Dominik Ślęzak
• Similarity Analysis Based on the Weighted Moving Window for Tissue Characterization of Plaque in Coronary Arteries / Gancho Vachkov and Eiji Uchino
• Simultaneous Optimization of Customer Satisfaction and Cost Function by Nature Inspired Computing / János Botzheim and Péter Földesi
• Super Pairwise Comparison Matrix in the Multiple Dominant AHP / Takao Ohya and Eizo Kinoshita
• Visualization of Rules in Rule-Based Classifiers / Susanne Bornelöv, Stefan Enroth and Jan Komorowski.

• Part 2. Applications of Intelligent Decision Technology
• A Dynamic Programming Decision-Making Model of Investment Policy for Unconventional Oil Exploitation / Jinfeng Sun and Xiangpei Hu
• A Proposal of Farmers Information System for Urban Markets / Tomoko Kashima, Shimpei Matsumoto, Hiroshi Iseda and Hiroaki Ishii
• An Approach to the Real-Time Risk Analysis for Hazardous Material Transportation / Linlin Liu, Lijun Sun, Jianming Li, Chao Li and Xiangpei Hu
• An Intelligent Agent Framework to Manage Web Services Security / Bala M. Balachandran, Dharmendra Sharma and Chris Peiris
• Application of Decision Rules, Generated on the Basis of Local Knowledge Bases, in the Process of Global Decision-Making / Małgorzata Przybyła-Kasperek and Alicja Wakulicz-Deja
• Application of the Cournot and Stackelberg Mixed Duopoly Models for Mexican Real Estate Market / Vitaliy V. Kalashnikov, Daniel Flores Curiel and Javier González
• Bayesian Network Based Prediction Algorithm of Stock Price Return / Yi Zuo, Masaaki Harada, Takao Mizuno and Eisuke Kita
• Building a Decision Support Tool for Taiwan's National Health Insurance Data -- An Application to Fractures Study / Chien-Lung Chan, Phan Dinh Van and Nan-Ping Yang
• Case of Process Mining from Business Execution Log Data / Joonsoo Bae and Young Ki Kang.

• Consistent Conjectures in Mixed Oligopoly with Discontinuous Demand Function / Nataliya I. Kalashnykova, Vyacheslav V. Kalashnikov and Mario A. Ovando Montantes
• Convergence Properties of Criteria Weights of Dominant AHP with Solving Equations of Interchangeability / Takafumi Mizuno, Shin Sugiura and Eizo Kinoshita
• Decision Making on the Optimization of Budget Allocation for Safety / Yuji Sato
• Derivations of Factors Influencing the Technology Acceptance of Smart TV by Using the DEMATEL Based Network Process / Chi-Yo Huang, Yu-Wei Liu and Gwo-Hshiung Tzeng
• Designing a Rule Based Expert System for Selecting Pavement Rehabilitation Treatments Using Rough Set Theory / Ehsan Akhlaghi and Farshid Abdi
• Detection of Comoving Groups in a Financial Market / Takeo Yoshikawa, Takashi Iino and Hiroshi Iyetomi
• Develop an Intelligence Analysis Tool for Abdominal Aortic Aneurysm / Nan-Chen Hsieh, Jui-Fa Chen and Hsin-Che Tsai
• Developing Marketing Strategies Based on Taste Analysis of Mineral Water / Le Yu, Junzo Watada and Munenori Shibata
• Estimation of Subjective Stress via Simplified Biosignal Measurement / Yoshihito Maki, Genma Sano, Yusuke Kobashi, Tsuyoshi Nakamura and Masayoshi Kanoh, et al.
• Evaluating Cloud Computing Based Telecommunications Service Quality Enhancement by Using a New Hybrid MCDM Model / Chi-Yo Huang, Pei-Chu Hsu and Gwo-Hshiung Tzeng.

The Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others. Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces, collaborative systems, intelligent web mining, e-commerce, e-learning, e-business, bioinformatics, evolvable systems, virtual humans, and designer drugs. This volume contains papers from the Fourth KES International Symposium on Intelligent Decision Technologies (KES IDT'12), hosted by researchers in Nagoya University and other institutions in Japan. This book contains chapters based on papers selected from a large number of submissions for consideration for the conference from the international community. The volume represents the current leading thought in intelligent decision technologies.

• Part 1. Applications of Intelligent Decision Technology
• Evaluating Top Services-Prepackaged Software Firms in Standard and Poor's 500 Index by Using a Multiple Objective Programming Based Data Envelopment Analysis / Chi-Yo Huang, Po-Yen Wang and Gwo-Hshiung Tzeng
• Hot Fomentation of the Lower-Back for Stress Relief in Students Preparing for a National Examination of Clinical Medical Technologist / Hanachiyo Nagata, Junzo Watada, Ito Yushi, Takao Shindo and Masasuke Takefu, et al.
• Hybrid MCDM Model for the Value Evaluation of the Restoration of Historical Objects / Mei-Chen Lo, Tadeusz Trzaskalik, Maciej Nowak, Tian-Jong Hwu and Gwo-Hshiung Tzeng, et al.
• Immunization of Networks via Modularity Based Node Representation / Tetsuya Yoshida and Yuu Yamada
• Information Fusion Approach in Computer-Aided Detection of Pathological Changes / Mirosław Trzupek and Marek R. Ogiela
• Manufacturing Intelligence to Forecast the Customer Order Behavior for Vendor Managed Inventory / Chen-Fu Chien, Chia-Yu Hsu and Sheng-Chiao Lin
• MCDM Method for the Behavior of Innovative New Product Development / Mei-Chen Lo
• Medical Decision Support System for Assessment of Dermatoglyphic Indices and Diagnosis of Down's Syndrome / Hubert Wojtowicz and Wieslaw Wajs
• Parallel Servers Scheduling with Dynamic Sequence-Dependent Setup Time / Thanh-Cong Dinh and Hyerim Bae.

• Research on Complexity and Evolution of Business Model Innovation / Wang Qian, Li Chaoyang, Jiang Qian and Qi Jiangna
• Research on Emergency Crowd Behavior Based on Epidemic Dynamics / Yingchao Pei and Guangmou Wu
• Strategies for Promoting Tourism Competitiveness Using a Hybrid MCDM Model / Kua-Hsin Peng and Gwo-Hshiung Tzeng
• Symbolic Hierarchical Clustering for Pain Vector / Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura and Kenji Watanabe, et al.
• Temporal Perspective for the Software Testing Decision Support Framework / Masoud Mohammadian, Bala M. Balachandran and Deane Larkman
• Toward Learning Support for Decision Making: Utilization of Library and Lecture Data / Toshiro Minami and Yoko Ohura
• Using a Hybrid MCDM Model Combining Fuzzy DEMATEL Technique to Examine the Job Stress of Coach Driver / Chui-Hua Liu, Gwo-Hshiung Tzeng, Ming-Huei Lee, Hao-Lin Tseng and Po-Yan Lee
• Using Fuzzy MCDM Method to Exploring the Influence Degree of Project Team Effectiveness Maturity / YaoFeng Chang and Hiroaki Ishii
• A Model Study on Emotional Communication in a Mono-brand Fashion Store Application of the Lens Model in the Fashion Industry / Zhiqing Jiang and Shin'ya Nagasawa
• Part 2. Other Related Topics
• A Proposal of a Japanese Input System for Mobile Terminals Enhanced by the Word Forecast Function Based on the Location Information / Ken Tarusawa, Jun Sawamoto, Eiji Sugino and Norihisa Segawa.

• Activity Recognition by Fuzzy Logic System in Wireless Sensor Network for Physical Therapy / Shu-Yin Chiang, Yao-Chiang Kan, Ying-Ching Tu and Hsueh-Chun Lin
• Adaptive Reinforcement Learning for Dynamic Environment Based on Behavioral Habit / Akihiro Mimura, Shota Sumino and Shohei Kato
• An Exploration of Individual Level Tacit Knowledge Integration / Dao Cheng Hong, Hong Ling and Cheng Hong Zhang
• Analysis of Tourist Subjective Data in Smartphone Based Participatory Sensing System by Interactive Growing Hierarchical SOM / Takumi Ichimura, Shin Kamada and Kosuke Kato
• Framework on the Innovative Education System for Entrepreneurship / Mei-Chen Lo
• Bio-Inspired Image Analysis Using E-Ubias Cognitive Systems / Lidia Ogiela and Marek R. Ogiela
• Biorheological Delivery Engines in the Context of Facial Harmony / Tarik Ozkul, Haluk M. Ozkul and John Ronczka
• Celebrities as Marketing EnhancerCase Analysis of the Alternative Food Movement and "Eco-Chic" Lifestyle Advocacy / Shinichiro Terasaki and Shin'ya Nagasawa
• Directional Bias between Communities of a Production Network in Japan / Takashi Iino and Hiroshi Iyetomi
• Enterprise Insider Detection as an Integer Programming Problem / Sergii V. Kavun, Ivan V. Sorbat and Vyacheslav V. Kalashnikov
• ES-DM: An Expert System for an Intelligent Exploitation of the Large Data Set / Amel Grissa Touzi and Mohamed Amine Selmi.

• Evolution of Friendship Networks and Transition of Their Properties / Hiroshi Matsushima and Nobuhiro Inuzuka
• Feedback GMDH-Type Neural Network Algorithm Using Prediction Error Criterion Defined as AIC / Tadashi Kondo, Junji Ueno and Shoichiro Takao
• GPGPU Implementation of Fuzzy Rule-Based Classifiers / Tomoharu Nakashima, Keigo Tanaka, Noriyuki Fujimoto and Ryosuke Saga
• Granule Mining and Its Application for Network Traffic Characterization / Bin Liu, Yuefeng Li and Kewen Wang
• How to Deal with Overgood and Underbad Alternatives in Bipolar Method / Tadeusz Trzaskalik and Sebastian Sitarz
• Improved Defect Classification of Printed Circuit Board Using SVM / Yuji Iwahori, Deepak Kumar, Takuya Nakagawa and M.K. Bhuyan
• Improving the Strategic Level Performance Measurement in Warehousing Processes / Péter Németh, Péter Földesi and János Botzheim
• Informatics Medicine as an Intervention That Uses Medicine Informatics Data Systems / John Ronczka
• Intelligent Community Embedded Speech Recognition System Research / Zhanhong Mo, Jiangyan Qi and Cunmi Song
• Interactive Grammars: Toward Perception Based Computing / Andrzej Skowron and Piotr Wasilewski
• Line Graph for Weighted Networks toward Overlapping Community Discovery / Tetsuya Yoshida
• Modeling of Climate Data in Terms of AR(1) Process Contaminated with Noise / Yuta Arai and Hiroshi Iyetomi.

• Moment Approach for Quantitative Evaluation of Randomness Based on RMT Formula / Mieko Tanaka-Yamawaki, Xin Yang and Ryota Itoi
• Network Security Evaluation Method via Attack Graphs and Fuzzy Cognitive Maps / Aodah Diamah, Masoud Mohammadian and Bala M. Balachandran
• On a Patent Analysis Method for Identifying Core Technologies / Chulhyun Kim and Hyeonju Seol
• Ontology-Based CRIS Design Using Three Stage Development Approach / Nan-Chen Hsieh, Huan-Chao Keh, Chien-Hui Chan and Szu-Ting Wang
• Revenue Sharing Contract in Dual Channel Supply Chain in Case of Free Riding / Liu Yezheng and Ding Zhengping
• Some Consideration of SIRMs Connected Fuzzy Inference Model with Functional Weights / Hirosato Seki and Tomoharu Nakashima
• Stepwise Benchmarking Path Selection in DEA / Jaehun Park, Hyerim Bae and Sungmook Lim
• The Automatic Two -- Step Vessel Lumen Segmentation Algorithm for Carotid Bifurcation Analysis during Perfusion Examination / Marek R. Ogiela and Tomasz Hachaj
• The Benefit of Cooperation between Retailers under Supply Uncertainties / Jing Hou and Youquan Sun
• Understanding Post-acceptance Usage Behaviors-An Ambidexterity View / Yumei Luo, Hong Ling, Chenghong Zhang and Zhengchuan Xu
• Voice Communication Aid with Personal Digital Assistant for Autistic Children / Ippei Torii, Kaoruko Ohtani, Nahoko Shirahama, Takahito Niwa and Naohiro Ishii.

The Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others. Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces, collaborative systems, intelligent web mining, e-commerce, e-learning, e-business, bioinformatics, evolvable systems, virtual humans, and designer drugs. This volume contains papers from the Fourth KES International Symposium on Intelligent Decision Technologies (KES IDT'12), hosted by researchers in Nagoya University and other institutions in Japan. This book contains chapters based on papers selected from a large number of submissions for consideration for the conference from the international community. The volume represents the current leading thought in intelligent decision technologies.

• A Decision Making for a Robot Based on Simple Interaction with Human / Hiroyuki Masuta, Yasuto Tamura and Hun-ok Lim
• A Fusion of Multiple Focuses on a Focus+Glue+Context Map / Hiroya Mizutani, Daisuke Yamamoto and Naohisa Takahashi
• A Map Matching Algorithm for Sharing Map Information among Refugees in Disaster Areas / Koichi Asakura, Masayoshi Takeuchi and Toyohide Watanabe
• A Method for Supporting Presentation Planning Based on Presentation Strategies / Koichi Hanaue and Toyohide Watanabe
• A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering / Katsuhiro Honda, Yui Matsumoto, Arina Kawano, Akira Notsu and Hidetomo Ichihashi
• A Traffic Flow Prediction Approach Based on Aggregated Information of Spatio-temporal Data Streams / Jun Feng, Zhonghua Zhu and Rongwei Xu
• A Way for Color Image Enhancement under Complex Luminance Conditions / Margarita Favorskaya and Andrey Pakhirka
• Animated Pronunciation Generated from Speech for Pronunciation Training / Yurie Iribe, Silasak Manosavan, Kouichi Katsurada and Tsuneo Nitta
• Building a Domain Ontology to Design a Decision Support Software to Plan Fight Actions against Marine Pollutions / Jean-Marc Mercantini and Colette Faucher
• Can Pictures Be a Candidate for Knowledge Media? / Fuminori Akiba
• Capturing Student Real Time Facial Expression for More Realistic E-learning Environment / Asanka D. Dharmawansa, Katsuko T. Nakahira and Yoshimi Fukumura.

• Character Giving Model of KANSEI Robot Based on the Tendency of User's Treatment for Personalization / Hiroki Ogasawara and Shohei Kato
• Checklist System Based on a Web for Qualities of Distance Learning and the Operation / Nobuyuki Ogawa, Hideyuki Kanematsu, Yoshimi Fukumura and Yasutaka Shimizu
• Comparison Analysis for Text Data by Integrating Two FACT-Graphs / Ryosuke Saga and Hiroshi Tsuji
• Construction of a Local Attraction Map According to Social Visual Attention / Ichiro Ide, Jiani Wang, Masafumi Noda, Tomokazu Takahashi and Daisuke Deguchi, et al.
• Construction of Content Recording and Delivery System for Intercollegiate Distance Lecture in a University Consortium / Takeshi Morishita, Kizuku Chino and Masaaki Niimura
• Data Embedding and Extraction Method for Printed Images by Log Polar Mapping / Kimitoshi Tamaki, Mitsuji Muneyasu and Yoshiko Hanada
• Design and Implementation of Computer Assisted Training System for Nursing Process Learning / Seiichiro Takami, Toshinobu Kawai, Takako Takeuchi, Yukiko Fukuda and Satoko Kamiya, et al.
• Designing Agents That Recognise and Respond to Players' Emotions / Weiqin Chen
• Development of Agent-Based Model for Simulation on Residential Mobility Affected by Downtown Regeneration Policy / Zhenjiang Shen, Yan Ma, Mitsuhiko Kawakami and Tatsuya Nishino
• Development of the Online Self-Placement Test Engine That Interactively Selects Texts for an Extensive Reading Test / Kosuke Adachi, Mark Brierley and Masaaki Niimura.

• DOSR: A Method of Domain-Oriented Semantic Retrieval in XML Data / Jun Feng, Zhixian Tang and Ruchun Huang
• Encoding Travel Traces by Using Road Networks and Routing Algorithms / Pablo Martinez Lerin, Daisuke Yamamoto and Naohisa Takahashi
• Estimation of Dialogue Moods Using the Utterance Intervals Features / Kaoru Toyoda, Yoshihiro Miyakoshi, Ryosuke Yamanishi and Shohei Kato
• Extraction of Vocational Aptitude from Operation Logs in Virtual Space / Kyohei Nishide, Tateaki Komaki, Fumiko Harada and Hiromitsu Shimakawa
• Framework of a System for Extracting Mathematical Concepts from Content MathML-Based Mathematical Expressions / Takayuki Watabe and Yoshinori Miyazaki
• Fundamental Functions of Dynamic Teaching Materials System / George Moroni Teixeira Batista, Mayu Urata and Takami Yasuda
• Generation Method of Multiple-Choice Cloze Exercises in Computer-Support for English-Grammar Learning / Ayse Saliha Sunar, Dai Inagi, Yuki Hayashi and Toyohide Watanabe
• Genetic Ensemble Biased ARTMAP Method of ECG-Based Emotion Classification / Chu Kiong Loo, Wei Shiung Liew and M. Shohel Sayeed
• Honey Bee Optimization Based on Mimicry of Threshold Regulation in Honey Bee Foraging / Maki Furukawa and Yasuhiro Suzuki
• IEC-Based 3D Model Retrieval System / Seiji Okajima and Yoshihiro Okada.

• Incremental Representation and Management of Recursive Types in Graph-Based Data Model for Content Representation of Multimedia Data / Teruhisa Hochin, Yuki Ohira and Hiroki Nomiya
• Intelligent Collage System / Margarita Favorskaya, Elena Yaroslavtzeva and Konstantin Levtin
• Intuitive Humanoid Robot Operating System Based on Recognition and Variation of Human Body Motion / Yuya Hirose and Shohei Kato
• Knowledge-Based System for Automatic 3D Building Generation from Building Footprint / Kenichi Sugihara, Xinxin Zhou and Takahiro Murase
• Locomotion Design of Artificial Creatures in Edutainment / Kyohei Toyoda, Takamichi Yuasa, Toshio Nakamura, Kentaro Onishi and Shunshuke Ozawa, et al.
• Multistep Search Algorithm for Sum k-Nearest Neighbor Queries on Remote Spatial Databases / Hideki Sato and Ryoichi Narita
• (Not)Myspace: Social Interaction as Detriment to Cognitive Processing and Aesthetic Experience in the Museum of Art / Matthew Pelowski
• Nuclear Energy Safety Project in Metaverse / Hideyuki Kanematsu, Toshiro Kobayashi, Nobuyuki Ogawa, Yoshimi Fukumura and Dana M. Barry, et al.
• Online Collaboration Support Tools for Blended Project-Based Learning on Embedded Software Development / -- Final Report -- / Takashi Yukawa, Tomonori Iwazaki, Keisuke Ishida, Yuji Nishigaki and Yoshimi Fukumura, et al.

• Online News Browsing over Interrelated Target Events / Yusuke Koyanagi and Toyohide Watanabe
• Path Planning in Probabilistic Environment by Bacterial Memetic Algorithm / János Botzheim, Yuichiro Toda and Naoyuki Kubota
• Personalization of News Speech Delivery Service Based on Transformation from Written Language to Spoken Language / Shigeki Matsubara and Yukiko Hayashi
• Personalized Text Formatting for E-mail Messages / Masaki Murata, Tomohiro Ohno and Shigeki Matsubara
• Presentation Story Estimation from Slides for Detecting Inappropriate Slide Structure / Tomoko Kojiri and Fumihiro Yamazoe
• Problem Based Learning for US and Japan Students in a Virtual Environment / Dana M. Barry, Hideyuki Kanematsu, Yoshimi Fukumura, Toshiro Kobayashi and Nobuyuki Ogawa, et al.
• Proposal of a Numerical Calculation Exercise System for SPI2 Test Based on Academic Ability Diagnosis / Shin'ichi Tsumori and Kazunori Nishino
• Proposal of an Automatic Composition Method of Piano Works for Novices Based on an Analysis of Study Items in Early Stages of Piano Education / Mio Iwaki, Hisayoshi Kunimune and Masaaki Niimura
• Proposal of MMI-API and Library for JavaScript / Kouichi Katsurada, Taiki Kikuchi, Yurie Iribe and Tsuneo Nitta
• Proposal of Teaching Material of Information Morals Education Based on Goal-Based Scenario Theory for Japanese High School Students / Kyoko Umeda, Ayako Shimoyama, Hironari Nozaki and Tetsuro Ejima.

• Prototypical Design of Learner Support Materials Based on the Analysis of Non-verbal Elements in Presentation / Kiyota Hashimoto and Kazuhiro Takeuchi
• Reflection Support for Constructing Meta-cognitive Skills by Focusing on Isomorphism between Internal Self-dialogue and Discussion Tasks / Risa Kurata, Kazuhisa Seta and Mitsuru Ikeda
• Skeleton Generation for Presentation Slides Based on Expression Styles / Yuanyuan Wang and Kazutoshi Sumiya
• Stochastic Applications for e-Learning System / Syouji Nakamura, Keiko Nakayama and Toshio Nakagawa
• Supporting Continued Communication with Social Networking Service in e-Learning / Kai Li and Yurie Iribe
• Tactile Score, a Knowledge Media of Tactile Sense for Creativity / Yasuhiro Suzuki, Junji Watanabe and Rieko Suzuki
• Taxi Demand Forecasting Based on Taxi Probe Data by Neural Network / Naoto Mukai and Naoto Yoden
• The Design of an Automatic Lecture Archiving System Offering Video Based on Teacher's Demands / Shin'nosuke Yamaguchi, Yoshimasa Ohnishi and Kazunori Nishino
• The Difference and Limitation of Cognition for Piano Playing Skill with Difference Educational Design / Katsuko T. Nakahira, Miki Akahane and Yukiko Fukami
• Topic Bridging by Identifying the Dynamics of the Spreading Topic Model / Makoto Sato, Mina Akaishi and Koichi Hori.

This volume contains the Proceedings of the 5th International Conference on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-12). The Conference was jointly organised by Nagoya University in Japan and the KES International organisation, and held in the attractive city of Gifu. The KES-IIMSS conference series, (series chairs Prof. Maria Virvou and Prof. George Tsihrintzis), presents novel research in various areas of intelligent multimedia system relevant to the development of a new generation of interactive, user-centric devices and systems. The aim of the conference is to provide an internationally respected forum for scientific research in the technologies and applications of this new and dynamic research area.

• Session A: Wind energy control
• Session B: Sustainable Building
• Session C: Microgrids with Hybrid Energy Systems and Control System
• Session D: Renewable Energy Technology
• Session E: Smart Building
• Session F: Assessment & Monitoring The Environmental Performnce Of Buildings
• Session G: Energy Resource Management
• Session H: People Tracking and Activity Recognition within Intelligent Buildings
• Session I: Performance of Wind energy
• Session J: Solar energy.

Annotation. Welcome to the proceedings of the Third International Conference on Sustainability in Energy and Buildings, SEB11, held in Marseilles in France, organised by the Laboratoire des Sciences del'Information et des Systèmes (LSIS) in Marseille, France in partnership with KES International. SEB'11 formed a welcome opportunity for researchers in subjects related to sustainability, renewable energy technology, and applications in the built environment to mix with other scientists, industrialists and stakeholders in the field. The conference featured presentations on a range of renewable energy and sustainability related topics. In addition the conference explored two innovative themes: the application of intelligent sensing, control, optimisation and modelling techniques to sustainability and the technology of sustainable buildings. These two themes combine synergetically to address issues relating to The Intelligent Building. SEB11 attracted a significant number of submissions from around the world. These were subjected to a two-stage blind peer-review process. With the objective of producing a high-quality conference, only the best 50 or so of these were selected for presentation at the conference and publication in the proceedings. It is hoped that you will find this volume an interesting, informative and useful resource for your research.

• Defeasible Planning through Multi-Agent Argumentation .-Operator behavior modelling in a submarine .-Automatic Wrapper Adaptation by Tree Edit Distance Matching
• Representing Temporal Knowledge in the Semantic Web: The Extended 4D Fluents Approach
• Combining a Multi-Document Update Summarization System -CBSEAS- with a Genetic Algorithm
• Extraction of Essential Events with Application to Damage Evaluation on Fuel Cells
• Detecting car accidents based on traffic flow measurements using machine learning techniques
• Next Generation Environments for Context-aware Learning Design
• Neurules-A Type of Neuro-Symbolic Rules: An Overview.

The combination of different intelligent methods is a very active research area in Artificial Intelligence (AI). The aim is to create integrated or hybrid methods that benefit from each of their components. Some of the existing efforts combine soft computing methods either among themselves or with more traditional AI methods such as logic and rules. Another stream of efforts integrates machine learning with soft-computing or traditional AI methods. Yet another integrates agent-based approaches with logic and also non-symbolic approaches. Some of the combinations have been quite important and more extensively used, like neuro-symbolic methods, neuro-fuzzy methods and methods combining rule-based and case-based reasoning. However, there are other combinations that are still under investigation, such as those related to the Semantic Web. The 2nd Workshop on?Combinations of Intelligent Methods and Applications? (CIMA 2010) was intended to become a forum for exchanging experience and ideas among researchers and practitioners who are dealing with combining intelligent methods either based on first principles or in the context of specific applications. CIMA 2010 was held in conjunction with the 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010). Also, a special track was organized in ICTAI 2010, under the same title. This volume includes revised versions of the papers presented in CIMA 2010 and one of the short papers presented in the corresponding ICTAI 2010 special track. It also includes a paper of the editors as invited.

• Session A. Value creation through knowledge processing : methodologies, approaches and case studies
• session B. Strategic and organisational approaches to knowledge transfer
• session C. Knowledge transfer models and frameworks
• session D. Knowledge transfer insights
• session E. Knowledge transfer partnership case studies
• session F. Innovation and enterprise
• session G. Knowledge transfer case studies
• session H. Knowledge transfer with the third and public sectors.

This volume represents the proceedings of the Second International Conference on Innovation through Knowledge Transfer, InnovationKT'2010, organised jointly by KES International and the Institute of Knowledge Transfer, and taking place in Coventry, UK on 7 & 8 December 2010. Featuring world-class invited speakers and contributions from a range of backgrounds and countries, the conference provided an excellent opportunity to disseminate, share and discuss the impact of university-business interaction through knowledge transfer in all its forms. There were two main motivations in initiating the In.

• From the content: Determining an Efficient Parts Layout for Assembly Cell Production by using GA and Virtual Factory System
• Virtual University
• A New Perspective
• Fuzzy preference based organizational performance measurement
• Software Testing
• Factor Contribution Analysis in a Decision Support Framework.

Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT'11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.

• Part I Building Sustainability.- Part II Sustainable Power Generation.- Part III Sustainable Energy Policy and Strategy.
• (source: Nielsen Book Data)

This volume represents the proceedings of the Second International Conference on Sustainability in Energy and Buildings, SEB'10, held in the City of Brighton and Hove in the United Kingdom, and organised by KES International. Organised by the KES International organisation, SEB'10 formed a welcome opportunity for researchers in subjects related to sustainability, renewable energy technology, and applications in the built environment to mix with other scientists, industrialists and stakeholders in the field. SEB'10 attracted papers on a range of renewable energy and sustainability related topics and in addition the conference explored two innovative themes:- * The application of intelligent sensing, control, optimisation and modelling techniques to sustainability and * The technology of sustainable buildings. These techniques could ultimately be applied to the intelligent building SEB'10 attracted about 100 submissions from around the world. These were subjected to a two-stage blind peer-review process. With the objective of producing a high quality conference, the best 30% of these were selected for presentation at the conference and publication in this volume of proceedings. The papers in this volume are grouped into the five themes under which they were presented: Building Sustainability, Sustainable Power Generation, Sustainable Energy Policy and Strategy, Energy Monitoring and Management and Solar Energy Technology. These proceedings form an interesting and informative collection of papers, useful as a resource for further research, and a valuable source of information for those interested in the subject.
(source: Nielsen Book Data)

• Keynote Papers
• Decision Making Theory
• Advances in Intelligent Decision Systems
• Intelligent Decision Technologies in Accounting and Finance
• Optimization-Based Intelligent Techniques in Image Processing
• E-commerce and Logistics Management
• Intelligent Spatial Decision Analysis
• Using Intelligent Systems for Decision Support in Health Systems
• Ontology-Based KMS and DMSS for Service Systems
• Service-Oriented Innovation for Designing Intelligent Environment
• Applying Intelligent Decision Technology
• Soft Data Analysis Based Fuzzy Systems, Control and Decision Making
• Kansei Communication and Value Creation in Human Mind
• Future Direction of Innovative Decision Technologies.

Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Second KES International Symposium on Intelligent Decision Technologies (KES IDT'10), hosted and organized by the Sellinger School of Business and Management, Loyola University Maryland, USA, in conjunction with KES International. The symposium was concerned with theory, design development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, Kansei communication, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery.

• Title; Foreword; Preface; Organisation; Invited Speakers; Contents; Perspectives on Knowledge Transfer; Knowledge Transfer Case Studies; Innovative Knowledge Transfer Techniques; Strategic and Organisational Approaches to Knowledge Transfer; Knowledge Transfer in the Arts and Community; Knowledge Transfer Methodology and Practice; Innovation and Enterprise; Author Index.

Knowledge transfer between universities, business and the community is a topical subject of increasing importance. The first International Conference on 'Innovation through Knowledge Transfer: Research with Impact', InnovationKT'09, held in Kingston, London, UK, provided a rare and welcome opportunity to share some of the successes of knowledge transfer. The conference attracted 150 delegates and featured 42 oral presentations. This volume, representing the proceedings of the conference, contains 35 papers based on selected conference presentations. The papers are divided into seven sections e.

• Adapting Spreading Activation Techniques towards a New Approach to Content-Based Recommender Systems
• A Framework for Automatic Detection of Abandoned Luggage in Airport Terminal
• Modeling Student's Knowledge on Programming Using Fuzzy Techniques
• Camera Angle Invariant Shape Recognition in Surveillance Systems
• Multicriteria-Based Decision for Services Discovery and Selection
• Building a Minimalistic Multimedia User Interface for Quadriplegic Patients
• Biofeedback-Based Brain Hemispheric Synchronizing Employing Man-Machine Interface
• Performance of Watermarking-Based DTD Algorithm under Time-Varying Echo Path Conditions
• Applying HTM-Based System to Recognize Object in Visual Attention
• Constant Bitrate Image Scrambling Method Using CAVLC in H.264
• Color Image Restoration Technique Using Gradient Edge Direction Detection
• Watermarking with the UPC and DWT
• Building a Novel Web Service Framework -Through a Case Study of Bioinformatics
• An Architecture for Collaborative Translational Research Utilizing the Honest Broker System
• Simulated Annealing in Finding Optimum Groups of Learners of UML
• A Smart Network Architecture for e-Health Applications
• A Music Recommender Based on Artificial Immune Systems
• The iCabiNET System: Building Standard Medication Records from the Networked Home
• Multi-agent Framework Based on Web Service in Medical Data Quality Improvement for e-Healthcare Information Systems
• Towards a Unified Data Management and Decision Support System for Health Care
• A Glove-Based Interface for 3D Medical Image Visualization
• Open Issues in IDS Design for Wireless Biomedical Sensor Networks
• Context-Aware Notifications: A Healthcare System for a Nursing Home
• Multimodality in Pervasive Environment
• Optimizing the Location Prediction of a Moving Patient to Prevent the Accident
• An MDE Parameterized Transformation for Adaptive User Interfaces
• Agent Based MPEG Query Format Middleware for Standardized Multimedia Retrieval
• Query Result Aggregation in Distributed Multimedia Databases
• Sensor-Aware Web interface.

This volume contains the Proceedings of the 3nd International Symposium on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS 2010). This third edition of the KES-IIMSS Symposium was jointly organized by the Department of Informatics of the University of Piraeus, Greece and the Department of Information Technologies of the University of Milan, Italy in conjunction KES International.