Art and Technology of Entertainment Computing and Communication takes a blue sky research perspective on the field of interactive media for entertainment computing. Adrian David Cheok argues that entertainment as an end-product is useful for interactive play, however it is also a powerful tool for learning and communication and it is also a key driver for the development of information technology. This book explores the future of entertainment technologies used for communication and describes quantum step research. It will inform and inspire readers to create their own radical inventions and innovations that are not incremental, but which break through ideas and non-obvious solutions. One of the main explorations is the examination of how new forms of computer interaction can lead to radical new forms of technology and art for entertainment computing. Art and Technology of Entertainment Computing and Communication is an informative and inspirational text for students and the next generation of researchers. It's main aim is to provide information that will hopefully help change the world and society for the better, through new modes of entertainment and communication. Academics, researchers, engineers, game designers, and interaction designers, will find the content both interesting and valuable. Entertainment is the "engine" to inspire people and drive innovation in interactive digital media design. The pioneer of the field, Prof. Adrian David Cheok, takes you on an exciting tour of the future shaped by the Entertainment Technologies. Hiroshi ISHII, Muriel R. Cooper Professor of Media Arts and Sciences, MIT Media Laboratory.

This two volume set (CCIS 623 and 634) constitutes the refereed proceedings of the Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, held in Harbin, China, in August 2016. The 91 revised full papers presented were carefully reviewed and selected from 338 submissions. The papers are organized in topical sections on Research Track (Part I) and Education Track, Industry Track, and Demo Track (Part II) and cover a wide range of topics related to social computing, social media, social network analysis, social modeling, social recommendation, machine learning, data mining.

The present book includes a set of selected extended papers from the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2015), held in Colmar, France, from 21 to 23 July 2015. The conference brought together researchers, engineers and practitioners interested in methodologies and applications of modeling and simulation. New and innovative solutions are reported in this book. SIMULTECH 2015 received 102 submissions, from 36 countries, in all continents. After a double blind paper review performed by the Program Committee, 19% were accepted as full papers and thus selected for oral presentation. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of SIMULTECH 2015. Commitment to high quality standards is a major concern of SIMULTECH that will be maintained in the next editions, considering not only the stringent paper acceptance ratios but also the quality of the program committee, keynote lectures, participation level and logistics.

This book constitutes the refereed proceedings of the seven workshops co-located with the 14th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2016, held in Sevilla, Spain, in June 2016.The 37 full papers presented were carefully reviewed and selected from 77 submissions. The volume presents the papers that have been accepted for the following workshops: Workshop on Agents and Multi-Agent Systems for AAL and e-Health; Workshop on Agent-Based Solutions for Manufacturing and Supply Chain; Workshop on MAS for Complex Networks and Social Computation; Workshop on Decision Making in Dynamic Information Environments; Workshop on Intelligent Systems for Context-based Information Fusion; Workshop on Multi-Agent based Applications for Smart Grids and Sustainable Energy Systems; Workshop on Multiagent System based Learning Environments.

This book constitutes the refereed proceedings of the Second Russian Supercomputing Days, RuSCDays 2016, held in Moscow, Russia, in September 2016. The 28 revised full papers presented were carefully reviewed and selected from 94 submissions. The papers are organized in topical sections on the present of supercomputing: large tasks solving experience; the future of supercomputing: new technologies.

Environmental Behaviour of Agrochemicals deals with a major area of concern regarding the use of agrochemicals - the potential for contamination of soil, air and water. This ninth volume in the Progress in Pesticide Biochemistry and Toxicology series, provides an international outlook on the impact of the production and use of agrochemicals on the environment, In Environmental Behaviour of Agrochemicals emphasis is placed on the methods for assessing the movement of pesticides into ground water from a variety of perspectives, and run-off of agrochemicals from soil into surface water. In addition to detailed accounts of recommended analytical methodologies for environmental samples, an in-depth overview is given of recent developments in the use of computer simulation models for assessing environmental fate. Coverage also includes the current status of biosensors for in vitro measurements for environmental analysis, volatization of agrochemicals and estimation of physico-chemical properties. Environmental Behaviour of Agrochemicals brings together contributions from internationally renowned experts to discuss a developing topic which is of vital importance to both producers and users of agrochemicals.

This book constitutes the refereed proceedings of the 6th International Conference on Supercomputing, ISUM 2015, held in Mexico, Mexico, in March 2015. The 38 revised full papers presented were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections on perspectives in supercomputer infrastructure and applications; parallel algorithms and optimization; HPC applications and simulations;

This book constitutes the refereed proceedings of the Third International Workshop on Management of Information, Process and Cooperation, MiPAC 2016, held in Hangzhou, China, in September 2016. The 8 revised full papers were carefully reviewed and selected from 14 submissions. The papers are organized in topical sections on process modeling, process enactment, and data driven service computing.

The work on Autonomic Road Transport Support (ARTS) presented here aims at meeting the challenge of engineering autonomic behavior in Intelligent Transportation Systems (ITS) by fusing research from the disciplines of traffic engineering and autonomic computing. Ideas and techniques from leading edge artificial intelligence research have been adapted for ITS over the last 30 years. Examples include adaptive control embedded in real time traffic control systems, heuristic algorithms (e.g. in SAT-NAV systems), image processing and computer vision (e.g. in automated surveillance interpretation). Autonomic computing which is inspired from the biological example of the body's autonomic nervous system is a more recent development. It allows for a more efficient management of heterogeneous distributed computing systems. In the area of computing, autonomic systems are endowed with a number of properties that are generally referred to as self-X properties, including self-configuration, self-healing, self-optimization, self-protection and more generally self-management. Some isolated examples of autonomic properties such as self-adaptation have found their way into ITS technology and have already proved beneficial. This edited volume provides a comprehensive introduction to Autonomic Road Transport Support (ARTS) and describes the development of ARTS systems. It starts out with the visions, opportunities and challenges, then presents the foundations of ARTS and the platforms and methods used and it closes with experiences from real-world applications and prototypes of emerging applications. This makes it suitable for researchers and practitioners in the fields of autonomic computing, traffic and transport management and engineering, AI, and software engineering. Graduate students will benefit from state-of-the-art description, the study of novel methods and the case studies provided.

This book constitutes the thoroughly refereed proceedings of the 10th International Joint Conference on Software Technologies, ICSOFT 2015, held in Colmar, France, in July 2015. The 23 revised full papers presented were carefully reviewed and selected from 117 submissions. The papers are organized around the following conference tracks: enterprise software technologies; software project management; software engineering methods and techniques; distributed and mobile software systems.

This book constitutes the refereed proceedings of the Second International Workshop on Process-Aware Systems, PAS 2015, held in Hangzhou, China, in October 2015. The four revised full papers and two short papers, presented together with five demo papers were carefully reviewed and selected from 16 submissions. The papers are organized in topical sections on process modeling and comparison; process data analysis; Cloud workflow applications.

This book covers the major problems of turbulence and turbulent processes, including physical phenomena, their modeling and their simulation. After a general introduction in Chapter 1 illustrating many aspects dealing with turbulent flows, averaged equations and kinetic energy budgets are provided in Chapter 2. The concept of turbulent viscosity as a closure of the Reynolds stress is also introduced. Wall-bounded flows are presented in Chapter 3 and aspects specific to boundary layers and channel or pipe flows are also pointed out. Free shear flows, namely free jets and wakes, are considered in Chapter 4. Chapter 5 deals with vortex dynamics. Homogeneous turbulence, isotropy and dynamics of isotropic turbulence are presented in Chapters 6 and 7. Turbulence is then described both in the physical space and in the wave number space. Time dependent numerical simulations are presented in Chapter 8, where an introduction to large eddy simulation is offered. The last three chapters of the book summarize remarkable digital techniques current and experimental. Many results are presented in a practical way, based on both experiments and numerical simulations. The book is written for a advanced engineering students as well as postgraduate engineers and researchers. For students, it contains the essential results as well as details and demonstrations whose oral transmission is often tedious. At a more advanced level, the text provides numerous references which allow readers to find quickly further study regarding their work and to acquire a deeper knowledge on topics of interest.

This book aims to cast light on all aspects of tunnel fires, based on experimental activities and theoretical and computational fluid dynamics (CFD) analyses. In particular, the authors describe a transient full-scale fire test (~15 MW), explaining how they designed and performed the experimental activity inside the Morgex North tunnel in Italy. The entire organization of the experiment is described, from preliminary evaluations to the solutions found for management of operational difficulties and safety issues. This fire test allowed the collection of different measurements (temperature, air velocity, smoke composition, pollutant species) useful for validating and improving CFD codes and for testing the real behavior of the tunnel and its safety systems during a diesel oil fire with a significant heat release rate. Finally, the fire dynamics are compared with empirical correlations, CFD simulations, and literature measurements obtained in other similar tunnel fire tests. This book will be of interest to all engineers and public officials who are concerned with the nature, prevention, and management of tunnel fires.

The master thesis of David Roos Launchbury deals with the implementation and validation of a numerical solver for incompressible large eddy simulation (LES) with heat transfer in OpenFOAM. Academic and industrial cases, ranging from flow between parallel plates to film cooling, are investigated utilising existing and newly-implemented turbulence models. Simulations using no turbulence models, i.e. under-resolved DNS (UDNS) simulations, are performed for comparison. Very good results are obtained in all cases with variations among the individual models, with the UDNS simulations performing surprisingly well. The study shows that the developed software is able to simulate complex cases reliably and accurately.

Session 1 includes 109 papers selected from 2011 3rd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2011), held on December 24-25, 2011, Shenzhen, China. This session will act as an international forum for researchers and practitioners interested in the advances in and applications of Intelligent Control Systems. It is an opportunity to present and observe the latest research, results, and ideas in these areas. Intelligent control is a rapidly developing, complex, and challenging field of increasing practical importance and still greater potential. Its applications have a solid core in robotics and mechatronics but branch out into areas as diverse as process control, automotive industry, medical equipment, renewable energy and air conditioning. So, this session will aim to strengthen relationships between industry, research laboratories and universities. All papers published in session 1 will be peer evaluated by at least two conference reviewers. Acceptance will be based primarily on originality and contribution.

The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co-operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models' structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.

Model-based Systems Architecting is a key tool for designing complex industrial systems. It is dedicated to the working systems architects, engineers and modelers, in order to help them master the complex integrated systems that they are dealing with in their day-to-day professional lives. It presents the CESAMES Systems Architecting Method (CESAM), a systems architecting and modeling framework which has been developed since 2003 in close interaction with many leading industrial companies, providing rigorous and unambiguous semantics for all classical systems architecture concepts. This approach is practically robust and easy-to-use: during the last decade, it was deployed in more than 2,000 real system development projects within the industry, and distributed to around 10,000 engineers around the globe.

This book introduces a novel approach to the design and operation of large ICT systems. It views the technical solutions and their stakeholders as complex adaptive systems and argues that traditional risk analyses cannot predict all future incidents with major impacts. To avoid unacceptable events, it is necessary to establish and operate anti-fragile ICT systems that limit the impact of all incidents, and which learn from small-impact incidents how to function increasingly well in changing environments. The book applies four design principles and one operational principle to achieve anti-fragility for different classes of incidents. It discusses how systems can achieve high availability, prevent malware epidemics, and detect anomalies. Analyses of Netflix's media streaming solution, Norwegian telecom infrastructures, e-government platforms, and Numenta's anomaly detection software show that cloud computing is essential to achieving anti-fragility for classes of events with negative impacts.

This book constitutes the refereed proceedings of the 18th International Conference on Distributed and Computer and Communication Networks, DCCN 2015, held in Moscow, Russia, in October 2015. The 38 revised full papers presented were carefully reviewed and selected from 94 submissions. The papers cover the following topics: computer and communication networks architecture optimization; control in computer and communication networks; performance and QoS evaluation in wireless networks; modeling and simulation of network protocols; queuing and reliability theory; wireless IEEE 802.11, IEEE 802.15, IEEE 802.16, and UMTS (LTE) networks; FRID technology and its application in intellectual transportation networks; protocols design (MAC, Routing) for centimeter and millimeter wave mesh networks; internet and web applications and services; application integration in distributed information systems; big data in communication networks.

This concise book shows you how experiential learning can be used to overcome the challenges posed in applying and delivering information technology (IT) to your business needs through an innovative, game-based approach. Technology innovations and evolving business models are part of a rapid change that is forcing corporate and management professionals to learn, deploy, and adopt IT in new ways in order to maintain a competitive advantage. Many are doing this through experiential learning. You'll begin by reviewing the basics of experiential learning and its relevance to IT, followed by six chapters that apply the hands-on concept through various scenarios. Make IT Through Experiential Learning one of your valued resources today. What You'll Learn: Innovative and proven IT-related application scenarios Generic management and leadership skill development Guidance for applying the learning methods for generating extraordinary results over conventional methods Who This Book Is For: IT professionals, higher education students, and those engaged in training and organizational development.

This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications. It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM. In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of 'recipes' ready to be implemented. Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years. In ABM, a system is modeled as a collection of autonomous decision-making entities called "agents." Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent-for example, producing, consuming, or selling. ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth. This is the first volume in a series of books that aims to contribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling.

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Agents and Artificial Intelligence, ICAART 2015, held in Lisbon, Portugal, in January 2015.The 18 revised full papers presented in this book were carefully reviewed and selected from 187 submissions. The papers are organized in two topical sections on agents and on artificial intelligence and focus on multi-agent systems and software platforms; distributed problem solving and distributed AI in general; knowledge representation; planning; learning; scheduling; perception; reactive AI systems; and evolutionary computing.

This monograph provides comprehensive guidelines on the current and future trends of innovative simulation systems. In particular, their important components, such as augmented reality and unmanned vehicles are presented. The book consists of three parts. Each part presents good practices, new methods, concepts of systems and new algorithms. Presented challenges and solutions are the results of research and conducted by the contributing authors. The book describes and evaluates the current state of knowledge in the field of innovative simulation systems. Throughout the chapters there are presented current issues and concepts of systems, technology, equipment, tools, research challenges and current, past and future applications of simulation systems. The book is addressed to a wide audience: academic staff, representatives of research institutions, employees of companies and government agencies as well as students and graduates of technical universities in the country and abroad. The book can be a valuable source of information for constructors and developers of innovative simulation systems and their components. Scientists and researchers involved in mechanics, control algorithms, image processing, computer vision or data fusion can find many valuable suggestions and solutions.

This book constitutes thoroughly revised and selected papers from the Second International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014, held in Lisbon, Portugal, in January 2014. The 10 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 88 submissions. They are organized in topical sections named: invited papers; modeling languages, tools and architectures; and methodologies, processes and platforms.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This nineteenth issue contains 11 carefully selected and revised contributions.