The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications. Topics Covered The many academic areas covered in this publication include, but are not limited to: Anomaly Detection Co-Occurrence Data Modeling Consumer Feedback Customer Satisfaction and Retention Network Accessibility Social Networks Traffic Data

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.

The book describes an approach to the multi-agent systems (MAS) design for applications of robotic soccer in the MiroSot category. The described MAS is designed for dynamic, quickly changing environments, in which not only the actions of our MAS are observed, but also those of the opposing MAS. It actively tries to affect the environment to score goals faster than the opposing MAS. Multi-agent systems (MAS) are mostly applied in the environments in which they exist and act without an opposing system. The book also describes strategies based on a supervisor that makes decisions depending on behavior prediction of the opposing MAS and the ball movement in the working place. A sophisticated distribution of tasks was designed for each agent to cooperate in order score goals as fast as possible. Simultaneously, these agents try, by permitted means, to prevent the enemy agents from scoring goals. The approach described is an excellent guide to the constantly evolving abilities of mobile robotics, both for real-world applications, such as cooperation of multiple robots in life-saving activities, and for the steadily developing applications of mobile robots in various robotic competitions (e.g. Robocup, etc.). The book provides readers with high-level knowledge on how to design strategies and how to implement such systems, and the ideas presented enable them to further refine the approach utilizing the latest hardware and use it in new systems implementations of sophisticated intelligent engineering.

This book presents selected research papers from CISC'17, held in MudanJiang, China. The topics covered include Multi-agent system, Evolutionary Computation, Artificial Intelligence, Complex systems, Computation intelligence and soft computing, Intelligent control, Advanced control technology, Robotics and applications, Intelligent information processing, Iterative learning control, Machine Learning, and etc. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

Interval Finite Element Method with MATLAB provides a thorough introduction to an effective way of investigating problems involving uncertainty using computational modeling. The well-known and versatile Finite Element Method (FEM) is combined with the concept of interval uncertainties to develop the Interval Finite Element Method (IFEM). An interval or stochastic environment in parameters and variables is used in place of crisp ones to make the governing equations interval, thereby allowing modeling of the problem. The concept of interval uncertainties is systematically explained. Several examples are explored with IFEM using MATLAB on topics like spring mass, bar, truss and frame.

As colour imaging takes on increasing importance in a range of products and technologies, colour fidelity across different media has become essential.

This book has arisen from the need for a specialist text that brings together key developments in colour management technology and findings from the colour engineering research community.

Edited by highly regarded specialists in colour management systems, Colour Engineering introduces the reader systematically to the art of constistent quality of image reproduction - regardless of the monitor or graphic user interface employed.

Features:

• a thorough review of the elements of colour science that apply to colour imaging.

• a comprehensive analysis of methods for characterizing devices in the colour imaging chain.

• a review of the key topics in colour management.

• the different approaches to implementing colour systems at some of the leading exponents in the imaging industry.

This book conceptualises and develops crowdsourcing as an organisational business process. It argues that although for many organisations crowdsourcing still implies an immature one-off endeavour, when developed to a more repeatable business process it can harness innovation and agility. The book offers a process model to guide organisations towards the establishment of business process crowdsourcing (BPC), and empirically showcases and evaluates the model using two current major crowdsourcing projects. In order to consolidate the domain knowledge, the BPC model is turned into a heavyweight ontology capturing the concepts, hierarchical relationships and decision-making relationships necessary to establish crowdsourcing as a business process in an organisation. Lastly, based on the ontology it presents a decision tool that provides advice on making informed decisions about the performance of business process crowdsourcing activities.

The genre of the video clip has been established for more than thirty years, mainly served by the sub genres of video art and music video. This book explores processes of hybridization between music video, film, and video art by presenting current theoretical discourses and engaging them through interviews with well-known artists and directors, bringing to the surface the crucial questions of art practice. The collection discusses topics including postcolonialism, posthumanism, gender, race and class and addresses questions regarding the hybrid media structure of video, the diffusion between content and form, art and commerce as well as pop culture and counterculture. Through the diversity of the areas and interviews included, the book builds on and moves beyond earlier aesthetics-driven perspectives on music video.

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science.
This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

This book explores the emerging concept of cultural DNA, considering its application across different fields and examining commonalities in approach. It approaches the subject from four different perspectives, in which the topics include theories, analysis and synthesis of cultural DNA artefacts. After an opening section which reviews theoretical work on cultural DNA research, the second section discusses analysis & synthesis of cultural DNA at the urban scale. Section three covers analysis & synthesis of cultural DNA artefacts, and the final section offers approaches to grammar-based cultural DNA research. The book places emphasis on two specific axes: one is the scale of the object under discussion, which ranges from the small (handheld artefacts) to the very large (cities); and the other is the methodology used from analysis to synthesis. This diverse approach with detailed information about grammar-based methodologies toward cultural DNA makes the book unique. This book will serve as a source of inspiration for designers and researchers trying to find the essence, archetype, and the building blocks of our environment for the incorporation of social and cultural factors into their designs.

The ability to communicate with anyone at anytime, anywhere, necessitates a need to provide reliable, resilient, and sustainable applications to support the evolving uses of mobile technologies. Movement-Aware Applications for Sustainable Mobility: Technologies and Approaches focuses on the use of location sensing technology and its wider applicability in supporting sustainable mobility, and presents current research on developing innovative approaches for gathering, representing, storing and analyzing movement data sets being generated from location sensing technology. Offering a unique opportunity for learning about how different techniques are being used to develop new movement-aware applications, this reference work gives students, researchers and practitioners the opportunity to acquire new concepts in the production, awareness and use of sensors, data, and information products for supporting sustainable mobility.

This book of conference proceedings contains papers presented at the Art and Design International Conference (AnDIC 2016). It examines the impact of Cyberology, also known as Internet Science, on the world of art and design. It looks at how the rapid growth of Cyberology and the creation of various applications and devices have influenced human relationships. The book discusses the impact of Cyberology on the behaviour, attitudes and perceptions of users, including the way they work and communicate. With a strong focus on how the Cyberology world influences and changes the methods and works of artists, this book features topics that are relevant to four key players - artists, intermediaries, policy makers, and the audience - in a cultural system, especially in the world of art and design. It examines the development, problems and issues of traditional cultural values, identity and new trends in contemporary art. Most importantly, the book attempts to discuss the past, present and future of art and design whilst looking at some underlying issues that need to be addressed collectively.

Recent years have witnessed giant leaps in the strength of database technologies, creating a new level of capability to develop advanced applications that add value at unprecedented levels in all areas of information management and utilization. Parallel to this evolution is a need in the academia and industry for authoritative references to the research in this area, to establish a comprehensive knowledge base that will enable the information technology and managerial communities to realize maximum benefits from these innovations. Advanced Principles for Improving Database Design, Systems Modeling, and Software Development presents cutting-edge research and analysis of the most recent advancements in the fields of database systems and software development. This book provides academicians, researchers, and database practitioners with an exhaustive collection of studies that, together, represent the state of knowledge in the field.

This book highlights practical solutions for flight safety improvement techniques, which are currently the focus of the International Civil Aviation Organization (ICAO). It has become clear that, in order to rapidly and significantly improve flight safety, the integrated use of new aeronautical technologies is called for. Considering the size of the aviation fleet, its constant growth and the long service lives of aircraft, new technologies should be adapted both to cutting-edge air navigation systems and to those that have been used for over a decade. Concretely, the book discusses methodological approaches to the construction of ground and on-board avionics that make it possible to achieve improved flight safety using innovative new methods. The proposed approaches are illustrated with real-world examples of e.g. satellite-based navigation systems and enhanced ground proximity warning systems. The book is written for professionals involved in the development of avionics systems, as well as students, researchers and experts in the field of radiolocation, radio navigation and air traffic control, the book will support the development and modeling of radio technical complexes, as well as the analysis of complex radio technical systems.

This book concisely presents a broad range of models and theories on social systems. Because of the huge spectrum of topics involving social systems, various issues related to Mathematics, Statistics, Teaching, Social Science, and Economics are discussed. In an effort to introduce the subject to a wider audience, this volume, part of the series "Studies in Systems, Decision and Control", equally addresses the needs of mathematicians, statisticians, sociologists and philosophers. The studies examined here are divided into four parts. The first part, "Perusing the Minds Behind Scientific Discoveries", traces the winding path of Syamal K. Sen and Ravi P. Agarwal's scholarship throughout history, and most importantly, the thought processes that allowed each of them to master their subject. The second part covers "Theories in Social Systems" and the third discusses "Models in Social Systems", while the fourth and final part is dedicated to "Mathematical Methods in the Social Sciences". Given its breadth of coverage, the book will offer inquisitive readers a valuable point of departure for exploring these rich, vast, and ever-expanding fields of knowledge.

This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master's students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.

This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing must be adopted, particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly. The authors provide insights into future architectures/capabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning. It discusses at length the notion of human/AI communication and collaboration and explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling. Explores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systems; Provides insight into the world of cognitive architectures and biologically-based computing designs which will mimic human brain functionality in artificial intelligent systems of the future; Provides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolving; Explores artificial reasoning and inference architectures and the types of modeling and testing that will be required to "trust" an autonomous artificial intelligent systems.

The modeling of healthcare components and systems in order to develop a complete understanding of component interactions is one of the more challenging simulation and modeling problems for software agent systems. ""Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement"" provides relevant theoretical frameworks and the latest empirical research findings used by medical professionals in the implementation of multi-agent systems. This ""Premier Reference Source"" disseminates understanding on the strategic role of systems modeling in healthcare, a valuable resource to academicians, researchers, and field practitioners.