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Summary: Citizen Media and Public Spaces presents a pioneering exploration of citizen media as a highly interdisciplinary domain that raises vital political, social and ethical issues relating to conceptions of citizenship and state boundaries, the construction of publics and social imaginaries, processes of co-optation and reverse co-optation, power and resistance, the ethics of witnessing and solidarity, and novel responses to the democratic deficit. Framed by a substantial introduction by the editors, the twelve contributions to the volume interrogate the concept of citizen media theoretically and empirically, and offer detailed case studies that extend from the UK to Russia and Bulgaria and from China to Denmark and the liminal spaces within which a growing number of refugees now live.

Summary: Introduction: the impact of blogging on the BBC's coverage of war and terrorism The "war and terror" blogosphere. Blogs: "rumour, prejudice and gossip" or "standard" BBC source? Reporting conflict from news needles in digital haystacks Information overload, the 24/7 news cycle and the turn to twitter "Outside the BBC universe"? blogging at the BBC "Can you teach granddad how to dance"? involving the audience on BBC programme blogs "Live blogging" terror: the BBC's coverage of the attacks on Mumbai Reporting conflict: war in Gaza and the limits of the news revolution Conclusion: the two faces of Janus: the future of journalism.

Summary: The Routledge Companion to Alternative and Community Media provides an authoritative and comprehensive examination of the diverse forms, practices and philosophies of alternative and community media across the world. The volume offers a multiplicity of perspectives to examine the reasons why alternative and community media arise, how they develop in particular ways and in particular places, and how they can enrich our understanding of the broader media landscape and its place in society. The 50 chapters present a range of theoretical and methodological positions, and arguments to demonstrate

Summary: 40 Puzzles and Problems in Probability and Mathematical Statistics is intended to teach the reader to think probabilistically by solving challenging, non-standard probability problems. The motivation for this clearly written collection lies in the belief that challenging problems help to develop, and to sharpen, our probabilistic intuition much better than plain-style deductions from abstract concepts. The selected problems fall into two broad categories. Problems related to probability theory come first, followed by problems related to the application of probability to the field of mathematical statistics. All problems seek to convey a non-standard aspect or an approach which is not immediately obvious. The word puzzles in the title refers to questions in which some qualitative, non-technical insight is most important. Ideally, puzzles can teach a productive new way of framing or representing a given situation. Although the border between the two is not always clearly defined, problems tend to require a more systematic application of formal tools, and to stress more technical aspects. Thus, a major aim of the present collection is to bridge the gap between introductory texts and rigorous state-of-the-art books. Anyone with a basic knowledge of probability, calculus and statistics will benefit from this book; however, many of the problems collected require little more than elementary probability and straight logical reasoning. To assist anyone using this book for self-study, the author has included very detailed step-for-step solutions of all problems and also short hints which point the reader in the appropriate direction."--Publisher's website.

Summary: Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk - and answer - tough questions of your data with robust statistical models, built for a range of datasetsWho This Book Is ForIf you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning - whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.What You Will LearnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Pylearn 2 and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataIn DetailMachine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data - its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Pylearn2, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.Style and approachPython Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

Summary: The entire range of elementary and advanced topics in digital signal processing is covered comprehensively in this text, from filter design and spectrum analysis to digital hardware implementation and speech and radar processing. Chapters are devoted to the theory of discrete-time linear systems, theory and approximation of finite duration impulse response digital filters, finite word length effects in digital filters, spectrum analysis and the Fast Fourier Transform. It provides global introduction to the theory of Two-Dimensional Signal Processing, Digital Hardware, Special Purpose Hardware for the FFT, General Purpose Hardware for Signal Processing Facilities, Applications of Digital Signal Processing to Speech as well as Applications to Radar. The book is appropriate for advanced courses in electrical engineering and for practising engineers.

Summary: The advancement of technology, its uses and how they influence on people have generated a great impact on today's society. This book intends to expand our knowledge on the subject and better understand the current state of the art in this field. It is something we have to be aware of, since it is increasingly present in our lives. We must understand the new technologies in order to use them correctly and optimize them in the future. The problem that certain jobs can be replaced by machines, generates a change in the way of human thinking and doing, which must adopt these technologies and trained to use them. In this book, the changes to the world caused by the use of Artificial Intelligence and Machine Learning are investigated. It investigates the impact of the use of artificial intelligence in everyday life, emphasizing technologies such as Artificial Intelligence, Machine Learning and Deep Learning. In recent years, advances in these areas have influenced considerably the technology as we know it, are opening doors to new possibilities that once seemed unimaginable.

Summary: For more than 1500 years, from the Indian subcontinent to the islands of the Indonesian archipelago, the temple has embodied and symbolized the Hindu worldview at its deepest level and inspired the greatest architectural and artistic achievements in Hindu Asia. In The Hindu Temple, considered the standard introduction to the subject, George Michell explains the cultural, religious, and architectural significance of the temple. He illustrates his points with a profusion of photographs, building plans, and drawings of architectural details, making the book a useful guide for travelers to Asia as well as an illuminating text for students of architecture, religion, and Asian civilizations. Michell's discussion of the meaning and forms of the temple in Hindu society encompasses the awe-inspiring rock-cut temples at Ellora and Elephanta, the soaring superstructures and extraordinary sexual exhibitionism of the sculptures at Khajuraho, and the colossal mortuary temple of Angkor Vat, as well as the tiny iconic shrines that many Hindus wear around their necks and the simple shrines found under trees or near ponds.

Summary: Offers concise advice on major issues involved in the effective management of expert systems. Features include managing human elements, success factors, organized structure, expert systems and business strategies and integration of expert systems into the organization.

Summary: This edited book presents the scientific outcomes of the 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2018), which was held in Busan, Korea on June 27–29, 2018. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The book includes research findings on all aspects (theory, applications and tools) of computer and information science and discusses the practical challenges encountered along the way and the solutions adopted to respond to them. The book includes 13 of the conference’s most promising papers.

Summary: A collection of six essays, each on a prominent Hindu temple in Tamil Nadu; namely, Kanchipuram, Tiruvannamalai, Chidambaram, Srisangam, Madurai, and Mylapore (Madra). Each temple is discussed in terms of history, rituals, festivals, urban context, and architecture

Summary: The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language that leads to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed to indicate ways to improve the development of AI in specific fields of science. A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine.

Summary: Information technology constantly changes and quickly becomes obsolete. The methodology of planning and implementing a health care information system, however, is more constant. Through practical, step-by-step guidelines, the author demonstrates how to establish the strategy and architecture against which vendor and system decisions must be made. Both management and technical perspectives are discussed. Thus, regardless of the technology used, the health care administrator and systems manager learn to implement information systems successfully and to link those systems with business strategy to achieve higher quality and more cost-effective patient care.

Summary: A collection of edited talks presented at the Marquette University By- Line Award ceremonies from 1946 to 1994, plus biographies of all of the recipients of the award. Topics of speeches include Catholic education's negative attitude toward the journalism profession, newspaper marketing, the Pulitzer Prize, Black journalists, and journalists in the information age. No index. Annotation copyright by Book News, Inc., Portland, OR.

Summary: Robotics is an umbrella discipline which brings together several different engineering domains such as mechanical engineering, electrical engineering and computer engineering, as well as computer systems for their control, sensory feedback, and information processing. Robotics is a dynamic field, as technological advances continue; building new robots serves diverse practical purposes, both domestically and commercially. Assembly robots, welding robots, combat robots are some of the popular categories of robots in the current times. This book provides a holistic overview of robotics by discussing its components, behaviour, cognition and applications. It brings forth contributions of experts and scientists which will provide innovative insights into this field. Students, researchers, experts, engineers and all associated with robotics will benefit alike from this book.

Summary: A new world has arrived in which computer and communications technologies will transform the national and global economies into information-driven economies. This work provides a futuristic view of the birth, vision and architecture of the major components of this new global world.

Summary: "The Oxford English Dictionary (OED), like its abridged version, the Shorter Oxford English Dictionary, is written on historical principles and traces the development of each word's meaning and form from its first appearance in English. Oxford's other English dictionaries, following the style of the ground-breaking New Oxford Dictionary of English (1998), present words according to their use and frequency in modern English."--Jacket.

Summary: Beginning with an exposition of the four most widely argued theories of the press, this book goes on to explore several critical perspectives on the tasks and roles of print and broadcast news media in the United States.

Summary: Human-computer interaction (HCI) is the study of human-computer interaction through interfaces. Such an interaction is analogous to human-to-human interaction. Graphical user interfaces and multi-modal interfaces enable humans to engage with embodied character agents. The techniques of operating systems, computer graphics, programming languages and developing environments are vital to this field. Human-machine interfaces, if poorly designed can lead to systems failure and accidents. Research in HCI is focused on the improvement in the usability of human-computer interfaces for improved interaction. Further, emphasis is placed on the development of design methodologies, prototyping of software and hardware systems, experimentation with devices, exploration of interaction paradigms, etc. The three areas of personal information management (PIM), computer-supported cooperative work (CSCW) and human interaction management (HIM) have significant overlap with HCI. While PIM studies the way people use and acquire personal information to complete tasks, CSCW focuses on the use of computing systems for collaborative work. HIM extends the scope of CSCW to the level of organizations. Human-computer interaction is an upcoming field of technology that has undergone rapid development over the past few decades. This book will help the readers in keeping pace with the rapid changes in this field.

Summary: "In Good News, Bad News, Jeremy Iggers argues that journalism's institutionalized conversation about ethics largely evades the most important issues regarding the public interest and the civic responsibilities of the press. Changes in the ownership and organization of the news media make these issues especially timely; although journalism's ethics rest on the idea of journalism as a profession, the rise of market-driven journalism has undermined journalists' professional status. Ultimately, argues Iggers, journalism is impossible without a public that cares about the common life. Written in an accessible style, Good News, Bad News is important reading for journalists, communication scholars, and students. }Public dissatisfaction with the news media frequently gives rise to calls for journalists to live up to the ethical standards of their profession. But what if the fault lies in part with the standards themselves? Jeremy Iggers argues that journalisms institutionalized conversation about ethics largely evades the most important issues regarding the public interest and the civic responsibilities of the press. Changes in the ownership and organization of the news media make these issues especially timely; although journalisms ethics rest on the idea of journalism as a profession, the rise of market-driven journalism has undermined journalists professional status.Ultimately, argues Iggers, journalism is impossible without a public that cares about the common life. A more meaningful approach to journalism ethics must begin with a consideration of the role of the news media in a democratic society and proceed to look for practical ways in which journalism can contribute to the vitality of public life.Written in an accessible style, Good News, Bad News is important reading for journalists, communication scholars, and students. }"--Provided by publisher.

Summary: Artificial intelligence is one of the most important sub-fields of computer science in the present scenario. It refers to the study of intelligence that machines exhibit. It can be any kind of understanding and problem solving properties similar to the human brain. Artificial intelligence research includes topics like perception, reasoning, planning, natural language processing (communication) and learning. This book presents the complex subject of artificial intelligence in the most comprehensible and easy to understand language. While understanding the long-term perspectives of the topics, the book makes an effort in highlighting their impact as a modern tool for the growth of the discipline. The topics covered in this extensive text deal with the core subjects of the area. Those in search of information to further their knowledge will be greatly assisted by this textbook.