Sabtu, 09 April 2016

1Bookcase - 15 books ready for downloading


1Bookcase - 15 books ready for downloading

Link to 1Bookcase

Ear Biometrics in 2D and 3D

Posted: 09 Apr 2016 02:25 AM PDT

Springer.Ear.Biometrics.in.2D.and.3D

Ear Biometrics in 2D and 3D: Localization and Recognition.

This book presents the state-of-the-art techniques and recent research progress on Ear Biometrics. Among the various physiological traits, the reasons for the ear to gain much attention in recent years are many folds. It has been found to be a reliable biometrics for human verification and identification. Ears are remarkably consistent and unlike face, it does not change shape with different expressions or age, and remain fixed in the middle of the side of the head against a predictable background. The book contains figures, tables and plots to illustrate the techniques in an easy and lucid manner. The book also provides an extensive literature on the subject, where readers have the benefit of receiving all the relevant material at one place in a very comprehensive manner. This book caters students, academics, researchers, practitioners who are interested in the field of Ear Biometrics and its applications in face recognition and security.

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Thinking Ahead

Posted: 09 Apr 2016 02:21 AM PDT

Springer.Thinking.Ahead

Thinking Ahead: Essays on Big Data, Digital Revolution, and Participatory Market Society.

The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures. Humans are on the verge of evolving from consumers to prosumers, and old, entrenched theories – in particular sociological and economic ones – are falling prey to these rapid developments. The original assumptions on which they are based are being questioned. Each year we produce as much data as in the entire human history – can we possibly create a global crystal ball to predict our future and to optimally govern our world? Do we need wide-scale surveillance to understand and manage the increasingly complex systems we are constructing, or would bottom-up approaches such as self-regulating systems be a better solution to creating a more innovative, more successful, more resilient, and ultimately happier society? Working at the interface of complexity theory, quantitative sociology and Big Data-driven risk and knowledge management, the author advocates the establishment of new participatory systems in our digital society to enhance coordination, reduce conflict and, above all, reduce the "tragedies of the commons," resulting from the methods now used in political, economic and management decision-making.

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Pattern and Security Requirements

Posted: 09 Apr 2016 02:18 AM PDT

Springer.Pattern.and.Security.Requirements

Pattern and Security Requirements: Engineering-Based Establishment of Security Standards.

Security threats are a significant problem for information technology companies today. This book focuses on how to mitigate these threats by using security standards and provides ways to address associated problems faced by engineers caused by ambiguities in the standards. The security standards are analysed, fundamental concepts of the security standards presented, and the relations to the elementary concepts of security requirements engineering (SRE) methods explored. Using this knowledge, engineers can build customised methods that support the establishment of security standards.

Standards such as Common Criteria or ISO 27001 are explored and several extensions are provided to well-known SRE methods such as Si*, CORAS, and UML4PF to support the establishment of these security standards. Through careful analysis of the activities demanded by the standards, for example the activities to establish an Information Security Management System (ISMS) in compliance with the ISO 27001 standard, methods are proposed which incorporate existing security requirement approaches and patterns.

Understanding Pattern and Security Requirements engineering methods is important for software engineers, security analysts and other professionals that are tasked with establishing a security standard, as well as researchers who aim to investigate the problems with establishing security standards. The examples and explanations in this book are designed to be understandable by all these readers.

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Multimedia Data Mining and Analytics

Posted: 09 Apr 2016 02:15 AM PDT

Springer.Multimedia.Data.Mining.and.Analytics

Multimedia Data Mining and Analytics: Disruptive Innovation.

This authoritative text/reference provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors.

Presenting a detailed exploration into the progression of the field, the book describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications.

Topics and features:

  • Contains contributions from an international selection of pre-eminent authorities in the field
  • Reviews how disruptive innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining
  • Provides practical details on implementing the technology for solving real-world multimedia problems
  • Includes chapters devoted to privacy issues in multimedia social environments, and large-scale biometric data processing
  • Covers content and concept based multimedia search, and advanced algorithms for multimedia data representation, processing and visualization

The illuminating viewpoints presented in this comprehensive volume will be of great interest to researchers and graduate students involved in machine learning and pattern recognition, as well as to professional multimedia analysts and software developers.

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Protecting Privacy in Data Release

Posted: 09 Apr 2016 02:10 AM PDT

Springer.Protecting.Privacy.in.Data.Release

Protecting Privacy in Data Release.

This book presents a comprehensive approach to protecting sensitive information when large data collections are released by their owners. It addresses three key requirements of data privacy: the protection of data explicitly released, the protection of information not explicitly released but potentially vulnerable due to a release of other data, and the enforcement of owner-defined access restrictions to the released data. It is also the first book with a complete examination of how to enforce dynamic read and write access authorizations on released data, applicable to the emerging data outsourcing and cloud computing situations. Private companies, public organizations and final users are releasing, sharing, and disseminating their data to take reciprocal advantage of the great benefits of making their data available to others. This book weighs these benefits against the potential privacy risks. A detailed analysis of recent techniques for privacy protection in data release and case studies illustrate crucial scenarios. Protecting Privacy in Data Release targets researchers, professionals and government employees working in security and privacy. Advanced-level students in computer science and electrical engineering will also find this book useful as a secondary text or reference.

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Fifty Years of Fuzzy Logic and its Applications

Posted: 09 Apr 2016 02:06 AM PDT

Springer.Fifty.Years.of.Fuzzy.Logic.and.its.Applications.3319196820

Fifty Years of Fuzzy Logic and its Applications.

This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh's seminal paper on "fuzzy sets," published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh's paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years' anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.

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Analyzing Financial Data and Implementing Financial Models Using R

Posted: 08 Apr 2016 04:47 AM PDT

Springer.Analyzing.Financial.Data.and.Implementing.Financial.Models.Using.R.3319140744.

Analyzing Financial Data and Implementing Financial Models Using R.

This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis.

This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student.

Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.

The post Analyzing Financial Data and Implementing Financial Models Using R appeared first on 1Bookcase.

Project Management Handbook

Posted: 08 Apr 2016 04:43 AM PDT

Springer.Project.Management.Handbook.366245372X

Project Management Handbook.

This practical handbook offers a comprehensive guide to efficient project management. It pursues a broad, well-structured approach, suitable for most projects, and allows newcomers, experienced project managers and decision-makers to find valuable input that matches their specific needs. The Project Management Compass guides readers through various sections of the book; templates and checklists offer additional support. The handbook's innovative structure combines concepts from systems engineering, management psychology, and process dynamics. This international edition will allow to share the authors’ experience gained in many years of project work and over 2,000 project management and leadership seminars conducted for BWI Management Education in Zurich, Switzerland.

This is an excellent handbook for practical project management in today's world.

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Cyber Security

Posted: 08 Apr 2016 04:31 AM PDT

Springer.Cyber.Security.Analytics.Technology.and.Automation.331918301X

Cyber Security: Analytics, Technology and Automation.

Over the last two decades, the Internet and more broadly cyberspace has had a tremendous impact on all parts of society. Governments across the world have started to develop cyber security strategies and to consider cyberspace as an increasingly important international issue. The book, in addition to the cyber threats and technology, processes cyber security from many sides as a social phenomenon and how the implementation of the cyber security strategy is carried out.

The book gives a profound idea of the most spoken phenomenon of this time. The book is suitable for a wide-ranging audience from graduate to professionals/practitioners and researchers. Relevant disciplines for the book are  Telecommunications / Network security, Applied mathematics / Data analysis, Mobile systems / Security, Engineering / Security of critical infrastructure and Military science / Security.

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More Math Into LaTeX, 4th Edition

Posted: 08 Apr 2016 04:28 AM PDT

Springer.More.Math.Into.LaTeX.4th.Edition.0387322892

More Math Into LaTeX, 4th Edition.

This new edition of Math Into Latex continues to be the standard introduction and complete reference for writing articles and books containing math formulas. In this fully revised fourth edition, the focus is on important updates in latex for articles and books as well as detailed  information on creating transparencies and computer projections, both for the classroom and professional meetings.

The text maintains its user-friendly, example-based visual approach, gently easing readers into the secrets of latex with The Short Course.  Basic ideas through sample articles and documents are introduced. Key features include a visual guide and detailed presentation of multiline math formulas, instructions on installing Latex on the Mac and PC, and instructions on preparing books for publishers.

Key features of More Math into Latex, 4th edition:

  • Installation instructions for PC and Mac users
  • An example-based, visual approach and a gentle introduction with the Short Course
  • A detailed exposition of multiline math formulas with a Visual Guide
  • A unified approach to Tex, Latex, and the AMS enhancements
  • A quick introduction to creating presentations with computer projections

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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Posted: 08 Apr 2016 04:24 AM PDT

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization.

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject.

  • The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems.
  • The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks.
  • The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition.
  • The fourth part contains papers describing new nature-inspired optimization algorithms.
  • The fifth part presents diverse applications of nature-inspired optimization algorithms.
  • The sixth part contains papers describing new optimization algorithms.
  • The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition.
  • Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

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Granular Computing and Decision-Making

Posted: 08 Apr 2016 04:21 AM PDT

Springer.Granular.Computing.and.Decision-Making.Interactive.and.Iterative.Approaches.3319168282

Granular Computing and Decision-Making: Interactive and Iterative Approaches.

This volume is devoted to interactive and iterative processes of decision-making– I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent manner. Human-centric interaction is of paramount relevance as a leading guiding design principle of decision support systems.

The volume provides the reader with an updated and in-depth material on the conceptually appealing and practically sound methodology and practice of I2 Fuzzy Decision Making. The book engages a wealth of methods of fuzzy sets and Granular Computing, brings new concepts, architectures and practice of fuzzy decision-making providing the reader with various application studies.

The book is aimed at a broad audience of researchers and practitioners in numerous disciplines in which decision-making processes play a pivotal role and serve as a vehicle to produce solutions to existing problems. Those involved in operations research, management, various branches of engineering, social sciences, logistics, and economics will benefit from the exposure to the subject matter. The book may serve as a useful and timely reference material for graduate students and senior undergraduate students in courses on decision-making, Computational Intelligence, operations research, pattern recognition, risk management, and knowledge-based systems

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Smart Learning Objects for Smart Education in Computer Science

Posted: 08 Apr 2016 04:19 AM PDT

Springer.Smart.Learning.Objects.for.Smart.Education.in.Computer.Science.3319169122

Smart Learning Objects for Smart Education in Computer Science: Theory, Methodology and Robot-Based Implementation.

This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the latest research on the meta-programming-based generative learning objects (the latter with advanced features are treated as SLOs) and the use of educational robots in teaching CS topics. The introduced methodology includes the overall processes to develop SLO and smart educational environment (SEE) and integrates both into the real education setting to provide teaching in CS using constructivist and project-based approaches along with evaluation of pedagogic outcomes.

Smart Learning Objects for Smart Education in Computer Science will appeal to researchers in CS education particularly those interested in using robots in teaching, course designers and educational software and tools developers. With research and exercise questions at the end of each chapter students studying CS related courses will find this work informative and valuable too.

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Guide to DataFlow Supercomputing

Posted: 08 Apr 2016 04:16 AM PDT

Springer.Guide.to.DataFlow.Supercomputing.Basic.Concepts.Case.Studies.and.a.Detailed.Example.3319162284

Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example.

This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc.

Topics and features:

  • Presents a thorough introduction to DataFlow supercomputing for big data problems
  • Reviews the latest research on the DataFlow architecture and its applications
  • Introduces a new method for the rapid handling of real-world challenges involving large datasets
  • Provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine
  • Includes a step-by-step guide to the web-based integrated development environment WebIDE
  • Draws from the authors' extensive experience in both academic teaching and industrial research

Students, lecturers, and researchers in industry will find this concise book to be an ideal supplementary text for courses and seminars on VLSI, multi-core systems, and DataFlow computing.

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Big Data: A Primer

Posted: 08 Apr 2016 04:14 AM PDT

Springer.Big.Data.A.Primer.8132224930

Big Data: A Primer.

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from  the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

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