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Computational Analysis of Sound Scenes and Events

by Tuomas Virtanen Mark D. Plumbley Dan Ellis

This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms.

Computational Science/Intelligence and Applied Informatics (Studies in Computational Intelligence #726)

by Roger Lee

This book presents the scientific outcome of the 4th ACIS International Conference on Computational Science/Intelligence & Applied Informatics (CSII 2017), which was held on July 9-13, 2017 in Hamamatsu, Japan. 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, to share their experiences and to exchange new ideas and information in a meaningful way. The book includes research findings concerning all aspects (theory, applications and tools) of computer and information science, and discusses the practical challenges encountered and the solutions adopted to address them. The book features 16 of the conference's most promising papers, written by researchers who are expected to make significant contributions in the field of computer and information science.

Advances in Cryptology – CRYPTO 2017: 37th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 20–24, 2017, Proceedings, Part I (Lecture Notes in Computer Science #10401)

by Jonathan Katz Hovav Shacham

The three volume-set, LNCS 10401, LNCS 10402, and LNCS 10403, constitutes the refereed proceedings of the 37th Annual International Cryptology Conference, CRYPTO 2017, held in Santa Barbara, CA, USA, in August 2017. The 72 revised full papers presented were carefully reviewed and selected from 311 submissions. The papers are organized in the following topical sections: functional encryption; foundations; two-party computation; bitcoin; multiparty computation; award papers; obfuscation; conditional disclosure of secrets; OT and ORAM; quantum; hash functions; lattices; signatures; block ciphers; authenticated encryption; public-key encryption, stream ciphers, lattice crypto; leakage and subversion; symmetric-key crypto, and real-world crypto.

Compact Representations for the Design of Quantum Logic (SpringerBriefs in Physics)

by Robert Wille Philipp Niemann

This book discusses modern approaches and challenges of computer-aided design (CAD) of quantum circuits with a view to providing compact representations of quantum functionality. Focusing on the issue of quantum functionality, it presents Quantum Multiple-Valued Decision Diagrams (QMDDs - a means of compactly and efficiently representing and manipulating quantum logic. For future quantum computers, going well beyond the size of present-day prototypes, the manual design of quantum circuits that realize a given (quantum) functionality on these devices is no longer an option. In order to keep up with the technological advances, methods need to be provided which, similar to the design and synthesis of conventional circuits, automatically generate a circuit description of the desired functionality. To this end, an efficient representation of the desired quantum functionality is of the essence. While straightforward representations are restricted due to their (exponentially) large matrix descriptions and other decision diagram-like structures for quantum logic suffer from not comprehensively supporting typical characteristics, QMDDs employ a decomposition scheme that more naturally models quantum systems. As a result, QMDDs explicitly support quantum-mechanical effects like phase shifts and are able to take more advantage of corresponding redundancies, thereby allowing a very compact representation of relevant quantum functionality composed of dozens of qubits. This provides the basis for the development of sophisticated design methods as shown for quantum circuit synthesis and verification.

Advances in Soft Computing and Machine Learning in Image Processing (Studies in Computational Intelligence #730)

by Aboul Ella Hassanien Diego Alberto Oliva

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceedings of the Thirteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, August, 12-15, 2017, Matsue, Shimane, Japan, Part I (Smart Innovation, Systems and Technologies #81)

by Junzo Watada Lakhmi C. Jain Jeng-Shyang Pan Pei-Wei Tsai

This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology, Chaoyang University of Technology, Taiwan Association for Web Intelligence Consortium, Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology), and Harbin Institute of Technology Shenzhen Graduate School. IIH-MSP 2016 is held in 21-23, November, 2016 in Kaohsiung, Taiwan. The conference is an international forum for the researchers and professionals in all areas of information hiding and multimedia signal processing.

Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceedings of the Thirteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, August, 12-15, 2017, Matsue, Shimane, Japan, Part II (Smart Innovation, Systems and Technologies #82)

by Junzo Watada Lakhmi C. Jain Jeng-Shyang Pan Pei-Wei Tsai

This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology, Chaoyang University of Technology, Taiwan Association for Web Intelligence Consortium, Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology), and Harbin Institute of Technology Shenzhen Graduate School. IIH-MSP 2016 is held in 21-23, November, 2016 in Kaohsiung, Taiwan. The conference is an international forum for the researchers and professionals in all areas of information hiding and multimedia signal processing.

Collaboration and Technology: 23rd International Conference, CRIWG 2017, Saskatoon, SK, Canada, August 9-11, 2017, Proceedings (Lecture Notes in Computer Science #10391)

by Julita Vassileva Sergio F. Ochoa Tomoo Inoue Carl Gutwin

It was approximately two decades ago that the support of communication and collaboration became an important research issue. The technical stimulation for this was the spread of personal computers and computer networks, whilst the social driver was the demand for the support of everyday work, frequently including group work and teamwork. This field of research has become known as Computer-Supported Cooperative Work whilst the systems to support group work are called groupware. Over the two decades, research has been extensively conducted. Various Web-based systems have been researched, some of which are aimed at the support of communication and collaboration. Mobile phones have spread rapidly and communication and collaboration support systems have also been researched on this platform. There are many other technologies such as virtual reality, robotics, multimedia, and ubiquitous computing, each of which provides opportunities for the research field. As the research field is not dependent on the type of technology, but is dependent on the needs of human activity and human beings are social animals, the technical demands of supporting social activities do not diminish. Technologies that potentially are useful for this purpose are being investigated whilst new technologies are invented. As a result of the development of IT, the research and development of communication and collaboration systems is increasingly active. The scope of this publication extends from perspectives, design principles, guidelines, and social aspects of communication and collaboration support systems to the various application systems and the platform technologies.

An Introduction to Machine Learning

by Miroslav Kubat

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of "boosting," how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.

Big Data and Visual Analytics

by Sang C. Suh Thomas Anthony

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.

Algebraic Geometry for Coding Theory and Cryptography: IPAM, Los Angeles, CA, February 2016 (Association for Women in Mathematics Series #9)

by Everett W. Howe Kristin E. Lauter Judy L. Walker

Covering topics in algebraic geometry, coding theory, and cryptography, this volume presents interdisciplinary group research completed for the February 2016 conference at the Institute for Pure and Applied Mathematics (IPAM) in cooperation with the Association for Women in Mathematics (AWM). The conference gathered research communities across disciplines to share ideas and problems in their fields and formed small research groups made up of graduate students, postdoctoral researchers, junior faculty, and group leaders who designed and led the projects. Peer reviewed and revised, each of this volume's five papers achieves the conference's goal of using algebraic geometry to address a problem in either coding theory or cryptography. Proposed variants of the McEliece cryptosystem based on different constructions of codes, constructions of locally recoverable codes from algebraic curves and surfaces, and algebraic approaches to the multicast network coding problem are only some of the topics covered in this volume. Researchers and graduate-level students interested in the interactions between algebraic geometry and both coding theory and cryptography will find this volume valuable.

Analysis and Simulation of Electrical and Computer Systems (Lecture Notes in Electrical Engineering #452)

by Damian Mazur Marek Gołębiowski Mariusz Korkosz

This book addresses selected topics in electrical engineering, electronics and mechatronics that have posed serious challenges for both the scientific and engineering communities in recent years. The topics covered range from mathematical models of electrical and electronic components and systems, to simulation tools implemented for their analysis and further developments; and from multidisciplinary optimization, signal processing methods and numerical results, to control and diagnostic techniques. By bridging theory and practice in the modeling, design and optimization of electrical, electromechanical and electronic systems, and by adopting a multidisciplinary perspective, the book provides researchers and practitioners with timely and extensive information on the state of the art in the field - and a source of new, exciting ideas for further developments and collaborations.

Antenna Fundamentals for Legacy Mobile Applications and Beyond

by Jonathan Rodriguez Issa Elfergani Abubakar Sadiq Hussaini Raed Abd-Alhameed

This book highlights technology trends and challenges that trace the evolution of antenna design, starting from 3rd generation phones and moving towards the latest release of LTE-A. The authors explore how the simple monopole and whip antenna from the GSM years have evolved towards what we have today, an antenna design that is compact, multi-band in nature and caters to multiple elements on the same patch to provide high throughput connectivity. The scope of the book targets a broad range of subjects, including the microstrip antenna, PIFA antenna, and the monopole antenna to be used for different applications over three different mobile generations. Beyond that, the authors take a step into the future and look at antenna requirements for 5G communications, which already has the 5G drive in place with prominent scenarios and use-cases emerging. They examine these, and put in place the challenges that lie ahead for antenna design, particularly in mm-Wave design. The book provides a reference for practicing engineers and under/post graduate students working in this field.

Compact Extended Linear Programming Models (EURO Advanced Tutorials on Operational Research)

by Giuseppe Lancia Paolo Serafini

This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models. Compact extended formulations are equally powerful, but polynomially-sized, models whose solutions do not require the implementation of separation and pricing procedures. The book is written in a general, didactic, form first developing the background theoretical concepts (polyhedra, projections, linear and integer programming) and then delving into the various techniques for compact extended reformulations. The techniques are illustrated through a wealth of examples touching on many application areas, such as classical combinatorial optimization, network design, timetabling, scheduling, routing, computational biology and bioinformatics. The book is intended for graduate or PhD students - either as an advanced course on selected topics or within a more general course on ILP and Mathematical Programming - as well as for practitioners and software engineers in industry looking at techniques for developing optimization models for their specific problems.

Augmented Reality and Virtual Reality: Empowering Human, Place and Business (Progress in IS)

by Timothy Jung M. Claudia tom Dieck

This volume provides the latest outcomes of augmented reality (AR) and virtual reality (VR) research conducted in various industries. It reveals how AR and VR are currently changing the business landscape, and how new innovations provide opportunities for businesses to offer their customers unique services and experiences. Collecting the proceedings of the International AR & VR Conference held in Manchester, UK, in February 2017, the book advances the state of the art in AR and VR technologies and their applications in various industries such as tourism, hospitality, events, fashion, entertainment, retail, education and the gaming industry. The papers presented here cover the most significant topics within the field of AR and VR for both researchers and practitioners, approaching them from a business and management perspective.

Applied Computing & Information Technology (Studies in Computational Intelligence #727)

by Roger Lee

This edited book presents scientific results of the 4th International Conference on Applied Computing and Information Technology (ACIT 2016) which was held on December 12-14, 2016 in Las Vegas, USA. 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 aim of this conference was also to bring out the research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the Program Committee, and underwent further rigorous rounds of review. This book captures 11 of the conference's most promising papers, and the readers impatiently await the important contributions that they know these authors are going to bring to the field of computer and information science.

Advances in Modeling and Simulation: Seminal Research from 50 Years of Winter Simulation Conferences (Simulation Foundations, Methods and Applications)

by Andreas Tolk John Fowler Guodong Shao Enver Yücesan

​This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of preeminent authorities and exciting developments from promising young researchers in the field. Celebrating the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating recent advances in the field of system simulation, the book showcases the historical importance of this influential conference while also looking forward to a bright future for the simulation community. Topics and features: examines the challenge of constructing valid and efficient models, emphasizing the benefits of the process of simulation modeling; discusses model calibration, input model risk, and approaches to validating emergent behaviors in large-scale complex systems with non-linear interactions; reviews the evolution of simulation languages, and the history of the Time Warp algorithm; offers a focus on the design and analysis of simulation experiments under various goals, and describes how data can be "farmed" to support decision making; provides a comprehensive overview of Bayesian belief models for simulation-based decision making, and introduces a model for ranking and selection in cloud computing; highlights how input model uncertainty impacts simulation optimization, and proposes an approach to quantify and control the impact of input model risk; surveys the applications of simulation in semiconductor manufacturing, in social and behavioral modeling, and in military planning and training; presents data analysis on the publications from the Winter Simulation Conference, offering a big-data perspective on the significant impact of the conference. This informative and inspiring volume will appeal to all academics and professionals interested in computational and mathematical modeling and simulation, as well as to graduate students on the path to form the next generation of WSC pioneers.

Advances in Information and Computer Security: 12th International Workshop on Security, IWSEC 2017, Hiroshima, Japan, August 30 – September 1, 2017, Proceedings (Lecture Notes in Computer Science #10418)

by Satoshi Obana Koji Chida

This book constitutes the refereed proceedings of the 12th International Workshop on Security, IWSEC 2017, held in Hiroshima, Japan, in August/September 2017. The 11 regular papers and 3 short papers presented in this volume were carefully reviewed and selected from 37 submissions. They were organized in topical sections named: post-quantum cryptography; system security; public key cryptosystems; cryptanalysis; and cryptographic protocols.

Brain-Computer Interface Research: A State-of-the-Art Summary 6 (SpringerBriefs in Electrical and Computer Engineering #6)

by Brendan Allison Christoph Guger Mikhail Lebedev

Brain-computer interfaces (BCIs) are rapidly developing into a mainstream, worldwide research endeavor. With so many new groups and projects, it can be difficult to identify the best ones. This book summarizes ten leading projects from around the world. About 60 submissions were received in 2011 for the highly competitive BCI Research Award, and an international jury selected the top ten. This Brief gives a concise but carefully illustrated and fully up-to-date description of each of these projects, together with an introduction and concluding chapter by the editors.

Cyber Racism and Community Resilience: Strategies for Combating Online Race Hate (Palgrave Hate Studies)

by Karen Connelly Andrew Jakubowicz Kevin Dunn Gail Mason Yin Paradies Ana-Maria Bliuc Nasya Bahfen Andre Oboler Rosalie Atie

This book highlights cyber racism as an ever growing contemporary phenomenon. Its scope and impact reveals how the internet has escaped national governments, while its expansion is fuelling the spread of non-state actors. In response, the authors address the central question of this topic: What is to be done? Cyber Racism and Community Resilience demonstrates how the social sciences can be marshalled to delineate, comprehend and address the issues raised by a global epidemic of hateful acts against race. Authored by an inter-disciplinary team of researchers based in Australia, this book presents original data that reflects upon the lived, complex and often painful reality of race relations on the internet. It engages with the various ways, from the regulatory to the role of social activist, which can be deployed to minimise the harm often felt. This book will be of particular interest to students and academics in the fields of cybercrime, media sociology and cyber racism.

Advanced Solutions in Diagnostics and Fault Tolerant Control (Advances in Intelligent Systems and Computing #635)

by Jan M. Kościelny Michał Syfert Anna Sztyber

This book highlights the latest achievements concerning the theory, methods and practice of fault diagnostics, fault tolerant systems and cyber safety. When considering the diagnostics of industrial processes and systems, increasingly important safety issues cannot be ignored. In this context, diagnostics plays a crucial role as a primary measure of the improvement of the overall system safety integrity level. Obtaining the desired diagnostic coverage or providing an appropriate level of inviolability of the integrity of a system is now practically inconceivable without the use of fault detection and isolation methods. Given the breadth and depth of its coverage, the book will be of interest to researchers faced with the challenge of designing technical and medical diagnosis systems, as well as junior researchers and students in the fields of automatic control, robotics, computer science and artificial intelligence.

Constructive Side-Channel Analysis and Secure Design: 8th International Workshop, COSADE 2017, Paris, France, April 13-14, 2017, Revised Selected Papers (Lecture Notes in Computer Science #10348)

by Sylvain Guilley

This book constitutes revised selected papers from the 8th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2017, held in Paris, France, in April 2017. The 17 papers presented in this volume were carefully reviewed and selected from numerous submissions. They were organized in topical sections named: Side-Channel Attacks and Technological Effects; Side-Channel Countermeasures; Algorithmic Aspects in Side-Channel Attacks; Side-Channel Attacks; Fault Attacks; Embedded Security; and Side-Channel Tools.

Algorithms and Programs of Dynamic Mixture Estimation: Unified Approach to Different Types of Components (SpringerBriefs in Statistics)

by Ivan Nagy Evgenia Suzdaleva

This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics. It offers the recursive estimation of dynamic mixtures, which are free of iterative processes and close to analytical solutions as much as possible. In addition, these methods can be used online and simultaneously perform learning, which improves their efficiency during estimation. The book includes detailed program codes for solving the presented theoretical tasks. Codes are implemented in the open source platform for engineering computations. The program codes given serve to illustrate the theory and demonstrate the work of the included algorithms.

Advanced Technologies in Practical Applications for National Security (Studies in Systems, Decision and Control #106)

by Aleksander Nawrat Karol Jędrasiak Damian Bereska

This book presents advanced technologies used in practice to enable early recognition and tracking of various threats to national security. It discusses practical applications, examples and recent challenges in the application fields using sophisticated sensory devices, embedded designs and airborne and ground unmanned vehicles. Undeniably rapid advances in the development of sophisticated sensory devices, significant increases of computing power available to embedded designs and the development of airborne and ground unmanned vehicles offer almost unlimited possibilities for fighting various types of pathologies affecting our societies. The book provides scientists, researchers, engineers and graduate students involved in computer vision, image processing, data fusion, control algorithms, mechanics, data mining, navigation and integrated circuit (IC) with numerous valuable, useful and practical suggestions and solutions.

Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I (Lecture Notes in Computer Science #10424)

by Michael Felsberg Anders Heyden Norbert Krüger

The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017. The 72 papers presented were carefully reviewed and selected from 144 submissions The papers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; Segmentation; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions.

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Showing 19,176 through 19,200 of 53,390 results