New Series Universitat Politécnica de Catalunya, …...Computational Finance An Introductory Course...

News 4/2014 Computer Science

51

M. M. Alani, Middle-East College, Muscat, Oman

Guide to OSI and TCP/IP ModelsThis work opens with an accessible introduction to computer networks, providing general defini-tions of commonly used terms in networking. This is followed by a detailed description of the OSI model, including the concepts of connection-oriented and connectionless communications. The text carefully elaborates the specific functions of each layer, along with what is expected of pro-tocols operating at each layer. Next, the journey of a single packet, from source to destination, is described in detail. The final chapter is devoted to the TCP/IP model, beginning with a discussion of IP protocols and the supporting ARP, RARP and In ARP protocols. The work also discusses the TCP and UDP protocols operating at the transport layer and the application layer protocols HTTP, DNS, FTP, TFTP, SMTP, POP3 and Telnet. Important facts and definitions are highlighted in gray boxes found throughout the text.

Features 7 Provides a simplified introduction to computer networks 7 Requires no prior background in the field 7 Discusses the fundamentals of the network, transport and application layers

Contents What are Computer Networks?.- OSI Model.- TCP/IP Model.

Fields of interestComputer Communication Networks; Informa-tion Systems Applications (incl.Internet); Input/Output and Data Communications

Target groupsResearch

Discount groupProfessional Non-Medical

Available

2014. X, 50 p. 18 illus. (SpringerBriefs in Computer Science) Softcover7 $54.99ISBN 978-3-319-05151-2

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New SeriesAtlantis Studies in Computational Finance and Financial EngineeringSeries editor: A. Arratia

This book series aims at publishing textbooks aimed at the advanced undergraduate and graduate levels as well as monographs within the fields of Computational Finance and Financial Engineering.

A. Arratia, Universitat Politécnica de Catalunya, Barcelona, Spain

Computational FinanceAn Introductory Course with R

The book covers a wide range of topics, yet essen-tial, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R.

Features 7 Teaches how to use the statistical tools and methods available in the free software R, for pro-cessing and analyzing real financial data 7 Nu-merous step-by-step examples of programming in R will teach the reader how to build forecast-ing models of price and volatility (e.g. ARMA, GARCH, machine learning models such as neural networks and support vector machines); cluster-ing of financial time series; do all type of option valuation with Monte Carlo simulations; construct technical analysis indicators, fundamental analysis of business, and portfolio management 7 Pro-vides an easy-to-read review of the basic principles of finance, and an introduction to the basic tools of professional investors (Technical and Funda-mental Analysis), hence making it partly acces-sible to a general audience (with mathematical and business inclinations) 7 Reviews the most fundamental optimization heuristics in finance, and some of the approximation algorithms for online portfolio selection that should motivate computer science students to research in Compu-tational Finance

Fields of interestSimulation and Modeling; Statistics for Business/Economics/Mathematical Finance/Insurance; Quantitative Finance

Target groupsGraduate


Due May 2014

2014. Approx. 315 p. 43 illus., 26 in color. (Atlantis Studies in Computational Finance and Financial Engineering, Volume 1) Hardcover7 $79.99ISBN 978-94-6239-069-0

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www.springer.com/978-3-319-05151-2


Computer Science springer.com/NEWSonline

52

A. Aldini, A. Bogliolo, University of Urbino, Urbino, Italy (Eds)

User-Centric NetworkingFuture Perspectives

Contents Part I: User-Centric Environments.- User-Centric Networking: Bringing the Home Network to the Core.- User-Centric Networking: Living-Examples and Challenges Ahead.- User-Centric Network-ing: Routing Aspects.- Part II: Trust Management and Cooperation Incentives.- Trust Management Support for Context-Aware Service Platforms.- Trust Management in ULOOP.- Designing a Trust-Based Virtual Currency System for User-Centric Networks: the ULOOP Case.- Part III: Resource Management in User-Centric Environ-ments.- Cooperative Networking in User-Centric Wireless Networks.- Trust as a Fairness Parameter for Quality of Experience in Wireless Networks.- Cooperative Relaying in User-Centric Wireless Networks.- Resource Allocation in User-Centric Wireless Networks.- Autonomous Resource Allocation and Strategy Optimization in Wire-less Networks.- An Autonomous Load Balanc-ing Framework for UCN.- Part IV: Mobility in User-Centric Environments.- Mobility Support in User-Centric Networks.- Mobility Estimation in the Context of Distributed Mobility Management; R. Sofia et al.- Mobility Management in ULOOP.- Part V: Market Perspective.- Market Analysis and Exploitation.- ULOOP Business Case Study.

Fields of interestComputer Systems Organization and Communi-cation Networks; Complexity; R & D/Technology Policy



Due May 2014

2014. 300 p. 40 illus. (Lecture Notes in Social Networks) Hardcover7 $109.00ISBN 978-3-319-05217-5

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S. Basu, N. Kumar, Banaras Hindu University, Varanasi, India (Eds)

Modelling and Simulation of Diffusive ProcessesMethods and Applications

Contents Diffusive Processes and Modeling.- Diffusion and Transport of Molecules in Living Cells.- Modeling the Diffusion and Transport of Suspended Sedi-ment in Open Channels, Using Two-Phase Flow Theory.- Mathematical Modeling of Peristaltic Pumping of Nano-Fluids.- Numerical Study on Isotachophoretic Separation of Ionic Samples in Microfluidics.- Thermal Characterization of Non-Homogeneous Media.- Scale Dependent Porous Dispersion Resulting from the Cumulative Effects of Velocity Fluctuations.- Modeling Nitrogen Fate and Transport at the Sediment-Water Interface.- Modeling Groundwater Flow in Unconfined Aqui-fers.- Two-Dimensional Solute Transport from a Varying Pulse-Type Point Source.- The Problem of Futile Cycles in Metabolic Flux Modeling.- Contaminant Concentration Prediction Along Unsteady Groundwater Flow.- Wavelet-Multigrid Method for Solving Modified Reynolds Equation Modeling Synovial Fluid Flow in a Normal Hu-man Knee Joint.- A Basic Concept on Modeling Soil Organic Carbon.- Crop Growth Simulation Modeling.

Fields of interestSimulation and Modeling; Math Applications in Computer Science; Mathematical Applications in Computer Science



Due May 2014

2014. I, 334 p. 84 illus., 26 in color. (Simulation Foundations, Methods and Applications) Hardcover7 $129.00ISBN 978-3-319-05656-2

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M. Becker, Universität Bremen, Bremen, Germany

Services in Wireless Sensor NetworksModelling and Optimisation for the Efficient Discovery of Services

In recent years, originally static and single purpose Wireless Sensor Networks have moved towards applications that need support for mobility and multiple purposes. These heterogeneous applica-tions and services demand for a framework which distributes and discovers the various services, so that other pieces of equipment can use them. Markus Becker studies, extends, analytically mod-els, simulates and employs the so called Trickle algorithm in measurements in a Wireless Sensor Network test bed for the service distribution. The obtained results apply to the application of the Trickle algorithm at lower protocol layers, e.g. for routing, as well. Given application delay require-ments, the author derives the realizable distances and number of nodes for two network topologies from the 95 percentiles obtained by simulation.

Feature 7 Publication in the field of technical sciences

Contents Wireless Sensor Networks.- Service Distribu-tion.- Trickle Algorithm.- Simulation, Analytical Modelling and Measurements.

Fields of interestComputer Systems Organization and Communi-cation Networks; Electrical Engineering; Informa-tion Systems and Communication Service



Due April 2014

2014. XXVIII, 180 p. 99 illus., 7 in color. (Advanced Studies Mobile Research Center Bremen) Softcover7 $89.99ISBN 978-3-658-05401-4

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53

F. Can, Bilkent University, Bilkent, Turkey; T. Özyer, TOBB University, Sogutozu Ankara, Turkey; F. Polat, Middle East Technical University, Ankara, Turkey (Eds)

State of the Art Applications of Social Network AnalysisContents A Randomized Approach for Structural and Mes-sage based Private Friend Recommendation in Online Social Networks.- Context Based Semantic Relations in Tweets.- Fast exact and approximate computation of betweenness centrality in social networks.- Network Simulation.- Early Stage Con-versation Catalysts on Entertainment-Based Web Forums.- Predicting Users Behaviours in Distrib-uted Social Networks Using Community Analy-sis.- What should we protect? Defining differential privacy for social network analysis.- Complex Network Analysis of Research Funding: A Case Study of NSF Grants.- Community Evolutionary Events in Online Social Networks.- @Rank: Per-sonalized Centrality Measure for Email Commu-nication Networks.- Twitter Sentiment Analysis: How To Hedge Your Bets In The Stock Markets.- The Impact of Measurement Time on Subgroup Detection in Online Communities.- Spatial and Temporal Evaluation of Network-Based Analy-sis of Human Mobility.- An Ant based Particle Swarm Optimization Algorithm for Maximum Clique Problem in Social networks.- XEngine: An XML Search Engine for Social Groups.- Size, diversity and components in the network around an entrepreneur: Shaped by culture and shaping embeddedness of firm relations.- Content Mining of Microblogs.

Fields of interestData Mining and Knowledge Discovery; Compu-tational Intelligence; Complex Networks



Due June 2014

2014. 300 p. 68 illus. in color. (Lecture Notes in Social Networks) Hardcover7 approx. $129.00ISBN 978-3-319-05911-2

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K. David, K. Geihs, J. M. Leimeister, A. Roßnagel, L. Schmidt, G. Stumme, A. Wacker, University of Kassel, Kassel, Germany (Eds)

Socio-technical Design of Ubiquitous Computing SystemsFeatures 7 Presents a comprehensive blueprint for sys-tematic, interdisciplinary software development for ubiquitous computing systems 7 Uniquely combines findings from computer science, infor-mation systems, human-computer interaction and law 7 Takes into account technical, legal, and social aspects of system development

Contents Part I Introduction.- A Research Agenda for the Socio-Technical Design of Ubiquitous Comput-ing Systems.- Part II Foundations.- Protecting Personality Rights and Legal Accountability.- Un-derstanding the Formation of Trust.- User Model.- Enabling Active User Participation in Self-Adaptive Applications.- Matching and Mediation of Heterogeneous Context Information.- Mining Social Links for Ubiquitous Knowledge Engineer-ing.- Collaborative Context Prediction.- Ranking Cryptographic Algorithms.- Part III Methods.- Socially Compatible Technology Design.- Require-ment Patterns to Support Socio-technical System Design.- Designing Usable Adaptations.- SEMAT and VENUS — Different Perspectives?.- Part IV Applications.- Meet-U – Mobile Social Network.- Connect-U – A System for Enhancing Social Networking.- Support-U – Designing an Ambient Assisted Living System using Interdisciplinary De-velopment Patterns.- Part V Evaluation.- System Evaluation.- Simulation Study.- Part VI Conclu-sion & Outlook.- The Future of Socio-Technical Design for Ubiquitous Computing Systems.

Fields of interestInformation Systems Applications (incl.Internet); User Interfaces and Human Computer Interaction; Software Engineering



Due May 2014

2014. X, 360 p. 75 illus., 25 in color. Hardcover7 $129.00ISBN 978-3-319-05043-0

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E. M. Dede, Toyota Technical Center, Ann Arbor, MI, USA; J. Lee, Korea Aerospace University, Goyang-si, Korea, Republic of (South Korea); T. Nomura, Toyota Technical Center, Ann Arbor, MI, USA

Multiphysics SimulationElectromechanical System Applications and Optimization

This book covers the topic of multiphysics simula-tion with a focus on electromechanical systems (e.g. electronics, motors, and actuators). The importance of electromechanical systems is that they are becoming more prevalent in modern en-ergy storage/transmission devices plus advanced vehicles. Thus, the emphasis of the first part of the book is to provide a review of governing equations and numerical methods necessary for the multi-physics analysis of such systems. Representative electromechanical 2D and 3D example studies are then provided. The focus of the second part of the book is the integration of optimization (primarily gradient-based and some parametric) methods into the simulation process for efficient system design. Thus, the book highlights the unique intersection of modern computer-aided modeling and simulation tools with increasingly relevant numerical optimization techniques and how the combination leads to novel designs with improved performance.

Features 7 Discusses topology optimization methods for electromechanical multiphysics systems 7 Ad-dresses challenges in thermal management and numerical techniques for electronics sys-tems 7 Presents representative examples of multiphysics simulation and optimization for advanced research 7 Provides a concise review of the governing physics for a variety of electrome-chanical systems

Fields of interestSimulation and Modeling; Mechatronics; Optimi-zation



Due August 2014

2015. Approx. 250 p. (Simulation Foundations, Methods and Applications) Hardcover7 approx. $109.00ISBN 978-1-4471-5639-0

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54

R. Elias, German University in Cairo, Cairo, Egypt

Digital MediaA Problem-solving Approach for Computer Graphics

Focusing on the computer graphics required to create digital media this book discusses the con-cepts and provides hundreds of solved examples and unsolved problems for practice. Pseudo codes are included where appropriate but these coding examples do not rely on specific languages. The aim is to get readers to understand the ideas and how concepts and algorithms work, through practicing numeric examples. Topics covered in-clude: 2D Graphics 3D Solid Modelling Mapping Techniques Transformations in 2D and 3D Space Illuminations, Lighting and Shading Ideal as an upper level undergraduate text, Digital Media – A Problem-solving Approach for Computer Graphic, approaches the field at a conceptual level thus no programming experience is required, just a basic knowledge of mathematics and linear algebra.

Features 7 Offers a step-by-step guide on the core con-cepts in graphics 7 Conveys the ideas through numeric examples 7 Includes more than 300 solved examples and more than 200 unsolved problems

Contents Preface.- List of Abbreviations.- List of Ex-amples.- List of Problems.- Introduction.- 2D Graphics.- Transformations in 2D Space.- 3D Solid Modeling.- Transformations in 3D Space.- Curves.- Surfaces.- Projections.- View Transfor-mations.- Visibility.- Illumination, Lighting and Shading.- Mapping Techniques.- Color Spaces.- Linear Algebra.- Coordinate Systems.- Index.

Fields of interestComputer Graphics; Computer-Aided Engineer-ing (CAD, CAE) and Design; Media Design

Target groupsUpper undergraduate


Due March 2014

2014. XXXVI, 686 p. 314 illus. Softcover7 $99.00ISBN 978-3-319-05136-9

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S. H. Fairclough, K. Gilleade, Liverpool John Moores University School of Natural Sciences & Psychology, Liverpool, UK (Eds)

Advances in Physiological ComputingThis edited collection will provide an overview of the field of physiological computing, i.e. the use of physiological signals as input for computer control. It will cover a breadth of current research, from brain-computer interfaces to telemedicine.

Features 7 Broad overview of an emerging research field offering a unique and multidisciplinary insight into the area 7 Emphasises the common ground between a range of physiological computing appli-cations 7 Provides a unique perspective on how we may interact with technology in the future

Contents Introduction.- Meaningful Interaction with Physiological Computing.- Engineering Issues in Physiological Computing.- Eye Tracking and Eye-Based Human-Computer Interaction.- To-wards BCI-based Implicit Control in HCI.- Bio cybernetic Adaptation as Biofeedback Training.- Using fNIRS to Measure Mental Workload in the Real World.- Psychophysiological Feedback for Adaptive HRI.- The Drive to Explore.- The Vitality Bracelet.- Capturing HDM for Assisted Memory Recall.

Fields of interestUser Interfaces and Human Computer Interaction; Biological Psychology; Biometrics



Due May 2014

2014. XII, 263 p. 33 illus. (Human–Computer Interaction Series) Hardcover7 $109.00ISBN 978-1-4471-6391-6

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N. Ferro, University of Padua, Padua, Italy (Ed)

Bridging Between Information Retrieval and DatabasesPROMISE Winter School 2013, Bressanone, Italy, February 4-8, 2013. Revised Tutorial Lectures

The research domains of information retrieval and databases have traditionally adopted different approaches to information management. However, in recent years, there has been an increasing cross-fertilization among the two fields and now many research challenges are transversal to them. With this in mind, a winter school was organized in Bressanone, Italy, in February 2013, within the context of the EU-funded research project PROMISE (Participative Research Laboratory for Multimedia and Multilingual Information Systems Evaluation).

Features 7 Proceedings of the winter school organized by PROMISE EU FP7 network of excellence and the ELIAS research network 7 Covers hot topics such as evaluation with respect to useful-ness, crowdsourcing, evaluation on social media, moving from evaluation to applications 7 Based on lectures delivered by leading researchers in the fields of information retrieval and databases

Contents Databases.- Information retrieval.- Experimental evaluation.- Metrics and statistics.- Semantic search.- Keyword search in databases.- Semi-structured search.- Evaluation both in informa-tion retrieval and databases.- Crowdsourcing and social media.

Fields of interestInformation Storage and Retrieval; Database Management; Information Systems Applications (incl.Internet)



Due April 2014

2014. X, 237 p. (Lecture Notes in Computer Science / Information Systems and Applications, incl. Internet/Web, and HCI, Volume 8173) Softcover7 approx. $69.99ISBN 978-3-642-54797-3

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55

Y. Fu, Northeastern University, Boston, MA, USA (Ed)

Human-Centered Social Media AnalyticsThis book provides a timely and unique survey of next-generation social computational methodolo-gies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data.

Features 7 Provides a survey of next-generation social computational methodologies, from fundamentals to state-of-the-art techniques 7 Includes per-spectives from an international and interdisciplin-ary selection of pre-eminent authorities 7 Pres-ents balanced coverage of both detailed theoretical analysis and real-world applications

Contents Part I: Social Relationships in Human-Centered Media.- Bridging Human-Centered Social Media Content across Web Domains.- Learning Social Relations from Videos.- Community Understand-ing in Location-Based Social Networks.- Social Role Recognition for Human Event Understand-ing.- Integrating Randomization and Discrimina-tion for Classifying Human-Object Interaction Activities.- Part II: Human Attributes in Social Media Analytics.- Recognizing People in Social Context.- Female Facial Beauty Attribute Recogni-tion and Editing.- Facial Age Estimation.- Identity and Kinship Relations in Group Pictures.- Recog-nizing Occupations through Probabilistic Models.

Fields of interestBiometrics; Data Mining and Knowledge Dis-covery; User Interfaces and Human Computer Interaction



Due April 2014

2014. VIII, 208 p. 97 illus., 51 in color. Hardcover7 $109.00ISBN 978-3-319-05490-2

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A. Holzinger, Medical University of Graz Institute for Medical Informatics, Graz, Austria; M. Ziefle, C. Röcker, RWTH Aachen University Human Technology Centre, Aachen, Germany (Eds)

Pervasive HealthState-of-the-art and Beyond

Contents From Computer Innovation to Human Integra-tion: Current Trends and Challenges for Pervasive Health Technologies.- On challenges designing the home as a place for care.- E-Health Applica-tions for Those in Need: Making Novel Interaction Technologies Accessible.- The Innovation Binder Approach: a guide towards a social-technical balanced pervasive health system.- The Brain Computer Interface: Barriers to Becoming Perva-sive.- ‘RehabMaster™’: A pervasive rehabilitation platform for stroke patients and their caregiv-ers.- Managing Telehealth and Telecare.- Personal Assistive Devices for Elderlies: Executing activi-ties of daily living despite natural aging-related changes.- Sleep Quality Monitoring with the Smart Bed.- Interactive Infrastructures – Physical Rehabilitation Modules for Pervasive Healthcare Technology.- The Ongoing Development of a Multimedia Gaming Module to aid Speech, Lan-guage and Communication.- Pervasive Assistive Technology for the deaf-blind – Need, Emergency and Assistance through the Sense of Touch.- A New Methodology (CON-INFO) for Context-based Development of a Mobile User Interface in Healthcare Applications.- An Integrated patient-centric approach for situated research on Total Hip Replacement: ESTHER.

Fields of interestUser Interfaces and Human Computer Interaction; Computers and Society; Personal Computing



Due May 2014

2014. VIII, 367 p. 133 illus., 107 in color. (Human–Computer Interaction Series) Hardcover7 $129.00ISBN 978-1-4471-6412-8

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S. Iida, Senshu University, Kanagawa, Japan; J. Meseguer, University of Illinois, Urbana-Champaign, Urbana, IL, USA; K. Ogata, JAIST, Ishikawa, Japan (Eds)

Specification, Algebra, and SoftwareEssays Dedicated to Kokichi Futatsugi

Contents Domain Endurants: An Analysis and Description Process Model.- On Formal Definition and Analy-sis of Formal Verification Processes.- CafeOBJ Traces.- Parchments for CafeOBJ Logics.- Incre-mental Proofs of Termination, Confluence and Sufficient Completeness of OBJ Specifications.- The Versatile Synchronous Observer.- Model Checking TLR* Guarantee Formulas on Infinite Systems.- Towards a Combination of CafeOBJ and PAT.-Negative Variables and the Essence of Object-Oriented Programming.- Reasoning (on) Service Component Ensembles in Rewriting Logic.- Dynamic Validation of Maude Prototypes of UML Models.- Inspecting Rewriting Logic Computations (in a Parametric and Stepwise Way).- The Semantics of Datalog for the Eviden-tial Tool Bus (Extended Abstract).- Synthesis of Infinite-State Abstractions and Their Use for Software Validation.- Behavioral Rewrite Systems and Behavioral Productivity.- Functional Logic Programming in Maude.- Confluence: The Unify-ing, Expressive Power of Locality.- Foundations for Ensemble Modeling – The Helena Approach: Handling Massively Distributed Systems with ELaborate ENsemble Architectures.- Behaviour, Interaction and Dynamics.- Partially Ordered Knowledge Sharing and Fractionated Systems in the Context of other Models for Distributed Computing. [...]

Fields of interestLogics and Meanings of Programs; Mathematical Logic and Formal Languages; Software Engineer-ing



Available

2014. XXII, 657 p. 115 illus. (Lecture Notes in Computer Science / Theoretical Computer Science and General Issues, Volume 8373) Softcover7 $119.00ISBN 978-3-642-54623-5

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56

B. Ionescu, University Politehnica of Bucharest, , Romania; J. Benois-Pineau, University of Bordeaux, Talence, France; T. Piatrik, Queen Mary University, London, UK; G. Quénot, Lab. of Informatics of Grenoble, , France (Eds)

Fusion in Computer VisionUnderstanding Complex Visual Content

This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of interna-tional benchmarks that model realistic use cases.

Features 7 Examines information fusion in the context of multimodal and multidimensional data represen-tation, i.e., video, image and text 7 Presents a fo-cus on information fusion for tackling higher-level description of multimedia information 7 Dis-cusses the latest research on a broad range of multimedia information fusion techniques

Contents A Selective Weighted Late Fusion for Visual Concept Recognition.- Bag-of-Words Image Representation: Key Ideas and Further Insight.- Hierarchical Late Fusion for Concept Detection in Videos.- Fusion of Multiple Visual Cues for Object Recognition in Video.- Evaluating Multimedia Features and Fusion for Example-Based Event Detection.- Rotation-Based Ensemble Classifiers for High Dimensional Data.- Multimodal Fusion in Surveillance Applications.- Multimodal Vio-lence Detection in Hollywood Movies: State-of-the-Art and Benchmarking.- Fusion Techniques in Biomedical Information Retrieval.- Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content.

Fields of interestImage Processing and Computer Vision; Multi-media Information Systems; Artificial Intelligence (incl. Robotics)



Due April 2014

2014. XIV, 272 p. 74 illus., 65 in color. (Advances in Computer Vision and Pattern Recognition) Hardcover7 $109.00ISBN 978-3-319-05695-1

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D. Jaramillo, IBM, Lake Worth, FL, USA; B. Furht, Florida Atlantic University, Boca Raton, FL, USA; A. Agarwal, Florida Atlantic University, Coral Springs, FL, USA

Virtualization Techniques for Mobile SystemsThis book presents effective ways to partition mo-bile devices such that the enterprise system access and its information are completely separated from the personal information. For those using mobile devices for personal and business purposes, the ability to keep the data secure and separate is critical. The applications for security in smart platforms range from personal email accounts to global enterprise systems. Several approaches for mobile virtualization are described, all creating secure and secluded environments for enterprise information.

Features 7 Shows how to partition mobile devices to sepa-rate the enterprise system access and the personal information 7 Describes a reference architecture that allows for integration with existing mobile device systems 7 Provides statistical analysis to help identify the performance of the virtualization technologies tested across the various platforms

Contents Introduction.- Mobile Virtualization Technolo-gies.- Mobile Virtualization Comparative Analy-sis.- Mobile Virtualization Case Study.- Mobile Virtualization Reference Architecture.- Mobile Virtualization Container Performance Analysis.- Conclusion, Contributions and Future Work.

Fields of interestComputer Communication Networks; Multimedia Information Systems; Communications Engineer-ing, Networks



Due May 2014

2014. X, 110 p. 38 illus. (Multimedia Systems and Applications) Hardcover7 $109.00ISBN 978-3-319-05740-8

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J. Li, W. Gao, Peking University, Beijing, China (Eds)

Visual Saliency ComputationA Machine Learning Perspective

This book covers fundamental principles and com-putational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that com-bines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology.

Features 7 Written to be easily understood by a wide range of readers, from specialists in the field of visual saliency computation to general readers interested in computer science and cognitive psychology 7 Offers a foreword by Zhengyou Zhang, included in the front matter and is freely available for perusal on SpringerLink 7 Intro-duces concepts step-by-step, starting from visual saliency and progressively exploring the problems in modeling saliency, extracting salient objects, mining prior knowledge, evaluating performance, and using saliency in real-world applications

Contents Benchmark and evaluation metrics.- Location-based visual saliency computation.- Object-based visual saliency computation.- Learning-based visual saliency computation.- Mining cluster-specific knowledge for saliency ranking.- Remov-ing label ambiguity in training saliency model.- Saliency-based applications.- Conclusions and future work.

Fields of interestImage Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery



Due May 2014

2014. XI, 240 p. (Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics, Volume 8408) Softcover7 approx. $69.99ISBN 978-3-319-05641-8

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57

Z.-N. Li, M. S. Drew, J. Liu, Simon Fraser University, Burnaby, BC, Canada

Fundamentals of MultimediaFeatures 7 Provides an introduction to the fundamentals of multimedia for students with no background in the area 7 Enhanced second edition with a greater emphasis on networks, including social networks, wireless and mobile networks and coverage of multimedia databases and re-trieval 7 Updated with the latest multimedia standards, such as the new video compression and conferencing standards H.264 and H.265

Contents Part I: Introduction and Multimedia Data Rep-resentations.- Introduction to Multimedia.- A Taste of Multimedia.- Graphics and Image Data Representations.- Color in Image and Video.- Fundamental Concepts in Video.- Basics of Digital Audio.- Part II: Multimedia Data Compres-sion.- Lossless Compression Algorithms.- Lossy Compression Algorithms.- Image Compression Standards.- Basic Video Compression Tech-niques.- MPEG Video Coding: MPEG-1, 2, 4 and 7.- New Video Coding Standards: H.264 and H.265.- Basic Audio Compression Techniques.- MPEG Audio Compression.- Part III: Multimedia Communications and Networking.- Network Services and Protocols for Multimedia Communi-cations.- Internet Multimedia Content Distri-bution.- Multimedia over Wireless and Mobile Networks.- Part IV: Multimedia Information Shar-ing and Retrieval.- Social Media Sharing.- Cloud Computing for Multimedia Services.- Content-Based Retrieval in Digital Libraries.

Fields of interestMultimedia Information Systems; Computer Communication Networks; Data Storage Repre-sentation

Target groupsUpper undergraduate


Due April 2014

2nd ed. 2014. XXIV, 727 p. 350 illus., 97 in color. (Texts in Computer Science) Hardcover7 $99.00ISBN 978-3-319-05289-2

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T. H. Luan, Deakin University, Burwood, VIC, Australia; X. (. Shen, University of Waterloo, Waterloo, ON, Canada; F. Bai, General Motors Corporation, Warren, MI, USA

Enabling Content Distribution in Vehicular Ad Hoc NetworksThis SpringerBrief presents key enabling technolo-gies and state-of-the-art research on delivering ef-ficient content distribution services to fast moving vehicles. It describes recent research developments and proposals towards the efficient, resilient and scalable content distribution to vehicles through both infrastructure-based and infrastructure-less vehicular networks. The authors focus on the rich multimedia services provided by vehicular environment content distribution including vehicular communications and media playback, giving passengers many infotainment applications. Common problems of vehicular network research are addressed, including network design and optimization, standardization, and the adaptive playout from a user’s perspective.

Contents Introduction.- Medium-size Content Distribu-tion using an Infrastructure-based Approach.- Medium-size Content Transmission over Infrastructure-less Inter-vehicle Communica-tions.- Large-volume Content Distribution in Vehicular Networks: Adaptive Playout from User’s Perspective.- Conclusion.

Fields of interestComputer Communication Networks; Commu-nications Engineering, Networks; Information Systems Applications (incl.Internet)



Due April 2014

2014. XIV, 106 p. 52 illus., 47 in color. (SpringerBriefs in Computer Science) Softcover7 $54.99ISBN 978-1-4939-0690-1

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P. Maji, S. Paul, Indian Statistical Institute, Kolkata, India

Scalable Pattern Recognition AlgorithmsApplications in Computational Biology and Bioinformatics

Features 7 Reviews the development of scalable pattern recognition algorithms for computational biol-ogy and bioinformatics 7 Includes numerous examples and experimental results to support the theoretical concepts described 7 Concludes each chapter with directions for future research and a comprehensive bibliography

Contents Introduction to Pattern Recognition and Bioinformatics.- Part I Classification.- Neural Network Tree for Identification of Splice Junction and Protein Coding Region in DNA.- Design of String Kernel to Predict Protein Functional Sites Using Kernel-Based Classifiers.- Part II Feature Selection.- Rough Sets for Selection of Molecu-lar Descriptors to Predict Biological Activity of Molecules.- f -Information Measures for Selec-tion of Discriminative Genes from Microarray Data.- Identification of Disease Genes Using Gene Expression and Protein-Protein Interac-tion Data.- Rough Sets for Insilico Identifica-tion of Differentially Expressed miRNAs.- Part III Clustering.- Grouping Functionally Similar Genes from Microarray Data Using Rough-Fuzzy Clustering.- Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classi-fication.- Possibilistic Biclustering for Discovering Value-Coherent Overlapping d -Biclusters.- Fuzzy Measures and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images.

Fields of interestComputational Biology/Bioinformatics; Pattern Recognition; Artificial Intelligence (incl. Robotics)



Due April 2014

2014. XXII, 304 p. 55 illus., 10 in color. Hardcover7 $129.00ISBN 978-3-319-05629-6

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58

B. Meyer, ETH Zurich, Zurich, Switzerland

Agile!The Good, the Hype and the Ugly

Are you attracted by the promises of agile methods but put off by the fanaticism of many agile texts? Would you like to know which agile techniques work, which ones do not matter much, and which ones will harm your projects? Then you need Agile!: the first exhaustive, unbiased review of agile principles, techniques and tools. Agile methods are one of the most important develop-ments in software over the past decades, but also a surprising mix of the best and the worst. Until now every project and developer had to sort out the good ideas from the bad by themselves. This book spares you the pain. It offers both a thorough descriptive presentation of agile techniques and a perceptive analysis of their benefits and limita-tions. Agile!

Features 7 The first exhaustive, unbiased review of agile principles, techniques and tools 7 A key resource for projects that combine the best of established results and agile innovations 7 With chapters that critically analyse the four major agile methods: Extreme Programming, Lean Software, Scrum and Crystal 7 Author is one of the most-awarded and most-cited software engineering researchers (and a Certified Scrum Master)

Contents Overview.- Deconstructing agile texts.- The enemy: Big Upfront Anything.- Agile principles.- Agile roles.- Agile practices: managerial.- Agile practices: technical.- Agile artifacts.- Agile methods.- Dealing with agile teams.- The Ugly, the Hype and the Good: an assessment of the agile approach.

Fields of interestSoftware Engineering; Management of Computing and Information Systems; Project Management

Target groupsProfessional/practitioner


Due April 2014

2014. Approx. 190 p. 15 illus. in color. Softcover7 $29.99ISBN 978-3-319-05154-3

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V. Nath, Seattle, WA, USA; S. E. Levinson, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Autonomous Military RoboticsThis SpringerBrief reveals the latest techniques in computer vision and machine learning on robots that are designed as accurate and efficient military snipers. Militaries around the world are investigat-ing this technology to simplify the time, cost and safety measures necessary for training human snipers. These robots are developed by combining crucial aspects of computer science research areas including image processing, robotic kinematics and learning algorithms. The authors explain how a new humanoid robot, the iCub, uses high-speed cameras and computer vision algorithms to track the object that has been classified as a target. The robot adjusts its arm and the gun muzzle for maximum accuracy, due to a neural model that includes the parameters of its joint angles, the ve-locity of the bullet and the approximate distance of the target. A thorough literature review provides helpful context for the experiments. Of practical interest to military forces around the world, this brief is designed for professionals and researchers working in military robotics. It will also be useful for advanced level computer science students focused on computer vision, AI and machine learning issues.

Contents Introduction.- Overview of Probability and Statistics.- Primer on Matrices and Determinants.- Robot Kinematics.- Computer Vision.- Machine Learning.- Bullet Kinematics.- Experimental Results.- Future Direction.

Fields of interestArtificial Intelligence (incl. Robotics); Image Pro-cessing and Computer Vision; User Interfaces and Human Computer Interaction



Due May 2014

2014. X, 50 p. 17 illus. (SpringerBriefs in Computer Science) Softcover7 $54.99ISBN 978-3-319-05605-0

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V. Nath, Seattle, WA, USA; S. E. Levinson, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Autonomous Robotics and Deep LearningThis Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to de-velop “true consciousness.” It illustrates the critical first step towards reaching “deep learning,” long considered the holy grail for machine learning sci-entists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming, the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze, if a solution exists, within a few iterations. With clear analysis of the iCub experiments and its results, this Springer Brief is ideal for advanced level students, researchers and professionals focused on computer vision, AI and machine learning.

Contents Introduction.- Overview of Probability and Statistics.- Primer on Matrices and Determinants.- Robot Kinematics.- Computer Vision.- Machine Learning.- Experimental Results.- Future Direc-tion.

Fields of interestArtificial Intelligence (incl. Robotics); Image Pro-cessing and Computer Vision; User Interfaces and Human Computer Interaction



Due April 2014

2014. X, 65 p. 47 illus., 45 in color. (SpringerBriefs in Computer Science) Softcover7 $54.99ISBN 978-3-319-05602-9

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59

J. F. Peters, University of Manitoba, Winnipeg, MB, Canada; A. Skowron, University of Warsaw, Warsaw, Poland (Eds)

Transactions on Rough Sets XVIIThe LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XVII is a continuation of a number of research streams which have grown out of the seminal work by Zdzislaw Pawlak during the first decade of the 21st century.

Features 7 Regular issue of Transactions on Rough Sets containing seven high-quality papers 7 Offers a continuation of a number of research streams out of the seminal work by Zdzislaw Pawlak 7 A detailed preface, introducing the papers in the issue, is included in the front matter and is freely available for perusal on Springer Link

Contents Three-Valued Logics, Uncertainty Management and Rough Sets.- Standard Errors of Indices in Rough Set Data Analysis.- Proximity System: A Description-Based System for Quantifying the Nearness or Apartness of Visual Rough Sets.- Rough Sets and Matroids.- An Efficient Approach for Fuzzy Decision Reduct Computation.- Rough Sets in Economy and Finance.- Algorithms for Similarity Relation Learning from High Dimen-sional Data.

Fields of interestPattern Recognition; Numeric Computing; Artifi-cial Intelligence (incl. Robotics)



Available

2014. X, 294 p. 44 illus. (Lecture Notes in Computer Science / Transactions on Rough Sets, Volume 8375) Softcover7 $113.00ISBN 978-3-642-54755-3

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R. Prados, R. Garcia, L. Neumann, University of Girona, Girona, Spain

Image Blending Techniques and their Application in Underwater MosaicingThis work proposes strategies and solutions to tackle the problem of building photo-mosaics of very large underwater optical surveys, present-ing contributions to the image preprocessing, enhancing and blending steps, and resulting in an improved visual quality of the final photo-mosaic. The text opens with a comprehensive review of mosaicing and blending techniques, before proposing an approach for large scale underwa-ter image mosaicing and blending. In the image preprocessing step, a depth dependent illumina-tion compensation function is used to solve the non-uniform illumination appearance due to light attenuation. For image enhancement, the image contrast variability due to different acquisition al-titudes is compensated using an adaptive contrast enhancement based on an image quality reference selected through a total variation criterion.

Features 7 Proposes strategies and solutions to tackle the challenges of building photo-mosaics of very large underwater optical surveys 7 Presents a compre-hensive review of state-of-the art mosaicing and blending techniques 7 Introduces a complete approach to large-scale underwater image mosaic-ing and blending

Contents Introduction.- Underwater 2D Mosaicing.- State of the Art in Image Blending Techniques.- Pro-posed Framework.- Results.- Conclusions.

Field of interestImage Processing and Computer Vision



Due April 2014

2014. IX, 107 p. 49 illus., 20 in color. (SpringerBriefs in Computer Science) Softcover7 $54.99ISBN 978-3-319-05557-2

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K.-F. Richter, University of Zurich, Zurich, Switzerland; S. Winter, University of Melbourne, Parkville, VIC, Australia

LandmarksGIScience for Intelligent Services

This book covers the latest research on landmarks in GIS, including practical applications. It ad-dresses perceptual and cognitive aspects of natural and artificial cognitive systems, computational aspects with respect to identifying or selecting landmarks for various purposes, and communica-tion aspects of human-computer interaction for spatial information provision. Concise and orga-nized, the book equips readers to handle complex conceptual aspects of trying to define and formally model these situations.

Features 7 Summarizes the latest studies on car navigation services, mobile location-based services, museum guides, tourist guides, public transport planners and recent voice interfaces to mobile devic-es 7 Broadens understanding of spatial applica-tions for smart phones 7 Contains numerous exercises and examples to reinforce concepts

Contents Introduction: What landmarks are, and why they are important.- Landmarks: A thought experi-ment.- Cognitive aspects: How people perceive, memorize, think and talk about landmarks.- Con-ceptual aspects: How landmarks can be described in data models.- Computational aspects: How landmarks can be observed, stored, and anal-ysed.- Communication aspects: How landmarks enrich the communication between human and machine.- Conclusions: What is known and what is still challenging about landmarks.

Fields of interestInformation Systems and Communication Service; Geographical Information Systems/Cartography; Artificial Intelligence (incl. Robotics)



Due June 2014

2014. X, 220 p. 47 illus. Hardcover7 approx. $109.00ISBN 978-3-319-05731-6

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60

D. A. Simovici, University of Massachusetts, Boston Dept. Computer Science, Boston, MA, USA; C. Djeraba, Laboratoire d’Informatique Fundamentale de Lille, Villeneuve d’Ascq, France

Mathematical Tools for Data MiningSet Theory, Partial Orders, Combinatorics

Data mining essentially relies on several math-ematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general to-pology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc.

Features 7 Focuses on mathematical topics of im-mediate interest to data mining and machine learning 7 The mathematics is illustrated by significant applications ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc 7 Includes more than 700 exercises and solutions

Contents Sets, Relations and Functions.- Partially Ordered Sets.- Combinatorics.- Topologies and Measures.- Linear Spaces.- Norms and Inner Products.- Spectral Properties of Matrices.- Metric Spaces To-pologies and Measures.- Convex Sets and Convex Functions.- Graphs and Matrices.- Lattices and Boolean Algebras.- Applications to Databases and Data Mining.- Frequent Item Sets and Association Rules.- Special Metrics.- Dimensions of Metric Spaces.- Clustering.

Fields of interestData Mining and Knowledge Discovery; Math-ematics of Computing; Discrete Mathematics in Computer Science



Due April 2014

2nd ed. 2014. XI, 825 p. 93 illus. (Advanced Information and Knowledge Processing) Hardcover7 $189.00ISBN 978-1-4471-6406-7

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A. Vaisman, E. Zimányi, Université Libre de Bruxelles, Brussels, Belgium

Data Warehouse SystemsDesign and Implementation

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design; and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data ex-traction, transformation, and loading (ETL); and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses; and novel technologies like MapRe-duce, column-store databases, and in-memory databases. As a key characteristic of the book, most of the topics are presented and illustrated using application tools.

Features 7 Extensive coverage of all data warehouse is-sues, ranging from basic technologies to the most recent findings and systems 7 Each chapter summarized by review questions and detailed exercises 7 Concepts illustrated by an ongoing example based on the Northwind database using Microsoft Analysis Services and Pentaho Business Analytics 7 Additional website available with further teaching material, including slides for each chapter and solutions to all exercises

Fields of interestDatabase Management; Information Storage and Retrieval; Business Information Systems



Due May 2014

2014. X, 623 p. 228 illus., 51 in color. (Data-Centric Systems and Applications) Hardcover7 $89.99ISBN 978-3-642-54654-9

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C. Wagner, Universität Potsdam, Potsdam, Germany

Model-Driven Software Migration: A MethodologyReengineering, Recovery and Modernization of Legacy Systems

Today, reliable software systems are the basis of any business or company. The continuous further development of those systems is the central com-ponent in software evolution. It requires a huge amount of time- man power- as well as financial resources. The challenges are size, seniority and heterogeneity of those software systems. Christian Wagner addresses software evolution: the inherent problems and uncertainties in the process. He presents a model-driven method which leads to a synchronization between source code and design. As a result the model layer will be the central part in further evolution and source code becomes a by-product. For the first time a model-driven procedure for maintenance and migration of software systems is described. The procedure is composed of a model-driven reengineering and a model-driven migration phase. The application and effectiveness of the procedure are confirmed with a reference implementation applied to four exemplary systems.

Feature 7 Publication in the field of technical sciences

Contents Fundamentals.- Model-Driven Software Migra-tion.- Related Work.- Case Study: DeAs.- Further Applications.- Conclusions.

Fields of interestSoftware Engineering/Programming and Operat-ing Systems; Computing Methodologies; Theory of Computation



Due March 2014

2014. XXV, 304 p. 95 illus. Softcover7 $109.00ISBN 978-3-658-05269-0

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61

M. Wodczak, Poznań, Poland

Autonomic Computing Enabled Cooperative Networked DesignThis book introduces the concept of autonomic computing driven cooperative networked system design from an architectural perspective. As such it leverages and capitalises on the relevant ad-vancements in both the realms of autonomic com-puting and networking by welding them closely together. In particular, a multi-faceted Autonomic Cooperative System Architectural Model is de-fined which incorporates the notion of Autonomic Cooperative Behaviour being orchestrated by the Autonomic Cooperative Networking Protocol of a cross-layer nature. The overall proposed solution not only advocates for the inclusion of certain De-cision Making Entities, but it also provides all the necessary implementation guidelines along with the pertinent standardisation orientated insight.

Contents Introduction.- Autonomic Computing and Networking.- Autonomic Cooperative System Architecture.- Autonomic Cooperative Be-haviour.- Autonomic Cooperative Networking Protocol.- Autonomic Decision Making Entities.- Implementation and Simulation Environment.- Standarisation and Deployment.- Summary.

Fields of interestComputer Communication Networks; Processor Architectures



Due April 2014

2014. XIV, 114 p. 53 illus. in color. (SpringerBriefs in Computer Science) Softcover7 $54.99ISBN 978-1-4939-0763-2

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