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Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks: Emerging Technologies for Connected and Smart Vehicles (Studies in Systems, Decision and Control #242)
by Mohamed Elhoseny Aboul Ella HassanienThis book discusses vehicular communication systems, IoT, intelligent transportation systems and the Internet of Vehicles, and also introduces destination marketing in a structured manner. It is primarily intended for research students interested in emerging technologies for connected Internet of Vehicles and intelligent transportation system networks; academics in higher education institutions, including universities and vocational colleges; IT professionals; policy makers; and legislators. The book can also be used as a reference resource for both undergraduate and graduate studies. Written in plain and simple language, it describes new concepts so that they are accessible to readers without prior knowledge of the field.
Immersive Learning Research Network: 5th International Conference, iLRN 2019, London, UK, June 23–27, 2019, Proceedings (Communications in Computer and Information Science #1044)
by Leonel Morgado Johanna Pirker Dennis Beck Jonathon Richter Christian Gütl Anasol Peña-Rios Todd Ogle Daphne Economou Markos Mentzelopoulos Christian Eckhardt Roxane Koitz-Hristov Michael GardnerThis volume constitutes the refereed proceedings of the 5th International Conference of the Immersive Learning Network, iLRN 2019, held in London, UK, in June 2019.The 18 revised full papers and presented in this volume were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on science, technology, engineering, and mathematics (STEM); disciplinary applications: special education; disciplinary applications: history; pedagogical strategies; immersion and presence.
A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design (SpringerBriefs in Electrical and Computer Engineering)
by Juntao Chen Quanyan ZhuThis brief introduces game- and decision-theoretical techniques for the analysis and design of resilient interdependent networks. It unites game and decision theory with network science to lay a system-theoretical foundation for understanding the resiliency of interdependent and heterogeneous network systems. The authors pay particular attention to critical infrastructure systems, such as electric power, water, transportation, and communications. They discuss how infrastructure networks are becoming increasingly interconnected as the integration of Internet of Things devices, and how a single-point failure in one network can propagate to other infrastructures, creating an enormous social and economic impact. The specific topics in the book include: · static and dynamic meta-network resilience game analysis and design; · optimal control of interdependent epidemics spreading over complex networks; and · applications to secure and resilient design of critical infrastructures. These topics are supported by up-to-date summaries of the authors’ recent research findings. The authors then discuss the future challenges and directions in the analysis and design of interdependent networks and explain the role of multi-disciplinary research has in computer science, engineering, public policy, and social sciences fields of study. The brief introduces new application areas in mathematics, economics, and system and control theory, and will be of interest to researchers and practitioners looking for new approaches to assess and mitigate risks in their systems and enhance their network resilience. A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design also has self-contained chapters, which allows for multiple levels of reading by anyone with an interest in game and decision theory and network science.
Big Data and Networks Technologies (Lecture Notes in Networks and Systems #81)
by Yousef FarhaouiThis book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.
E-Learning and Games: 12th International Conference, Edutainment 2018, Xi'an, China, June 28–30, 2018, Proceedings (Lecture Notes in Computer Science #11462)
by Abdennour El Rhalibi Zhigeng Pan Haiyan Jin Dandan Ding Andres A. Navarro-Newball Yinghui WangThis book constitutes the refereed proceedings of the 12th International Conference on e-Learning and Games, EDUTAINMENT 2018, held in Xi’an, China, in June 2018. The 32 full and 32 short papers presented in this volume were carefully reviewed and selected from 85 submissions. The papers were organized in topical sections named: virtual reality and augmented reality in edutainment; gamification for serious game and training; graphics, imaging and applications; game rendering and animation; game rendering and animation and computer vision in edutainment; e-learning and game; and computer vision in edutainment.
A Handbook of Internet of Things in Biomedical and Cyber Physical System (Intelligent Systems Reference Library #165)
by Valentina E. Balas Vijender Kumar Solanki Raghvendra Kumar Md. Atiqur Rahman AhadThis book presents a compilation of state-of-the-art work on biomedical and cyber-physical systems in connection with the Internet of Things, and successfully blends theory and practice. The book covers the studies belonging to Biomedical and Cyber-physical System, so it is a unique effort by the research experts, who are divulging in the domain deeply. The book is very easy for the audience, who are doing study in the Biomedical and Cyber-physical System; it helps to read some real-time scenarios from where the reader in general gets many sparking ideas to convert it into the research problems in their studies. This book is of use to solve down the problems of graduate, postgraduate, doctoral industry executives, who are involving in the cutting-edge work of Internet of Things with Biomedical or Cyber-physical System, with the help of real-time solutions, given in the formation of chapters by subject’s experts.The key uses of this book are in the area of Internet of Things in connection with Cyber-physical System as well as Biomedical domain.
Model Selection and Error Estimation in a Nutshell (Modeling and Optimization in Science and Technologies #15)
by Luca OnetoHow can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80’s and includes the most recent results. It discusses open problems and outlines future directions for research.
Progress in Cryptology – LATINCRYPT 2017: 5th International Conference on Cryptology and Information Security in Latin America, Havana, Cuba, September 20–22, 2017, Revised Selected Papers (Lecture Notes in Computer Science #11368)
by Tanja Lange Orr DunkelmanThis book constitutes the refereed post-conference proceedings of the 5th International Conference on Cryptology and Information Security in Latin America, LATINCRYPT 2017, held in Havana, Cuba, in September 2017.The 20 papers presented were carefully reviewed and selected from 64 submissions. They are organized in the following topical sections: security protocols; public-key implementation; cryptanalysis; theory of symmetric-key cryptography; multiparty computation and privacy; new constructions; and adversarial cryptography.
Communication Technologies for Vehicles: 14th International Workshop, Nets4Cars/Nets4Trains/Nets4Aircraft 2019, Colmar, France, May 16–17, 2019, Proceedings (Lecture Notes in Computer Science #11461)
by Benoît Hilt Marion Berbineau Alexey Vinel Magnus Jonsson Alain PirovanoThis book constitutes the proceedings of the 14th International Workshop on Communication Technologies for Vehicles, Nets4Cars/Nets4Trains/Nets4Aircraft 2019, held in Colmar, France, in May 2019. The 9 full papers and 1 short paper in this volume were carefully reviewed and selected from 15 submissions. The volume features contributions in the theory or practice of intelligent transportation systems (ITS) and communication technologies for: - Vehicles on the road: e.g. cars, trucks and buses; - Air: e.g. aircraft and unmanned aerial vehicles; and - Rail: e.g. trains, metros and trams.
Biologically Inspired Cognitive Architectures 2019: Proceedings of the Tenth Annual Meeting of the BICA Society (Advances in Intelligent Systems and Computing #948)
by Alexei V. SamsonovichThe book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
Mathematical Modeling and Simulation of Systems: Selected Papers of 14th International Scientific-Practical Conference, MODS, 2019 June 24-26, Chernihiv, Ukraine (Advances in Intelligent Systems and Computing #1019)
by Alexander Palagin Anatoliy Anisimov Anatoliy Morozov Serhiy ShkarletThis book presents current investigations in the field of mathematical modeling and simulation to support the development of intelligent information systems in domains such as ecology and geology, manufacturing, project management, and safety of distributed information systems. The book will be of interest to developers of modern high-tech software complexes for situational control centers, based on mathematical modeling and simulation methods. In addition, it will appeal to software engineers and programmers, offering them new implementation and application methods. Gathering the latest research, prepared by leading scholars, and identifying promising new directions for solving complex scientific and practical problems, the book presents selected outcomes of the 14th International Scientific-Practical Conference, MODS2019, held in Chernihiv, Ukraine, on June 24 to 26, 2019.
Advances in Swarm Intelligence: 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part II (Lecture Notes in Computer Science #11656)
by Ying Tan Yuhui Shi Ben NiuThe two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows: Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management.
Advances in Swarm Intelligence: 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part I (Lecture Notes in Computer Science #11655)
by Ying Tan Yuhui Shi Ben NiuThe two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows:Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management.
Data Management Technologies and Applications: 7th International Conference, DATA 2018, Porto, Portugal, July 26–28, 2018, Revised Selected Papers (Communications in Computer and Information Science #862)
by Christoph Quix Jorge BernardinoThis book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.
Proceedings of the International Conference of Mechatronics and Cyber-MixMechatronics – 2019 (Lecture Notes in Networks and Systems #85)
by Gheorghe Ion GheorgheThese proceedings gather contributions presented at the 3rd International Conference of Mechatronics and Cyber-MixMechatronics/ICOMECYME, organized by the National Institute of R&D in Mechatronics and Measurement Technique in Bucharest, Romania, on September 5th–6th, 2019. Reflecting the expansion mechatronics, it discusses topics in the newer trans-disciplinary fields, such as adaptronics, integronics, and cyber-mixmechatronics. With a rich scientific tradition and attracting specialists from around the globe – including North America, South America, and Asia – ICOMECYME focuses on presenting the latest research. It is mainly directed at academics and advanced students, but also appeals to R&D experts, offering a platform for scientific exchange. These proceedings are a valuable resource for entrepreneurs who want to invest in research and who are open for collaborations.
Applied Compositional Data Analysis: With Worked Examples In R (Springer Series in Statistics)
by Peter Filzmoser Matthias Templ Karel HronThis book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data analysis rather than on detailed theoretical derivations, thus issues like graphical visualization and preprocessing (treatment of missing values, zeros, outliers and similar artifacts) form an important part of the book. Since it is primarily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.
Multimodal Analytics for Next-Generation Big Data Technologies and Applications
by Kah Phooi Seng Li-Minn Ang Alan Wee-Chung Liew Junbin GaoThis edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
Software Engineering Paralleler Systeme: Grundlagen, Algorithmen, Programmierung
by Michael UelschenMichael Uelsen beleuchtet die Softwareentwicklung aus verschiedenen Sichtweisen. In der Einführung seines Buches über das Software Engineering stellt er Anwendungsfälle dar und erläutert die Herausforderungen bei der Arbeit mit parallelen Systemen. Anschließend bringt er die Eigenschaften und Besonderheiten paralleler Systeme und Algorithmen zur Sprache. Es geht dabei vor allem um Präfixsummen, Sortier- und rekursive Suchverfahren. Daneben spielen aber auch CPU-Programmierung, GPU-Programmierung und moderne Programmiersprachen eine tragende Rolle in diesem Werk.
Schwarmintelligenz
by Heiko HamannDieses Buch veranschaulicht mithilfe mathematischer Modelle, wie man die kollektive Intelligenz natürlicher Systeme untersucht und anschließend in intelligente Algorithmen und Roboterschwärme übersetzt. Menschen nutzen Tiere seit Jahrtausenden zur Unterstützung ihrer Arbeiten und dies wird sich auch in der Zukunft nicht ändern: Anstelle der lebenden Tiere werden es jedoch ihre Intelligenzleistungen und Kommunikationsstrategien sein, die unsere modernen Leben immer mehr beeinflussen. Heiko Hamann begeistert mit seiner Faszination für die Leistungen tierischer und menschlicher Gesellschaften. In einfachen Beispielen und in eleganter, präziser und einfach verständlicher Weise erklärt er diese Systeme und ihren Inspirationsursprung.
Electromagnetic Information Leakage and Countermeasure Technique: Translated by Liu Jinming, Liu Ying, Zhang Zidong, Liu Tao
by Taikang Liu Yongmei LiThis book presents a model of electromagnetic (EM) information leakage based on electromagnetic and information theory. It discusses anti-leakage, anti-interception and anti-reconstruction technologies from the perspectives of both computer science and electrical engineering. In the next five years, the threat posed by EM information leakage will only become greater, and the demand for protection will correspondingly increase. The book systematically introduces readers to the theory of EM information leakage and the latest technologies and measures designed to counter it, and puts forward an EM information leakage model that has established the foundation for new research in this area, paving the way for new technologies to counter EM information leakage. As such, it offers a valuable reference guide for all researchers and engineers involved in EM information leakage and countermeasures.
Advances in Computer Communication and Computational Sciences: Proceedings of IC4S 2018 (Advances in Intelligent Systems and Computing #924)
by Sanjiv K. Bhatia Krishn K. Mishra Shailesh Tiwari Munesh C. TrivediThis book includes key insights that reflect ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academics around the globe. It gathers high-quality, peer-reviewed papers presented at the International Conference on Computer, Communication and Computational Sciences (IC4S 2018), which was held on 20-21 October, 2018 in Bangkok. The book covers a broad range of topics, including intelligent hardware and software design, advanced communications, intelligent computing techniques, intelligent image processing, and web and informatics. Its goal is to familiarize readers from the computer industry and academia with the latest advances in next-generation computer and communication technology, which they can subsequently integrate into real-world applications.
Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018 (Advances in Intelligent Systems and Computing #937)
by Jyotsna Kumar Mandal Debika BhattacharyaThe book covers cutting-edge and advanced research in modelling and graphics. Gathering high-quality papers presented at the First International Conference on Emerging Technology in Modelling and Graphics, held from 6 to 8 September 2018 in Kolkata, India, it addresses topics including: image processing and analysis, image segmentation, digital geometry for computer imaging, image and security, biometrics, video processing, medical imaging, and virtual and augmented reality.
Kawaii Engineering: Measurements, Evaluations, and Applications of Attractiveness (Springer Series on Cultural Computing)
by Michiko Ohkura“Kawaii” is a Japanese word that denotes “cute,” “lovable,” or “charming” although it does not have exactly the same meaning as those adjectives. This book proposes engineering methodologies for systematic measurement of the affective perception of kawaii, by using virtual reality and biological signals, and discusses the effectiveness of kawaii engineering for designing industrial products and services. Kawaii can draw sympathy from people and can embody a special kind of cute design, which reduces fear and makes dull information more acceptable and appealing. Following the introduction of the background of kawaii engineering in Chapter 1, Chapters 2 and 3 describe experiments on the systematic measurement and evaluation methods for kawaii products and affective evaluation experiments. Chapter 4 proposes a mathematical model to identify the physical attributes that determine kawaii in motion. Chapters 5 and 6 explain research that uses biological signals and eye-tracking. After a brief survey of psychological research on kawaii and cuteness in Chapter 7, Chapters 8 and 9 introduce the use of spoons designed to stimulate the appetite of the elderly and the practical implementation of an emotion-driven camera. Chapters 10–14 explain experimental research that examines kawaii perception of people from various cultural backgrounds. Kawaii Engineering will appeal to those who work on affective computing, product design, user experience design, virtual reality, and biological signals.
Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 1 (Smart Innovation, Systems and Technologies #142)
by Ireneusz Czarnowski Robert J. Howlett Lakhmi C. JainThe book presents a collection of peer-reviewed articles from the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT-19), held Malta on 17–19 June 2019. The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored is wide, and covers methods of classification, prediction, data analysis, decision support, modelling and many more in such areas as finance, cybersecurity, economy, health, management and transportation. The topics cover also problems of data science, signal processing and knowledge engineering.
Applications of Emerging Memory Technology: Beyond Storage (Springer Series in Advanced Microelectronics #63)
by Manan SuriThe book intends to bring under one roof research work of leading groups from across the globe working on advanced applications of emerging memory technology nanodevices. The applications dealt in the text will be beyond conventional storage application of semiconductor memory devices. The text will deal with material and device physical principles that give rise to interesting characteristics and phenomena in the emerging memory device that can be exploited for a wide variety of applications. Applications covered will include system-centric cases such as – caches, NVSRAM, NVTCAM, Hybrid CMOS-RRAM circuits for: Machine Learning, In-Memory Computing, Hardware Security - RNG/PUF, Biosensing and other misc beyond storage applications. The book is envisioned for multi-purpose use as a textbook in advanced UG/PG courses and a research text for scientists working in the domain.