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Information Technologies and Mathematical Modelling - Queueing Theory and Applications
by Rafael Yakupov Anatoly Nazarov Alexander DudinThisbook constitutes the refereed proceedings fo the 14th International Scientific Conferenceon Information Technologies and Mathematical Modeling, named after A. F. Terpugov, ITMM 2015, held in Anzhero-Sudzhensk, Russia, in November 2015. The 35 full papers included in this volume were carefully reviewedand selected from 89 submissions. They are devoted to new results in thequeueing theory and its applications, addressing specialists in probabilitytheory, random processes, mathematical modeling as well as engineers dealingwith logical and technical design and operational management oftelecommunication and computer networks.
Information Technologies and Their Applications: Second International Conference, ITTA 2024, Baku, Azerbaijan, April 23–25, 2024, Proceedings, Part I (Communications in Computer and Information Science #2225)
by Gulchohra Mammadova Telman Aliev Kamil Aida-ZadeThe two-volume set CCIS 2225 and 2226 constitutes the proceedings of the Second International Conference on Information Technologies and Their Applications, ITTA 2024, held in Baku, Azerbaijan, during April 23-25, 2024. The 51 full papers and 9 short papers presented were carefully reviewed and selected from 200 submissions. They were organized in the following topical sections: Part I - information technology in intelligent systems; and information technology in modeling. Part II - information technology applied in construction, industry, and engineering; and information technology in decision making.
Information Technologies and Their Applications: Second International Conference, ITTA 2024, Baku, Azerbaijan, April 23–25, 2024, Proceedings, Part II (Communications in Computer and Information Science #2226)
by Gulchohra Mammadova Telman Aliev Kamil Aida-ZadeThe two-volume set CCIS 2225 and 2226 constitutes the proceedings of the Second International Conference on Information Technologies and Their Applications, ITTA 2024, held in Baku, Azerbaijan, during April 23-25, 2024. The 51 full papers and 9 short papers presented were carefully reviewed and selected from 200 submissions. They were organized in the following topical sections: Part I - information technology in intelligent systems; and information technology in modeling. Part II - information technology applied in construction, industry, and engineering; and information technology in decision making.
Information Technology: An Introduction for Today's Digital World
by Richard FoxInformation Technology: An Introduction for Today's Digital World introduces undergraduate students to a wide variety of concepts they will encounter throughout their IT studies and careers. The book covers computer organization and hardware, Windows and Linux operating systems, system administration duties, scripting, computer networks, regular ex
Information Technology and Applied Mathematics: Icitam 2017 (Advances In Intelligent Systems And Computing #699)
by Dipak Kumar Jana Samarjit Kar Fagen Li Debasis Giri Peeyush ChandraThis book discusses recent advances and contemporary research in the field of cryptography, security, mathematics and statistics, and their applications in computing and information technology. Mainly focusing on mathematics and applications of mathematics in computer science and information technology, it includes contributions from eminent international scientists, researchers, and scholars. The book helps researchers update their knowledge of cryptography, security, algebra, frame theory, optimizations, stochastic processes, compressive sensing, functional analysis, and complex variables.
Information Technology for Education, Science, and Technics: Proceedings of ITEST 2024, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #221)
by Emil Faure Yurii Tryus Tero Vartiainen Olena Danchenko Maksym Bondarenko Constantine Bazilo Grygoriy ZaspaThis book deals with issues related to multi-faceted applications of information and communication technology in research, engineering, robotics, automation of technological processes, complex systems, and computer networks, as well as mathematical and computer modelling of physical, chemical, and economic processes. In this book, the authors explore various aspects of information and communication technology and systems and their integration into science, engineering, automation, and economics. The authors develop new models, methods, and approaches for monitoring and controlling systems, communication networks, artificial intelligence applications, and digital resilience. The book is of interest to experts in the field of information and communication technology and systems, scientists, and Ph.D. students.
Information Technology for Education, Science, and Technics: Proceedings of ITEST 2024, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #222)
by Emil Faure Yurii Tryus Tero Vartiainen Olena Danchenko Maksym Bondarenko Constantine Bazilo Grygoriy ZaspaThis book explores issues related to information and communication technology in management and higher education, intelligent computing, and information security. In this book, the authors investigate various aspects of information and communication technology and systems, their development and applications in education, science, and management. The authors develop new models, methods, and approaches for digital transformation in management processes including digital project management, intelligent systems, particularly those that deploy artificial intelligence, data protection, and reliability. A part of this book is devoted to the application of information and communication technology in higher education to ensure the process of digital transformation in higher education institutions. The book is of interest to experts in the field of information and communication technology and systems, project managers, scientists, and Ph.D. students.
Information Technology for Management: 15th Conference, ISM 2020, and FedCSIS-IST 2020 Track, Held as Part of FedCSIS, Sofia, Bulgaria, September 6–9, 2020, Extended and Revised Selected Papers (Lecture Notes in Business Information Processing #413)
by Ewa Ziemba Witold ChmielarzThis book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2020, which took place in Sofia, Bulgaria, during September 6–9, 2020. The FedCSIS Information Systems and Technologies Track included AIST 2020, DSH 2020, ISM 2020, and KAM 2020. For this track, a total of 29 submissions was received from which a total of 5 full and 3 short papers was accepted for publication in this volume. The papers were organized in topical sections named: improving project management methods; numerical methods of solving management problems; and technological infrastructure for business excellence.
Information Technology in Bio- and Medical Informatics
by Sami Khuri Andreas Holzinger Miroslav Bursa M. Elena RendaThis book constitutes the refereed proceedings of the 6th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2015, held in Valencia, Spain, in September 2015, in conjunction with DEXA 2015. The 9 revised long papers presented together with 1 poster paper were carefully reviewed and selected from 15 submissions. The papers address the following two topics: medical terminology and clinical processes and machine learning in biomedicine.
Information Technology in Environmental Engineering
by Jorge Marx Gómez Brenda ScholtzThis book presents new concepts as well as practical applications and experiences in the field of information technology for environmental engineering. The book has three main focus areas: firstly, it shows how information technologies can be employed to support natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Secondly, it demonstrates the application of computing in the everyday practices of environmental engineers, natural scientists, economists and social scientists. And thirdly, it demonstrates how the complexity of natural phenomena can be approached using interdisciplinary methods, where computer science offers the infrastructure needed for environmental data collection and management, scientific simulations, decision support documentation and reporting. The book collects selected papers presented at the 7th International Symposium on Environmental Engineering, held in Port Elizabeth, South Africa in July 2015. It discusses recent success stories in eco-informatics, promising ideas and new challenges from the interdisciplinary viewpoints of computer scientists, environmental engineers, economists and social scientists, demonstrating new paradigms for problem-solving and decision-making.
Information Technology in Geo-Engineering: Proceedings of the 3rd International Conference (ICITG), Guimarães, Portugal (Springer Series in Geomechanics and Geoengineering)
by António Gomes Correia Joaquim Tinoco Paulo Cortez Luís LamasThese proceedings address the latest developments in information communication and technologies for geo-engineering. The 3rd International Conference on Information Technology in Geo-Engineering (ICITG 2019), held in Guimarães, Portugal, follows the previous successful installments of this conference series in Durham (2014) and Shanghai (2010). The respective chapters cover the following: Use of information and communications technologies Big data and databases Data mining and data science Imaging technologies Building information modelling applied to geo-structures Artificial intelligence Smart geomaterials and intelligent construction Sensors and monitoring Asset management Case studies on design, construction and maintenance Given its broad range of coverage, the book will benefit students, educators, researchers and professional practitioners alike, encouraging these readers to help take the geo-engineering community into the digital age
Information Technology in Medical Diagnostics III: Metrological Aspects of Biomedical Research
by Waldemar WójcikThe science of biomedical measurements is experiencing a period of rapid development. Biomedical measuring systems are becoming increasingly accurate on the one hand and complex on the other. In order to make progress in this field, metrological problems must be solved using a systemic and formal approach. To this end, it is necessary to define the components of the system and the rules for their interaction, which allows the creation of a mathematical model. In this way, any technology or object can be presented in the form of a structure on which the necessary estimates can be formulated and synthesis, including metrological one, can be made. The authors have observed that despite the significance of the problem, few scientific centres deal with this issue in a generalised manner. Hence the idea of bringing together the achievements of the centres from Russia, Poland and Kazakhstan in one joint publication. The first and second volumes of Information Technology in Medical Diagnostics found readers not only in Poland, Ukraine, and Kazakhstan but also Spain, Russia and the Czech Republic. Following the readers’ suggestions, in the third volume of ITMD we returned to the formula of closed chapters known from volume one. Due to its limited volume, the book deals with the aforementioned issues in only selected areas of biomedical engineering. The book will be of interest not only for academics and engineers but also for professionals involved in biomedical engineering, seeking solutions for the problems that cannot be solved using "traditional" technologies or trying to improve existing measurement systems.
Information Technology, Systems Research, and Computational Physics (Advances in Intelligent Systems and Computing #945)
by Piotr Kulczycki Janusz Kacprzyk László T. Kóczy Radko Mesiar Rafal WisniewskiThis book highlights a broad range of modern information technology tools, techniques, investigations and open challenges, mainly with applications in systems research and computational physics. Divided into three major sections, it begins by presenting specialized calculation methods in the framework of data analysis and intelligent computing. In turn, the second section focuses on application aspects, mainly for systems research, while the final section investigates how various tasks in the basic disciplines—mathematics and physics—can be tackled with the aid of contemporary IT methods. The book gathers selected presentations from the 3rd Conference on Information Technology, Systems Research and Computational Physics (ITSRCP'18), which took place on 2–5 July 2018 in Krakow, Poland. The intended readership includes interdisciplinary scientists and practitioners pursuing research at the interfaces of information technology, systems research, and computational physics.
An Information Theoretic Approach to Econometrics
by Ron C. Mittelhammer George G. JudgeThis book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure-likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.
Information-Theoretic Evaluation for Computational Biomedical Ontologies
by Wyatt Travis ClarkThe development of effective methods for the prediction of ontological annotations is an important goal in computational biology, yet evaluating their performance is difficult due to problems caused by the structure of biomedical ontologies and incomplete annotations of genes. This work proposes an information-theoretic framework to evaluate the performance of computational protein function prediction. A Bayesian network is used, structured according to the underlying ontology, to model the prior probability of a protein's function. The concepts of misinformation and remaining uncertainty are then defined, that can be seen as analogs of precision and recall. Finally, semantic distance is proposed as a single statistic for ranking classification models. The approach is evaluated by analyzing three protein function predictors of gene ontology terms. The work addresses several weaknesses of current metrics, and provides valuable insights into the performance of protein function prediction tools.
Information Theoretic Learning
by Jose C. PrincipeThis book presents the first cohesive treatment of Information Theoretic Learning (ITL) algorithms to adapt linear or nonlinear learning machines both in supervised or unsupervised paradigms. ITL is a framework where the conventional concepts of second order statistics (covariance, L2 distances, correlation functions) are substituted by scalars and functions with information theoretic underpinnings, respectively entropy, mutual information and correntropy. ITL quantifies the stochastic structure of the data beyond second order statistics for improved performance without using full-blown Bayesian approaches that require a much larger computational cost. This is possible because of a non-parametric estimator of Renyi's quadratic entropy that is only a function of pairwise differences between samples. The book compares the performance of ITL algorithms with the second order counterparts in many engineering and machine learning applications. Students, practitioners and researchers interested in statistical signal processing, computational intelligence, and machine learning will find in this book the theory to understand the basics, the algorithms to implement applications, and exciting but still unexplored leads that will provide fertile ground for future research.
Information Theoretic Security: 10th International Conference, ICITS 2017, Hong Kong, China, November 29 – December 2, 2017, Proceedings (Lecture Notes in Computer Science #10681)
by Junji ShikataThis book constitutes the refereed proceedings of the 10th International Conference on Information Theoretic Security, ICITS 2017, held in Hong Kong, China, in November/December 2017.The 12 full papers were carefully reviewed and selected from 42 submissions. They are organized around the following topics: quantum cryptography; quantum information theory; post-quantum cryptography (e.g. lattices and cryptography); physical layer security; wiretap channels; adversarial channel models; cryptography from noisy channels; bounded storage models; network coding security; biometric security; randomness extraction; key and message rates; secret sharing; authentication codes; multiparty computations; information theoretic reductions; and implementation challenges.
Information Theory
by Robert B. AshExcellent introduction treats 3 major areas: analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Appendix summarizes Hilbert space background and results from the theory of stochastic processes. Advanced undergraduate to graduate level. Bibliography.
Information Theory and Statistics
by Solomon KullbackHighly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.
Information Theory for Complex Systems: An Information Perspective on Complexity in Dynamical Systems and Statistical Mechanics (Understanding Complex Systems)
by Kristian LindgrenThis book introduces a comprehensive framework tailored for dissecting complex systems across diverse disciplines. What defines a complex system? How can we harness information to quantify its order, structure, and intricacy? Delving into phenomena from the intricate processes in physical systems to the dynamic behaviours in cellular automata and pattern formation, readers will uncover the profound interplay between physics and information theory. This intricate relationship provides fresh insight into physical phenomena, reimagining them through the lens of information. Notably, the book demystifies how seemingly opposing forces—rising order and increasing disorder—coexist, ultimately shedding light on the second law of thermodynamics as an outcome of deterministic, reversible dynamics beneath the surface. Geared towards graduate students, this book presumes an undergraduate foundation in mathematics and physics, ensuring a deep, engaging exploration for its readers.
The Information Theory of Comparisons: With Applications to Statistics and the Social Sciences
by Roger BowdenThis book finds a broad domain of relevance in statistics and the social sciences. Its conceptual development is supported by applications to economics and income distribution, finance, education, demographics and actuarial science, political studies, psychology, and general statistics. Fresh perspectives on directional complexity have generated an informational theory of ‘more versus less’, with representative polar outcomes as good or bad, or rich or poor. New duality metrics for spread and asymmetry have resulted, motivated by internal perspectives on the part of subjects, such as attitudes to their comparative (dis)advantage. This book is a readable review of these developments. Concepts and applications are described in tandem with each other. They consolidate recent contributions to the research literature, augmented with fresh insights and applications. Dynamic extensions include modeling shifting social attitudes, while the broader agenda encompasses topical areas such as subjectivist probability, investment decision making, and income distribution.
Informational Limits in Optical Polarimetry and Vectorial Imaging
by Matthew R. ForemanCentral to this thesis is the characterisation and exploitation of electromagnetic properties of light in imaging and measurement systems. To this end an information theoretic approach is used to formulate a hitherto lacking, quantitative definition of polarisation resolution, and to establish fundamental precision limits in electromagnetic systems. Furthermore rigorous modelling tools are developed for propagation of arbitrary electromagnetic fields, including for example stochastic fields exhibiting properties such as partial polarisation, through high numerical aperture optics. Finally these ideas are applied to the development, characterisation and optimisation of a number of topical optical systems: polarisation imaging; multiplexed optical data storage; and single molecule measurements. The work has implications for all optical imaging systems where polarisation of light is of concern.
Informationsgesteuertes maschinelles Lernen: Data Science als Ingenieurdisziplin
by Gerald FriedlandDieses innovative Lehrbuch revolutioniert das maschinelle Lernen durch neue Informationsmessungsmethoden. Es basiert auf einem Seminar der UC Berkeley und zielt darauf ab, die Black-Box-Natur des maschinellen Lernens zu überwinden, indem es Datenqualitätsmessungen und A-priori-Schätzungen der Aufgabenkomplexität ermöglicht. Dies führt zu kleineren, erklärbareren und robusteren Modellen.Das Lehrbuch verbindet maschinelles Lernen mit Physik, Informationstheorie und Computertechnik und ist für ein breites Publikum verständlich. Es hinterfragt bestehende Branchenpraktiken und behandelt Themen wie Deep Learning und Datendrift. Geeignet für Akademiker und Industrieprofis, fördert es ein tiefgreifendes Verständnis von Data Science und lädt Leser ein, über konventionelle Ansätze hinauszudenken. Anstatt sich ausschließlich auf das „Wie“ zu konzentrieren, bietet dieser Text Antworten auf die „Warum“-Fragen, die das Fachgebiet durchdringen, und beleuchtet die zugrunde liegenden Prinzipien maschineller Lernprozesse und ihre praktischen Auswirkungen. Indem dieses Buch systematische Methoden bevorzugt, die auf physikalischen Grundprinzipien basieren, stellt es Branchenpraktiken in Frage, die oft aus ideologischen oder gewinnorientierten Motivationen entstanden sind. Es behandelt eine Reihe von Themen, darunter Deep Learning, Datendrift und MLOps, und nutzt ausgiebig grundlegende Konzepte wie Entropie, Kapazität und hohe Dimensionalität.Dieses Buch ist sowohl für Hochschul- als auch für Industrieprofis geeignet und dient als wertvolles Werkzeug für diejenigen, die ihr Verständnis von Data Science als Ingenieurdisziplin vertiefen möchten. Der zum Nachdenken anregende Inhalt regt die intellektuelle Neugier an und richtet sich an Leser, die mehr wollen als nur Code oder vorgefertigte Formeln. Der Text lädt die Leser dazu ein, über konventionelle Standpunkte hinauszuforschen und bietet eine alternative Perspektive, die eine umfassende Sichtweise für die Integration von Theorie und Praxis fördert. Dieses Buch eignet sich für Kurse im Grund- und Hauptstudium und kann auch praktizierenden Ingenieuren und Wissenschaftlern verschiedener Disziplinen zugute kommen, indem es ihr Verständnis der Modellierung vertieft und die Datenmessung effektiv verbessert.
Informatische Bildung im Mathematikunterricht der Grundschule: Durchführung und Auswertung einer Unterrichtsreihe zum Thema Kryptologie (BestMasters)
by Johanna Hedwig KerresInformatische Bildung in der Grundschule wird durch die von Medien und Informatiksystemen durchzogene Welt relevant. Im Kontrast dazu bindet der Lehrplan NRW für den Mathematikunterricht an Grundschulen diesen Bereich nicht ein. Ziel des Bandes ist der Ausbau des Forschungsstandes zum Thema informatische Bildung in der Grundschule, um einerseits die Relevanz auszuarbeiten und andererseits das Themenfeld didaktisch zu legitimieren. Dazu wurde im Sinne der fachdidaktischen Entwicklungsforschung eine Unterrichtsreihe zum Themenfeld Kryptologie durchgeführt. Durch Standortbestimmungen und Interviews wurde die Kompetenzentwicklung der Schüler*innen im Verlauf gemessen und ausgewertet. Aus den Ergebnissen ergibt sich der Bedarf der Einbindung informatischer Bildung in den Bildungskanon der Grundschule.
INFORMS ABOK (Wiley Series in Operations Research and Management Science)
by James J. CochranStandardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics—which is “a process by which a team of people helps an organization make better decisions (the objective) through the analysis of data (the activity)”— this book from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. The INFORMS ABOK documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics. The INFORMS ABOK offers in-depth insight from peer-reviewed chapters that provide readers with a better understanding of the dynamic field of analytics. Chapters cover: Introduction to Analytics; Getting Started with Analytics; The Analytics Team; The Data; Solution Methodology; Model Building; Machine Learning; Deployment and Life Cycle Management; and The Blossoming Analytics Talent Pool: An Overview of the Analytics Ecosystem. Across industries and academia, readers with various backgrounds in analytics – from novices who are interested in learning more about the basics of analytics to experienced professionals who want a different perspective on some aspect of analytics – will benefit from reading about and implementing the concepts and methods covered by the INFORMS ABOK.