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Integrative Bioinformatics: History and Future

by Ming Chen Ralf Hofestädt

This book provides an overview of the history of integrative bioinformatics and the actual situation and the relevant tools. Subjects cover the essential topics, basic introductions, and latest developments; biological data integration and manipulation; modeling and simulation of networks; as well as a number of applications of integrative bioinformatics. It aims to provide basic introduction of biological information systems and guidance for the computational analysis of systems biology. This book covers a range of issues and methods that unveil a multitude of omics data integration and relevance that integrative bioinformatics has today. It contains a unique compilation of invited and selected articles from the Journal of Integrative Bioinformatics (JIB) and annual meetings of the International Symposium on Integrative Bioinformatics.

Integrative Clinical Research (Advances in Experimental Medicine and Biology #1375)

by Mieczyslaw Pokorski

This book embraces a comprehensive range of research across several disciplines, providing insights and fresh perspectives on clinical topics, emphasizing the integrative medical approach. The book also addresses an increasing role of artificial intelligence in the development of clinical methodologies, research, and patient-oriented care. The authors share expertise and experience in rehabilitation medicine whose healing-effects particularly depend on the interaction between the therapist and patient. Chapters present novel approaches in manual rehabilitative therapy of common painful and disabling neuromuscular ailments, exemplified but not limited to low back pain and migraine. The myofascial trigger point release therapy includes specific manipulations to muscles and connective tissue which reduce pain. Other chapters address the issues of providing long-range medical care to older adults burdened with chronic diseases, notably hypoxia-related pathologies and their sequalae, pointing to the advantages of care provided by a single primary care physician. Changing paradigm of care is essential in chronic atherosclerosis-based diseases like cardiovascular disorders or diabetes. Chapters provide results of international cohort studies on predictive factors for the long-range progress of such ailments based on anthropometric and lifestyle indicators. The book aims to meet the increasing interest and importance to patients of integrative health therapies. Medical rehabilitation and lifestyle changes increasingly gain scientific support in difficult-to-treat chronic conditions and should be integrated in a controlled manner into conventional medicine. The book is addressed to physiotherapists, medical scientists and clinicians, and allied healthcare professionals.

Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics – Prozesssimulation, Rollenspiel, Serious Gaming (eXamen.press)

by Klaus-Dieter Gronwald

Standardisierte IT-gestützte Informationssysteme und Geschäftsprozesse beeinflussen sich gegenseitig. Sie sind fest in unternehmerisches Denken und Handeln integriert. Gerade die jüngsten Entwicklungen von Big Data Methoden und In-Memory Computing zeigen dieses sehr deutlich. Es sind technologiegetriebene Innovationen, die Unternehmensstrukturen und ihre Wettbewerbssituation nachhaltig verändern. Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), Business Intelligence (BI) und Big Data Analytics (BDA) sind unternehmerische Aufgaben und Prozesse, die mit Hilfe standardisierter Softwaresysteme realisiert werden. Von Informatikern erfordert das managementorientiertes Denken und Handeln, wenn sie sich mit den oben genannten Themen auseinandersetzen. Es liegt nahe, Studierende diese Themen direkt aus der Businessperspektive erfahren zu lassen, zum Beispiel als Geschäftsleitungsmitglieder einer virtuellen Musterfirma.

Integrierte Business-Informationssysteme: Ganzheitliche, geschäftsprozessorientierte Sicht auf die vernetzte Unternehmensprozesskette ERP, SCM, CRM, BI, Big Data Analytics (Examen. Press Ser.)

by Klaus-Dieter Gronwald

Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), Business Intelligence (BI) und Big Data Analytics (BDA) sind unternehmerische Aufgaben und Prozesse, die durch standardisierte Softwarelösungen unterstützt werden.Dieses Lehrbuch lässt Studierende direkt aus der Businessperspektive anhand eines rollenbasierten Business Games erfahren, wie unternehmerische Aufgaben und Prozesse mit Hilfe standardisierter Softwaresysteme realisiert werden. Dadurch vermittelt es managementorientiertes Denken und Handeln, das für Informatiker, die sich mit geschäftsprozessorientierten IT-Lösungen befassen, unerlässlich ist.Die dritte Auflage des Buches wurde vollständig überarbeitet, neu strukturiert und um aktuelle Themenbereiche wie Blockchains in der Supply Chain und die Beziehung von Big Data Analytics zu Artificial Intelligence und Machine Learning ergänzt. Die Struktur des Buches orientiert sich an der schrittweisen Implementierung und Integration der jeweiligen Informationssysteme aus Unternehmens-, Business-, und Managementsicht. Teil I enthält ausführliche Kapitel zu den behandelten Themen mit Online-Tests und -Übungen zu jedem Kapitel. Teil II führt in das Rollenspiel und in die Online-Gaming- und Simulationsumgebung ein. Ergänzendes Unterrichtsmaterial, Präsentationen, Templates und Videoclips stehen online im Gamingbereich zur Verfügung. Die für dieses Buch neu geschaffene Gaming- und Businesssimulation Kdibisglobal.com enthält neben der bisherigen Bier-Division neu eine Mineral- und Tafelwasser-Division, eine Soft-Drink-Division sowie ein Fertigungsunternehmen für Barcode-Kassensysteme mit ihren speziellen Geschäftsprozessen und Supply Chains.

Integrierte Business-Informationssysteme: Vernetzte Unternehmensprozesskette ERP, SCM, CRM, BI, Big Data Analytics, und wie künstliche Intelligenz sie beeinflusst

by Klaus-Dieter Gronwald

Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship (CRM), Business Intelligence (BI), und Big Data Analytics sind unternehmerische Aufgaben und Prozesse, die durch standardisierte Softwarelösungen realisiert werden. Methoden der künstlichen Intelligenz wie Machine Learning, generative KI und Computer Vision beeinflussen und steuern diese Prozesse. Dieses Lehrbuch lässt Studierende aus der Businessperspektive erfahren, wie diese Methoden vernetzt sind, wie sie sich gegenseitig beeinflussen und wo ihre Grenzen sind. Dadurch wird managementorientiertes Denken und Handeln vermittelt, das für Informatiker, die sich mit geschäftsprozessorientierten IT-Lösungen befassen, unerlässlich ist.

Integrierte Industrielle Sach- und Dienstleistungen

by Eckart Uhlmann Horst Meier

Hybride Leistungsbündel (HLB) dienen dazu, ein innovatives und nutzenorientiertes Produktverständnis von Sach- und Dienstleistungen zu etablieren. Hochkomplexe Anlagen lassen sich durch diese integrierte Betrachtung von Sach- und Dienstleistungsanteilen deutlich besser vermarkten. Der Band liefert einen Überblick zu diesem Konzept und stellt entsprechende Methoden und Werkzeuge zur Entwicklung von Sach- und Dienstleistungen vor. Dabei berücksichtigen die Autoren den gesamten Zyklus: von der Planung und Entwicklung bis zur Erbringung und Nutzung.

Integrity Constraints on Rich Data Types (Synthesis Lectures on Data Management)

by Shaoxu Song Lei Chen

This book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data. Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with timestamps, and graph data with complicated structures. The text will also discuss interesting constraints on ordering or similarity relationships contained in novel classes of data dependencies in addition to those in equality relationships, e.g., considered in functional dependencies (FDs). In addition to exploring the concepts of these data dependency notations, the book investigates the extension relationships between data dependencies, such as conditional functional dependencies (CFDs) that extend conventional functional dependencies (FDs). This forms in the book a family tree of extensions, mostly rooted in FDs, that help illuminate the expressive power of various data dependencies. Moreover, the book points to work on the discovery of dependencies from data, since data dependencies are often unlikely to be manually specified in a traditional way, given the huge volume and high variety in big data. It further outlines the applications of the extended data dependencies, in particular in data quality practice. Altogether, this book provides a comprehensive guide for readers to select proper data dependencies for their applications that have sufficient expressive power and reasonable discovery cost. Finally, the book concludes with several directions of future studies on emerging data.

Integrity in Government through Records Management: Essays in Honour of Anne Thurston

by James Lowry Justus Wamukoya

As a celebration of Anne Thurston’s pioneering work on records and archives management as an essential basis for demonstrating integrity in government, this excellent volume brings together scholars and practicing archivists to discuss key issues around records as evidence for accountability, transparency and the protection of citizens’ rights. Never before have authors from the developing and developed worlds come together to explore the intersection of records management, public administration and international development. The book covers Thurston’s work, the importance of records management for effective governance and digital records management and preservation in developing countries. Case studies from across Africa enhance the theoretical and practical perspectives taken by the authors. This book is essential reading for scholars and students interested in records management and good governance around the world.

Intel Edison Projects

by Avirup Basu

Build powerful Robots and IoT solutions using Intel Edison About This Book • Learn to build advanced level robots with Intel Edison and Arduino • Efficiently build and program home automation and IoT projects with Intel Edison • Master the skills of creating enticing projects with Intel Edison. Who This Book Is For If you are a hobbyist, robot engineer, IoT enthusiast, programmer, or developer who wants to create autonomous projects with Intel Edison, then this book is for you. Prior programming knowledge would be beneficial. What You Will Learn • Program your device using the Arduino processor language, Python, and Node.js • Interface different sensors with the Intel Edison • Build a home automation system using MQTT, Android, and WPF • Perform face detection using Intel Edison • Develop a high-speed line follower robot • Control a robot using a PC application and an custom controller In Detail Change the way you look at embedded electronics with Intel Edison. It is a small computing platform packed with a set of robust features to deliver hands-on performance, durability, and software support. This book is a perfect place to kickstart development and rapid prototyping using Intel Edison. It will start by introducing readers to the Intel Edison board and explaining how to get started with it. You will learn how to build a mini weather station, which will help you to acquire temperature and smoke level and push it to the IoT platform. Then you will see how to build a home automation device and control your appliances using an Android app. Furthermore, we will build a security system using a webcam to detect faces and perform voice recognition. Toward the end, the book will demonstrate how you can build two robots, which will be based on different line sensing sensors and can be controlled by a PC. The book will guide the readers through each and every step of execution of a project, using Intel Edison. Style and approach A project-based guide that will take the readers through various domains of projects like robotics, IoT and so on.

Intel Galileo Blueprints

by Marco Schwartz

If you are an experienced developer using classic Arduino boards and would like to extend your knowledge to the Intel Galileo board and polish your project building skills, this book is for you.

Intel Galileo Essentials

by Richard Grimmett

This book is for anyone who has ever been curious about using the Intel Galileo to create electronics projects. Some programming background is useful, but if you know how to use a personal computer, with the aid of the step-by-step instructions in this book, you can construct complex electronics projects that use the Intel Galileo.

Intel Galileo Networking Cookbook

by Marco Schwartz

Over 50 recipes that will help you use the Intel Galileo board to build exciting network-connected projects About This Book * Create networking applications using the Intel Galileo board * Control your web-based projects in real time from anywhere in the world * Connect to the Temboo web service to interact with a huge range of APIs Who This Book Is For If you have already worked on ARM boards like Arduino, but now want to learn Intel Galileo, then this book is for you. Knowledge of C programming language is required. What You Will Learn * Set up your Galileo board for the Internet of Things * Connect external sensors to the Intel Galileo * Create and run a web server on the Galileo board * Control hardware devices from the Galileo * Host web-based applications on the Intel Galileo * Monitor data from the cloud using the Galileo * Build a complete home automation hub using the Galileo board In Detail Arduino is an electronic prototyping platform used by millions of people around the world. Intel Galileo is fully Arduino compatible; hence it combines the high performance of Intel with the simplicity of Arduino Software Development Environment. This makes it the ideal platform to build exciting projects, especially in the field of web-based connected applications and the Internet of Things. The book features several recipes all based on the Intel Galileo board, and that exploit the powerful features of the board. Each chapter explores a given field using the Galileo board. The book is mainly divided in three parts. The first part is all about learning the basics of the Intel Galileo board, but it uses some of the powerful features of the board such as connecting external sensors and complex hardware devices, compared with more basic Arduino boards. Then, the book dives into the topics related to networking and the Internet of Things. You will learn how to run a web server on the board and log data using a cloud-based service. Finally, the book ends with a chapter that aims to build a complete home automation hub using the Galileo board. This chapter uses everything that was learned in the book to make a home automation system using the Galileo board and Arduino. Style and approach This book contains exciting recipes that will help you create projects using the Intel Galileo platform to build systems in various domains like local networking applications, the Internet of Things, and home automation. Each recipe is explained in a step-by-step fashion, always starting with the assembly of the hardware, followed by basics tests of all hardware components. At the end, an exciting project is built using the knowledge acquired in the rest of the book.

Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism

by James Reinders

Multi-core chips from Intel and AMD offer a dramatic boost in speed and responsiveness, and plenty of opportunities for multiprocessing on ordinary desktop computers. But they also present a challenge: More than ever, multithreading is a requirement for good performance. This guide explains how to maximize the benefits of these processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems. With it, you'll learn how to use Intel Threading Building Blocks (TBB) effectively for parallel programming -- without having to be a threading expert.Written by James Reinders, Chief Evangelist of Intel Software Products, and based on the experience of Intel's developers and customers, this book explains the key tasks in multithreading and how to accomplish them with TBB in a portable and robust manner. With plenty of examples and full reference material, the book lays out common patterns of uses, reveals the gotchas in TBB, and gives important guidelines for choosing among alternatives in order to get the best performance.You'll learn how Intel Threading Building Blocks:Enables you to specify tasks instead of threads for better portability, easier programming, more understandable source code, and better performance and scalability in generalFocuses on the goal of parallelizing computationally intensive work to deliver high-level solutionsIs compatible with other threading packages, and doesn't force you to pick one package for your entire programEmphasizes scalable, data-parallel programming, which allows program performance to increase as you add processorsRelies on generic programming, which enables you to write the best possible algorithms with the fewest constraintsAny C++ programmer who wants to write an application to run on a multi-core system will benefit from this book. TBB is also very approachable for a C programmer or a C++ programmer without much experience with templates. Best of all, you don't need experience with parallel programming or multi-core processors to use this book.

Inteligência Artificial

by Patrícia Pinto Smart Reads

Os Empreendedores Elon Musk, Stephen Hawking e Bill Gates, proclamaram a Inteligência Artificial como uma possível ameaça no futuro, caso o Homem não faça uso desta tecnologia com sabedoria. Será verdade? Será possível criar, muito em breve, uma programação que dê um raciocínio e emoções aos dispositivos da Inteligência Artificial? Será, até mesmo, possível termos um candidato tipo-humano, projetado pela I.A, a concorrer às eleiçóes presidênciais no futuro? Estas são as questões e ideologias a ser abordadas no âmbito da I.A e foram aprofundadas no livro: “Inteligência Artificial: Compreender Em Que Consiste a I. A. e O Que Implica a Aprendizagem Das Máquinas”. Este livro foi elaborado de forma a dar uma visão geral e concisa acerca dos temas relacionados com o início da Era das ‘máquinas inteligentes’ e sobre a nossa abordagem atual dos tempos moderna, assim como o impacto das novas tecnologias no futuro e na existência da humanidade. Género: COMPUTADORES / Processamento de Dados Género Secundário: NEGÓCIOS & ECONOMIA / Geral. Línguas: Inglês, Português, outras versões poderão estar disponíveis. Palavras-chave: Inteligência Artificial, I.A, Aprendizagem das Máquinas, a Inteligência das Máquinas, Tecnologias, Avanços Tecnológicos, Computação, Automatização. Número de páginas: 42.

Intellectual Capital, Smart Technologies and Digitalization: Emerging Issues and Opportunities (SIDREA Series in Accounting and Business Administration)

by Daniela Mancini Rosa Lombardi Maria Serena Chiucchi

This book treats intellectual capital, smart technologies, and digitalization processes as levers of corporate competitiveness and global value creation. This book is based on theoretical and practical research output from the STEDIC SIDREA Group. It uses several methodologies to discover features and pillars on intellectual capital such as human capital, relational capital, and structural capital as well as smart technologies such as artificial intelligence, Internet of Things, big data, and digitalization.

Intellectual Property and Open Source: A Practical Guide to Protecting Code

by Van Lindberg

"Clear, correct, and deep, this is a welcome addition to discussions of law and computing for anyone -- even lawyers!"-- Lawrence Lessig, Professor of Law at Stanford Law School and founder of the Stanford Center for Internet and SocietyIf you work in information technology, intellectual property is central to your job -- but dealing with the complexities of the legal system can be mind-boggling. This book is for anyone who wants to understand how the legal system deals with intellectual property rights for code and other content. You'll get a clear look at intellectual property issues from a developer's point of view, including practical advice about situations you're likely to encounter.Written by an intellectual property attorney who is also a programmer, Intellectual Property and Open Source helps you understand patents, copyrights, trademarks, trade secrets, and licenses, with special focus on the issues surrounding open source development and the GPL. This book answers questions such as:How do open source and intellectual property work together?What are the most important intellectual property-related issues when starting a business or open source project?How should you handle copyright, licensing and other issues when accepting a patch from another developer?How can you pursue your own ideas while working for someone else?What parts of a patent should be reviewed to see if it applies to your work?When is your idea a trade secret?How can you reverse engineer a product without getting into trouble?What should you think about when choosing an open source license for your project?Most legal sources are too scattered, too arcane, and too hard to read. Intellectual Property and Open Source is a friendly, easy-to-follow overview of the law that programmers, system administrators, graphic designers, and many others will find essential.

IntelliJ IDEA Essentials

by Jaroslaw Krochmalski

This book is for developers who want to work smarter so they can focus their efforts on the details that will give them the advantage. This book is tailor-made for developers who want to move from NetBeans and Eclipse to experience the power and functionality of IntelliJ IDEA.

Intelligence - Theories and Applications

by Michael Wink Joachim Funke Rainer M. Holm-Hadulla

Intelligence allows people to understand events and to shape their surrounding environment. This book delves deeper into the theories and applications of intelligence, showing it is a multifaceted concept —defined and explained differently by prestigious experts of various disciplines in their own research. The book provides interdisciplinary connections of intelligence as it relates to a variety of clearly outlined subject areas, and should lead to a deep understanding of the phenomenon as it pertains to practical applications in different domains. Contributors in this volume present results from evolutionary biology, mathematics, artificial intelligence, medicine, psychology, cultural studies, economy, political sciences and philosophy. Individual scientific models are integrated in an interdisciplinary concept of wisdom. This volume will help enhance the common understanding of intelligence for fellow researchers and scientists alike.

Intelligence Communication in the Digital Era: Transforming Security, Defence and Business

by Randolph H. Pherson Rubén Arcos

This edited volume argues that producers of analysis need to shift from producing static, narrative products to much more dynamic, digitally-based platforms in order to remain competitive and relevant.

Intelligence Computation and Applications: 14th International Symposium, ISICA 2023, Guangzhou, China, November 18–19, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2146)

by Yong Liu Kangshun Li

This two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18–19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications. Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.

Intelligence Computation and Applications: 14th International Symposium, ISICA 2023, Guangzhou, China, November 18–19, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2147)

by Yong Liu Kangshun Li

This two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18–19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications. Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.

Intelligence Enabled Research: DoSIER 2020 (Advances in Intelligent Systems and Computing #1279)

by Siddhartha Bhattacharyya Paramartha Dutta Kakali Datta

This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Intelligence Enabled Research: DoSIER 2021 (Studies in Computational Intelligence #1029)

by Siddhartha Bhattacharyya Sourav De Gautam Das

This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Intelligence Science I: Second IFIP TC 12 International Conference, ICIS 2017, Shanghai, China, October 25-28, 2017, Proceedings (IFIP Advances in Information and Communication Technology #510)

by Zhongzhi Shi, Ben Goertzel and Jiali Feng

This book constitutes the refereed proceedings of the Second International Conference on Intelligence Science, ICIS 2017, held in Shanghai, China, in October 2017.The 38 full papers and 9 short papers presented were carefully reviewed and selected from 82 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: theory of intelligence science; cognitive computing; big data analysis and machine learning; machine perception; intelligent information processing; and intelligent applications.

Intelligence Science II: Third IFIP TC 12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings (IFIP Advances in Information and Communication Technology #539)

by Zhongzhi Shi Cyriel Pennartz Tiejun Huang

This book constitutes the refereed proceedings of the Third International Conference on Intelligence Science, ICIS 2018, held in Beijing China, in November 2018.The 44 full papers and 5 short papers presented were carefully reviewed and selected from 85 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: brain cognition; machine learning; data intelligence; language cognition; perceptual intelligence; intelligent robots; fault diagnosis; and ethics of artificial intelligence.

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