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Computer Applications --- Emergency Medicine --- Open Access --- Taktische Verwundetenversorgung --- Medizinische Simulation --- Physiologiesimulation --- Pathophysiologiemodell --- Physiologiemodell --- Tactical Combat Casualty Care Training --- TCCC Training --- Training mit Computerspiel --- Serious Games --- Information technology: general issues --- Accident & emergency medicine
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This open access book presents an overview and step-by-step explanation of process management. It starts with the individual participants’ perspectives on their work in a process and its structuring and harmonization, and then moves on to its specification in a model and how it is embedded in the organizational and IT environment of the company. Lastly, the book examines the joint processing of instances in the resulting socio-technical systems. A corresponding illustration, which expands with the overview, enables readers to gain a comprehensive understanding of business process management. The book presents various facets of business process management from the perspective of the participants, and introduces a selection of models that have proved useful in practice. The design of such models supports the transition from a more-or-less unstructured or unsatisfactory way of working to a structured process that corresponds to the ideas of the company and its customers. The book is intended for professionals in industry as well as students in the field of business information systems who are looking for guidelines on how to discover, create and implement real-world processes.
Computer Appl. in Administrative Data Processing --- Business Process Management --- Organization --- Information Systems Applications (incl. Internet) --- Business Information Systems --- Open Access --- S-BPM --- Design Thinking --- Workflow Management --- Public administration --- Information technology: general issues --- Business mathematics & systems --- Organizational theory & behaviour --- Information retrieval --- Internet searching
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This open access book introduces readers to the vision on future cities and urban lives in connection with “Society 5.0”, which was proposed in the 5th Basic Science and Technology Plan by Japan’s national government for a technology-based, human-centered society, emerging from the fourth industrial revolution. The respective chapters summarize the findings and suggestions of joint research projects conducted by H-UTokyo Lab. Through the research collaboration and discussion, this book explores the future urban lives under the concept of “Society 5.0”, characterized by the key phrases of data-driven society, knowledge-intensive society, and non-monetary society, and suggests the directionality to which the concept should aim as Japan’s technology-led national vision. Written by Hitachi’s researchers as well as academics from a wide range of fields, including engineering, economics, psychology and philosophy at The University of Tokyo, the book is a must read for members of the general public interested in urban planning, students, professionals and researchers in engineering and economics.
Quality of Life Research --- Environmental Policy --- Sociology, general --- Geography, general --- Data Engineering --- IT in Business --- Environmental Social Sciences --- Geography --- Urban Geography and Urbanism --- Data Driven Society --- Innovation --- The Fourth Industrial Revolution --- Internet of Things --- IoT --- Industry 4.0 --- Open Access --- Social & ethical issues --- Central / national / federal government policies --- Sociology --- Databases --- Technology: general issues --- Business mathematics & systems --- Business applications
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This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.
Engineering Ethics --- Robotics --- Applied Psychology --- Moral Philosophy and Applied Ethics --- Behavioral Sciences and Psychology --- AI and ethics --- ethics and robotics --- descriptive ethics --- relationship between ethics and law --- machine ethics --- machine meta-ethics --- machine normative ethics --- types of AI systems --- strong and weak AI --- challenges of AI --- Open Access --- Ethics & moral philosophy --- Technology: general issues --- Artificial intelligence --- Psychology
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This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Health Informatics --- Health Economics --- Open Access --- Big Data --- Machine Learning --- Artificial Intelligence --- Digital Disease Surveillance --- Health Mapping --- Health Records for Non-Communicable Diseases --- HealthMap --- Tools for Clinical Trials --- Medical equipment & techniques --- Information technology: general issues --- Health & safety aspects of IT --- Health economics
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This open access book presents the proceedings of the 3rd Indo-German Conference on Sustainability in Engineering held at Birla Institute of Technology and Science, Pilani, India, on September 16–17, 2019. Intended to foster the synergies between research and education, the conference is one of the joint activities of the BITS Pilani and TU Braunschweig conducted under the auspices of Indo-German Center for Sustainable Manufacturing, established in 2009. The book is divided into three sections: engineering, education and entrepreneurship, covering a range of topics, such as renewable energy forecasting, design & simulation, Industry 4.0, and soft & intelligent sensors for energy efficiency. It also includes case studies on lean and green manufacturing, and life cycle analysis of ceramic products, as well as papers on teaching/learning methods based on the use of learning factories to improve students’problem-solving and personal skills. Moreover, the book discusses high-tech ideas to help the large number of unemployed engineering graduates looking for jobs become tech entrepreneurs. Given its broad scope, it will appeal to academics and industry professionals alike.
Industrial and Production Engineering --- Renewable and Green Energy --- Engineering/Technology Education --- Study and Learning Skills --- Energy Efficiency --- Energy Policy, Economics and Management --- Engineering and Technology Education --- Engineering --- Entrepreneurship --- Education --- Sustainability --- Learning factories --- International collaboration --- Open Access --- Production engineering --- Alternative & renewable energy sources & technology --- Higher & further education, tertiary education --- Technology: general issues --- Study & learning skills: general --- Energy technology & engineering
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This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
Database Management --- Data Mining and Knowledge Discovery --- Computing Milieux --- Machine Learning --- Computer Systems Organization and Communication Networks --- open access --- data mining --- learning systems --- classification --- clustering --- semantics --- learning algorithms --- supervised learning --- association rules --- social networks --- graphic methods --- neural networks --- artificial intelligence --- computer vision --- correlation analysis --- databases --- education --- engineering --- graph theory --- image analysis --- Databases --- Database programming --- Data mining --- Expert systems / knowledge-based systems --- Information technology: general issues --- Machine learning --- Computer networking & communications
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This open access book coherently gathers well-founded information on the fundamentals of and formalisms for modelling cyber-physical systems (CPS). Highlighting the cross-disciplinary nature of CPS modelling, it also serves as a bridge for anyone entering CPS from related areas of computer science or engineering. Truly complex, engineered systems—known as cyber-physical systems—that integrate physical, software, and network aspects are now on the rise. However, there is no unifying theory nor systematic design methods, techniques or tools for these systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. A technique known as Multi-Paradigm Modelling has recently emerged suggesting to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s), and then weaving the results together to form a representation of the system. If properly applied, it enables, among other global aspects, performance analysis, exhaustive simulation, and verification. This book is the first systematic attempt to bring together these formalisms for anyone starting in the field of CPS who seeks solid modelling foundations and a comprehensive introduction to the distinct existing techniques that are multi-paradigmatic. Though chiefly intended for master and post-graduate level students in computer science and engineering, it can also be used as a reference text for practitioners.
Software Engineering --- Cyber-physical systems, IoT --- Special Purpose and Application-Based Systems --- Computer Applications --- Computer-Aided Engineering (CAD, CAE) and Design --- Open Access --- Embedded and cyber-physical systems --- Software design engineering --- Model-driven software engineering --- Modelica --- Performance Analysis --- Design Languages --- System Description Languages --- System and Modeling --- DEVS --- Statecharts --- Petri Nets --- Multi-Paradigm Modeling --- AADL --- Concurrency Modeling --- Electrical engineering --- Cybernetics & systems theory --- Expert systems / knowledge-based systems --- Information technology: general issues --- Computer-aided design (CAD)
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This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
Database Management --- Information Systems Applications (incl. Internet) --- Logic in AI --- Computer Appl. in Administrative Data Processing --- Business Information Systems --- Computer and Information Systems Applications --- Computer Application in Administrative Data Processing --- artificial intelligence --- big data --- data analytics --- data handling --- data integration --- data mining --- databases --- digital storage --- domain knowledge --- graph theory --- information management --- information technology --- integrated data --- internet --- knowledge management --- knowledge-based system --- ontologies --- semantics --- Databases --- Database programming --- Information retrieval --- Internet searching --- Artificial intelligence --- Public administration --- Information technology: general issues --- Business mathematics & systems
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This open access book constitutes the refereed proceedings of the 16th International Conference on Semantic Systems, SEMANTiCS 2020, held in Amsterdam, The Netherlands, in September 2020. The conference was held virtually due to the COVID-19 pandemic.
Knowledge based Systems --- Computer Applications --- Information Systems and Communication Service --- Computer and Information Systems Applications --- Computer Engineering and Networks --- artificial intelligence --- computer science --- computer systems --- data handling --- databases --- dbpedia --- internet --- knowledge-based system --- linguistics --- linked data --- Natural Language Processing (NLP) --- natural languages --- ontologies --- query languages --- query processing --- resource description framework --- search engines --- semantic web --- semantics --- World Wide Web --- Expert systems / knowledge-based systems --- Information technology: general issues --- Computer networking & communications
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