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Ein Physiologiemodell für Tactical Combat Casualty Care Training in mobilen Serious Games

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ISBN: 9783658302023 Year: Pages: 347 DOI: 10.1007/978-3-658-30202-3 Language: German
Publisher: Springer Nature
Subject: Computer Science --- Medicine (General)
Added to DOAB on : 2020-05-14 09:30:12
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Contextual Process Digitalization

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ISBN: 9783030383008 Year: Pages: 275 DOI: 10.1007/978-3-030-38300-8 Language: English
Publisher: Springer Nature
Subject: Political Science --- Business and Management --- Sociology --- Computer Science
Added to DOAB on : 2020-05-14 09:27:53
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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.

Leveraging Data Science for Global Health

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ISBN: 9783030479947 Year: Pages: 475 DOI: 10.1007/978-3-030-47994-7 Language: English
Publisher: Springer Nature
Subject: Medicine (General) --- Computer Science --- Economics
Added to DOAB on : 2020-09-01 00:01:25
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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.

Advances in Intelligent Data Analysis XVIII

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Book Series: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI ISBN: 9783030445843 Year: Pages: 588 DOI: 10.1007/978-3-030-44584-3 Language: English
Publisher: Springer Nature
Subject: Computer Science
Added to DOAB on : 2020-05-14 09:29:53
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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.

Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems

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ISBN: 9783030439460 Year: Pages: 285 DOI: 10.1007/978-3-030-43946-0 Language: English
Publisher: Springer Nature
Subject: Computer Science --- Agriculture (General)
Added to DOAB on : 2020-05-14 09:30:09
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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.

Knowledge Graphs and Big Data Processing

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Book Series: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI ISBN: 9783030531997 Year: Pages: 209 DOI: 10.1007/978-3-030-53199-7 Language: English
Publisher: Springer Nature
Subject: Computer Science --- Political Science --- Business and Management
Added to DOAB on : 2020-09-01 00:02:02
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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.

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

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Book Series: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI ISBN: 9783030528294 Year: Pages: 373 DOI: 10.1007/978-3-030-52829-4 Language: English
Publisher: Springer Nature
Subject: Computer Science --- Environmental Sciences --- Geography
Added to DOAB on : 2020-09-01 00:01:31
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This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.

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