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This is an open access book. The book starts with an introductory IoT overview related to its selected scope of applications. There is no doubt that digitalization solutions from Industry 4.0 and the Internet of Things (IoT) can be perceived as excellent candidate strategies capable of handling the above-stated issues concerning measurements and transparency. However, IoT tools themselves can provide appropriate data only, while their efficient integration and application are possible using a dedicated onboarding platform only. To settle this issue, the book undertakes the problem of modern IoT onboarding platforms for the advanced applications pertaining to manufacturing and logistics. In particular, instead of deliberating about a possible hypothetic platforms, an existing and efficient one is employed, which is called KIS.ME. KIS.ME (Keep It Simple. Manage Everything) is a complete IoT solution for a simple integration in manufacturing and logistics. It is composed of a set of hardware devices (KIS.BOX, KIS.IO and KIS.LIGHT), which are intuitively integrated with the cloud platform called KIS.MANAGER. Moreover, the entire platform is an open one, and hence, it enables communication with external services using KIS.API architecture. The application range of KIS.ME is extensive. This is due to the intuitive implementation and visualization of a user-defined key performance indicators (KPIs), which constitute effective optimization measures. Thus, the potential areas of application of KIS.ME are, e.g., manufacturing, warehouse management and logistics. Indeed, triggering and/or ordering various tasks can be immediately and efficiently implemented with KIS.ME. Such an approach translates directly to the savings of the time and energy. Subsequently, a gradual introduction to KIS.ME platform is presented, which constitutes the base for further advanced applications including logistics, control and maintenance of various processes. Finally, the potential of KIS.API communication framework is utilized for an efficient communication with external services.
Computational intelligence. --- Engineering mathematics. --- Engineering—Data processing. --- Dynamics. --- Nonlinear theories. --- Computational Intelligence. --- Mathematical and Computational Engineering Applications. --- Applied Dynamical Systems. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Engineering --- Engineering analysis --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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In diesem Open-Access-Buch stehen die wirtschaftliche Verwertung von Daten und die dazu gehörenden technischen und organisatorischen Prozesse und Strukturen in Unternehmen im Fokus. Es behandelt Themen wie Datenmonetarisierung, Datenverträge, Data Governance, Informationssicherheit, Datenschutz und die Vertrauenswürdigkeit von Daten. Seit Jahren wird davon gesprochen, dass „Daten das neue Öl“ sind. Expertinnen und Experten sind sich einig: Das Wertschöpfungspotential von Daten ist enorm und das über fast alle Branchen und Geschäftsfelder hinweg. Und dennoch bleibt ein Großteil dieses Potentials ungehoben. Deshalb nimmt dieser Sammelband konkrete Innovationshemmnisse, die bei der Erschließung des wirtschaftlichen Werts von Daten auftreten können, in den Blick. Er bietet praktische Lösungsansätze für diese Hürden an den Schnittstellen von Ökonomie, Recht, Akzeptanz und Technik. Dazu folgen die Autorinnen und Autoren einem interdisziplinären Ansatz und greifen aktuelle Diskussionen aus der Wissenschaft auf, adressieren praxisnahe Herausforderungen und geben branchenunabhängige Handlungsempfehlungen. Den Leserinnen und Lesern soll eine transparente Informationsbasis angeboten werden und damit die Teilnahme an der Datenwirtschaft erleichtert werden. Dieses Buch richtet sich an Entscheidungsträgerinnen und Entscheidungsträger in Unternehmen sowie an Entwicklerinnen und Entwickler datenbasierter Dienste und Produkte. Der Band ist ebenfalls für Fachkräfte der angewandten Forschung wie auch für interdisziplinär Studierende z.B. der Wirtschaftsinformatik, der technikorientierten Rechtswissenschaft oder der Techniksoziologie relevant. Die Herausgebenden Dr. Marieke Rohde ist promovierte Informatikerin und seit 2018 als wissenschaftliche Beraterin für Künstliche Intelligenz und Robotik am Institut für Innovation und Technik (iit) in Berlin tätig. Sie arbeitet hauptsächlich zum Technologietransfer aus der Wissenschaft in die wirtschaftliche Anwendung. Dr. Matthias Bürger ist promovierter Ökonom und Unternehmensgründer. Er arbeitet am Institut für Innovation und Technik (iit) in Berlin und beschäftigt sich dort unter anderem mit der Entwicklung von Geschäftsmodellen, Start-up-Unterstützung und der Innovationsindikatorik. Kristina Peneva ist Diplom-Politologin und seit 2017 als Beraterin am Institut für Innovation und Technik (iit) in Berlin mit dem Fokus auf Gründungen im Digitalbereich und Innovationsökosysteme tätig. Zudem unterstützt sie als Geschäftsmodell-Coach Start-ups und Forschungsprojekte bei der Entwicklung plattformbasierter Geschäftsmodelle. Johannes Mock studierte Philosophie an der Philipps-Universität-Marburg und der TU-Dresden. Seit 2018 ist er für das Institut für Innovation und Technik (iit) in Berlin im Bereich Gesellschaft und Innovation tätig. Aktuell arbeitet er als Berater in den Themengebieten Digitale Technologien, Nachhaltigkeit, Technikakzeptanz und Technikethik. .
Engineering—Data processing. --- Electronic commerce. --- Database management. --- Data protection. --- Data Engineering. --- E-Business. --- Database Management. --- Data and Information Security. --- Data governance --- Data regulation --- Personal data protection --- Protection, Data --- Electronic data processing --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Information superhighway --- Datenmonetarisierung --- Datenwirtschaft --- Datentechnologie --- Datenverträge --- Data Governance --- Datenvertragsrecht --- Informationssicherheit --- Datenschutz
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This Open-Access-book addresses the issue of translating mathematical expressions from LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, especially in the domain of Sciences, Technology, Engineering, and Mathematics (STEM), LaTeX has become the de-facto standard to typeset mathematical formulae in publications. Since scientists are generally required to publish their work, LaTeX has become an integral part of today's publishing workflow. On the other hand, modern research increasingly relies on CAS to simplify, manipulate, compute, and visualize mathematics. However, existing LaTeX import functions in CAS are limited to simple arithmetic expressions and are, therefore, insufficient for most use cases. Consequently, the workflow of experimenting and publishing in the Sciences often includes time-consuming and error-prone manual conversions between presentational LaTeX and computational CAS formats. To address the lack of a reliable and comprehensive translation tool between LaTeX and CAS, this thesis makes the following three contributions. First, it provides an approach to semantically enhance LaTeX expressions with sufficient semantic information for translations into CAS syntaxes. Second, it demonstrates the first context-aware LaTeX to CAS translation framework LaCASt. Third, the thesis provides a novel approach to evaluate the performance for LaTeX to CAS translations on large-scaled datasets with an automatic verification of equations in digital mathematical libraries. About the Author Dr. André Greiner-Petter is a postdoctoral researcher at the NII.
Maths for engineers --- Artificial intelligence --- Algebra --- LaTeX --- Computer Algebra Systems --- Presentational Mathematics --- Presentation to Computation Translations --- Computable Mathematics --- Mathematical Information Retrieval --- Engineering mathematics. --- Engineering—Data processing. --- Computational intelligence. --- Algebra. --- Artificial intelligence. --- Mathematical and Computational Engineering Applications. --- Computational Intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics --- Mathematical analysis --- Intelligence, Computational --- Soft computing --- Engineering --- Engineering analysis
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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. --- Environmental policy. --- Sociology. --- Geography. --- Engineering—Data processing. --- Information technology. --- Business—Data processing. --- Quality of Life Research. --- Environmental Policy. --- Sociology, general. --- Geography, general. --- Data Engineering. --- IT in Business. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Cosmography --- Earth sciences --- World history --- Social theory --- Social sciences --- Environment and state --- Environmental control --- Environmental management --- Environmental protection --- Environmental quality --- State and environment --- Environmental auditing --- Life, Quality of --- Economic history --- Human ecology --- Life --- Social history --- Basic needs --- Human comfort --- Social accounting --- Work-life balance --- Government policy --- 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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