4 10 59 http://www.oer.unair.ac.id/files/original/c9fd1fe8bb080203d4c71776b3a162b1.jpg ce887a3e4d8b3687893393d12f53e7ee http://www.oer.unair.ac.id/files/original/1f913686a00a6c34e9db60b7d997790a.pdf c10170a42c9515bf88905077c1212d6e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Rights for Robots : Artificial Intelligence, Animal and Environmental Law Subject The topic of the resource Computer Science, Engineering & Technology, Environment and Sustainability, Law, Politics & International Relations, Social Sciences Description An account of the resource Computer Science, Engineering & Technology, Environment and Sustainability, Law, Politics & International Relations, Social Sciences Creator An entity primarily responsible for making the resource Joshua C. Gellers Source A related resource from which the described resource is derived https://doi.org/10.4324/9780429288159 Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 28 October 2020 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC-ND Relation A related resource https://doi.org/10.4324/9780429288159 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context ISBN 9780429288159 Computer Science Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/c81676e341926637c4aed36a0bd7ecbd.jpg a8248e835e79a1d6a1c4c686145cd9fc http://www.oer.unair.ac.id/files/original/f5a9742f37401c67020c10d5f4fc071f.pdf c61a90646c1548fe41ebd9512ce7edb1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advanced Concepts for Renewable Energy Supply of Data Centres Subject The topic of the resource Computer Science, Engineering & Technology Description An account of the resource The rapid increase of cloud computing, high performance computing (HPC) and the vast growth in Internet and Social Media use have aroused the interest in energy consumption and the carbon footprint of Data Centres. Data Centres primarily contain electronic equipment used for data processing (servers), data storage (storage equipment), and communications (network equipment). Collectively, this equipment processes, stores, and transmits digital information and is known as information technology (IT) equipment. Advanced Concepts for Renewable Energy Supply of Data Centres introduces a number of technical solutions for the supply of power and cooling energy into Data Centres with enhanced utilisation of renewable energy sources in order to achieve low energy Data Centres. Because of the high energy density nature of these unique infrastructures, it is essential to implement energy efficiency measures and reduce consumption before introducing any renewable energy source. A holistic approach is used with the objective of integrating many technical solutions such as management of the IT (Information Technology) load, efficient electrical supply to the IT systems, Low-Ex air-conditioning systems, interaction with district heating and cooling networks, re-use of heat, free cooling (air, seawater, groundwater), optimal use of heat and cold storage, electrical storage and integration in smart grids. This book is therefore a catalogue of advanced technical concepts that could be integrated into Data Centres portfolio in order to increase the overall efficiency and the share of renewable energies in power and cooling supply. Based on dynamic energy models implemented in TRNSYS some concepts are deeply evaluated through yearly simulations. The results of the simulation are illustrated with Sankey charts, where the energy flows per year within the subsystems of each concept for a selected scenario are shown, and graphs showing the results of parametric analysis. A set of environmental metrics (as the non-renewable primary energy) and financial metrics (CAPEX and OPEX) as well of energy efficiency metrics like the well-known PUE, are described and used to evaluate the different technical concepts. Creator An entity primarily responsible for making the resource Jaume Salom, Thorsten Urbaneck, Eduard Oró Source A related resource from which the described resource is derived https://doi.org/10.1201/9781003336990 Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 1 September 2022 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC Relation A related resource https://doi.org/10.1201/9781003336990 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context ISBN 9781003336990 Computer Science Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/070b706eaa4a93e2ff70943e1e1264b8.jpg 83442d1588ece1b7c9c4dcf5432e4792 http://www.oer.unair.ac.id/files/original/1fca0bae1e25c41590f64715165c01de.pdf a614199bfb7a12a79b716a54eeee4496 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Industrial Artificial Intelligence Technologies and Applications Subject The topic of the resource Computer Science, Engineering & Technology Description An account of the resource The advances in industrial edge artificial intelligence (AI) are transforming the way industrial equipment and machines interact with the real world, with other machines and humans during manufacturing processes. These advances allow Industrial Internet of Things (IIoT) and edge devices to make decisions during the manufacturing processes using sensors and actuators. Digital transformation is reshaping the manufacturing industry, and industrial edge AI aims to combine the potential advantages of edge computing (low latency times, reduced bandwidth, distributed architecture, improved trustworthiness, etc.) with the benefits of AI (intelligent processing, predictive solutions, classification, reasoning, etc.). The industrial environments allow the deployment of highly distributed intelligent industrial applications in remote sites that require reliable connectivity over wireless and cellular connections. Intelligent connectivity combines IIoT, wireless/cellular and AI technologies to support new autonomous industrial applications by enabling AI capabilities at the edge and allowing manufacturing companies to improve operational efficiency and reduce risks and costs for industrial applications. There are several critical issues to consider when introducing AI to industrial IoT applications considering training AI models at the edge, the deployment of the AI-trained inferencing models on the target edge hardware platforms, and the benchmarking of solutions compared to other implementations. Next-generation trustworthy industrial AI systems offer dependability in terms of their design, transparency, explainability, verifiability, and standardised industrial solutions can be implemented in various applications across different industrial sectors. New AI techniques such as embedded machine learning (ML) and deep learning (DL), capture edge data, employ AI models, and deploy these in hardware target edge devices, from ultra-low-power microcontrollers to embedded devices, gateways, and on-premises servers for industrial applications. These techniques reduce latency, increase scalability, reliability, and resilience; and optimise wireless connectivity, greatly expanding the capabilities of the IIoT. This book provides an overview of the latest research results and activities in industrial AI technologies and applications, based on the innovative research, developments and ideas generated by the ECSEL JU AI4DI, ANDANTE and TEMPO projects. The authors describe industrial AI's challenges, the approaches adopted, and the main industrial systems and applications to give the reader extensive insight into the technical nature of this field. The chapters provide insightful material on industrial AI technologies and applications. This book is a valuable resource for researchers, post-graduate students, practitioners, and technoloyg developers interested in gaining insight into industrial edge AI, the IIoT, embedded machine and deep learning, new technologies, and solutions to advance intelligent processing at the edge. The Open Access version of this book, available at https://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non-Commercial (CC-BY-NC) 4.0 International License. Creator An entity primarily responsible for making the resource Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie Source A related resource from which the described resource is derived https://doi.org/10.1201/9781003377382 Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 11 September 2023 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC Relation A related resource https://doi.org/10.1201/9781003377382 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context ISBN 9781003377382 Computer Science http://www.oer.unair.ac.id/files/original/d2bd67a1049419ae14a5da76daf8cd12.jpg 2f08dd4916462bffae48cdee500afe89 http://www.oer.unair.ac.id/files/original/73b6794af7567f485c48d06f846f8d46.pdf fc34c64f0b6a15342db811e65419bd2e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Building Blocks for IoT Analytics Internet-of-Things Analytics Subject The topic of the resource Computer Science, Engineering & Technology Description An account of the resource Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizations to process and fully leverage large amounts of IoT data, which are nowadays largely underutilized. The Building Blocks of IoT Analytics is devoted to the presentation the main technology building blocks that comprise advanced IoT analytics systems. It introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications. Special emphasis is paid in the presentation of technologies for IoT streaming and semantic interoperability across diverse IoT streams. Furthermore, the role of cloud computing and BigData technologies in IoT analytics are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building blocks of IoT analytics systems and applications, the book presents a series of practical applications, which illustrate the use of these technologies in the scope of pragmatic applications. Technical topics discussed in the book include: Cloud Computing and BigData for IoT analyticsSearching the Internet of ThingsDevelopment Tools for IoT Analytics ApplicationsIoT Analytics-as-a-ServiceSemantic Modelling and Reasoning for IoT AnalyticsIoT analytics for Smart BuildingsIoT analytics for Smart CitiesOperationalization of IoT analyticsEthical aspects of IoT analyticsThis book contains both research oriented and applied articles on IoT analytics, including several articles reflecting work undertaken in the scope of recent European Commission funded projects in the scope of the FP7 and H2020 programmes. These articles present results of these projects on IoT analytics platforms and applications. Even though several articles have been contributed by different authors, they are structured in a well thought order that facilitates the reader either to follow the evolution of the book or to focus on specific topics depending on his/her background and interest in IoT and IoT analytics technologies. The compilation of these articles in this edited volume has been largely motivated by the close collaboration of the co-authors in the scope of working groups and IoT events organized by the Internet-of-Things Research Cluster (IERC), which is currently a part of EU's Alliance for Internet of Things Innovation (AIOTI). Creator An entity primarily responsible for making the resource John Soldatos Source A related resource from which the described resource is derived https://doi.org/10.1201/9781003337423 Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 1 September 2022 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC Relation A related resource https://doi.org/10.1201/9781003337423 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context ISBN 9781003337423 Computer Science Perpustakaan Unair http://www.oer.unair.ac.id/files/original/8ef8dd73971dbdea29fae82bdec2786a.jpg 9187a73952733a8cbc612e2b565613d1 http://www.oer.unair.ac.id/files/original/b4072a84d34865183daf03f47d42db86.pdf 084215b3209e41ed4c28b3829663f1e4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advancing IoT Platforms Interoperability Subject The topic of the resource Computer Science, Engineering & Technology Description An account of the resource The IoT European Platforms Initiative (IoT-EPI) projects are addressing the topic of Internet of Things and Platforms for Connected Smart Objects and aim to deliver an IoT extended into a web of platforms for connected devices and objects that supports smart environments, businesses, services and persons with dynamic and adaptive configuration capabilities. The specific areas of focus of the research activities are architectures and semantic interoperability, which reliably cover multiple use cases. The goal is to deliver dynamically-configured infrastructure and integration platforms for connected smart objects covering multiple technologies and multiple intelligent artefacts. The IoT-EPI ecosystem has been created with the objective of increasing the impact of the IoT-related European research and innovation, including seven European promising projects on IoT platforms: AGILE, BIG IoT, INTER-IoT, VICINITY, SymbIoTe, bIoTope, and TagItSmart.This white paper provides an insight regarding interoperability in the IoT platforms and ecosystems created and used by IoT-EPI. The scope of this document covers the interoperability aspects, challenges and approaches that cope with interoperability in the current existing IoT platforms and presents some insights regarding the future of interoperability in this context. It presents possible solutions, and a possible IoT interoperability platform architecture. Creator An entity primarily responsible for making the resource Ovidiu Vermesan Source A related resource from which the described resource is derived https://doi.org/10.1201/9781003337126 Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 1 September 2022 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC Relation A related resource https://doi.org/10.1201/9781003337126 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context ISBN 9781003337126 Computer Science Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/866c339f3aa0d393e268f82767efe644.jpg 1f4634118f922dbe1057fd53f5bb13d6 http://www.oer.unair.ac.id/files/original/b4f504b872a66cc496b6588cace0f4f4.pdf 7233190a7a31b42836fa2070f196d2d7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Engineering Agile Big-Data Systems Subject The topic of the resource Computer Science Description An account of the resource To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems. Creator An entity primarily responsible for making the resource Kevin Feeney, Jim Davies, James Welch Source A related resource from which the described resource is derived https://doi.org/10.1201/9781003338123 Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 1 September 2022 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC Relation A related resource https://doi.org/10.1201/9781003338123 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context ISBN 9781003338123 Computer Science Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/516ae43638a94cc30a79a6a004b3ba93.jpg 521265440b3ccbf9f3b7ef71d31974ad http://www.oer.unair.ac.id/files/original/39d27742bef333eaa8e37f91de2151cd.pdf eb2f770bbff6549b718d339235ab7a59 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Shaping the Future of IoT with Edge Intelligence : How Edge Computing Enables the Next Generation of IoT Applications Subject The topic of the resource Computer Science, Engineering & Technology Description An account of the resource This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions enable novel IoT-based decentralized intelligence use cases at the edge of the cloud/edge/IoT continuum. Emphasis is placed on presenting how these technologies support a wide array of functional and non-functional requirements spanning latency, performance, cybersecurity, data protection, real-time performance, energy efficiency, and more. The various chapters of the book are contributed by several EU-funded projects, which have recently developed novel IoT platforms that enable the development and deployment of edge intelligence applications based on the cloud/edge paradigm. Each one of the projects employs its own approach and uses a different mix of networking, middleware, and IoT technologies. Therefore, each of the chapters of the book contributes a unique perspective on the capabilities of enabling technologies and their integration in practical real-life applications in different sectors. The book is structured in five distinct parts. Each one of the first four parts focuses on a specific set of enabling technologies for edge intelligence and smart IoT applications in the cloud/edge/IoT continuum. Furthermore, the fifth part provides information about complementary aspects of next-generation IoT technology, including information about business models and IoT skills. Specifically: The first part focuses on 5G/6G networking technologies and their roles in implementing edge intelligence applications. The second part presents IoT applications that employ machine learning and other forms of Artificial Intelligence at the edge of the network. The third part illustrates decentralized IoT applications based on distributed ledger technologies. The fourth part is devoted to the presentation of novel IoT applications and use cases spanning the cloud/edge/IoT continuum. The fifth part discusses complementary aspects of IoT technologies, including business models and digital skills. The Open Access version of this book, available at https://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non-Commercial (CC-BY-NC)] 4.0 license. Creator An entity primarily responsible for making the resource Rute C. Sofia, John Soldatos (Editor) Source A related resource from which the described resource is derived https://doi.org/10.1201/9781032632407 Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 8 January 2024 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context ISBN 9781032632407 Computer Science Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/6fd4982d0aa938892ab2d81641d4640b.jpg 1b460988266317306525d90ffaa837a4 http://www.oer.unair.ac.id/files/original/8ec18106dfba1a7d05f006acb97c5ab9.pdf 7bf9078a70d74f877b4e10472a090ad9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Dynamics of Industrial Revolution 4.0: Digital Technology Transformation and Cultural Evolution Proceedings of the 7th Bandung Creative Movement International Conference on Creative Industries (7th BCM 2020), Bandung, Indonesia, 12th November 2020 Subject The topic of the resource Arts, Behavioral Sciences, Computer Science, Engineering & Technology, Information Science Description An account of the resource The 7th Bandung Creative Movement conference presented the theme "Dynamics of Industrial Revolution 4.0" which discussed how the digital world and connectivity changed human culture in various aspects of life, and transformed in accordance to human needs and social culture. Digital technology has transformed society to serve people from manufacturing needs to smart cities, from network connectivity to people connectivity. The application of information technology has helped in improving live quality and environmental sustainability. Digital transformation is revolutionizing how businesses and workers interconnect to be more productive and efficient. The result is improved collaboration, faster processes and time-to-market, lower costs and better products. Devices are getting smarter, meaning they are able to perform more and more tasks without human intervention; moreover, these devices generate data that provide insights to further improve processes and gain greater efficiencies. Moreover, with the Internet of Things (IoT), all these smart devices are interconnected in ways that not only help make them even smarter, but also enhances the intelligence of the overall system. Digital technology is a formidable driver for the transformation of a highly carbon-dependent world into one that is more ecologically ‘smart.’ We are entering a new era of environmental innovation that is driving better alignment between technology and environmental goals. Since its first announcement in 2011, industrial revolution 4.0 has dynamically changed and transformed to adjust itself to the human needs and to serve more efficiency and effectiveness of everyday life as well as environmental enhancement. The 7th Bandung Creative Movement has brought forward discussions on dynamic changes, ups and downs, innovations, relations of industrial revolution of the internet of thing, data, automation, to human physical world, new art and aesthetic, business, product innovation, built environment, and education. Creator An entity primarily responsible for making the resource Ratri Wulandari, Idhar Resmadi, Vika Haristianti, Rahmiati Aulia, Riky Taufik Afif, Gema Ari Prahara, Aulia Ibrahim Yeru (Editor) Source A related resource from which the described resource is derived Routledge Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 26 August 2021 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC-ND Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbook Computer Science Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/047cfc0709c22f18b47efedcbc733797.jpg 7aa05f716d56e79b27323507303fe32d http://www.oer.unair.ac.id/files/original/c7702dfde4c416ffe3fd97cc6eb5fc76.pdf e81e935a9965409ba756277e44a6e762 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Adaptive Middleware for the Internet of Things Subject The topic of the resource Computer Science Description An account of the resource Over the past years, a considerable amount of effort has been devoted, both in industry and academia, towards the development of basic technology as well as innovative applications for the Internet of Things. Adaptive Middleware for the Internet of Things introduces a scalable, interoperable and privacy-preserving approach to realize IoT applications and discusses abstractions and mechanisms at the middleware level that simplify the realization of services that can adapt autonomously to the behavior of their users. Technical topics discussed in the book include:Behavior-driven Autonomous ServicesGAMBAS Middleware ArchitectureGeneric and Efficient Data AcquisitionInteroperable and Scalable Data ProcessingAutomated Privacy PreservationAdaptive Middleware for the Internet of Things summarizes the results of the GAMBAS research project funded by the European Commission under Framework Programme 7. It provides an in-depth description of the middleware system developed by the project consortium. In addition, the book describes several innovative mobility and monitoring applications that have been built, deployed and operated to evaluate the middleware under realistic conditions with a large number of users. Adaptive Middleware for the Internet of Things is ideal for personnel in the computer and communication industries as well as academic staff and research students in computer science interested in the development of systems and applications for the Internet of Things Creator An entity primarily responsible for making the resource Marcus Handte, Pedro José Marrón, Gregor Schiele, Matoses Manuel Serrano Source A related resource from which the described resource is derived https://doi.org/10.1201/9781003336952 Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 1 September 2022 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC-ND Relation A related resource https://doi.org/10.1201/9781003336952 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbook Computer Science Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/c4c557a1db59dd314b474acf6bf50bee.jpg f6f1999abc75e34a65e477c57279f795 http://www.oer.unair.ac.id/files/original/74a2822e0768ded16c0710775e46e28e.pdf 0db1ecbd1e49bab261d7776325b0ce25 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advances in Intelligent Robotics and Collaborative Automation Subject The topic of the resource Computer Science, Engineering & Technology Description An account of the resource This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them.The contributions of the different authors have been grouped into four main sections:• Robots• Control and Intelligence• Sensing• Collaborative automationThe chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. Creator An entity primarily responsible for making the resource Richard Duro, Yuriy Kondratenko (editor) Source A related resource from which the described resource is derived River Publishers Publisher An entity responsible for making the resource available River Publishers Date A point or period of time associated with an event in the lifecycle of the resource 1 September 2022 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource Creative Commons, CC BY-NC Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context ISBN 9781003337119 Computer Science Perpustakaan Universitas Airlangga robotics