Dataarkitektur og logisk design

This book constitutes the proceedings of the 18th International Workshop on OpenMP, IWOMP 2022, held in Chattanooga, TN, USA, in September 2022.The 11 full papers presented in this volume were carefully reviewed and selected for inclusion in this book from the 13 submissions. The papers are organized in topical sections named: OpenMP and multiple nodes; exploring new and recent OpenMP extensions; effectie use of advanced heterogeneous node architectures; OpenMP tool support; OpenMP and multiple translation units.Chapter "e;Improving Tool Support for Nested Parallel Regions with Introspection Consistency"e; is publshed Open Access and licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

This book constitutes the proceedings of the 33rd International Conference on Parallel and Distributed Computing, Euro-Par 2022, held in GLasgow, UK, in August 2022.The 25 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The conference Euro-Par 2022 covers all aspects of parallel and distributed computing, ranging from theory to practice, scaling from the smallestto the largest parallel and distributed systems, from fundamental computational problems and models to full-fledged applications, from architecture and interface design and implementation to tools, infrastructures and applications.  

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0.Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 discusses how to develop adaptive, robust, scalable, and reliable applications that can be used in solutions for day-to-day problems. It focuses on the two frontiers - Big Data and Cloud Computing - and reviews the advantages and consequences of utilizing Cloud Computing to tackle Big Data issues within the manufacturing and production sector as part of Industry 4.0. The book unites some of the top Big Data experts throughout the world who contribute their knowledge and expertise on the different aspects, approaches, and concepts related to new technologies and novel findings. Based on the latest technologies, the book offers case studies and covers the major challenges, issues, and advances in Big Data and Cloud Computing for Industry 4.0.By exploring the basic and high-level concepts, this book serves as a guide for those in the industry, while also helping beginners and more advanced learners understand both basic and more complex aspects of the synergy between Big Data and Cloud Computing.

This book presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. The book presents current research on various applications of machine learning and discusses optimization techniques to solve real-life problems.

This volume addresses the current state-of-the art in nanoelectronic technologies and presents potential options for next-generation ICs. It will be useful reference guide for researchers, engineers, and advanced students working in the frontier areas of design and modeling of nanoelectronic devices.

This book focuses on both the design and implementation of AI-based approaches for systems that aid in monitoring and combating pandemics such as occurred with COVID-19. These systems are based on the Internet of Medical Things (IoMT), using sensor networks and other advanced technologies. The book examines different aspects of AI and IoMT.

The concept of "smart city" is used widely in general however, it is hard to explain because of the complexity and multidimensionality of this notion. In this context, we aim to contribute literature with a value-added approach where different AI applications of smart cities are discussed from different perspective.

The concept of a "smart city" is used widely in general; however, it is hard to explain because of the complexity and multidimensionality of this notion. However, the essential qualification for being a smart city is to achieve "sustainable social, environmental, and economic development" and boost the living standards of society based on Information and Communication Technology (ICT) and Artificial intelligence (AI). AI in smart cities has become an important aspect for cities that face great challenges to make smart decisions for social well-being, particularly cybersecurity and corporate sustainability. In this context, we aim to contribute literature with a value-added approach where various AI applications of smart cities are discussed from a different perspective. First, we start by discussing the conceptual design, modeling, and determination of components for the sustainability of a smart city structure. Since smart cities operate on spatial-based data, it is important to design, operate, and manage smart city elements using Geographical Information Systems (GIS) technologies. Second, we define the structure, type, unit, and functionality of the layers to be placed on the GIS to achieve best practices based on Industry 4.0 components. Transportation is one of the key indicators of smart cities, so it is critical to make transportation in smart cities accessible for different disabled groups by using AI technologies. Third, we demonstrate what kinds of technologies should be used for which disabled groups in different transportation vehicles with specific examples. Finally, we create a discussion platform for processes and sub-processes such as waste management, emergency management, risk management, and data management for establishing smart cities including the financial and ethical aspects.

This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image processing related problems in real-life situation.

This critical and forward-looking book features:An assessment of the impact of Internet of Things (IoT) on the telecom industry's revenue streamsIoT-based business models in the telecom industryA PESTLE (political, economic, socio-cultural, technological, legal, and environmental) analysis of the industry in relation to IoTKey technological drivers. It also features a case study of Bell Canada Enterprises (BCE) Inc., which highlights IoT-based business models in the industry. The study reveals that telecom operators have started implementing IoT projects, however, true revenue streams are yet to materialize. Ten IoT-based business models have been identified at BCE Inc. The book points out that operators do leverage existing infrastructure in terms of broadband fiber and mobile connectivity in part and resort to partnerships and acquisitions to acquire much-needed knowledge, technology, and smart devices. Concerning the effect of IoT on the telecoms' revenue streams, it was revealed that new entrants, who are not necessarily in the telecom industry, have impacted the old players' revenue streams. OTT services like YouTube, WhatsApp, IPTV, Netflix, are the biggest culprits. Seven key technological drivers for IoT have been identified and include widespread wireless connectivity, the availability and affordability of microcontrollers, sensors and actuators, the decreasing cost of bandwidth, the recent implementation of IPv6, and the ongoing development of 5G network, as well as the use of cloud computing and analytics. Finally, the PESTLE analysis of the industry shows that the lack of a comprehensive political and regulatory framework still slows down IoT deployment. Interoperability, security, and privacy concerns are other constraints. Conversely, general economic conditions in most developed and developing economies are favorable to the advancement of IoT technology. Governments are willing to subsidize R&D and have partnered with the private sector to speed up the roll-out process.

This book introduces electrical machine modeling and control for electrical engineering and science to graduate, undergraduate students as well as researchers, who are working on modeling and control of electrical machines. It targets electrical engineering students who have no time to derive mathematical equations for electrical machines in particular induction machine (IM) and doubly fed induction machines (DFIM).The main focus is on the application of field oriented control technique to induction motor (IM) and doubly fed induction motor (DFIM) in details, and since the induction motors have many drawback using this technique, therefore the application of a nonlinear control technique (feedback linearization) is applied to a reduced order model of DFIM to enhance the performance of doubly fed induction motor.FeaturesServes as text book for electrical motor modeling, simulation and control; especially modeling of induction motor and doubly fed induction motor using different frame of references.Vector control (field oriented control) is given in more detailed, and is applied to induction motor.A nonlinear controller is applied to a reduced model of an doubly induction motor associated with a linear observer to estimate the unmeasured load torque, which is used to enhance the performance of the vector control to doubly fed induction motor.Access to the full MATLAB/SIMULINK blocks for simulation and control.

The engineering advances started in the second half of the 20th century have created an avalanche of new technology. Control and use of that technology require, among many things, effective computational methods for logic. This book proposes one such method. It makes use of a theory of logic computation based on matroid theory, in particular matroid decomposition. Main features of the theory are an extension of propositional logic, an analysis of logic formulas via combinatorial structures, and a construction of logic solution algorithms based on that analysis. The results have been implemented in a software system for logic programming called the Leibniz System.