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Author: IEEE Staff Publisher: ISBN: 9781728184678 Category : Languages : en Pages :
Book Description
The RSP workshop considers prototyping as an iterative design approach for embedded hardware and software systems The RSP series of symposium aims at bridging the gap among embedded design tools and processes, engineering methods, processes & tools, to achieve the rapid system prototyping of actual software and hardware systems
Author: IEEE Staff Publisher: ISBN: 9781728184678 Category : Languages : en Pages :
Book Description
The RSP workshop considers prototyping as an iterative design approach for embedded hardware and software systems The RSP series of symposium aims at bridging the gap among embedded design tools and processes, engineering methods, processes & tools, to achieve the rapid system prototyping of actual software and hardware systems
Author: Ricardo Chaves Publisher: Springer Nature ISBN: 303106156X Category : Computers Languages : en Pages : 568
Book Description
This book constitutes revised selected papers from the workshops held at the 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, which took place in Portugal, in August 2021. The workshops were held virtually due to the coronavirus pandemic. The 39 full papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.
Author: Xiaolin Jiang Publisher: Springer Nature ISBN: 3031302370 Category : Computers Languages : en Pages : 193
Book Description
This book constitutes the refereed post-conference proceedings of the 7th International Conference on Machine Learning and Intelligent Computing which was held in October 2022 in Jinhua, China. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers of MLICOM 2022 were selected from 41 submissions and are clustered in thematical issues on applications of neural network and deep learning; intelligent massive MIMO communications; machine learning algorithms and intelligent networks.
Author: Fernando Rincón Publisher: Springer Nature ISBN: 3030445348 Category : Computers Languages : en Pages : 408
Book Description
This book constitutes the proceedings of the 16th International Symposium on Applied Reconfigurable Computing, ARC 2020, held in Toledo, Spain, in April 2020. The 18 full papers and 11 poster presentations presented in this volume were carefully reviewed and selected from 40 submissions. The papers are organized in the following topical sections: design methods & tools; design space exploration & estimation techniques; high-level synthesis; architectures; applications.
Author: Publisher: John Wiley & Sons ISBN: 1119818389 Category : Computers Languages : en Pages : 272
Book Description
A Multi-Processor System-on-Chip (MPSoC) is the key component for complex applications. These applications put huge pressure on memory, communication devices and computing units. This book, presented in two volumes – Architectures and Applications – therefore celebrates the 20th anniversary of MPSoC, an interdisciplinary forum that focuses on multi-core and multi-processor hardware and software systems. It is this interdisciplinarity which has led to MPSoC bringing together experts in these fields from around the world, over the last two decades. Multi-Processor System-on-Chip 2 covers application-specific MPSoC design, including compilers and architecture exploration. This second volume describes optimization methods, tools to optimize and port specific applications on MPSoC architectures. Details on compilation, power consumption and wireless communication are also presented, as well as examples of modeling frameworks and CAD tools. Explanations of specific platforms for automotive and real-time computing are also included.
Author: Management Association, Information Resources Publisher: IGI Global ISBN: 1668436671 Category : Technology & Engineering Languages : en Pages : 1480
Book Description
Smart grid and microgrid technology are growing exponentially as they are adopted throughout the world. These new technologies have revolutionized the way electricity is produced, delivered, and consumed, and offer a plethora of benefits as well as the potential for further growth. It is critical to examine the current stage of smart grid and microgrid development as well as the direction they are headed as they continue to expand in order to ensure that cost-effective, reliable, and efficient systems are put in place. The Research Anthology on Smart Grid and Microgrid Development is an all-encompassing reference source of the latest innovations and trends within smart grid and microgrid development. Detailing benefits, challenges, and opportunities, it is a crucial resource to fully understand the current opportunities that smart grids and microgrids present around the world. Covering a wide range of topics such as traditional grids, future smart grids, electrical distribution systems, and microgrid integration, it is ideal for engineers, policymakers, systems developers, technologists, researchers, government officials, academicians, environmental groups, regulators, utilities specialists, industry professionals, and students.
Author: Antonio Cerone Publisher: Springer Nature ISBN: 3031124294 Category : Computers Languages : en Pages : 355
Book Description
This volume constitutes revised selected papers from the four workshops collocated with the 19th International Conference on Software Engineering and Formal Methods, SEFM 2021, held virtually during December 6–10, 2021. The 21 contributed papers presented in this volume were carefully reviewed and selected from a total of 29 submissions. The book also contains 3 invited talks. SEFM 2021 presents the following four workshops: CIFMA 2021 - 3rd International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications;CoSim-CPS 2021 - 5th Workshop on Formal Co-Simulation of Cyber-Physical Systems;OpenCERT 2021 - 10th International Workshop on Open Community approaches to Education, Research and Technology;ASYDE 2021 - 3rd International Workshop on Automated and verifiable Software sYstem Development. Due to the Corona pandemic this event was held virtually.
Author: Saideep Tiku Publisher: Springer Nature ISBN: 3031267125 Category : Technology & Engineering Languages : en Pages : 563
Book Description
While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve the accuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book: Provides comprehensive coverage of the application of machine learning to the domain of indoor localization; Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization; Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions.
Author: IEEE Staff
Author: IEEE Staff
Author: 
Author: Ricardo Chaves
Author: Xiaolin Jiang
Author: Fernando Rincón
Author: 
Author: Management Association, Information Resources
Author: Antonio Cerone
Author: Saideep Tiku
Author: Mark Tehranipoor