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Author: IEEE Staff Publisher: ISBN: 9781665453455 Category : Languages : en Pages : 0
Book Description
The RTCSA conference series brings together researchers and developers from academia and industry for advancing the technology and the theory to design and develop time sensitive applications All traditional applications in which temporal aspects need to be considered are in the scope of the conference CPS, (Industrial) IoT, embedded systems, fog edge cloud computing are just notable examples RTCSA welcomes both research and industrial papers that describe research or technical aspects in the area of embedded and real time systems Proceedings will be published by the IEEE Computer Society on IEEExplore and will be indexed by most search engines including Scopus, Web of Science, DBLP
Author: IEEE Staff Publisher: ISBN: 9781665453455 Category : Languages : en Pages : 0
Book Description
The RTCSA conference series brings together researchers and developers from academia and industry for advancing the technology and the theory to design and develop time sensitive applications All traditional applications in which temporal aspects need to be considered are in the scope of the conference CPS, (Industrial) IoT, embedded systems, fog edge cloud computing are just notable examples RTCSA welcomes both research and industrial papers that describe research or technical aspects in the area of embedded and real time systems Proceedings will be published by the IEEE Computer Society on IEEExplore and will be indexed by most search engines including Scopus, Web of Science, DBLP
Author: Alex Orailoglu Publisher: Springer Nature ISBN: 3031150740 Category : Computers Languages : en Pages : 435
Book Description
This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 21 full papers presented in this volume were carefully reviewed and selected from 44 submissions. The papers are organized in topics as follows: High level synthesis; memory systems; processor architecture; embedded software systems and beyond; deep learning optimization; extra-functional property estimation; innovative architectures and tools for security; european research projects on digital systems, services, and platforms.
Author: Cristina Silvano Publisher: Springer Nature ISBN: 3031460774 Category : Computers Languages : en Pages : 504
Book Description
This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 11 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. The conference covers a wide range of embedded systems design aspects, including machine learning accelerators, and power management and programmable dataflow systems.
Author: Yu-Chu Tian Publisher: Springer Nature ISBN: 9812872515 Category : Technology & Engineering Languages : en Pages : 1511
Book Description
The aim of this handbook is to summarize the recent rapidly developed real-time computing technologies, from theories to applications. This handbook benefits the readers as a full and quick technical reference with a high-level historic review of technology, detailed technical descriptions and the latest practical applications. In general, the handbook is divided into three main parts (subjected to be modified): theory, design, and application covering different but not limited to the following topics: - Real-time operating systems - Real-time scheduling - Timing analysis - Programming languages and run-time systems - Middleware systems - Design and analysis tools - Real-time aspects of wireless sensor networks - Energy aware real-time methods
Author: Mudhakar Srivatsa Publisher: Springer Nature ISBN: 3031407873 Category : Technology & Engineering Languages : en Pages : 373
Book Description
It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed the landscape of science in many application domains, ranging from health to defense and from conversational interfaces to autonomous cars. With terms such as “Google Home”, “Alexa”, and “ChatGPT” becoming household names, the pervasive societal impact of AI is clear. Advances in AI promise a revolution in our interaction with the physical world, a domain where computational intelligence has always been envisioned as a transformative force toward a better tomorrow. Depending on the application family, this domain is often referred to as Ubiquitous Computing, Cyber-Physical Computing, or the Internet of Things. The underlying vision is driven by the proliferation of cheap embedded computing hardware that can be integrated easily into myriads of everyday devices from consumer electronics, such as personal wearables and smart household appliances, to city infrastructure and industrial process control systems. One common trait across these applications is that the data that the application operates on come directly (typically via sensors) from the physical world. Thus, from the perspective of communication network infrastructure, the data originate at the network edge. From a performance standpoint, there is an argument to be made that such data should be processed at the point of collection. Hence, a need arises for Edge AI -- a genre of AI where the inference, and sometimes even the training, are performed at the point of need, meaning at the edge where the data originate. The book is broken down into three parts: core problems, distributed problems, and other cross-cutting issues. It explores the challenges arising in Edge AI contexts. Some of these challenges (such as neural network model reduction to fit resource-constrained hardware) are unique to the edge environment. They need a novel category of solutions that do not parallel more typical concerns in mainstream AI. Others are adaptations of mainstream AI challenges to the edge space. An example is overcoming the cost of data labeling. The labeling problem is pervasive, but its solution in the IoT application context is different from other contexts. This book is not a survey of the state of the art. With thousands of publications appearing in AI every year, such a survey is doomed to be incomplete on arrival. It is also not a comprehensive coverage of all the problems in the space of Edge AI. Different applications pose different challenges, and a more comprehensive coverage should be more application specific. Instead, this book covers some of the more endemic challenges across the range of IoT/CPS applications. To offer coverage in some depth, we opt to cover mainly one or a few representative solutions for each of these endemic challenges in sufficient detail, rather that broadly touching on all relevant prior work. The underlying philosophy is one of illustrating by example. The solutions are curated to offer insight into a way of thinking that characterizes Edge AI research and distinguishes its solutions from their more mainstream counterparts.
Author: Qi Liu Publisher: Springer Nature ISBN: 9811969019 Category : Technology & Engineering Languages : en Pages : 1506
Book Description
This conference proceeding is a collection of the papers accepted by the CENet2022 – the 12th International Conference on Computer Engineering and Networks held on November 4-7, 2022 in Haikou, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.
Author: IEEE Staff
Author: IEEE Staff
Author: 
Author: 
Author: Alex Orailoglu
Author: Cristina Silvano
Author: Yu-Chu Tian
Author: Geoffrey Nelissen
Author: IEEE Staff
Author: Mudhakar Srivatsa
Author: Qi Liu