System Software
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System Software
Author: Dr. Manjula
language: en
Publisher: OrangeBooks Publication
Release Date: 2022-06-26
This text is an introduction to the design and implementation of various types of system software. A central theme of the book is the relationship between machine architecture and systems software. This book contents based on Anna University and Deemed University and exampled based designed. This book contains a wide selection of examples and exercises which are all optional, providing flexibility to instructors by allowing them to concentrate on the software and architecture they want to cover.
Real-Time and Embedded Computing Systems and Applications
Author: Jing Chen
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-05-21
This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Real-Time and Embedded Systems and Applications, RTCSA 2003, held in Tainan, Taiwan, in February 2003. The 28 revised full papers and 9 revised short papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on scheduling, networking and communication, embedded systems and environments, pervasive and ubiquitous computing, systems and architectures, resource management, file systems and databases, performance analysis, and tools and development.
AI Factory
This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI technologies and their interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors. Features: Presents a compendium of methodologies and technologies in industrial AI and digitalisation. Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation. Covers a broad range of academic and industrial issues within the field of asset management. Discusses the impact of Industry 4.0 in other sectors. Includes a dedicated chapter on real-time case studies. This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and machine learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.