Yu-Chu Tian – författare

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

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

Designed for undergraduate and postgraduate students, academic researchers and industrial practitioners, this book provides comprehensive case studies on numerical computing of industrial processes and step-by-step procedures for conducting industrial computing. It assumes minimal knowledge in numerical computing and computer programming, making it easy to read, understand and follow. Topics discussed include fundamentals of industrial computing, finite difference methods, the Wavelet-Collocation Method, the Wavelet-Galerkin Method, High Resolution Methods, and comparative studies of various methods. These are discussed using examples of carefully selected models from real processes of industrial significance. The step-by-step procedures in all these case studies can be easily applied to other industrial processes without a need for major changes. Thus, they provide readers with useful frameworks for the applications of engineering computing in fundamental research problems and practical development scenarios.

The Scale of Language confronts a defining challenge of the GenAI era: the accelerating volume of machine generated text, produced with statistical smoothness and at unprecedented speed, creates a structural risk of linguistic homogenization. The danger is not scarcity but semantic drift, conceptual opacity, the erosion of reasoning visibility, and a loss of expressive depth. Evaluating linguistic quality therefore becomes essential for preserving clarity, meaning, interpretive reliability, and ultimately the human sovereignty over language. This book develops a principled pathway for meeting that challenge by integrating cognitive adequacy with statistical coherence through a dual foundation architecture. It introduces PhilEntropy, grounded in cognitive linguistic entropy, to capture the depth, relevance, and interpretive structure of human meaning, and LogiEntropy to characterize the distributional and structural regularities that statistical systems produce. Their integration forms the Linguistic Entropy Quotient (LEQ), a three layer evaluative framework that unifies perception, interpretation, and expression into a coherent measure of linguistic quality, including an expression spectrum that differentiates levels of linguistic quality. Through this architecture, the book provides a foundation for understanding how language functions across scientific writing, education, governance, and other domains where conceptual rigor is essential. It is written for researchers, educators, scientific writers, AI practitioners, and interdisciplinary scholars seeking a rigorous and actionable framework for evaluating linguistic quality in contexts where human and generative systems increasingly operate within shared expressive environments.

This book covers network analysis and architecture for large-scale computer network planning. Networks and the Internet are essential for modern industries and societies. Building a new network, upgrading an existing network, or planning to use a public network requires integrating various network mechanisms and technologies in a cohesive fashion. This demands a deep understanding of the concepts, principles, processes, approaches, and good practices of advanced network planning. More specifically, emphasizing service-based networking, the book introduces structured processes for network planning, provides systematic approaches for network analysis and architecture, develops network planning specifications, and discusses high-level network architectural models from various perspectives. It also offers detailed discussions on component-based architecture about addressing, routing, performance, management, and security and privacy. Recent developments in data centers, virtualization,and cloud are also embedded into the network architecture. Moreover, the book includes a comprehensive introduction to building practical TCP/IP network communications via sockets with practical examples. The book is suitable for use as a textbook for senior undergraduate and postgraduate students or as a reference book for network practitioners looking to develop or enhance their skills in network planning.