Converged communications : Evolution from telephony to 5G mobile internet
The central theme of the book is to build deeper understanding about incremental technological progress by introducing both state of the art and their predecessor technologies. The book explores four main areas, including fixed telephone systems, data communication systems, mobile cellular systems, and IP multimedia systems. It clearly explains architectures, protocols, and functional procedures, and discusses a variety of topics ranging from physical layer processes to system level interactions. Converged Communications offers: In-depth treatments of fixed telephone and transmission systems, including operation of telephone exchanges and signaling systems Comprehensive explorations of data communication systems, including transmission of data over telephone lines and data network technologies, such as Ethernet and TCP/IP Incisive discussions of mobile cellular systems, including GSM, 3G, LTE, VoLTE and 5G Insightful analysis of incremental system evolution to justify various design choices made The book is supported with extensive online appendices, which covers communication system concepts, an overview of standardization, various technologies used in the past, state-of-the art technologies such as WLAN, cable modems, and FTTx, complementing the other systems described in the book which have evolved from the fixed telephone network.
كتب مشابهة
New challenges in software engineering ; Vol 1
Explores the key challenges shaping the future of software development, including automation, AI-driven development, security-focused engineering, resilient and autonomous architectures, business process optimization, cloud computing, microservices, high-performance distributed systems, and sustainable technologies. Software engineering is undergoing a constant transformation, driven by rapid technological advances and evolving market demands. additionally, it delves into the ethical considerations of AI, the evolution of intuitive user interfaces, and the importance of multidisciplinary collaboration.
Fundamentals of manufacturing engineering using digital visualization
Offers a guide to core principles and practices of manufacturing engineering. It covers the design of, together with technological and measurement issues for, technical systems. Locating charts and setup schemes describing different machining processes are included. Concepts of product quality, with a focus on accuracy indicators, machining accuracy, roughness, and the impact of surface quality on exploitation properties are also explained. Furthermore, key machining methods, including turning, milling, hole machining, grinding, and gear machining, are analyzed in depth, covering their principles, applications, and techniques. The book is enriched by QR codes, linking to a mobile application presenting additional information about the content, for an interactive and extended learning experience. It also uses illustrations visualized with digital tools to promote a better understanding of the concepts.
AI in drug discovery
Constitutes the refereed proceedings of the First international workshop on ai in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
AI in banking : Practical applications and case studies
Delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. it provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, bayesian networks, edge computing, and more. this book stands as a rare and practical guide to AI projects in the banking industry.
