Xiao Feng – författare

Industrial Water Conservation: Systematic Design Tools and Case Studies offers fundamental knowledge of various established process integration tools for water conservation, including water pinch analysis and mathematical programming techniques. The book provides a demonstration of water conservation tools on various industrial case studies, enabling readers to learn how these methods can be implemented in actual industrial settings. Part A provides various systematic methods on water recovery system design based on process integration techniques, whereas Part B provides various industrial case studies covering the success stories of the implementation of the methods covered in Part A.This is an indispensable resource for practitioners in various industrial sectors - chemicals and petrochemicals, pulp and paper, food and beverage, textile, etc., consultants in water-related industries, as well as (post)-graduate students in chemical engineering.

He was the instructor of a mysterious troop and the number one soldier that all forces feared when he returned to the city and the dragons entered the sea he was also a prodigal who had fallen into the trap of millions of young ladies.

He was the instructor of a mysterious troop and the number one soldier that all forces feared when he returned to the city and the dragons entered the sea he was also a prodigal who had fallen into the trap of millions of young ladies.

This book delves into a wide array of topics, ranging from memristor and its emulator to chaotic circuits based on memristor, memristor-based en/decryption systems, filter design based on memristive family, memristive filter for signal processing, memristor network-based swarm intelligence, dynamic analysis of memristive neural networks, and the application of memristor-based neural networks. It provides a comprehensive and systematic exploration of how memristors empower and drive cutting-edge research in neuromorphic computing and artificial intelligence. This book encourages fostering interdisciplinary information literacy and cultivating cross-disciplinary computational thinking. This book plays a pivotal role in embracing and advancing the development of neuromorphic computing. Through profound foundational theories and academic analysis methods, this book guides artificial intelligence graduate students and engineering professionals in constructing a comprehensive knowledge and technological framework for memristor research.