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Carbohydrate Building Blocks

Bols delivers an original and effective presentation that unravels secrets from carbohydrate chemistry. He specifically describes which carbohydrates are best used in Synthesis and how to obtain them. The first half of this indispensable reference contains a dictionary-like list of compounds that can be prepared in a few steps from commercially cheap carbohydrates. The latter section describes which carbohydrates are commercially and inexpensively available along with the chemistry that can be used to convert them into useful building blocks.

This exciting new material is presented in pictorial dictionary form to facilitate the easy identification and selection of useful compounds. This invaluable guide places the entire field of carbohydrate building blocks at your fingertips.

Introduction to Qualitative Research Methods

The Search for Meanings

This is a book on how to conduct qualitative research and should provide those unfamiliar with qualitative methods with an adequate introduction, an overview of the range of different approaches, and guidance on how to conduct a study.

This is a book on how to conduct qualitative research and should provide those unfamiliar with qualitative methods with an adequate introduction, an overview of the range of different approaches, and guidance on how to conduct a study.

Knowledge-Based Risk Management in Engineering

A Case Study in Human-Computer Cooperative Systems

Based on the author's ten years of research, development, and implementation of knowledge-based systems for project risk management, this book addresses the application of artificial intelligence (AI) to management, and attempts to attain a new level of AI and risk management for large construction projects. It presents a new concept--a human-computer cooperative system--as the next generation knowledge-based system for application to ill-structured management fields. The human-computer cooperative system incorporates human intuitive abilities into the computer system. A case study is used involving a risk management case for large construction projects with the resulting discussions and methods applicable to other management fields as well.

Based on the author's ten years of research, development, and implementation of knowledge-based systems for project risk management, this book addresses the application of artificial intelligence (AI) to management, and attempts to attain a ...

Fuzzy Logic for the Management of Uncertainty

Fuzzy systems are mathematically based systems that enable computers to handle vague, imprecise, or ambiguous information. Edited by two of the top names in this field and written by a team of international experts, here is the most up-to-date and complete compilation of articles in fuzzy logic research. All chapters are original works prepared specifically for this volume, including articles on applications and tools. Fuzzy Logic for the Management of Uncertainty covers many important topics, including: Developments in mathematics that have paved the road for fuzzy logic; Deep, and of a broad perspective, exposition of virtually all approaches used in contemporary science for the representation and handling of imperfect (uncertain, imprecise, vague, ambiguous, etc.) information; Coverage of practically all relevant and promising directions and approaches in fuzzy logic research including LT--fuzzy logic, model theoretic approaches, intuitionistic fuzzy logic, nonmonotonic fuzzy logic, modifier fuzzy logic; VLSI fuzzy logic-based chips that have triggered the implementation of fuzzy logic in so many fields of science and technology; A broad coverage of fuzzy logic in approximate reasoning, including basic issues related to the role of fuzzy logic for approximate reasoning, analyses of various definitions of fuzzy implication that is a crucial element in fuzzy logic-based reasoning schemes, general issues related to reasoning and inference based on fuzzy logic, inconsistencies and explanations in imprecise reasoning and databases; Use of fuzzy logic for knowledge representation, including the use of fuzzy relations, fuzzy linguistic modifiers, etc.; Use of fuzzy logic for knowledge acquisition and elicitation, mainly for machine learning; Use of fuzzy logic for the modelling of neurons and neural networks; Use of fuzzy logic for the development of fuzzified higher level computer languages, notably for the fuzzification of LISP; Use of fuzzy logic for the management of uncertainty in implemented knowledge-based systems; Use of fuzzy logic for the validation of knowledge-based systems; Use of fuzzy logic in intelligent database management systems.

Broadband Packet Switching Technologies

A Practical Guide to ATM Switches and IP Routers

The effective design of high-speed, reliable switching systems is essential for moving the huge volumes of traffic and multimedia over modern communications networks. This book explains all the main packet-switching architectures, including all theoretical and practical topics relevant to the design and management of high-speed networks. Delivering the most systematic coverage available of the subject, the authors interweave fundamental concepts with real-world applications and include engineering case studies from wireless and fiber-optic communications. Market: Hardware and Software Engineers in the telecommunication industry, System Engineers, and Technicians.

This book explains all the main packet-switching architectures, including all theoretical and practical topics relevant to the design and management of high-speed networks.