Fundamentals of Membrane Separation Technology provides a comprehensive and systematic introduction to this environmentally-friendly separation process. Using a structured format that promotes comprehension and implementation, each chapter provides overviews, principles, materials, preparation, and industrial applications. Each chapter then concludes with future prospects, references, and end-of-chapter exercises. Written for students and professionals, this book is an ideal reference for those who wish to better understand the fundamentals and applications of membrane technology.

Fundamentals of Membrane Separation Technology

Science & Math

Wang, Zhan

Earth Sciences

Elsevier

Innovation is the key to the development of high-tech enterprises. As an indispensable network resource, social capital has become a hot spot in enterprise innovation research. Most of the existing research focuses on the direct promotion of social capital to enterprise innovation. However, there are few in-depth studies on the negative effects of social capital. This book puts forward the variable of decision constraint, explores its intermediary role in the relationship between social capital and innovation, and provides a useful theoretical basis and reliable decision support for high-tech enterprises that try to improve their innovation performance by accumulating social capital.

Social Capital’s impact on Innovation: Bright Side, Dark Side or Both?

Business & Money

Economics

Paths Publishing Group

Guaranteed Localization and Mapping for Autonomous Vehicles: Applied interval analysis and constraint propagation

Computers & Technology

Programming

Editions universitaires europeennes

Smart The Birth of teachers(Chinese Edition)

Education Science Press

Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF).The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.

SIMULTANEOUS LOCALIZATION AND MAPPING: EXACTLY SPARSE INFORMATION FILTERS (New Frontiers in Robotics)

Huang, Shoudong

Dissanayake, Gamini

Computer Science

World Scientific Publishing Company

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Books by Wang, Zhan