Advanced Motion Control and Sensing for Intelligent Vehicles
Provides the latest information in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing need for safe, comfortable, time and energy-efficient modes of transportation with emphasis on the latest key findings, current trends, and likely future developments in this rapidly expanding field. Highlights : Discusses individual vehicle dynamics, sensory and multiple ground-vehicle interactions / Includes systematic review of past and current research achievements / Presents case studies in cutting-edge directions such as vehicle steering motion, vehicle vision systems, cooperative driving, intersection safety, and tire pressure monitoring / Assesses the likely future developments of this field. This book is useful for both practicing engineers and researchers in the automotive industry.
Advanced materials in smart building skins for sustainability : From nano to macroscale
Demonstrates the importance of smart and dynamic building skins in in sustainable buildings / Provides the scientific basis for integration of nanoscale materials in building envelopes with enhanced performance / Illustrates engineering solution and design process incorporating advanced materials in applications of building skins. / Updates readers on the key areas of smart building skins embodied in the novel advanced materials with unique structures and smart properties that enable multiple functions in energy efficiency, solar harvesting, and environmental greenness. It synergistically integrates the topics and knowledge of material design and experimental studies, theoretical analyses of building energy-saving mechanisms and solar energy utilization, and new design methodologies and processes taking advanced materials into account at different scales - from nano to the macroscale.
Advanced machine learning and deep learning approaches for remote sensing
Provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.
Advanced Fuzzy Logic Technologies in Industrial Applications
Addresses the problem by introducing a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The tuning process is a major focus in this volume because it is the most difficult stage in fuzzy control application. Using new methods such as µ-law technique, histogram equalization and the Bezier-based method, all detailed here, the tuning process can be significantly simplified and control performance improved. The other great strength of this book lies in the range and contemporaneity of its applications and examples which include: laser tracking and control; robot calibration; image processing and pattern recognition; medical engineering; audio systems; autonomous underwater vehicles and data mining.
Advanced data mining and applications ; Vol. 3584 ; 1st International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings
This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.
Advanced Air and Noise Pollution Control ; Vol.2
Handbook of Environmental Engineering, Volume 2, leading pollution control educators and practicing professionals describe how various combinations of different cutting-edge process systems can be arranged to solve air, noise, and thermal pollution problems. Each chapter discusses in detail a variety of process combinations, along with technical and economic evaluations, and presents explanations of the principles behind the designs, as well as numerous variant designs useful to practicing engineers. The emphasis throughout is on developing the necessary engineering solutions from fundamental principles of chemistry, physics, and mathematics. The authors also include extensive references, cost data, design methods, guidance on the installation and operation of various air pollution control process equipment and systems, and Best Available Technologies (BAT) for air, thermal, and noise pollution control. A companion volume, Air Pollution Control Engineering: Handbook of Environmental Engineering, Volume 1 critically surveys the principles and practices involved in basic air pollution control processes.
Adaptive Techniques for Dynamic Processor Optimization : Theory and Practice
This book discusses the different approaches and responses to adaptive techniques used for processor power, frequency and functionality optimization. Adaptive Techniques for Dynamic Processor Optimization: Theory and Practice includes chapter contributions that explore promising approaches and present the supporting data.
Adaptive Structural Systems with Piezoelectric Transducer Circuitry
Adaptive Structural Systems with Piezoelectric Transducer Circuitry provides a comprehensive discussion of the integration of piezoelectric transducers with electrical circuitry for the development and enhancement of adaptive structural systems.
Abstraction Refinement for Large Scale Model Checking
This book describes recent research developments in automatic abstraction refinement techniques. The authors address the main challenge in abstraction refinement, i.e., the ability to efficiently reach or come close to the optimum abstraction (the smallest abstract model that proves or refutes the given property). A suite of fully automatic abstraction techniques are proposed to improve the overall computation efficiency. The suite of algorithms presented in this book has demonstrated significant improvement over the prior art; some of them have already been adopted by the EDA companies in their commercial/in-house verification tools.
A Guide to Fluid Mechanics
The theory is explained using ordinary and accessible language, where fluid mechanics is presented in analogy to solid mechanics to emphasize that they are all the application of Newtonian mechanics and thermodynamics. All the informative and helpful illustrations are drawn by the author, uniting the science and the art with figures that complement the text and provide clear understanding.









