Semiconductor Gas Sensors, Second Edition, summarizes recent research on basic principles, new materials and emerging technologies in this essential field. Chapters cover the foundation of the underlying principles and sensing mechanisms of gas sensors, include expanded content on gas sensing characteristics, such as response, sensitivity and cross-sensitivity, present an overview of the nanomaterials utilized for gas sensing, and review the latest applications for semiconductor gas sensors, including environmental monitoring, indoor monitoring, medical applications, CMOS integration and chemical warfare agents. This second edition has been completely updated, thus ensuring it reflects current literature and the latest materials systems and applications. - Includes an overview of key applications, with new chapters on indoor monitoring and medical applications - Reviews developments in gas sensors and sensing methods, including an expanded section on gas sensor theory - Discusses the use of nanomaterials in gas sensing, with new chapters on single-layer graphene sensors, graphene oxide sensors, printed sensors, and much more

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

Complex and Composite Metal Oxides for Gas, VOC, and Humidity Sensors focuses on an overview of the advanced nanocomposite metal oxide materials for use in sensors for environmental monitoring applications. Volume 1 Fundamentals and Approaches introduces the ground rules essential for the development of smart gas, VOC and humidity sensors. This volume familiarizes researchers with the different sensors (resistive, electrolyte, FET, optical etc.) developed on various properties that includes electrical, SPR, luminescence, fiber optics etc. fabricated using metal oxide hybrids and nanocomposites. - Introduces the fundamentals of electrical and optical gas and humidity sensors - Reviews metal oxide hybrid materials for gas and humidity sensor applications, including metal oxide/polymer and metal oxide/carbon composite materials - Discusses complex metal oxide compounds and composite materials for use in gas, VOC, and humidity sensors

An overview of the principles & current technology of the main sensor types used for flammable gas detection, oxygen monitoring in combustion & car-exhaust control. Also includes toxic gas monitoring. A companion volume to Techniques & Mechanisms in Gas Sensing.

This book is a printed edition of the Special Issue "Volatile Organic Compounds in Environment" that was published in Environments

Sensor arrays are used to overcome the limitation of simple and/or individual conventional sensors. Obviously, it is more complicated to deal with some issues related to sensor arrays, e.g. signal processing, than those conventional sensors. Some of the issues are addressed in this book, with emphasis on signal processing, calibration and some advanced applications, e.g. how to place sensors as an array for accurate measurement, how to calibrate a sensor array by experiment, how to use a sensor array to track non-stationary targets efficiently and effectively, how to use an ultrasonic sensor array for shape recognition and position measurement, how to use sensor arrays to detect chemical agents, and applications of gas sensor arrays, including e-nose. This book should be useful for those who would like to learn the recent developments in sensor arrays, in particular for engineers, academics and postgraduate students studying instrumentation and measurement.

The 4th International Conference on Electronics, Materials Engineering and Nano Technology (IEMENTech) will act as a platform for the students, researchers and members of the industry across the globe to exchange their ideas and present their research work on smart and emerging technologies with their peers This conference will stimulate the knowledge base of Electronic Science, Materials Engineering and Nano Technology The focus of the conference will be on the following areas of research but are not limited to 1 Semiconductor Device Physics 2 Nano Materials 3 Industrial Electronics and Control Systems 4 VLSI Circuit Design 5 Micro Electronic Device Fabrication 6 Opto Electronics 7 Embedded System Design 8 Microwave and Antenna 9 Wireless Mobile Communication and Computing 10 Signal and Image Processing 11 Green Technology 12 MEMS, Sensors and IoT 13 Bioelectronics and its Application 14 Robotics and Artificial Intelligence 15 Mechatronics