Intelligent systems are systems that, given some data, are able to learn from that data. This makes it possible for complex systems to be modeled and/or for performance to be predicted. In turn, intelligent systems' functionality can be controlled through learning/training, without the need for a priori knowledge of their structure. Intelligent Systems for Machine Olfaction: Tools and Methodologies introduces new, state-of-the art applications of intelligent systems to researchers and developers in the area of machine olfaction. Readers will benefit from in-depth analyses of fundamental theories, potential trends, and key literature in the field, making this work both a source of application examples that can be readily implemented and a practical guide for the implementation of solutions in other scenarios.

Essentials of Machine Olfaction and Taste This book provides a valuable information source for olfaction and taste which includes a comprehensive and timely overview of the current state of knowledge of use for olfaction and taste machines Presents original, latest research in the field, with an emphasis on the recent development of human interfacing Covers the full range of artificial chemical senses including olfaction and taste, from basic through to advanced level Timely project in that mobile robots, olfactory displays and odour recorders are currently under research, driven by commercial demand

"Practical Applications of Intelligent Systems" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but are not limited to: Intelligent Game, Intelligent Multimedia, Business Intelligence, Intelligent Bioinformatics Systems, Intelligent Healthcare Systems, User Interfaces and Human Computer Interaction, Knowledge-based Software Engineering, Social Issues of Knowledge Engineering, etc. The proceedings are benefit for both researchers and practitioners who want to learn more about the current practice, experience and promising new ideas in the broad area of intelligent systems and knowledge engineering. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University, China. Dr. Tianrui Li is a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Xi’an, China.

This book provides the basics of odor, odor analysis techniques, sensors used in odor analysis and overview of odor measurement techniques. For beginners as well researchers this book is a brief guide for odor measurement and analysis. The book includes a special chapter dedicated to practical implementation of e-nose sensor devices with software utility, which guides students to prepare projects and work in practical analysis. It also includes material from early to latest technology research available in the market of e-nose era. Students and researchers who want to learn the basics of biomedical engineering and sensor measurement technology will find this book useful.

Introduction to Machine Olfaction Devices discusses the various aspects of a MOD device, from historical approaches to state-of-the-art technologies. This book also covers the mechanism in dealing and detecting gases, odor, and aroma. Problems and solutions relevant to present day design have been outlined as well as a step-by-step guide to Machine Olfaction Device (MOD) design. Sensors and gas systems, along with polymers and certain manufacturing processes, have been discussed, together with other relevant materials for the MOD process and functions including comparison and validations, data processing, data analysis, MOD new design, micro systems, and monitoring systems. Aimed at developing a novel and improved MOD with more efficient on-board data processing capability for monitoring applications, this book will help you to design an MOD with a faster stabilizing base line; a quicker sample result display; an ability to use ambient air; a low power consumption; and the ability to deal with different varieties of organic/inorganic samples. With a focus on the most important and relevant aspects of designing MODs which currently require a solution, topics covered include MOD and market issues, cost, technical issues, and MOD applications. With a huge range of potential applications, this book will be of special interest to those working (or studying) in this field at every level, from Biomedical, Energy, or Electrical Engineers, to Computer or Food Scientists. Introduction to Machine Olfaction Devices discusses the various aspects of a MOD device, from historical approaches to state-of-the-art technologies. This book also covers the mechanism in dealing and detecting gases, odor, and aroma. Problems and solutions relevant to present day design have been outlined as well as a step-by-step guide to Machine Olfaction Device (MOD) design. Sensors and gas systems, along with polymers and certain manufacturing processes, have been discussed, together with other relevant materials for the MOD process and functions including comparison and validations, data processing, data analysis, MOD new design, micro systems, and monitoring systems. Aimed at developing a novel and improved MOD with more efficient on-board data processing capability for monitoring applications, this book will help you to design an MOD with a faster stabilizing base line; a quicker sample result display; an ability to use ambient air; a low power consumption; and the ability to deal with different varieties of organic/inorganic samples. With a focus on the most important and relevant aspects of designing MODs which currently require a solution, topics covered include MOD and market issues, cost, technical issues, and MOD applications. With a huge range of potential applications, this book will be of special interest to those working (or studying) in this field at every level, from Biomedical, Energy, or Electrical Engineers, to Computer or Food Scientists. Focuses on the most important and relevant aspects of designing machine olfaction devices (MOD) which currently require a solution Topics covered include: MOD and market issues; MOD and cost; MOD and technical issues; MOD applications

Many advances have been made in the last decade in the understanding of the computational principles underlying olfactory system functioning. Neuromorphic Olfaction is a collaboration among European researchers who, through NEUROCHEM (Fp7-Grant Agreement Number 216916)-a challenging and innovative European-funded project-introduce novel computing p