Biologically Inspired Signal Processing For Chemical Sensing

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Biologically Inspired Signal Processing For Chemical Sensing

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Author : Agustín Gutiérrez
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-11

Biologically Inspired Signal Processing For Chemical Sensing written by Agustín Gutiérrez and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-11 with Computers categories.

Biologically inspired approaches for artificial sensing have been extensively applied to different sensory modalities over the last decades and chemical senses have been no exception. The olfactory system, and the gustatory system to a minor extent, has been regarded as a model for the development of new artificial chemical sensing s- tems. One of the main contributions to this field was done by Persaud and Dodd in 1982 when they proposed a system based on an array of broad-selective chemical sensors coupled with a pattern recognition engine. The array aimed at mimicking the sensing strategy followed by the olfactory system where a population of bro- selective olfactory receptor neurons encodes for chemical information as patterns of activity across the neuron population. The pattern recognition engine proposed was not based on bio-inspired but on statistical methods. This influential work gave rise to a new line of research where this paradigm has been used to build chemical sensing instruments applied to a wide range of odor detection problems. More recently, some researchers have proposed to extend the biological inspiration of this system also to the processing of the sensor array signals. This has been mo- vated in part by the increasing body of knowledge available on biological olfaction, which has become in the last decade a focus of attention of the experimental neu- science community.

Biologically Inspired Signal Processing For Chemical Sensing

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Author : Agustín Gutiérrez
language : en
Publisher: Springer
Release Date : 2009-02-18

Biologically Inspired Signal Processing For Chemical Sensing written by Agustín Gutiérrez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-18 with Technology & Engineering categories.

Biologically inspired approaches for artificial sensing have been extensively applied to different sensory modalities over the last decades and chemical senses have been no exception. The olfactory system, and the gustatory system to a minor extent, has been regarded as a model for the development of new artificial chemical sensing s- tems. One of the main contributions to this field was done by Persaud and Dodd in 1982 when they proposed a system based on an array of broad-selective chemical sensors coupled with a pattern recognition engine. The array aimed at mimicking the sensing strategy followed by the olfactory system where a population of bro- selective olfactory receptor neurons encodes for chemical information as patterns of activity across the neuron population. The pattern recognition engine proposed was not based on bio-inspired but on statistical methods. This influential work gave rise to a new line of research where this paradigm has been used to build chemical sensing instruments applied to a wide range of odor detection problems. More recently, some researchers have proposed to extend the biological inspiration of this system also to the processing of the sensor array signals. This has been mo- vated in part by the increasing body of knowledge available on biological olfaction, which has become in the last decade a focus of attention of the experimental neu- science community.

Bioinspired Solutions To The Challenges Of Chemical Sensing

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Author : Ramon Huerta
language : en
Publisher: Frontiers E-books
Release Date :

Bioinspired Solutions To The Challenges Of Chemical Sensing written by Ramon Huerta and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Chemical sensing is likely the most primordial sensory modality that emerged in the evolution of life. Without chemical sensing life on earth would probably not exist. It is used for detecting nutrients, avoiding threats, finding mating partners and various forms of communication and social interaction between animals. The advent of artificial sensors has created a myriad of problems in the areas of chemical detection and identification with applications in food quality and pollution control, chemical threat detection, health monitoring, robot control and even odor and taste synthesis. Efficient algorithms are needed to address the many challenges of chemical sensing in these areas, including (but not limited to) sensitivity levels, sensor drift, concentration invariance of analyte identity and complex mixtures. Defining and improving analysis methods for artificial chemical sensing remains an active research area in engineering and machine learning alike. In the course of evolution animals, bacteria and plants have developed sophisticated methods and algorithms for solving difficult problems in chemical sensing very efficiently. Complex signalling pathways inside single cells can trigger movement toward the source of a nutrient. Complex networks of neurons appear to be able to compute odor types and the distance to a source in turbulent flows. These networks of neurons use a combination of temporal coding, layered structures, simple Hebbian learning rules, reinforcement learning and inhibition to quickly learn about chemical stimuli that are critical for their survival. Olfaction is a vibrant filed of research because recent technological advances allow monitoring and manipulating brain areas inaccessible in the past thus allowing for rapid progress. This is particularly relevant because to this date the best solutions to many general chemical sensing problems are still found in animals rather than artificial devices. Many lessons may yet have to be learned from biological systems to solve the complex problems of chemical sensing with similar success as animals routinely do. This special issue has the ambitious goal of bringing together biologists and engineers to report on biological solutions and engineering approaches to chemical sensing challenges in order to better understand in what aspects both fields can find common ground of discussion and to thus promote novel areas of interdisciplinary research.

Smelling To Survive

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Author : Bill S. Hansson
language : en
Publisher: Lindhardt og Ringhof
Release Date : 2024-08-13

Smelling To Survive written by Bill S. Hansson and has been published by Lindhardt og Ringhof this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Medical categories.

Smell is arguably the least understood sense, yet it has always been a vital component of the human experience, and that of all living creatures. Smell has been used by plants and animals for millions of years to warn, to attract, to identify, to navigate and even to mislead. Smelling to Survive explains some of these fascinating processes and explores how the past would have smelt quite different to our ancestors, and how future technologies will further change the world of scents. Along the way, leading scientist Bill S. Hansson recounts amazing stories from the world of olfactory research: from the tobacco plant that excretes an alarm odour, to mosquitos that cherish the smell of sweaty feet, to lilies that imitate the fragrance of a dead horse. Hansson explains why scientists are interested in the smell that surrounds teenage males, and how climate change affects the smell of our environment. He describes research trips to Christmas Island, where crabs with particularly keen noses crack coconuts on the beach, and outlines studies that reveal how penguins recognize their partner by their scent. Born in Sweden, the neuroethologist Bill S. Hansson served as Vice President of the Max Planck Society and is currently Director of the Max Planck Institute for Chemical Ecology in Jena, Germany, and an honorary professor at Friedrich Schiller University. His research centres on the question of how plants and insects communicate through scent.

New Advances In Intelligent Decision Technologies

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Author : Gloria Phillips-Wren
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-28

New Advances In Intelligent Decision Technologies written by Gloria Phillips-Wren and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-28 with Computers categories.

IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT’09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.

Foundations Of Computational Intelligence Volume 3

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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2009-05-01

Foundations Of Computational Intelligence Volume 3 written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-01 with Computers categories.

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems. This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.

Foundations Of Computational Intelligence Volume 2

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Author : Aboul-Ella Hassanien
language : en
Publisher: Springer
Release Date : 2009-05-27

Foundations Of Computational Intelligence Volume 2 written by Aboul-Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-27 with Technology & Engineering categories.

Foundations of Computational Intelligence Volume 2: Approximation Reasoning: Theoretical Foundations and Applications Human reasoning usually is very approximate and involves various types of - certainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on t- ory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for - proximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations Part-II: Approximate Reasoning – Success Stories and Real World Applications Part I on Approximate Reasoning – Theoretical Foundations contains four ch- ters that describe several approaches of fuzzy and Para consistent annotated logic approximation reasoning. In Chapter 1, “Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox” by Peters considers how a user might utilize fuzzy sets, near sets, and rough sets, taken separately or taken together in hybridizations as part of a computational intelligence toolbox. In multi-criteria decision making, it is necessary to aggregate (combine) utility values corresponding to several criteria (parameters).

Foundations Of Computational Intelligence

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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2009-05-01

Foundations Of Computational Intelligence written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-01 with Technology & Engineering categories.

Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.

Computer And Information Science 2009

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Author : Roger Lee
language : en
Publisher: Springer
Release Date : 2009-05-01

Computer And Information Science 2009 written by Roger Lee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-01 with Technology & Engineering categories.

This volume includes the best papers of the IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, held on June 2009 in Shanghai, China.

Sensors Update

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Author : Henry Baltes
language : en
Publisher:
Release Date : 2003

Sensors Update written by Henry Baltes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Detectors categories.