Biologically Inspired Signal Processing For Chemical Sensing

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Biologically Inspired Signal Processing for Chemical Sensing

Agustín Gutiérrez,Santiago Marco
Biologically Inspired Signal Processing for Chemical Sensing Book PDF

Author : Agustín Gutiérrez,Santiago Marco
Publisher : Springer Science & Business Media
Page : 177 pages
File Size : 52,9 Mb
Release : 2009-05-11
Category : Computers
ISBN : 9783642001758

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Biologically Inspired Signal Processing for Chemical Sensing by Agustín Gutiérrez,Santiago Marco Pdf

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

Agustín Gutiérrez,Santiago Marco
Biologically Inspired Signal Processing for Chemical Sensing Book PDF

Author : Agustín Gutiérrez,Santiago Marco
Publisher : Springer
Page : 169 pages
File Size : 43,8 Mb
Release : 2009-08-29
Category : Computers
ISBN : 3642001777

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Biologically Inspired Signal Processing for Chemical Sensing by Agustín Gutiérrez,Santiago Marco Pdf

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

Ramon Huerta,Thomas Nowotny
Bioinspired solutions to the challenges of chemical sensing Book PDF

Author : Ramon Huerta,Thomas Nowotny
Publisher : Frontiers E-books
Page : 190 pages
File Size : 44,8 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9782889190959

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Bioinspired solutions to the challenges of chemical sensing by Ramon Huerta,Thomas Nowotny Pdf

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.

The Senses: A Comprehensive Reference

Anonim
The Senses A Comprehensive Reference Book PDF

Author : Anonim
Publisher : Academic Press
Page : 5215 pages
File Size : 51,9 Mb
Release : 2020-09-30
Category : Medical
ISBN : 9780128054093

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The Senses: A Comprehensive Reference by Anonim Pdf

The Senses: A Comprehensive Reference, Second Edition, Seven Volume Set is a comprehensive reference work covering the range of topics that constitute current knowledge of the neural mechanisms underlying the different senses. This important work provides the most up-to-date, cutting-edge, comprehensive reference combining volumes on all major sensory modalities in one set. Offering 264 chapters from a distinguished team of international experts, The Senses lays out current knowledge on the anatomy, physiology, and molecular biology of sensory organs, in a collection of comprehensive chapters spanning 4 volumes. Topics covered include the perception, psychophysics, and higher order processing of sensory information, as well as disorders and new diagnostic and treatment methods. Written for a wide audience, this reference work provides students, scholars, medical doctors, as well as anyone interested in neuroscience, a comprehensive overview of the knowledge accumulated on the function of sense organs, sensory systems, and how the brain processes sensory input. As with the first edition, contributions from leading scholars from around the world will ensure The Senses offers a truly international portrait of sensory physiology. The set is the definitive reference on sensory neuroscience and provides the ultimate entry point into the review and original literature in Sensory Neuroscience enabling students and scientists to delve into the subject and deepen their knowledge. All-inclusive coverage of topics: updated edition offers readers the only current reference available covering neurobiology, physiology, anatomy, and molecular biology of sense organs and the processing of sensory information in the brain Authoritative content: world-leading contributors provide readers with a reputable, dynamic and authoritative account of the topics under discussion Comprehensive-style content: in-depth, complex coverage of topics offers students at upper undergraduate level and above full insight into topics under discussion

Essentials of Machine Olfaction and Taste

Takamichi Nakamoto
Essentials of Machine Olfaction and Taste Book PDF

Author : Takamichi Nakamoto
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 48,5 Mb
Release : 2016-05-03
Category : Technology & Engineering
ISBN : 9781118768501

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Essentials of Machine Olfaction and Taste by Takamichi Nakamoto Pdf

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

Bioinspired Smell and Taste Sensors

Ping Wang,Qingjun Liu,Chunsheng Wu,K. Jimmy Hsia
Bioinspired Smell and Taste Sensors Book PDF

Author : Ping Wang,Qingjun Liu,Chunsheng Wu,K. Jimmy Hsia
Publisher : Springer
Page : 328 pages
File Size : 55,9 Mb
Release : 2015-10-03
Category : Science
ISBN : 9789401773331

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Bioinspired Smell and Taste Sensors by Ping Wang,Qingjun Liu,Chunsheng Wu,K. Jimmy Hsia Pdf

​This book discusses the field of bioinspired smell and taste sensors which includes many new areas: sensitive materials, physiological modelling and simulation, and more. Similar to biological chemical sensing systems, bioinspired smell and taste sensors are characterized with fast responsive, high specificity and sensitivity. One of the most important parts of the field is that of sensitive elements originated from biological components, which enable the detection of chemical signals by mimicking the biological mechanisms. This book detailed describes processing, devices, recognition principles of sensitive materials, and concrete realizations. It is written for researchers, engineers and biologists who engages in interdisciplinary research and applications. Dr. Ping Wang is a professor at Zhejiang University, Hangzhou, China. Dr. Qingjun Liu is a professor at Zhejiang University, Hangzhou, China. Dr. Chunsheng Wu is an associated professor at Zhejiang University, Hangzhou, China. Dr. K. Jimmy Hsia is a professor at University of Illinois at Urbana-Champaign, Urbana, USA.

Nature-Inspired Algorithms for Optimisation

Raymond Chiong
Nature Inspired Algorithms for Optimisation Book PDF

Author : Raymond Chiong
Publisher : Springer
Page : 516 pages
File Size : 53,5 Mb
Release : 2009-05-02
Category : Technology & Engineering
ISBN : 9783642002670

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Nature-Inspired Algorithms for Optimisation by Raymond Chiong Pdf

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.

Towards an Integrated Approach to Measurement, Analysis and Modeling of Cortical Networks

A. Ravishankar Rao,Guillermo A. Cecchi,Ehud Kaplan
Towards an Integrated Approach to Measurement Analysis and Modeling of Cortical Networks Book PDF

Author : A. Ravishankar Rao,Guillermo A. Cecchi,Ehud Kaplan
Publisher : Frontiers Media SA
Page : 266 pages
File Size : 55,9 Mb
Release : 2016-03-17
Category : Electronic book
ISBN : 9782889197620

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Towards an Integrated Approach to Measurement, Analysis and Modeling of Cortical Networks by A. Ravishankar Rao,Guillermo A. Cecchi,Ehud Kaplan Pdf

The amount of data being produced by neuroscientists is increasing rapidly, driven by advances in neuroimaging and recording techniques spanning multiple scales of resolution. The availability of such data poses significant challenges for their processing and interpretation. To gain a deeper understanding of the surrounding issues, the Editors of this e-Book reached out to an interdisciplinary community, and formed the Cortical Networks Working Group, and the genesis of this e-Book thus began with the formation of this Working Group, which was supported by the National Institute for Mathematical and Biological Synthesis in the USA. The Group consisted of scientists from neuroscience, physics, psychology and computer science, and meetings were held in person. (A detailed list of the group members is presented in the Editorial that follows.) At the time we started, in 2010, the term “big data” was hardly in existence, though the volume of data we were handling would certainly have qualified. Furthermore, there was significant interest in harnessing the power of supercomputers to perform large scale neuronal simulations, and in creating specialized hardware to mimic neural function. We realized that the various disciplines represented in our Group could and should work together to accelerate progress in Neuroscience. We searched for common threads that could define the foundation for an integrated approach to solve important problems in the field. We adopted a network-centric perspective to address these challenges, as the data are derived from structures that are themselves network-like. We proposed three inter-twined threads, consisting of measurement of neural activity, analysis of network structures deduced from this activity, and modeling of network function, leading to theoretical insights. This approach formed the foundation of our initial call for papers. When we issued the call for papers, we were not sure how many papers would fall into each of these threads. We were pleased that we found significant interest in each thread, and the number of submissions exceeded our expectations. This is an indication that the field of neuroscience is ripe for the type of integration and interchange that we had anticipated. We first published a special topics issue after we received a sufficient number of submissions. This is now being converted to an e-book to strengthen the coherence of its contributions. One of the strong themes emerging in this e-book is that network-based measures capture better the dynamics of brain processes, and provide features with greater discriminative power than point-based measures. Another theme is the importance of network oscillations and synchrony. Current research is shedding light on the principles that govern the establishment and maintenance of network oscillation states. These principles could explain why there is impaired synchronization between different brain areas in schizophrenics and Parkinson’s patients. Such research could ultimately provide the foundation for an understanding of other psychiatric and neurodegenerative conditions. The chapters in this book cover these three main threads related to cortical networks. Some authors have combined two or more threads within a single chapter. We expect the availability of related work appearing in a single e-book to help our readers see the connection between different research efforts, and spur further insights and research.

Tuning Metaheuristics

Mauro Birattari
Tuning Metaheuristics Book PDF

Author : Mauro Birattari
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 52,5 Mb
Release : 2009-04-08
Category : Mathematics
ISBN : 9783642004827

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Tuning Metaheuristics by Mauro Birattari Pdf

This book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.

Soft Computing Based Modeling in Intelligent Systems

Valentina Emilia Balas,János Fodor,Annamária R. Várkonyi-Kóczy
Soft Computing Based Modeling in Intelligent Systems Book PDF

Author : Valentina Emilia Balas,János Fodor,Annamária R. Várkonyi-Kóczy
Publisher : Springer
Page : 205 pages
File Size : 55,5 Mb
Release : 2009-03-03
Category : Technology & Engineering
ISBN : 9783642004483

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Soft Computing Based Modeling in Intelligent Systems by Valentina Emilia Balas,János Fodor,Annamária R. Várkonyi-Kóczy Pdf

The book “Soft Computing Based Modeling in Intelligent Systems”contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term “Soft Computing.” He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our wo- shop. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c- puting applications will continue to have an exceptional role in our technologies. The applications of Soft Computing techniques in emerging research areas show its mat- ity and usefulness. The IEEE International Workshop SOFA 2005 held Szeged-Hungary and Arad- Romania in 2005 has led to the publication of these two edited volumes. This volume contains Soft Computing methods and applications in modeling, optimisation and prediction.

Artificial Neural Networks and Machine Learning – ICANN 2021

Igor Farkaš,Paolo Masulli,Sebastian Otte,Stefan Wermter
Artificial Neural Networks and Machine Learning ICANN 2021 Book PDF

Author : Igor Farkaš,Paolo Masulli,Sebastian Otte,Stefan Wermter
Publisher : Springer Nature
Page : 705 pages
File Size : 48,7 Mb
Release : 2021-09-10
Category : Computers
ISBN : 9783030863838

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Artificial Neural Networks and Machine Learning – ICANN 2021 by Igor Farkaš,Paolo Masulli,Sebastian Otte,Stefan Wermter Pdf

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as representation learning, reservoir computing, semi- and unsupervised learning, spiking neural networks, text understanding, transfers and meta learning, and video processing. *The conference was held online 2021 due to the COVID-19 pandemic.

Constraint-Handling in Evolutionary Optimization

Efrén Mezura-Montes
Constraint Handling in Evolutionary Optimization Book PDF

Author : Efrén Mezura-Montes
Publisher : Springer Science & Business Media
Page : 273 pages
File Size : 48,7 Mb
Release : 2009-04-07
Category : Computers
ISBN : 9783642006180

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Constraint-Handling in Evolutionary Optimization by Efrén Mezura-Montes Pdf

This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.

New Advances in Intelligent Decision Technologies

Gloria Phillips-Wren
New Advances in Intelligent Decision Technologies Book PDF

Author : Gloria Phillips-Wren
Publisher : Springer
Page : 656 pages
File Size : 41,8 Mb
Release : 2009-04-17
Category : Computers
ISBN : 9783642009099

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New Advances in Intelligent Decision Technologies by Gloria Phillips-Wren Pdf

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

Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho
Foundations of Computational Intelligence Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 42,7 Mb
Release : 2009-04-21
Category : Mathematics
ISBN : 9783642010873

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Foundations of Computational Intelligence by Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho Pdf

Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this amount doubles every 20 years. For some applications, this increase is even steeper. Databases storing DNA sequence, for example, are doubling their size every 10 months. This growth is occurring in several applications areas besides bioinformatics, like financial transactions, government data, environmental mo- toring, satellite and medical images, security data and web. As large organizations recognize the high value of data stored in their databases and the importance of their data collection to support decision-making, there is a clear demand for - phisticated Data Mining tools. Data mining tools play a key role in the extraction of useful knowledge from databases. They can be used either to confirm a parti- lar hypothesis or to automatically find patterns. In the second case, which is - lated to this book, the goal may be either to describe the main patterns present in dataset, what is known as descriptive Data Mining or to find patterns able to p- dict behaviour of specific attributes or features, known as predictive Data Mining. While the first goal is associated with tasks like clustering, summarization and association, the second is found in classification and regression problems.

Soft Computing for Data Mining Applications

K. R. Venugopal,K.G. Srinivasa,L. M. Patnaik
Soft Computing for Data Mining Applications Book PDF

Author : K. R. Venugopal,K.G. Srinivasa,L. M. Patnaik
Publisher : Springer Science & Business Media
Page : 354 pages
File Size : 45,7 Mb
Release : 2009-03-11
Category : Computers
ISBN : 9783642001925

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Soft Computing for Data Mining Applications by K. R. Venugopal,K.G. Srinivasa,L. M. Patnaik Pdf

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.