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An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems

Anup Vanarse, Adam Osseiran, Alexander Rassau
2017 Sensors  
With increasing interest in developing low-power and robust chemical sensors, the application of neuromorphic engineering concepts for electronic noses has provided an impetus for research focusing on  ...  Low-power spike-based processing and the ability to embed learning algorithms underpin the application of neuromorphic systems for the development of robust real-time e-noses.  ...  for bio-inspired machine olfaction systems.  ... 
doi:10.3390/s17112591 pmid:29125586 pmcid:PMC5713038 fatcat:dydvjokjgfhbzj5xnaveopzpve

A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data

Anup Vanarse, Adam Osseiran, Alexander Rassau, Peter van der Made
2019 Sensors  
Recent developments in spike-based bio-inspired approaches have delivered solutions for the highly accurate classification of multivariate sensor data with minimized computational and power requirements  ...  In several application domains, electronic nose systems employing conventional data processing approaches incur substantial power and computational costs and limitations, such as significant latency and  ...  Acknowledgments: The authors would like to thank Douglas McLelland for technical support and his valuable comments on the technical content that greatly improved the manuscript.  ... 
doi:10.3390/s19224831 pmid:31698785 pmcid:PMC6891685 fatcat:2ybjtx247ff3bcdwv4z5qqjs3e

Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts

Anup Vanarse, Adam Osseiran, Alexander Rassau, Peter van der Made
2022 Sensors  
Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques that have significantly improved the conditioning  ...  In this paper, we extend our previously reported neuromorphic encoding and classification approach to a real-world dataset that consists of sensor responses from a commercial e-nose system when exposed  ...  Acknowledgments: The authors would like to thank Kristofor Carlson and Douglas McLelland for their valuable feedback on this manuscript.  ... 
doi:10.3390/s22020440 pmid:35062402 pmcid:PMC8778084 fatcat:uuncexngjvd33im4zpewalxtna

Guest editorial: special issue on advanced data mining and applications

Quan Z. Sheng, Yongrui Qin
2018 Computing  
Acknowledgements The guest editors would like to take this opportunity to thank all the authors for the efforts they put in the preparation of their manuscripts and for their valuable contributions.  ...  The next paper by Al-Maskari et al. entitled "Bio-inspired learning approach for electronic nose" particularly looks at improving performance of e-nose (electronic nose) in odour recognition, thereby extending  ...  It mainly leverages shared-structure dictionary learning and rule-based reasoning for continuous daily activity tracking and abnormal activity detection.  ... 
doi:10.1007/s00607-018-0607-8 fatcat:g5rmcbhwuvbizdlfmnpnghiali

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

Anup Vanarse, Josafath Israel Espinosa-Ramos, Adam Osseiran, Alexander Rassau, Nikola Kasabov
2020 Sensors  
This paper argues that brain-inspired spiking neural networks constitute a promising approach for the next generation of machine intelligence for odor data processing.  ...  Inspired by principles of brain information processing, here we propose the first spiking neural network method and associated deep machine learning system for classification of odor data.  ...  electronic nose system.  ... 
doi:10.3390/s20102756 pmid:32408563 pmcid:PMC7294411 fatcat:sdzbovu7sfabrhk5fhkvwjo6tu

Gases concentration estimation using heuristics and bio-inspired optimization models for experimental chemical electronic nose

Lei Zhang, Fengchun Tian, Chaibou Kadri, Guangshu Pei, Hongjuan Li, Lina Pan
2011 Sensors and actuators. B, Chemical  
This paper analyzes the application of different bio-inspired and heuristic techniques to the problem of concentration estimation in experimental electronic nose application.  ...  By virtue of an electronic nose, detection and concentration estimation of harmful gases indoor become feasible by using a multi-sensor system.  ...  nose In this section, the presented heuristics and bio-inspired algorithms are applied to concentration estimation problems for an electronic nose.  ... 
doi:10.1016/j.snb.2011.08.060 fatcat:5j3rgcswdffw5aj4logduohahq

Bio-inspired approaches for explosives detection

Tomasz Wasilewski, Jacek Gębicki, Wojciech Kamysz
2021 TrAC. Trends in analytical chemistry  
A summary of the strategies inspired by biological olfactory systems should facilitate the approach to the problem of artificial instruments design and to development of the strategy aimed at analysis  ...  Presented review is focused on the biomimetic devices, which mimic the sense of smell in a direct way and which are the inspiration to design the devices used for detection of the explosives.  ...  Lessons learned from the vertebrates and invertebrates smelling systems may benefit the next-generation of vapours detectors for explosives and could inform future bio-inspired designs for optimized sampling  ... 
doi:10.1016/j.trac.2021.116330 fatcat:idpgeccwungp7gjxbakmwf3tc4

Reliable E-Nose System using the Improved Optimization Technique based ANN

2020 International Journal of Engineering and Advanced Technology  
The IoT-ANN it is based on a bio-inspired algorithm to achieve reliable training during the E-Nose prediction  ...  (Since from last decade, there is a growing interest in a system that detects the pollutant gases and other environmental information is called Electronic Nose (E-Nose) networks.  ...  The IoT-ANN system is based on a bio-inspired algorithm to achieve reliable training during the E-Nose prediction.  ... 
doi:10.35940/ijeat.a9350.049420 fatcat:wo4mckp45vfafhcrnntxtrhu2u

Biologically Inspired Design of Context-Aware Smart Products

Ang Liu, Ivan Teo, Diandi Chen, Stephen Lu, Thorsten Wuest, Zhinan Zhang, Fei Tao
2019 Engineering  
Unlike artifacts, various bio-systems are naturally characterized by their extraordinary context-awareness. Biologically inspired design (BID) is one of the most commonly employed design strategies.  ...  The rapid development of information and communication technologies (ICTs) and cyber-physical systems (CPSs) has paved the way for the increasing popularity of smart products.  ...  Function DP 1 2 3 4 5 Recognize dirty area 360°camera Bio-electronic nose Master/slave protocol Fuzzy logic Image processing Mark territory Bio-electronic nose Flavor-releaser Ultrasonic  ... 
doi:10.1016/j.eng.2019.06.005 fatcat:vaxdyt5m75d4xd7z6x5rzz6bsm

Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system

A Diamond, M Schmuker, A Z Berna, S Trowell, Thomas Nowotny
2016 Bioinspiration & Biomimetics  
Nowotny, 'Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system', Abstract In many application domains, conventional e-noses  ...  Exploring potential bio-inspired improvements, we note a number of neuronal network models have demonstrated some success in classifying static datasets by abstracting the insect olfactory system.  ...  Acknowledgments Dr R Binions of Queen Mary, London provided the novel CTO-based sensors used for half of the underlying recordings.  ... 
doi:10.1088/1748-3190/11/2/026002 pmid:26891474 fatcat:m4mlv4vx4baqtmcu4yqsbf6tku

Biomimetic-based odor and taste sensing systems to food quality and safety characterization: An overview on basic principles and recent achievements

Mahdi Ghasemi-Varnamkhasti, Seyed Saeid Mohtasebi, Maryam Siadat
2010 Journal of Food Engineering  
Human sense inspired sensor technologies such as multi arrays of sensors are of interest to food industry for food control and sensory evaluation.  ...  The appreciation of food is based on the perception of many senses; in fact for a total estimation the human senses are involved.  ...  Acknowledgements The authors take this opportunity to express their sincere gratitude to Professor Karl Siebert in New York as well as Professor Toko in Japan for their valuable helps in providing many  ... 
doi:10.1016/j.jfoodeng.2010.04.032 fatcat:jbdc2zvglfcy3czayl6yxjxnfi

An Empirical Study for Quantification of Carcinogenic Formaldehyde by Integrating a Probabilistic Framework with Spike Latency Patterns in an Electronic Nose

Muhammad HASSAN, Amine BERMAK, Amine Ait Si ALI, Abbes AMIRA
2015 Sensors & Transducers  
Hardware friendly gas quantification without requiring any manual tuning of parameters is the major challenge with the electronic nose.  ...  A computationally efficient bio-inspired spike latency coding scheme, in which spike latencies corresponding to sensitivity patterns of the sensors in the array shift with the change in concentration,  ...  A bio-inspired spike latency coding scheme is used to extract knowledge of concentration.  ... 
doaj:ea4e7d79051d4803ad5db426b75ffe7b fatcat:m3uv5zzq2feglehdlckw6vye6u

Simulation Techniques and Prosthetic Approach Towards Biologically Efficient Artificial Sense Organs- An Overview [article]

Biswarup Neogi, Soumya Ghosal, Soumyajit Mukherjee, Achintya Das, D.N.Tibarewala
2011 arXiv   pre-print
Simulation aspects and control modeling are indispensible for knowing system performance, and to generate an original approach of artificial organs.  ...  uses of electronic noses have already been started [56-[58] ,similar concepts for analysis of liquid is described, but for the tasting sense the terms "electronic tongue or "taste sensor have been used  ...  Fuzzy neural network germinating Bio-electric prosthetic nose: The artificial nose concept was around through the years and was developed by various researchers in this field till recent dates.  ... 
arXiv:1111.1684v1 fatcat:x7haidzi6nevhfw2xecg4ha2m4

A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors

Anup Vanarse, Adam Osseiran, Alexander Rassau
2016 Frontiers in Neuroscience  
The foundation for research in neuromorphic sensors was laid more than two decades ago, but recent developments in understanding of biological sensing and advanced electronics, have stimulated research  ...  This allows for much lower power consumption due to an ability to extract useful sensory information from sparse captured data.  ...  ACKNOWLEDGMENTS The authors wish to thank Peter van der Made of BrainChip Holdings for his review of the paper.  ... 
doi:10.3389/fnins.2016.00115 pmid:27065784 pmcid:PMC4809886 fatcat:emxwvexhqndahd2qto25r7rzzi

Gas Recognition in E-nose System: A Review

Hong Chen, Dexuan Huo, Jilin Zhang
2022 IEEE Transactions on Biomedical Circuits and Systems  
Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for recognizing multivariate responses obtained by gas sensors in various applications.  ...  Over the past decades, classical gas recognition approaches such as principal component analysis (PCA) have been widely applied in E-nose systems.  ...  Combined with bio-plausible local learning rules, this makes it easier to build low-power hardware for SNNs [42] .  ... 
doi:10.1109/tbcas.2022.3166530 pmid:35412988 fatcat:ndusuvawkfhhta5ftuf2asnyti
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