☆ 4.6 Article

An Analog Multilayer Perceptron Neural Network for a Portable Electronic Nose

SENSORS (2013)

期刊

SENSORS

卷 13, 期 1, 页码 193-207

出版社

MDPI

DOI: 10.3390/s130100193

关键词

analog MLP circuit; electronic nose

类别

Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation

资金

National Science Council of Taiwan [NSC 101-2220-E-007-006]
MediaTek Fellowship
National Chip Implementation Center (CIC), Taiwan

向作者/读者索取更多资源

Protocol

Reagent

摘要

This study examines an analog circuit comprising a multilayer perceptron neural network (MLPNN). This study proposes a low-power and small-area analog MLP circuit to implement in an E-nose as a classifier, such that the E-nose would be relatively small, power-efficient, and portable. The analog MLP circuit had only four input neurons, four hidden neurons, and one output neuron. The circuit was designed and fabricated using a 0.18 mu m standard CMOS process with a 1.8 V supply. The power consumption was 0.553 mW, and the area was approximately 1.36 x 1.36 mm(2). The chip measurements showed that this MLPNN successfully identified the fruit odors of bananas, lemons, and lychees with 91.7% accuracy.

作者

我是这篇论文的作者

点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6

评分不足

次要评分

新颖性

-

重要性

-

科学严谨性

-

评价这篇论文

推荐

Article Engineering, Electrical & Electronic

Artefact-Suppressing Analog Spike Detection Circuit for Firing-Rate Measurements in Closed-Loop Retinal Neurostimulators

Andreas Erbsloeh, Reinhard Viga, Karsten Seidl, Rainer Kokozinski

Summary: The aim of this research is to investigate low-power circuit concepts for the hardware implementation of an adaptively controlled stimulator for future retinal implants. The paper presents the implementation of an analog spike detection circuit to detect spikes from extracellular recordings and to perform electrode individual firing-rate measurements in a spatially high-density electrode array.

IEEE SENSORS JOURNAL (2022)

添加到收藏夹

Article Multidisciplinary Sciences

Synthetic neural-like computing in microbial consortia for pattern recognition

Ximing Li, Luna Rizik, Valeriia Kravchik, Maria Khoury, Netanel Korin, Ramez Daniel

Summary: Complex biological systems involve cells acting collectively to solve sophisticated tasks, while researchers have implemented neural network-like computing in bacterial consortia for pattern recognition.

NATURE COMMUNICATIONS (2021)

添加到收藏夹

Article Electrochemistry

SnO2-TiO2 and SnO2-MoO3 Based Composite Gas Sensors to Develop an E-nose for Peruvian Pisco Varieties Differentiation

F. Bravo-Hualpa, J. Trevejo-Pinedo, K. Visurraga, A. Pinedo-Flores, K. Acuna, J. Pena-Echevarria, F. Rojas, C. De-La-Cruz, M. R. Sun-Kou

Summary: In this study, sensors based on SnO2-TiO2 and SnO2-MoO3 composites were synthesized and characterized for the identification of adulteration or counterfeiting of Peruvian Pisco. The most sensitive sensors showed an enhanced response to alcoholic samples with higher ethanol content, while the response intensity decreased with increased methanol content. Differences in the composition of methanol and ethanol in different Pisco varieties correlated with the sensors' ability to differentiate them. SnO2-TiO2-1/2 composites exhibited greater reproducibility over time compared to other composites. Principal component analysis (PCA) results showed that composite sensors could effectively differentiate Pisco samples according to their varieties.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2022)

添加到收藏夹

Article Instruments & Instrumentation

Selectivity enhancement for metal oxide (MOX) based gas sensor using thermally modulated datasets coupled with golden section optimization and chemometric techniques

Navjot Kumar, Rahul Prajesh

Summary: This paper focuses on the use of low-cost gas sensors to detect multiple gases, using chemometric algorithms for classification and quantitative analysis. With optimized temperature ranges and preprocessing techniques, the method achieved 100% classification accuracy and highly accurate quantitative analysis. This approach offers low cost and intelligence, effectively addressing cross-selectivity issues in metal oxide semiconductor sensor design.

REVIEW OF SCIENTIFIC INSTRUMENTS (2022)

添加到收藏夹

Article Food Science & Technology

Comparison of Sensory Qualities in Eggs from Three Breeds Based on Electronic Sensory Evaluations

Xiaoguang Dong, Libing Gao, Haijun Zhang, Jing Wang, Kai Qiu, Guanghai Qi, Shugeng Wu

Summary: The study evaluated the sensory qualities of eggs from three commercial laying breeder strains, finding significant differences in smell profiles and successfully discriminating the breeds based on electronic nose data.

FOODS (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Experimental realization of visible gas sensing technology based on spatial heterodyne spectroscopy

Wen-li Zhang, Zhao-yu Liu, Kun Liang, Yi Wang, Ke-fan Chen, Yao-wei Sun, Sheng Wang

Summary: This paper introduces a novel visual gas sensing technology based on optical absorption gas sensing technology and spatial heterodyne spectroscopy. This technology presents invisible gas information in the form of a two-dimensional visual fingerprint and successfully detects NO2 in a laboratory environment for the first time. Experimental results show that this technology has good response to different spectra and concentrations of NO2, laying a foundation for gas sensing applications.

SCIENTIFIC REPORTS (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

A hybrid circuits-cloud: Development of a low-cost secure cloud-based collaborative platform for A/D circuits in virtual hardware E-lab

Shaffee Mayoof, Hasan Alaswad, Sameer Aljeshi, Ahmed Tarafa, Wael Elmedany

Summary: This paper introduces a hybrid-circuits cloud-based platform that enables students to design, simulate, and model both analog and digital electronic systems. The platform is ranked as number one in Google search for electronic circuit cloud tools, integrating IoT and cloud-based tools.

AIN SHAMS ENGINEERING JOURNAL (2021)

添加到收藏夹

Article Optics

In-fiber Mach-Zehnder interferometer as a promising tool for optical nose and odor prediction during the fermentation process

Renato Luiz Faraco Filho, Felipe Oliveira Barino, Joao Calderano, Italo Fernando Valle Alvarenga, Deivid Campos, Alexandre Bessa Dos Santos

Summary: This paper presents the application of an in-fiber Mach-Zehnder interferometer (MZI) for monitoring coffee bean fermentation. Two MZIs, based on a combination of a fiber taper cascaded by a micro-tapered long-period fiber grating, were installed in a fermentation barrel to monitor the liquids and gases released during the fermentation process. The research demonstrates that in-fiber MZIs are promising optical noses for this scenario.

OPTICS LETTERS (2023)

添加到收藏夹

Article Chemistry, Multidisciplinary

Artificial Olfactory Neuron for an In-Sensor Neuromorphic Nose

Joon-Kyu Han, Mingu Kang, Jaeseok Jeong, Incheol Cho, Ji-Man Yu, Kuk-Jin Yoon, Inkyu Park, Yang-Kyu Choi

Summary: A neuromorphic module of an electronic nose is demonstrated using a chemoresistive gas sensor and a single transistor neuron. It simultaneously detects gases and encodes spike signals, mimicking the biological olfactory system. An analysis of the mixed signals using a spiking neural network allows the identification of odor sources. This approach eliminates the need for conversion circuits and reduces power consumption compared to traditional electronic noses.

ADVANCED SCIENCE (2022)

添加到收藏夹

Review Food Science & Technology

Electronic tongue and electronic nose for food quality and safety

Lin Lu, Zhanqiang Hu, Xianqiao Hu, Dan Li, Shiyi Tian

Summary: Electronic tongue and electronic nose play important roles in food quality and safety. They are widely used in food production and have a high accuracy in predicting food quality. The combination of electronic tongue and electronic nose has better performance compared to using them separately.

FOOD RESEARCH INTERNATIONAL (2022)

添加到收藏夹

Review Food Science & Technology

E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?

Federica Cheli, Matteo Ottoboni, Francesca Fumagalli, Sharon Mazzoleni, Luca Ferrari, Luciano Pinotti

Summary: The risk of mycotoxin contamination in the feed supply chain poses a concern to animal and human health, economy, and international trade of agri-food commodities. This review discusses the use of electronic nose (e-nose) as an effective tool for rapid mycotoxin detection and management of mycotoxin risk at the feed business level. While e-nose has high discrimination accuracy for single-mycotoxin-contaminated grain, its predictive accuracy is still limited for in-field application where mycotoxin co-contamination occurs. Further research is needed to improve sensor materials, data analysis, pattern recognition systems, and understand the needs of the feed industry for safety and quality management.

TOXINS (2023)

添加到收藏夹

Review Engineering, Multidisciplinary

Development of compact electronic noses: a review

Lu Cheng, Qing-Hao Meng, Achim J. Lilienthal, Pei-Feng Qi

Summary: An electronic nose is a measuring instrument that mimics human olfaction and outputs 'fingerprint' information of mixed gases or odors. It consists of a gas sensing system and an information processing system. Over the years, it has evolved from large and costly instruments to portable, low cost devices with low power consumption.

MEASUREMENT SCIENCE AND TECHNOLOGY (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19

Yolande Ketchanji Mougang, Lorena Di Zazzo, Marilena Minieri, Rosamaria Capuano, Alexandro Catini, Jacopo Maria Legramante, Roberto Paolesse, Sergio Bernardini, Corrado Di Natale

Summary: This study demonstrates that volatile organic compounds (VOCs) in blood serum can accurately distinguish COVID-19 patients, providing a new method for disease diagnosis. The analysis of more than 100 different VOCs showed that the pattern of abundances of 17 compounds could identify COVID-19 from non-COVID with an accuracy of 89%. The combination of GC/MS analysis and gas sensor array achieved an accuracy of 89% in distinguishing COVID-19 patients.

ISCIENCE (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data

Yutong Tian, Jia Yan, Danhong Yi, Yuelin Zhang, Zehuan Wang, Tianhang Yu, Xiaoyan Peng, Shukai Duan

Summary: The study introduces a local manifold embedding cross-domain subspace learning (LME-CDSL) model that combines manifold learning and domain adaptation to address the gas sensor drift problem. By aligning domain distributions, the model aims to explore a latent transform matrix that can effectively handle drifted target domain data while preserving non-drifted source domain data.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

The Use of Electronic Nose for the Classification of Blended and Single Malt Scotch Whisky

Wentian Zhang, Taoping Liu, Amber Brown, Maiken Ueland, Shari L. Forbes, Steven Weidong Su

Summary: The whisky market is prone to fraudulent activities, and it is challenging for most consumers to distinguish fraudulent beverages. A new electronic nose prototype called NOS.E has been developed to identify the differences between whiskies based on their odour. This study demonstrates the high accuracy of the proposed e-nose solution in brand name, region, and style classification, which was further validated using GC x GC-TOFMS.

IEEE SENSORS JOURNAL (2022)

添加到收藏夹

暂无数据

暂无数据

© Peeref 2019-2024. All rights reserved.