题名 | An Intelligent Gas Analysis System Consisting of Sensors and a Neural Network Implemented Using Thin-Film Transistors |
作者 | |
DOI | |
发表日期 | 2023
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会议名称 | 36th IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
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ISSN | 1084-6999
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ISBN | 978-1-6654-9309-3
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会议录名称 | |
卷号 | 2023-January
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页码 | 259-262
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会议日期 | 15-19 Jan. 2023
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会议地点 | Munich, Germany
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出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA
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出版者 | |
摘要 | Described presently is an "intelligent" gas-analysis system consisting of a gas-sensor array and an artificial neural network (ANN) consisting of dual-gate thin-film transistors (TFTs) for in-system inferencing. The micro-hotplates needed for implementing gas sensors with improved specificity are constructed using a silicon-migration technology for the spontaneous creation of a suspended diaphragm. The TFTs deployed in both the array and the network sub-systems are based on semiconducting indium-gallium-zinc oxide. The two sub-systems are packaged on a printed-circuit board. The ANN infers from the raw sensor signals the identity and the concentration of the gas, thus demonstrating the feasibility of building TFT-based intelligent sensor systems. |
关键词 | |
学校署名 | 第一
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语种 | 英语
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相关链接 | [IEEE记录] |
收录类别 | |
资助项目 | Science and Technology Program of Shenzhen["SGDX20190918105001787","JCYJ20200109140601691"]
; Innovation and Technology Fund[GHP/013/19SZ]
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WOS研究方向 | Engineering
; Science & Technology - Other Topics
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WOS类目 | Engineering, Electrical & Electronic
; Engineering, Mechanical
; Nanoscience & Nanotechnology
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WOS记录号 | WOS:000975359200068
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EI入藏号 | 20231113731676
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EI主题词 | Chemical sensors
; Gallium compounds
; Gas detectors
; Gases
; II-VI semiconductors
; Monolithic integrated circuits
; Printed circuit boards
; Thin film circuits
; Thin film transistors
; Thin films
; Zinc oxide
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EI分类号 | Semiconducting Materials:712.1
; Semiconductor Devices and Integrated Circuits:714.2
; Chemistry:801
; Inorganic Compounds:804.2
; Accidents and Accident Prevention:914.1
; Special Purpose Instruments:943.3
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来源库 | IEEE
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10052572 |
引用统计 |
被引频次[WOS]:2
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成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/502067 |
专题 | 南方科技大学 |
作者单位 | 1.Southern University of Science and Technology, China 2.The Hong Kong University of Science and Technology, Hong Kong |
第一作者单位 | 南方科技大学 |
第一作者的第一单位 | 南方科技大学 |
推荐引用方式 GB/T 7714 |
Zong Liu,Yushen Hu,Gabriel E. Carranza,et al. An Intelligent Gas Analysis System Consisting of Sensors and a Neural Network Implemented Using Thin-Film Transistors[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023:259-262.
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条目包含的文件 | 条目无相关文件。 |
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