Amit Gupta, A.V.Nageswara varaha Rao, B. Raghavaiah, S. K. Dargar
{"title":"聚类法对不同温度下不同有毒气体的响应及恢复时间分析","authors":"Amit Gupta, A.V.Nageswara varaha Rao, B. Raghavaiah, S. K. Dargar","doi":"10.1109/iciptm54933.2022.9754047","DOIUrl":null,"url":null,"abstract":"Nitrogen Dioxide sensors supported Zinc Stannate films were manufactured utilizing the splattering-pyrolysis technique. The impact of parent material pyrexia on Nitrogen Dioxide reaction was investigated. The sheets deposited at 400 °C dominate flakes like geomorphology that the blanks put forward within the superficial increase the roughness. The zinc Stannate sensor demonstrated maximum sensor reaction 29.3 at comparatively low (300 °C) functioning pyrexia regarding 40 ppm Nitrogen Dioxide concentration. The new Zinc Stannate films demonstrate excellent gas sensing characteristics and evidence extraordinary reaction and rehabilitation dynamics with no superficial variation by element or surface-active agent. The proposed work follows the use of anaconda software over spider tool (spyder-3) operation with python programming language. The Python scripts in machine learning with applied clustering techniques have valued toxic liquids. The results are close to real-time results with simulated ones at divergent functional temperatures.","PeriodicalId":6810,"journal":{"name":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"313 1","pages":"79-83"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clustering Method Response and Recovery Time Analysis with Different Temperature for different Toxic Gas\",\"authors\":\"Amit Gupta, A.V.Nageswara varaha Rao, B. Raghavaiah, S. K. Dargar\",\"doi\":\"10.1109/iciptm54933.2022.9754047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nitrogen Dioxide sensors supported Zinc Stannate films were manufactured utilizing the splattering-pyrolysis technique. The impact of parent material pyrexia on Nitrogen Dioxide reaction was investigated. The sheets deposited at 400 °C dominate flakes like geomorphology that the blanks put forward within the superficial increase the roughness. The zinc Stannate sensor demonstrated maximum sensor reaction 29.3 at comparatively low (300 °C) functioning pyrexia regarding 40 ppm Nitrogen Dioxide concentration. The new Zinc Stannate films demonstrate excellent gas sensing characteristics and evidence extraordinary reaction and rehabilitation dynamics with no superficial variation by element or surface-active agent. The proposed work follows the use of anaconda software over spider tool (spyder-3) operation with python programming language. The Python scripts in machine learning with applied clustering techniques have valued toxic liquids. The results are close to real-time results with simulated ones at divergent functional temperatures.\",\"PeriodicalId\":6810,\"journal\":{\"name\":\"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)\",\"volume\":\"313 1\",\"pages\":\"79-83\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iciptm54933.2022.9754047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iciptm54933.2022.9754047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clustering Method Response and Recovery Time Analysis with Different Temperature for different Toxic Gas
Nitrogen Dioxide sensors supported Zinc Stannate films were manufactured utilizing the splattering-pyrolysis technique. The impact of parent material pyrexia on Nitrogen Dioxide reaction was investigated. The sheets deposited at 400 °C dominate flakes like geomorphology that the blanks put forward within the superficial increase the roughness. The zinc Stannate sensor demonstrated maximum sensor reaction 29.3 at comparatively low (300 °C) functioning pyrexia regarding 40 ppm Nitrogen Dioxide concentration. The new Zinc Stannate films demonstrate excellent gas sensing characteristics and evidence extraordinary reaction and rehabilitation dynamics with no superficial variation by element or surface-active agent. The proposed work follows the use of anaconda software over spider tool (spyder-3) operation with python programming language. The Python scripts in machine learning with applied clustering techniques have valued toxic liquids. The results are close to real-time results with simulated ones at divergent functional temperatures.