{"title":"Weed Detection in Grassland and Field Areas Employing RGB Imagery with a Deep Learning Algorithm Using Rumex obtusifolius Plants as a Case Study","authors":"Georg Roman Schneider, J. Scharinger, C. Probst","doi":"10.3390/ecsa-9-13950","DOIUrl":"https://doi.org/10.3390/ecsa-9-13950","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Temperature sensors are widely employed in control systems that maintain required temperature in a vessel or container irrespective of the temperature changes in the outer environment. However, limited power of the heater/cooler (the plant of the control system) might lead to uncom-fortable or even inacceptable deviations from the required temperature. This behaviour can be mit-igated if the control system can have access not only to the present temperature in the vessel but also to the forecasted environmental temperature. This situation occurs, among others, at industrial vessels that require elevated temperatures during their operation but shut down out of hours. To start heating these to the required temperature at the beginning of a working shift wastes processing time until the required temperature is reached. It is more productive to turn on heating in advance in order to get the vessel ready on time. In order to achieve fully autonomous automatic operation, the sensor should have some intelligence and access to the temperature forecast, which can be provided over the internet. Both these requirements can be met by employing a WiFi enabled microcontroller. We present development of a predictive IoT temperature sensor based on the ESP32 microcontroller, which uses internet service to get time and weather forecast, and upload temperature logs to a cloud server for convenient remote access and storage.
{"title":"Predictive IoT Temperature Sensor","authors":"Ali Elyounsi, A. Kalashnikov","doi":"10.3390/ecsa-9-13337","DOIUrl":"https://doi.org/10.3390/ecsa-9-13337","url":null,"abstract":": Temperature sensors are widely employed in control systems that maintain required temperature in a vessel or container irrespective of the temperature changes in the outer environment. However, limited power of the heater/cooler (the plant of the control system) might lead to uncom-fortable or even inacceptable deviations from the required temperature. This behaviour can be mit-igated if the control system can have access not only to the present temperature in the vessel but also to the forecasted environmental temperature. This situation occurs, among others, at industrial vessels that require elevated temperatures during their operation but shut down out of hours. To start heating these to the required temperature at the beginning of a working shift wastes processing time until the required temperature is reached. It is more productive to turn on heating in advance in order to get the vessel ready on time. In order to achieve fully autonomous automatic operation, the sensor should have some intelligence and access to the temperature forecast, which can be provided over the internet. Both these requirements can be met by employing a WiFi enabled microcontroller. We present development of a predictive IoT temperature sensor based on the ESP32 microcontroller, which uses internet service to get time and weather forecast, and upload temperature logs to a cloud server for convenient remote access and storage.","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115271644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nailea Mar-Abundis, Y. Fuentes-Rubio, R. Domínguez-Cruz, J. Guzmán-Sepúlveda
{"title":"Measurement of Sugar Concentration by Multimodal Fiber Optics Sensor","authors":"Nailea Mar-Abundis, Y. Fuentes-Rubio, R. Domínguez-Cruz, J. Guzmán-Sepúlveda","doi":"10.3390/ecsa-9-13273","DOIUrl":"https://doi.org/10.3390/ecsa-9-13273","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Three-Dimensional Modelling and Visualization of Stone Inscriptions Using Close-Range Photogrammetry—A Case Study of Hero Stone","authors":"Suhas Muralidhar, A. Bhardwaj","doi":"10.3390/ecsa-9-13343","DOIUrl":"https://doi.org/10.3390/ecsa-9-13343","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117090673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: The Orinico river is in Venezuela and flows into the Carribbean sea. The chlorophyll concentration in the Ocean delta changes due to the dust deposition from the Orinoco river which affects the primary productivity. The wet and dry deposition measurements are obtained from MERRA a NASA climate reanalysis of meteorology, atmospheric chemistry, land, ocean, and aero-sols data on a broad range of weather and climate time scales and places. Researchers are not sure how wet and dry deposition from the Orinoco river affects the chlorophyll concentration in the ocean. Aerosol optical depth (AOD), dry and wet deposition data are obtained from MERRA. Altimetry data of the Orinoco river and Chlorophyll concentration data are also obtained from the Giovanni database from 2016 to March, 2022. Linear regression analysis of altimetry and chlorophyll concentration show that the later does not depend on the water levels. Univariate models for each of the parameters of AOD, wet, and dry deposition are done. Bivariate models are done adding one additional variable at a time, and finally a multivariate model is built for prediction of chlorophyll concentration. From the analysis, it is seen that the multivariate models have higher correlation between chlorophyll and the independent variables. Of all the variables wet deposition is a better predictor of chlorophyll concentration. A deep learning neural network architecture is developed for performing forecasting of chlorophyll concentration from past values.
{"title":"Chlorophyll Estimation from Multivariate Regression Analysis and Deep Learning Using Remote Sensing Data","authors":"Sriniketan Sridhar, C. del Castillo, V. Manian","doi":"10.3390/ecsa-9-13319","DOIUrl":"https://doi.org/10.3390/ecsa-9-13319","url":null,"abstract":": The Orinico river is in Venezuela and flows into the Carribbean sea. The chlorophyll concentration in the Ocean delta changes due to the dust deposition from the Orinoco river which affects the primary productivity. The wet and dry deposition measurements are obtained from MERRA a NASA climate reanalysis of meteorology, atmospheric chemistry, land, ocean, and aero-sols data on a broad range of weather and climate time scales and places. Researchers are not sure how wet and dry deposition from the Orinoco river affects the chlorophyll concentration in the ocean. Aerosol optical depth (AOD), dry and wet deposition data are obtained from MERRA. Altimetry data of the Orinoco river and Chlorophyll concentration data are also obtained from the Giovanni database from 2016 to March, 2022. Linear regression analysis of altimetry and chlorophyll concentration show that the later does not depend on the water levels. Univariate models for each of the parameters of AOD, wet, and dry deposition are done. Bivariate models are done adding one additional variable at a time, and finally a multivariate model is built for prediction of chlorophyll concentration. From the analysis, it is seen that the multivariate models have higher correlation between chlorophyll and the independent variables. Of all the variables wet deposition is a better predictor of chlorophyll concentration. A deep learning neural network architecture is developed for performing forecasting of chlorophyll concentration from past values.","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117096785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Land Use and Land Coverage Analysis with Google Earth Engine and Change Detection in the Sonipat District of the Haryana State in India","authors":"D. Rana, Maya Kumari, R. Kumari","doi":"10.3390/ecsa-9-13366","DOIUrl":"https://doi.org/10.3390/ecsa-9-13366","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129037301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Continuous Rapid Accurate Measurement of the Output Frequency of Ultrasonic Oscillating Temperature Sensors","authors":"Ali Elyounsi, A. Kalashnikov","doi":"10.3390/ecsa-9-13340","DOIUrl":"https://doi.org/10.3390/ecsa-9-13340","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124498746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Morphometric Analysis of Suswa River Basin Using Geospatial Techniques","authors":"Ashish Mani, Maya Kumari, R. Badola","doi":"10.3390/ecsa-9-13225","DOIUrl":"https://doi.org/10.3390/ecsa-9-13225","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132026956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals","authors":"M. Mohiuddin, Md. Saiful Islam","doi":"10.3390/ecsa-9-13339","DOIUrl":"https://doi.org/10.3390/ecsa-9-13339","url":null,"abstract":"","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130810299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Moshe Avraham, Harel Yadid, Tanya Blank, Y. Nemirovsky
: Air temperature is an important meteorological parameter and is used for numerous pur-poses. Air temperature is usually observed using a radiation shield with ventilation, to obtain proper measurements by providing shade from direct solar radiation and increasing the heat exchange between the sensor and atmosphere. In rural areas, such auxiliary equipment is not available and it is still a challenge to obtain the air temperature accurately without aspiration. In this study, we describe a novel qualified CMOS-MEMS low-cost sensor, dubbed Digital TMOS, for remote temperature sensing of air temperature. The novel key ideas of this study are (i) the use of the Digital-TMOS, (ii) a narrow optical band pass filter (4.26 um +/ − 90 nm) corresponding to the CO 2 carbon dioxide absorption band; (iii) measuring simultaneously the weather parameters.
气温是一个重要的气象参数，有许多用途。通常使用带通风的辐射屏蔽来观察空气温度，通过遮挡太阳直接辐射和增加传感器与大气之间的热交换来获得适当的测量结果。在农村地区，这种辅助设备是不可用的，在没有吸气的情况下准确获得空气温度仍然是一个挑战。在这项研究中，我们描述了一种新的合格的CMOS-MEMS低成本传感器，称为数字TMOS，用于空气温度的远程温度传感。本研究新颖的关键思想是:(i)使用Digital-TMOS， (ii)与CO 2二氧化碳吸收带对应的窄光带通滤波器(4.26 um +/−90 nm);(iii)同时测量天气参数。
{"title":"Air Temperature Measurement Using CMOS-SOI-MEMS Sensor Dubbed Digital TMOS","authors":"Moshe Avraham, Harel Yadid, Tanya Blank, Y. Nemirovsky","doi":"10.3390/ecsa-9-13224","DOIUrl":"https://doi.org/10.3390/ecsa-9-13224","url":null,"abstract":": Air temperature is an important meteorological parameter and is used for numerous pur-poses. Air temperature is usually observed using a radiation shield with ventilation, to obtain proper measurements by providing shade from direct solar radiation and increasing the heat exchange between the sensor and atmosphere. In rural areas, such auxiliary equipment is not available and it is still a challenge to obtain the air temperature accurately without aspiration. In this study, we describe a novel qualified CMOS-MEMS low-cost sensor, dubbed Digital TMOS, for remote temperature sensing of air temperature. The novel key ideas of this study are (i) the use of the Digital-TMOS, (ii) a narrow optical band pass filter (4.26 um +/ − 90 nm) corresponding to the CO 2 carbon dioxide absorption band; (iii) measuring simultaneously the weather parameters.","PeriodicalId":427594,"journal":{"name":"The 9th International Electronic Conference on Sensors and Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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