Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9940144
C. Medina-Ramos, D. Carbonel-Olazabal, J. Betetta-Gomez, Irene Tafur-Anzualdo
This paper presents a model based on the first-order Volterra series with Laguerre polynomials to identify the dynamics of global temperature anomalies in the last century. The independent variables to use in the model must be capable of predicting future anomalies, which should be chosen after analyzing the parameters used in significant models to predict global warming. Consequently, based on such studies and the criteria of this research, the selected set of parameters related to the proposed model is the following: the anthropogenic CO2, the total solar irradiance, global population, and ocean heat content. Focused on obtaining that model, the Volterra series, six Laguerre polynomials, unitary normalization, and the correlation factors between variables were applied to identify such anomalies. Results show a mathematical model multivariate techniques consistently can outperform other models like statistical models.Further, the performance of the Volterra-Laguerre model provides evidence that the variables in this proposal can forecast temperature anomalies with an error of less than 5% in the last thirty years of the period study. The proposed model has identified the dynamics of the global temperature anomaly, and the variables reveal that industrial activities and human actions must be part of the reflection to implement international policies that cushion climatic anomalies. Safely, only effective rules will prevent the increasing global warming effect and consequently deterioration of the marine habitat, the alteration of the water cycle, and the reproductive change of vegetables.
{"title":"Global Temperature Anomaly by Volterra-Laguerre Model from CO2 Emission, Solar Irradiance, Population, and the Oceans Heat Content","authors":"C. Medina-Ramos, D. Carbonel-Olazabal, J. Betetta-Gomez, Irene Tafur-Anzualdo","doi":"10.1109/ARGENCON55245.2022.9940144","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9940144","url":null,"abstract":"This paper presents a model based on the first-order Volterra series with Laguerre polynomials to identify the dynamics of global temperature anomalies in the last century. The independent variables to use in the model must be capable of predicting future anomalies, which should be chosen after analyzing the parameters used in significant models to predict global warming. Consequently, based on such studies and the criteria of this research, the selected set of parameters related to the proposed model is the following: the anthropogenic CO2, the total solar irradiance, global population, and ocean heat content. Focused on obtaining that model, the Volterra series, six Laguerre polynomials, unitary normalization, and the correlation factors between variables were applied to identify such anomalies. Results show a mathematical model multivariate techniques consistently can outperform other models like statistical models.Further, the performance of the Volterra-Laguerre model provides evidence that the variables in this proposal can forecast temperature anomalies with an error of less than 5% in the last thirty years of the period study. The proposed model has identified the dynamics of the global temperature anomaly, and the variables reveal that industrial activities and human actions must be part of the reflection to implement international policies that cushion climatic anomalies. Safely, only effective rules will prevent the increasing global warming effect and consequently deterioration of the marine habitat, the alteration of the water cycle, and the reproductive change of vegetables.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123959639","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939876
Diego S. Comas, Agustín Amalfitano, G.J. Meschino, V. Ballarin
La textura es una característica relevante en muchos tipos de imágenes y su representación e identificación es uno de los problemas esenciales y más desafiantes del procesamiento digital de imágenes. Una región con una textura determinada tiene propiedades estadísticas específicas, repitiendo ciertos grupos de píxeles periódicamente con algún grado de variabilidad en su apariencia y posición relativa. Dentro de las redes basadas en aprendizaje profundo, las Redes Neuronales Convolucionales (CNN) han tomado enorme impulso en procesamiento de imágenes. Su potencial está en que, una vez entrenadas, contienen información que puede ampliar el campo de conocimiento sobre el problema bajo estudio, si se encuentran mecanismos adecuados para su análisis e interpretación. La visualización de características brinda un marco adecuado para esta tarea, generando imágenes que describen qué es lo que cada filtro describe. Con un enfoque adecuado, su análisis permite dar una interpretación de las características y extraer conocimiento. En este trabajo se presenta un enfoque para la interpretación de texturas a partir de visualización de características, utilizando CNN entrenadas con bases de datos de texturas. Los resultados indican que el enfoque propuesto permite identificar patrones/características descriptas por cada filtro, dando interpretación y significado, partiendo de términos asociados con textura, como rugosidad, ondulaciones, transiciones, bordes y formas geométricas.
{"title":"Interpretación y visualización de características en texturas mediante Redes Neuronales Convolucionales","authors":"Diego S. Comas, Agustín Amalfitano, G.J. Meschino, V. Ballarin","doi":"10.1109/ARGENCON55245.2022.9939876","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939876","url":null,"abstract":"La textura es una característica relevante en muchos tipos de imágenes y su representación e identificación es uno de los problemas esenciales y más desafiantes del procesamiento digital de imágenes. Una región con una textura determinada tiene propiedades estadísticas específicas, repitiendo ciertos grupos de píxeles periódicamente con algún grado de variabilidad en su apariencia y posición relativa. Dentro de las redes basadas en aprendizaje profundo, las Redes Neuronales Convolucionales (CNN) han tomado enorme impulso en procesamiento de imágenes. Su potencial está en que, una vez entrenadas, contienen información que puede ampliar el campo de conocimiento sobre el problema bajo estudio, si se encuentran mecanismos adecuados para su análisis e interpretación. La visualización de características brinda un marco adecuado para esta tarea, generando imágenes que describen qué es lo que cada filtro describe. Con un enfoque adecuado, su análisis permite dar una interpretación de las características y extraer conocimiento. En este trabajo se presenta un enfoque para la interpretación de texturas a partir de visualización de características, utilizando CNN entrenadas con bases de datos de texturas. Los resultados indican que el enfoque propuesto permite identificar patrones/características descriptas por cada filtro, dando interpretación y significado, partiendo de términos asociados con textura, como rugosidad, ondulaciones, transiciones, bordes y formas geométricas.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125269272","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939919
Sergio N. Bragagnolo, Rodrigo M. Schierloh, Jorge C. Vaschetti, J. R. Vega
Los grandes usuarios en Argentina tienen una tarifa especifica que establece dos escalones para el precio de la energía, dependiendo si su demanda es superior (o igual) a 300 kW o inferior. En el primer caso, el costo de la energía es mayor al 40 % y es el motivo principal para la aplicación de estrategias de gestión de demanda en los usuarios con una potencia cercana a los 300 kW. Al gestionar el consumo, el beneficio es doble, dado que se reduce significativamente la factura eléctrica al evitar que el usuario exceda los 300 kW y se disminuye el consumo. En este artículo, se propone una gestión óptima de los aires acondicionados de un centro de diagnóstico por imágenes que tiene picos de potencia superiores a 300 kW. La gestión considera a los equipos de aire acondicionado como las únicas cargas controlables y permite minimizar los costos de energía mientras maximiza el confort térmico. La estrategia se basa en un control predictivo de horizontes deslizantes que utiliza un algoritmo genético para resolver el problema de optimización. Además, el control contempla restricciones eléctricas y de temperatura. El desempeño se evalúa contra el control on-off de los aires acondicionados del centro, y los resultados muestran una reducción significativa del costo eléctrico y un mantenimiento del confort debido al recorte de los picos de demanda y a una pequeña disminución de la energía consumida.
{"title":"Optimizacion del Costo Eléctrico de Grandes Demandas en Argentina por Medio de la Gestión Predictiva del Sistema de Climatizacion","authors":"Sergio N. Bragagnolo, Rodrigo M. Schierloh, Jorge C. Vaschetti, J. R. Vega","doi":"10.1109/ARGENCON55245.2022.9939919","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939919","url":null,"abstract":"Los grandes usuarios en Argentina tienen una tarifa especifica que establece dos escalones para el precio de la energía, dependiendo si su demanda es superior (o igual) a 300 kW o inferior. En el primer caso, el costo de la energía es mayor al 40 % y es el motivo principal para la aplicación de estrategias de gestión de demanda en los usuarios con una potencia cercana a los 300 kW. Al gestionar el consumo, el beneficio es doble, dado que se reduce significativamente la factura eléctrica al evitar que el usuario exceda los 300 kW y se disminuye el consumo. En este artículo, se propone una gestión óptima de los aires acondicionados de un centro de diagnóstico por imágenes que tiene picos de potencia superiores a 300 kW. La gestión considera a los equipos de aire acondicionado como las únicas cargas controlables y permite minimizar los costos de energía mientras maximiza el confort térmico. La estrategia se basa en un control predictivo de horizontes deslizantes que utiliza un algoritmo genético para resolver el problema de optimización. Además, el control contempla restricciones eléctricas y de temperatura. El desempeño se evalúa contra el control on-off de los aires acondicionados del centro, y los resultados muestran una reducción significativa del costo eléctrico y un mantenimiento del confort debido al recorte de los picos de demanda y a una pequeña disminución de la energía consumida.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129830121","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939920
M. Bierzychudek, Axel Britos, J. Casais
This paper presents a surge protection module designed to protect measurement instruments against overcurrent and overvoltage. The module was designed to be used with wireless instruments for high voltage metrology, but it can also be used with any other type of instrumentation. The characterization performed shows that the surge protection module introduces negligible errors in measurements.
{"title":"Surge protection module for wireless instruments used on a High Voltage Metrology","authors":"M. Bierzychudek, Axel Britos, J. Casais","doi":"10.1109/ARGENCON55245.2022.9939920","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939920","url":null,"abstract":"This paper presents a surge protection module designed to protect measurement instruments against overcurrent and overvoltage. The module was designed to be used with wireless instruments for high voltage metrology, but it can also be used with any other type of instrumentation. The characterization performed shows that the surge protection module introduces negligible errors in measurements.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129233353","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939713
Ezequiel A. Marranghelli, Ramon Lopez La Valle, P. A. Roncagliolo
In the global navigation satellites systems, the trav-eling time determination of the travelling signals is the main task of the receivers. For precise positioning applications, the accuracy is expected to be less than 1 ns to limit the error to the centimeters level. Hence, the influence of the responses of the antennas cannot be ignored since they can introduce delays of the order of 10 ns, which translates into errors of a few meters. The problem becomes even more complex when compact antenna arrays are used since the mutual coupling between their elements is considerable. In this work, a signal pre-processing scheme for coupled antenna arrays to compensate their space-frequency responses is described and analyzed.
{"title":"Space-Frequency Orthonormal Compensation Method for GNSS Compact Antenna Array Designs","authors":"Ezequiel A. Marranghelli, Ramon Lopez La Valle, P. A. Roncagliolo","doi":"10.1109/ARGENCON55245.2022.9939713","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939713","url":null,"abstract":"In the global navigation satellites systems, the trav-eling time determination of the travelling signals is the main task of the receivers. For precise positioning applications, the accuracy is expected to be less than 1 ns to limit the error to the centimeters level. Hence, the influence of the responses of the antennas cannot be ignored since they can introduce delays of the order of 10 ns, which translates into errors of a few meters. The problem becomes even more complex when compact antenna arrays are used since the mutual coupling between their elements is considerable. In this work, a signal pre-processing scheme for coupled antenna arrays to compensate their space-frequency responses is described and analyzed.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128503634","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9940000
Alejandro J. Venere, Sebastian Pazos, M. Hurtado
We propose a receiver circuit for radar systems operating at microwave frequency that consists of a quadrature hybrid coupler connected to two power detectors. The device employs stretch processing to obtain high range resolution with low ADC requirements. We derive and validate a theoretical model of the proposed architecture using a prototype simulation designed for a 5.2 GHz center frequency. The simulation results match the theoretical behaviour and demonstrate that this approach achieves a typical range resolution, up to 37.5 cm, with low cost and low power consumption.
{"title":"Low-cost High-Resolution Radar System Using Stretch Processing","authors":"Alejandro J. Venere, Sebastian Pazos, M. Hurtado","doi":"10.1109/ARGENCON55245.2022.9940000","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9940000","url":null,"abstract":"We propose a receiver circuit for radar systems operating at microwave frequency that consists of a quadrature hybrid coupler connected to two power detectors. The device employs stretch processing to obtain high range resolution with low ADC requirements. We derive and validate a theoretical model of the proposed architecture using a prototype simulation designed for a 5.2 GHz center frequency. The simulation results match the theoretical behaviour and demonstrate that this approach achieves a typical range resolution, up to 37.5 cm, with low cost and low power consumption.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131361445","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9940003
N. D. Leo, Emiliano Jozami, Enrique Montero Bulacio, N. Rigalli, M. Romagnoli, Ivana G. Barbona, M. Portapila, S. Feldman
Sporobolus spartinus (Trin.) P.M. Peterson & Saarela (=Spartina argentinensis Parodi, common name: espartillo) is a perennial C4 grass that dominates in many communities from a region named "Bajos Submeridionales" in the northern part of Santa Fe province. It produces high quantity of biomass but, due to its low digestibility, cattle risers often burn it in order to stimulate the growth of more tender leaves. This burnt biomass could be used in order to produce bioenergy, thus knowing its availability is mandatory in order to select areas with higher biomass. In this research, S. spartinus biomass reflectance from a farm near the town of Galvez was measured with i: a multispectral camera mounted in a Drone and ii: a hyperspectral camera in a spectrometer in two different dates, one in October of 2019 and the other in March of 2020. S. spartinus biomass presented higher total biomass (average of 7700 kg of dry matter per hectare) in October and most of it (67%) was senescent biomass while in March, total biomass accounted for 5300 kg per hectare and only 38% of it was standing dead biomass. A Normalized index was able to explain 33% of total biomass variability with both instruments. Due to the fact that either green or senescent biomass can be used for bioenergy, our aim was to estimate those using remotely sensed multispectral images.
spartinus(三)下午Peterson & Saarela (=Spartina argentinensis Parodi，通用名称:espartiillo)是一种多年生C4草，在圣达菲省北部名为“Bajos潜水”的地区的许多社区中占主导地位。它产生大量的生物质，但由于其消化率低，养牛者经常燃烧它，以刺激更嫩的叶子的生长。这种燃烧的生物质可以用来生产生物能源，因此了解其可用性是强制性的，以便选择具有较高生物质的地区。在这项研究中，研究人员在2019年10月和2020年3月两个不同的日期，分别用安装在无人机上的多光谱相机和光谱仪上的高光谱相机测量了加尔韦兹镇附近一个农场的S. spartinus生物量反射率。10月米草总生物量较高(平均干物质7700 kg /公顷)，其中大部分(67%)为衰老生物量，3月总生物量为5300 kg /公顷，枯死生物量仅占38%。两种仪器的归一化指数都能解释33%的总生物量变异。由于绿色或衰老的生物质都可以用于生物能源，我们的目的是利用遥感多光谱图像来估计这些生物质。
{"title":"Biomass Estimation of Sporobolus spartinus with Multispectral Images from a Fixed-Wing Unmanned Aerial Vehicle and a Spectrometer","authors":"N. D. Leo, Emiliano Jozami, Enrique Montero Bulacio, N. Rigalli, M. Romagnoli, Ivana G. Barbona, M. Portapila, S. Feldman","doi":"10.1109/ARGENCON55245.2022.9940003","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9940003","url":null,"abstract":"Sporobolus spartinus (Trin.) P.M. Peterson & Saarela (=Spartina argentinensis Parodi, common name: espartillo) is a perennial C4 grass that dominates in many communities from a region named \"Bajos Submeridionales\" in the northern part of Santa Fe province. It produces high quantity of biomass but, due to its low digestibility, cattle risers often burn it in order to stimulate the growth of more tender leaves. This burnt biomass could be used in order to produce bioenergy, thus knowing its availability is mandatory in order to select areas with higher biomass. In this research, S. spartinus biomass reflectance from a farm near the town of Galvez was measured with i: a multispectral camera mounted in a Drone and ii: a hyperspectral camera in a spectrometer in two different dates, one in October of 2019 and the other in March of 2020. S. spartinus biomass presented higher total biomass (average of 7700 kg of dry matter per hectare) in October and most of it (67%) was senescent biomass while in March, total biomass accounted for 5300 kg per hectare and only 38% of it was standing dead biomass. A Normalized index was able to explain 33% of total biomass variability with both instruments. Due to the fact that either green or senescent biomass can be used for bioenergy, our aim was to estimate those using remotely sensed multispectral images.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131369727","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939831
W. Flores, Gracia M. Pineda
Social inclusion in energy regulation is a key issue in Honduras, due to the existence of various social, economic, and cultural factors that should be included in any energy project. Honduras is home to several ethnic communities, a young population that is on the rise, an unequal society with a wide gender gap, poor access to opportunities for people with some type of disability, and where both extremes of economic groups converge, those with a high purchasing power as well as those in poverty and extreme poverty. In addition to these, the Honduran population has witnessed many social conflicts such as the coup d'etat in 2009.Honduras is rich in renewable resources for power generation. Thus, the study of the interaction among the supply/demand and social inclusion in energy regulation in Honduras is a very important issue given the growth of energy demand due to the economic development as well as the growth of population.In this work, an overview of the current situation of social inclusion in energy regulation in Honduras is shown. By considering the legislation related to the energy market, the service as a public good of National Security, oil exploration, supply, and demand of electricity as well as the production of biofuels. Finally, some measures to existing legislation and public policies which consider social inclusion in energy regulation in Honduras are proposed.
{"title":"Social Inclusion in Energy Regulation of Honduras: A necessary analysis","authors":"W. Flores, Gracia M. Pineda","doi":"10.1109/ARGENCON55245.2022.9939831","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939831","url":null,"abstract":"Social inclusion in energy regulation is a key issue in Honduras, due to the existence of various social, economic, and cultural factors that should be included in any energy project. Honduras is home to several ethnic communities, a young population that is on the rise, an unequal society with a wide gender gap, poor access to opportunities for people with some type of disability, and where both extremes of economic groups converge, those with a high purchasing power as well as those in poverty and extreme poverty. In addition to these, the Honduran population has witnessed many social conflicts such as the coup d'etat in 2009.Honduras is rich in renewable resources for power generation. Thus, the study of the interaction among the supply/demand and social inclusion in energy regulation in Honduras is a very important issue given the growth of energy demand due to the economic development as well as the growth of population.In this work, an overview of the current situation of social inclusion in energy regulation in Honduras is shown. By considering the legislation related to the energy market, the service as a public good of National Security, oil exploration, supply, and demand of electricity as well as the production of biofuels. Finally, some measures to existing legislation and public policies which consider social inclusion in energy regulation in Honduras are proposed.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126563974","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939756
D. H. Alustiza, Nélida Araceli Russo, M. Mineo, Anahí López, Yury Andrés Villagrán Zaccardi
This paper presents the design of a packaging applicable to an experimental optical fiber sensor to measure RH inside concrete structures. RH optical sensor is based on a Long Period Fiber Grating (LPG) functionalized with a suitable humidity sensitive film deposited on it. A functional test was carried out on the final physical sensor configuration to evaluate the impact of using the encapsulation on the sensing performance. Characterization test results are shown taking into account design considerations and assumptions made. Finally, the encapsulation use feasibility is concluded.
{"title":"Packaging Design Assessment for an Experimental Fiber Optic Humidity Sensor Embeddable in Concrete Structures","authors":"D. H. Alustiza, Nélida Araceli Russo, M. Mineo, Anahí López, Yury Andrés Villagrán Zaccardi","doi":"10.1109/ARGENCON55245.2022.9939756","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939756","url":null,"abstract":"This paper presents the design of a packaging applicable to an experimental optical fiber sensor to measure RH inside concrete structures. RH optical sensor is based on a Long Period Fiber Grating (LPG) functionalized with a suitable humidity sensitive film deposited on it. A functional test was carried out on the final physical sensor configuration to evaluate the impact of using the encapsulation on the sensing performance. Characterization test results are shown taking into account design considerations and assumptions made. Finally, the encapsulation use feasibility is concluded.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126670493","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}
Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939822
C. Stadler, V. S. Fusé, A. Faramiñán, Santiago Linares, P. Juliarena
Methane (CH4) is the second more important greenhouse gas (GHG), respecting its potential global warming. Although cities represent only 2% of the global surface, they are responsible for 70% of the GHGs emissions. Thus, it is necessary to study their atmospheric concentration variations to identify the main sources and mitigate their emissions. The main objective of this study is to estimate the CH4 urban concentration using satellite products. To do this, first the atmospheric CH4 concentration was analyzed in 16 sites in the city of Tandil (Argentina) for one year; thus, the observed data could be registered. It was found that in winter and autumn, the concentrations were higher than in summer and spring. Then, the data from Landsat 8 satellite were used to obtain the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). Linear regression was applied, taking into account the seasonal CH4 concentration as the dependent variable, and the NDVI and LST as the independent variables. The adjusted R2 was 0.53, and the principal variable that affected the CH4 concentration was NDVI, which is related to urbanization. Finally, the mathematical expression from the regression was applied to obtain CH4 urban concentration, which allows us to analyze the temporal and spatial variations.
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