Jonathan Almonacid - Academia.edu (original) (raw)
Papers by Jonathan Almonacid
Marine Mammal Science, 2022
2018 Congreso Argentino de Ciencias de la Informática y Desarrollos de Investigación (CACIDI), 2018
The emergence of uncontrollable noise from diverse sources possess several difficulties in scanni... more The emergence of uncontrollable noise from diverse sources possess several difficulties in scanning 3D objects. In the case of animals in the wild this is especially hard to manage since their movements are unavoidable during the acquisition process. This causes distortions that compromise the reconstruction process significantly, rendering the whole acquisition procedure useless, or in the best case requiring strenuous assisted editing tasks in order to obtain viable results. In this work we propose a method for detecting and filtering noisy zones in meshes generated through point clouds acquired from in-situ scanning southern elephant seals in their natural habitat. We trained a CNN model with meshes resulting from noisy and clean acquisitions. The trained neural network is able to filter, in subsequent acquisitions, those parts in the mesh that do not belong to the original objects. This greatly reduces or eliminates the amount of manual editing work that is required in order to ...
Recent advances in mobile and wearable technology in the last few years have made the optimizatio... more Recent advances in mobile and wearable technology in the last few years have made the optimization of data collection processes possible in diverse fields.
AJEA, 2020
El Procesamiento de imágenes es una de las ramas de la informática de mayor crecimiento en los úl... more El Procesamiento de imágenes es una de las ramas de la informática de mayor crecimiento en los últimos tiempos. Esto no solo se debe a la amplitud de sus aplicaciones, sino también a que el avance de la tecnología que se viene experimentando en estos años, junto con el surgimiento de herramientas para un rápidoaprovechamiento de las mismas, ha hecho posible que algoritmos cuyos costos de procesamiento eran muy altos hasta hace unos años atrás, puedan ahora ser ejecutados en períodos de tiempo relativamente cortos.Por otro lado, el abaratamiento de costos en elementos relacionados a la captura de información visual ha incentivado enormemente la realización de estudios afines a su aplicación fuera del ámbito industrial. En este contexto, los sensores de profundidad han abierto un nuevo campo de estudio permitiendo generar y trabajar con modelos tridimensionales de elementos del mundo real tal y como son en lugar de los modelos prediseñados.En el caso particular de la biología, se ha a...
Food Additives & Contaminants: Part A, 2019
Spices are added in order to enhance the organoleptic characteristics of food and culinary dishes... more Spices are added in order to enhance the organoleptic characteristics of food and culinary dishes, making them more attractive for consumers. The use of illicit cheap colourants might be profitable along the food supply chain, posing undue risks to human health. This work evaluates the feasibility of NIR spectroscopy with chemometrics as a rapid, simple, non-destructive and affordable screening tool to determine the presence of Sudan I, II, III, IV and Para-red dyes in paprika. The dataset comprised unadulterated and adulterated samples with the five studied dyes at different concentration levels. Several multivariate classification models were built with Linear Discriminant Analysis (LDA) and different machine learning techniques. Preliminary results show that a classifier based on only six wavenumbers is able to determine the presence of some of these dyes in food samples in levels that may represent risk to human health. Sensitivities and specificities above 90% were obtained in almost all cases. These results show the feasibility of inexpensive and portable devices that can be useful for screening out adulterated stock along the food chain supply.
Marine Mammal Science, 2022
2018 Congreso Argentino de Ciencias de la Informática y Desarrollos de Investigación (CACIDI), 2018
The emergence of uncontrollable noise from diverse sources possess several difficulties in scanni... more The emergence of uncontrollable noise from diverse sources possess several difficulties in scanning 3D objects. In the case of animals in the wild this is especially hard to manage since their movements are unavoidable during the acquisition process. This causes distortions that compromise the reconstruction process significantly, rendering the whole acquisition procedure useless, or in the best case requiring strenuous assisted editing tasks in order to obtain viable results. In this work we propose a method for detecting and filtering noisy zones in meshes generated through point clouds acquired from in-situ scanning southern elephant seals in their natural habitat. We trained a CNN model with meshes resulting from noisy and clean acquisitions. The trained neural network is able to filter, in subsequent acquisitions, those parts in the mesh that do not belong to the original objects. This greatly reduces or eliminates the amount of manual editing work that is required in order to ...
Recent advances in mobile and wearable technology in the last few years have made the optimizatio... more Recent advances in mobile and wearable technology in the last few years have made the optimization of data collection processes possible in diverse fields.
AJEA, 2020
El Procesamiento de imágenes es una de las ramas de la informática de mayor crecimiento en los úl... more El Procesamiento de imágenes es una de las ramas de la informática de mayor crecimiento en los últimos tiempos. Esto no solo se debe a la amplitud de sus aplicaciones, sino también a que el avance de la tecnología que se viene experimentando en estos años, junto con el surgimiento de herramientas para un rápidoaprovechamiento de las mismas, ha hecho posible que algoritmos cuyos costos de procesamiento eran muy altos hasta hace unos años atrás, puedan ahora ser ejecutados en períodos de tiempo relativamente cortos.Por otro lado, el abaratamiento de costos en elementos relacionados a la captura de información visual ha incentivado enormemente la realización de estudios afines a su aplicación fuera del ámbito industrial. En este contexto, los sensores de profundidad han abierto un nuevo campo de estudio permitiendo generar y trabajar con modelos tridimensionales de elementos del mundo real tal y como son en lugar de los modelos prediseñados.En el caso particular de la biología, se ha a...
Food Additives & Contaminants: Part A, 2019
Spices are added in order to enhance the organoleptic characteristics of food and culinary dishes... more Spices are added in order to enhance the organoleptic characteristics of food and culinary dishes, making them more attractive for consumers. The use of illicit cheap colourants might be profitable along the food supply chain, posing undue risks to human health. This work evaluates the feasibility of NIR spectroscopy with chemometrics as a rapid, simple, non-destructive and affordable screening tool to determine the presence of Sudan I, II, III, IV and Para-red dyes in paprika. The dataset comprised unadulterated and adulterated samples with the five studied dyes at different concentration levels. Several multivariate classification models were built with Linear Discriminant Analysis (LDA) and different machine learning techniques. Preliminary results show that a classifier based on only six wavenumbers is able to determine the presence of some of these dyes in food samples in levels that may represent risk to human health. Sensitivities and specificities above 90% were obtained in almost all cases. These results show the feasibility of inexpensive and portable devices that can be useful for screening out adulterated stock along the food chain supply.