Pub Date : 2023-09-01DOI: 10.4067/s0718-33052023000100217
Laura Gallardo Contreras, Fernando Medina Quispe, Mauricio Oyarzun Silva
This work applies a Systematic Literature Review (SLR) based on the "Systematic Review Process to Software Engineering" methodology to determine if, in a natural disaster situation in the coastal city of Iquique, there are wireless communication technologies and protocols to permit the connectivity even if the communication is turn off. The SLR defines two questions. The first one aims to identify the most likely natural disaster situation for Iquique. The most common natural disaster situation was determined using information from the literature analyzed, along with its conditions, occurrence, and impact on the city. The second question depends on the answer to the first one and seeks to find the most suitable technology for the natural disaster situation obtained in the first question. The articles were classified based on their indexing and multi-phase review. The results show the most suitable technology available for mobile device communication considering the most frequent scenario of natural disasters in the city of Iquique.
{"title":"A systematic review of how wireless Communications work and interact in a natural disaster situation in Iquique city","authors":"Laura Gallardo Contreras, Fernando Medina Quispe, Mauricio Oyarzun Silva","doi":"10.4067/s0718-33052023000100217","DOIUrl":"https://doi.org/10.4067/s0718-33052023000100217","url":null,"abstract":"This work applies a Systematic Literature Review (SLR) based on the \"Systematic Review Process to Software Engineering\" methodology to determine if, in a natural disaster situation in the coastal city of Iquique, there are wireless communication technologies and protocols to permit the connectivity even if the communication is turn off. The SLR defines two questions. The first one aims to identify the most likely natural disaster situation for Iquique. The most common natural disaster situation was determined using information from the literature analyzed, along with its conditions, occurrence, and impact on the city. The second question depends on the answer to the first one and seeks to find the most suitable technology for the natural disaster situation obtained in the first question. The articles were classified based on their indexing and multi-phase review. The results show the most suitable technology available for mobile device communication considering the most frequent scenario of natural disasters in the city of Iquique.","PeriodicalId":40015,"journal":{"name":"Ingeniare","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134914329","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 : 2023-09-01DOI: 10.4067/s0718-33052023000100220
Carlos Abel Perdomo Pérez, Ariel Santos Fuentefria, Alfredo M. del Castillo Serpa, Urbano José Pedraza Ferreira
This work developed a hybrid optimization algorithm called Combinatorial Optimization with a CoordÃnate Search Method, which allows for finding the optimal locations and capacities of distributed generation plants in an electrical distribution network. The algorithm was validated in the IEEE 69-bus test system, compared with the Elephant Herding Optimization method. Three scenarios were defined that were executed on the test system. In the first scenario, up to four distributed generation plants were located, reducing the value of the objective function to 0.0177. In the second scenario, satisfactory solutions were found that satisfied critical voltage and current restraints in the electrical system. All stresses were between 1.00 and 1.05 per unit for the first case. In the second case, two lines had the maximum current to flow through them limited to 1.00 ampere. In the third scenario, the algorithm was executed in the presence of capacitor banks. In this case, satisfactory results were also obtained, with reagent consumption in one of the distributed generation plants.
{"title":"Combinatorial optimization algorithm with coordínate search method to lócate and size distributed generation plants in a radial distribution electrical system","authors":"Carlos Abel Perdomo Pérez, Ariel Santos Fuentefria, Alfredo M. del Castillo Serpa, Urbano José Pedraza Ferreira","doi":"10.4067/s0718-33052023000100220","DOIUrl":"https://doi.org/10.4067/s0718-33052023000100220","url":null,"abstract":"This work developed a hybrid optimization algorithm called Combinatorial Optimization with a CoordÃnate Search Method, which allows for finding the optimal locations and capacities of distributed generation plants in an electrical distribution network. The algorithm was validated in the IEEE 69-bus test system, compared with the Elephant Herding Optimization method. Three scenarios were defined that were executed on the test system. In the first scenario, up to four distributed generation plants were located, reducing the value of the objective function to 0.0177. In the second scenario, satisfactory solutions were found that satisfied critical voltage and current restraints in the electrical system. All stresses were between 1.00 and 1.05 per unit for the first case. In the second case, two lines had the maximum current to flow through them limited to 1.00 ampere. In the third scenario, the algorithm was executed in the presence of capacitor banks. In this case, satisfactory results were also obtained, with reagent consumption in one of the distributed generation plants.","PeriodicalId":40015,"journal":{"name":"Ingeniare","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135736152","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 : 2023-09-01DOI: 10.4067/s0718-33052023000100218
Jorge Luís Inche Mitma, Alfonso Ramón Chung Pinzás
This article aims to determine the relationship between the latent aptitude and attitude variables in the typology of the entrepreneur. The data were collected from a sample of 140 entrepreneurs using a Likert scale questionnaire and processed through multivariate analysis using the confirmatory factor analysis tool. As a result, it can be seen, in the various calculated indicators, that the model presents a level of adjustment within the appropriate parameters, and discriminant validity and reliability would not require specification; therefore, the model is adequate to measure the typology of the entrepreneur in the latent variables studied. This research is relevant because it provides business incubators with a basis on which they can structure their various programs and measure the results obtained from them.
{"title":"Modelo de relación entre la actitud y aptitud en la tipología del emprendedor","authors":"Jorge Luís Inche Mitma, Alfonso Ramón Chung Pinzás","doi":"10.4067/s0718-33052023000100218","DOIUrl":"https://doi.org/10.4067/s0718-33052023000100218","url":null,"abstract":"This article aims to determine the relationship between the latent aptitude and attitude variables in the typology of the entrepreneur. The data were collected from a sample of 140 entrepreneurs using a Likert scale questionnaire and processed through multivariate analysis using the confirmatory factor analysis tool. As a result, it can be seen, in the various calculated indicators, that the model presents a level of adjustment within the appropriate parameters, and discriminant validity and reliability would not require specification; therefore, the model is adequate to measure the typology of the entrepreneur in the latent variables studied. This research is relevant because it provides business incubators with a basis on which they can structure their various programs and measure the results obtained from them.","PeriodicalId":40015,"journal":{"name":"Ingeniare","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134914328","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 : 2023-08-01DOI: 10.4067/s0718-33052023000100211
Adolfo González, Mauricio Amagada
Demand planning related to making purchases of SKUs to maintain the SLA given by the company’s strategy and thus avoid stock breaks has an important role in the operation of the supply chain and the company’s operation. Demand forecasts based on qualitative methods and manual methods based on historical data obtained impact on production planning, consequently, the fulfillment of the products the customer requires. The objective of defining and implementing a purchasing recommender has been raised based on the machine learning model that more effectively adapts to variations in demand for products classified under an ABC model. Scikit-learn libraries are used to implement demand prediction models trained with historical product information. The result is a proposed prediction model with a better confidence level than the company’s current prediction model.
{"title":"Improvement in the purchase of imported goods through machine learning models for intelligent decision making","authors":"Adolfo González, Mauricio Amagada","doi":"10.4067/s0718-33052023000100211","DOIUrl":"https://doi.org/10.4067/s0718-33052023000100211","url":null,"abstract":"Demand planning related to making purchases of SKUs to maintain the SLA given by the company’s strategy and thus avoid stock breaks has an important role in the operation of the supply chain and the company’s operation. Demand forecasts based on qualitative methods and manual methods based on historical data obtained impact on production planning, consequently, the fulfillment of the products the customer requires. The objective of defining and implementing a purchasing recommender has been raised based on the machine learning model that more effectively adapts to variations in demand for products classified under an ABC model. Scikit-learn libraries are used to implement demand prediction models trained with historical product information. The result is a proposed prediction model with a better confidence level than the company’s current prediction model.","PeriodicalId":40015,"journal":{"name":"Ingeniare","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87241170","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 : 2023-08-01DOI: 10.4067/s0718-33052023000100215
Andrés Alejandro Garcés Cadena, Oswaldo Aníbal Menéndez Granizo, Edgar Patricio Córdova, Alvaro Javier Prado Romo
La industria agrÃcola comprende una actividad de marcada influencia sobre el crecimiento económico y calidad de vida de las personas. Dada la necesidad de cubrir la demanda de alimentos debido al crecimiento poblacional, actualmente se requieren de sistemas capaces de optimizar el rendimiento del cultivo. Es asà como este trabajo contribuye con una herramienta práctica para asistir al agricultor en tareas de reconocimiento de calidad de fruta, la misma que le permite mejorar el proceso de cuantificación de manzana y monitoreo del estado cosechable de la fruta mediante el uso visión por computador y algoritmos de aprendizaje profundo. El sistema propuesto presenta i) la detección del tipo de manzanas para el conteo y ii) la clasificación de su calidad para la inspección y validación de la fruta por categorÃa. Para la detección del tipo de manzana se utiliza el modelo de red de detección SSD-MobileNet y para la segmentación de instancias de calidad a nivel de pÃxel se emplea una red neuronal convolucional rápida FCN-ResNet 18. El sistema fue entrenado, validado y puesto a prueba en varios ensayos experimentales de laboratorio y campo, empleando dos bases de datos de imágenes construidas en ambientes controlados y en entornos agrÃcolas reales. Los resultados muestran que es posible detectar y clasificar el estado de calidad de manzanas durante la cosecha, obteniendo una precisión que varÃan entre el 86,7% y 92,6% para la detección y de 94,7 ± 2,5% para la segmentación, superando en ambos casos los resultados presentados en trabajos relacionados.
{"title":"Clasificación de calidad de manzana para monitoreo de cosechabilidad utilizando visión por computador y algoritmos de aprendizaje profundo","authors":"Andrés Alejandro Garcés Cadena, Oswaldo Aníbal Menéndez Granizo, Edgar Patricio Córdova, Alvaro Javier Prado Romo","doi":"10.4067/s0718-33052023000100215","DOIUrl":"https://doi.org/10.4067/s0718-33052023000100215","url":null,"abstract":"La industria agrÃcola comprende una actividad de marcada influencia sobre el crecimiento económico y calidad de vida de las personas. Dada la necesidad de cubrir la demanda de alimentos debido al crecimiento poblacional, actualmente se requieren de sistemas capaces de optimizar el rendimiento del cultivo. Es asà como este trabajo contribuye con una herramienta práctica para asistir al agricultor en tareas de reconocimiento de calidad de fruta, la misma que le permite mejorar el proceso de cuantificación de manzana y monitoreo del estado cosechable de la fruta mediante el uso visión por computador y algoritmos de aprendizaje profundo. El sistema propuesto presenta i) la detección del tipo de manzanas para el conteo y ii) la clasificación de su calidad para la inspección y validación de la fruta por categorÃa. Para la detección del tipo de manzana se utiliza el modelo de red de detección SSD-MobileNet y para la segmentación de instancias de calidad a nivel de pÃxel se emplea una red neuronal convolucional rápida FCN-ResNet 18. El sistema fue entrenado, validado y puesto a prueba en varios ensayos experimentales de laboratorio y campo, empleando dos bases de datos de imágenes construidas en ambientes controlados y en entornos agrÃcolas reales. Los resultados muestran que es posible detectar y clasificar el estado de calidad de manzanas durante la cosecha, obteniendo una precisión que varÃan entre el 86,7% y 92,6% para la detección y de 94,7 ± 2,5% para la segmentación, superando en ambos casos los resultados presentados en trabajos relacionados.","PeriodicalId":40015,"journal":{"name":"Ingeniare","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135003406","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 : 2023-07-01DOI: 10.4067/s0718-33052023000100209
Fernando Ramírez Paredes
This work presents a chronological review of the most important wear models developed over the last seventy years. It also analyses the model’s hypothesis based on experimental observations of the wear’s progression. The results from this analysis show that the models which use the wear rate variable in the time have better accordance with experimental observations. This hypothesis is not used in most of the studied models
{"title":"Modelos de desgaste de herramientas: sobre la hipótesis de modelización","authors":"Fernando Ramírez Paredes","doi":"10.4067/s0718-33052023000100209","DOIUrl":"https://doi.org/10.4067/s0718-33052023000100209","url":null,"abstract":"This work presents a chronological review of the most important wear models developed over the last seventy years. It also analyses the model’s hypothesis based on experimental observations of the wear’s progression. The results from this analysis show that the models which use the wear rate variable in the time have better accordance with experimental observations. This hypothesis is not used in most of the studied models","PeriodicalId":40015,"journal":{"name":"Ingeniare","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75619549","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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