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1
artículo
Publicado 2023
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Recurrent flooding in the mining works, deficiencies in the operation of pumps, unforeseen stoppages, and lack of water availability in the processes, affect the operations in the subway mine. The traditional solution adopted is to wait for maintenance times for its post evacuation, generating stoppages, consumption of water from the wells and inefficiency in the daily water demand. Therefore, this article presents a new approach that will expand the traditional methods by introducing a prediction model using probabilistic methods. This approach will allow the design of an optimal water distribution system, the efficient control in the maintenance and covering of the recirculated water demand inside the mine. Variables describing problems related to pump flow, pressure zoning and the type of pump distribution, either in series or in parallel in the pumping system, will be determined. Als...
2
artículo
Publicado 2021
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The world is currently experiencing a major pandemic with the SARS-CoV-2 virus in which many patients who suffer and have suffered from this disease are more likely to suffer from hypertension. For this purpose, we have carried out a review of the scientific literature, from which we have collected 105 articles obtained from the following databases: ProQuest, Dialnet, ScienceDirect, Scopus, IEEE Xplore. Subsequently, based on the inclusion and exclusion criteria, 68 articles were systematized, detailing that Machine Learning helps us in the detection and prediction of hypertension in patients with coronavirus, Likewise, the predictive models that allow better detection of hypertension in patients with Covid 19 are “Neural Networks”, “Cox Risk Model”, “Random Forest” and “XGBoost”, detailing the countries and technologies used.
3
artículo
Publicado 2021
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Academic self-efficacy is a powerful predictor of academic success, yet there are several factors that predispose it. Because of this, an explanatory model is proposed using the self-regulation of academic activities, positive affection, and personality. Hierarchical multiple linear regression was used to support the predictive proposal of the model. The Specific Perceived Self-Efficacy Scale of Academic Situations, The Scale of Positive and Negative Experience, Subscale Self-Regulation of Activities of the Academic Procrastination Scale, and Mini International Personality Item Pool (MINI-IPIP) were used. High correlations were obtained in the self-regulation of activities, positive affection, and personality (extraversion, concientousness and openness to experience) to academic self-efficacy. The final predictive model explained 30.1% of the total variance of academic self-efficacy. In ...
4
tesis de grado
Publicado 2022
Enlace
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Universidad Nacional Agraria La Molina. Facultad de Ingeniería Agrícola. Departamento Académico de Recursos Hídricos
5
objeto de conferencia
The present work was supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science, Technology and Technological Innovation (CONCYTEC-PERU) and the Office Research of Universidad Nacional de Ingeniería (VRI - UNI).
6
tesis de maestría
In recent years, the number of applications of model predictive control (MPC) is rapidly increasing due to the better control performance that it provides in comparison to traditional control methods. However, the main limitation of MPC is the computational e ort required for the online solution of an optimization problem. This shortcoming restricts the use of MPC for real-time control of dynamic systems with high sampling rates. This thesis aims to overcome this limitation by implementing high-performance MPC solvers for real-time control of fast systems. Hence, one of the objectives of this work is to take the advantage of the particular mathematical structures that MPC schemes exhibit and use parallel computing to improve the computational e ciency. Firstly, this thesis focuses on implementing e cient parallel solvers for linear MPC (LMPC) problems, which are described by block-struct...
7
tesis de maestría
In recent years, the number of applications of model predictive control (MPC) is rapidly increasing due to the better control performance that it provides in comparison to traditional control methods. However, the main limitation of MPC is the computational e ort required for the online solution of an optimization problem. This shortcoming restricts the use of MPC for real-time control of dynamic systems with high sampling rates. This thesis aims to overcome this limitation by implementing high-performance MPC solvers for real-time control of fast systems. Hence, one of the objectives of this work is to take the advantage of the particular mathematical structures that MPC schemes exhibit and use parallel computing to improve the computational e ciency. Firstly, this thesis focuses on implementing e cient parallel solvers for linear MPC (LMPC) problems, which are described by block-struct...
8
artículo
Publicado 2014
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The daily electric demand in Peruvian National Interconnected System-SEIN- has very particular trend, seasonality and characteristics external effects, a situation that complicates the process of estimating the short-term forecast. The aim of this paper is to formulate and calculate ARIMA models with External Events Analysis to achieve efficient forecasts of electricity demand each day, at total level and broken down by areas of the SEIN. The methodology is based on treating each time series using appropriate statistical-mathematical transformations to achieve stability in variance as regular seasonal averages, parallel external events to try to reach an optimal predictive model ARIMA each area of the electrical system of Peru (Central, South and North) and for each day of the week. The results demonstrate the predictive efficiency. Taking as a quality indicator forecast the Mean Absolut...
9
artículo
Publicado 2014
Enlace
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The daily electric demand in Peruvian National Interconnected System-SEIN- has very particular trend, seasonality and characteristics external effects, a situation that complicates the process of estimating the short-term forecast. The aim of this paper is to formulate and calculate ARIMA models with External Events Analysis to achieve efficient forecasts of electricity demand each day, at total level and broken down by areas of the SEIN. The methodology is based on treating each time series using appropriate statistical-mathematical transformations to achieve stability in variance as regular seasonal averages, parallel external events to try to reach an optimal predictive model ARIMA each area of the electrical system of Peru (Central, South and North) and for each day of the week. The results demonstrate the predictive efficiency. Taking as a quality indicator forecast the Mean Absolut...
10
tesis de maestría
In recent years, the number of applications of model predictive control (MPC) is rapidly increasing due to the better control performance that it provides in comparison to traditional control methods. However, the main limitation of MPC is the computational e ort required for the online solution of an optimization problem. This shortcoming restricts the use of MPC for real-time control of dynamic systems with high sampling rates. This thesis aims to overcome this limitation by implementing high-performance MPC solvers for real-time control of fast systems. Hence, one of the objectives of this work is to take the advantage of the particular mathematical structures that MPC schemes exhibit and use parallel computing to improve the computational e ciency. Firstly, this thesis focuses on implementing e cient parallel solvers for linear MPC (LMPC) problems, which are described by block-struct...
11
artículo
Publicado 2014
Enlace
Enlace
La demanda diaria del Sistema Eléctrico Interconectado Nacional-SEIN, posee características muy peculiares de tendencia, estacionalidad y aleatoriedad, situación que complica al proceso de estimación de su pronóstico. El objetivo del presente trabajo consiste en formular y calcular modelos ARIMA con Análisis de Sucesos Externos, a fin de lograr pronósticos eficientes de la demanda eléctrica de cada día siguiente, a nivel total y desagregado por áreas. Un buen pronóstico de la demanda diaria garantiza el despecho eficiente y económico de generación y transmisión, así como el aseguramiento y calidad de la demanda sectorial nacional. El enfoque metodológico lo constituye el tratamiento de cada serie temporal objetivo, mediante transformaciones estadístico-matemáticas apropiadas para alcanzar estabilidad tanto en varianzas como en medias regulares y estacionales; paralelame...
12
artículo
Publicado 2025
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Para estimar el impacto de los terremotos en áreas urbanas, los investigadores convencionalmente utilizan modelos simplificados de estructuras urbanas para simulaciones. Sin embargo, los avances recientes en tecnología ahora permiten predicciones de respuesta ante terremotos más precisas a través de modelos de alta fidelidad y gemelos digitales. Los programas convencionales de generación de mallas pueden producir modelos 3D generales, pero no están optimizados para simulaciones urbanas a gran escala, donde el refinamiento de la malla cerca de las interfaces de los materiales es esencial. En este estudio, desarrollamos un método eficiente basado en la triangulación de Delaunay para simulaciones a escala urbana mediante la partición del modelo 3D en subdominios. El método propuesto utiliza de manera integrada la información del modelo de elevación digital y del modelo de veloci...
13
tesis de grado
Publicado 2024
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La desigualdad alimentaria como tema sociológico requiere entender los cambios en los perfiles de vulnerabilidad y situaciones de inseguridad alimentaria no ligadas a la pobreza. En el contexto peruano, donde los indicadores sobre seguridad alimentaria muestran una situación de inestabilidad en el consumo alimentario generalizada y donde la pobreza y la inseguridad alimentaria no muestran métricas paralelas, esta investigación propone un nuevo enfoque de análisis centrado en la distribución “fáctica” de los alimentos, es decir, el acceso físico a estos como parte fundamental de la disponibilidad alimentaria y de la SA en general. De este modo, el objetivo principal de esta investigación fue revisar el efecto de los mercados de abasto desde dos dimensiones, densidad y calidad, en la SA de los hogares peruanos durante 2021. Se analizó el efecto moderador de estos en la SA a t...
14
tesis de grado
Publicado 2019
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In the search for non-destructive inspection forms in fruit quality, in recent years there have been increased studies on the use of hyperspectral images in their quality. The objective of this investigation was to evaluate the level of prediction of quality parameters and maturity stage of the “Kent” mango by a model obtained using hyperspectral images. 120 mangoes were stored at four different temperatures (10, 12.5, 15 and 17.5 °C) at which images of both sides were taken in the near infrared range (890 - 1710 nm), one per day, for 12 days and with two repetitions for each fruit. Parallel to the taking of images, quality parameters such as firmness, color (ΔE*), brix degrees and moisture content were determined in the same mangoes. To obtain the model, the quality attributes were correlated with 70% of the spectral data resulting from the images using the partial least squares r...
15
tesis de grado
Publicado 2024
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Enlace
Universidad Nacional Agraria La Molina. Facultad de Agronomía. Departamento Académico de Suelos
16
tesis de grado
Publicado 2022
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La teoría de la percepción de riesgo es una herramienta que permite predecir el comportamiento de un grupo de personas frente a un escenario específico, lo cual nos ayuda a saber qué porcentaje del grupo estudiado puede rendir en dicho escenario. En América latina no se realizan con mucha frecuencia estudios que evalúen la percepción de riesgo, y no se ha realizado ninguno en el rubro veterinario. Este estudio evaluó la percepción de riesgo y la disposición de los médicos veterinarios y trabajadores del sector animales de compañía para responder a la pandemia de COVID-19 en el Perú, y además exploró las barreras y facilidades que se les presentaron para asistir al trabajo durante la pandemia. Los datos fueron recolectados a través de una encuesta en línea, enfocada a los trabajadores del sector de animales de compañía. Se realizó un análisis estadístico descriptivo...
17
tesis de grado
Publicado 2024
Enlace
Enlace
La desigualdad alimentaria como tema sociológico requiere entender los cambios en los perfiles de vulnerabilidad y situaciones de inseguridad alimentaria no ligadas a la pobreza. En el contexto peruano, donde los indicadores sobre seguridad alimentaria muestran una situación de inestabilidad en el consumo alimentario generalizada y donde la pobreza y la inseguridad alimentaria no muestran métricas paralelas, esta investigación propone un nuevo enfoque de análisis centrado en la distribución “fáctica” de los alimentos, es decir, el acceso físico a estos como parte fundamental de la disponibilidad alimentaria y de la SA en general. De este modo, el objetivo principal de esta investigación fue revisar el efecto de los mercados de abasto desde dos dimensiones, densidad y calidad, en la SA de los hogares peruanos durante 2021. Se analizó el efecto moderador de estos en la SA a t...
