La presente invencion se refiere a una maquina automatica moledora de semillas con embolsadora de harinas la cual comprende al menos un motor conectado con un mecanismo de poleas y fajas para el movimiento rotacional del eje de un molino; un cernidor con movimiento vibratorio generado por el al menos un motor, este cernidor esta dispuesto en linea en la salida del molino; un conducto a la salida del cernidor adecuado para pasar la harina hasta una manga; una celda de carga y bascula dispuesta en la base de la manga para el pesado de la harina dispuesta en la manga; un mecanismo de sellado por calor de la manga dispuesta en una parte superior de la manga, un controlador conectado con los motores y la celda de carga-bascula.

El objetivo de la investigación fue determinar la relación existente entre el internet de las cosas (IoT) con inteligencia artificial (IA) y el aprendizaje basado en proyectos en estudiantes de una universidad de Lima, 2023. La metodología utilizada tuvo pertinencia con el paradigma positivista, tipo aplicada, enfoque cuantitativo, el método empleado fue el hipotético deductivo y diseño no experimental de corte transversal; la población se conformó por 215 estudiantes universitarios de ingeniería y se aplicó el muestreo no probabilístico por conveniencia, obteniendo la muestra de 160 estudiantes universitarios de las carreras de ingeniería mecatrónica, electrónica y otras ingenieras de diversos ciclos académicos. El instrumento utilizado para IoT con IA y el ABP fue validado por juicio de expertos y el resultado de la prueba de fiabilidad del alfa de Cronbach fue 0.819 par...

La presente investigación tuvo como objetivo principal: “Determinar la relación del liderazgo directivo con el desempeño docente de la I.E. pública Nº 1182 “El Bosque” y la I.E. privada “Gakusei” de San Juan de Lurigancho, Lima – 2011”. El tipo de investigación es aplicada descriptivo, cuyo método es el hipotético deductivo, de diseño no experimental: transversal - correlacional, porque determinamos las relaciones entre dos variables en un determinado momento; la muestra seleccionada de la población conformado por docentes y directivos de ambas instituciones, fueron 121 sujetos; la Institución Educativa Particular “Gakusei” estuvo conformado por 4 directivos y 21 docentes, mientras que en la Institución Educativa Pública Nº 1182 “El Bosque”, se conformó por 3 directivos y 93 docentes. Para la recopilación de datos se empleó como instrumento un cuest...

After the isolation caused by the pandemic, the entertainment sector has been forced to change the way it markets its products and services, and users have been adapting to the change. Companies dedicated to the film industry have had to bet on digital marketing to attract customers through the promotion and advertising of movies, thus attracting a larger audience to their theaters. The objective of this research article is to provide added value and innovation to the advertising promotions of movies in the premiere, through the development of a mobile application based on augmented reality to improve customers’ shopping experience. For which the Agile Mobile-D Methodology was used for the development of the application and the results were studied using 5 indicators: Time to choose a movie, where an improvement of 38.26% was obtained compared to the Pre-Test; regarding the indicator t...

This work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; second, labeling and training of the data; third, labeling of the unseen data; and fourth, evaluation of the model performance. For processing, a total of 10,322 "curriculum" documents related to data science were collected from the web during 2018-2022. The latent dirichlet allocation (LDA) model was used for the analysis and structure of the subjects. After processing, 12 themes were generated, which allowed ranking the most relevant terms to identify the skills of each of the candidates. This work concludes that candidates interested in data science must have skills in the following topics: first, they must be technical, they must have mastery of structured query languag...

“After the isolation caused by the pandemic, the entertainment sector has been forced to change the way it markets its products and services, and users have been adapting to the change. The objective of this research article is to provide added value and innovation to the advertising promotions of movies in the premiere, through the development of a mobile application based on augmented reality to improve customers’ shopping experience. For which the Agile Mobile-D Methodology was used for the development of the application and the results were studied using 5 indicators: Time to choose a movie, where an improvement of 38.26% was obtained compared to the Pre-Test; regarding the indicator time to acquire information about the movie, an improvement of 81.33% was obtained. 33%; concerning the third indicator, time to initiate the purchase, an improvement of 88% was obtained; concerning ...

Customer retention, a critical business priority, has become a growing concern, especially in the telecommunications industry. This study addresses the need to anticipate and understand customer churn through the application of Deep Learning models. The central focus of the research was the development and evaluation of a short-term memory model (LSTM) specifically designed to predict customer leakage. The choice of LSTM as the mainstay of the research is based on its proven ability to model long-term dependencies in sequences, its resilience to recurrent challenges in neural networks, and its success in various sequence prediction tasks. The model implementation, configured sequentially with Keras, comprised of an initial LSTM layer of 64 units, followed by a 20% removal layer to mitigate overfitting. The second LSTM layer, with 32 units, was supplemented with another elimination layer....

Objective: To analyze the prevalence of the use of descriptive hypotheses in theses presented at top universities in Peru during 2020. Methods: A quantitative, descriptive, and cross-sectional study was conducted. The population included theses available in the digital repositories of leading Peruvian universities. The sample was intentionally selected, considering undergraduate and graduate theses from various faculties. Data were obtained through document review and categorization of theses based on the type of hypothesis used. Descriptive statistics were employed to determine frequencies and percentages, and comparisons were made between academic levels. Results: It was found that 45 % of the analyzed theses employed descriptive hypotheses, which were more common at the undergraduate level (55 %) compared to the graduate level (35 %). Additionally, a higher recurrence of descriptive h...

Decent work and economic growth are fundamental elements for the sustainable development of a society, with Sustainable Development Goal 8 (SDG8) being one of the key objectives of the United Nations’ 2030 Agenda. The 5G network has great potential to contribute significantly to the achievement of SDG8, offering faster and more reliable connectivity, which opens up new possibilities for innovation, operational efficiency, and job creation. The present study aimed to investigate the role of 5G technologies concerning decent work and economic growth (SDG8). As part of the method, 265 articles extracted from main databases such as Scopus, IEEExplore, and ScienceDirect were analyzed using the PRISMA methodology, resulting in 74 relevant articles after applying the inclusion and exclusion criteria. As a result, a greater contribution to the use of the 5G network was identified in sectors su...

“This work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; second, labeling and training of the data; third, labeling of the unseen data; and fourth, evaluation of the model performance. For processing, a total of 10,322 ““curriculum““ documents related to data science were collected from the web during 2018-2022. The latent dirichlet allocation (LDA) model was used for the analysis and structure of the subjects. After processing, 12 themes were generated, which allowed ranking the most relevant terms to identify the skills of each of the candidates. This work concludes that candidates interested in data science must have skills in the following topics: first, they must be technical, they must have mastery of structured ...

This work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; second, labeling and training of the data; third, labeling of the unseen data; and fourth, evaluation of the model performance. For processing, a total of 10,322 "curriculum" documents related to data science were collected from the web during 2018-2022. The latent dirichlet allocation (LDA) model was used for the analysis and structure of the subjects. After processing, 12 themes were generated, which allowed ranking the most relevant terms to identify the skills of each of the candidates. This work concludes that candidates interested in data science must have skills in the following topics: first, they must be technical, they must have mastery of structured query languag...