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Luis Ricardo Uribe Dávila (2023, [Tesis de maestría])
Vivimos la industria 4.0, misma que no es nueva, ya que sus orígenes se remontan a finales de la década de los 2000, en Alemania. Un pilar de la industria 4.0 es el análisis de datos, conocido como Big Data. El conocer los datos de un proceso, de un estudio, ayuda en gran medida a predecir el comportamiento que tendrá el proceso o la máquina a estudiar en un periodo a corto o mediano plazo. En el presente proyecto se analizan los datos arrojados por un motor eléctrico de corriente alterna, del tipo inducción, jaula de ardilla. El motor está diseñado para trabajar de manera continua, sin embargo, el uso que se le da, es meramente educativo; es decir, no sobre pasa las 15 horas por semana de uso. Mediante la toma de datos de las tres fases de corriente RMS o corriente de valor eficaz que posee el motor eléctrico que se realizará con el microcontrolador Arduino UNO, se analizarán los mismos mediante el software de cómputo numérico MATLAB, ordenando los datos, descartando valores que no aporten información relevante para lograr la predicción de datos. Por último, se llevará a conocer este proyecto a la carrera mecatrónica, área sistemas de manufactura flexible y área automatización, con el fin de que puedan observar de una mejor manera la aplicación y funcionamiento de uno de los pilares de la actual industria 4.0.
We live in industry 4.0, which is not new, since its origins date back to the late 2000s, in Germany. One pillar of industry 4.0 is data analysis, known as Big Data. Knowing the data of a process, of a study, helps greatly to predict the behavior that the process or machine will have to study in a short- or medium-term period. This project analyzes the data released by an electric motor of alternating current, of the type induction, squirrel cage. The engine is designed to work continuously, however, the use given to it is merely educational, that is; only not over spends 15 hours per week of use. By taking data from the three phases of RMS current or effective value current of the electric motor that will be made with the Arduino UNO micro controller, they will be analyzed using MATLAB numerical computing software, ordering the data, discarding values that do not provide relevant information to achieve data prediction. Finally, this project will be presented to the mechatronics career, flexible manufacturing systems area and automation area, so that they can observe in a better way the application and operation of one of the pillars of the current industry 4.0.
Mantenimiento predictivo Regresión lineal Industria 4.0 Big data Corriente RMS Predictive maintenance Linear regression Industry 4.0 Big data RMS Current INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS
Modelo de optimización de recursos para un distrito de riego
Model for the optimization of resources for an irrigation district
DAVID ORTEGA GAUCIN ENRIQUE MEJIA SAENZ ENRIQUE PALACIOS VELEZ LUIS RENDON PIMENTEL ADOLFO ANTENOR EXEBIO GARCIA (2008, [Artículo])
Mediante el uso de técnicas de programación lineal se desarrolló un modelo de optimización de recursos hídricos para el distrito de riego 005, localizado en Delicias, Chihuahua,México. El modelo planteado permitió estimar la superficie de riego y el patrón de cultivos óptimo para incrementar los beneficios netos de los productores. Se analizaron cuatro escenarios posibles, tomando en cuenta la disponibilidad de volúmenes clave en las fuentes de abastecimiento de agua, así como dos eficiencias de conducción de la red de canales. Los resultados indicaron que la superficie sembrada en el distrito fue de 70 459 ha. La superficie estimada por el modelo fue menor de 9643 ha con respecto a la superficie regable actualmente; por lo cual se concluye que es conveniente establecer estrategias para que, en situaciones próximas, la superficie excedente sea desincorporada del distrito de riego, o bien, reducir la concesión de agua con la finalidad de lograr la sustentabilidad de los módulos.
Using linear programming techniques, a model for optimizing water resources was developed for the Irrigation District 005, located in Delicias, Chihuahua, Mexico. The proposed model allowed estimation of the irrigation area and optimal cropping pattern needed to increase net benefits for growers. Four possible scenarios were analyzed, considering the availability of key volumes in water supply sources, as well as two conduction efficiencies for the network of irrigation channels. The results indicated that the area cultivated in the Irrigation District was 79 459 ha. The area estimated by the model was 9643 ha less than the area currently irrigation. It is thus concluded that it would be recommendable to establish strategies for withdrawing the excess area from the Irrigation District or for reducing water concessions in order to achieve sustainability of the modules.
Agricultura Productividad agrícola Programas de computación Programación lineal INGENIERÍA Y TECNOLOGÍA
A pre-pandemic study about recreational uses in the Mexico Park located at Mexico City (year 2017)
Ramiro Flores-Xolocotzi Sergio Ceballos (2022, [Artículo, Artículo])
A recreational study was carried out through surveys in the Parque México in Mexico City. For this, the relationship between visit patterns with socioeconomic information, uses and perceptions of visitors with 18 years old or older was analyzed. This research uses descriptive statistics and a non-linear canonical correlation analysis to analyze relationships between variables. An ordered probit regression was also performed to determine the variables that explain the frequency of recreational use. It was obtained that the Park mainly receives visitors with at least bachelor's degree (78.6%) and high incomes (more than 50% have a monthly family income higher than $10,000.00 pesos and 27.6% receive more than $30,000.00 per month). Considering the results, the conclusions are that although the highest percentage of the studied population comes from neighborhoods outside the Roma-Condesa Corridor: then the visitors who live in the Corridor and who have higher incomes, have weight in the description of the model. The results allow to conclude too, that higher income increases the frequency of use. It is also observed that the park is used during the Monday to Friday by more than 50% of the population of visitors and with a high percentage of use in the mornings.
urban forestry urban planning leisure green areas correlación canónica no lineal parque urbano probit recreación CIENCIAS SOCIALES CIENCIAS SOCIALES
Velitchko Tzatchkov RODRIGO ULISES SANTOS TELLEZ José Manuel Rodríguez Varela (2019, [Documento de trabajo])
Abastecimiento de agua Fugas de agua Válvulas reguladoras de presión Consumo no contabilizado de agua INGENIERÍA Y TECNOLOGÍA
Freiman Estiven Triana Arango (2023, [Tesis de doctorado])
"Two-photon absorption (TPA), a nonlinear optical phenomenon, is gaining attention for applications like laser scanning, microscopy, and therapy. Recent research explores entangled two photon absorption (ETPA) using correlated photons but faces debates regarding its magnitude and detection. This study introduces a novel method using changes in Hong-Ou-Mandel (HOM) interferogram visibility to probe ETPA's presence. It employs Rhodamine B dye and entangled photons at around 800nm to investigate conditions conducive to observing ETPA-induced changes. This innovative approach distinguishes genuine ETPA signals from linear optical losses often masquerading as ETPA effects, addressing a significant field challenge."
Two-photon absorption Entangled two-photon absorption Hong-Ou-Mandel HOM dip visibility Joint Spectral Intensity Entangled photons CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ÓPTICA OPTICA NO LINEAL OPTICA NO LINEAL
Predicción de la evapotranspiración de referencia mediante redes neuronales artificiales
JUAN MANUEL GONZALEZ CAMACHO ROCIO CERVANTES-OSORNIO WALDO OJEDA BUSTAMANTE IRINEO LORENZO LOPEZ CRUZ (2008, [Artículo])
La evapotranspiración de referencia (ETo) es una variable climática esencial para el cálculo de los requerimientos hídricos de los cultivos. Su previsión a corto plazo es importante para programar la distribución de volúmenes de agua en las zonas de riego. En este trabajo se presenta la aplicación de un modelo de Red Neuronal Artificial (RNA) tipo feedforward backpropagation para predecir la ETo a partir de datos diarios de temperatura del aire, radiación solar, humedad relativa y velocidad del viento. La arquitectura adoptada del modelo de RNA contiene cuatro neuronas en la capa intermedia, una neurona en la capa de salida y funciones de activación tangente hiperbólica en ambas capas. Este modelo fue aplicado a un conjunto de datos climáticos con cinco años de observaciones de la red agroclimática “Valle del Fuerte” del distrito de riego 075, localizada en el norte de Sinaloa, México. El algoritmo de entrenamiento supervisado de Levenberg-Marquardt permitió obtener un buen desempeño de la red en términos del error cuadrático medio y del coeficiente de determinación R2 para estimar la ETo en los diferentes escenarios considerados. Las predicciones de las RNA fueron comparadas con las predicciones de modelos de regresión lineal múltiple y lineal por partes; los resultados muestran que ambos modelos presentan niveles de ajuste muy similares a los datos experimentales.
Evapotranspiración Requerimientos de riego Variables climáticas Distritos de riego Regresión no lineal Redes neuronales artificiales CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA
Growth Promoting Activity of Annona muricata L. Leaf Extracts on Lactobacillus casei
NIMCY NOEMI MEZA GUTIERREZ Paola Magallón Servín ROSENDO BALOIS MORALES IZA FERNANDA PEREZ RAMIREZ GRACIELA GUADALUPE LOPEZ GUZMAN GUILLERMO BERUMEN VARELA Pedro Ulises Bautista Rosales (2022, [Artículo])
"Soursop leaves are a source of phytochemical compounds, such as phenolic acids, flavonoids, hydrolyzable tannins, and acetogenins. These compounds can have several types of biological activities. Lactic acid bacteria can uptake phenolic compounds present in plants or fruits. The aim of the present work was to investigate the in vitro effect of hexane, acetone, methanolic, and aqueous extracts of soursop leaves (Annona muricata L.) on the growth, motility, and biofilm formation of Lactobacillus casei, and to determine compounds related to growth. The minimum concentration promoting growth, motility (swimming, swarming, and twitching), and biofilm-forming capacity (crystal violet) were evaluated. The results showed the growth-promoting capacity of acetone and aqueous extracts at low doses 25–50 mg/L, and an inhibition in the four extracts at higher doses of 100 mg/L. The L. casei growth is related to ellagic acid, quercetin rhamnoside, kaempferol dihexoside, quercetin hexoside, secoisolariciresinol, and kaempferol hexoside-rhamnoside. Hexane extract increased the three types of motility, while aqueous maintained swimming and twitching motility similar to control. The four extracts inhibited the biofilm formation capacity."
prebiotic, Lactobacillus, polyphenol, probiotic, growth promoters, soursop leaves CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS AGROQUÍMICA REGULADORES DEL CRECIMIENTO DE LAS PLANTAS REGULADORES DEL CRECIMIENTO DE LAS PLANTAS
Hortensia Ortega OrtÍz JAZMIN MONTSERRAT GAUCIN DELGADO Pablo Preciado Rangel Manuel Fortis Hernández Luis Guillermo Hernández Montiel Efraín de la Cruz Lázaro Liliana Lara Capistrán (2022, [Artículo])
"Metal nanoparticles have many positive effects in improving crop production and productivity and allow for increased germination and rapid crop establishment under field conditions. The metallic nanoparticles applied in this study were copper oxide nanoparticles (CuONPs) biosynthesized using orange peel (Citrus X sinensis) as a reducing agent to avoid or reduce toxicity in wheat seeds and sprouts. This study determined the effect of CuONPs on germination, radicle and plumule length, as well as the production of phytochemical compounds in wheat sprouts. The seeds were treated with suspensions of CuONPs at the following concentrations: 0, 0.5, 1, 2, 4 and 6 mg mL-1. The results indicate that the use of low doses of CuONPs (0.5 mg mL-1), improved germination, vigor, plumule and radicle length, in addition to increasing the biosynthesis of phytochemical compounds in wheat shoots. A high concentration of CuONPs (6 mg mL-1) causes inhibitory effects due to Cu accumulation and phytotoxicity in plant tissue. The use of CuONPs for green synthesis is a viable alternative to obtain beneficial effects in germination and seedling development, as well as greater secondary metabolite production."
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS AGROQUÍMICA REGULADORES DEL CRECIMIENTO DE LAS PLANTAS REGULADORES DEL CRECIMIENTO DE LAS PLANTAS
CuO-NPs Improve Biosynthesis of Bioactive Compounds in Lettuce
JAZMIN MONTSERRAT GAUCIN DELGADO Luis Guillermo Hernández Montiel Manuel Fortis Hernández JUAN JOSE REYES PEREZ José Antonio González Fuentes Pablo Preciado Rangel (2022, [Artículo])
"The application of metallic nanoparticles improves the yield and content of bioactive compounds in plants. The aim of the present study was to determine the effects of the foliar application of copper nanoparticles (CuO-NPs) in the yield and content of bioactive compounds in lettuce. Different concentrations of CuO-NPs (0, 0.5, 1, 2, 4, and 6 mg mL−1 ) were applied in lettuce. The yield, nutraceutical quality, and enzymatic activity were determined. Foliar spraying of CuO-NPs induced an increase in the biosynthesis of bioactive compounds. In addition to an increase in the activity of the enzymes superoxide dismutase (SOD) and catalase (CAT) in lettuce plants, there were no negative effects on yield. Therefore, with the application of CuO-NPs, better quality lettuces are produced for the human diet due to the higher production of bioactive compounds."
nano-biofortification, nanoparticles, antioxidants, Lactuca sativa L. CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS AGROQUÍMICA REGULADORES DEL CRECIMIENTO DE LAS PLANTAS REGULADORES DEL CRECIMIENTO DE LAS PLANTAS
GERARDO ZAPATA SIFUENTES Luis Guillermo Hernández Montiel Jorge Sáenz Mata Manuel Fortis Hernández EDUARDO BLANCO CONTRERAS ROBERTO GREGORIO CHIQUITO CONTRERAS Pablo Preciado Rangel (2022, [Artículo])
"Cucumber fruit is rich in fiber, carbohydrates, protein, magnesium, iron, vitamin B, vitamin C, flavonoids, phenolic compounds, and antioxidants. Agrochemical-based production of cucumber has tripled yields; however, excessive synthetic fertilization has caused problems in the accumulation of salts in the soil and has increased production costs. The objective of this study was to evaluate the effect of three strains of plant growth-promoting rhizobacteria (PGPR) on cucumber fruit growth and quality under greenhouse conditions. The rhizobacteria Pseudomonas paralactis (KBendo6p7), Sinorhizobium meliloti (KBecto9p6), and Acinetobacter radioresistens (KBendo3p1) was adjusted to 1 × 108 CFU mL−1 . The results indicated that the inoculation with PGPR improved plant height, stem diameter, root length, secondary roots, biomass, fruit size, fruit diameter, and yield, as well as nutraceutical quality and antioxidant capacity, significantly increasing the response of plants inoculated with A. radioresistens and S. meliloti in comparison to the control. In sum, our findings showed the potential functions of the use of beneficial bacteria such as PGPR for crop production to reduce costs, decrease pollution, and achieve world food safety and security."
rhizobacteria, PGPR, nutraceutical quality CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS AGROQUÍMICA REGULADORES DEL CRECIMIENTO DE LAS PLANTAS REGULADORES DEL CRECIMIENTO DE LAS PLANTAS