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Ajustar las condiciones de operación de una prensa hidráulica horizontal de fabricación propia para un proceso de doblado en frío a 90°

Hugo Estrada Pimentel HUGO ARCOS GUTIERREZ JOSE ANTONIO BETANCOURT CANTERA Jan Mayén Chaires John Edison García Herrera (2023, [Artículo])

During the cold-bending process, the tooling suffers considerable damage due to excess pressure. This also causes the machines to break down, causing problems in the precision and quality of the metal parts formed. The precision depends on the operating conditions of the press, the tooling employed, and the elastic recovery effect of the material. This study determines the working conditions for a made-in-house horizontal hydraulic press through an experimental design (DOE). This research carried out the V-forming to 90° (ISO 2768-1) of a hot-rolled carbon steel plate, considering pressure, piston permanence time, and recovery factor (Kr). The experimental and statistical analysis ensures accurate forming while the work pressure decreases by 17% and 33%, respectively, regarding the maximum. This reduction will delay the appearance of fatigue damage and have the operating parameters well established; in turn, it will be possible to design tools according to commercial standards.

Durante el proceso de conformado en frío, las herramientas sufren daños considerables debido al exceso de presión. Esto también causa que las máquinas se rompan, causando problemas en la precisión y calidad de las piezas metálicas formadas. La precisión depende de las condiciones de funcionamiento de la prensa, las herramientas empleadas y el efecto elástico de recuperación del material. Este estudio determina las condiciones de trabajo de una prensa hidráulica horizontal fabricado en casa a través de un diseño experimental (DOE). Esta investigación llevó a cabo el conformado en V a 90° (ISO 2768-1) de una placa de acero al carbono laminada en caliente, teniendo en cuenta la presión, el tiempo de permanencia del pistón y el factor de recuperación (Kr). El análisis experimental y estadístico asegura un conformado preciso, mientras que la presión de trabajo disminuyó en un 17% y 33%, respectivamente, con respecto al máximo. Esta reducción retrasará la aparición de daños por fatiga y tendrá los parámetros de funcionamiento bien establecidos; con estos, a su vez, será posible diseñar herramientas de acuerdo con los estándares comerciales.

Authorship acknowledgement: Hugo Estrada: Conceptualization; methodology; validation; writing; revision; project administration; software; investigation; display; draft writing; reviewing and editing. Hugo Arcos: Conceptualization; methodology; validation; writing; revision; simulation; software; reviewing. José A. Betancourt: Supervision; methodology; validation; writing; revision; draft writing: writing reviewing and editing. Jan Mayen: Supervision; methodology; validation; writing; revision; formal analysis.

John E. García: Conceptualization; supervision; methodology; validation; writing; revision; project management; formal analysis, draft writing: writing reviewing and editing.

Cold forming DOE ANOVA Recovery factor (Kr) Factorial analysis 2k Spring back (SB) Conformado en frío Factor de recuperación (Kr) Análisis factorial 2k Recuperación elástica (SB) INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS

Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh

Mustafa Kamal Timothy Joseph Krupnik (2024, [Artículo])

High-resolution mapping of rice fields is crucial for understanding and managing rice cultivation in countries like Bangladesh, particularly in the face of climate change. Rice is a vital crop, cultivated in small scale farms that contributes significantly to the economy and food security in Bangladesh. Accurate mapping can facilitate improved rice production, the development of sustainable agricultural management policies, and formulation of strategies for adapting to climatic risks. To address the need for timely and accurate rice mapping, we developed a framework specifically designed for the diverse environmental conditions in Bangladesh. We utilized Sentinel-1 and Sentinel-2 time-series data to identify transplantation and peak seasons and employed the multi-Otsu automatic thresholding approach to map rice during the peak season (April–May). We also compared the performance of a random forest (RF) classifier with the multi-Otsu approach using two different data combinations: D1, which utilizes data from the transplantation and peak seasons (D1 RF) and D2, which utilizes data from the transplantation to the harvest seasons (D2 RF). Our results demonstrated that the multi-Otsu approach achieved an overall classification accuracy (OCA) ranging from 61.18% to 94.43% across all crop zones. The D2 RF showed the highest mean OCA (92.15%) among the fourteen crop zones, followed by D1 RF (89.47%) and multi-Otsu (85.27%). Although the multi-Otsu approach had relatively lower OCA, it proved effective in accurately mapping rice areas prior to harvest, eliminating the need for training samples that can be challenging to obtain during the growing season. In-season rice area maps generated through this framework are crucial for timely decision-making regarding adaptive management in response to climatic stresses and forecasting area-wide productivity. The scalability of our framework across space and time makes it particularly suitable for addressing field data scarcity challenges in countries like Bangladesh and offers the potential for future operationalization.

Synthetic Aperture Radar Random Forest Boro Rice In-Season Maps CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SAR (RADAR) RICE FLOODING CLIMATE CHANGE

Smallholder maize yield estimation using satellite data and machine learning in Ethiopia

Zhe Guo Jordan Chamberlin Liangzhi You (2023, [Artículo])

The lack of timely, high-resolution data on agricultural production is a major challenge in developing countries where such information can guide the allocation of scarce resources for food security, agricultural investment, and other objectives. While much research has suggested that remote sensing can potentially help address these gaps, few studies have indicated the immediate potential for large-scale estimations over both time and space. In this study we described a machine learning approach to estimate smallholder maize yield in Ethiopia, using well-measured and broadly distributed ground truth data and freely available spatiotemporal covariates from remote sensing. A neural networks model outperformed other algorithms in our study. Importantly, our work indicates that a model developed and calibrated on a previous year's data could be used to reasonably estimate maize yield in the subsequent year. Our study suggests the feasibility of developing national programs for the routine generation of broad-scale and high-resolution estimates of smallholder maize yield, including seasonal forecasts, on the basis of machine learning algorithms, well-measured ground control data, and currently existing time series satellite data.

Sentinel-2 Smallholder Agriculture Yield Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INTENSIFICATION SMALLHOLDERS AGRICULTURE YIELD FORECASTING

Capability approach and life course cube applied to the migration of skilled women

Lidia Ivonne Munguía Ocampo Arlette Covarrubias (2023, [Artículo, Artículo])

A proposal is developed to integrate Amartya Sen's Capabilities Approach and the study of life trajectories, represented in the life course cube of Bernardi et al. (2019), taking as an empirical example the couple migration the skilled women. The life curse cube allows the visualization of the interdependencies between (1) the temporality of women's life course and the historical moment where the migration process occurs, (2) the individual, social, and environmental conversion factors that provide or restrict their ability to achieve those functionings they consider of value to their lives and how they exercise their agency to achieve their well-being, and (3) the micro, meso and macro levels of interaction that together connect life domains over time from the individual environment, the social relationships and considering external societal structures.

Enfoque de capacidades, migración calificada, cubo de curso de vida, trayectorias de vida, género. CIENCIAS SOCIALES CIENCIAS SOCIALES Capability approach skilled migration, life course cube, life trajectories, gender

Teacher training in the state of Chihuahua: Between the health challenge and teacher resilience

Evangelina Cervantes Holguín Pavel Roel Gutiérrez Sandoval Cely Celene Ronquillo Chávez (2023, [Artículo, Artículo])

 

The article proposes to recover the response of the Teacher Training and Updating Institutions in the state of Chihuahua regarding the various challenges imposed by the Coronavirus Disease (COVID-19). The qualitative exercise analyzes the experience of 10 institutions based on the voice of their students, teachers, and principals regarding changes in academic, administrative, and organizational processes. It is concluded that the pandemic has affected each institution in different ways and with diverse intensity. Despite the achievements, the experience analyzed reveals the relative success of the using virtual platforms in the face of three basic conditions: connectivity, technological competencies, and socio-emotional skills of the teaching staff. It highlights the importance of implementing tutoring, resilience, or awareness actions of teachers and students' needs, feelings, and sufferings. It is opportune to recover the experiences of other institutions and to question especially students, thesis students and graduates.

Acceso a la educación Aprendizaje en línea Educación a distancia Formación de docentes Tecnología educacional HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA Access to education online learning distance education teacher education educational technology

Diversidad arbórea y carbono almacenado en selvas bajo manejo forestal comunitario en Yucatán, México

Tree diversity and carbon stored in communally managed tropical forests in Yucatan, Mexico

MARIA CAMILA HURTADO TORRES JUAN MANUEL DUPUY RADA PATRICIA IRENE MONTAÑEZ ESCALANTE JUAN JOSE MARIA JIMENEZ OSORNIO (2022, [Artículo])

El manejo forestal comunitario sustentable favorece la economía de las comunidades rurales sin comprometer la capacidad de regeneración ni los servicios ecosistémicos que brindan las selvas, como el almacenamiento de carbono. Esta actividad ha sido ampliamente documentada en la Península de Yucatán, pero escasamente evaluada en el estado de Yucatán. En esta investigación se hizo una comparación de composición arbórea, estructura, diversidad y carbono almacenado en la biomasa aérea en tres áreas de selva mediana subcaducifolia con diferente tiempo de regeneración después de un aprovechamiento forestal en el ejido San Agustín (AAF1, AAF10 y AAF+50 años). En cada una se establecieron dos conglomerados conformados por cuatro parcelas circulares de 400 m 2, en las que se identificaron y midieron (diámetro y altura) todos los árboles de diámetro mayor o igual a 7.5 cm. Se analizó la distribución de tamaños de los árboles, la diversidad de especies, su valor de importancia relativo y la biomasa aérea (a partir de ecuaciones alométricas). La especie más dominante fue Bursera simaruba y el AAF+50 presentó la menor dominancia. La distribución de clases diamétricas no varió entre las áreas de aprovechamiento y mostró un patrón de J invertida, lo cual sugiere un alto potencial de regeneración. La diversidad tampoco varió entre las áreas de aprovechamiento, mientras que el carbono almacenado en la biomasa aérea sí, siendo mayor en el AAF+50 (65.2 t /ha). Los resultados indican que el plan de manejo establecido por el ejido no ha afectado la diversidad arbórea ni su potencial de regeneración y permite un alto almacenamiento de carbono.

APROVECHAMIENTO FORESTAL BIOMASA AÉREA DISTRIBUCIÓN DE TAMAÑOS DIVERSIDAD VERDADERA SERVICIOS ECOSISTEMICOS SELVA MEDIANA SUBCADUCIFOLIA BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

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