Filtrar por:
Tipo de publicación
- Artículo (14)
- Tesis de maestría (2)
- Capítulo de libro (1)
- Objeto de congreso (1)
- Documento de trabajo (1)
Autores
- Jose Crossa (4)
- Osval Antonio Montesinos-Lopez (4)
- Brandon Alejandro Mosqueda González (2)
- Paulino Pérez-Rodríguez (2)
- A G ADEETH CARIAPPA (1)
Años de Publicación
Editores
- American Institute of Mathematical Sciences (1)
- CIATEQ, A.C. (1)
- CICESE (1)
- El Colegio de San Luis, A.C. (1)
- Institute of Electrical and Electronics Engineers Inc. (1)
Repositorios Orígen
- Repositorio Institucional de Publicaciones Multimedia del CIMMYT (10)
- CIATEQ Digital (3)
- Repositorio Institucional CICESE (2)
- Repositorio COLSAN (1)
- Repositorio Institucional CIBNOR (1)
Tipos de Acceso
- oa:openAccess (19)
Idiomas
Materias
- CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA (10)
- OTRAS (8)
- CIENCIAS TECNOLÓGICAS (5)
- INGENIERÍA Y TECNOLOGÍA (5)
- METHODS (4)
Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
José Humberto Jacobo Solís (2023, [Capítulo de libro])
Este trabajo tiene por objetivo presentar una visión alternativa para el diseño industrial, la cual se centra en el desarrollo de conceptos de negocio en lugar de únicamente centrarse en el desarrollo de productos. Asimismo, esta visión intenta romper con ciertos paradigmas que se enfocan en el rechazo hacia a la innovación y hacia la comercialización de los conceptos resultantes del proceso de diseño, a través de la exposición de las posturas de diversos autores quienes consideran que la innovación es el camino para lograr enfrentar los grandes desafíos sociales y ambientales que aquejan a la sociedad actual. Finalmente, este documento presenta únicamente las bases para la realización de un trabajo de investigación mucho más profundo, el cual permita darle mayor validez a la idea central de que el diseño debe evolucionar de una disciplina enfocada en el desarrollo de productos hacia una enfocada en el desarrollo de conceptos de negocio.
This work aims to present an alternative vision for industrial design, which focuses on the development of business concepts instead of only focusing on product development. Likewise, this vision tries to break with certain paradigms that focus on the rejection of innovation and the commercialization of the concepts resulting from the design process, through the exposition of the positions of various authors who consider that innovation is the way to face the great social and environmental challenges that afflict today’s society. Finally, this document only presents the bases for carrying out a much deeper research work, which allows giving greater validity to the central idea that design must evolve from a discipline focused on product development to one focused on the development of business concepts.
Diseño conceptual, innovación, conceptualización, concepto de diseño. Conceptual design, innovation, conceptualization, design concept. Product design. Industrial design. Creative ability. Product design--Methodology. Diseño de producto. Diseño industrial. Aptitud creadora. TS171.4 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS
Gerald Blasch David Hodson Francelino Rodrigues (2023, [Artículo])
Very high (spatial and temporal) resolution satellite (VHRS) and high-resolution unmanned aerial vehicle (UAV) imagery provides the opportunity to develop new crop disease detection methods at early growth stages with utility for early warning systems. The capability of multispectral UAV, SkySat and Pleiades imagery as a high throughput phenotyping (HTP) and rapid disease detection tool for wheat rusts is assessed. In a randomized trial with and without fungicide control, six bread wheat varieties with differing rust resistance were monitored using UAV and VHRS. In total, 18 spectral features served as predictors for stem and yellow rust disease progression and associated yield loss. Several spectral features demonstrated strong predictive power for the detection of combined wheat rust diseases and the estimation of varieties’ response to disease stress and grain yield. Visible spectral (VIS) bands (Green, Red) were more useful at booting, shifting to VIS–NIR (near-infrared) vegetation indices (e.g., NDVI, RVI) at heading. The top-performing spectral features for disease progression and grain yield were the Red band and UAV-derived RVI and NDVI. Our findings provide valuable insight into the upscaling capability of multispectral sensors for disease detection, demonstrating the possibility of upscaling disease detection from plot to regional scales at early growth stages.
Very High Resolution Imagery Disease Detection Methods Early Growth Stages CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA UNMANNED AERIAL VEHICLES STEM RUST PHENOTYPING HIGH-THROUGHPUT PHENOTYPING WHEAT
Systematic Literature Review on Smart Specialization: Future Prospects and Opportunities
Beatriz Rosas Michael Demmler (2023, [Artículo])
"Smart specialisation (SS) has been the new cohesion policy in the European Union during the last two periods. The present study aims to analyse the most relevant existing state-of-the-art literature on smart specialisation through a systematic and bibliometric review. Using the Web of Science bibliographic database, we analysed the content of 207 articles under the TCCM methodology and constructed a network of citations in order to summarize theories, characteristics, context and methods presented in existing studies on the topic. Our results show the theoretical and methodological gaps of the past, such as Entrepreneurial Discovery Process and SS indicators. These remain to the present day. The context analysis showed that the scope of smart specialisation extended beyond the frontiers of the European Union, given how it has been adopted by other countries as well. These results suggest the importance of developing a more robust theoretical, conceptual and methodological framework. Consequently, the guides need to be more accurate and should be continuously updated. Our results are valuable for the EDP actors and have policymaking implications".
Especialización inteligente Estrategias de innovación regional Revisión de literatura sistemática Métodos de especialización inteligente Smart specialization Smart specialization methods CIENCIAS SOCIALES CIENCIAS SOCIALES
Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
Rodomiro Ortiz Paulino Pérez-Rodríguez Osval Antonio Montesinos-Lopez Jose Crossa (2023, [Artículo])
Potato Traits Cross-Validation Breeding Data CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEAST SQUARES METHOD POTATOES ENVIRONMENT PLANT BREEDING
Predictive methodology for rear seat analysis in seat belt anchorage testings
José Guadalupe Velasco Ortega GIOVANNI VIDAL FLORES (2023, [Artículo])
Se presenta una metodología a seguir para el análisis de un asiento trasero durante la prueba de anclaje del cinturón de seguridad, establecida en la norma FMVSS 210 por sus siglas en ingles Federal Motor Vehicle Safety Standards. Es importante destacar que el cinturón de seguridad reduce el riesgo de lesiones, y en caso de colisión, el cinturón ayuda a distribuir la fuerza del impacto en una superficie más grande es decir la estructura metálica del asiento, lo que se busca es minimizar el riesgo de lesiones graves. La metodología propuesta tiene el fin de predecir el desempeño como función del desplazamiento de la estructura metálica mediante el uso del elemento finito (FEM). En esta metodología, se analiza la menor cantidad de elementos que compone la estructura del asiento con el propósito de reducir el tiempo del análisis, considerando solo los elementos y componentes que tienen mayor efecto con el desempeño del cinturón de seguridad, generando el análisis más rápido y eficiente. Al contrastar los resultados obtenidos a través del análisis mediante elemento finito con las pruebas reales se determinó que el método FEM es eficaz para predecir los puntos débiles de la estructura metálica que influyen en el desplazamiento y/o deformación del asiento durante la prueba.
A methodology is presented for analysis of a rear seat during the Safety Belt Anchorage test established in FMVSS 210 [1], which stands for Federal Motor Vehicle Safety Standards. It is important to note that the safety belt reduces the risk of injury, and in the event of a collision, the belt helps distribute the force of the impact over a larger surface area, namely the metal structure of the seat. The goal is to minimize the risk of serious injuries. The goal of proposed methodology is to predict the performance as a function of displacement of the metal structure by using Finite Element Method (FEM). In this methodology, the minimum number of elements that make up the seat structure is analyzed in order to reduce analysis time, considering only the elements that play and have effect on the performance of the safety belt, thus generating a faster and more efficient analysis. By comparing the results obtained through Finite Element Method with the actual test, it was determined that the FEM method is effective in predicting the weak points of the metal structure that influence the displacement and/or deformation of the seat during the test.
FVMSS 210 Método de elemento finito Asiento trasero Prueba de anclaje Cinturón de seguridad Finite element method Rear seat Anchorage test Seat belt INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS
Novel Low-cost Energy Harvester Based on anArrangement of Piezoelectric Actuators
CARLOS ANDRES FERRARA BELLO Margarita Tecpoyotl Torres (2024, [Artículo])
This article provides the design, modeling, fabrication, and testing of an energy
harvester from mechanical vibrations, based on a piezoelectric material. This device
works on the principle of piezoelectric transduction, i.e., when mechanically
deformed, it generates electrical energy due to vibrations. The piezoelectric material
used in the fabrication was Lead Zirconate Titanate (PZT), and brass as structural
base. In addition, finite element models were performed to predict the frequency of
the first vibration mode of the device, and experimental setups for validation. The
resonance frequency of the numerical model and the one obtained experimentally (19
Hz) show a deviation of 5.03% respectively. The generated power is 0.202 mW enough
to power low power devices such as basic calculators, wristwatches, and transistors, among others.
En este artículo se presenta el diseño, modelado, fabricación y pruebas de un cosechador de energía proveniente de vibraciones mecánicas, basado en un material piezoeléctrico. Este dispositivo trabaja bajo el principio de transducción piezoeléctrica, es decir que, al deformarse mecánicamente, debido a las vibraciones genera energía eléctrica. El material piezoeléctrico usado en la fabricación fue Zirconato Titanato de Plomo (PZT), y latón como base estructural. Además, se realizaron modelos de elemento finito para predecir la frecuencia del primer modo de vibración del dispositivo, y arreglos experimentales para su validación. La frecuencia de resonancia del modelo numérico y la obtenida experimentalmente (19 Hz) muestran una desviación de 5.03% respectivamente. La potencia generada es de0.202 mW suficiente para alimentar dispositivos de bajo consumo, tales como calculadoras básicas, relojes de pulsera y transistores, entre otros.
INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS Finite Element Method, low-energy devices, vibration, piezoelectric transducer
Roberto Carlos Morales-Hernández Joaquín Gutiérrez Jaguey David Becerra-Alonso (2022, [Artículo])
"The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural Language Processing techniques to articles from peer-reviewed journals to facilitate their classification according to the 17 Sustainable Development Goals of the 2030 Agenda. This article compares the performance of multi-label text classification models based on a proposed framework with datasets of different characteristics. The results show that the combination of Label Powerset (a transformation method) with Support Vector Machine (a classification algorithm) can achieve an accuracy of up to 87% for an imbalanced dataset, 83% for a dataset with the same number of instances per label, and even 91% for a multiclass dataset."
Classification algorithm, multi-label text classification, problem transformation method, scientific articles, sustainable development goals, text classification INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES LENGUAJES ALGORÍTMICOS LENGUAJES ALGORÍTMICOS
Trophic ecology of Mexican Pacific harbor seal colonies using carbon and nitrogen stable isotopes
MARICELA JUAREZ RODRIGUEZ (2020, [Artículo])
There is limited information that provides a comprehensive understanding of the trophic ecology of Mexican Pacific harbor seal (Phoca vitulina richardii) colonies. While scat analysis has been used to determine the diet of some colonies, the integrative characterization of its feeding habits on broader temporal and spatial scales remains limited. We examined potential feeding grounds, trophic niche width, and overlap, and inferred the degree of dietary specialization using stable carbon and nitrogen isotope ratios (δ13C and δ15N) in this subspecies. We analyzed δ13C and δ15N on fur samples from pups collected at five sites along the western coast of the Baja California Peninsula, Mexico. Fur of natal coat of Pacific harbor seal pups begins to grow during the seventh month in utero until the last stage of gestation. Therefore pup fur is a good proxy for the mother's feeding habits in winter (∼December to March), based on the timing of gestation for the subspecies in this region. Our results indicated that the δ13C and δ15N values differed significantly among sampling sites, with the highest mean δ15N value occurring at the southernmost site, reflecting a well-characterized north to south latitudinal 15N-enrichment in the food web. The tendency identified in δ13C values, in which the northern colonies showed the most enriched values, suggests nearshore and benthic-demersal feeding habits. A low variance in δ13C and δ15N values for each colony (<1‰) and relatively small standard ellipse areas suggest a specialized foraging behavior in adult female Pacific harbor seals in Mexican waters. © 2020 Juárez-Rodríguez et al.
carbon, delta carbon 13, delta nitrogen 15, isotope, nitrogen, unclassified drug, carbon, nitrogen, Article, correlational study, feeding behavior, latitude, Mexico, nonhuman, organism colony, Pinnipedia, population abundance, species richness, troph BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) BIOLOGÍA ANIMAL (ZOOLOGÍA)
Ricardo Adolfo Hidalgo Rodríguez (2023, [Tesis de maestría])
Este trabajo se realizó en la sección de la subcuenca Ojos Negros, sobre el bloque de montaña de la Sierra de Juárez (denominado Sistema de Bloque de Montaña de la Subcuenca Ojos Negros, SBMON), en el estado de Baja California, México. Se llevó a cabo un modelado hidrológico del escurrimiento en el periodo 1981-2020 para cuantificar el aporte hidrológico de salida hacia el Valle de Ojos Negros. En cumplimiento del objetivo, se diseñó una base de datos meteorológicos compuesta por los registros diarios de las estaciones meteorológicas en la región y del modelo de forzamiento de superficie NLDAS2. Se recopiló un conjunto de información edafológica, forestal, geológica, satelital y topográfica dentro del área de estudio. Con la información recolectada, se elaboraron dos modelos de escurrimiento empleando el método de las curvas numeradas (CN) del Departamento de Agricultura de los Estados Unidos (USDA). Los modelos fueron ajustados con los valores de sustracción inicial, Ia, de 0.2 (modelo A) y 0.05 (modelo B). Las series generadas se compararon con los resultados del modelo GCN250, basado en los datos edafológicos y forestales de la Agencia Espacial Europea (ESA). A nivel regional, se observó un aporte de escurrimiento anual de 9.2 Mm3 (GCN250), 10.9 Mm3 (modelo A) y 4.7 Mm3 (modelo B). La sección oriental del SBMON mostró el mayor potencial de infiltración, pero también fue la zona con mayor producción de escurrimiento en todos los modelos. Desde la perspectiva estacional, se identificaron periodos donde los escurrimientos formados a partir de las lluvias en verano superaron a los generados en la temporada invernal. Con base a los resultados obtenidos, el aporte de escurrimiento dentro del SBMON es significativa, no obstante, los procesos de escurrimiento subsuperficial y subterráneo pueden tener un papel todavía más importante en la recarga hacia el Valle de Ojos Negros. Se recomienda dar seguimiento a la variación del contenido de humedad en los suelos del SBMON, a los patrones anuales y estacionales de precipitación, así como la contribución hídrica del derretimiento de la nieve en la Sierra de Juárez.
This work was realized in the section of the Ojos Negros sub-basin, on the Sierra de Juárez mountain block (denominated Mountain Block System of the Ojos Negros Sub-Basin, SBMON), in the state of Baja California, Mexico. A hydrological runoff modeling was carried out for the period 1981-2020 to quantify the output hydrological contribution toward the Ojos Negros Valley. In compliance with the objective, a meteorological database consisting of the daily records of the meteorological stations and the NLDAS-2 surface forcing model was designed. A set of edaphological, forestry, geological, satellite, and topographical information was collected within the study area. Based on the collected information, two runoff models were developed using the Curve Number (CN) method from the United States Department of Agriculture (USDA). The models were adjusted with the initial subtraction values, Ia, of 0.2 (model A) and 0.05 (model B). The generated series were compared with the results of the GCN250 model, based on soil and forestry data from the European Space Agency (ESA). Regionally, an annual runoff contribution of 9.2 Mm3 (GCN250), 10.9 Mm3 (model A), and 4.7 Mm3 (model B) was observed. The eastern section of the SBMON showed the highest infiltration potential, but it was also the area with the highest runoff production in all models. From the seasonal perspective, periods were identified where the runoff formed from summer rains exceeded that generated in the winter season. Based on the results obtained, the runoff contribution within the SBMON is significant, however, the subsurface and underground runoff processes may have an even more key role in the recharge toward the Ojos Negros Valley. It is recommended to monitor the variation of the moisture content in the SBMON soils, the annual and seasonal patterns of precipitation, as well as the water contribution from the snow melting in the Sierra de Juárez.
Sistema de bloque de montaña de la subcuenca Ojos Negros, escurrimiento, infiltración, método de las Curvas Numeradas, GCN250 Mountain Block System of the Ojos Negros Sub-Basin, runoff, infiltration, Curve Number method, GCN250 CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OTRAS ESPECIALIDADES DE LA TIERRA, ESPACIO O ENTORNO OTRAS OTRAS