Nociones básicas para la valoración de proyectos de cooperación técnica internacional desde el enfoque de capacidades

Diana Laura Ramírez Pacheco (2023, [Documento de trabajo])

“Este manual tiene el propósito de mostrar una aproximación de la aplicación empírica de este enfoque en un proyecto concreto de cooperación técnica internacional, estando dirigido a estudiantes de ciencias sociales, profesionales de la cooperación internacional y el desarrollo, así como a personas funcionarias públicas y de organizaciones de la sociedad civil que busquen valorar de manera más amplia el alcance de los proyectos de CID [cooperación internacional para el desarrollo], incluso más allá de los resultados esperados. Lo anterior puede contribuir a mejorar la calidad de las intervenciones en función de lo que las personas participantes encuentren necesario y valioso para sus vidas.”

Cooperación internacional para el desarrollo; Cooperación técnica internacional; Desarrollo económico; Desarrollo social; Desarrollo humano; Proyectos de cooperación internacional para el desarrollo; Enfoque de capacidades; Estudio de casos; México; CIENCIAS SOCIALES CIENCIA POLÍTICA RELACIONES INTERNACIONALES RELACIONES INTERNACIONALES

Control de sistemas usando aprendizaje de máquina

Systems control using machine learning

Jesús Martín Miguel Martínez (2023, [Tesis de maestría])

El aprendizaje por refuerzo es un paradigma del aprendizaje de máquina con un amplio desarrollo y una creciente demanda en aplicaciones que involucran toma de decisiones y control. Es un paradigma que permite el diseño de controladores que no dependen directamente del modelo que describe la dinámica del sistema. Esto es importante ya que en aplicaciones reales es frecuente que no se disponga de dichos modelos de manera precisa. Esta tesis tiene como objetivo implementar un controlador óptimo en tiempo discreto libre de modelo. La metodología elegida se basa en algoritmos de aprendizaje por refuerzo, enfocados en sistemas con espacios de estado y acción continuos a través de modelos discretos. Se utiliza el concepto de función de valor (Q-función y función V ) y la ecuación de Bellman para resolver el problema del regulador cuadrático lineal para un sistema mecánico masa-resorte-amortiguador, en casos donde se tiene conocimiento parcial y desconocimiento total del modelo. Para ambos casos las funciones de valor son definidas explícitamente por la estructura de un aproximador paramétrico, donde el vector de pesos del aproximador es sintonizado a través de un proceso iterativo de estimación de parámetros. Cuando se tiene conocimiento parcial de la dinámica se usa el método de aprendizaje por diferencias temporales en un entrenamiento episódico, que utiliza el esquema de mínimos cuadrados con mínimos cuadrados recursivos en la sintonización del crítico y descenso del gradiente en la sintonización del actor, el mejor resultado para este esquema es usando el algoritmo de iteración de valor para la solución de la ecuación de Bellman, con un resultado significativo en términos de precisión en comparación a los valores óptimos (función DLQR). Cuando se tiene desconocimiento de la dinámica se usa el algoritmo Q-learning en entrenamiento continuo, con el esquema de mínimos cuadrados con mínimos cuadrados recursivos y el esquema de mínimos cuadrados con descenso del gradiente. Ambos esquemas usan el algoritmo de iteración de política para la solución de la ecuación de Bellman, y se obtienen resultados de aproximadamente 0.001 en la medición del error cuadrático medio. Se realiza una prueba de adaptabilidad considerando variaciones que puedan suceder en los parámetros de la planta, siendo el esquema de mínimos cuadrados con mínimos cuadrados recursivos el que tiene los mejores resultados, reduciendo significativamente ...

Reinforcement learning is a machine learning paradigm with extensive development and growing demand in decision-making and control applications. This technique allows the design of controllers that do not directly depend on the model describing the system dynamics. It is useful in real-world applications, where accurate models are often unavailable. The objective of this work is to implement a modelfree discrete-time optimal controller. Through discrete models, we implemented reinforcement learning algorithms focused on systems with continuous state and action spaces. The concepts of value-function, Q-function, V -function, and the Bellman equation are employed to solve the linear quadratic regulator problem for a mass-spring-damper system in a partially known and utterly unknown model. For both cases, the value functions are explicitly defined by a parametric approximator’s structure, where the weight vector is tuned through an iterative parameter estimation process. When partial knowledge of the dynamics is available, the temporal difference learning method is used under episodic training, utilizing the least squares with a recursive least squares scheme for tuning the critic and gradient descent for the actor´s tuning. The best result for this scheme is achieved using the value iteration algorithm for solving the Bellman equation, yielding significant improvements in approximating the optimal values (DLQR function). When the dynamics are entirely unknown, the Q-learning algorithm is employed in continuous training, employing the least squares with recursive least squares and the gradient descent schemes. Both schemes use the policy iteration algorithm to solve the Bellman equation, and the system’s response using the obtained values was compared to the one using the theoretical optimal values, yielding approximately zero mean squared error between them. An adaptability test is conducted considering variations that may occur in plant parameters, with the least squares with recursive least squares scheme yielding the best results, significantly reducing the number of iterations required for convergence to optimal values.

aprendizaje por refuerzo, control óptimo, control adaptativo, sistemas mecánicos, libre de modelo, dinámica totalmente desconocida, aproximación paramétrica, Q-learning, iteración de política reinforcement learning, optimal control, adaptive control, mechanical systems, modelfree, utterly unknown dynamics, parametric approximation, Q-learning, policy iteration INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES INTELIGENCIA ARTIFICIAL INTELIGENCIA ARTIFICIAL

Hábitos alimenticios y aportación nutricional de la dieta de Paralichthys californicus, en la Bahía de Todos Santos y estero de Punta Banda, Ensenada, B.C

María Idalia Sandoval Muy (1995, [Tesis de maestría])

Se analizaron 289 estómagos para describir la dieta de Paralichthys californicus en la Bahía de Todos Santos y el Estero de Punta Banda (junio de 1992 a marzo de 1993), realizando una separación por área y estación (invierno y verano). Se determinó realizar la descripción de la dieta a nivel de grupos presa para categorizar las presas ingeridas, y se emplearon los índices de porciento numérico, de peso, de frecuencia de ocurrencia, y el Índice de Importancia Relativa (IIR). Los organismos de la bahía presentaron mayor talla promedio (154.2 ±D.E.37.2mm) que los colectados en el estero (107.9 ±36.85mm), la cual fue diferente (K-W, p<0.001) tanto entre las dos áreas como entre invierno y verano de cada zona. En ambos lugares los organismos de menor talla se encontraron en invierno. Se identificaron cuatro presas a nivel familia, ocho a nivel género, y 15 a nivel especie. Los principales componentes de la dieta en la bahía durante invierno, fueron mysidos con 88.4% del I.I.R. (Metainysidopsis elongata, 62. l %), carideos (10%) y peces; en el verano el grupo más importante nuevamente fue mysidos (98.7%), y el resto gamáridos, carideos y peces. De las presas presentes en el estero, los peces fueron los más importantes (95.6%) en el invierno destacando góbidos (60.63%) y principalmente Ilypnus gilberti (30.5%); en el verano, varias especies de góbidos 31.68% y otras especies de peces (35.2%). Se encontraron diferencias (p<0.01) en el número de presas tanto entre las dos áreas como entre el invierno y el verano de ambos lugares. En el estero, se detectaron diferencias en el porcentaje de proteínas de los contenidos estomacales en los dos grupos de tallas y estaciones del año; un resultado similar fue para lípidos. Una estimación de las calorías con base en el contenido de lípidos y proteínas de las principales presas, indicó que el aporte calórico al depredador está en función del número y tipo de presa ingerida y no a la selección de las presas por el lenguado, esto puede reflejar la disponibilidad del alimento. Los valores de ración diaria fueron mayores para la bahía (0.22-0.24 Kcal/g) que para el estero (0.10-0.12 Kcal/g), y no se encontró un efecto del cambio de temperatura entre verano e invierno (Q10 <1.4) para ambos lugares.

A total of 289 stomachs were analyzed to describe the diet of Paralichthys californicus juveniles in Bahía de Todos Santos and Estero de Punta Banda, B.C., México (June 1992 to March 1993); after the collection, the stomachs were grouped in winter and summer seasons of each area. Diet was described to higher-1evel taxonomic categories based on the percent in number, wet weight, and frequency of occurrence and the prey importance by the Index of Relative Importance (IIR). Largest organisms (154.2± D.E.37.2mm SL) were found in the hay than those from the estuary (107.9±.36.85mm), with a significative difference between areas and between winter and summer of each site (K-W, <0.001) In both areas the minor size organisms were collected during winter. The lowest taxon identified as preys in both areas were four at family leve1, and eight to genus and 15 to species level. Mysids (IRI = 88.4%) with Metamysidopsis elongata (62.1 %), carideans (10.2%), and fishes were the most important food items in the bay during winter; in summer, the mysids (IRI = 98.4%, M. elongata, IRI = 35.3%), carideans (0.9%) and the fishes, again. ln the estuary (winter), the rnost important were the fishes (IRI = 95.6%) with members of the gobies (60.63%) mainly llypnus gilberti (30.5%); a small percent was provided by invertebrates (0.08%); in summer, the fishes (66.9%), gamarids (17%) and the mysids ( 13. 8%) domínate the diet. Significant differences was found in prey numbers between areas and between seasons of each site. In the estuary, differences in the protein content from stomachs of two groups size were found; these differences were detected between seasons, and similar results was detected in lipids. The calories values (based in lipid and protein content) from the main prey, indicate that the caloric contribution is a function of kind and prey numbers, more than the selection by the halibul, this may indicate the food disponibility. The daily ration in bay (0.22-0.24 Kcal/g) was greater than in the estuary (0.10-0.12), and no effect of the temperature change in summer and winter (Q10 <1.4) for both areas were found.

Lenguado de california,Paralichthys californicus,Bahía de Todos Santos,Estero de Punta Banda,Baja California,Ciencias del mar CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS PECES Y FAUNA SILVESTRE PECES Y FAUNA SILVESTRE

Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat

Jonathan Gabriel Escobar Flores (2019, [Artículo])

In arid ecosystems, desert bighorn sheep are dependent on natural waterholes, particularly in summer when forage is scarce and environmental temperatures are high. To detect waterholes in Sierra Santa Isabel, which is the largest area of desert bighorn sheep habitat in the state of Baja California, Mexico, we used the normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) from Sentinel-2 satellite images. Waterhole detection was based on the premise that sites with greater water availability, where NDVI was higher, can be identified by their density of vegetation greenness. For the detected waterholes, we estimated the escape terrain (presence of cliffs or steep, rocky slopes) around each by the vector ruggedness measure to determine their potential use by desert bighorn sheep based on the animals’ presence as documented by camera traps. We detected 14 waterholes with the NDVI of which 11 were known by land owners and 3 were unrecorded. Desert bighorn were not detected in waterholes with high values of escape terrain, i.e., flat areas. Waterhole detection by NDVI is a simple method, and with the assistance and knowledge of the inhabitants of the Sierra, it was possible to confirm the presence each waterhole in the field. © 2019 Escobar-Flores et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Article, bighorn sheep, environmental aspects and related phenomena, environmental parameters, habitat, Mexico, nonhuman, normalized difference vegetation index, normalized difference water index, water availability, waterhole, animal, bighorn sheep, CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS CIENCIA FORESTAL CIENCIA FORESTAL

Effects of geostrophic kinetic energy on the distribution of mesopelagic fish larvae in the southern Gulf of California in summer/fall stratified seasons

FERNANDO CONTRERAS CATALA (2016, [Artículo])

Effects of geostrophic kinetic energy flux on the three-dimensional distribution of fish larvae of mesopelagic species (Vinciguerria lucetia, Diogenichthys laternatus, Benthosema panamense and Triphoturus mexicanus) in the southern Gulf of California during summer and fall seasons of stronger stratification were analyzed. The greatest larval abundance was found at sampling stations in geostrophic kinetic energy-poor areas (&lt;7.5 J/m3), where the distribution of the dominant species tended to be stratified. Larvae of V. lucetia (average abundance of 318 larvae/10m2) and B. panamense (174 larvae/10m2) were mostly located in and above the pycnocline (typically ∼ 40 m depth). In contrast, larvae of D. laternatus (60 larvae/10m2) were mainly located in and below the pycnocline. On the other hand, in sampling stations from geostrophic kinetic energy-rich areas (&gt; 21 J/m3), where mesoscale eddies were present, the larvae of the dominant species had low abundance and were spread more evenly through the water column, in spite of the water column stratification. For example, in a cyclonic eddy, V. lucetia larvae (34 larvae/10m2) extended their distribution to, at least, the limit of sampling 200 m depth below the pycnocline, while D. laternatus larvae (29 larvae/10m2) were found right up to the surface, both probably as a consequence mixing and secondary circulation in the eddy. Results showed that the level of the geostrophic kinetic energy flux affects the abundance and the three-dimensional distribution of mesopelagic fish larvae during the seasons of stronger stratification, indicating that areas with low geostrophic kinetic energy may be advantageous for feeding and development of mesopelagic fish larvae because of greater water column stability. © 2016 Contreras-Catala et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Article, autumn, Benthosema panamense, Diogenichthys laternatus, environmental factor, environmental parameters, fish, geographic distribution, geostrophic kinetic energy, hydrography, larva, nonhuman, population abundance, population dispersion, pop CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA

Freshwater exchanges and surface salinity in the Colombian basin, Caribbean Sea

Emilio Beier (2017, [Artículo])

Despite the heavy regional rainfall and considerable discharge of many rivers into the Colombian Basin, there have been few detailed studies about the dilution of Caribbean Surface Water and the variability of salinity in the southwestern Caribbean. An analysis of the precipitation, evaporation and runoff in relation to the climate variability demonstrates that although the salt balance in the Colombian Basin overall is in equilibrium, the area south of 12N is an important dilution sub-basin. In the southwest of the basin, in the region of the Panama-Colombia Gyre, Caribbean Sea Water is diluted by precipitation and runoff year round, while in the northeast, off La Guajira, its salinity increases from December to May by upwelling. At the interannual scale, continental runoff is related to El Niño Southern Oscillation, and precipitation and evaporation south of 12°N are related to the Caribbean Low Level Jet. During El Niño years the maximum salinification occurs in the dry season (December-February) while in La Niña years the maximum dilution (or freshening), reaching La Guajira Coastal Zone, occurs in the wet season (September-November). © 2017 Beier et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

sea water, fresh water, Article, Caribbean, dilution, dry season, El Nino, environmental parameters, evaporation, freshwater exchange, geographic distribution, molecular weight, oscillation, precipitation, river basin, salinity, seasonal variation, s CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA