Repositorio Digital Institucional de la Universidad Autónoma de Yucatán
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Gaussian-process-based surrogate for optimization-aided and process-variations-aware analog circuit design
No full textOptimization algorithms have been successfully applied to the automatic design of analog integrated circuits. However, many of the existing solutions rely on expensive circuit simulations or use fully customized surrogate models for each particular circuit and technology. Therefore, the development of an easily adaptable low-cost and efficient tool that guarantees resiliency to variations of the resulting design, remains an open research area. In this work, we propose a computationally low-cost surrogate model for multi-objective optimization-based automated analog integrated circuit (IC) design. The surrogate has three main components: a set of Gaussian process regression models of the technology’s parameters, a physics-based model of the MOSFET device, and a set of equations of the performance metrics of the circuit under design. The surrogate model is inserted into two different state-of-the-art optimization algorithms to prove its flexibility. The efficacy of our surrogate is demonstrated through simulation validation across process corners in three different CMOS technologies, using three representative circuit building-blocks that are commonly encountered in mainstream analog/RF ICs. The proposed surrogate is 69X to 470X faster at evaluation compared with circuit simulations
Augmented Lagrangian method for a total variation-based model for demodulating phase discontinuities
No full textModelado y animación de un felino
No full textEl modelado de animales es una tarea que se lleva a cabo en muchos ámbitos de gráficas por computadora, como efectos especiales para películas, modelos para videojuegos, apps educativas, promoción y entretenimiento. En este trabajo aplicamos la tecnología de modelado y animación en 3D para crear un felino que pueda realizar animaciones. Proponemos mejoras a la técnica tradicional de modelado mediante el uso de la escultura digital y animación de objetos articulados. El modelo obtenido es una malla de 20,000 polígonos y la animación del felino tiene su base en un esqueleto compuesto de 20 huesos con 5 de ellos usando cinemática inversa
Modelación de Sistemas de Inferencia basados en la Técnica de la Tabla de Repertorio Borroso. Un Estudio Experimental
No full textOPAIEH: An Ontology-based Platform for Activity Identification of the Elderly at Home
No full textRecently, the sector of the population older than 60 years of age is growing. The assistance for the elderly at their home allows to increase their autonomy and independence while they are living alone. Several fields have emerged to improve the quality of life of the elderly, and to develop environments that offer help, support and assistance during the realization of their daily activities. The identification of activities is a key piece for the provision of assistance to seniors who live alone. This work is focused on the activity recognition of the elderly who live independently at home. Here is presented OPAIEH, an ontology-based platform for activity identification of the elderly at home. The platform includes the ontological model, which allows a new activity characterization. Also, the platform includes a sensors network, a client device, and web server to perform the recognition of different activities that the elderly do inside their home. Furthermore, the platform generates a set of graphs that shows different statistics and behaviours of the users. In order to perform an experimental test on OPAIEH, a case study was developed as a proof of concept about the use of ontologies for the activity recognition task. The results encourages us to continue our work
Prediction of Natural Products Classes Using Machine Learning and 13C NMR Spectroscopic Data
No full textEffects of soil salinity on the expression of direct and indirect defences in wild cotton Gossypium hirsutum
No full textBody mass index and body chemical components in Pelibuey ewes
No full textThe present study determined the relationship between body mass index (BMI) and chemical components in Pelibuey ewes. The BMI was determined in 28 ewes. At slaughter, internal organs and blood were weighed, then were mixed and grounded. The half-carcasses were dissected into subcutaneous and intermuscular fat, muscle, and bone. The muscle and fat of each animal were ground together, and one sample of the mixture was taken. The carcass and viscera samples were freeze-dried and further analysed for crude protein (CP), fat (F), and ash (A). The relationship between BMI and body composition were estimated using correlation coefficients (r) and regression models. The r between BMI and carcass crude protein and visceral crude protein were 0.51 and 0.48, respectively (p < 0.001), and between BMI and carcass F and visceral F were 0.82 and 0.71, respectively (p < 0.0001). The r2 of the models relating to BMI and body chemical components ranged from 0.62 to 0.97. There was a quadratic relationship between total body CP, and A. The chemical carcass components (CP, F, and carcass energy [CE]) showed a linear relationship with BMI, with an r2 ranging from 0.67 to 0.96. It was concluded that BMI could be used as predictors of body chemical composition in non-pregnant and non-lactating Pelibuey ewes. The use of empty body weight for calculating BMI yielded more accurate estimates of the chemical components of the body of adult sheep
