Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Design of a Bioabsorbable stent as preventive treatment of complication in bariatric surgery RYGBP(2017-12-05) Jara Mendiola, Juan Manuel; Vázquez Lepe, Elisa Virginia; García López, Erika; Rodríguez González, Ciro ÁngelA new approach to the treatment of complications of RYGBP is covered by the implementation of design methodologies as quality function deployment and theory of inventive problem solving, (QFD and TRIZ) to propose a Design of a bioabsrobable stent as a preventive treatment. In despite on the variability of documented results of degradation rates of bio polymers and bio metals, a new lab protocol is proposed to homogenize both families of materials degradation rates into comparable results. The usage of PLA and AZ31 into a new protocol proposal of degradation tests were carried on. The design resultant by the design methodologies were tested by finite element analysis to compare compression resistance, flexibility and compressibility. Three design proposals are shown with acceptable performance and an expected functional life time.
- Definition of bio-physics framework for advanced driver assistance systems’ design and development(2017-12-05) Ledezma-Zavala, Edgar; Ramírez Mendoza, Ricardo; Bustamante-Bello, Rogelio; Soto Rodríguez, RogelioMost recent efforts made in the industry to the path for a full autonomous vehicle have been focusing on the automation of the vehicles’ maneuvers, and the understanding of the surroundings. While a great advance has been achieved, the most advanced implementations of such systems may be only at the scale defined by the US National Highway Traffic Safety Administration as a level 2: “automation of at least two primary control functions”. Such systems require the driver to keep their hands on the steering wheel at all the time. One popular example for this is Tesla Motors´ “Autopilot” feature, which is in fact just a diver-assistant feature rather than a fully autonomous driving system. Given an NHTSA level 2 can still drive on itself by hundreds of miles in the highway, it is easy for driver to misinterpret the real capabilities of current systems and get comfortable on letting the machine take its decisions alone, wandering around visually or mentally, believing they are using a “limited self-diving” NHTSA level 3 of automation, or even a fully autonomous level 4. Current systems have evolved to process a great amount of information coming from the environment, but they may be leaving out the most important character involved in the vehicle: the driver. This project focuses on that forgotten element in the vehicle framework and intends to stablish a robust yet flexible representation for such a concept system as a driving environment, considering the driver itself, the internal mechanics of the vehicle, and external elements such as the driveway, other vehicles or pedestrians and traffic signals both passive and possible active signals with intelligent capabilities of Intelligent Transportations Systems (ITS)