The University of Texas at San Antonio
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Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; This report represents the first stage of producing a new CFD model capable of calculating paint deposition rate in a robot spray gun for a range of input variables. This will be achieved by analysing the sensitivity of the atomisation and deposition process to each of the major controllable inputs to the system. This report accurately measures the viscosity of several high solid solvent based paints across a range of temperatures and shear rates occurring in industrial spraying processes. Based on a number of practical experiments, statistical regression is used to determine paint viscosity as a function of temperature and applied rate of shear. Results will be used to inform the next stage of computer modelling using measured accurate values for spray paint rheology to better predict spray paint deposition and final film thicknes
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Engineering construction projects commonly suffer from cost and time overruns, for most of the time because of uncertainties that are not carefully considered during bidding for contracts and budget project planning. These uncertainties place the project at risk of poor quality delivery and also not adhering to the time and budget schedule within the original contractual agreement. A clear focus on risk analysis and its management from the onset is essential to guide project planning and also to achieve optimal performance in construction projects. The research carried out here presents a risk assessment methodology based on the Bayesian belief network, which is an effective tool for knowledge representation and reasoning under conditions of uncertainty, structural learning procedure, combination of different source of knowledge, explicit treatment of uncertainty and support for decision analysis and fast responses for risk assessment. Bayesian belief network therefore, is a scenario planning tool suitable for project risk management because of its systematic and integrated process approach to the analysis of key risk factors affecting project delivery, with a view to predict the worst and best case scenarios and thereby guide project planning. The proposed methodology developed in this study is partly based on knowledge and experiences acquired from experts who are in a position to provide information on the sources of uncertainty, and the causes of uncertain condition with a view to generate optimal response strategies to support a successful project outcom
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; In this highly dynamic environment, data and information are rapidly changing in time. For a decision support system, to capture continuum data and then to extract knowledge from data is in high demand. Our research work focus on developing a systematic approach for discovering causal relations among data and dynamic updating upon to the varying goals. Bayesian network is a powerful tool for representing knowledge and tackling the above inquires. In this research, the entropy-based searching mechanism designed on Bayesian network is adopted to learn the structure of a goal-specific mission. Link strength and connection strength are the measures for selecting links to be added and subtracted. However, these two measures are the relative measures instead of absolute thresholds. Initially, we designed a link/connection strength selecting method for possible adjacency matrices in tabu searching. In the second phase, we used a homogeneity test to ensure the quality of the learned structure. The results of this study will be an important stepping stone to attain the learning requirements of designing, building, and operating effective decision support systems under dynamic environmen
Andrea Figueroa - Media links
No full textElectronic Records related to MS 434, Community Alliance for A United San Antonio (CAUSA). The CAUSA\Andrea Figueroa\Media links folder contains Word documents with links to local, regional, national, and social media sites
Bexar Tracks: The Newsletter of the Bexar Audubon Society, Vol. 29, No. 01
No full textBexar Tracks began with Vol. 4, no. 1 (January 1986). It continues Newsletter (Bexar Audubon Society).Illustrations included; 22-36 cm
Nepohualtzitzin en el model matemático figurativo náhuatl; Modelo matematico náhuatl
No full text"The purpose of this work is to widen the vision of mathematic reasoning, so as new generations may have access to the ancient Nahuatl thinking, which is the guide towards an outstanding socio-cultural organization, where they would be able to know its significance, to have more solutions and to interpret the logical system made of symbols and natural situations ..."--Prologue; 1st edition; Cover subtitle: Evidencia de su existencia a través de un retrato figurativo hablado en Náhuatl; Includes bibliographical references (pages [137-140]; Available also in Spanis
Annual Report
No full textThis collection includes digitized publications of the Texas Biomedical Research Institute between 1953 and the present
Adams Extract and Spice, LLC certificates
No full textTexas House of Representatives certificate for Adams Extract 125th birthda
Interview with Marc J. Olivarez, April 2013
No full textThese oral histories were conducted in the Spring 2013 semester of the Mexican American Culture (BBL 3023) course taught by Dr. Marie Miranda. The course is a survey of Mexican American cultural distinctiveness in the areas of biculturalism, cultural production, and social organization. This offering of the course examined Chicana/o popular culture focusing on music
Interview with Adriana Olveda Reyes, April 16, 2013
No full textThese oral histories were conducted in the Spring 2013 semester of the Mexican American Culture (BBL 3023) course taught by Dr. Marie Miranda. The course is a survey of Mexican American cultural distinctiveness in the areas of biculturalism, cultural production, and social organization. This offering of the course examined Chicana/o popular culture focusing on music