Browsing by Subject "Environmental regulations"

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social ...

One of the techniques used in the industry for the control of variables is, from their magnitudes, such as fuel flow, air volume, amount of material mass, among others. The ceramic industry needs to measure and control ...

Curricula framework for a digital transformation master’s in science and engineering
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Vera Contreras, Milton Jesús | 2021-06-09

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social processes and the monitoring of machinery that using information and communication technologies. Nowadays the fourth industrial revolution technologies are the driver for this transformation and soon will be quantum computing and other physics and mathematics advances. Therefore, in this academic-scientific work, a curricular framework is proposed for a master's program in digital transformation for science and engineering; the framework follows the literature review and analysis to formulate the denomination and justification for the master's degree. The results are (i) a general three-level model as a roadmap for the specific curricular design of a master’s in digital transformation for science and engineering; (ii) the recommendation that a master's program has a research focus in the two categories established by the Colombian standard (research and practitioner); (ii) finally, a political, economic, social, technological, environmental, and legal analysis justifies a master’s in digital transformation for science and engineering. The research model details the phases that were carried out to characterize and identify the curriculum framework that will be the basis for formalizing the master's degree document.

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Predictive model of mass flows of gaseous emissions from beehive ovens
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mendoza lizcano, sonia maritza | 2021-08-09

One of the techniques used in the industry for the control of variables is, from their magnitudes, such as fuel flow, air volume, amount of material mass, among others. The ceramic industry needs to measure and control the polluting gases of its fixed sources in a less costly way, based on tools that allow agility in decision making to mitigate the adverse effects, not only to comply with a legal standard, but also for environmental and management commitment. The objective of the research is to design a predictive model of the concentration of polluting gases in the beehive ovens based on the results of the balance of matter and energy in the beehive ovens. An exploratory descriptive methodology was used, where data on beehive ovens and fourteen (14) continuous quantitative variables were considered through the statistical technique of multiple regression to analyze the predictive behavior of the pollutant concentration variables. As a result, the predictive capacity of the resulting model was high, explaining 79% of the total variation of the variable. The multiple correlation coefficient of the complete model was 0.79. During the analysis of the model assumptions, the Durbin Watson score reached a value of 1.971, evidencing compliance with the assumption of independence of the errors.

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Browsing by Subject "Environmental regulations"

Curricula framework for a digital transformation master’s in science and engineering

Predictive model of mass flows of gaseous emissions from beehive ovens

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Curricula framework for a digital transformation master’s in science and engineering

Predictive model of mass flows of gaseous emissions from beehive ovens

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Browsing by Subject "Environmental regulations"

Curricula framework for a digital transformation master’s in science and engineering ﻿

Predictive model of mass flows of gaseous emissions from beehive ovens ﻿

Envíos recientes

Curricula framework for a digital transformation master’s in science and engineering

Predictive model of mass flows of gaseous emissions from beehive ovens

Portales Institucionales

Curricula framework for a digital transformation master’s in science and engineering

Predictive model of mass flows of gaseous emissions from beehive ovens