Browsing Ingeniería de Sistemas by Title
Now showing items 108-127 of 247
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Introducing New Sources of Green Energy from Basic Physics at the Systems Engineering Program of a Private University at Lima Perú
(ACM DL DIGITAL LIBRARY, 2022)Acceso restringidoThe hours of laboratory of courses of physics, is a must at the processes of learning of future engineer because it corroborates the theory mainly based at equations, as well as it provides confidence at the students that ... -
Ions Diffusion and Electrodynamics Interactions Inside Pancreatic Beta Cells
(Institute of Electrical and Electronics Engineers, 2020-12-16)Acceso restringidoIn this paper a hybrid scheme given by diffusion equation in conjunction to classical electrodynamics to examine physics-based mechanisms behind the behavior of beta cells, is presented. Particular attention is paid on the ... -
IoT system for CO2 level monitoring and analysis in educational environments
(WYDAWNIC TWO SIGMA-NOT, 2023)Acceso restringidoFrom the need derived from the pandemic originated by COVID-19 regarding the development of academic activities in a face-to-face manner, respecting biosafety protocols and ensuring that the air quality in classrooms is ... -
IoT System for Vital Signs Monitoring in Suspicious Cases of Covid-19
(Science and Information Organization, 2021)Acceso abiertoCurrently the world is going through a pandemic caused by Covid-19, the World Health Organization recommends to stay isolated from the rest of the people. This research shows the development of a prototype based on the ... -
Is Drug Delivery System a Deterministic or Probabilistic Approach? A Theoretical Model Based on the Sequence: Electrodynamics–Diffusion–Bayes
(MDPI, 2023)Acceso abiertoCommonly, it is accepted that oncology treatment would yield outcomes with a certain determinism without any quantitative support or mathematical model that establishes such deter minations. Nowadays, with the advent of ... -
Kirchhoff’s Voltage Law at Neural Synapse From Electric Currents Based at Neurotransmiters
(IEEE, 2023)Acceso restringidoBecause the neural complexity at brain and the demonstrated electric activity, this paper triggers the hypothesis that the neural synapse might be a tangible outcome of kirchhoff’s laws. Thus, when a direct association ... -
Lessons Learned and Software Process Improvement
(Association for Computing Machinery, 2017-08)Acceso abiertoCurrent methods focus on the aspects related to the lessons learned, feedback and information sharing, however many organizations do not establish feedback mechanisms for organizational learning with the lessons learned ... -
Limitaciones para Finalizar la Tesis: Caso de Estudio
(International Business Information Management Association, 2018)Acceso restringidoThe students mostly complete the studies; however, they do not finish the Thesis an indispensable requirement for obtaining the degree. Thesis development is a complex process and has been denominated multiplicity. A factor ... -
Limitations in Thesis Development of Systems Engineering: Knowledge and Skills
(Springer, 2021)Acceso restringidoThe thesis development is a combined process that requires the student’s knowledge, skills, and self-determination to complete the thesis and reach the desired degree. Despite the efforts made by students, research supervisor ... -
Limitations on the Phases and Activities of Thesis Development
(RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2023)Acceso restringidoThe thesis is part of the scientific production of universities and in the case of undergraduate students, allows them to achieve the professional title. Several studies argue that the process of preparing the thesis is ... -
Location-based Mobile Application for Blood Donor Search
(The Science and Information Organization, 2022)Acceso abiertoTechnological advances and the massive use of mobile devices have led to the exponential evolution of mobile applications in the health sector. Blood donation centers frequently suffer blood shortages due to lack of ... -
M-Learning applied to the improvement of the learning of university engineering students
(Institute of Electrical and Electronics Engineers, 2019-09)Acceso restringidoThis paper is intended to determine the extent to which the M-learning model with methodological strategies improves the learning of student’s undergraduates of the Systems Engineering career. The method used was developed ... -
Machine Learning Analysis for Cervical Cancer Prediction, a Systematic Review of the Literature
(Institute of Electrical and Electronics Engineers, 2021-12-30)Acceso restringidoAt present, cervical cancer is still the most complex issue due to the fact that people who suffer from it have a high risk of death. Therefore, it is very important to have an early diagnosis. The present study is a review ... -
Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature
(Springer Link, 2023)Acceso restringidoIn recent years, diabetes mellitus has increased its prevalence in the global landscape, and currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a critical picture of this disease. In ... -
Machine Learning and Bayes Probability For Detecting Camouflaged Mini Pandemic at the Waves of Covid-19
(IEEE, 2022)Acceso restringidoThis paper present a methodology based at Machine Learning and a theory backed by the Bayes probability to identify rare strains that might not be in coherence with the corona virus. By using the criteria of Tom Mitchell ... -
Machine Learning As a Blind Creator of Infinite Algebras in the Context of Strings Theory
(IEEE, 2023)Acceso restringidoThis paper, presents the scenario that basic algorithms based at the principles of Machine Learning can massively produce a huge amount of algebras. The case of Witt algebra has been focused. Once this algebra is reformulated ... -
Machine Learning As an Advanced Algorithm To Solve Optimization Problems in Physics
(Institute of Electrical and Electronics Engineers, 2021-08-19)Acceso restringidoIt is argued that the standard procedures to solve problems in physics particularly in the field of electrodynamics have in a tacit manner the actions of Machine Learning, such as the criteria of Tom Mitchell, (i) task, ... -
Machine Learning for Management in Software-defined Networks: A Systematic Literature Review
(DBpia, 2022)Acceso restringidoSoftware-Defined Networking (SDN) has emerged as a new paradigm for managing data networks, and Machine Learning (ML) techniques have become relevant in the scientific community to solve management problems. Research on ... -
Machine Learning for Price Prediction for Agricultural Products
(World Scientific and Engineering Academy and Society, 2021-06-07)Acceso abiertoFamily farms play a role in economic development. Limited in terms of land, water and capital resources, family farming is essentially characterized by its use of family labour. Family farms must choose which agricultural ... -
Machine Learning of a Pair of Charged Electrically Particles Inside a Closed Volume: Electrical Oscillations as Memory and Learning of System
(Springer Link, 2022)Acceso restringidoIn this paper the problem of two charged particles inside a frustum is faced through the principles of Machine Learning compacted by the criteria of Tom Mitchell. In essence, the relevant equations from the classical ...