Browsing by Title
Now showing items 21-40 of 9569
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A Hooke's law-based approach to protein folding rate
(Academic Press, 2015)Kinetics is a key aspect of the renowned protein folding problem. Here, we propose a comprehensive approach to folding kinetics where a polypeptide chain is assumed to behave as an elastic material described by the ... -
A hybrid approach based on socp and the discrete version of the sca for optimal placement and sizing dgs in ac distribution networks
(Cartagena de Indias, 2020-12-27)This paper deals with the problem of the optimal placement and sizing of distributed generators (DGs) in alternating current (AC) distribution networks by proposing a hybrid master–slave optimization procedure. In the ... -
A low noise stenography method for medical images with QR encoding of patient information
(SPIE, 2017)This paper proposes an approach to facilitate the process of individualization of patients from their medical images, without compromising the inherent confidentiality of medical data. The identification of a patient from ... -
A low-cost multi-modal medical imaging system with fringe projection profilometry and 3D freehand ultrasound
(Cartagena de Indias, 2020-01-03)The growing need to perform surgical procedures, monitoring, and intervention of greater precision have led to the development of multimodal medical imaging systems. Multimodal images are a strategy to overcome the limitations ... -
A Machine Learning Approach for Severe Maternal Morbidity Prediction at Rafael Calvo Clinic in Cartagena-Colombia
(Cartagena de Indias, 2020-05-22)There is a huge problem in public health around the world called severe maternal morbidity (SMM). It occurs during pregnancy, delivery, or puerperium. This condition establishes risk for babies and women lives since it’s ... -
A machine learning model for emotion recognition from physiological signals
(Elsevier Ltd, 2020)Emotions are affective states related to physiological responses. This study proposes a model for recognition of three emotions: amusement, sadness, and neutral from physiological signals with the purpose of developing a ... -
A machine learning model for occupancy rates and demand forecasting in the hospitality industry
(Springer Verlag, 2016)Occupancy rate forecasting is a very important step in the decision-making process of hotel planners and managers. Popular strategies as Revenue Management feature forecasting as a vital activity for dynamic pricing, and ... -
A machine learning model for triage in lean pediatric emergency departments
(Springer Verlag, 2016)High demand periods and under-staffing due to financial constraints cause Emergency Departments (EDs) to frequently exhibit over-crowding and slow response times to provide adequate patient care. In response, Lean Thinking ... -
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia)
(Cartagena de Indias, 2020-10-08)This article presents a mathematical model of the Supply chain of non-metallic mining. The model considers uncertainty scenarios in materials, elements for capacity planning in a multilevel chain and with multiple products. ... -
A Method to Rationalize the Product Portfolio in Retail Stores
(Cartagena de Indias, 2020-04-29)Retail store operations face a variety of challenges and complexities. Determining the best assortment is the main problem in the retail store. This re-search presents a practical methodology for the analysis of products ... -
A Methodology for Driving Behavior Recognition in Simulated Scenarios Using Biosignals
(Springer, 2019)The recognition of aggressive driving patterns could aid to improve driving safety and potentially reduce traffic fatalities on the roads. Driving behavior is strongly shaped by emotions and can be divided into two main ... -
A MIQP model for optimal location and sizing of dispatchable DGs in DC networks
(Cartagena de Indias, 2020-08-27)The allocation and dimensioning of distributed generators (DGs) in direct current (DC) power grids were addressed in this study by using a mixed-integer quadratic programming (MIQP) formulation. The MIQP model corresponded ... -
A mixed-integer conic formulation for optimal placement and dimensioning of DGs in DC distribution networks
(Cartagena de Indias, 2021-01-14)The problem of the optimal placement and dimensioning of constant power sources (i.e., distributed generators) in electrical direct current (DC) distribution networks has been addressed in this research from the point of ... -
A mixed-integer convex model for the optimal placement and sizing of distributed generators in power distribution networks
(Cartagena de Indias, 2021-01-11)The optimal placement and sizing of distributed generators is a classical problem in power distribution networks that is usually solved using heuristic algorithms due to its high complexity. This paper proposes a different ... -
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders
(Cartagena de Indias, 2020-08-27)This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in ... -
A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders
(Cartagena de Indias, 2020-08-27)This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in ... -
A mlpg formulation for stress analysis in bi-dimensional elastic bodies
(Cartagena de Indias, 2020-08-11)In this work, a meshfree method known as Meshless Local Petrov-Galerkin was implemented in a bidimensional linear elasticity problem. Bidimensional MLS shape functions were used in the polynomial approximation of the ... -
A model for the simulation of the chill block melt spinning (CBMS) process using OpenFOAM®
(Elsevier Masson SAS, 2020)This work shows the results of a numerical model developed to simulate the CBMS technique for the production of the Fe78Si9B13 metallic magnetic ribbons for application in electronics. The model proposes a numerical ... -
A multi-objective model for selection of projects to finance new enterprise SMEs in Colombia
(Universitat Politecnica de Catalunya, 2011)Purpose: This paper presents a multi-objective programming model for selection of projects for financing new enterprise smes in colombia with objectivity and transparency in every call. approach: the model has four social ... -
A multi-user remote academic laboratory system
(2013)This article describes the development, implementation and preliminary operation assessment of Multiuser Network Architecture to integrate a number of Remote Academic Laboratories for educational purposes on automatic ...
