Mostrando ítems 1-4 de 4

Evaluación de la percepción de los servicios públicos en Colombia mediante Text Mining vía Twitter

Gómez Rivera, Carlos Eduardo; Conti, Dante; Jaramillo Yepes, Juan Gullermo; Ospina Becerra, Victoria Eugenia (Universidad Politécnica de CataluñaUniversidad Autónoma de SinaloaEspaña, 2022)

En Bogotá, los prestadores de servicios básicos son: Enel, Vanti y El acueducto, grandes empresas del sector que deben caracterizarse por una operación customer centricity. Sin embargo, dado que estas compañías son las que ...
Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry

Rodríıguez Rios, Claudia Yadira; Roa Sánchez, Jorge Enrique (Emerald Publishing LimitedInglaterra, 2021-10)

The main contribution of the research is to propose a quantitative model based on indicators designed by the authors, to measure the effect on the performance of the process caused by an improvement in the integration of ...
Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC

Abellán García, Joaquín; DSánchez Díaz, Jairo A.; Ospina Becerra, Victoria Eugenia (Taylor & FrancisReino Unido, 2021)

Ultra-high-performance fibre reinforced concrete (UHPFRC) is an advanced construction material that provides new opportunities in the future of the construction industry around the world. Among those new applications, ...
Smart Territories Competitiveness Based on Data Usage

Del Toro Osorio, Fabiola; Estévez, Elsa; Ospina Becerra, Victoria Eugenia (ACM Digital LibraryBelo Horizonte (Brazil), 2023)

Competitiveness is one of the important goals that economies are trying to achieve. Some experts associate competitiveness with stability and growth, and as such governments are designing solutions to increase competitiveness ...

Envíos recientes

Evaluación de la percepción de los servicios públicos en Colombia mediante Text Mining vía Twitter
...
Gómez Rivera, Carlos Eduardo | 2022

En Bogotá, los prestadores de servicios básicos son: Enel, Vanti y El acueducto, grandes empresas del sector que deben caracterizarse por una operación customer centricity. Sin embargo, dado que estas compañías son las que mayor cantidad de quejas y reclamos presentan ante los entes regulatorios, la percepción del servicio puede no ser la mejor. Determinar la veracidad de esto, es el objetivo de la presente investigación, a través de la explotación de técnicas de minería de texto aprovechando la voz de cliente en los tuits de los usuarios; aplicando la metodología Knowledge Discovery in Databases, para generar la base de datos compuesta por 9071 tuits de las tres empresas. En la fase de limpieza de datos, se establecen pasos adicionales para refinar dicha base y consolidar los tuits de interés para la investigación. Lo anterior, permite obtener una explotación de los datos explicando los resultados a través de nubes de palabras, diagramas de frecuencia, análisis de sentimientos y los ratios entre la polaridad de los tuits. Los resultados permiten inferir que, para la ventana de tiempo en el cual se realiza el análisis, la percepción del servicio no es buena y que existen oportunidades de mejora para las tres compañías.

LEER
Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry
...
Rodríıguez Rios, Claudia Yadira | 2021-10

The main contribution of the research is to propose a quantitative model based on indicators designed by the authors, to measure the effect on the performance of the process caused by an improvement in the integration of information.

LEER
Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC
...
Abellán García, Joaquín | 2021

Ultra-high-performance fibre reinforced concrete (UHPFRC) is an advanced construction material that provides new opportunities in the future of the construction industry around the world. Among those new applications, rehabilitation, and seismic retrofitting of existing damaged or non-ductile concrete structures can be highlighted. The main objective of this paper is to optimise the hybrid blend of fibres that allows a previously optimised eco-friendly ultra-high performance cementitious paste to achieve the ductility requirements for seismic retrofitting applications at lower costs. To meet this goal, two artificial neural network models (ANNs) were created to predict the energy absorption capacity (g) and maximum post-cracking strain (epc). A total of 50 own experimental campaign data added to 550 published works throughout the world data were used for training purposes by using the R-code language. Once the models were trained and validated, a multi-objective optimisation was used to select the combination of fibres that achieved the limit values of g 50kJ/m3 and epc 0.3% considering cost constraints. The experimentally validated results indicated that the adequate blend of high strength steel micro-fibres and hooked end normal strength steel fibres fulfil the threshold values at a lower cost.

LEER
Smart Territories Competitiveness Based on Data Usage
...
Del Toro Osorio, Fabiola | 2023

Competitiveness is one of the important goals that economies are trying to achieve. Some experts associate competitiveness with stability and growth, and as such governments are designing solutions to increase competitiveness to improve the quality of life in their communities. To contribute to this goal, we are currently researching how data can be used to increase competitiveness of Smart Territories. This paper presents the progress of our ongoing research that aims to answer the following question: Which artifacts drive the competitiveness of smart territories? This question will help us to answer the overall research question: How to obtain the greatest value from data to contribute to the competitiveness of smart territories?

LEER

‹›

Repositorio Digital

Listar 2 - Investigación por autor "Ospina Becerra, Victoria Eugenia"

Evaluación de la percepción de los servicios públicos en Colombia mediante Text Mining vía Twitter

Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry

Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC

Smart Territories Competitiveness Based on Data Usage

Envíos recientes

Evaluación de la percepción de los servicios públicos en Colombia mediante Text Mining vía Twitter

Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry

Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC

Smart Territories Competitiveness Based on Data Usage

Listar 2 - Investigación por autor "Ospina Becerra, Victoria Eugenia"

Evaluación de la percepción de los servicios públicos en Colombia mediante Text Mining vía Twitter ﻿

Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry ﻿

Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC ﻿

Smart Territories Competitiveness Based on Data Usage ﻿

Envíos recientes

Evaluación de la percepción de los servicios públicos en Colombia mediante Text Mining vía Twitter

Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry

Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC

Smart Territories Competitiveness Based on Data Usage

Evaluación de la percepción de los servicios públicos en Colombia mediante Text Mining vía Twitter

Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry

Neural network-based optimization of fibres for seismic retrofitting applications of UHPFRC

Smart Territories Competitiveness Based on Data Usage