Apolinar Figueroa
Grupo México
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Publication
Featured researches published by Apolinar Figueroa.
Science of The Total Environment | 2017
A. Pires; Jordi Morató; H. Peixoto; V. Botero; L. Zuluaga; Apolinar Figueroa
The scientific community strongly recommends the adoption of indicators for the evaluation and monitoring of progress towards sustainable development. Furthermore, international organizations consider that indicators are powerful decision-making tools. Nevertheless, the quality and reliability of the indicators depends on the application of adequate and appropriate criteria to assess them. The general objective of this study was to evaluate how indicators related to water use and management perform against a set of sustainability criteria. Our research identified 170 indicators related to water use and management. These indicators were assessed by an international panel of experts that evaluated whether they fulfil the four sustainability criteria: social, economic, environmental, and institutional. We employed an evaluation matrix that classified all indicators according to the DPSIR (Driving Forces, Pressures, States, Impacts and Responses) framework. A pilot study served to test and approve the research methodology before carrying out the full implementation. The findings of the study show that 24 indicators comply with the majority of the sustainability criteria; 59 indicators are bi-dimensional (meaning that they comply with two sustainability criteria); 86 are one-dimensional indicators (fulfilling just one of the four sustainability criteria) and one indicator do not fulfil any of the sustainability criteria.
international conference on computational science and its applications | 2015
David Camilo Corrales; Apolinar Figueroa; Agapito Ledezma; Juan Carlos Corrales
Rust is a disease that leads to considerable losses in the worldwide coffee industry. In Colombia, the disease was first reported in 1983 in the department of Caldas. Since then, it spread rapidly through all other coffee departments in the country. Recent research efforts focus on detection of disease incidence using computer science techniques such as supervised learning algorithms. However, a number of different authors demonstrate that results are not sufficiently accurate using a single classifier. Authors in the computer field propose alternatives for this problem, making use of techniques that combine classifier results. Nevertheless, the traditional approaches have a limited performance due to dataset absence. Therefore we proposed an empirical multi-classifier for coffee rust detection in Colombian crops.
international conference on computational science and its applications | 2017
Iván Darío López; Apolinar Figueroa; Juan Carlos Corrales
Water is not only vital for ecosystems, wildlife and human consumption, but also for activities such as agriculture, agro-industry, and fishing, among others. These are some of the activities that require water to be developed. However, in the same way as their water use has increased, it has also been detected an accelerated deterioration of its quality. In this sense, to have predictive knowledge about Water Quality (WQ) conditions, can provide a significant relevance to many socio-economic sectors. The premise of this paper is to predict the water quality for different uses of water (aquaculture, irrigation and human consumption) represented by several datasets. This approach is based on Support Vector Regression (SVR) technique configured with the Pearson VII Universal Kernel (PUK), and an evolutionary algorithm of Particle Swarm Optimization (PSO). Experimental results show that the proposed predictive mechanism provides an acceptable prediction accuracy on different water-use datasets. These results indicate that bio-inspired techniques improve the adaptive capacity of a prediction algorithm.
Lámpsakos | 2014
José Armando Ordóñez-Córdoba; Juan Carlos Corrales; José Luis Arciniegas; Apolinar Figueroa
Much of Economic development of south-western of Colombia is closely related to the sustainable use of natural resources. On the issue of water resources, the first step for efficient hydric resources management is the development of consensus around the necessary mechanisms for preservation of such resources, as well as around the methodological tools for supporting such processes. This paper proposes an language independent abstraction for hydrological studies. To achieve this abstraction, generic concepts are described and a unified meta-model is presented. The meta-model offers a description of the processes, variables and results that are involved in the hydrological analysis. Finally we show a pilot implementation of this system.
Sistemas & Telemática | 2014
David Camilo Corrales; Agapito Ledezma; J Q Andrés Peña; Javier Hoyos; Apolinar Figueroa; Juan Carlos Corrales
European Journal of Soil Biology | 2015
María-Cristina Ordoñez; Leopoldo Galicia; Apolinar Figueroa; Isabel Bravo; Miguel Peña
Sistemas y Telemática | 2015
Edwin Castillo; Wilmer Fernando Gonzales; Iván Darío López; Apolinar Figueroa; David Camilo Corrales; Miller Guzmán Hoyos; Juan Carlos Corrales
Scientific Research and Essays | 2014
Ang elica Mar ia Mosquera; Juan Pablo Mart inez; Apolinar Figueroa
Revista Ingenierías Universidad de Medellín | 2016
Iván Darío López; Apolinar Figueroa; Juan Carlos Corrales
Revista Ingenierías Universidad de Medellín | 2015
Diana Ruiz; Juan Pablo Martínez; Apolinar Figueroa