5257 research outputs found
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International market selection methodology: A case study for the export of soft drinks [Metodología para la Selección de Mercados Internacionales: Un Análisis de Caso para la Exportación de Bebidas Carbonatadas]
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Prospective vision on virtual education in AntioquiaColombia: Horizon 2050 [Visión prospectiva sobre la educación virtual en Antioquia-Colombia: Horizonte 2050]
Governments are devoting significant resources to propose strategies that disseminate and exploit into prospective studies. In 2019, the Government of Antioquia (Department located in Colombia) launched a program called 'Antioquia 2050', which it is based on a long-term planning process. It is a rigorous exercise to offer projections to new politicians and their future generations. One of the axes analyzed was education. This article presents a prospective study on virtual education in the Antioquia region (Colombia). The methodology of the study consisted of a participatory and integrative series of techniques mostly used in prospective exercises (panel of experts, Delphi method, scenarios). Some interesting data collected suggested the benefits of virtual platforms, by allowing the educational system to scale up at a lower cost and with greater reach. Evidence found in this research showed that higher education in 20 years would represent a basic and/or minimal condition in Antioquia. The connectivity of the human being with technology will facilitate the incorporation of virtual learning mechanisms from everyday life in a ubiquitous way; at any time and place in their daily lives. The results of this study were shared in the 'Summit of wise men (Cumbre de visionarios)', an event that took place at the end of 2019. Additionally, the study is also part of the research project 'Adaptive learning management tool based on problems to enhance collaborative work in virtual courses at university level', co-financed by Colciencias (Proposal Call 8042018). © 2020 AISTI
A hub-based university innovation model
This article uses a conceptual approach to propose an innovation model for regional universities. It demonstrates that the traditional university encounters several obstacles that hinder its full integration into the development of its respective region and explains why currently known models cannot adapt to regions that have deficient relationships with the government and lack an entrepreneurial base. The new model is based on a structure composed of units called “innovation hubs” and incorporates social innovation, thus permitting the university to become integrated into the regional innovation ecosystems. The Magdalena University in Colombia was used as a reference in developing the model. © Universidad Alberto Hurtado, Facultad de Economía y Negocios
Non-Smooth Dynamics in Energy Market Models: A Complex Approximation from System Dynamics and Dynamical Systems Approach
This paper reports a general model that describes the supply and demand of electricity in a national market based on the system dynamics (SD) approach. From the resulting SD model, it derives piecewise smooth (non-smooth) differential equations from the nonlinear functions and feedback cycles of the corresponding stock-flow structure. Subsequently, the stability of the equilibrium points and non-smooth dynamics of the SD model are investigated using the dynamical systems theory. Filippov systems are found in the proposed SD model and non-smooth vector fields associated with generators investment decisions are accumulated. Under this combining methodology, the non-smooth dynamics of energy markets that are governed by the supply and demand laws are uncovered mathematically and deeply described. In fact, we extend our investigation results to any energy market model attached to various investment decisions, confirming the generalizability of our research. © 2013 IEEE
Work in progress: Co-creation as a method for the identification of new functionalities for the customization of students learning styles for virtual learning platforms
Currently, there are many shortcomings in educational methodologies in a specific area. Several studies have found that this deficiency is since educators implement a single learning style to a population ignoring that each individual has different cognitive strategies in terms of learning. For this reason, a research team from University of Medellin established a strategic alliance with KUEPA and its educational platform, in which the aim is to restructure that educational platform to be able to intelligently assign a specific learning style to different students that interact with it. For the selection of the best methodology to accomplish that goal, several co-creation sessions were organized with the actors involved in the research study. As a result of the sessions, a set of new functionalities were proposed to be integrated into the platform. In addition, artificial intelligence has been found to be a key element to achieve the purpose of this research study under adaptive components based on learning methodologies. © 2020 IEEE
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance
State-of-the-art solutions for flow scheduling propose the use of Multi Level Feedback Queue (MLFQ) as a mechanism to avoid the requirement of prior information (i.e. agnosticism) regarding flow sizes. This is an important aspect to achieve the performance goals of high responsiveness and high throughput that is expected in Cloud Applications (e.g. search engines, social networks, and e-commerce sites). These goals are tightly associated with the prioritization of short flows (a few KB in size), the majority for these applications rather than long flows (several MB in size). However, these applications usually cannot provide information in advance about the size of the flows. In this paper, we analyze the feasibility of providing dynamic adjustment for a MLFQ-based scheduling system in such a way that it adapts itself to the time and space variations exhibited by Data Center Network (DCN) traffic without requiring prior information about workload properties. © The author; licensee Universidad Nacional de Colombia
Performance analysis of a text processing architecture for knowledge acquisition in requirements engineering
This study is aimed to validate a text processing architecture for knowledge acquisition and analyze the performance of several populations under controlled validation studies by focusing on empirical methods. We report our experience by analyzing three case studies whose performance issues have been addressed by using a proposed natural-language-mapping model. We discuss the advantages and the disadvantages of an automated prototype for implementing such architectural model, compared with a by-hand one. We compare the cases running out on the prototype in order to identify the suitable features the software systems should have. The final goal of the validation process is describing an ongoing research work concerned with the definition of an approach to automate processes for knowledge extraction in requirements engineering. Some of achieved findings of the performance analysis are: (i) the approach can be applied to business-based technical documents regardless of the organizational process involved; (ii) the activities related to the domain understanding can be executed in a low-costs process; and (iii) empirical methods can be used in controlled validation studies for knowledge extraction approaches. © 2018 Association for Computing Machinery
Using gamification in software engineering teaching: Study case for software design
Software engineering discipline needs promoting and responding to the demands of the software industry and their challenges, centered on the diversity and short delivery times in the projects. Looking to align with such demand, software engineering teaching has evolved incorporating newel strategies for increasing student motivation in the learning process. Gamification is one of them strategies centered on games principles, as the interactivity, ludic, and enhance engagement. This strategy, compared to other teaching techniques, improve the processes of conceptual understanding and learning. In this paper we propose a method, based on gamification, to design pedagogic instruments, comprising a strategy, techniques, and materials for teaching a specific subject. The goal of method is facilitate the gameful activities design in the classroom and then increase of motivation, cooperation and teamwork in participants, in the learning process of conceptual and practical subjects. The method was validated with the topic of software design in a course of a software engineering of the Universidad de Medellín (Colombia). In this pilot we establish improvement actions and recommendations incorporated in the final game version. © Springer Nature Switzerland AG 2019
Protocolo de investigación y judicialización para el delito de ilícita explotación de yacimiento minero
La minería ilegal es un grave flagelo para la nación colombiana, rica en fuentes y recursos mineros que bien podrían ser aprovechados para el desarrollo nacional como fuente de financiamiento importante desde la economía primaria; pero se han visto aprovechados por grupos organizados al margen de la ley para financiar sus fuertes estructuras criminales. Adicionalmente, el proceso de formalización minero ha significado importantes avances en la regulación jurídica del país en estos asuntos. No obstante, la minería ilegal, por su alto impacto ambiental y sus graves consecuencias para la salud de quienes ejercen directamente la actividad, continúa siendo una preocupación importante de la cual deben ocuparse los investigadores judiciales y los entes persecutores del Estado. Este trabajo pretende servir de apoyo para este fin, ofreciendo herramientas de comprensión teórica sobre la problematización metodológica del fenómeno (minería ilegal) enfocado sobre el delito de ilícita explotación del yacimiento minero para facilitar su identificación, investigación y correcta judicialización.Magíster en Criminalística y Ciencias ForensesMaestrí
Distribución multicompartimental y fraccionamiento químico del mercurio en pozas de sedimentación de minas de aluvión abandonadas en un área aurífera del departamento del Chocó
El mercurio (Hg) es uno de los contaminantes ambientales más peligrosos que amenaza la salud de los ecosistemas acuáticos y las poblaciones humanas en muchas regiones del mundo. La minería de oro artesanal y a pequeña escala (ASGM) a menudo libera el Hg (aprox. 1400 Mg/año) principalmente en su forma elemental (Hg0), lo que conduce a la contaminación del suelo y los sistemas acuáticos adyacentes (ríos, lagos, embalses/reservorios). Por ello, pozas de extracción de oro abandonados en los antiguos sitios de minería del oro (AGMP) son particularmente susceptibles a presentar altas concentraciones de Hg en sus compartimentos ambientales. En estos sistemas, los sedimentos actúan como importantes sumideros/fuentes de Hg; pero, algunas variaciones en las condiciones químicas o físicas en ellos (por ejemplo, pH, Eh, OM, textura, Fe, S, Al) provocarán directamente cambios en la distribución, solubilidad, biodisponibilidad y toxicidad de los metales. Por ejemplo, el Hg puede biotransformarse en metilmercurio (MeHg), una poderosa neurotoxina que se bioacumula y biomagnifica en toda la red trófica. Además, se debe resaltar que en muchos países las AGMPs corresponden a lugares de pesca frecuentes para las comunidades locales. En consecuencia, es probable que las AGMPs sirvan de enlace con las poblaciones humanas que dependen directamente del consumo de pescado de las pozas como fuente primaria de proteínas, lo que también podría conducir a efectos negativos crónicos en la salud de los habitantes locales.Mercury (Hg) is one of the most dangerous pollutants that threatens the health of aquatic ecosystems and human populations in many regions around the world. Artisanal and small-scale gold mining (ASGMs) often releases Hg (approx. 1400 Mg/year) primarily in its elemental form (Hg0), which leads to contamination of the soil and adjacent aquatic systems (rivers, lakes, reservoirs/ponds). Therefore, the abandoned gold mining ponds (AGMPs) at the former gold mining sites are particularly susceptible to high concentrations of Hg in their environmental compartments. In these systems, sediments act as important sinks/sources of Hg. However, some variations in the chemical or physical conditions of the sediments (eg., pH, Eh, OM, texture, Fe, S, Al) will directly cause changes in the distribution, solubility, bioavailability and toxicity of the metals. For example, Hg can be biotransformed to methylmercury (MeHg), a powerful neurotoxin that bioaccumulates and biomagnifies throughout the trophic network. Additionally, in many countries, the AGMPs correspond to common fishing sites for local communities. Consequently, the AGMPs is likely to serve as a bond with the human populations who directly depend on the consumption of fish from the ponds as a primary source of protein, and this process also leads to chronic negative effects on the health of the local habitants.Doctor en IngenieríaDoctorad