Browsing by Autor "José Aguilar"

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7. Eco-conectivismo: modelando el conocimiento conectivo
(2019) Diego Mosquera; José Aguilar
Este artículo presenta una propuesta educativa llamada eco-conectivismo, la cual es una forma de abordar el paradigma pedagógico conectivista en el aula de clases. Iniciamos con una discusión acerca de la influencia de las tecnologías y el aprendizaje informal en la educación formal. A partir de allí, exploramos las limitaciones de las teorías clásicas de aprendizaje para explicar el conocimiento generado en contextos de aprendizaje no estructurados. Abordamos el paradigma conectivista como estrategia para manejar estas limitaciones teóricas, y establecemos las bases de un modelo ontológico que permita su reconocimiento. Asimismo, usamos el paradigma de ecologías de conocimiento, para caracterizar un modelo de analítica de datos que permite desplegar el paradigma conectivista a partir de las interacciones que emergen en un proceso de aprendizaje. Finalmente, explicamos los detalles de su usopara un caso de estudio llamado SaCI, que es un ambiente inteligente de aprendizaje.
7. Propuesta de un Modelo Educativo para Carreras en el Área de Ciencias de la Computación: Caso de Estudio Universidad de Los Andes
(2017) José Aguilar; Domingo Jesús Quintana Hernández; Junior Altamiranda
Este artículo propone un modelo educativo para la carrera en Ciencias de la Computación de la Universidad de Los Andes. Esta propuesta se encuadra en el marco filosófico para carreras en el área de las Tecnologías de Información de la Universidad de Los Andes. Para el desarrollo del modelo se realizó un tipo de investigación Documental, basada en la observación y reflexión sistemáticamente de la realidad académica de la Universidad de Los Andes, y en particular, del Departamento de Computación, usando para ello diferentes tipos de fuentes y mecanismos: documentos, experiencias, talleres de trabajo, entre otros. Básicamente, el modelo educativo está orientado a la formación de profesionales que respondan a las necesidades del país en Tecnologías de la Información y Comunicación (TIC), inspirándose en los perfiles definidos por e Institute of Electrical and Electronics Engineers(IEEE) y la Associationfor Computing Machinery(ACM). Para ello, se conjugan en el modelo actividades científicas, de reflexión y de desarrollo de tecnologías. Se toma en cuenta las necesidades del estudiante, proponiendo un grafo curricular flexible, adaptables a necesidades emergentes, basado en un proceso de auto-formación. Finalmente, la estructura organizacional de la carrera se inspira en la metáfora de nubes. El modelo propuesto se encuentra compuesto de tres sub modelos: el Modelo Curricular, el Modelo Didáctico y el Modelo Filosófico.
A bibliometric literature review of integrated data and model based diagnosis approaches for the industry 4.0
(Taylor & Francis, 2025) Luis Enciso-Salas; Gustavo Pérez-Zúñiga; Javier Sotomayor-Moriano; Élodie Chanthery; Edgar Hernando Sepúlveda-Oviedo; Audine Subias; Louise Travé-Massuyès; Rodrigo García; José Aguilar
International audience
A Fuzzy Cognitive Map Based on the Random Neural Model
(Springer Science+Business Media, 2001) José Aguilar
A General Adaptive Cache Coherency-Replacement Scheme for Distributed Systems
(Springer Science+Business Media, 2001) José Aguilar; Ernst L. Leiss
A processors management system for PVM
(Springer Science+Business Media, 1997) José Aguilar; Tania Jiménez
Currently, PVM constitutes a widely used software for developing parallel applications in workstation and parallel environments. In this paper we propose a processors management system for PVM which allows to assign the PVM tasks over a computers system. The Processors Management System uses two task assignment heuristics. These heuristics are based on Neural Networks and Genetic Algorithms.
A Reliability-Based Failure Management Application Using Intelligent Hybrid Systems
(Elsevier BV, 2000) José Aguilar; Mariela Cerrada; Katiuska Morillo
A Web Proxy Cache Coherency and Replacement Approach
(Springer Science+Business Media, 2001) José Aguilar; Ernst L. Leiss
ALGORITMO DE ENRUTAMIENTO DISTRIBUIDO PARA REDES INALÁMBRICAS
(2005) José Aguilar; Miguel A. Labrador
RESUMEN. En este artículo es propuesto un algoritmo distribuido de enrutamiento para redes de comunicaciones, basado en Sistemas de Hormiga. En el algoritmo propuesto, el espacio de solución del problema de optimización combinatoria dinámico será el espacio dónde las hormigas pasearán, y la probabilidad de transición y la función de actualización del feromona son definidos según la función objetivo del problema de comunicación. Nosotros probamos y comparamos nuestro algoritmo de enrutamiento contra otros esquemas de enrutamiento bien conocidos para redes inalámbricas, y mostramos como nuestra propuesta obtiene mejores rendimientos a nivel de retraso, entre otras medidas. PALABRAS CLAVE Procesamiento Inteligente Distribuido, Algoritmos de Enrutamiento, Redes Inalámbricas, Tolerantes a Fallas. ABSTRACT In this paper, a general Combinatorial Ant System-based distributed routing algorithm is presented. In the proposed algorithm, the solution space of the dynamic combinatorial optimization problem is mapped into the space where the ants will walk, and the transition probability and the pheromone update formula of the Ant System is defined according to the objective function of the communication problem. We test and compare the performance of our routing algorithm against well-known routing schemes for wireless networks, and show its superior performance in terms of throughput, delay, among other measures. KEYWORDS Distributed Intelligent Processing, Distributed Routing Algorithms, Wireless Ad Hoc Networks, Fault Tolerant Networks.
An explicit parallelism study based on thread-level speculation
(Latin American Center for Computer Studies, 2014) José Aguilar; Kahlil Campero
   Developments in parallel architectures are an important branch in computer science. The success of such architectures derives from their inherent ability to improve the program performances. However, their ability to improve the performance on programs depends on the parallelism extraction strategies, which are always limited by the logic of each sequential program. Speculation is the only known alternative to overcome these constraints and increase the parallelism. In this paper, we study the explicit speculative parallelism using a library of thread-level speculation. We present the design of this library and study different speculative models: speculation of decision structures, speculation of loops, and speculation of critical sections. Our study evaluates different cases taken from SPEC CPU 2000, allowing acceleration of about 1.8x in multicore architectures (four core) with coarse-grained multithreaded.  
Análisis de Diagnosticabilidad y Localización de Sensores en un Pozo de Extracción de Petróleo por Inyección de Gas
(2015) José Aguilar; Rubén Leal; Louise Travé-Massuyès; Edgar Camargo; Addison Ríos
Resumen: En este trabajo se propone el uso de un enfoque basado en algoritmos genéticos para obtener relaciones de redundancia de análisis para estudiar la propiedad de diagnosticabilidad en procesos petroleros, y si esta no cumple, nuestro enfoque permite estudiar el problema de localización de sensores con el fin de cumplir con ella. Las relaciones de redundancia se basan en un análisis estructural sobre un grafo bipartito. El análisis de fallas es estudiado usando una función multi-objetivo en varios algoritmos genéticos que describen los diferentes criterios que se deben tratar con el fin de llegar a la propiedad diagnosticabilidad en el sistema. Además, nuestro enfoque permite estudiar el problema de localización de sensores en los sistemas que no cumplen las propiedades de detectabilidad o aislabilidad, usando otro algoritmo genético. Abstract: In this work we propose to use an approach based on genetic algorithms to obtain analytical redundancy relations to study the diagnosability property on oil processes, and if this not fulfill, our approach allows studying the sensor placement problem in order to fulfill it. The redundancy relations are based on a structural analysis over a bipartite graph. The faults analysis is studied using a multi-objective fitness function in several genetic algorithms which describe the different constraints to be covered in order to reach the diagnosability property on the system. Additionally, our approach allows studying the sensors placement problem on systems that do not fulfill the detectability or isolability properties, using another genetic algorithm.
ARQUITECTURA DE REFERENCIA PARA INTEGRACIÓN EN EMPRESAS DE PRODUCCIÓN INDUSTRIAL BASADA EN LA INTELIGENCIA ARTIFICIAL DISTRIBUIDA
(Springer Nature, 2010) Cristina Bravo Bravo; José Aguilar; Addison Ríos Bolívar; Joseph Aguilar Martín; Francklin Rivas
The inability to repair the damaged membrane may be one of the key mechanisms underlying the severe neuronal degeneration and overall functional loss seen in in vivo spinal cord injury and traumatic axonal injury in blunt head trauma. Promoting membrane resealing following damage may therefore constitute a potential effective therapeutic intervention in treating head trauma and spinal cord injuries. In our previous studies, we have shown that the axolemma failed to reseal following transection in clinically related situations, such as low extracellular calcium and low temperature. Our current studies indicate that DMSO is capable of rendering significant improvement in guinea pig axonal membrane resealing following transection in both 0.5 mM [Ca(2+)](0) and 25 degrees C situations. This was demonstrated physiologically by monitoring membrane potential recovery and anatomically by conducting HRP-exclusion assays 60 minutes after injury. Further, we have shown that the addition of DMSO in normal Krebs' solution (2 mM [Ca(2+)](0) and 37 degrees C) resulted in a decrease in membrane repair following injury. This indicates that DMSO-mediated membrane repair is sensitive to temperature and calcium. This study suggests the role of DMSO in axonal membrane resealing in clinically relevant conditions and raises the possibility of using DMSO in combination with other more established therapies in spinal cord injury treatment.
ARQUITECTURA DE UN SISTEMA OPERATIVO WEB
(2009) José Aguilar; Edgar Ferrer; Niriaska Perozo
RESUMEN La cantidad de sistemas, servicios y aplicaciones desarrolladas para la web han crecido considerablemente, en algunos casos el soporte, por parte de los sistemas operativos existentes, a cada uno de ellos, no es el esperado. Como alternativa de solución a esta necesidad, se plantea un modelo del sistema operativo denominado SOW, el cual soporta y maneja un conjunto de servicios en un contexto heterogéneo, dinámico y adaptativo, bajo el enfoque de reconfiguración de las aplicaciones, conformado por cuatro subsistemas que llevan a cabo una serie de funciones coordinadas que permiten un uso eficiente de los recursos sobre Internet, a pesar de sus características dinámicas y de heterogeneidad. PALABRAS RELEVANTES · Sistema operativo· Objetos web· Sistema manejador de objetos web· Sistema manejador de comunidades
Automation of the Oilfield Asset via an Artificial Intelligence (AI)-Based Integrated Production Management Architecture (IPMA)
(2011) César Bravo; Luigi Saputelli; José Aguilar; Addison Ríos; Francklin Rivas; Joseph Aguilar-Martín
Abstract Integrated Asset Management (IAM) is highly complex and requires the combined effort of several disciplines and technological tools. The orchestration of disciplines, workflow tools, and available data are paramount issues in the oil and gas industry today. Resource negotiation, communication language, and decision-making protocols are minor issues that exacerbate the problem, resulting in poor and delayed decision making. This study approaches these challenges through the implementation of innovative, distributed artificial intelligence (AI)-based architecture, designed for automated production management. This architecture, known as the Integrated Production Management Architecture (IPMA), has three layers: a connectivity layer, which allows access to the process information sources; a semantic layer, which establishes an ontological framework to guarantee the process-information integrity during the data interchange process developed between the applications that belong to the Enterprise Technology Information Platform; and a management layer, which automates the production process workflows using oilfield multi-agent systems and electronic institutions. A virtual oilfield, based on a commercial-integrated production model (IPM) and history-matched data, was used to show the benefits of the proposed approach. The IPM had the following configuration: Three reservoirs, eight oil wells, one flow station, and several gathering pipelines. The IPMA's objective was to maximize asset revenue under different constraint scenarios and changing operational events. The reactive capacity of the architecture, the effective communication between the agents, and the proposed oilfield ontology were tested successfully. In this sense, the well function of the three layers of IPMA was demonstrated. This study also outlines the use of ontologies and AI techniques that are important factors in future developments of IT solutions for the oil production industry.
Autonomous Cycle of Data Analysis Tasks for Scheduling the Use of Controllable Load Appliances using Renewable Energy
(2021) José Aguilar; Juan Fernando Ospina Giraldo; Manuela Zapata; A. Jaramillo; Luis F. Zuluaga; María D. R‐Moreno
With the arrival of smart buildings with renewable energy generation capacities, new possibilities for optimizing the use of the energy network appear. In particular, this work defines a system that automatically generates hours of use of the controllable load appliances (washing machine, dishwasher, etc.) within these edifications, in such a way that the use of renewable energy is maximized. To achieve this, we are based on the hypothesis that depending on the climate, a prediction can be made of how much energy will be generated and, according to the behavior of the users, the energy demand required by these appliances. Following this hypothesis, we build an autonomous cycle of data analysis tasks composed of three tasks, two tasks for estimating the required load (demand) and the renewable energy produced (supply), coupled with a scheduling task to generate the plans of use of appliances. The results indicate that it is possible to carry out optimal scheduling of the use of appliances, but that they depend on the quality of the predictions of supply and demand.
Autonomous cycles of data analysis tasks for innovation processes in MSMEs
(Elsevier BV, 2022) Ana Gutiérrez; José Aguilar; Ana María Ortega; Edwin Montoya
Purpose The authors propose the concept of “Autonomic Cycle for innovation processes,” which defines a set of tasks of data analysis, whose objective is to improve the innovation process in micro-, small and medium-sized enterprises (MSMEs). Design/methodology/approach The authors design autonomic cycles where each data analysis task interacts with each other and has different roles: some of them must observe the innovation process, others must analyze and interpret what happens in it, and finally, others make decisions in order to improve the innovation process. Findings In this article, the authors identify three innovation sub-processes which can be applied to autonomic cycles, which allow interoperating the actors of innovation processes (data, people, things and services). These autonomic cycles define an innovation problem, specify innovation requirements, and finally, evaluate the results of the innovation process, respectively. Finally, the authors instance/apply the autonomic cycle of data analysis tasks to determine the innovation problem in the textile industry. Research limitations/implications It is necessary to implement all autonomous cycles of data analysis tasks (ACODATs) in a real scenario to verify their functionalities. Also, it is important to determine the most important knowledge models required in the ACODAT for the definition of the innovation problem. Once determined this, it is necessary to define the relevant everything mining techniques required for their implementations, such as service and process mining tasks. Practical implications ACODAT for the definition of the innovation problem is essential in a process innovation because it allows the organization to identify opportunities for improvement. Originality/value The main contributions of this work are: For an innovation process is specified its ACODATs in order to manage it. A multidimensional data model for the management of an innovation process is defined, which stores the required information of the organization and of the context. The ACODAT for the definition of the innovation problem is detailed and instanced in the textile industry. The Artificial Intelligence (AI) techniques required for the ACODAT for the innovation problem definition are specified, in order to obtain the knowledge models (prediction and diagnosis) for the management of the innovation process for MSMEs of the textile industry.
Ciclos Autónomos de Análisis de Datos basados en la Minería de Procesos para el Estudio del Comportamiento Curricular de los Estudiantes
(2021) Sónia Duarte; José Aguilar
En este trabajo se evalúa el comportamiento curricular de los estudiantes de una carrera de maestría, a través de la Minería de Procesos. Específicamente, se analiza lo relacionado a la determinación de los factores internos y externos que inciden en la prosecución de sus estudios. Para comprender el comportamiento del estudiante, se usa la metodología MIDANO, la cual ha sido usada para el desarrollo de aplicaciones de analítica de datos. En particular, se especifican los Ciclos Autonómicos de tareas de análisis de datos que permiten estudiar el abandono de la maestría durante la escolaridad o durante el desarrollo del trabajo de grado, con el fin de determinar las causas o problemas que se presentan durante la prosecución de los estudios. Se obtuvieron resultados muy alentadores sobre las causas del abandono de la maestría que descubren los ciclos autónomos.
Collective Learning in Multi-Agent Systems Based on Cultural Algorithms
(Latin American Center for Computer Studies, 2014) Juan Terán; José Aguilar; Mariela Cerrada
   This paper aims to present a learning model for coordination schemes in Multi-Agent Systems (MAS) based on Cultural Algorithms (CA). In this model, the individuals (one of the CA components) are the different conversations that may occur in any multi-agent systems, and the coordination scheme learned is at the level of the way to perform the communication protocols into the conversation. A conversation can has sub-conversations, and the sub-conversations and/or conversations are identified with a particular type of conversation associated with a certain interaction patterns. The interaction patterns use the coordination mechanisms existing in the literature. In order to simulate the proposed learning model, we develop a computational tool called CLEMAS, which has been used to apply the model to a case of study in industrial automation, related to a Faults Management System based on Agents.  
CONCEPTOS SOBRE MINERÍA WEB
(2011) José Aguilar; Junior Altamiranda
RESUMENEn este trabajo se realiza una introducción a la Minería Web. Se presenta los diferentes usos que se han hecho de ella, las perspectivas derivadas de ese uso, y los posibles avances que se pueden esperar. Previo a esto, se establece el marco teórico de donde se deriva la Minería Web, como lo es la Minería de Datos y los Sistemas de Descubrimiento de Conocimiento. Así, este articulo presenta el estado de arte en el área de Minería Web.PALABRAS CLAVESMinería Web, Minería de Datos, Internet, Descubrimiento deConocimiento
Cosmological implications of DESI DR2 BAO measurements in light of the latest ACT DR6 CMB data
(American Physical Society, 2025) C. Garcia-Quintero; H. E. Noriega; A. de Mattia; Alejandro Avilés; K. Lodha; D. Chebat; J. Rohlf; S. Nadathur; Willem Elbers; José Aguilar
We report cosmological results from the Dark Energy Spectroscopic Instrument (DESI) measurements of baryon acoustic oscillations (BAO) when combined with recent data from the Atacama Cosmology Telescope (ACT). By jointly analyzing ACT and data and applying conservative cuts to overlapping multipole ranges, we assess how different <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mrow><a:mi>P</a:mi><a:mi>l</a:mi><a:mi>a</a:mi><a:mi>n</a:mi><a:mi>c</a:mi><a:mi>k</a:mi><a:mo>+</a:mo><a:mi>ACT</a:mi></a:mrow></a:math> dataset combinations affect consistency with DESI. While ACT alone exhibits a tension with DESI exceeding <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mrow><c:mn>3</c:mn><c:mi>σ</c:mi></c:mrow></c:math> within the <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:mi mathvariant="normal">Λ</e:mi><e:mi>CDM</e:mi></e:math> model, this discrepancy is reduced when ACT is analyzed in combination with . For our baseline DESI DR2 <h:math xmlns:h="http://www.w3.org/1998/Math/MathML" display="inline"><h:mrow><h:mi>BAO</h:mi><h:mo>+</h:mo><h:mi>P</h:mi><h:mi>l</h:mi><h:mi>a</h:mi><h:mi>n</h:mi><h:mi>c</h:mi><h:mi>k</h:mi></h:mrow></h:math> <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline"><j:mrow><j:mi mathvariant="normal">P</j:mi><j:mrow><j:mi mathvariant="normal">R</j:mi><j:mn>4</j:mn><j:mo>+</j:mo><j:mi>ACT</j:mi></j:mrow></j:mrow></j:math> likelihood combination, the preference for evolving dark energy over a cosmological constant is about <n:math xmlns:n="http://www.w3.org/1998/Math/MathML" display="inline"><n:mrow><n:mn>3</n:mn><n:mi>σ</n:mi></n:mrow></n:math>, increasing to over <p:math xmlns:p="http://www.w3.org/1998/Math/MathML" display="inline"><p:mrow><p:mn>4</p:mn><p:mi>σ</p:mi></p:mrow></p:math> with the inclusion of type Ia supernova data. While the dark energy results remain quite consistent across various combinations of and ACT likelihoods with those obtained by the DESI collaboration, the constraints on neutrino mass are more sensitive, ranging from <r:math xmlns:r="http://www.w3.org/1998/Math/MathML" display="inline"><r:mrow><r:mo>∑</r:mo><r:msub><r:mrow><r:mi>m</r:mi></r:mrow><r:mrow><r:mi>ν</r:mi></r:mrow></r:msub><r:mo><</r:mo><r:mn>0.061</r:mn><r:mtext> </r:mtext><r:mtext> </r:mtext><r:mi>eV</r:mi></r:mrow></r:math> in our baseline analysis, to <t:math xmlns:t="http://www.w3.org/1998/Math/MathML" display="inline"><t:mo>∑</t:mo><t:msub><t:mi>m</t:mi><t:mi>ν</t:mi></t:msub><t:mo><</t:mo><t:mn>0.077</t:mn><t:mtext> </t:mtext><t:mtext> </t:mtext><t:mi>eV</t:mi></t:math> (95% confidence level) in the CMB likelihood combination chosen by ACT when imposing the physical prior <v:math xmlns:v="http://www.w3.org/1998/Math/MathML" display="inline"><v:mo>∑</v:mo><v:msub><v:mi>m</v:mi><v:mi>ν</v:mi></v:msub><v:mo>></v:mo><v:mn>0</v:mn><v:mtext> </v:mtext><v:mtext> </v:mtext><v:mi>eV</v:mi></v:math>.