Mostrando ítems 1-9 de 9

Un algoritmo recursivo de reconocimiento de patrones

Puerto Cuadros, Eduard Gilberto; Aguilar Castro, Jose Lisandro (Revista Técnica de la Facultad de Ingeniería Universidad del ZuliaColombia, 2017-07-25)

En este trabajo, proponemos un algoritmo de reconocimiento de patrones basado en el funcionamiento sistemático del neocórtex humano, en procesos de reconocimiento de patrones. El algoritmo explota la idea de recursividad, ...
Analysis of the emotions in a multi-robot system in emergent contexts

Gil, Angel; Puerto Cuadros, Eduard Gilberto; Aguilar, Jose; Dapena, Eladio (Cybernetics and SystemsReino Unido, 2021-01-12)

In this paper, we propose an emotional model for robots in a multi-robot system, in order to allow emerging behaviors. The emotional model uses four universal emotions: anger, disgust, sadness, and joy, assigned to each ...
Curricula framework for a digital transformation master's in science and engineering

Vera-Contreras, M J; Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto; Vera Contreras, Milton Jesús (Journal of Physics: Conference SeriesReino Unido, 2021-06-09)

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social ...
Curricula framework for a digital transformation master’s in science and engineering

Vera Contreras, Milton Jesús; Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto (Journal of Physics: Conference SeriesReino Unido, 2021-06-09)

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social ...
Detección de modos de transporte usando datos GPS

Adarme Jaimes, Marco Antonio; Heredia-Vizcaino, Diana; Puerto Cuadros, Eduard Gilberto (Cuaderno ActivaColombia, 2017-12)

El uso de dispositivos móviles y el aprovechamiento de la tecnología GPS, permiten la implementación de sistemas para analizar el contexto y actividades típicas de transporte de un usuario, a través del análisis de los ...
Microservices backlog A genetic programming technique for identification and evaluation of microservices from user stories

Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto; Astudillo, Hernan; Gaona, Carlos (IEEE AccessEstados Unidos, 2021-08-20)

The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is ...
Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.

Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto; Astudillo, Hernán; Gaona, Carlos (IEEE Access, 2017)

The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is ...
A recursive patterns matching model for the dynamic pattern recognition problem

Puerto Cuadros, Eduard Gilberto; Aguilar, Jose; Chavez Garcia, Danilo (Applied Artificial IntelligenceReino Unido, 2018-06-04)

This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition ...
SEMGROMI—a semantic grouping algorithm to identifying microservices using semantic similarity of user stories

Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto; PEREZ GUTIERREZ, BORIS RAINIERO; Astudillo, Hernán; Gaona, Carlos (PeerJ Computer Science, 2023-05-12)

Microservices is an architectural style for service-oriented distributed computing, and is being widely adopted in several domains, including autonomous vehicles, sensor networks, IoT systems, energy systems, telecommunications ...

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Un algoritmo recursivo de reconocimiento de patrones
...
Puerto Cuadros, Eduard Gilberto | 2017-07-25

En este trabajo, proponemos un algoritmo de reconocimiento de patrones basado en el funcionamiento sistemático del neocórtex humano, en procesos de reconocimiento de patrones. El algoritmo explota la idea de recursividad, basada en la jerarquía neocortical y en la desagregación/integración del patrón en el proceso de reconocimiento. El algoritmo propuesto es probado para analizar sus capacidades de reconocimiento de patrones.

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Analysis of the emotions in a multi-robot system in emergent contexts
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Gil, Angel | 2021-01-12

In this paper, we propose an emotional model for robots in a multi-robot system, in order to allow emerging behaviors. The emotional model uses four universal emotions: anger, disgust, sadness, and joy, assigned to each robot based on the level of satisfaction of its basic needs. These four universal emotions lie on a spectrum where depending where the emotion of the robot lies, can affect its behavior and of its neighboring robots. The more negative the emotion is, the more individualistic it becomes in its decisions (anger, sadness or disgust). The more positive the robot is in its emotion, the more it will consider the group and global goals (joy). Each robot is able to recognize another robot′s emotion in the system based on their current state, using the AR2P (AR2P for its acronym in Spanish: Algoritmo Recursivo de Reconocimiento de Patrones) recognition algorithm. In this way, it can use this information of the emotions to decide with whom collaborate. Specifically, the paper addresses emotions’ influence on the behavior of the system, at the individual and collective levels, and the emotions’ effects on the emergent behaviors of the multi-robot system. The paper explores the emerging behavior in two multi-robot scenarios; nectar harvesting and object transportation. The results show that the emotions are important to the emergent behavior in a multi-robot system.

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Curricula framework for a digital transformation master's in science and engineering
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Vera-Contreras, M J | 2021-06-09

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social processes and the monitoring of machinery that using information and communication technologies. Nowadays the fourth industrial revolution technologies are the driver for this transformation and soon will be quantum computing and other physics and mathematics advances. Therefore, in this academic-scientific work, a curricular framework is proposed for a master's program in digital transformation for science and engineering; the framework follows the literature review and analysis to formulate the denomination and justification for the master's degree. The results are (i) a general three-level model as a roadmap for the specific curricular design of a master's in digital transformation for science and engineering; (ii) the recommendation that a master's program has a research focus in the two categories established by the Colombian standard (research and practitioner); (ii) finally, a political, economic, social, technological, environmental, and legal analysis justifies a master's in digital transformation for science and engineering. The research model details the phases that were carried out to characterize and identify the curriculum framework that will be the basis for formalizing the master's degree document.

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Curricula framework for a digital transformation master’s in science and engineering
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Vera Contreras, Milton Jesús | 2021-06-09

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social processes and the monitoring of machinery that using information and communication technologies. Nowadays the fourth industrial revolution technologies are the driver for this transformation and soon will be quantum computing and other physics and mathematics advances. Therefore, in this academic-scientific work, a curricular framework is proposed for a master's program in digital transformation for science and engineering; the framework follows the literature review and analysis to formulate the denomination and justification for the master's degree. The results are (i) a general three-level model as a roadmap for the specific curricular design of a master’s in digital transformation for science and engineering; (ii) the recommendation that a master's program has a research focus in the two categories established by the Colombian standard (research and practitioner); (ii) finally, a political, economic, social, technological, environmental, and legal analysis justifies a master’s in digital transformation for science and engineering. The research model details the phases that were carried out to characterize and identify the curriculum framework that will be the basis for formalizing the master's degree document.

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Detección de modos de transporte usando datos GPS
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Adarme Jaimes, Marco Antonio | 2017-12

El uso de dispositivos móviles y el aprovechamiento de la tecnología GPS, permiten la implementación de sistemas para analizar el contexto y actividades típicas de transporte de un usuario, a través del análisis de los datos de localización y sensores de aceleración. Este trabajo de investigación comprende el procesamiento de datos obtenidos vía GPS. Con este procesamiento se pretende detectar el modo de transporte de un usuario en segmentos de recorridos predefinidos. Para la clasificación de éstos, se usan perfiles de velocidad que identifican los modos de transporte en cada uno de los segmentos, mediante un sistema software en lenguaje de programación Java y la utilización de Matlab para el análisis y filtros de datos. El sistema software se desarrolla en dos componentes, el primero comprende el filtro y transformación de datos. Estos datos se representan en coordenadas decimales a coordenadas cartesianas. El segundo presenta la clasificación, para la detección de modos de transportes con las coordenadas cartesianas. También contiene el análisis de estados de movimientos cinemáticos. Las pruebas se realizan a través de un dataset tomado del proyecto GeoLife de Microsoft Asia. Los resultados obtenidos muestran una detección coherente sobre los medios de transporte que usan los diferentes usuarios. Estos usuarios se comparan a partir de perfiles de velocidad predefinidos.

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Microservices backlog A genetic programming technique for identification and evaluation of microservices from user stories
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Vera-Rivera, F. H. | 2021-08-20

The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is defined by the number of operations exposed by the microservice, the number of microservices that compose the whole application, and its complexity and dependencies. This paper describes “Microservice Backlog (MB)”, a semiautomatic model for defining and evaluating the granularity of microservice-based applications; MB uses genetic programming technique to calculate at design time the granularity of each microservice from the user stories in the “product backlog” or release planning; the genetic algorithm combined coupling, cohesion, granularity, semantic similarity, and complexity metrics to define the number of microservices, and the user stories associated with each microservice. MB decomposes the candidate microservices, allowing to analyze graphically the size of each microservice, as well as its complexity, dependencies, coupling, cohesion metrics, and the number of calls or requests between microservices. The resulting decomposition (number of microservices and their granularity) performed by MB shows less coupling, higher cohesion, less complexity, fewer user stories associated with each microservice, and fewer calls among microservices. MB was validated against three existing methods, using two state-of-the-art applications (Cargo Tracking and JPet-Store), and one real-life application (Foristom Conferences). The development team and/or architect can use metrics to identify the critical points of the system and determine at design time how the microservice-based application will be implemented.

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Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.
...
Vera-Rivera, F. H. | 2017

The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is defined by the number of operations exposed by the microservice, the number of microservices that compose the whole application, and its complexity and dependencies. This paper describes "Microservice Backlog (MB)", a semiautomatic model for defining and evaluating the granularity of microservice-based applications; MB uses genetic programming technique to calculate at design time the granularity of each microservice from the user stories in the "product backlog" or release planning; the genetic algorithm combined coupling, cohesion, granularity, semantic similarity, and complexity metrics to define the number of microservices, and the user stories associated with each microservice. MB decomposes the candidate microservices, allowing to analyze graphically the size of each microservice, as well as its complexity, dependencies, coupling, cohesion metrics, and the number of calls or requests between microservices. The resulting decomposition (number of microservices and their granularity) performed by MB shows less coupling, higher cohesion, less complexity, fewer user stories associated with each microservice, and fewer calls among microservices. MB was validated against three existing methods, using two state-of-the-art applications (Cargo Tracking and JPet-Store), and one real-life applications (Foristom Conferences). The development team and/or architect can use metrics to identify the critical points of the system and determine at design time how the microservice-based application will be implemented.

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A recursive patterns matching model for the dynamic pattern recognition problem
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Puerto Cuadros, Eduard Gilberto | 2018-06-04

This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition problem. Dynamic patterns are characterized by having properties that change in intervals of time, such as a pedestrian walking or a car running (the negation of a dynamic pattern is a static pattern). Novel contributions of this paper include: (1) Formally develop the concepts of dynamic and static pattern, (2) design a recursive pattern matching model, which exploits the idea of recursivity and time series in the recognition process, and the unbundling/integration of pattern to recognize, and (3) develop strategies of pattern matching from two major orientations: recognition of dynamic patterns oriented by characteristic, or oriented by perception. The model is instantiated in several cases, to analyze its performance.

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SEMGROMI—a semantic grouping algorithm to identifying microservices using semantic similarity of user stories
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Vera-Rivera, F. H. | 2023-05-12

Microservices is an architectural style for service-oriented distributed computing, and is being widely adopted in several domains, including autonomous vehicles, sensor networks, IoT systems, energy systems, telecommunications networks and telemedicine systems. When migrating a monolithic system to a microservices architecture, one of the key design problems is the “microservice granularity definition”, i.e., deciding how many microservices are needed and allocating computations among them. This article describes a semantic grouping algorithm (SEMGROMI), a technique that takes user stories, a well-known functional requirements specification technique, and identifies number and scope of candidate microservices using semantic similarity of the user stories’ textual description, while optimizing for low coupling, high cohesion, and high semantic similarity. Using the technique in four validation projects (two state-of-the-art projects and two industry projects), the proposed technique was compared with domain-driven design (DDD), the most frequent method used to identify microservices, and with a genetic algorithm previously proposed as part of the Microservices Backlog model. We found that SEMGROMI yields decompositions of user stories to microservices with high cohesion (from the semantic point of view) and low coupling, the complexity was reduced, also the communication between microservices and the estimated development time was decreased. Therefore, SEMGROMI is a viable option for the design and evaluation of microservices-based applications. The proposed semantic similarity-based technique (SEMGROMI) is part of the Microservices Backlog model, which allows to evaluate candidate microservices graphically and based on metrics to make design-time decisions about the architecture of the microservicesbased application.

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Repositorio Digital

Listar Inteligencia Artificial - GIA por autor "c201373dd70e4d814c3342495d100a21"

Un algoritmo recursivo de reconocimiento de patrones

Analysis of the emotions in a multi-robot system in emergent contexts

Curricula framework for a digital transformation master's in science and engineering

Curricula framework for a digital transformation master’s in science and engineering

Detección de modos de transporte usando datos GPS

Microservices backlog A genetic programming technique for identification and evaluation of microservices from user stories

Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.

A recursive patterns matching model for the dynamic pattern recognition problem

SEMGROMI—a semantic grouping algorithm to identifying microservices using semantic similarity of user stories

Envíos recientes

Un algoritmo recursivo de reconocimiento de patrones

Analysis of the emotions in a multi-robot system in emergent contexts

Curricula framework for a digital transformation master's in science and engineering

Curricula framework for a digital transformation master’s in science and engineering

Detección de modos de transporte usando datos GPS

Microservices backlog A genetic programming technique for identification and evaluation of microservices from user stories

Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.

A recursive patterns matching model for the dynamic pattern recognition problem

SEMGROMI—a semantic grouping algorithm to identifying microservices using semantic similarity of user stories

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Contactos

Listar Inteligencia Artificial - GIA por autor "c201373dd70e4d814c3342495d100a21"

Un algoritmo recursivo de reconocimiento de patrones ﻿

Analysis of the emotions in a multi-robot system in emergent contexts ﻿

Curricula framework for a digital transformation master's in science and engineering ﻿

Curricula framework for a digital transformation master’s in science and engineering ﻿

Detección de modos de transporte usando datos GPS ﻿

Microservices backlog A genetic programming technique for identification and evaluation of microservices from user stories ﻿

Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories. ﻿

A recursive patterns matching model for the dynamic pattern recognition problem ﻿

SEMGROMI—a semantic grouping algorithm to identifying microservices using semantic similarity of user stories ﻿

Envíos recientes

Un algoritmo recursivo de reconocimiento de patrones

Analysis of the emotions in a multi-robot system in emergent contexts

Curricula framework for a digital transformation master's in science and engineering

Curricula framework for a digital transformation master’s in science and engineering

Detección de modos de transporte usando datos GPS

Microservices backlog A genetic programming technique for identification and evaluation of microservices from user stories

Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.

A recursive patterns matching model for the dynamic pattern recognition problem

SEMGROMI—a semantic grouping algorithm to identifying microservices using semantic similarity of user stories

Portales Institucionales

Un algoritmo recursivo de reconocimiento de patrones

Analysis of the emotions in a multi-robot system in emergent contexts

Curricula framework for a digital transformation master's in science and engineering

Curricula framework for a digital transformation master’s in science and engineering

Detección de modos de transporte usando datos GPS

Microservices backlog A genetic programming technique for identification and evaluation of microservices from user stories

Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.

A recursive patterns matching model for the dynamic pattern recognition problem

SEMGROMI—a semantic grouping algorithm to identifying microservices using semantic similarity of user stories