Person:
Zúñiga Prieto, Miguel Ángel

Birth Date

1972-12-15

ORCID

0000-0001-9369-1813

Scopus Author ID

56524481200

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
Universitat Politécnica de Valencia, Valencia, España

País

Ecuador

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

Profesor (T)

Last Name

Zúñiga Prieto

First Name

Miguel Ángel

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Now showing 1 - 10 of 18

Temporal analysis of 911 emergency calls through time series modeling
(Springer, 2020) Robles Granda, Pablo Dario; Tello Guerrero, Marco Andres; Solano Quinde, Lizandro Damián; Zúñiga Prieto, Miguel Ángel
We present two techniques for modeling time series of emergency events using data from 911 emergency calls in the city of Cuenca-Ecuador. We study state-of-the-art methods for time series analysis and assess the benefits and drawbacks of each one of them. In this paper, we develop an emergency model using a large dataset corresponding to the period January 1st 2015 through December 31st 2016 and test a Gaussian Process and an ARIMA model for temporal prediction purposes. We assess the performance of our approaches experimentally, comparing the standard residual error (SRE) and the execution time of both models. In addition, we include climate and holidays data as explanatory variables of the regressions aiming to improve the prediction. The results show that ARIMA model is the most suitable one for forecasting emergency events even without the support of additional variables.
Multi-GPU implementation of the horizontal diffusion method of the weather research and forecast model
(ASSOCIATION FOR COMPUTING MACHINERY INC, 2016-03-12) Solano Quinde, Lizandro Damián; Gualan Saavedra, Ronald Marcelo; Zúñiga Prieto, Miguel Ángel
The Weather Research and Forecasting (WRF), a next generation mesoscale numerical weather prediction system, has a considerable amount of work regarding GPU acceleration. However, the amount of works exploiting multi-GPU sys- tems is limited. This work constitutes an effort on using GPU computing over the WRF model and is focused on a computationally intensive portion of the WRF: the Horizontal Diffusion method. Particularly, this work presents the enhancements that enable a single-GPU based implementation to exploit the parallelism of multi-GPU systems. The performance of the multi-GPU and single-GPU based implementations are compared on a computational domain of 433x308 horizontal grid points with 35 vertical levels, and the resulting speedup of the kernel is 3.5x relative to one GPU. The experiments were carried out on a multi-core computer with two NVIDIA Tesla K40m GPUs.
Modeling 911 emergency events in Cuenca-Ecuador using geo-spatial data
(CITT 2018, 2019) Robles Granda, Pablo Dario; Tello Guerrero, Marco Andres; Zúñiga Prieto, Miguel Ángel; Solano Quinde, Lizandro Damián
We present several techniques for modeling emergency events using data from 911 emergency calls in the city of Cuenca-Ecuador. We apply three types of models. First, we use a probabilistic description of events using Gaussian kernels based on both, regular segmentation and mixture models, to represent the spatial distribution of occurrences. Second, we verify the qualitative relation of the clusters obtained with our kernel model with respect to the geo-political organization of the city. Finally, we develop an emergency model using a large dataset corresponding to the period January 1st 2015 through December 31st 2016 and test various data mining algorithms for prediction purposes. We verify the usefulness of our approach experimentally.
A systematic mapping study of specification languages in cloud services development
(Springer, 2019) Bermeo Conto, Jorge Luis; Zúñiga Prieto, Miguel Ángel; Solano Quinde, Lizandro Damián
Specification languages offer abstractions and notations that facilitate the systematic and analytical reasoning about important aspects in a specific domain problematic. In a software engineering process domain, the usage of specification languages improve the quality and delivery time of the artefacts generated during the execution of the process activities. Cloud applications, or cloud services, are service-oriented applications whose consumption is constantly growing; however, their development require support for new roles and activities. In this work we are interested in knowing how specification languages are being used by researchers and practitioners to support the development of cloud services. This work presents a systematic mapping that provides guidance to determine the current state and to characterize the specification languages that support the service life cycle activities in a cloud services development domain.
Architecture Description Language for Incremental Integration of Cloud Services Architectures
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2016-10-03) Zúñiga Prieto, Miguel Ángel
Service-oriented architecture (SOA) together with agile development practices have shown a largely favorable strategy for organizations looking for improving time-to-market and business agility. SOA is an architectural style for building software applications using coarse-grained services which are bind together through orchestration or choreography mechanisms. Agile development methods promote early and continuous increments which means that successive cloud service increments need to be integrated into an existing cloud services architecture. This paper presents an Architecture Description Language (ADL), as an extension of the SoaML language, to specify how an increment architecture will be integrated into an existing cloud services architecture. In addition, we introduce a support tool that uses this specification to automatically generate: i) the new services choreography; and ii) the deployment and needed reconfiguration scripts that change service invocations according to the integration specification. The use of this ADL is shown in the Microsoft Azure © platform using an excerpt of a reservation system for a travel operator as an illustrative example.
Automation of the incremental integration of microservices architectures
(SPRINGER HEIDELBERG, 2017-01-01) Zúñiga Prieto, Miguel Ángel
Microservices have appeared as a new architectural style that is native to the cloud. The high availability and agility of the cloud demands organizations to migrate or design microservices, promoting the building of applications as a suite of small and cohesive services that are independently developed, deployed and scaled. Current cloud development approaches do not support the incremental integration needed for microservice platforms, and the agility of getting new functionalities out to customers is consequently affected by the lack of support for the integration design and automation of the development and deployment tasks. This paper presents an approach for the incremental integration of microservices that will allow architects to specify and design microservice integration, and provide mechanisms to automatically obtain the implementation code for business logic and interoperation among microservices, along with deployment and architectural reconfiguration scripts specific to the cloud environment in which the microservice will be deployed.
Incremental integration of microservices in cloud applications
(ASSOCIATION FOR INFORMATION SYSTEMS, 2016-08-24) Zúñiga Prieto, Miguel Ángel
Microservices have recently appeared as a new architectural style that is native to the cloud. The high availability and agility of the cloud demands organizations to migrate or design microservices, promoting the building of applications as a suite of small and cohesive services (microservices) that are independently developed, deployed and scaled. Current cloud development approaches do not support the incremental integration needed for microservice platforms, and the agilityofgetting new functionalities out to customers is consequently affected by the lack of support for the integration design and automation of the development and deployment tasks. This paper presents an approach for the incremental integration of microservices that will allow developers to specify and design microservice integration, and provide mechanisms with which to automatically obtain the implementation code for business logic and interoperation among microservices along with deployment and architectural reconfiguration scripts specific to the cloud environment in which the microservice will be deployed.
Proposal of an assistant for the automation of the design and creation process of learning objects
(Institute of Electrical and Electronics Engineers Inc., 2018) Bermeo Conto, Jorge; Maldonado Mahauad, Jorge Javier; Cabrera, Boris; Zúñiga Prieto, Miguel Ángel
Learning Objects (LOs) are digital educational materials that enable the teaching and learning process to be mediated. Howev-er, their design and creation often exceeds the possibilities that a teacher has for their production. Teachers are experienced users in the educational field and have little or no experience in pro-gramming tools, so it is expected that the production of an OA can be scalable. The aim of this paper is to present an intermedi-Ate software solution that supports the systematic application and documentation of the phases proposed in the DICREVOA meth-odology for the design, analysis and implementation of OA. For this a case study with the proposed graphic editors is presented. As a result, this wizard for the automation of the design and creation process of OA will allow teachers to exploit and improve the productivity, reliability, maintainability and portability of this type of educational resource from their experience in the domain of the educational context. © 2018 IEEE.
Applying the LALA framework for the adoption of a learning analytics tool in Latin America: two case studies in Ecuador
(CEUR-WS, 2020) Zúñiga Prieto, Miguel Ángel; Ortiz, Margarita; Ulloa Amaya, Marlon Enrique; Jimenez, Alberto
Worldwide, Higher Education Institutions (HEIs) are recognizing the benefits of using Learning Analytics (LA). Thus, there is more research on the adoption of LA tools as well as works presenting different frameworks for implementing LA in HEIs, mostly in Europe. In the case of Latin America, the LALA Framework was defined, containing detailed guidelines for LA adoption that take into account policies, ethics, and development of tools in the Latin American context. However, this framework has not been applied in real scenarios. Thus, this paper presents the results obtained with the application of the LALA Framework for the development and adoption of LA tools in two Latin-American HEIs with different LA contexts. As a result, this work not only shows the feasibility of this framework to guide the adoption of LA tools but also shows that different LA context requires the execution of activities applying different approaches. This work proposes changes to improve the LALA Framework. Changes mainly related to the inclusion of adoption alternatives that allow practitioners to select the one suitable for their specific institutional context.
An overview of the LALA project
(CEUR-WS, 2020) Muñoz Merino, Paul; Delgado Kloos, Carlos; Tsai, Yi Shan; Gasevic, Dragan; Verbert, Katrien; Pérez Sanagustín, María del Mar; Hilliger, Isabel; Zúñiga Prieto, Miguel Ángel; Ortiz Rojas, Margarita; Scheihing, Eliana
The LALA project (“Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America”) is a project that aims at building capacity about the use of data in education for improving education in Latin America. This article presents a general overview of the LALA project including the LALA framework (as a set of guidelines, recommendations and patterns for enabling adoption of learning analytics), the adaptation of learning analytics tools (mainly three different tools used in Europe) and the pilots with learning analytics experiences. The results of this project could serve as an example for other institutions in the Latin American region or other under-represented regions to adopt Learning Analytics as part of their processes.