Person:
Saquicela Galarza, Víctor Hugo

Birth Date

1975-12-15

ORCID

0000-0002-2438-9220

Scopus Author ID

36624403800

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador

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

Saquicela Galarza

First Name

Víctor Hugo

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Search Results

Now showing 1 - 10 of 38

TV program recommender using user authentication on middleware ginga
(Institute of Electrical and Electronics Engineers Inc., 2018) Crespo Crespo, Jorge Efrain; Espinoza Mejía, Jorge Mauricio; Palacio Baus, Kenneth Samuel; Saquicela Galarza, Víctor Hugo; Tello Guerrero, Marco Andres
The system proposed in this article aims to identify and recognize television users with the objective of offering personalized television programming. In this setting, the authentication and recommendation mechanisms used require to collect the necessary information in an implicit manner as much as possible, such that the leisure and entertainment objectives this broadcasting medium brings are not interrupted. The design proposed for the implementation of the interactive application uses an authentication process based on facial recognition and a recommendation algorithm based on contextual information, which is mainly implicitly captured. Experimental obtained results show that the system offers more accurate recommendations when the user exhibits a habitual behavior; e.g. watching TV programs of a same category in a specific channel and schedule.
Semantically identifying regional-indexed publications, a web-exploring approach
(IEEE, 2018) Ortiz Vivar, Jose Enrique; Sumba Toral, Francisco Xavier; Segarra Flores, Jose Luis; Saquicela Galarza, Víctor Hugo
The indexing services are an important element of researching process because they make publicly available research results and articles for the community. Furthermore, regional indices such Latindex have contributed to spreading scientific works and incentivizing research in the Latin-American context. However, the un-centralized publication approach that its member journals follow has made impossible to form a unified view of Latindex-indexed articles and its corresponding journals. This drawback has limited activities such biblio-metric studies and integration from the perspective of information systems. In this paper, a linking mechanism between journals and publications is outlined, which aims to identify explicitly whether or not an arbitrary article belongs to Latindex. The proposed approach leverages on the Linked Data principles and takes advantage of web search engines to validate its results. This proposal has successfully been evaluated on an Ecuadorian publications dataset obtaining a 0.91 f-score respect to a manually classified sample. © 2018 IEEE.
Data repository of mobile applications for people with disabilities in the area of communication and language using data mining techniques
(Institute of Electrical and Electronics Engineers Inc., 2018) Quisi Peralta, Diego Fernando; Robles Bykbaev, Vladimir Espartaco; Saquicela Galarza, Víctor Hugo; López Nores, Martín
According to National Council of Disabilities (CONADIS) currently 425877 persons live in Ecuador with some form of disability. From this group, approximately 1.32% (5,621) people present language difficulties. However, although exist several technological developments, several Ecuadorian centers of special education/rehabilitation there is a lack of adequate support tools based on Information and Communication Technologies (ICT) and intelligent systems. This situation becomes more complicated in the area of speech-language therapy due this area was historically overlooked. For these reasons, in this paper we propose a system to generate a new repository of mobile applications for people with disabilities and language and communication disorders. To achieve this a process that allows mobile applications to automatically collect and through the natural language processing and vector space models generated a degree of belonging to issue search and generate the first mobile application repository will be generated. Our proposal relies on data mining techniques and allows educators as well therapists determining the best apps to support the intervention process of patients with disabilities. To this aim we have developed metrics to compare mobile apps from Google Play Store and IOS. Our proposal was validated with an analysis performed on 6700 mobile apps and the results are encouraging.
Similarity detection among academic contents through semantic technologies and text mining
(University of Informatics Sciences, 2018) Saquicela Galarza, Víctor Hugo; Baculima Cumbe, John Fernando; Orellana Flores, Gerardo Enrique; Baculima Piedra, Nelson Xavier; Orellana Campoverde, Marcos Eugenio
Abstract View references (46) Nowadays, the information of university courses is managed by means of syllabus based systems, this is the case of Ecuadorian Higher Education Institutions (IES for its Spanish acronym). However, the syllabus structure is not normalized among all universities, since there is a wide variety of formats and data models used for each IES which naturally, affects academic processes such as the students mobility or credits validation between IES. We have addressed these issues by presenting a proposal based on semantic technologies and text mining methods whose goal is to identify similarities among academic contents. © 2018 CEUR-WS. All rights reserved.
Challenges and trends about smart big geospatial data: a position paper
(Institute of Electrical and Electronics Engineers Inc., 2018) Saquicela Galarza, Víctor Hugo; Vilches Blázquez, Luis Manuel; Tello Guerrero, Marco Andres
Currently, we are witnessing an exponential growth in the amount of data being generated and captured at multiple locations. This trend will continue over the next years. Hence, we have envisioned a scenario in which many objects will be referencing to or generating location information. Thus, the need for appropriately managing geospatial data is evident. In this paper, we present our vision for an integral Geo Linked Data platform; pointing out the current limitations and challenges in the GeoRDFization, Storage, Query Federation, and Visualization of data with an inherent spatial context.
Literature Review of Data Mining Applications in Academic Libraries
(ELSEVIER LTD, 2015-07-01) Sigüenza Guzmán, Lorena Catalina; Ávila Ordóñez, Elina María; Saquicela Galarza, Víctor Hugo
This article provides a comprehensive literature review and classification method for data mining techniques applied to academic libraries. To achieve this, forty-one practical contributions over the period 1998-2014 were identified and reviewed for their direct relevance. Each article was categorized according to the main data mining functions: clustering, association, classification, and regression; and their application in the four main library aspects: services, quality, collection, and usage behavior. Findings indicate that both collection and usage behavior analyses have received most of the research attention, especially related to collection development and usability of websites and online services respectively. Furthermore, classification and regression models are the two most commonly used data mining functions applied in library settings.Additionally, results indicate that the top 6 journals of articles published on the application of data mining techniques in academic libraries are: College and Research Libraries, Journal of Academic Librarianship, Information Processing and Management, Library Hi Tech, International Journal of Knowledge, Culture and Change Management, and The Electronic Library. Scopus is the multidisciplinary database that provides the best coverage of journal articles identified. To our knowledge, this study represents the first systematic, identifiable and comprehensive academic literature review of data mining techniques applied to academic libraries.
An automatic method for the enrichment of DICOM metadata using biomedical ontologies
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2015-08-25) Pérez Rocano, Wilson Rodrigo; La Cruz Puente Alexandra; Saquicela Galarza, Víctor Hugo; Tello Guerrero, Marco Andrés
This work is a novel contribution for enriching medical images using semantic annotations with a strategy for unifying different ontologies and instances of DICOM medical files. We present the L-MOM library (Library for Mapping of Ontological Metadata) as a tool for making an automatic mapping between instances of DICOM medical files and different medical ontologies (e.g., FMA, RadLex, MeSH). The main contributions are: i) the domain independent L-MOM library which is able to integrate DICOM metadata with ontologies from different domains; ii) a strategy to automatically annotate DICOM data with universally accepted medical ontologies, and provide values of similarity between ontologies and DICOM metadata; and iii) a framework to traverse ontological concepts that characterized clinical studies of patients registered in the framework catalog.
Building a Knowledge Graph from Historical Newspapers: A Study Case in Ecuador
(Springer, 2023) Saquicela Galarza, Víctor Hugo; Saquicela Galarza, Víctor Hugo
History shows that different events occur every day in the world. In the past, knowledge of these events could only be orally transmitted from generation to generation due to a lack of appropriate technology. Currently, vast amounts of valuable historical information rests in deteriorated historical newspapers, which result very difficult to deal with. In this work, we use text digitization, text mining, and Semantic Web technologies to generate a knowledge graph comprising events occurred in Ecuador in the XIX-XX centuries.
Building microservices for scalability and availability: step by step, from beginning to end
(Springer Nature, 2021) Avila Montalvo, Johnny Javier; Fajardo Peralta, Maria Eugenia; Saquicela Galarza, Víctor Hugo; Campoverde Llanos, Edisson Geovanny
The problem of developing an application based on microservices is gaining traction over monolithic applications. Similarly to REST-based applications, their architecture may provide benefits in tasks related to their development and deployment. In this paper, we present an approach for the development and deploy of applications based on microservices using the following resources: a microservices technology software architecture, a continuous integration framework, and an environment for the deployment of microservices with high scalability and availability.
IT governance for the University of Cuenca
(Latin American and Caribbean Consortium of Engineering Institutions, 2020) Padilla Verdugo, Wilson Rodrigo; Saquicela Galarza, Víctor Hugo
Information Technology Governance in Latin America is still in process. The University of Cuenca faces new challenges due to its institutional growth and the development of teaching and research, in which the institution as a whole does not obtain a significant contribution of information technologies. To solve this problem, the University of Cuenca proposes a Governance Model of Information Technologies based on Cobit's processes, which involve important changes in the role that technology plays in organizations, the prioritization of their strategies and governance components, the work model, governance and management structures, processes and corporate culture management.