Person:
Cedillo Orellana, Irene Priscila

Birth Date

1980-12-09

ORCID

0000-0002-6787-0655

Scopus Author ID

55761108900

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad del Azuay, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ingeniería, Cuenca, 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

Cedillo Orellana

First Name

Irene Priscila

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Now showing 1 - 10 of 66

A data infrastructure for managing information obtained from ambient assisted living
(Institute of Electrical and Electronics Engineers Inc., 2019) Valdez Solis, Wilson Fernando; Cedillo Orellana, Irene Priscila; Trujillo Orellana, Andrea Alexandra; Orellana Cordero, Marcos Patricio
The Internet of Things (IoT) is a current paradigm which can be part of several fields of application, and Healthcare is one of the most important. Ambient Assisted Living (AAL) is an important subfield in Healthcare. Also, services demand and network requirements of IoT systems due to the increase of connected devices and data flow overcharges Cloud. Fog Computing represents a new paradigm that lightens the network. Some applications use Fog Computing in order to reduce costs and improve performance of IoT applications. Healthcare is one of them and the implementation of Fog Computing architectures inside those systems is a new trend nowadays. The importance of having a data infrastructure in this kind of IoT systems is evident because of the relevance of the data. In this paper is presented a Data Infrastructure for Managing Information Obtained from Ambient Assisted Living. The model provides the data flow starting in the data reading in the IoT devices and ending in the Cloud by crossing Fog Computing Layer. The model considers communication protocols, security features and relationship between elements which take part in an AAL system. Moreover, the model was developed using Eclipse Modeling Tool and validated in the same tool by using an instantiation of the main classes of the model.
A Systematic Literature Review on Composition of Microservices through the Use of Semantic Annotations: Solutions and Techniques
(Institute of Electrical and Electronics Engineers Inc., 2019) Chavez Zambrano, Kevin Eduardo; Cedillo Orellana, Irene Priscila; Espinoza Mejía, Jorge Mauricio; Saquicela Galarza, Víctor Hugo
The aim of semantic web is to provide meaning to data shared by a network, therefore making it readable by humans and computer applications. The objective of this is to give the information and services a well-defined meaning by tagging web content with machine processable descriptions. Within the semantic web there are annotations, which relate data and classes offering a structured data. In addition, an ontology is an essential part of the semantic web, because it provides a vocabulary of terms and includes properties between concepts. There are several proposals over semantic annotations included in primary studies, but it is necessary to condense them in a secondary study, hence this paper presents a systematic literature review about the composition of microservices through the use of semantic annotations. This allows developers to determine which techniques are the most used in the semantic web. In order to perform this secondary study, the Kitchenham's methodology was applied. After its application, 68 articles were firstly obtained, once the inclusion and exclusion criteria was applied, only 39 studies were selected, which include automatic and manual review.
Towards an architecture for electronic notifications services on the cloud: a model driven approach
(Institute of Electrical and Electronics Engineers Inc., 2019) Cedillo Orellana, Irene Priscila; García Clavijo, Edgar Andrés; Cárdenas Delgado, Juan Diego
Cloud computing technology is being adopted by organizations driven by their need to reduce operational costs, and to deliver scalable and flexible services. Solutions deployed on the cloud are a great point of interest in the commercial and governmental area for e-commerce transactions. Here, electronic invoicing applications play a key role in commercial activities, being a branch of vital importance for the business activities. In order to accomplish certain tasks (e.g., collection of overdue invoices, notifications about payment plans) technological solutions have been proposed. Then, it is important to establish architectures that support developers in creating notification solutions in order to send messages about issues of interest for organizations in a proper manner. Moreover, due to the constant changes of laws, a model driven approach can help as a flexible and maintainable option for these solutions …
Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective
(Springer, 2023) Cedillo Orellana, Irene Priscila
Within the psychological currents, several proposals on active aging have been defined, conceptualizing it as a perspective or differentiated way of aging satisfactorily. These proposals generate indicators that assess the level of physical health, psychological well-being and adequate social and spiritual adaptation. The indicators are quantified based on active ageing surveys whose are differs for each ageing proposal and collects different features of active aging such as: health, cognition, activity, affection, fitness, and satisfaction levels. This methodology is focused on rescuing the relevant factors (features) facilitating the interpretation of the data, avoiding the non-required characteristics. The methodology proposes a set of data mining techniques for different types of data that could be present in the forms of active aging, and seeking to make a concrete proposal, the features of an active aging survey are evaluated, determining a subset of features where their weights make them more relevant in data collection, and finally, this methodology is positively evaluated as a model of acceptance by geriatric psychologists. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Alternatives for Designing Augmentative and Alternative Communication Systems for People with Disabilities and Older Adults
(Springer, 2023) Cedillo Orellana, Irene Priscila
Augmentative and Alternative Communication Systems (AACS) provide a variety of forms of expression used to improve the communication skills of people with disabilities and/or older adults. These systems consist of physical or digital communicator boards that use pictograms to represent an object, a person or an action. The objective of this article is to analyze some easy-to-implement alternatives of SAACs systems, including low-cost digital resources such as websites and Apps; as well as both high devices such as virtual assistants, AI chatbots like GPT, and tangible interfaces. The research analyzes the difficulties that older adults have in activities of daily living, and a proposal is presented that allows to adapt in a dynamic and scalable way. The prototypes generated allowed us to identify some strengths and weaknesses of the possible solutions. These results provide an opportunity for technology designers to take on board the recommendations and use them to design more robust systems adapted to their environment. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Monitoring cloud services through models at runtime: a case in an ambient assisted living environment
(2022) Insfran, Emilio; Abrahao Mara, Silvia; Cedillo Orellana, Irene Priscila
Ambient Assisted Living (AAL) has become an important domain that provides software systems and services to support and improve people’s daily quality of life. Yet, it has not achieved large market penetration. Existing works suggest that this is primarily due to not sufficiently addressing the quality requirements posed by healthcare organizations. In particular, there is a lack of comprehensive frameworks that allow the assessment of the quality of AAL systems. In previous work, we introduced a method for monitoring cloud services using models at runtime (MoS@RT), which allows the monitoring requirements or the metric operationalizations of these requirements to be changed at runtime without the modification of the underlying infrastructure. The method and its supporting infrastructure have been successfully applied in the monitoring of cloud services, but further evaluation in other domains is needed. In this paper, we report a case study on the use of MoS@RT to monitor cloud services in an AAL environment aimed at supporting the elderly’s well-being. The results suggest that relevant quality attributes of AAL systems can be adequately monitored using MoS@RT and that the report generated by the monitoring infrastructure is useful for service providers and customers to help them ensure that cloud services meet the required levels of quality.
A domain-specific language for modeling IoT system architectures that support monitoring
(2022) Cedillo Orellana, Irene Priscila; Rossi, Gustavo; Moyano Dután, José Alfredo; Erazo Garzón, Lenin Xavier
The Internet of Things (IoT) is a technological paradigm involved in a diversity of domains with favorable impacts on people's daily lives and the development of industry and cities. Nowadays, one of the most critical challenges is developing software for IoT systems since the traditional Software Engineering methodologies and tools are unproductive in the face of the complex requirements resulting from the highly distributed, heterogeneous, and dynamic scenarios in which these systems operate. Model-Driven Engineering (MDE) emerges as an appropriate approach to abstract the complexity of IoT systems. However, there are no domain-specific languages (DSLs) aligned to standardized reference architectures for IoT. Furthermore, existing DSLs have an incomplete language to represent the IoT entities that may be needed at the edge, fog, and cloud layers to monitor IoT environments. Therefore, this paper proposes a domain-specific language named Monitor-IoT, which supports developers in designing multi-layer monitoring architectures for IoT systems with high abstraction, expressiveness, and flexibility. Monitor-IoT consists of a high-level visual modeling language and a metamodel aligned with the ISO/IEC 30141:2018 reference architecture. In addition, it provides a language capable of modeling architectures with a wide variety of digital entities and dataflows (synchronous and asynchronous) between them across the edge, fog, and cloud layers to support the monitoring of a diversity of IoT scenarios. The empirical evaluation of Monitor-IoT through the application of an experiment, which contemplates the use of the Technology Acceptance Model (TAM), demonstrates the intention of the participants to use this tool in the future since they consider it easy to use and useful.
Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques
(Springer Science and Business Media Deutschland GmbH, 2023) Cedillo Orellana, Irene Priscila
The present study applies fuzzy logic techniques to find an integrated ultraviolet radiation index for Cuenca-Ecuador. This index integrates information on meteorological variables and ultraviolet rays, whose data were provided by the Research Department of the Institute for Sectional Regime Studies of Ecuador (IERSE), corresponding to 2018. Analysis techniques in data mining were used to process and segment this information. Subsequently, a fuzzy logic model with the Mamdani approach was generated to obtain an integrated ultraviolet radiation index. This model combines the values of the Ultraviolet radiation A and Ultraviolet radiation B components through 49 fuzzy inference rules. The results obtained were compared with the ultraviolet radiation indices of the tropospheric model. As a result, a slightly higher fuzzy index was obtained in terms of the index score concerning the tropospheric model.
Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model
(2024) Cedillo Orellana, Irene Priscila
Health problems in older adults lead to situations where communication with peers, family and caregivers becomes challenging for seniors; therefore, it is necessary to use alternative methods to facilitate communication. In this context, Augmentative and Alternative Communication (AAC) methods are widely used to support this population segment. Moreover, with Artificial Intelligence (AI), and specifically, machine learning algorithms, AAC can be improved. Although there have been several studies in this field, it is interesting to analyze common phrases used by seniors, depending on their context (i.e., slang and everyday expressions typical of their age). This paper proposes a semantic analysis of the common phrases of older adults and their corresponding meanings through Natural Language Processing (NLP) techniques and a pre-trained language model using semantic textual similarity to represent the older adults’ phrases with their corresponding graphic images (pictograms). The results show good scores achieved in the semantic similarity between the phrases of the older adults and the definitions, so the relationship between the phrase and the pictogram has a high degree of probability.
Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys
(Springer Nature, 2023) Cedillo Orellana, Irene Priscila
In latest years, harassment or abuse through mobile devices and the Internet has been on the rise. This issue, better known as cyberbullying, is crueler and more dangerous than the traditional ways of bullying, largely due to the anonymity on social media or the Internet possibly generating consequences across the person’s lifetime. Therefore, different approaches have been developed in the search of alerting, informing, and preventing about cyberbullying situations such as the creation of regulations, issuing laws, or promoting technological approaches. This paper aims to find relevant patterns by applying clustering techniques, and to accomplish this goal, the survey titled the scale of victimization among adolescents through mobile phones and Internet (CYBVIC) has been used allowing to measure behaviors of harassment, aggression and social exclusion. The results obtained by the clustering can be used to combat this social problem, due to this analysis highlights the seven most important questions and the hidden patterns among the filled responses.