Arias Flores, Hugo Patricio
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Arias Flores, Hugo Patricio
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Quito
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hugoarias@uti.edu.ec
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57210802646

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Analysis of the Spread and Evolution of COVID-19 Mutations in Ecuador Using Open Data

2024 , Guevara Maldonado, César Byron , Dennys Coronel , Byron Salazar , Jorge Salazar , Arias Flores, Hugo Patricio

Currently, the analyses of and prediction using COVID-19-related data extracted from patient information repositories compiled by hospitals and health organizations are of paramount importance. These efforts significantly contribute to vaccine development and the formulation of contingency techniques, providing essential tools to prevent resurgence and to effectively manage the spread of the disease. In this context, the present research focuses on analyzing the biological information of the SARS-CoV-2 viral gene sequences and the clinical data of COVID-19-affected patients using publicly accessible data from Ecuador. This involves considering variables such as age, gender, and geographical location to understand the evolution of mutations and their distributions across Ecuadorian provinces. The Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology is applied for data analysis. Various data preprocessing and statistical analysis techniques are employed, including Pearson correlation, the chi-square test, and analysis of variance (ANOVA). Statistical diagrams and charts are used to facilitate a better visualization of the results. The results illuminate the genetic diversity of the virus and its correlation with clinical variables, offering a comprehensive understanding of the dynamics of COVID-19 spread in Ecuador. Critical variables influencing population vulnerability are highlighted, and the findings underscore the significance of mutation monitoring and indicate a need for global expansion of the research area.

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Value Proposal: A Participatory Brand Construction Model

2023 , Borja Galeas, Carlos , Arias Flores, Hugo Patricio

The brand is not only from the Unagotion, goes further, it is as if the consumer inner-Izara the product or service. It is searching from consistency, preubey, pursuit, trust, content, and reaching the client, and these elements are the way for the construction of the brand. The corporate image is created from a cultural internalization of management and will be reflected in the identity that will be reflected toward the whole world, and this design is born from the participation of the designer and the senior executives, who transform the ideas through the use of tools innovative The objective of this research is to generate a model that integrates the use of the business model canvas and participatory design, identifying the value proposition of the company. By using a heuristic matrix, which plasma the differentiating elements of the company, iconic elements represent them, together with the colors and typographies that together build the brand with its components: (1) morphology, (2) color, and (3) typography. The participatory design of the actors at each stage accelerates the brand construction, the results are integrated into the best corporate identity, and resistors are avoided in their adoption. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Alternatives for Designing Augmentative and Alternative Communication Systems for People with Disabilities and Older Adults

2023 , Jadán Guerrero, Janio , Arias Flores, Hugo Patricio , Cedillo P. , Chacón-Castro M.

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.

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Artificial Intelligence and Tomorrow’s Education

2021 , Cóndor-Herrera, Omar , Arias Flores, Hugo Patricio , Jadán Guerrero, Janio , Ramos Galarza, Carlos

Nowadays, there is a rapid technological progress around the world that has enabled realities long ago unimaginable. We live in a technological era that represents new possibilities and challenges for society, and for the educational models in each country [1]. Research on smart education, which has forced the educational community to rethink on new ways of learning and teaching has been developed globally. Due to the advent of artificial intelligence (AI), the educational model for both, teachers and students will change. Nevertheless, to transform educational systems, it is necessary to update and train students, educators, and administrators effectively [2]. This research aims to describe the possible applications of AI in education from: 1) the automation of administrative tasks; 2) collection and analysis of information [3] to create smart content; 3) the implementation of virtual assistants in the teaching-learning process; 4) the potential delivery of lectures by humanoid robots with AI. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Evaluating Signage Accessibility for Individuals with Visual Impairments: A Case Study in Ecuador

2024 , Arias Flores, Hugo Patricio , Valencia-Aragón, Kevin , Sandra Sanchez-Gordon , Tania Calle-Jimenez

A signage system is a visual design consisting of identification, guidance, explanation, warning, and other functions through a combination of text, graphics, and color that facilitates the orientation and movement of occupants in buildings by representing explicit information about the configuration and overall structure of the building. In this sense, well-placed signage provides information and significantly influences the search for paths in public spaces, but not all of these spaces meet the conditions of accessibility and inclusion. From this perspective, the general objective of this research is to identify, analyze, and evaluate the shortcomings of signage for individuals with visual impairments based on the requirements and legal regulations in Ecuador. The methodology was based on collecting photographs of signage located in a higher education institution. These photographs were selected in a way that they encompass the most important characteristics of informative signage. The results show that 44.44% comply with the current regulations in Ecuador, and 66.66% comply with the regulations for the inclusion of individuals with low vision. In the future, it is considered to propose a signage system that incorporates technology.

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Development of Behavior Profile of Users with Visual Impairment

2020 , Guevara Maldonado, César Byron , Arias Flores, Hugo Patricio , Varela Aldas, José , Castillo Salazar, David Ricardo , Borja M. , Fierro-Saltos W. , Rivera R. , Hidalgo-Guijarro J. , Yandún-Velasteguí M.

The interaction of the user with visual impairment with assistive technologies, and in particular with screen readers, generates a group of actions and events during their navigation. These interactions are defined as behavioral patterns, which have a sequence that occurs at specific time slot. Understanding user behavior by analyzing their interaction with applications, in addition, details the characteristics, relationships, structures and functions of the sequence of actions in a specific application domain. The objective of this document is to find activity patterns from a set of commands used by the user, combining data mining and a Bayesian model. This model calculates the probability of the functions used with the screen reader and generates a behavior profile to improve the user experience. For this study, the screen reader JAWS version 2018, the Open Journal Systems platform version 3.0.1 and a computer with Windows 10 operating system were used. During the first phase, command history used by the user by interacting with the Open Journal Systems platform were collected. The result is that the accessibility of users with visual impairment to interact with the computer and its applications has been improved by applying this model. © Springer Nature Switzerland AG 2020.

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Autonomous Learning Mediated by Digital Technology Processes in Higher Education: A Systematic Review

2020 , Fierro-Saltos W. , Sanz C. , Zangara A. , Guevara Maldonado, César Byron , Arias Flores, Hugo Patricio , Castillo Salazar, David Ricardo , Varela Aldas, José , Borja Galeas, Carlos , Rivera R. , Hidalgo-Guijarro J. , Yandún-Velasteguí M.

The concept of autonomous learning has been resignified in recent years as a result of the expansion of the different types of study. Online education in higher education institutions has become an effective option to increase and diversify opportunities for access and learning, however, high rates of dropout, reprisal and low averages still persist. academic performance. Recent research shows that the problem is accentuated because most students have difficulty self-regulating their own learning process autonomously. From this perspective, the purpose of the study was to examine and analyze, through a systematic review of the literature, on autonomous/self-regulated learning, theoretical models and determine which variables influence a learning process mediated by technology processes in the higher education. The findings indicate that: (1) autonomous learning is a synonym of self-regulation; (2) Pintrich’s self-regulatory model is the most used in digital contexts; and (3) the self-regulatory variables identified are wide and varied. © Springer Nature Switzerland AG 2020.

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Optimizing Agriculture with LoRaWAN and HCI: A Smart Approach to Sustainable Farming

2025 , Valencia-Aragón, Kevin , Zapata, Mireya , Cristopher Toapanta , Arias Flores, Hugo Patricio

Modern agriculture faces challenges including water scarcity, excessive fertilizer use, and limited connectivity in rural areas, all exacerbated by climate change. This paper presents a smart agriculture system leveraging LoRaWAN technology and human-computer interfaces (HCI) to address these issues. The proposed system integrates low-cost sensors, a LoRaWAN-based network, and a user-friendly dashboard for real-time monitoring of critical variables such as soil moisture, ambient humidity and temperature. A proof-of-concept implementation demonstrates the system’s effectiveness in optimizing water and fertilizer use while maintaining scalability for large agricultural operations. The system operates reliably within rural environments without relying on traditional internet infrastructure, offering an affordable and sustainable solution. Field tests validate the system’s performance, highlighting its potential to enhance decision-making and resource efficiency in floriculture and beyond. Future work aims to expand the system’s capabilities with additional sensors, artificial intelligence for predictive analytics, and automated control mechanisms, further supporting sustainable farming practices

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Technological Project Management Proposal for Designing a Social Robot

2023 , Zapata M. , Alvarez-Tello J. , Arias Flores, Hugo Patricio

Introduction: Social robotics is integrated into everyday activities, addressing social interactions with diverse groups of people. Therefore, the development of Autonomous Social Robot for Ecuadorian Universities (ASREU), an evolutionary social robotic platform in hardware and software that allows the exploratory research of social, technological, and energetic variables for the generation of social robotics prototypes. Method: To improve the management of the project, the structures for the development of technological projects are analyzed from the administrative management of the project, as well as the execution and technological implementation of the Results: A diagram is obtained to identify the interaction of technical, engineering and scientific working groups and the interaction with the project management, as well as a roadmap for the development of technological products defining the systems, the type of prototyping and the intellectual property protection, in addition to the circular strategy for the integration from and for society in the area of social robotics and the identification with the evolution of the prototype with the corresponding intellectual property protection for feasible results to Conclusion: Currently the development of technological projects lead mostly software developments in social robotics, when integrated with physical systems (mechanical, electrical and electronic), there is planning from traditional environments and agile environments, which need a coexistence to jump from one to another environment. Finally, guidelines and tools have been developed to facilitate the management and design of social robots, in the case of ASREU, a 6 DoF and autonomous mobile robot (AMR). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Mathematical model of intrusion detection based on sequential execution of commands applying pagerank

2020 , Guevara Maldonado, César Byron , Hidalgo, J. , Yandún, M. , Arias Flores, Hugo Patricio , Zapata-Saavedra, L. , Ramirez-Morales, I. , Aguilar-Galvez, F. , Chalco-Torres, L. , Ortiz, D.P.

Cybersecurity in networks and computer systems is a very important research area for companies and institutions around the world. Therefore, safeguarding information is a fundamental objective, because data is the most valuable asset of a person or company. Users interacting with multiple systems generate a unique behavioral pattern for each person (called digital fingerprint). This behavior is compiled with the interactions between the user and the applications, websites, communication equipment (PCs, mobile phones, tablets, etc.). In this paper the analysis of eight users with computers with a UNIX operating system, who have performed their tasks in a period of 2 years, is detailed. This data is the history of use in Shell sessions, which are sorted by date and token. With this information a mathematical model of intrusion detection based on time series behaviors is generated. To generate this model a data pre-processing is necessary, which it generates user sessions (Equation presented), where u identifies the user and m the number of sessions the user u has made. Each session (Equation presented) contains a sequence of execution of commands (Equation presented), that is (Equation presented), where n is the position in wich the C command was executed. Only 17 commands have been selected, which are the most used by each user u. In the creation of the mathematical model we apply the page Rank algorithm [1], the same that within a command execution session (Equation presented), determines which command (Equation presented) calls another command (Equation presented), and determines which command is the most executed. For this study we will perform a model with sb subsequences of two commands, (Equation presented), where the algorithm is applied and we obtain a probability of execution per command defined by (Equation presented). Finally, a profile is generated for each of the users as a signal in time series, where maximum and minimum normal behavior is obtained. If any behavior is outside those ranges, it is determined as intrusive behavior, with a detection probability value. Otherwise, it is determined that the behavior is normal and can continue executing commands in a normal way. The results obtained in this model have shown that the proposal is quite effective in the testing phase, with an accuracy rate greater than 90% and a false positive rate of less than 4%. This shows that our model is effective and adaptable to the dynamic behavior of the user. On the other hand, a variability in the execution of user commands has been found to be quite high in periods of short time, but the proposed algorithm tends to adapt quite optimally. © Springer Nature Switzerland AG 2020.

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