Perspectives Scientific Journal
type: channel
description: Perspectivas is a technical-scientific journal from Escuela Superior Politécnica de Chimborazo, which is focused on disseminating original written works in the fields of scientific development and engineering applications. The journal has a double-blind review and arbitration policy to ensure the quality of the published articles. Distinguished internal and external researchers are part of the reviewers of Perspectivas specializing in the journal's interest areas.
publisher: Escuela Superior Politécnica de Chimborazo
language: en
publication name: Perspectives Scientific Journal
issn: 1390-7204
copyright: Copyright The authors of the manuscripts will retain their copyright on their articles published in Pespectivas Journal. These rights allow the authors to present their manuscripts in public, prepare derivative works, reproduce them physically by printing and distribute them on their social or research networks. These rights will remain unchanged as long as the authors respect the publication and free access policy of Perspectivas Journal. Publication Rights Perspectivas Journal reserves all first publication rights on each of the articles that the authors have sent to its review and publication process. It implies that authors will only exercise their copyright if they state the source and origin of the publication correctly, mainly when they distribute, share, present, or use their articles' total or partial content.
items: Experimental Validation of a Three-Phase Voltage-Source Inverter with SPWM Modulation for Low-Voltage Microgrid-Oriented Applications
items: Variability of the Voltage Stability Margin under Load Uncertainty in the IEEE 14-Bus System
items: Generation of Virtual Environments Using a Mobile Terrestrial Robot
items: Academic English Reading Comprehension in Mechanical Engineering Students: Active Learning with a Mobile Application Assisted by Artificial Intelligence
items: Building knowledge graphs to speed up queries on genomic information
items: Mobile SDN-Based Drone Network for Real-Time Video Streaming in Aerial Surveillance
items: Micro-grid analysis to meet general service demand on the South UPS campus
items: From Detection to Conversation: Evolution of a Culturally Competent Emotional Support Chatbot
items: Quality Verification in User Stories: A Systematic Mapping
items: Radiation phase control system for a WIFI and BLUETOOTH antenna array using phase shifters
items: Sign Language Recognition for Electrical Device Control
items: The Human Capital of the Software Industry in San Francisco de Campeche
items: Methodology for Measuring the Real-Time Transfer Function of Dynamic Systems in Operation
items: Proposal for the Analysis of Color Perception Using Eye-tracking
items: A Framework for Citizen Science Projects
items: Experimentation in Software Engineering: Pair Programming Case Study
items: Emotional Health Analysis using Artificial Intelligence
items: Model for objective evaluation of interfaces by analyzing visual attention patterns obtained with eye-tracking
items: Seismic-Resistant Design at the Border between Nariño (9Aa–8Av) and Esmeraldas (Zone VI)
items: Software Corrective Maintenance Strategies: A Case Study of the Community Organization CACTU
items: Machine Learning Algorithms for Predictive Maintenance: A Systematic Literature Mapping
items: Enhancing Logic-Driven Learning: Applying GUESS-18 for User Experience Evaluation
items: Behavioral Analysis of COVID-19 Medical Data using Artificial Intelligence
items: Data analysis for efficient schedule optimization and Machine Learning
items: Implementation of a controller for an inverted pendulum type robot
items: Traceability matrix in requirements gathering: a systematic review of the literature
items: State of research in biodiversity collection management systems: A systematic mapping of the literature
items: Towards an API Governance Model, Systematic Mapping of the Literature
items: Music Playback by Plasma Generation with FIR Filter Implementation in Matlab
items: Transmission of ASCII code messages using a high power (50mW) underwater laser communication prototype in two controlled scenarios

Experimental Validation of a Three-Phase Voltage-Source Inverter with SPWM Modulation for Low-Voltage Microgrid-Oriented Applications
type: item
description: This work presents the design, implementation, and experimental validation of an open-loop three-phase inverter prototype. The experimental campaign was carried out with a regulated 48 V DC bus, while the bus-monitoring circuit was dimensioned for a wider voltage range. Control was implemented on an STM32 using digital SPWM, with a 120° phase shift and an adjustable output frequency between 60 and 80 Hz. To reduce the risk of cross-conduction in the MOSFETs, dead-time insertion was configured in both hardware and firmware. Tests with resistive loads verified three-phase operation in star and delta configurations, with balanced line voltages under laboratory conditions. The efficiency close to 92% corresponds to the tested low-load condition. Characterization at higher power levels and harmonic-distortion measurements are proposed as the next validation stage.
subject: Artículos arbitrados
  topic: section
subject: Dead-time
  topic: keywords
subject: Energy Efficiency
  topic: keywords
subject: MOSFET
  topic: keywords
subject: SPWM Modulation
  topic: keywords
subject: Three-phase Inverter
  topic: keywords
subject: Electronic Engineering
  topic: disciplines
subject: Power Electronics
  topic: disciplines
subject: Electronics and Automation
  topic: disciplines
creator: Mario Michael Fuela Uvidia
creator: Kevin Steven Barrionuevo Lara
creator: Carlos Alejandro Jara Toaza
creator: Wilian Patricio Guaman Cuenca
rights: Copyright (c) 2026 Mario Fuela Uvidia, Kevin Barrionuevo Lara, Carlos Jara Toaza, Wilian Guaman Cuenca https://creativecommons.org/licenses/by/4.0
date: 2026-07-30
publication date: 2026-07-30
doi: 10.47187/perspectivas.8.2.265

Variability of the Voltage Stability Margin under Load Uncertainty in the IEEE 14-Bus System
type: item
description: This article analyzes the variability of the estimated voltage stability margin under load uncertainty in the IEEE 14-bus system. For this purpose, Monte Carlo scenarios were generated using random factors applied to active and reactive power demands, and power flows were solved using the Newton-Raphson method. In each scenario, λmax was estimated through feasibility assessment and bisection refinement within a defined interval; discrete P-V curves were also generated to identify the critical bus and analyze the evolution of the minimum voltage at PQ buses. The results show that load uncertainty produces noticeable variations in the estimated margin, although a significant portion of the scenarios reaches the upper limit of the exploration interval. Therefore, these cases are interpreted as censored scenarios and not as exact collapse points. The relationship between total active load and λmax showed an inverse trend, indicating a reduction in the margin associated with higher demand levels. In addition, criticality was mainly concentrated at buses 5 and 14, while the representative P-V curves made it possible to link the statistical dispersion with the electrical response of the system. The proposed approach enables the voltage stability margin to be characterized from a probabilistic and reproducible perspective.
subject: Artículos arbitrados
  topic: section
subject: Uncertainty Analysis
  topic: keywords
subject: Voltage Stability
  topic: keywords
subject: Power Flow
  topic: keywords
subject: Monte Carlo Method
  topic: keywords
subject: Electric Power Systems
  topic: keywords
subject: Electricity
  topic: disciplines
subject: Power Systems
  topic: disciplines
creator: Rubén Darío Tirida Chulde
creator: Edgar Javier Cajas Oña
creator: Manuel David Rodríguez Santillán
creator: Bryan José Delgado Posligua
rights: Copyright (c) 2026 Rubén Tirida Chulde, Edgar Cajas Oña, Manuel Rodríguez Santillán, Bryan Delgado Posligua https://creativecommons.org/licenses/by/4.0
date: 2026-07-30
publication date: 2026-07-30
doi: 10.47187/perspectivas.8.2.264

Generation of Virtual Environments Using a Mobile Terrestrial Robot
type: item
description: This work addresses the generation of virtual environments based on data obtained by a mobile ground robot. The system uses a Raspberry Pi equipped with an 8-megapixel V2 camera and an MPU6050 inertial sensor (IMU) to record the route and environmental conditions. With this information, a processing methodology is proposed that allows the terrain traveled to be virtually reconstructed, showing changes recorded by the accelerometer and camera in real time. In addition, it proposes the creation of a custom database to facilitate the preparation and training of the system for future routes.
subject: Artículos arbitrados
  topic: section
subject: Virtual Environments
  topic: keywords
subject: Mobile Terrestrial Robot
  topic: keywords
subject: Terrain Reconstruction
  topic: keywords
subject: Computer Vision
  topic: keywords
subject: Software
  topic: disciplines
subject: Computer Vision
  topic: disciplines
creator: Fiona Danaé Reynaga Díaz
creator: Juan Carlos Cruz Armas
creator: Dante Castelán Carpinteyro
creator: Daniel Isay López del Castillo
creator: María del Carmen Santiago Díaz
creator: Ana Claudia Zenteno Vázquez
creator: María Catalina Rivera Morales
creator: Gustavo Trinidad Rubín Linares
rights: Copyright (c) 2026 Fiona Reynaga Díaz, Juan Cruz Armas, Dante Castelán Carpinteyro, Daniel López del Castillo, María Santiago Díaz, Ana Zenteno Vázquez, María Rivera Morales, Gustavo Rubín Linares https://creativecommons.org/licenses/by/4.0
date: 2026-07-30
publication date: 2026-07-30
doi: 10.47187/perspectivas.8.2.262

Academic English Reading Comprehension in Mechanical Engineering Students: Active Learning with a Mobile Application Assisted by Artificial Intelligence
type: item
description: Reading comprehension of academic texts in English represents a significant challenge for Mechanical Engineering students, restricting access to specialized technical knowledge. This study aimed to develop and evaluate a mobile application based on active learning strategies to enhance academic reading comprehension among students of the Faculty of Mechanical Engineering at ESPOCH. The application was developed following the Scrum agile methodology in collaboration with the RITESP and GRIISOFT research groups, integrating pedagogical approaches for English for Specific Purposes (ESP) and software engineering standards. The evaluation assessed the application's technical quality using the ISO/IEC 25010 standard, focusing on usability, functionality, and efficiency, while its educational impact was measured through reading comprehension indicators and user-based evaluations. The results demonstrated improvements in academic reading comprehension and high user acceptance, contributing to the achievement of Sustainable Development Goal 4 (Quality Education).
subject: Artículos arbitrados
  topic: section
subject: SCRUM
  topic: keywords
subject: Reading comprehension
  topic: keywords
subject: mobile application
  topic: keywords
subject: quality
  topic: keywords
subject: Software Engineering
  topic: disciplines
creator: José Luis Guamán Guamán
creator: Gladys Lorena Aguirre Sailema
creator: Patricia Pilar Moyota Amaguaya
creator: Ivan Menes Canejo
rights: Copyright (c) 2026 José Guamán Guamán, Lorena Aguirre Sailema, Patricia Moyota Amaguaya, Ivan Menes Canejo https://creativecommons.org/licenses/by/4.0
date: 2026-07-30
publication date: 2026-07-30
doi: 10.47187/perspectivas.8.2.259

Building knowledge graphs to speed up queries on genomic information
type: item
description: This article provides an overview of the main formats used to store genomic information, as well as the process of building knowledge graphs from such data. The information extracted from data in the repository of the National Center for Biotechnology Information is processed and structured in the form of knowledge graphs, allowing complex queries to be performed using the SPARQL language. Representing genomic information in a format suitable for semantic querying and inference facilitates the identification of complex relationships between genes, proteins, and metabolites. This, in turn, supports the discovery of new bioactive compounds and promotes advances in fields such as medicine and biotechnology. Finally, it is demonstrated how both simple and compound queries in SPARQL can be applied to retrieve explicit and inferred relationships among the triples that make up the knowledge graphs, thus improving the depth and efficiency of genomic analysis.
subject: Artículos arbitrados
  topic: section
subject: Genomic information
  topic: keywords
subject: Knowledge graphs
  topic: keywords
subject: SPARQL query language
  topic: keywords
subject: Bioinformatics
  topic: keywords
subject: Technologies of Information
  topic: disciplines
creator: Reynold Osuna González
creator: Guillermo De Ita Luna
rights: Copyright (c) 2026 Reynold Osuna González, Guillermo De Ita Luna https://creativecommons.org/licenses/by/4.0
date: 2026-01-28
publication date: 2026-01-28
starting page: 24
ending page: 32
doi: 10.47187/perspectivas.8.1.250

Mobile SDN-Based Drone Network for Real-Time Video Streaming in Aerial Surveillance
type: item
description: This paper presents and evaluates a drone network based on Software-Defined Networking (SDN) for real-time video transmission aimed at aerial surveillance. The architecture uses a wired backbone of access points (APs) managed by the Ryu controller, employing the Spanning Tree Protocol (STP) to prevent loops, while the drones act as wireless nodes that transmit real-time video to a base station simulating the control center. The simulation integrates CoppeliaSim and Mininet-WiFi through a socket server, and video streaming is generated using VLC. Scalability is studied by increasing the number of drones from three to seven, analyzing metrics such as: effective throughput, which increases from 2.75 to 7.21 Mbit/s; average bandwidth, which remains between 6.93 and 7.99 Mbit/s; jitter, which stays below 1 ms; and round-trip time (RTT), which ranges from 8.53 to 8.99 ms, while packet loss increases from 21.34% to 24.43%. When comparing different propagation model exponents for three drones, RTT increases from 12.57 ms (exponent 2) to 18.53 ms (exponent 4), while throughput remains around 2.75–2.76 Mbit/s and packet loss between 31% and 32%. Overall, the architecture scales adequately up to five drones and shows moderate congestion with seven. As future work, it is proposed to extend the architecture to networks with multiple SDN controllers and to study drone-specific routing protocols for video transmission, incorporating the analysis of Quality of Experience (QoE), Quality of Service (QoS), and energy consumption.
subject: Artículos arbitrados
  topic: section
subject: Software Defined Networking
  topic: keywords
subject: Unmanned Aerial Vehicle
  topic: keywords
subject: Real-Time Video Streaming
  topic: keywords
subject: Aerial Surveillance
  topic: keywords
subject: Spanning Tree Protocol
  topic: keywords
subject: Throughput
  topic: keywords
subject: Jitter
  topic: keywords
subject: Packet Loss
  topic: keywords
subject: Handover
  topic: keywords
subject: Telecommunications
  topic: disciplines
subject: Communications
  topic: disciplines
creator: Anthonny Flores
creator: Sebastian Ruiz
rights: Copyright (c) 2026 Anthonny Flores, Sebastián Ruiz https://creativecommons.org/licenses/by/4.0
date: 2026-01-28
publication date: 2026-01-28
starting page: 10
ending page: 23
doi: 10.47187/perspectivas.8.1.249

Micro-grid analysis to meet general service demand on the South UPS campus
type: item
description: This paper presents the analysis of a photovoltaic microgrid to supply general services on the South Campus of the Salesian Polytechnic University. The mathematical model employed makes it possible to estimate the power generated by the source and the costs of grid energy under real demand conditions, achieving techno-economic optimization. Using HOMER Pro software, different scenarios integrating solar generation, energy storage systems, and inverters are simulated, allowing their performance to be compared in both grid-connected and standalone modes. It was determined that the geographical location of the campus offers optimal irradiance levels of 4.03 (kWh/m²/day), which favors the system’s energy generation. The simulation results demonstrate the potential of microgrids to reduce dependence on the conventional electrical system. It was identified that the off-grid mode is more efficient, as it represents a 34.82% reduction in operating costs and a 9.92% return on investment over the next 6.94 years.
subject: Artículos arbitrados
  topic: section
subject: Microgrid (MG)
  topic: keywords
subject: Cost of Energy (COE)
  topic: keywords
subject: Power grid
  topic: keywords
subject: HOMER Pro
  topic: keywords
subject: Energy Optimization
  topic: keywords
subject: Electric
  topic: disciplines
subject: Sustainable energies
  topic: disciplines
creator: Luis Andrés Acosta Sánchez
creator: Katherine Silvana Flores Almeida
creator: Esteban Fernando Delgado Piedra
creator: Edwin Marcelo García Torres
rights: Copyright (c) 2026 Luis Acosta Sánchez, Katherine Flores Almeida, Esteban Delgado Piedra, Marcelo García Torres https://creativecommons.org/licenses/by/4.0
date: 2026-01-28
publication date: 2026-01-28
starting page: 1
ending page: 9
doi: 10.47187/perspectivas.8.1.248

From Detection to Conversation: Evolution of a Culturally Competent Emotional Support Chatbot
type: item
description: This paper presents the evolution of PsicoloBot, an emotional support chatbot developed with cultural competence for the Spanish-speaking population of Mexico. The study was conducted in two phases. In the first phase, a rule-based lexical detection algorithm was implemented, achieving an accuracy of 82% in emotion classification; however, it exhibited notable limitations in contextual understanding and dialogue quality. To ensure cultural adaptation, this phase required an extensive process of idiom mining from social media sources and data extraction, transformation, and loading (ETL). In the second phase, a hybrid architecture is proposed that integrates a Large Language Model (LLM), such as Google’s Gemini, to enhance contextual awareness. This architecture combines the efficiency and precision of the lexical engine with the generative capabilities of artificial intelligence, enabling interactions that more closely simulate empathetic and culturally relevant dialogue.
subject: Artículos arbitrados
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Emotional Health
  topic: keywords
subject: Chatbot
  topic: keywords
subject: LLM
  topic: keywords
subject: Cultural Adaptation
  topic: keywords
subject: Hybrid Model
  topic: keywords
subject: Technologies of Information
  topic: disciplines
subject: Software Engineering
  topic: disciplines
creator: Yan Josue Tepancal Martinez
creator: María del Carmen Santiago Díaz
creator: Ana Claudia Zenteno Vázquez
creator: Gustavo Trinidad Rubín Linares
rights: Copyright (c) 2026 Yan Tepancal Martinez, María Santiago Díaz, Ana Zenteno Vázquez, Gustavo Rubín Linares https://creativecommons.org/licenses/by/4.0
date: 2026-01-28
publication date: 2026-01-28
starting page: 44
ending page: 53
doi: 10.47187/perspectivas.8.1.252

Quality Verification in User Stories: A Systematic Mapping
type: item
description: Agile development has established user stories as a fundamental practice for requirements elicitation, leading to increasing academic interest in assessing their quality. This paper presents a systematic mapping study aimed at identifying the quality criteria applied in user story verification, examining their temporal evolution, geographical distribution, and underlying conceptual frameworks. Established methodological guidelines for systematic mapping studies and systematic literature reviews were followed during the study selection process. A total of 58 primary studies published between 2004 and 2024 were analyzed. The INVEST and QUS frameworks emerged as the most frequently referenced, with unambiguity identified as the most commonly cited quality criterion, although it is not the sole aspect that should be considered. Furthermore, the results reveal a concentration of research efforts in technologically advanced countries and a significant increase in publications in 2024. These findings confirm a sustained growth in scholarly interest in the verification of user story quality.
subject: Artículos arbitrados
  topic: section
subject: Quality Criteria
  topic: keywords
subject: User Stories
  topic: keywords
subject: Software Engineering
  topic: keywords
subject: Systematic Mapping
  topic: keywords
subject: Technologies of Information
  topic: disciplines
subject: Software Engineering
  topic: disciplines
creator: Leonardo Espinosa Arévalo
creator: Antonio Armando Aguileta Güemez
creator: Raúl Antonio Aguilar Vera
rights: Copyright (c) 2026 Leonardo Espinosa Arévalo, Antonio Aguileta Güemez, Raúl Antonio Aguilar Vera https://creativecommons.org/licenses/by/4.0
date: 2026-01-28
publication date: 2026-01-28
starting page: 33
ending page: 43
doi: 10.47187/perspectivas.8.1.251

Radiation phase control system for a WIFI and BLUETOOTH antenna array using phase shifters
type: item
description: This article presents a system for controlling the angle of sound and rapidly changing the radiation patterns of WiFi and Bluetooth antennas by modifying the phase shift in a patch antenna array. The system incorporates a phase shifting process to achieve beamforming, which improves signal strength in desired locations and reduces noise in undesired areas. This involves designing patch antennas with precise measurements, installing a control unit to adjust the phase shift, and testing their operation in both real and simulated environments. Measurements were made in a circular pattern, covering a 180- degree area with 30 points, at 6-degree intervals, in an anechoic chamber. A voltage of 3 V was used to determine the phase shift between measurements without a phase shifter. The results showed that without a phase shifter, a minimum value of -25.25 dB was found, while with the different voltages, a value of -25.29 dB was obtained at 3 V, indicating an approximate phase shift of 12 degrees compared to measurements without a phase shifter. The data show significant changes in signal coverage, power utilization, and an improvement in system performance. The findings highlight the potential of this approach for use in smart homes, IoT devices, and other wireless communication systems that require flexible radiation patterns.
subject: Artículos arbitrados
  topic: section
subject: adaptive radiation patterns
  topic: keywords
subject: Patch antenna beamforming
  topic: keywords
subject: Phase shift control
  topic: keywords
subject: Wireless signal coverage
  topic: keywords
subject: IoT and smart home communications
  topic: keywords
subject: Telecommunications
  topic: disciplines
creator: Maria Cristina Diaz Gonzalez
creator: Ana Janeth Ortega Uzhca
creator: Dayana Mishell Pilco Maigua
creator: José Enrique Samaniego Campoverde
creator: Ronny Toctaquiza
rights: Copyright (c) 2026 María Diaz, Ana Ortega, Dayana Pilco, José Samaniego, Ronny Toctaquiza https://creativecommons.org/licenses/by/4.0
date: 2026-07-30
publication date: 2026-07-30
doi: 10.47187/perspectivas.8.2.246

Sign Language Recognition for Electrical Device Control
type: item
description: This research paper presents the implementation of a dactylographic sign language recognition system using artificial intelligence applied to control electrical devices. The system aims to enhance interaction between humans and electrical devices, particularly for individuals with hearing impairments, by providing a natural and intuitive method for interaction. The system utilizes computer vision techniques to recognize hand gestures in dactylographic sign language, and a microcontroller-based circuit controls the electrical devices. The system performance was evaluated in terms of accuracy, response time, and usability, yielding promising results for future applications in industry and medicine.
subject: Artículos arbitrados
  topic: section
subject: Dactylographic Sign Language Recognition
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Artificial Vision
  topic: keywords
subject: Microcontroller-Based Circuit
  topic: keywords
subject: Electrical Devices
  topic: keywords
subject: Wireless Communication
  topic: keywords
subject: Remote Control
  topic: keywords
subject: Engineering
  topic: disciplines
subject: Software
  topic: disciplines
subject: Electronics
  topic: disciplines
creator: Jefferson Alexander Ribadeneira Ramírez
creator: Robert Rodríguez Loaiza
creator: Kevin Edgardo Saavedra Delgado
creator: Ana Lucía Logroño Noboa
rights: Copyright (c) 2025 Jefferson Ramírez, Robert Rodríguez Loaiza, Kevin Saavedra, Ana Logroño https://creativecommons.org/licenses/by/4.0
date: 2025-07-07
publication date: 2025-07-07
doi: 10.47187/perspectivas.7.2.244

The Human Capital of the Software Industry in San Francisco de Campeche
type: item
description: Human resource management is essential in the software industry, as human capital represents its main asset. This study aims to identify the key characteristics of human capital in this industry in San Francisco de Campeche, focusing on hiring criteria, labor structure, and educational composition. The methodology involves a digitalized instrument hosted on the Software Industry Observatory web portal, distributed among software development companies with a fiscal address in the city. The results presented in this publication focus on human capital indicators, revealing a combination of dependent employees, freelancers, apprentices, and temporary workers, indicating labor flexibility and commitment. Extensive academic education is predominant, highlighting the importance of training in the sector. Turnover rates vary across companies, reflecting different levels of job stability. Companies value soft skills such as responsibility, teamwork, and problem-solving.
subject: Artículos arbitrados
  topic: section
subject: Human Capital
  topic: keywords
subject: Software
  topic: keywords
subject: Industry
  topic: keywords
subject: Management
  topic: keywords
subject: Software Development
  topic: disciplines
creator: Diana Concepción Mex Álvarez
creator: Luz María Hernández Cruz
creator: Margarita Castillo Téllez
creator: Charlotte Monserrat Llanes Chiquini
creator: Yaqueline Pech Huh
creator: José Luis Lira Turriza
rights: Copyright (c) 2025 Diana Concepción Mex Álvarez, Luz María Hernández Cruz, Margarita Castillo Téllez, Charlotte Monserrat Llanes Chiquini, Yaqueline Pech Huh, José Luis Lira Turriza https://creativecommons.org/licenses/by/4.0
date: 2025-05-30
publication date: 2025-05-30
starting page: 58
ending page: 64
doi: 10.47187/perspectivas.7.1.242

Methodology for Measuring the Real-Time Transfer Function of Dynamic Systems in Operation
type: item
description: This paper presents a robust methodology to measure the transfer function of a dynamic system in operation by applying a delta signal as input. The impulse response of the systems is analyzed in the Laplace domain, thus allowing us to obtain key information about their behavior, stability, and performance. A comparative approach is proposed between the nominal transfer function and its measurement to detect faults or deficiencies, evaluating metrics such as gain margin and phase. In addition, a frequency domain analysis is used to identify alterations in the system dynamics. This methodology is useful for diagnosing and maintaining control systems, improving their reliability and robustness against operational variations and structural failures of the system.
subject: Artículos arbitrados
  topic: section
subject: Transfer Function
  topic: keywords
subject: Dynamic Systems
  topic: keywords
subject: Delta Signal
  topic: keywords
subject: Impulse Response
  topic: keywords
subject: Frequency Analysis
  topic: keywords
subject: System Stability
  topic: keywords
subject: Fault Diagnosis
  topic: keywords
subject: Robust Control
  topic: keywords
subject: System Identification
  topic: keywords
subject: Disturbances
  topic: keywords
subject: Control Systems
  topic: disciplines
creator: Carlos García Díaz
creator: María del Carmen Santiago Díaz
creator: Ana Claudia Zenteno Vázquez
creator: Judith Pérez Marcial
creator: Raúl Antonio Aguilar Vera
creator: Gustavo Trinidad Rubín Linares
rights: Copyright (c) 2025 Carlos García Díaz, María del Carmen Santiago Díaz, Ana Claudia Zenteno Vázquez, Judith Pérez Marcial, Raúl Antonio Aguilar Vera, Gustavo Trinidad Rubín Linares https://creativecommons.org/licenses/by/4.0
date: 2025-05-30
publication date: 2025-05-30
starting page: 65
ending page: 71
doi: 10.47187/perspectivas.7.1.241

Proposal for the Analysis of Color Perception Using Eye-tracking
type: item
description: This study investigates potential differences in color perception between men and women. Eye-tracking technology, specifically the Tobii Pro Nano, was employed alongside experimental software developed to assess color discrimination. Preliminary tests conducted with male and female students revealed distinct visual attention patterns. These initial findings suggest gender-based differences in color perception that could impact UX and decision-making processes. Further research with larger sample sizes and refined methodologies is necessary to validate these results.
subject: Artículos arbitrados
  topic: section
subject: Color perception
  topic: keywords
subject: Eye-tracking
  topic: keywords
subject: Gender differences
  topic: keywords
subject: Visual attention
  topic: keywords
subject: Colorimetry
  topic: keywords
subject: Experimental software
  topic: keywords
subject: Interface design
  topic: keywords
subject: Tobii Pro Nano
  topic: keywords
subject: Color models
  topic: keywords
subject: Marketing
  topic: disciplines
creator: María Fernanda Barrón Álvarez
creator: Ángel Eduardo Villegas Ortíz
creator: Francisco Javier Álvarez Rodríguez
rights: Copyright (c) 2025 María Fernanda Barrón Álvarez, Ángel Eduardo Villegas Ortíz, Francisco Javier Álvarez Rodríguez https://creativecommons.org/licenses/by/4.0
date: 2025-07-07
publication date: 2025-07-07
doi: 10.47187/perspectivas.7.2.240

A Framework for Citizen Science Projects
type: item
description: Citizen science, also known as public participation in scientific research and knowledge production, is gaining more and more recognition when proposing citizen science projects. However, concerns about data quality and processes of this type of projects are highlighted. To mitigate these problems, it is proposed to standardize good practices, emphasizing ensuring data quality in all phases of the life cycle. The main contribution of this work is to identify which are the best practices related to citizen science projects and, to investigate how these practices can be enriched with others related to data quality management and governance. As a result, MAR.CI.CI has been proposed, a framework to help institutions propose and execute their citizen science projects.
subject: Artículos arbitrados
  topic: section
subject: Citizen science projects
  topic: keywords
subject: Citizen science data
  topic: keywords
subject: Public Projects
  topic: disciplines
creator: Cesar Guerra García
creator: Marco Tulio Ramírez Torres
creator: Héctor Pérez González
creator: Lizeth López López
rights: Copyright (c) 2025 Cesar Guerra García, Marco Tulio Ramírez Torres, Héctor Pérez González, Lizeth López López https://creativecommons.org/licenses/by/4.0
date: 2025-05-30
publication date: 2025-05-30
starting page: 72
ending page: 80
doi: 10.47187/perspectivas.7.1.239

Experimentation in Software Engineering: Pair Programming Case Study
type: item
description: Due to the benefits of pair programming in software development, such as increased production of quality code and knowledge transfer within a development team, this practice has captured the interest of educators in Software Engineering as an effective strategy for developing key skills in students. To evaluate its effectiveness as a teaching method, a study was conducted with Software Engineering students, applying programming-related activities. When comparing the results in terms of grades and code quality, both individually and in pairs, and after applying statistical tests, it was concluded that pair programming improves students' overall performance. The results showed that grades and code quality in pairs were higher on average, confirming that this practice is an effective and beneficial teaching method.
subject: Artículos arbitrados
  topic: section
subject: Pair programming
  topic: keywords
subject: Programming
  topic: keywords
subject: Code quality
  topic: keywords
subject: Software
  topic: disciplines
subject: Informatics Sistems
  topic: disciplines
creator: José Julian Ventura Uscanga
creator: Patricia Martínez Moreno
creator: Luis Antonio Morales Velásquez
creator: Antonio Vergara Camacho
rights: Copyright (c) 2025 José Julian Ventura Uscanga, Patricia Martínez Moreno, Luis Antonio Morales Velásquez, Antonio Vergara Camacho https://creativecommons.org/licenses/by/4.0
date: 2025-05-30
publication date: 2025-05-30
starting page: 81
ending page: 87
doi: 10.47187/perspectivas.7.1.238

Emotional Health Analysis using Artificial Intelligence
type: item
description: Anxiety is a natural stress response, but anxiety disorders are conditions where this response becomes excessive and persistent, affecting daily life. Common types include generalized anxiety disorder, panic disorder, obsessive-compulsive disorder, and phobias. Genetic, environmental, and biological factors may contribute to its development. Symptoms include restlessness, fatigue, concentration, and sleep problems. This paper presents the results obtained and treated using artificial intelligence tools and techniques for the automatic identification of the state of anxiety and its correlation to stress levels and human emotional health.
subject: Artículos arbitrados
  topic: section
subject: Anxiety Disorder
  topic: keywords
subject: Obsessive-Compulsive Disorder
  topic: keywords
subject: Post-Traumatic Stress Disorder
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Human Healthy
  topic: disciplines
subject: Artificial Intelligence
  topic: disciplines
creator: Erika Morales Portillo
creator: María del Carmen Santiago Díaz
creator: Ana Claudia Zenteno Vázquez
creator: Judith Pérez Marcial
creator: Abraham Sánchez López
creator: Gustavo Trinidad Rubín Linares
rights: Copyright (c) 2025 Erika Morales Portillo, María del Carmen Santiago Díaz, Ana Claudia Zenteno Vásquez, Judith Pérez Marcial, Abraham Sánchez López, Gustavo Trinidad Rubín Linares https://creativecommons.org/licenses/by/4.0
date: 2025-07-07
publication date: 2025-07-07
doi: 10.47187/perspectivas.7.2.237

Model for objective evaluation of interfaces by analyzing visual attention patterns obtained with eye-tracking
type: item
description: With current interface design and evaluation tools, it is tough to objectively estimate usability information. Technologies such as eye-tracking extend the approaches to obtain data on visual attention impartially. However, obtaining biometric information through eye-tracking does not necessarily indicate the quality and quantity of information obtained when evaluating an interface. Therefore, in this work, we establish a model to relate the abstractions of the visual attention processes that are deployed when using an interface and the interpretations of the quantitative values ​​provided by the biometric data obtained by eye-tracking.
subject: Artículos arbitrados
  topic: section
subject: UI Design
  topic: keywords
subject: UI Testing
  topic: keywords
subject: Interface Pattern Design
  topic: keywords
subject: Visual attention
  topic: keywords
subject: Eye-tracking
  topic: keywords
subject: Marketing
  topic: disciplines
subject: Software
  topic: disciplines
creator: Ángel Eduardo Villegas Ortíz
creator: Francisco Javier Álvarez Rodríguez
creator: Eduardo Emmanuel Rodríguez López
rights: Copyright (c) 2025 Ángel Eduardo Villegas Ortíz, Francisco Álvarez Rodríguez, Eduardo Rodríguez López https://creativecommons.org/licenses/by/4.0
date: 2025-05-30
publication date: 2025-05-30
starting page: 88
ending page: 97
doi: 10.47187/perspectivas.7.1.236

Seismic-Resistant Design at the Border between Nariño (9Aa–8Av) and Esmeraldas (Zone VI)
type: item
description: This research proposes to investigate the seismic threat on the Esmeraldas-Ecuador and Nariño-Colombia border under the construction regulations NEC-15 and NSR-10, respectively, considering a building with similar characteristics deployed in the study areas. Aspects of earthquake-resistant design will be addressed, including seismic characterization, materials, loads, modeling, structural design, and reinforcement details. The regulations will be thoroughly evaluated, comparing relevant technical requirements and structural behavior under earthquakes. Total construction costs in both countries will also be analyzed to determine the economic efficiency of each regulation. The study aims to offer a clear understanding of the essential considerations when designing structures in border areas, where soil and seismic activity are similar. It is anticipated that the findings will reveal improvements in construction regulations and determine the most effective regulation in terms of investment and safety.
subject: Artículos arbitrados
  topic: section
subject: - Sismic Threat, Ecuador-Colombia, Border Comparison, NEC-15, NSR-10, Esmeraldas-Nariño, Earthquake-Resistant Construction.
  topic: keywords
subject: Civil Engineering
  topic: disciplines
creator: Iñaki Moisés Cisneros Córdova
creator: María Belén Correa Vallejo
creator: Luis Alejandro Machado Salazar
rights: Copyright (c) 2025 Iñaki Moisés Cisneros Córdova, María Belén Correa Vallejo, Luis Alejandro Machado Salazar https://creativecommons.org/licenses/by/4.0
date: 2025-07-07
publication date: 2025-07-07
doi: 10.47187/perspectivas.7.2.228

Software Corrective Maintenance Strategies: A Case Study of the Community Organization CACTU
type: item
description: The CACTU system (Corporación de Asociaciones Comunitarias de Cotopaxi y Tungurahua), designed to manage correspondence between affiliated children and their foreign sponsors, presented critical operational problems. Key problem areas were identified to resolve this situation, and technical solutions were implemented through corrective maintenance based on the Agile MANTEMA methodology. Subsequently, system reliability was evaluated according to ISO/IEC 25010 using JMeter, Enlightn and R tools. The results of the Mann-Whitney U test revealed significant improvements in mean times between failures before and after maintenance. In particular, system reliability increased substantially, from 34.38% to 88.80%, significantly improving system maturity, availability, fault tolerance and resilience.
subject: Artículos arbitrados
  topic: section
subject: Maintenance
  topic: keywords
subject: Agile Mantema Methodology
  topic: keywords
subject: Reliability
  topic: keywords
subject: Correspondence
  topic: keywords
subject: Software Engineering
  topic: disciplines
subject: Software Maintenance
  topic: disciplines
creator: Pablo Guerra Fiallos
creator: José López Ríos
creator: Diego Ávila Pesantez
creator: Angel Mena Reinoso
creator: Miriam Avila
rights: Copyright (c) 2024 Pablo Guerra Fiallos, José López Ríos, Diego Ávila Pesantez, Angel Mena Reinoso, Miriam Avila https://creativecommons.org/licenses/by/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 48
ending page: 57
doi: 10.47187/perspectivas.7.1.230

Machine Learning Algorithms for Predictive Maintenance: A Systematic Literature Mapping
type: item
description: Predictive maintenance is a practice that industrial companies can apply to their processes thanks to technologies such as artificial intelligence and the Internet of Things. Machine Learning algorithms are used in many fields to make predictions or classifications. Predictive maintenance is an area of research that provides new practices, strategies, or methodologies. As a relatively new field, the methodologies are still scattered and there is little information on the maturity of the algorithms. To provide a solid foundation, a systematic literature review is presented to give engineers and researchers an overview of machine learning algorithms used in predictive maintenance. The results obtained show some growth in recent years, demonstrating the interest in this area of research. However, most of the contributions in this field can be summarized as concept proofs and it is still difficult to obtain a prototype that can be validated as a complete and certified system. This paper describes the main machine learning algorithms used in predictive maintenance according to their type of use and supervision, analyses their input and output parameters, and determines their maturity.
subject: Artículos arbitrados
  topic: section
subject: Machine Learning
  topic: keywords
subject: predictive maintenance
  topic: keywords
subject: systematic literature mapping
  topic: keywords
subject: PdM
  topic: keywords
subject: Electronics
  topic: disciplines
subject: Automation
  topic: disciplines
creator: Jorge Paredes Carrillo
creator: Carlos Romero Barreno
rights: Copyright (c) 2024 Jorge Luis Paredes Carrillo, Carlos Romero Barreno https://creativecommons.org/licenses/by/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 31
ending page: 47
doi: 10.47187/perspectivas.7.1.227

Enhancing Logic-Driven Learning: Applying GUESS-18 for User Experience Evaluation
type: item
description: This article details a study that examines the user experience in a software engineering educational game through the Game User Experience Satisfaction Scale (GUESS-18). It involved 111 computer engineering students who played a game designed to improve their software skills via interactive tasks. The GUESS-18 helped measure the game's impact on user satisfaction, showing notable gains in students' problem-solving abilities and engagement. The study also highlights the potential of GUESS-18 as a valuable metric for educational contexts, indicating its broader utility beyond just entertainment. The positive findings suggest new directions for incorporating user experience tools into educational software, with the goal of enhancing the quality of educational technology in the field of computer engineering.
subject: Artículos arbitrados
  topic: section
subject: GUESS-18
  topic: keywords
subject: User Experience
  topic: keywords
subject: Educational Gaming
  topic: keywords
subject: Software Engineering Education
  topic: keywords
subject: Interactive Learning
  topic: keywords
subject: Game Design
  topic: keywords
subject: Computing
  topic: disciplines
creator: David Bonilla Carranza
creator: Adriana Peña Pérez Negrón
creator: Mirna Muñoz
rights: Copyright (c) 2024 David Bonilla Carranza, Adriana Peña Pérez Negrón, Mirna Muñoz https://creativecommons.org/licenses/by/4.0
date: 2024-05-14
publication date: 2024-05-14
doi: 10.47187/perspectivas.6.2.225

Behavioral Analysis of COVID-19 Medical Data using Artificial Intelligence
type: item
description: The COVID-19 pandemic has generated a global health crisis, and having tools that allow the disease to be efficiently managed is of vital importance. In this context, artificial intelligence offers a unique opportunity to analyze large volumes of medical data and obtain valuable information that can contribute to medical decision-making and improve management of the pandemic. In this work, artificial intelligence techniques are applied to model the results obtained from COVID-19 databases in Mexico.
subject: Artículos arbitrados
  topic: section
subject: COVID-19
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Multiple Choice
  topic: keywords
subject: Decision Tree
  topic: keywords
subject: Computing
  topic: disciplines
creator: Roberto Carlos Hernández Aparicio
creator: María del Carmen Santiago Díaz
creator: Ana Claudia Zenteno Vázquez
creator: Judith Pérez Marcial
creator: Gustavo Trinidad Rubín Linares
rights: Copyright (c) 2024 Roberto Carlos Hernández Aparicio, María del Carmen Santiago Díaz, Ana Claudia Zenteno Vázquez, Judith Pérez Marcial, Gustavo Trinidad Rubín Linares https://creativecommons.org/licenses/by/4.0
date: 2024-05-14
publication date: 2024-05-14
doi: 10.47187/perspectivas.6.2.224

Data analysis for efficient schedule optimization and Machine Learning
type: item
description: In recent years, the integration of machine learning (ML) techniques into school management systems offers several opportunities to enhance efficiency and decision-making in the educational field. Applying ML in education can yield significant benefits. However, it is important to note that the successful integration of ML techniques into school management systems requires a robust data infrastructure, proper data collection, and consideration of ethical and privacy issues. Furthermore, ML should not replace human interaction in education but rather complement and improve it by providing educators and students with additional tools for educational success. Due to the increased complexity in the curriculum of the Computer Systems Engineering program, it is necessary to carry out a more reliable and automated prediction of semester schedules. To address the manual scheduling generation problem, a comprehensive analysis of the existing process was conducted. This involved gathering relevant information on how semester schedules are currently generated in the educational institution. The current approach used for scheduling was studied, along with an analysis of the problems and limitations associated with the manual process. Various ML techniques that could be applied to the scheduling generation problem were investigated. This could include optimization algorithms, clustering or classification algorithms, genetic algorithms, or other machine learning approaches that can be adapted to the specific problem.
subject: Artículos arbitrados
  topic: section
subject: Machine learning
  topic: keywords
subject: automation
  topic: keywords
subject: scheduling
  topic: keywords
subject: Computing
  topic: disciplines
subject: Machine Learning
  topic: disciplines
creator: Rogelio Escobedo Mitre
creator: Ángeles Quezada Cisnero
creator: Bogart Yair Marquez Lobato
creator: Arnulfo Alanis Garza
rights: Copyright (c) 2024 Rogelio Escobedo Mitre, Ángeles Quezada Cisnero, Bogart Yair Marquez Lobato, Arnulfo Alanis Garza https://creativecommons.org/licenses/by/4.0
date: 2024-05-14
publication date: 2024-05-14
doi: 10.47187/perspectivas.6.2.223

Implementation of a controller for an inverted pendulum type robot
type: item
description: In indoor mobile robotics, wheeled robots stand out due to their simpler mechanics and lower maintenance requirements compared to legged articulated robots. This work describes the phases for implementing control software for an inverted pendulum robot using the Linear Quadratic Regulator (LQR) algorithm. The software architecture can be decomposed into large abstraction blocks, combining embedded software libraries and software components developed specifically for the project. Most inverted pendulum projects use a PID control, primarily due to the simplicity of its implementation. This method is functional but lacks scalability, consumes time, and, although some implementations exhibit excellent disturbance rejection, there is no guarantee of stability if any robot parameter changes. The developed prototype could serve as an experimental foundation for future research in mobile robotics or automatic control.
subject: Artículos arbitrados
  topic: section
subject: Inverted pendulum
  topic: keywords
subject: control software
  topic: keywords
subject: LQR
  topic: keywords
subject: Computing
  topic: disciplines
creator: Josepablo Cruz Baas
creator: Jorge Ríos Martínez
creator: Ernesto Olguín Díaz
creator: Francisco Moo Mena
rights: Copyright (c) 2024 Josepablo Cruz Baas, Jorge Ríos Martínez, Ernesto Olguín Díaz, Francisco Moo Mena https://creativecommons.org/licenses/by/4.0
date: 2024-05-14
publication date: 2024-05-14
doi: 10.47187/perspectivas.6.2.222

Traceability matrix in requirements gathering: a systematic review of the literature
type: item
description: The lack of a standardized traceability matrix has several disadvantages for the software development process. First, without a standardized traceability matrix, it is difficult to ensure the quality and integrity of the requirements. According to [5], the traceability of requirements is necessary to ensure that these requirements are complete, consistent and not redundant. Without a standardized traceability matrix, developers may lose sight of the original requirements and make changes that are not justified or that are not in line with the goals of change management in the project. According to [6], the traceability of requirements is essential to manage change in a project, as it allows developers to identify which requirements are affected by a change and how they are related to other requirements. Without a standardized traceability matrix, changes can be difficult to manage and can have a negative impact on the project as a whole. The Systematic Literature Review (SLR) is carried out, the different proposals of authors or companies on the Requirements Traceability Matrix (RTM) are analyzed and the weaknesses and strengths of each one are identified. All of these in order to propose a unified RTM based on the most common elements used by the RTM analyzed, which is composed of strengths that contribute to the quality and integrity of the requirements.
subject: Artículos arbitrados
  topic: section
subject: software requirements
  topic: keywords
subject: traceability matrix
  topic: keywords
subject: software traceability
  topic: keywords
subject: Computing
  topic: disciplines
subject: Software Engineering
  topic: disciplines
creator: Enrique Alexandre Kattz Villa
creator: Patricia Martínez Moreno
creator: José Antonio Vergara Camacho
creator: Luis Antonio Morales Velázquez
rights: Copyright (c) 2024 Enrique Alexandre Kattz Villa, Patricia Martínez Moreno, José Antonio Vergara Camacho, Luis Antonio Morales Velázquez https://creativecommons.org/licenses/by/4.0
date: 2024-05-14
publication date: 2024-05-14
doi: 10.47187/perspectivas.6.2.221

State of research in biodiversity collection management systems: A systematic mapping of the literature
type: item
description: Biodiversity collections allow making decisions for the preservation of an ecosystem since they have a relationship between the increase or decrease in species population linked to the erosion of their habitat. Therefore, the growth of these collections has driven the need to migrate towards biodiversity management systems that follow the life cycle established by Software Engineering. It is crucial to have up-to-date knowledge about the state of the art in biodiversity collection management systems, understanding the strategies implemented along with the benefits for academic research. This motivates the future implementation of systems, providing a foundation for the elements to consider in their construction. For this reason, a systematic literature mapping was carried out based on the Kitchenham guide, addressing the characteristics and efforts in this field.The findings reveal: (i) The development of biodiversity collection management systems is experiencing significant growth nationally, with universities starting to implement them in their herbaria. (ii) The predominant technology used is PHP in the Laravel framework, mainly due to its built-in functions that facilitate the development of applications with limited resources. (iii) The most used standards are the International Code of Botanical Nomenclature and the Darwin Core. (iv) Biodiversity collection management systems offer substantial benefits by maintaining consistency and accessibility of data, thus facilitating decision- making for biodiversity preservation. (v) Quality attributes of interest include accessibility, ease of learning, adequate recognition, real-time performance, and interoperability that can support the definition of non-functional requirements during system development. (vi) Biodiversity collection management systems at the local level show a higher frequency of development in the botanical domain compared to the zoological, primarily due to the ease of collection. These findings pro…
subject: Artículos arbitrados
  topic: section
subject: management systems
  topic: keywords
subject: biodiversity collection
  topic: keywords
subject: biodiversity databases
  topic: keywords
subject: systematic literature mapping
  topic: keywords
subject: narrative synthesis
  topic: keywords
subject: Computing
  topic: disciplines
subject: information systems
  topic: disciplines
creator: Karina Valdés-Iglesias
creator: Jorge Octavio Ocharán-Hernández
creator: Juan Carlos Pérez-Arriaga
creator: Christian Alejandro Delfín-Alfonso
rights: Copyright (c) 2024 Karina Valdés-Iglesias, Jorge Octavio Ocharán-Hernández, Juan Carlos Pérez-Arriaga, Christian Alejandro Delfín-Alfonso https://creativecommons.org/licenses/by/4.0
date: 2024-05-14
publication date: 2024-05-14
doi: 10.47187/perspectivas.6.2.220

Towards an API Governance Model, Systematic Mapping of the Literature
type: item
description: Digital startups are driving a profound transformation that permeates large organizations, synergies that allow them to maintain their position in modern markets. To fully understand this cycle of change, it is imperative to consider the role of Application Programming Interfaces (APIs), which enable transformation through innovative business models. In finance, it is an undeniable fact that Fintechs are actively using APIs to drive digital business. However, large banks face new and challenging obstacles to generate new value in collaboration with these innovative digital partners, or to acquire new capabilities individually through the strategic implementation of APIs. In this context, a systematic mapping of the literature is presented with the aim of showing a broad and structured view on the current state of knowledge related to API governance in the financial sector framed in a research project for this sector and specifically for banking collections. From the study it was concluded that APIs are indispensable in today's ecosystems, they allow consumers, officials, third-party developers, Fintech, retailers and other components such as algorithms, data, processes and functionalities to communicate, therefore, businesses need to be redesigned to define rules that allow them to compete and expand their margins, without APIs it is not possible to embrace the digital world.
subject: Artículos arbitrados
  topic: section
subject: APIs
  topic: keywords
subject: Digital Transformation
  topic: keywords
subject: Fintech
  topic: keywords
subject: Informática
  topic: disciplines
creator: Elizabeth Suescún Monsalve
creator: Marta Tabares Betancur
creator: Liliana González Palacio
creator: Mariana Vásquez Escobar
rights: Copyright (c) 2024 Elizabeth Suescún Monsalve, Marta Tabares Betancur, Liliana González Palacio, Mariana Vásquez Escobar https://creativecommons.org/licenses/by/4.0
date: 2024-05-14
publication date: 2024-05-14
doi: 10.47187/perspectivas.6.2.219

Music Playback by Plasma Generation with FIR Filter Implementation in Matlab
type: item
description: The Tesla coil was invented by Nikola Tesla in the late nineteenth century and produces electrical discharges in the form of high-voltage arcs, unlike the musical Tesla coil, which focuses on the generation of musical sounds through controlled electrical discharges. To create an audio reproduction device by using a physical phenomenon, it is necessary to create a device capable of emitting audio through the modulation of an electrical discharge launched into the air, which mainly consists of two coils. This element is commonly known as Plasma Speaker or Musical Tesla Coil. It was also considered adding an audio amplifier so that the sound has greater intensity, and a virtual bandpass filter designed in Matlab software to record the behavior of the musical Tesla coil to the different frequencies of the musical tones.
subject: Artículos arbitrados
  topic: section
subject: Music
  topic: keywords
subject: Plasma
  topic: keywords
subject: Signal Analysis
  topic: keywords
subject: Signal Processing
  topic: disciplines
creator: James Neira
creator: Carlos Millingalli
creator: Luis Merino
creator: Erick Ordoñez
rights: Copyright (c) 2024 James Neira, Carlos Millingalli, Luis Merino, Erick Ordoñez https://creativecommons.org/licenses/by/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 24
ending page: 30
doi: 10.47187/perspectivas.7.1.209

Transmission of ASCII code messages using a high power (50mW) underwater laser communication prototype in two controlled scenarios
type: item
description: This article offers the development of an underwater communication prototype using a long-range laser (50mW) to find the maximum range of the prototype underwater and the value of the attenuation or power of the received signal as the distance increases. For this purpose, two underwater test scenarios were chosen. In the first scenario (a fish tank) two received signal power measurements were made using the KEYSIGHT Infinii Vision DSOX2022A oscilloscope and in the second scenario (a swimming pool) two measurements were also made. With the data obtained, a graphical analysis of the behaviour of the received signal power was performed. Finally, it is concluded that the maximum range of the prototype underwater is 12m (for distances greater than 12m the laser does not reach the receiver), information is lost or distorted if there is water movement because the particles of the moving water reflect the laser much more and that for the prototype to work both the transmitter and the receiver must be perfectly aligned otherwise the underwater communication will not be established.
subject: Artículos arbitrados
  topic: section
subject: Prototype
  topic: keywords
subject: Underwater
  topic: keywords
subject: Communication
  topic: keywords
subject: Power
  topic: keywords
subject: Voltage
  topic: keywords
subject: Distance
  topic: keywords
subject: Digital Communications
  topic: disciplines
creator: Lessly Borja
creator: Kelly Baño
creator: Anthony Gualli Santos
creator: Jefferson Ribadeneira
rights: Copyright (c) 2024 Lessly Borja, Kelly Baño, Anthony Gualli Santos, Jefferson Ribadeneira https://creativecommons.org/licenses/by/4.0
date: 2025-01-31
publication date: 2025-01-31
starting page: 16
ending page: 23
doi: 10.47187/perspectivas.7.1.207