Zapata, Mireya
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Zapata, Mireya
Main Affiliation
Quito
Email
mireyazapata@uti.edu.ec
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Scopus Author ID
56818703100

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Sensory Substitution in Music: Enhancing Deaf Perception Through Vibrotactile Feedback

2024 , Johann Jadán , Zapata, Mireya , Remache Vinueza, Byron

Music experienced through vibrotactile interfaces is a method of perceiving musical elements through the sense of touch, often involving vibrations. This technology functions by converting audio signals into physical sensations that can be sensed through the skin, typically via a wearable device like a wristband. Beginning with an initial audio file devoid of tactile feedback, the procedure entails altering it through sinusoidal modeling and, if necessary, implementing a Space-Fixed Audio transformation by utilizing the Head-Related Transfer Function (HRTF). In this study, we successfully transformed sound files into tactile stereo vibrations using specialized hardware. This process was rigorously tested and validated through experimentation involving ten individuals. Our findings confirm that psychophysical sensations can indeed be perceptible. Notably, the most consistent responses were observed when applying the Vibrato and Tremolo effect, following an HRTF transformation. The Space-Fixed Audio transformation primarily introduced variations in azimuth, covering 360∘ in a clockwise direction. Consequently, this processing led to significant spectral changes, effectively rescaling and compressing the audio’s frequencies into lower equivalents. These modified spectral characteristics were subsequently transmitted through vibrotactile actuators, thereby transforming the essence of sound into a tactile experience. This innovative system creates a sensory replacement approach based on the psychophysical sensations perceived on the skin. It has proven to be exceptionally beneficial, particularly for individuals with hearing impairments who may not perceive music in the same way as individuals with typical hearing abilities.

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A Virtual Learning Environments as Training Tools: An Experience with NEO LMS in Physics Teaching

2021 , Zapata, Mireya , Polo-Mantuano J.

This research shows the design and implementation of a Virtual Learning Environment in Physics at the graduate level developed in NEO LMS. This proposal presents an alternative solution to the pedagogical mediations in virtual training spaces. The objective was to create virtual teacher-student communication Scenario either synchronously and asynchronously where interactive, and self-learning are managed through multiple resources: chat, forums, readings, videos, and simulators. As a result of using this instrument, students showed more interest in resource interaction, elements that contributed to the improvement of motivation and academic performance. Moreover, critical thinking, argumentation, and learning culture were strengthened in the students. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Social Robots for Service Environments in Academia

2024 , Zapata, Mireya , Jorge Álvarez-Tello

The increase of social robots in services has generated academic interest in their design and development to enhance human-robot interaction across various contexts, from home assistance to educational and medical environments. Design criteria increasingly explore the software development aspect, but interdisciplinary focus on sustainability also pursues hardware improvement for human-robot interaction in contexts ranging from home assistance to medical environments. With this background, the research question arises: What key features should be considered for the development of a social robot in academia? A systematic metadata review according to PRISMA of 698 studies from the SCOPUS database was conducted, selecting 10 relevant ones to explore functions and applications that allow characterizing hardware and software in the design of social robots for development in academia. Preliminary results indicate a focus on creating smarter, safer, and more adaptable robots, utilizing advances in hardware and software such as flexible electronics and artificial intelligence. It is concluded that the balance between hardware and software proposes the prototyping of a robotic platform with LiDAR/ROS technology, flexible electronics, and ultralightweight material structure, for sustainable, low-power consumption, and low-cost developments. Collaboration among researchers, educators, and developers is crucial to create educational social robots that are both useful and accepted.

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Low-Cost Human–Machine Interface for Computer Control with Facial Landmark Detection and Voice Commands

2022 , Ramos, P. , Zapata, Mireya , Valencia, K. , Vargas, V. , Ramos Galarza, Carlos

Nowadays, daily life involves the extensive use of computers, since human beings are immersed in a technological society. Therefore, it is mandatory to interact with computers, which represents a true disadvantage for people with upper limb disabilities. In this context, this work aims to develop an interface for emulating mouse and keyboard functions (EMKEY) by applying concepts of artificial vision and voice recognition to replace the use of hands. Pointer control is achieved by head movement, whereas voice recognition is used to perform interface functionalities, including speech-to-text transcription. To evaluate the interface’s usability and usefulness, two studies were carried out. The first study was performed with 30 participants without physical disabilities. Throughout this study, there were significant correlations found between the emulator’s usability and aspects such as adaptability, execution time, and the participant’s age. In the second study, the use of the emulator was analyzed by four participants with motor disabilities. It was found that the interface was best used by the participant with cerebral palsy, followed by the participants with upper limb paralysis, spina bifida, and muscular dystrophy. In general, the results show that the proposed interface is easy to use, practical, fairly accurate, and works on a wide range of computers. © 2022 by the authors.

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MobileTestPro: Testing Framework for Mobile Application

2025 , Jorge Romero-Collaguazo , Danilo Martinez , Zapata, Mireya , Xavier Ferre

In the last decade, both the mobile market and app development have seen exponential growth, with millions of apps in online stores and billions of downloads recorded. Several development processes are used for app development, with agile approaches being the best fit for the market model. However, there is a weakness in testing activities and tasks. To provide a tool to improve software quality, we present a proposal for a framework for software testing in apps. Our proposal combines a series of tools used to evaluate an application in key areas such as consistency, security, compatibility, stress, among others, the development activities that provide a deliverable, and Mobile Ilities. To evaluate the feasibility of using the proposal, a toy app was used. The results reflect situations where the app’s behavior is not desired and its relationship with mobile ilities. The main contribution of the paper is to guide app developers in evaluating apps and contributing to improving app quality.

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Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware

2024 , Bernardo Vallejo-Mancero , Jordi Madrenas , Zapata, Mireya

Recent advancements in neuromorphic computing have led to the development of hardware architectures inspired by Spiking Neural Networks (SNNs) to emulate the efficiency and parallel processing capabilities of the human brain. This work focuses on testing the HEENS architecture, specifically designed for high parallel processing and biological realism in SNN emulation, implemented on a ZYNQ family FPGA. The study applies this architecture to the classification of digits using the well-known MNIST database. The image resolutions were adjusted to match HEENS' processing capacity. Results were compared with existing work, demonstrating HEENS' performance comparable to other solutions. This study highlights the importance of balancing accuracy and efficiency in the execution of applications. HEENS offers a flexible solution for SNN emulation, allowing for the implementation of programmable neural and synaptic models. It encourages the exploration of novel algorithms and network architectures, providing an alternative for real-time processing with efficient energy consumption.

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Planning and Management of Fiber Optic Networks Based on a Geographic Information System: A Case in Ecuador

2025 , Miguel Vargas-Bustamante , Zapata, Mireya , Jorge Álvarez-Tello

Lean management contributes to pursuit the quality, accessibility and efficiency of healthcare institutions. Its importance of the implementation of lean management in the healthcare sector using different strategies to improve services like: the supply chain in hospitals. In this review was used the model proposed by seuring and gold based on the analyze a sample of articles indexed in Scopus, web of science and also the simulation tool was used to in order to illustrate the approach. After implementation of lean thinking in different hospital in some countries improves the structure, process and outcome of care and management actions and management in healthcare promotes advantages in terms of quality, safety and efficiency of healthcare in hospitals

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Digital Marketing Strategy for B2B Metalworking Industry: A Case Study for Ecuador

2025 , Cruz Cusme-Palma , Jorge Alvarez-Tello , Zapata, Mireya

In a global environment where digitalization is key to competitiveness, B2B companies in the metalworking sector face challenges in adopting digital tools. In Ecuador, the low digital presence of small and medium-sized enterprises limits their ability to attract clients and expand. This study analyzes the case of Manufacturas ESCA Cía. Ltda., an Ecuadorian company with no digital presence, which requires a digital marketing strategy to improve its visibility and market positioning. The research follows a mixed-method approach, combining qualitative and quantitative methods within a non-experimental, descriptive design. Strategic analysis tools such as SWOT, PESTEL, and CANVAS were applied, along with digital audits and keyword research using Google Keyword Planner, Semrush, and Tubular. Additionally, SEO, SEM, social media, and email marketing strategies were integrated into a comprehensive digital marketing plan. The projected results indicate that the strategy will help increase website traffic to 7,000 annual visits, generate 1,200 leads, and achieve an estimated revenue of $183,814.16 in the first year, with a positive return on investment. It is concluded that implementing digital strategies not only enhances visibility and customer acquisition but also strengthens the competitiveness and sustainability of industrial companies in emerging digital markets. Digital transformation is a strategic necessity for B2B companies aiming to optimize their positioning and growth in the digital era.

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Real-time hardware emulation of neural cultures: A comparative study of in vitro, in silico and in duris silico models

2024 , Bernardo Vallejo-Mancero , Sergio Faci-Lázaro , Zapata, Mireya , Jordi Soriano , Jordi Madrenas

Biological neural networks are well known for their capacity to process information with extremely low power consumption. Fields such as Artificial Intelligence, with high computational costs, are seeking for alternatives inspired in biological systems. An inspiring alternative is to implement hardware architectures that replicate the behavior of biological neurons but with the flexibility in programming capabilities of an electronic device, all combined with a relatively low operational cost. To advance in this quest, here we analyze the capacity of the HEENS hardware architecture to operate in a similar manner as an in vitro neuronal network grown in the laboratory. For that, we considered data of spontaneous activity in living neuronal cultures of about 400 neurons and compared their collective dynamics and functional behavior with those obtained from direct numerical simulations (in silico) and hardware implementations (in duris silico). The results show that HEENS is capable to mimic both the in vitro and in silico systems with high efficient-cost ratio, and on different network topological designs. Our work shows that compact low-cost hardware implementations are feasible, opening new avenues for future, highly efficient neuromorphic devices and advanced human–machine interfacing.

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Design and Implementation of a Wastewater Heat Recovery System Prototype for Electric Showers in Quito-Ecuador

2020 , Remache Vinueza, Byron , Calderón G.E. , Zapata, Mireya

A wastewater heat recovery system was designed and implemented in the city of Quito - Ecuador. The prototype consists of adapting a heat exchanger to recover energy from wastewater and preheat the water that enters an electric shower. A temperature control system was designed and adapted to work based on a preset comfort temperature. A procedure for the manufacture of copper U-pipe fittings was developed for the construction of the heat exchanger coil, which consists of freezing water inside the pipe so that when rolled it avoids crushing and excessive loss of the inner diameter. Results show that for an average family of 4 members a reduction of energy consumption by 57% is possible. For the case of Ecuador, a reduction of 56.69 Mt of equivalent CO2 emissions was estimated if the system was implemented across the country. A payback period of 8.35 years was calculated for the initial investment. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

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