Universidad Indoamérica
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EC
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Quito
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INDOAMÉRICA es una Institución de educación superior con más de tres décadas al servicio de la ciencia y la formación de profesionales de excelencia. Nuestros orígenes se remontan a los años ochenta, cuando fue constituido el Centro de Estudios de Computación “Servisistemas Informáticos Indoamérica”. Su nombre, INDOAMÉRICA, expresa un profundo sentido de pertenencia a la cultura latinoamericana, lo cual constituye la base fundamental de nuestra identidad.

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Ancestral Knowledge in the Teaching and Learning Process

2025 , Quezada-Sarmiento, Pablo Alejandro , Patricia Marisol Chango-Cañaveral , Jadán Guerrero, Janio

This research explores the importance of ancestral knowledge, such as myths, which are transmitted orally in different families in cultural communities. However, this knowledge combined with popular knowledge can also be applied to education. Therefore, the objective of this work was to design a methodological strategy for ninth grade general education students through a variety of didactic resources in the fields of knowledge of language and national literature and knowledge of language and literature spanish. The work is based on the popular myth of the community “Shakaim/The God of Work”, in which morals and moral values are taught, incorporating popular knowledge, such as reading comprehension

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Social capital and the generation of technological innovations in Ecuadorian companies

2021 , Morales-Urrutia D. , Morales Molina, Tania , Morales-Urrutia E. , Quiroga-López M.

The objective of this research is to analyze social capital in the generation of technological innovations in Ecuadorian companies. From the methodological point of view, the data from the Ecuadorian Institute of Statistics and Census (INEC) are taken from the ACTI 2012-2014 survey. The results point to the existence of an influence of social capital in the creation of technological innovations in companies. In conclusion, the importance of the networks and the links that are managed strategically in the sectors are highlighted. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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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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Mobile Learning as an alternative in the teaching of the radiology and imaging career [Mobile Learning como alternativa en la enseñanza de la carrera de radiología e imagenología]

2022 , Dillon F. , Velasco D. , Rojas D. , Quichimbo M.

The present research work analyzed the feasibility of implementing the mobile application called “RADEX” as part of the learning process of the subject of Basic Radiological Techniques in students of the Imaging and Radiology career at the University of Cuenca-Ecuador; For this, a mixed, pre-experimental, sequential exploratory and correlational research approach was used. The study population and sample were selected through a non-probabilistic sampling for convenience and was made up of 5 teachers and 28 students. As research instruments, two questionnaires and a diagnostic test were used to compare the learning results of the Basic Radiological Techniques subject before and after using the “RADEX” mobile application. As the main conclusion of the research work, it can be mentioned that the use of the mobile application “RADEX” did improve the results and the learning process of the population studied. © 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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Technological Elements Affecting SMEs: A Bibliometric and Theoretical Review

2025 , Vayas Ortega, Germania , Espinoza Guano, Mónica , Rios Ponce, Marco , Suárez Pérez, Juan Carlos

In this study, a combined review of the technological elements that affect small and medium-sized enterprises (SMEs) is conducted as a first step towards new automation proposals through a theoretical and bibliometric analysis. The bibliometric review identifies research trends, leading countries such as the United Kingdom and China, and influential authors who stand out in the adoption of technologies in SMEs. The data shows an exponential growth in publications over the last two decades, highlighting the topic’s relevance in academic research. The theoretical review delves into the implementation of technological tools such as knowledge management, information and communication technologies, and the digitalization of business models to enhance operational efficiency and competitiveness. The study highlights how automation, artificial intelligence, and supply chain management have improved company performance by optimizing resources and reducing costs. However, barriers such as limited access to financing and a lack of technological skills persist. It is determined that SMEs must adopt a culture of innovation and leverage international collaboration to integrate emerging technologies, improve sustainability, and compete effectively in an ever-changing global market

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A new spin on a compositionalist predictive modelling framework for conservation planning: A tropical case study in Ecuador

2013 , Mateo R.G. , de la Estrella M. , Felicísimo Á.M. , Muñoz J. , Guisan A.

Knowledge about spatial biodiversity patterns is a basic criterion for reserve network design. Although herbarium collections hold large quantities of information, the data are often scattered and cannot supply complete spatial coverage. Alternatively, herbarium data can be used to fit species distribution models and their predictions can be used to provide complete spatial coverage and derive species richness maps. Here, we build on previous effort to propose an improved compositionalist framework for using species distribution models to better inform conservation management. We illustrate the approach with models fitted with six different methods and combined using an ensemble approach for 408 plant species in a tropical and megadiverse country (Ecuador). As a complementary view to the traditional richness hotspots methodology, consisting of a simple stacking of species distribution maps, the compositionalist modelling approach used here combines separate predictions for different pools of species to identify areas of alternative suitability for conservation. Our results show that the compositionalist approach better captures the established protected areas than the traditional richness hotspots strategies and allows the identification of areas in Ecuador that would optimally complement the current protection network. Further studies should aim at refining the approach with more groups and additional species information. © 2013 Elsevier Ltd.

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Virtual Reality as a Learning Mechanism: Experiences in Marketing

2024 , Ramos Galarza, Carlos , Bolaños-Pasquel, Mónica , Cruz-Cárdenas J.

Virtual reality or VR is the simulation of a real or imaginary environment, which can be experienced as an abstraction of the real environment, which in turn allows the user to interact through a technological device within that simulation. Likewise, the user has the ability to modify the surrounding system by means of motion sensors, which will allow him/her to feel, and perceive as he or she is immersed in virtuality. Thanks to VR, sensorial perception is amplified, allowing to enhance our experiences of the real world, so that VR provides us with safe space of learning. Because of it, there has been seen necessary to review the scope of VR in marketing education, addressing that technology advances present excellent tools useful for the training of better professionals, as well as being support into rehabilitation processes, such as in learning difficulties at all marketing educational levels. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Psychometric properties of the Escala de Gravedad de Síntomas Revisada del Trastorno de Estrés Postraumático (EGS-R) in adults in Ecuador after the Covid-19 pandemic

2024 , Moreta-Herrera R. , Núñez-Núñez M. , Lascano Arias, Giovanni , Mascialino G. , Rodríguez-Lorenzana A.

Objective: This study aims to assess the validity of the Escala de Gravedad de Síntomas Revisada del Trastorno de Estrés Postraumático (EGS-R) among adults in Ecuador within the post-pandemic context of Covid-19. Methods: Descriptive and instrumental design. Participants: 537 participants from Ambato, Ecuador, comprising 44.1% men and 55.9% women, aged 18 to 65 years (M = 24.36; SD = 8.87). Among the participants, 64.6% had experienced Covid-19, while 35.4% had not. Results: The EGS-R exhibits a hierarchical factorial structure, demonstrating measurement equivalence between participants who experienced Covid-19 and those who did not. Significant differences emerged between the groups, with individuals who had contracted Covid-19 displaying a higher symptom burden, thereby establishing the discriminant validity of the measure. The scale also exhibits validity concerning other variables, such as stress perception, and demonstrates satisfactory internal consistency among its scores. Conclusions: The EGS-R proves to be a valuable tool for assessing adults in Ecuador for potential indicators of Posttraumatic Stress Disorder (PSTD) given the robust evidence of validity and reliability, affirming its utility and evaluative capacity in this population. © 2024

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A mouth full of blood – autohaemorrhaging in three Ecuadorian snakes (Squamata: Colubridae & Tropidophiidae)

2023 , Rödel M.-O. , Loaiza-Lange A. , Penner J. , Neira-Salamea K.D. , Salazar Valenzuela, David

[No abstract available]

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Real-Time Monitoring Tool for SNN Hardware Architecture

2023 , Zapata M. , Vargas V. , Cagua A. , Alvarez D. , Vallejo B. , Madrenas J.

Spiking Neural Networks (SNN) are characterized by their brain-inspired biological computing paradigm. Large-scale hardware platforms are reported, where computational cost, connectivity, number of neurons and synapses, speed, configurability, and monitoring restriction, are some of the main concerns. Analog approaches are limited by their low flexibility and the amount of time and resources spent on prototype development design and implementation. On the other hand, the digital SNN platform based on System on Chip (SoC) offers the advantage of the Field-programmable Gate Array (FPGA) technology, along with a powerful Advanced RISC Machine (ARM) processor in the same chip, that can be used for peripheral control and high-bandwidth direct memory access. This paper presents a monitoring tool developed in Python that receives spike data from a large-scale SNN architecture called Hardware Emulator of Evolvable Neural System for Spiking Neural Network (HEENS) in order to on-line display in a dynamic raster plot in real-time. It is also possible to create a plain text file (.txt) with the entire spike activity with the aim to be analyzed offline. Overall, the monitoring tool and the HEENS functionalities working together show great potential for an end-user to bring up a neural application and monitor its evolution introducing a low delay, since a FIFO is used to temporarily store the incoming spikes to give the processor time to transmit data to the PC through Ethernet bus, without affecting the neural network execution. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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