Examinando por Autor "Muñoz, Roberto"

Mostrando 1 - 6 de 6
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    A Systematic approach to improve Support Vector Machine applied to ultrasonic guided wave spectrum image classification
    (IEEE, 2021) Miranda, Diego; Olivares, Rodrigo; Muñoz, Roberto; Jean-Gabriel Minonzio
    Osteoporosis is a skeletal disorder characterized by low bone mass, which compromises its resistance and increases the risk of fractures, and is a widespread problem worldwide. Currently, the gold standard for assessing fracture risk is the measurement of the areal bone mineral density with Dual-Energy X-ray Absorptiometry. Several ultrasound techniques have been presented as alternatives. It has been shown that the estimation of cortical thickness and porosity, obtained by Bi-Directional Axial Transmission, are associated with non-traumatic fractures in postmenopausal women. Cortical parameters were derived from the comparison between experimental and theoretical guided modes. However, this model-based inverse approach tends to fail for the patients associated with poor guided mode information. A recent study has shown the potential of an automatic classification tool, Support Vector Machine, to analyze guided wave spectrum images independently of any waveguide model. The aim of this study is to explore how the classification accuracy varies with the number of features. Optimization was done using the Particle Swarm Optimization algorithm, while adjustment was made considering age, body mass index, and cortisone intake. The results show that adjusting the data and optimizing the parameters improved classification. Moreover, the number of features was reduced from 32 to 15, with 73.5% accuracy comparable to the gold standard.
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    Aporte de recursos tecnológicos como reforzadores a la terapia fonoaudiológica en niños y niñas con trastorno del espectro autista que asisten a escuelas especiales ubicadas en las ciudades de Quilpué y Valparaíso
    (Universidad de Valparaíso, 2013-11) Castro, Melanie; Fernández, Mariana; Gómez, Francisca; González, Yasna; Waman, Adela; Kreisel Vera, Vanessa; Muñoz, Roberto
    En la actualidad, las tecnologías de la información y comunicación (TICS) se han incorporado gradualmente a la intervención educativa de los niños y niñas con trastorno del espectro autista (TEA). Éstas, por su amplia variedad de recursos y adaptabilidad, constituyen dispositivos que facilitan la comunicación y la integración sociolaboral, mejorando así, la calidad de vida de las personas con este trastorno. El objetivo de esta investigación fue determinar el tipo de reforzador, no tecnológico (juguetes convencionales sin mecanismo electrónico) o tecnológico (tablet, robot y/o tablet & robot), que genera una mejor respuesta frente a los estímulos presentados a niños y niñas con TEA de las escuelas especiales de trastornos de la comunicación, Germina de Quilpué y San Roque, e Hirondelle de Valparaíso en un contexto de terapia fonoaudiológica. La muestra estudiada fue de 32 niños y niñas con diagnóstico de TEA, los cuales asistían a escuelas especiales de trastornos graves de la relación y la comunicación. El enfoque de la investigación fue cuantitativo, su alcance descriptivo, el diseño cuasi- experimental de comparación con evaluación pre y post prueba. Para ello, se aplicó una rúbrica como instrumento de evaluación, co-creada y validada con un juicio de expertos, para registrar las observaciones de las respuestas de los niños y niñas con TEA, frente a los reforzadores presentados en contexto de terapia fonoaudiológica. Los resultados evidencian que el reforzador tablet & robot obtuvo mejor rendimiento en las conductas observadas de los niños y niñas con TEA en comparación a los reforzadores no tecnológicos, el reforzador tecnológico tablet y reforzador tecnológico robot. De esta manera, el tablet y robot al ser utilizados como reforzador en la misma terapia fonoaudiológica, constituye una nueva herramienta de trabajo que facilita el quehacer fonoaudiológico en la terapia de niños y niñas con TEA. Este estudio forma parte de una innovadora base teórica para el perfeccionamiento de fonoaudiólogos en la implementación de TICS y hacia el desarrollo de una nueva gama de investigaciones vinculadas a este tema.
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    Can Analytics of Speaking Time Serve as Indicators of Effective Team Communication and Collaboration?
    (ACM, 2021) Salinas, Omar; Riquelme, Fabian; Muñoz, Roberto; Cechinel, Cristian; Martinez, Roberto; Monsalves, Diego
    People with effective teamwork skills, such as collaboration or leadership, are highly demanded in the workplace. In turn, educational providers have adopted active learning methodologies, such as collaborative problem-solving. However, the objective evaluation of collaboration at scale still is a challenge. This paper explores the relationship between quantitative measures obtained from automated transcriptions of speech and qualitative indicators of effective collaboration. An omnidirectional microphone and an artificial intelligence algorithm were used to collect speaking data from 20 triads of students discussing and building a concept map. The study focused on validating the potential value of speech recording devices to quantify the dynamics of communication networks by comparing quantitative metrics obtained from them with an established rating scheme for measuring the extent of collaboration. Results showed a relationship between the standard deviations of the speaking times of the participants in each group and the evaluation obtained from the qualitative rubrics of communication and interpersonal relationships. Thus, the extent to which all group members contribute to the discourse can potentially serve as an indicator of effective group work.
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    Enfoque de aplicación ágil con Scrum, Lean y Kanban
    (Universidad De Tarapacá, 2021) Gaete, José; Villarroel, Rodolfo; Figueroa, Ismael; Cornide-Reyes, Héctor; Muñoz, Roberto
    En este artículo se presenta la revisión de tres principales enfoques ágiles existentes: Scrum, Lean Software Development y Kanban, las cuales sirvieron de base para la elaboración de una propuesta para un nuevo enfoque en el desarrollo ágil. Para lograrlo, se realiza una descripción de cada enfoque ágil para el desarrollo de software y una comparativa para detectar sus puntos fuertes y débiles. Posteriormente, se establece la nueva propuesta a partir de la integración de los tres enfoques, definiendo un conjunto de métricas y desarrollando un caso de estudio para evaluar la integración y obtener datos cuantitativos y cualitativos. Los resultados obtenidos a partir del caso de estudio resultaron ser bastantes positivos porque nos permitió evaluar de forma integral el nuevo enfoque. Estos resultados representan un prometedor inicio para continuar trabajando en este camino.
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    Internet of Water Things: A Remote Raw Water Monitoring and Control System
    (IEEE, 2021) Da Silva Júnior, Abílio C.; Muñoz, Roberto; Quezada, María De Los Ángeles; Lira Neto, Aloísio V.
    The scarcity of the planet's water resources is a concern of several international entities and governments. Smart solutions for water quality monitoring are gaining prominence with advances in communication technology. This work's primary goal is to develop a new online system to monitor and manage water resources, called Internet of Water Things (IoWT). The proposed system's objective would be to control and manage raw water resources. Thus, it has developed a platform based on the server-less architecture and Internet of Things Architectural Reference Model, in which it is applied in a simulation environment, considering several electronic devices to validate its performance. For this research, there is a system for capturing raw water from tubular wells. Each well has a level sensor, a temperature sensor and a rain gauge. The data is collected every minute by an electronic device and sent every hour to the IoWT system. From data analysis, the amount of memory allocated to functions minimally interferes with efficiency. The IoWT system, applied in a real case, consists of connecting a device installed in a water well to the platform, where the data is transmitted through a 3G network and then processed. Thus, the proposed approach has great potential to be considered a complementary tool in monitoring raw water and assisting in decision-making for the management of water resources.
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    Mensurando o desenvolvimento do Pensamento Computacional por meio de Mapas Auto-Organizáveis: um estudo preliminar em uma Oficina de Jogos Digitais
    (Universidad de Valparaiso, 2018) Muñoz, Roberto
    The automated analysis of programming code developed during Computational Thinking development activities has demonstrated a potential to identify employed strategies for problem solving. However, the evolution of code produced by students and its relationships with Computational Thinking skill acquisition has not been explored in full detail. In this study we used selforganizing maps to analyze games produced by students in a Game Building Workshop offered in 2013 and 2017. As a result of the training process, clusters in the produced map were consistent with employed strategies that were previously observed in classroom activities