Artículos de revistas
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Esta colección incluye artículos de revistas de profesores de la Pontificia Universidad Católica de Chile, publicados en revistas nacionales y extranjeras.
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Browsing Artículos de revistas by browse.metadata.categoria "Ciencias de la computación"
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- Item2T1M-based double memristive crossbar architecture for in-memory computing(2016) Vourkas, Ioannis; Papandroulidakis, Georgios; Sirakoulis, Georgios Ch.; Abusleme Hoffman, Ángel Christian
- ItemA Cloud-based Mobile System for Improving Vital Signs Monitoring During Hospital Transfers(2015) Neyem, Andrés; Valenzuela, Guillermo; Risso, Nicolas; Rojas Riethmuller, Juan S.; Benedetto Causa, José Ignacio; Carrillo, Marie J.
- ItemA framework for annotating CSV-like data(2016) Arenas Saavedra, Marcelo Alejandro; Maturana, F.; Riveros Jaeger, Cristian; Vrgoc, Domagoj
- ItemA kernel module for pulse-coupled time synchronization of sensor networks(2017) Wang, Y.; Mosalakanti, K.; Núñez Retamal, Felipe Eduardo; Deligeorges, S.; Doyle, F.
- ItemA Lessons-learned Mobile System for Construction Companies: Motivation and Design(2014) Ferrada Calvo, Ximena Veronica; Sepúlveda Fernández, Marcos Ernesto; Serpell Bley, Alfredo; Daniela Núñez; Neyem, AndresConstruction projects are an important source of organizational knowledge. Though, it is common to find that most lessons learned in construction projects are lost because most companies never take care of collecting them. To change this situation, a mobile lesson-learned system application with interface for smartphones and web in a cloud environment is proposed. This article focuses on the design of a prototype of the system and the main characteristics of its architecture. It is concluded that the application of mobile technology on the field would facilitate the use of the system, been an appropriate tool for knowledge management. (C) 2014 The Authors. Published by Elsevier Ltd.
- ItemA low-complexity channel training method for efficient SVD beamforming over MIMO channels(2021) Kettlun, Felipe; Rosas de Andraca, Fernando Ernesto; Oberli Graf, Christian RobertAbstract Singular value decomposition (SVD) beamforming is an attractive tool for reducing the energy consumption of data transmissions in wireless sensor networks whose nodes are equipped with multiple antennas. However, this method is often not practical due to two important shortcomings: it requires channel state information at the transmitter and the computation of the SVD of the channel matrix is generally too complex. To deal with these issues, we propose a method for establishing an SVD beamforming link without requiring feedback of actual channel or SVD coefficients to the transmitter. Concretely, our method takes advantage of channel reciprocity and a power iteration algorithm (PIA) for determining the precoding and decoding singular vectors from received preamble sequences. A low-complexity version that performs no iterations is proposed and shown to have a signal-to-noise-ratio (SNR) loss within 1 dB of the bit error rate of SVD beamforming with least squares channel estimates. The low-complexity method significantly outperforms maximum ratio combining diversity and Alamouti coding. We also show that the computational cost of the proposed PIA-based method is less than the one of using the Golub–Reinsch algorithm for obtaining the SVD. The number of computations of the low-complexity version is an order of magnitude smaller than with Golub–Reinsch. This difference grows further with antenna array size.
- ItemA Mobile Cloud Shared Workspace to Support Homecare for Respiratory Diseases in Chile(2015) Neyem, Andrés; Risso, Nicolas A.; Carrillo, Marie J.; Farías Cancino, Angélica; Gajardo, Macarena J.
- ItemA morphological database for 606 Colombian bird species(2018) Montoya, Paola; Gonzalez, Mailyn A.; Tenorio, Elkin A.; Pablo Lopez-Ordonez, Juan; Pinto Gomez, Alejandro; Cueva, Diego; Acevedo, Aldemar; Angarita Yanes, Camilo; Arango Martinez, Hector Manuel; Armesto Sanguino, Luis Orlando; Betancur, Jefry S.; Caguazango Castro, Angela; Calderon Leyton, Jhon Jairo; Viviana Calpa-Anaguano, Edna; Cardenas-Posada, Ghislaine; Castano Diaz, Michael; Chaparro-Herrera, Sergio; Diago-Munoz, Nicolas; Franco Espinosa, Laura; Gomez Bernal, Luis German; Gonzalez-Zapata, Fanny L.; Gutierrez Zamora, Eduardo Aquiles; Gutierrez-Zuluaga, Ana M.; Lizcano Jimenez, Robinson Stivel; Lopera-Salazar, Andrea; Martinez Alvarado, Dariel; Maya Giron, Ana Maria; Medina, Wilderson; Montealegre-Talero, Carolina; Parra, Juan L.; Perez-Pena, Sebastian; Ramirez Ramirez, Francis; Reyes, Julian; Fabio Rivera-Gutierrez, Hector; Rosero Mora, Yuri; Trujillo-Torres, Carlos M.; Camilo Vidal-Maldonado, Cristian; Salgado-Negret, Beatriz
- ItemA multi-cast algorithm for robust average consensus over internet of things environments(2019) Oróstica, Boris; Nuñez Retamal, Felipe Eduardo
- ItemA systematic literature review about technologies for self-reporting emotional information(2017) Fuentes Toro, Carolina; Herskovic, Valeria; Rodríguez Ramírez, Iyubanit; Gerea Petculescu, Carmen; Maıra Marques; Pedro O. Rossel
- ItemAdaptive Image Segmentation Based on Histogram Transition Zone Analysis(2016) Acuña González, Rafael G.; Mery Quiroz, Domingo; Klette, Reinhard
- ItemAdversarial classification using signaling games with an application to phishing detection(2017) Figueroa González, Nicolás Andrés; L'Huillier, Gaston; Weber, Richard
- ItemAn exact solution method for the TSP with drone based on decomposition(2021) Vásquez Canales, Sebastián Ignacio; Angulo, Gustavo; Klapp Belmar, Mathias
- ItemAn Eye-Tracking Study on the Use of Split/Unified Code Change Views for Bug Detection(2023) Sandoval Alcocer, Juan Pablo; Cossio-Chavalier, Alejandra; Rojas-Stambuk, Tiara; Merino Del Campo, Leonel AlejandroSoftware developers often use comparison tools to identify bugs in source code by comparing two versions of the code. These tools display the code in either a split view or unified manner, yet there is limited understanding of how developers interact with them when analyzing changes in the source code. Consequently, the advantages and disadvantages of each approach are still unknown. We explored the usefulness, limitations, and potential for improvement of split and unified views of GitHub. To do this, we conducted a user study with 12 participants who were tasked with analyzing source code in two commits to detect bugs. We used a within-subjects approach, and the participants were monitored with an eye-tracking device while using the split and unified views. The results of our study showed that participants experienced less visual strain when using the unified view. This implies that a lower effort can facilitate a more thorough analysis of the code, which can often result in the discovery of more bugs. Additionally, we noticed that participants mainly focused on conditionals, class/instance variables, and code changes. Nevertheless, we did not find any statistically significant differences among the variables examined when using split or unified views. The findings of this study are pertinent to both practitioners and researchers. Practitioners can use the results to make informed decisions when selecting a view, while researchers can use them to identify potential areas for improvement in code comparison tools.
- ItemAn integer programming approach to curriculum-based examination timetabling(2017) Cataldo Cornejo, Alejandro; Ferrer Ortiz, Juan Carlos; Miranda, Jaime; Rey, Pablo A.; Saure, Antoine
- ItemAutomatic facial attribute analysis via adaptive sparse representation of random patches(2015) Mery Quiroz, Domingo; Bowyer, K.
- ItemBounded Repairability for Regular Tree Languages(2016) Bourhis, Pierre; Puppis, Gabriele; Riveros Jaeger, Cristian; Staworko, Slawek
- Item¿Cómo integrar la ética de la inteligencia artificial en el currículo? Análisis y recomendaciones desde el feminismo de la ciencia y de datos(Universidad de Chile. Facultad de Ciencias Sociales, 2024) Arriagada Bruneau, Gabriela; Arias, JavieraThis article examines the incorporation of applied ethics into artificial intelligence (AI) within Chilean university curricula, emphasizing the urgent need to implement an integrated framework of action. Through a documentary analysis, it becomes evident that most higher education programs do not explicitly include AI ethics courses in their curricula, highlighting the need for institutionalizing this integration systematically. In response, we propose an approach grounded in feminist science and data feminism, advocating for the inclusion of diverse perspectives and experiences in the teaching of applied ethics. This framework aims not only to enhance the integration of ethics into the curriculum but also to prepare students to address ethical dilemmas in complex sociotechnical contexts, underscoring the importance of applied ethical reasoning in AI-related disciplines.
- Item¿Cómo navegar el camino hacia la ética en IA?(2023) Arriagada Bruneau, Gabriela; López Mondaca, Claudia; Davidoff Ustilovsky, Ester Alexandra; Núcleo Futures of Artificial Intelligence Research (FAIR)En este artículo relatamos cómo el Centro Nacional de Inteligencia Artifcial (CENIA) busca abordar las consideraciones éticas en sus proyectos de investigación de IA. Hemos conformado un Grupo de Trabajo en Ética (GTE) con representantes de cada línea de investigación del Centro y, en conjunto, hemos explorado diferentes desafíos que aquí resumimos. Primero, discutimos si el enfoque ético en IA requiere un análisis adicional al de los comités de ética de investigación. Luego, revisamos los principios que se han propuesto para resolver los problemas éticos que emergen alrededor de la IA. Finalmente, presentamos la iniciativa de CENIA para priorizar principios éticos propios, que involucra el desarrollo de un enfoque metodológico para evaluarlos. Como conclusión, destacamos la importancia de la ética como una herramienta para mejorar el desarrollo de la IA y subrayamos la necesidad de enfoques éticos específcos para la región latinoamericana
- ItemCompactNets: Compact Hierarchical Compositional Networks for Visual Recognition(2020) Löbel Díaz, Hans-Albert; Vidal, R.; Soto Arriaza, Álvaro Marcelo