Artículos de revistas
Permanent URI for this collection
Esta colección incluye artículos de revistas de profesores de la Pontificia Universidad Católica de Chile, publicados en revistas nacionales y extranjeras.
Browse
Browsing Artículos de revistas by browse.metadata.categoria "Ciencias de la computación"
Now showing 1 - 20 of 98
Results Per Page
Sort Options
- 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 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 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 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
- ItemComunicación eficiente en world wide web : guía para la hipercomunicación.(1996) Colle, Raymond
- ItemConnection-Aware Heuristics for Scheduling and Distributing Jobs under Dynamic Dew Computing Environments(2024) Sanabria Quispe, Pablo; Montoya Tapia, Sebastián Ignacio; Neyem, Andrés; Toro Icarte, Rodrigo Andrés; Hirsch, Matías; Mateos, CristianDue to the widespread use of mobile and IoT devices, coupled with their continually expanding processing capabilities, dew computing environments have become a significant focus for researchers. These environments enable resource-constrained devices to contribute computing power to a local network. One major challenge within these environments revolves around task scheduling, specifically determining the optimal distribution of jobs across the available devices in the network. This challenge becomes particularly pronounced in dynamic environments where network conditions constantly change. This work proposes integrating the “reliability” concept into cutting-edge human-design job distribution heuristics named ReleSEAS and RelBPA as a means of adapting to dynamic and ever-changing network conditions caused by nodes’ mobility. Additionally, we introduce a reinforcement learning (RL) approach, embedding both the notion of reliability and real-time network status into the RL agent. Our research rigorously contrasts our proposed algorithms’ throughput and job completion rates with their predecessors. Simulated results reveal a marked improvement in overall throughput, with our algorithms potentially boosting the environment’s performance. They also show a significant enhancement in job completion within dynamic environments compared to baseline findings. Moreover, when RL is applied, it surpasses the job completion rate of human-designed heuristics. Our study emphasizes the advantages of embedding inherent network characteristics into job distribution algorithms for dew computing. Such incorporation gives them a profound understanding of the network’s diverse resources. Consequently, this insight enables the algorithms to manage resources more adeptly and effectively.
- ItemCrossbar-Based Memristive Logic-in-Memory Architecture(2017) Papandroulidakis, Georgios; Vourkas, Ioannis; Abusleme Hoffman, Ángel Christian; Georgios, Ch.; Sirakoulis, Antonio Rubio