Artículos de revistas

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https://repositorio.uc.cl/handle/11534/1156

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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Now showing 1 - 20 of 129

2T1M-based double memristive crossbar architecture for in-memory computing
(2016) Vourkas, Ioannis; Papandroulidakis, Georgios; Sirakoulis, Georgios Ch.; Abusleme Hoffman, Ángel Christian
A 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.
A framework for annotating CSV-like data
(2016) Arenas Saavedra, Marcelo Alejandro; Maturana, F.; Riveros Jaeger, Cristian; Vrgoc, Domagoj
A kernel module for pulse-coupled time synchronization of sensor networks
(2017) Wang, Y.; Mosalakanti, K.; Núñez Retamal, Felipe Eduardo; Deligeorges, S.; Doyle, F.
A 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, Andres
Construction 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.
A low-complexity channel training method for efficient SVD beamforming over MIMO channels
(2021) Kettlun, Felipe; Rosas de Andraca, Fernando Ernesto; Oberli Graf, Christian Robert
Abstract 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.
A 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.
A 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
A multi-cast algorithm for robust average consensus over internet of things environments
(2019) Oróstica, Boris; Nuñez Retamal, Felipe Eduardo
A 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
Adaptive Image Segmentation Based on Histogram Transition Zone Analysis
(2016) Acuña González, Rafael G.; Mery Quiroz, Domingo; Klette, Reinhard
Additively manufactured 316L steel reinforced by multi-layer Ti3C2Tx for enhanced mechanical and bio-tribological performance
(2025) Ramteke, R Sangharatna Munneshwar; Ramos Grez, Jorge; Rosenkranz, Andreas ; Marian, Max
Implant materials often suffer from wear, surface degradation, and poor biocompatibility, leading to reduced durability and compromised patient outcomes. Addressing these challenges requires the development of advanced biomaterials with enhanced mechanical strength and bio-tribological performance. In this context, we explore the incorporation of multi-layer Ti3C2Tx into a 316L metal matrix to enhance mechanical and biotribological properties for biomedical applications. Metal matrix composites (MMCs) with 1, 2, and 3 wt.-% Ti3C2Tx were fabricated using laser powder bed fusion (LPBF). Mechanical properties, including surface roughness and hardness, and the bio-tribological behavior were evaluated under dry and synovial body fluid (SBF)-lubricated conditions at 37 ◦C. Lower Ti3C2Tx concentrations yielded smoother surfaces, while higher concentrations increased roughness due to particle agglomeration and clustering. However, the resulting hardness improved especially for an addition of 3 wt.-% Ti3C2Tx. The 1 wt.-% Ti3C2Tx MMCs reduced wear by 31 and 19 % under dry and SBF conditions, respectively, while balls wear (counter-bodies) were reduced by 51 and 13%, respectively. These results highlight the potential of multi-layer Ti3C2Tx to improve the durability and performance of medical devices, demonstrating their promise as advanced biomaterials.
Adversarial classification using signaling games with an application to phishing detection
(2017) Figueroa González, Nicolás Andrés; L'Huillier, Gaston; Weber, Richard
An exact solution method for the TSP with drone based on decomposition
(2021) Vásquez Canales, Sebastián Ignacio; Angulo, Gustavo; Klapp Belmar, Mathias
An 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 Alejandro
Software 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.
An integer programming approach to curriculum-based examination timetabling
(2017) Cataldo Cornejo, Alejandro; Ferrer Ortiz, Juan Carlos; Miranda, Jaime; Rey, Pablo A.; Saure, Antoine
Automatic facial attribute analysis via adaptive sparse representation of random patches
(2015) Mery Quiroz, Domingo; Bowyer, K.
Bounded Repairability for Regular Tree Languages
(2016) Bourhis, Pierre; Puppis, Gabriele; Riveros Jaeger, Cristian; Staworko, Slawek
Collaborative Scenario Experimentation for Strategy Formulation to Shape Desirable Futures
(2025) Wuth Izquierdo, Paula; Hernández, Ricardo J.; Merino Del Campo, Leonel Alejandro; Negrete, Sebastián; Pavez, Ignacio
OVERVIEW: Organizations struggle to envision and shape the future amid increasing volatility and uncertainty, as traditional strategic planning often depends on past experiences. This article explores the intersection of foresight and future making to cocreate desirable futures. It examines the role of collaborative scenario experimentation in strategy formulation and the influence of technology and design in this process. Using an action research methodology at the Innovation Center at Pontificia Universidad Católica de Chile, this study investigates how collaborative scenario experimentation can facilitate strategy formulation that shapes desirable futures. We identified four key sensemaking processes that strengthen this connection: experiencing diverse future scenarios, amplifying collective imagination, confronting expectations to envision desirable futures, and imagining the future to impact the present. We also identified two exploratory enablers—integrating technology to enhance collaborative scenario experimentation and translating design approaches into prospective theorizing and future-making practice—that support the application of these sensemaking processes by deepening immersion in future possibilities and enriching the artifacts and tools used during collaborative scenario experimentation.PRACTITIONER TAKEAWAYS: Traditional planning, which is anchored in past and present data, is insufficient in volatile environments. Collective scenario experimentation enables organizations to immerse themselves in diverse futures, challenge assumptions, and build strategies that are resilient and responsive to uncertainty. Organizations can move beyond merely anticipating change by engaging in collaborative scenario experimentation, which allows them to cocreate visions of desirable futures and translate them into actionable strategies. As a result, organizations can actively influence their trajectory rather than simply adapting to external forces. Immersive technologies deepen engagement with future scenarios and enrich the artifacts used in collaborative scenario experimentation, thereby strengthening the connection between imagination and strategy enactment.
¿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, Javiera
This 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.

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