Publicaciones académicas

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https://repositorio.uc.cl/handle/11534/7

Esta colección incluye artículos de profesores de la Pontificia Universidad Católica de Chile, publicados en revistas nacionales y extranjeras.

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Now showing 1 - 20 of 123

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 manual categorization of new quality issues on automatically-generated tests
(2023) Galindo-Gutierrez, Geraldine; Narea Carvajal, Maximiliano Agustín; Fernández, Blanco Alison
Diverse studies have analyzed the quality of automatically generated test cases by using test smells as the main quality attribute. But recent work reported that generated tests might suffer from a number of quality issues not considered previously, thus suggesting that not all test smells have been identified yet. Little is known about these issues and their frequency within generated tests. In this paper, we report on a manual analysis of an external dataset consisting of 2,340 automatically generated tests. This analysis aimed at detecting new quality issues, not covered by past recognized test smells. We use thematic analysis to group and categorize the new quality issues found. As a result, we propose a taxonomy of 13 new quality issues grouped in four categories. We also report on the frequency of these new quality issues within the dataset and present eight recommendations that test generators may consider to improve the quality and usefulness of the automatically generated tests. As an additional contribution, our results suggest that (i) test quality should be evaluated not only on the tests themselves, but considering also the tested code; and (ii) automatically generated tests present flaws that are unlikely to be found in manually created tests and thus require specific quality checking tools.
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 Network Approach to the Formation of Self-assembled Teams
(2020) Ichhaporia, R.; Gomez Zara, Diego Alonso; DeChurch, L.; Contractor, N.
Which individuals in a network make the most appealing teammates? Which invitations are most likely to be accepted? And which are most likely to be rejected? This study explores the factors that are most likely to explain the selection, acceptance, and rejection of invitations in self-assembling teams. We conducted a field study with 780 participants using an online platform that enables people to form teams. Participants completed an initial survey assessing traits, relationships, and skills. Next, they searched for and invited others to join a team. Recipients could then accept, reject, or ignore invitations. Using Exponential Random Graph Models (ERGMs), we studied how traits and social networks influence teammate choices. Our results demonstrated that (a) agreeable leaders with high psychological collectivism send invitations most frequently, (b) previous collaborators, leaders, competent workers, females, and younger individuals receive the most invitations, and (c) rejections are concentrated in the hands of a few. © 2020, Springer Nature Switzerland AG.
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
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
BPIC 2013: Volvo incident and problem management behavior analysis
(2013) Arias, Michael; Rojas, Eric
This essay has the purpose of presenting the results of a work performed as part of Third International Business Process Intelligence Challenge. This challenge presents an event log from Volvo IT Belgium Company related with incident and problem management, focusing on a couple process owner´s questions. The authors of this document present the analysis realized applying different kind of tools and process mining techniques in order to solve the challenge presented. We provide an analysis, which discovered behavior characteristics, associated with products, resources and organizational lines. The results obtained provide useful information that Volvo can use to have more knowledge about the process that they are executing and have more information to make decisions and improve the actual process.

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Browsing Publicaciones académicas by browse.metadata.categoria "Ciencias de la computación"

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