| Records |
| Author |
Jorge Alvarez; Mireya Zapata; Dennys Paillacho |
| Title |
Mechanical Design of a spatial mechanism for the robot head movements in social robotics for the evaluation of Human-Robot Interaction. |
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Conference Article |
| Year |
2019 |
Publication |
2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2019); Munich, Alemania |
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| Volume |
1026 |
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160-165 |
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gtsi @ user @ |
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104 |
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| Author |
Cristina L. Abad; Yi Lu; Roy H. Campbell |
| Title |
DARE: Adaptive Data Replication for Efficient Cluster Scheduling |
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Conference Article |
| Year |
2011 |
Publication |
IEEE International Conference on Cluster Computing, 2011 |
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159 - 168 |
| Keywords |
MapReduce, replication, scheduling, locality |
| Abstract |
Placing data as close as possible to computation is a common practice of data intensive systems, commonly referred to as the data locality problem. By analyzing existing production systems, we confirm the benefit of data locality and find that data have different popularity and varying correlation of accesses. We propose DARE, a distributed adaptive data replication algorithm that aids the scheduler to achieve better data locality. DARE solves two problems, how many replicas to allocate for each file and where to place them, using probabilistic sampling and a competitive aging algorithm independently at each node. It takes advantage of existing remote data accesses in the system and incurs no extra network usage. Using two mixed workload traces from Facebook, we show that DARE improves data locality by more than 7 times with the FIFO scheduler in Hadoop and achieves more than 85% data locality for the FAIR scheduler with delay scheduling. Turnaround time and job slowdown are reduced by 19% and 25%, respectively. |
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yes |
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cidis @ cidis @ |
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21 |
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| Author |
Cristhian A. Aguilera; Xaver Soria; Angel D. Sappa; Ricardo Toledo |
| Title |
RGBN Multispectral Images: a Novel Color Restoration Approach |
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Conference Article |
| Year |
2017 |
Publication |
15th International Conference on Practical Applications of Agents and Multi-Agent Systems |
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619 |
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155-163 |
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cidis @ cidis @ |
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59 |
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| Author |
Patricia L. Suarez, Dario Carpio, Angel D. Sappa and Henry O. Velesaca |
| Title |
Transformer based Image Dehazing. |
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Conference Article |
| Year |
2022 |
Publication |
16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. |
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148-154 |
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no |
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cidis @ cidis @ |
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195 |
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| Author |
Michael Teutsch, Angel Sappa & Riad Hammoud |
| Title |
Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches |
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Journal Article |
| Year |
2021 |
Publication |
Synthesis Lectures on Computer Vision |
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Vol. 10 No. 2 |
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pp. 138 |
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cidis @ cidis @ |
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166 |
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| Author |
Patricia Suarez & Angel Sappa |
| Title |
Toward a thermal image-like representation |
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Conference Article |
| Year |
2023 |
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Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2023 |
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133 - 140 |
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no |
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cidis @ cidis @ |
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205 |
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| Author |
Angely Oyola; Dennis G. Romero; Boris X. Vintimilla |
| Title |
A Dijkstra-based algorithm for selecting the Shortest-Safe Evacuation Routes in dynamic environments (SSER) |
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Conference Article |
| Year |
2017 |
Publication |
The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017) |
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131-135 |
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no |
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cidis @ cidis @ |
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55 |
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| Author |
Henry O. Velesaca, Patricia L. Suarez, Dario Carpio, and Angel D. Sappa |
| Title |
Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy |
Type |
Conference Article |
| Year |
2021 |
Publication |
16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science |
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13017 |
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131-143 |
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no |
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cidis @ cidis @ |
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163 |
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| Author |
Nayeth I. Solorzano, L. C. H., Leslie del R. Lima, Dennys F. Paillacho & Jonathan S. Paillacho |
| Title |
Visual Metrics for Educational Videogames Linked to Socially Assistive Robots in an Inclusive Education Framework |
Type |
Conference Article |
| Year |
2022 |
Publication |
Smart Innovation, Systems and Technologies. International Conference in Information Technology & Education (ICITED 21), julio 15-17 |
Abbreviated Journal |
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| Volume |
256 |
Issue |
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Pages |
119-132 |
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| Abstract |
In gamification, the development of “visual metrics for educational
video games linked to social assistance robots in the framework of inclusive education” seeks to provide support, not only to regular children but also to children with specific psychosocial disabilities, such as those diagnosed with autism spectrum disorder (ASD). However, personalizing each child's experiences represents a limitation, especially for those with atypical behaviors. 'LOLY,' a social assistance robot, works together with mobile applications associated with the family of educational video game series called 'MIDI-AM,' forming a social robotic platform. This platform offers the user curricular digital content to reinforce the teaching-learning processes and motivate regular children and those with ASD. In the present study, technical, programmatic experiments and focus groups were carried out, using open-source facial recognition algorithms to monitor and evaluate the degree of user attention throughout the interaction. The objective is to evaluate the management of a social robot linked to educational video games
through established metrics, which allow monitoring the user's facial expressions
during its use and define a scenario that ensures consistency in the results for its applicability in therapies and reinforcement in the teaching process, mainly
adaptable for inclusive early childhood education. |
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Approved |
no |
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cidis @ cidis @ |
Serial |
180 |
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| Author |
Miguel Oliveira; Vítor Santos; Angel D. Sappa; Paulo Dias; A. Paulo Moreira |
| Title |
Incremental Texture Mapping for Autonomous Driving |
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Journal Article |
| Year |
2016 |
Publication |
Robotics and Autonomous Systems Journal |
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Vol. 84 |
Issue |
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Pages |
pp. 113-128 |
| Keywords |
Scene reconstruction, Autonomous driving, Texture mapping |
| Abstract |
Autonomous vehicles have a large number of on-board sensors, not only for providing coverage all around the vehicle, but also to ensure multi-modality in the observation of the scene. Because of this, it is not trivial to come up with a single, unique representation that feeds from the data given by all these sensors. We propose an algorithm which is capable of mapping texture collected from vision based sensors onto a geometric description of the scenario constructed from data provided by 3D sensors. The algorithm uses a constrained Delaunay triangulation to produce a mesh which is updated using a specially devised sequence of operations. These enforce a partial configuration of the mesh that avoids bad quality textures and ensures that there are no gaps in the texture. Results show that this algorithm is capable of producing fine quality textures. |
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English |
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no |
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cidis @ cidis @ |
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50 |
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