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Author Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic pdf  openurl
  Title Multi-sensor Fusion Module in a Fault Tolerant Perception System for Autonomous Vehicles Type Journal Article
  Year 2016 Publication (up) Journal of Automation and Control Engineering (JOACE) Abbreviated Journal  
  Volume Vol. 4 Issue Pages pp. 430-436  
  Keywords Fault Tolerance, Data Fusion, Multi-sensor Fusion, Autonomous Vehicles, Perception System  
  Abstract Driverless vehicles are currently being tested on public roads in order to examine their ability to perform in a safe and reliable way in real world situations. However, the long-term reliable operation of a vehicle’s diverse sensors and the effects of potential sensor faults in the vehicle system have not been tested yet. This paper is proposing a sensor fusion architecture that minimizes the influence of a sensor fault. Experimental results are presented simulating faults by introducing displacements in the sensor information from the KITTI dataset.  
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  Call Number cidis @ cidis @ Serial 51  
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Author Daniela Rato, Miguel Oliviera, Victor Santos, Manuel Gomes & Angel Sappa url  openurl
  Title A Sensor-to-Pattern Calibration Framework for Multi-Modal Industrial Collaborative Cells. Type Journal Article
  Year 2022 Publication (up) Journal of Manufacturing Systems Abbreviated Journal  
  Volume Vol. 64 Issue Pages pp. 497-507  
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  Call Number cidis @ cidis @ Serial 184  
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Author Byron Lima; Ricardo Cajo; Victor Huilcapi; Wilton Agila pdf  url
openurl 
  Title Modeling and comparative study of linear and nonlinear controllers for rotary inverted pendulum Type Conference Article
  Year 2017 Publication (up) Journal of Physics: Conference Series Abbreviated Journal  
  Volume 783 Issue Pages  
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  Abstract The rotary inverted pendulum (RIP) is a problem difficult to control, several studies have been conducted where different control techniques have been applied. Literature reports that, although problem is nonlinear, classical PID controllers presents appropriate performances when applied to the system. In this paper, a comparative study of the performances of linear and nonlinear PID structures is carried out. The control algorithms are evaluated in the RIP system, using indices of performance and power consumption, which allow the categorization of control strategies according to their performance. This article also presents the modeling system, which has been estimated some of the parameters involved in the RIP system, using computer-aided design tools (CAD) and experimental methods or techniques proposed by several authors attended. The results indicate a better performance of the nonlinear controller with an increase in the robustness and faster response than the linear controller  
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  Call Number gtsi @ user @ Serial 69  
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Author Mónica Villavicencio; Alain Abran pdf  url
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  Title Facts and Perceptions Regarding Software Measurement in Education and in Practice: Preliminary Results Type Journal Article
  Year 2011 Publication (up) Journal of Software Engineering and Application Abbreviated Journal  
  Volume Issue Pages pp. 227-234  
  Keywords Software measurement, education, software engineering  
  Abstract How is software measurement addressed in undergraduate and graduate programs in universities? Do organizations consider that the graduating students they hire have an adequate knowledge of software measurement? To answer these and related questions, a survey was administered to participants who attended the IWSM-MENSURA 2010 conference in Stuttgart, Germany. Forty-seven of the 69 conference participants (including software development practitioners, software measurement consultants, university professors, and graduate students) took part in the survey. The results indicate that software measurement topics are: A) covered mostly at the graduate level and not at the undergraduate level, and B) not mandatory. Graduate students and professors consider that, of the measurement topics covered in university curricula, specific topics, such as measures for the requirements phase, and measurement techniques and tools, receive more attention in the academic context. A common observation of the practitioners who participated in the survey was that students hired as new employees bring limited software measurement-related knowledge to their organizations. Discussion of the findings and directions for future research are presented.  
  Address 2 CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil, Ecuador  
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  Call Number cidis @ cidis @ Serial 17  
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Author Marjorie Chalen; Boris X. Vintimilla pdf  openurl
  Title Towards Action Prediction Applying Deep Learning Type Journal Article
  Year 2019 Publication (up) Latin American Conference on Computational Intelligence (LA-CCI); Guayaquil, Ecuador; 11-15 Noviembre 2019 Abbreviated Journal  
  Volume Issue Pages pp. 1-3  
  Keywords action prediction, early recognition, early detec- tion, action anticipation, cnn, deep learning, rnn, lstm.  
  Abstract Considering the incremental development future action prediction by video analysis task of computer vision where it is done based upon incomplete action executions. Deep learning is playing an important role in this task framework. Thus, this paper describes recently techniques and pertinent datasets utilized in human action prediction task.  
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  Call Number cidis @ cidis @ Serial 129  
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Author Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa pdf  openurl
  Title Fine-tuning deep convolutional networks for lepidopterous genus recognition Type Journal Article
  Year 2017 Publication (up) Lecture Notes in Computer Science Abbreviated Journal  
  Volume Vol. 10125 LNCS Issue Pages pp. 467-475  
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  Call Number gtsi @ user @ Serial 63  
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Author Suarez Patricia; Carpio Dario; Sappa Angel D. pdf  isbn
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  Title A Deep Learning Based Approach for Synthesizing Realistic Depth Maps Type Conference Article
  Year 2023 Publication (up) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 22nd International Conference on Image Analysis and Processing, ICIAP 2023 Udine 11 – 15 September 2023 Abbreviated Journal  
  Volume 14234 LNCS Issue Pages 369 - 380  
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  ISSN 03029743 ISBN 978-303143152-4 Medium  
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  Call Number cidis @ cidis @ Serial 231  
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Author Emmanuel Moran Barreiro & Boris Vintimilla url  openurl
  Title Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves Type Conference Article
  Year 2023 Publication (up) Lecture Notes in Computer Science. 26th Iberoamerican Congress on Pattern Recognition Abbreviated Journal  
  Volume 14469 LNCS Issue Pages 257 - 271  
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  Call Number cidis @ cidis @ Serial 222  
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Author Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia url  doi
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  Title Dense extreme inception network for edge detection. Type Journal Article
  Year 2023 Publication (up) Pattern Recognition Abbreviated Journal  
  Volume Vol. 139 Issue Pages  
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  ISSN 00313203 ISBN Medium  
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  Call Number cidis @ cidis @ Serial 216  
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Author Xavier Soria, Yachuan Li, Mohammad Rouhani & Angel D. Sappa pdf  openurl
  Title Tiny and Efficient Model for the Edge Detection Generalization Type Conference Article
  Year 2023 Publication (up) Proceedings – 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 Abbreviated Journal  
  Volume Issue Pages 1356 - 1365  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 229  
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