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Author Wilton Agila; Gomer Rubio; L. Miranda; L. Vázquez
Title Qualitative Model of Control in the Pressure Stabilization of PEM Fuel Cell Type Conference Article
Year 2018 Publication 7th International Conference on Renewable Energy Research and Applications, ICRERA 2018. Paris, Francia. Abbreviated Journal
Volume (down) Issue Pages 1221-1226
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Abstract This work describes an approximate reasoning

technique to deal with the non-linearity that occurs in the

stabilization of the pressure of anodic and cathodic gases of a

proton exchange membrane fuel cell (PEM). The implementation

of a supervisory element in the stabilization of the pressure of the

PEM cell is described. The fuzzy supervisor is a reference

control, it varies the value of the reference given to the classic

low-level controller, Proportional – Integral – Derivative (PID),

according to the speed of change of the measured pressure and

the change in the error of the pressure. The objective of the fuzzy

supervisor is to achieve a rapid response over time of the variable

pressure, avoiding unwanted overruns with respect to the

reference value. A comparative analysis is detailed with the

classic PID control to evaluate the operation of the “fuzzy

supervisor”, with different flow values and different sizes of

active area of the PEM cell (electric power generated).
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Call Number gtsi @ user @ Serial 88
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Author Mónica Villavicencio; Alain Abran
Title Facts and Perceptions Regarding Software Measurement in Education and in Practice: Preliminary Results Type Journal Article
Year 2011 Publication Journal of Software Engineering and Application Abbreviated Journal
Volume (down) 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 Cristina L. Abad; Yi Lu; Roy H. Campbell
Title DARE: Adaptive Data Replication for Efficient Cluster Scheduling Type Conference Article
Year 2011 Publication IEEE International Conference on Cluster Computing, 2011 Abbreviated Journal
Volume (down) Issue Pages 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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Call Number cidis @ cidis @ Serial 21
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Author Xavier Soria; Angel D. Sappa
Title Improving Edge Detection in RGB Images by Adding NIR Channel. Type Conference Article
Year 2018 Publication 14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) Abbreviated Journal
Volume (down) Issue Pages 266-273
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Call Number gtsi @ user @ Serial 95
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla
Title Cross-spectral image dehaze through a dense stacked conditional GAN based approach. Type Conference Article
Year 2018 Publication 14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) Abbreviated Journal
Volume (down) Issue Pages 358-364
Keywords
Abstract This paper proposes a novel approach to remove haze from RGB images using a near infrared images based on a dense stacked conditional Generative Adversarial Network (CGAN). The architecture of the deep network implemented receives, besides the images with haze, its corresponding image in the near infrared spectrum, which serve to accelerate the learning process of the details of the characteristics of the images. The model uses a triplet layer that allows the independence learning of each channel of the visible spectrum image to remove the haze on each color channel separately. A multiple loss function scheme is proposed, which ensures balanced learning between the colors and the structure of the images. Experimental results have shown that the proposed method effectively removes the haze from the images. Additionally, the proposed approach is compared with a state of the art approach showing better results.
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Call Number gtsi @ user @ Serial 92
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Author Dennis G. Romero; A. F. Neto; T. F. Bastos; Boris X. Vintimilla
Title An approach to automatic assistance in physiotherapy based on on-line movement identification. Type Conference Article
Year 2012 Publication VI Andean Region International Conference – ANDESCON 2012 Abbreviated Journal
Volume (down) Issue Pages
Keywords patient rehabilitation, patient treatment, statistical analysis
Abstract This paper describes a method for on-line movement identification, oriented to patient’s movement evaluation during physiotherapy. An analysis based on Mahalanobis distance between temporal windows is performed to identify the “idle/motion” state, which defines the beginning and end of the patient’s movement, for posterior patterns extraction based on Relative Wavelet Energy from sequences of invariant moments.
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Publisher IEEE Place of Publication Andean Region International Conference (ANDESCON), 2012 VI Editor
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Call Number cidis @ cidis @ Serial 24
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Author Cristhian A. Aguilera; Francisco J. Aguilera; Angel D. Sappa; Ricardo Toledo
Title Learning crossspectral similarity measures with deep convolutional neural networks Type Conference Article
Year 2016 Publication IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops Abbreviated Journal
Volume (down) Issue Pages 267-275
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Abstract The simultaneous use of images from different spectra can be helpful to improve the performance of many com- puter vision tasks. The core idea behind the usage of cross- spectral approaches is to take advantage of the strengths of each spectral band providing a richer representation of a scene, which cannot be obtained with just images from one spectral band. In this work we tackle the cross-spectral image similarity problem by using Convolutional Neural Networks (CNNs). We explore three different CNN archi- tectures to compare the similarity of cross-spectral image patches. Specifically, we train each network with images from the visible and the near-infrared spectrum, and then test the result with two public cross-spectral datasets. Ex- perimental results show that CNN approaches outperform the current state-of-art on both cross-spectral datasets. Ad- ditionally, our experiments show that some CNN architec- tures are capable of generalizing between different cross- spectral domains.
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Call Number cidis @ cidis @ Serial 48
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Author Monica Villavicencio; Alain Abran
Title Educational Issues in the Teaching of Software Measurement in Software Engineering Undergraduate Programs Type Conference Article
Year 2011 Publication Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement Abbreviated Journal
Volume (down) Issue Pages 239-244
Keywords measurement; software engineering; higher education
Abstract In mature engineering disciplines and science, mathematics and measurement are considered as important subjects to be taught in university programs. This paper discusses about these subjects in terms of their respective meanings and complementarities. It also presents a discussion regarding their maturity, relevance and innovations in their teaching in engineering programs. This paper pays special attention to the teaching of software measurement in higher education, in particular with respect to mathematics and measurement in engineering in general. The findings from this analysis will be useful for researchers and educators interested in the enhancement of educational issues related to software measurement.
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Publisher IEEE Place of Publication Editor
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Call Number gtsi @ user @ Serial 68
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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) Type Conference Article
Year 2017 Publication The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017) Abbreviated Journal
Volume (down) Issue Pages 131-135
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Call Number cidis @ cidis @ Serial 55
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla
Title Cross-spectral Image Patch Similarity using Convolutional Neural Network Type Conference Article
Year 2017 Publication 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) Abbreviated Journal
Volume (down) Issue Pages 1-5
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Call Number cidis @ cidis @ Serial 57
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