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Author |
Patricia Suarez Riofrio & Angel D. Sappa |
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Title |
Thermal Image Synthesis: Bridging the Gap between Visible and Infrared Spectrum |
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2024 |
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Accepted in 19th International Symposium on Visual Computing 2024 |
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cidis @ cidis @ |
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253 |
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Author |
Marjorie Chalen; Boris X. Vintimilla |
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Title |
Towards Action Prediction Applying Deep Learning |
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Journal Article |
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2019 |
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Latin American Conference on Computational Intelligence (LA-CCI); Guayaquil, Ecuador; 11-15 Noviembre 2019 |
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pp. 1-3 |
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action prediction, early recognition, early detec- tion, action anticipation, cnn, deep learning, rnn, lstm. |
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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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no |
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cidis @ cidis @ |
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129 |
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Author |
Jacome-Galarza L.-R |
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Title |
Crop yield prediction utilizing multimodal deep learning |
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Conference Article |
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2021 |
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16th Iberian Conference on Information Systems and Technologies, CISTI 2021, junio 23 – 26, 2021 |
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Agricultura de precisión; sensores remotos; aprendizaje profundo multimodal; IoT; agentes inteligentes; computación aplicada. |
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La agricultura de precisión es una práctica vital para
mejorar la producción de cosechas. El presente trabajo tiene
como objetivo desarrollar un modelo multimodal de aprendizaje
profundo que es capaz de producir un mapa de salud de
cosechas. El modelo recibe como entradas imágenes multiespectrales
y datos de sensores de campo (humedad,
temperatura, estado del suelo, etc.) y crea un mapa de
rendimiento de la cosecha. La utilización de datos multimodales
tiene como finalidad extraer patrones ocultos del estado de salud
de las cosechas y de esta manera obtener mejores resultados que
los obtenidos mediante los índices de vegetación. |
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Español |
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cidis @ cidis @ |
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150 |
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Author |
M. Oliveira; L. Seabra Lopes; G. Hyun Lim; S. Hamidreza Kasaei; Angel D. Sappa; A. Tomé |
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Title |
Concurrent Learning of Visual Codebooks and Object Categories in Open- ended Domains |
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Conference Article |
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2015 |
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Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, Hamburg, Germany, 2015 |
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2488 - 2495 |
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Birds, Training, Legged locomotion, Visualization, Histograms, Object recognition, Gaussian mixture model |
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In open-ended domains, robots must continuously learn new object categories. When the training sets are created offline, it is not possible to ensure their representativeness with respect to the object categories and features the system will find when operating online. In the Bag of Words model, visual codebooks are usually constructed from training sets created offline. This might lead to non-discriminative visual words and, as a consequence, to poor recognition performance. This paper proposes a visual object recognition system which concurrently learns in an incremental and online fashion both the visual object category representations as well as the codebook words used to encode them. The codebook is defined using Gaussian Mixture Models which are updated using new object views. The approach contains similarities with the human visual object recognition system: evidence suggests that the development of recognition capabilities occurs on multiple levels and is sustained over large periods of time. Results show that the proposed system with concurrent learning of object categories and codebooks is capable of learning more categories, requiring less examples, and with similar accuracies, when compared to the classical Bag of Words approach using codebooks constructed offline. |
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IEEE |
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Hamburg, Germany |
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English |
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English |
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2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
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no |
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Call Number |
cidis @ cidis @ |
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41 |
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Author |
Carlos Monsalve; Alain April; Alain Abran |
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Title |
Requirements Elicitation Using BPM Notations: Focusing on the Strategic Level Representation |
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Conference Article |
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2011 |
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10th WSEAS international conference on Applied computer and applied computational science |
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235-241 |
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Business process modeling, levels of abstraction, requirements elicitation, case study, action research |
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Business process models (BPM) can be useful for requirements elicitation, among other uses. Since the active participation of all stakeholders is a key factor for successful requirements engineering, it is important that BPM be shared by all stakeholders. Unfortunately, organizations may end up with inconsistent BPM not covering all stakeholders’ needs and constraints. The use of multiple levels of abstraction (MLA), such as at the strategic, tactical and operational levels, is often used in various process-oriented initiatives to facilitate the consolidation of various stakeholders’ needs and constraints. This article surveys the use of MLA in recent BPM research publications and reports on a BPM action-research case study conducted in a Canadian organization, with the aim of exploring the usefulness of the strategic level. |
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CIDIS – Electrical and Computer Engineering Department Escuela Superior Politécnica del Litoral Km. 30.5 vía Perimetral |
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1100 rue Notre-Dame Ouest, Montréal, Québec H3C 1K3 CANADA |
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English |
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no |
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cidis @ cidis @ |
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16 |
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Author |
Carlos Monsalve; Alain April; Alain Abran |
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Title |
BPM and requirements elicitation at multiple levels of abstraction: A review |
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Conference Article |
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2011 |
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IADIS International Conference on Information Systems 2011 |
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237-242 |
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Business process modeling, levels of abstraction, requirements elicitation, requirements modeling, review |
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Business process models can be useful for requirements elicitation, among other things. Software development depends on the quality of the requirements elicitation activities, and so adequately modeling business processes (BPs) is critical. A key factor in achieving this is the active participation of all the stakeholders in the development of a shared vision of BPs.
Unfortunately, organizations often find themselves left with inconsistent BPs that do not cover all the stakeholders’ needs
and constraints. However, consolidation of the various stakeholder requirements may be facilitated through the use of multiple levels of abstraction (MLA). This article contributes to the research into MLA use in business process modeling (BPM) for software requirements by reviewing the theoretical foundations of MLA and their use in various BP-oriented approaches. |
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CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL) Km. 30.5 vía Perimetral, |
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cidis @ cidis @ |
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15 |
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Author |
Wilton Agila; Victor M. Huilcapi |
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Title |
Lógica borrosa para la estimación de estados críticos de una pila de combustible PEM |
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Conference Article |
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2014 |
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Reconocimientos de Patrones, Control Inteligente y Comunicaciones (MACH 2014) |
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5 |
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Caracterización de pilas de combustible PEM, estado de inundación y deshidratación de la membrana polimérica, árbol de decisión borroso, control, lógica difusa |
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La determinación en tiempo real de los estados críticos de operación de la pila de combustible de membrana intercambio protónico (siglas en ingles, PEM) es uno de los principales retos para los sistemas de control de pilas de combustible PEM. En este trabajo, se presenta el desarrollo e implementación de un método no invasivo de bajo coste basado en técnicas de decisión borrosa que permite estimar los estados críticos de operación de la pila de combustible PEM. La estimación se realiza mediante perturbaciones al estado de operación de la pila y el análisis posterior de la evolución temporal del voltaje generado por la pila. La implementación de esta técnica de estimulación-percepción de estado de la pila de combustible para la detección de estados críticos constituye una novedad y un paso hacia el control autónomo en óptimas condiciones de la operación de las pilas de combustible PEM. |
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Universidad de Cuenca |
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Español |
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Español |
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cidis @ cidis @ |
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31 |
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Author |
Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa |
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Title |
Feature Point Descriptors: Infrared and Visible Spectra |
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2014 |
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Sensors Journal |
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Vol. 14 |
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pp. 3690-3701 |
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cross-spectral imaging; feature point descriptors |
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This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. |
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English |
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no |
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cidis @ cidis @ |
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28 |
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Author |
N. Onkarappa; Cristhian A. Aguilera; B. X. Vintimilla; Angel D. Sappa |
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Title |
Cross-spectral Stereo Correspondence using Dense Flow Fields |
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Conference Article |
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2014 |
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Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 |
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3 |
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613 - 617 |
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Cross-spectral Stereo Correspondence, Dense Optical Flow, Infrared and Visible Spectrum |
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This manuscript addresses the cross-spectral stereo correspondence problem. It proposes the usage of a dense flow field based representation instead of the original cross-spectral images, which have a low correlation. In this way, working in the flow field space, classical cost functions can be used as similarity measures. Preliminary experimental results on urban environments have been obtained showing the validity of the proposed approach. |
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IEEE |
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English |
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2014 International Conference on Computer Vision Theory and Applications (VISAPP) |
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cidis @ cidis @ |
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27 |
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Author |
A. Amato; F. Lumbreras; Angel D. Sappa |
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Title |
A general-purpose crowdsourcing platform for mobile devices |
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Conference Article |
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2014 |
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Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 |
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3 |
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211-215 |
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Crowdsourcing Platform, Mobile Crowdsourcing |
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This paper presents details of a general purpose micro-taskon-demand platform based on the crowdsourcing philosophy. This platformwas specifically developed for mobile devices in order to exploit the strengths of such devices; namely: i) massivity, ii) ubiquityand iii) embedded sensors.The combined use of mobile platforms and the crowdsourcing model allows to tackle from the simplest to the most complex tasks.Users experience is the highlighted feature of this platform (this fact is extended to both task-proposer and task- solver).Proper tools according with a specific task are provided to a task-solver in order to perform his/her job in a simpler, faster and appealing way.Moreover, a task can be easily submitted by just selecting predefined templates, which cover a wide range of possible applications.Examples of its usage in computer vision and computer games are provided illustrating the potentiality of the platform. |
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IEEE |
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Lisbon, Portugal |
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English |
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English |
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Computer Vision Theory and Applications (VISAPP), 2014 International Conference on |
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cidis @ cidis @ |
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25 |
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