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Gomer Rubio; Wilton Agila |
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Dynamic Modeling of Fuel Cells in a Strategic Context |
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2018 |
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7th International Conference on Renewable Energy Research and Applications, ICRERA 2018. Paris, Francia. |
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gtsi @ user @ |
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86 |
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Author |
Juan C. Basurto, Patricia Chávez and Hernán Córdova |
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Title |
A Proximity-Aware Transparent Handoff Mobility Scheme for VoIP Communication over Infrastructure Mesh Networks |
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2011 |
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International Congress of Electronic, Electrical and Systems Engineering-INTERCON 2011 |
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Wireless Mesh Networks; Quality of Service; Mobility Management; Voice over IP. |
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Mobility Management plays a key role in Voice-over- IP (VoIP) communications over Wireless Mesh Networks (WMN) as clients should maintain adequate levels of Quality of Service (QoS) as they move across the network. This paper presents PATH, a Proximity-Aware Transparent Handoff mobility scheme for real time voice communications over wireless mesh networks. Our study focuses on Medium Access Control (MAC) layer procedures and relies on gratuitous ARP unicasting in order to provide fast-handoffs. An experimental evaluation has been conducted and its results are shown in this paper. |
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English |
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cidis @ cidis @ |
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20 |
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Xavier Soria; Angel D. Sappa |
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Title |
Improving Edge Detection in RGB Images by Adding NIR Channel. |
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2018 |
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14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) |
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95 |
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Xavier Soria; Angel D. Sappa; Riad Hammoud |
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Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018, 18(7), 2059. |
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2018 |
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Multi-spectral RGB-NIR sensors have become ubiquitous in recent years. These sensors allow the visible and near-infrared spectral bands of a given scene to be captured at the same time. With such cameras, the acquired imagery has a compromised RGB color representation due to near-infrared bands (700–1100 nm) cross-talking with the visible bands (400–700 nm). This paper proposes two deep learning-based architectures to recover the full RGB color images, thus removing the NIR information from the visible bands. The proposed approaches directly restore the high-resolution RGB image by means of convolutional neural networks. They are evaluated with several outdoor images; both architectures reach a similar performance when evaluated in different scenarios and using different similarity metrics. Both of them improve the state of the art approaches. |
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96 |
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Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
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Title |
Cross-spectral image dehaze through a dense stacked conditional GAN based approach. |
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2018 |
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14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) |
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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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gtsi @ user @ |
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92 |
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Dennis G. Romero; A. F. Neto; T. F. Bastos; Boris X. Vintimilla |
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Title |
RWE patterns extraction for on-line human action recognition through window-based analysis of invariant moments |
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2012 |
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5th Workshop in applied Robotics and Automation (RoboControl) |
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Human action recognition, Relative Wavelet Energy, Window-based temporal analysis. |
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This paper presents a method for on-line human action recognition on video sequences. An analysis based on Mahalanobis distance is performed to identify the “idle” state, which defines the beginning and end of the person movement, for posterior patterns extraction based on Relative Wavelet Energy from sequences of invariant moments. |
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cidis @ cidis @ |
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23 |
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Dennis G. Romero; A. F. Neto; T. F. Bastos; Boris X. Vintimilla |
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An approach to automatic assistance in physiotherapy based on on-line movement identification. |
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2012 |
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patient rehabilitation, patient treatment, statistical analysis |
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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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IEEE |
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Andean Region International Conference (ANDESCON), 2012 VI |
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cidis @ cidis @ |
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24 |
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Wilton Agila; Victor M. Huilcapi |
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Lógica borrosa para la estimación de estados críticos de una pila de combustible PEM |
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2014 |
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Reconocimientos de Patrones, Control Inteligente y Comunicaciones (MACH 2014) |
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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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Marta Diaz; Dennys Paillacho; Cecilio Angulo |
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Evaluating Group-Robot Interaction in Crowded Public Spaces: A Week-Long Exploratory Study in the Wild with a Humanoid Robot Guiding Visitors Through a Science Museum. |
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2015 |
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International Journal of Humanoid Robotics |
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12 |
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Group-robot interaction; robotic-guide; social navigation; space management; spatial formations; group walking behavior; crowd behavior |
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This paper describes an exploratory study on group interaction with a robot-guide in an open large-scale busy environment. For an entire week a humanoid robot was deployed in the popular Cosmocaixa Science Museum in Barcelona and guided hundreds of people through the museum facilities. The main goal of this experience is to study in the wild the episodes of the robot guiding visitors to a requested destination focusing on the group behavior during displacement. The walking behavior follow-me and the face to face communication in a populated environment are analyzed in terms of guide- visitors interaction, grouping patterns and spatial formations. Results from observational data show that the space configurations spontaneously formed by the robot guide and visitors walking together did not always meet the robot communicative and navigational requirements for successful guidance. Therefore additional verbal and nonverbal prompts must be considered to regulate effectively the walking together and follow-me behaviors. Finally, we discuss lessons learned and recommendations for robot’s spatial behavior in dense crowded scenarios. |
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International Journal of Humanoid Robotics |
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cidis @ cidis @ |
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34 |
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Author |
Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa |
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Cross-spectral image registration and fusion: an evaluation study |
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2015 |
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2nd International Conference on Machine Vision and Machine Learning |
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331 |
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multispectral imaging; image registration; data fusion; infrared and visible spectra |
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This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented. |
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Computer Vision Center |
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Barcelona, Spain |
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English |
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cidis @ cidis @ |
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35 |
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