Person:
Vanegas Peralta, Pablo Fernando

Birth Date

1972-05-28

ORCID

0000-0003-3418-7670

Scopus Author ID

25522712400

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Espacio y Población, Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ciencias Químicas, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador
KU Leuven (Katholieke Universiteit Leuven), Leuven, Bélgica

País

Ecuador

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

Profesor (T)
Rector de la Universidad de Cuenca (2016 - 2021)
Decano de la Facultad de Ingeniería de la Universidad de Cuenca
Subdecano de la Facultad de Ingeniería de la Universidad de Cuenca
Vicerrector de Investigación y Posgrado en la Escuela Superior Politécnica de Chimborazo (ESPOCH) (2021 - )

Last Name

Vanegas Peralta

First Name

Pablo Fernando

Full item page

Search Results

Now showing 1 - 10 of 24

Level set algorithms comparison for multi-slice CT left ventricle segmentation
(SPIE, 2015-11-17) Medina Molina, Ruben; La Cruz Puente Alexandra; Morocho Zurita, Carlos Villie; Ordoñes, A; Pesántez, D; Vanegas Peralta, Pablo Fernando
The comparison of several Level Set algorithms is performed with respect to 2D left ventricle segmentation in Multi-Slice CT images. Five algorithms are compared by calculating the Dice coefficient between the resulting segmentation contour and a reference contour traced by a cardiologist. The algorithms are also tested on images contaminated with Gaussian noise for several values of PSNR. Additionally an algorithm for providing the initialization shape is proposed. This algorithm is based on a combination of mathematical morphology tools with watershed and region growing algorithms. Results on the set of test images are promising and suggest the extension to 3{D MSCT database segmentation.
The design of a flexible bus line plan
(2022) Vanegas Peralta, Pablo Fernando; Vansteenwegen, Pieter; Ávila Ordóñez, Elina María; Tampére, Chris
A conventional bus service has a line plan that consists of a set of lines with fixed routes designed to operate under normal conditions. Thus, the performance of the service depends on how stable those conditions are. This paper extends the traditional concept of a line plan to provide a high-quality service, even in case of announced events. We introduce the concept of a Flexible Line Plan where some of the usual lines are replaced with alternative lines that improve the service when the conditions change. Adaptations should only be made to a subset of the lines, ensuring that the changes minimize the inconvenience for the regular passengers and, at the same time, improve the total travel time. In this study, we present a heuristic called Alternative Line Heuristic (ALH), based on Genetic Algorithms, which automatically designs these alternative lines in a three-step process. The results of this approach are tested on both benchmark and real-sized networks and clearly show how our approach contributes to improving the bus service performance.
Aplicación de servicios web estándares para el monitoreo hidrometeorológico automático, integrando información de sensores diversos mediante ontologías
(2018) Veintimilla Reyes, Jaime Eduardo; Vanegas Peralta, Pablo Fernando; Estrella Maldonado, René Gustavo
The last developments in worldwide technology and the continuous growth in telecommunications have resulted in the requirement to make available the information generated by a number of devices, especially for those that incorporate sensors, with the goal of reacting to any relevant events that could occur. The latest advances in this area have resulted in the development of several devices with heterogeneous types and from different vendors. This paper presents a proposal for an architecture that integrates several standard web services for the compilation, organization and storage of the information generated by a network of hydrometeorology sensors. Likewise, the paper proposes the application of standard services for controlling remotely these sensors and for managing events and generating early warnings. The aforementioned web services are some examples of the set of services that form the Sensor Web Enablement standard. Considering the diversity, both in type and vendor, that is typically found among the stations and sensors in a hydrometeorology monitoring network, this paper additionally proposes the application of ontologies with the goal of homogenizing and integrating the information coming from this diverse infrastructure.
ECG Multilead QT interval estimation using support vector machines
(2019) Dugarte, Nelson; Medina, Ruben; Cuadrado, Jhosmary; Morocho Zurita, Carlos Villie; Vanegas Peralta, Pablo Fernando
This work reports a multilead QT interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including QRS detection as well as an accurate multilead QT interval detection algorithm using support vector machines (SVMs). Two fiducial points ( and ) are estimated using the SVM algorithm on each incoming beat. This enables segmentation of the current beat for obtaining the P, QRS, and T waves. The QT interval is estimated by updating the QT interval on each lead, considering shifting techniques with respect to a valid beat template. The validation of the QT interval measurement algorithm is attained using the Physionet PTB diagnostic ECG database showing a percent error of with respect to the database annotations. The usefulness of this software tool is also tested by considering the analysis of the ECG signals for a group of 60 patients acquired using our digital electrocardiograph. In this case, the validation is performed by comparing the estimated QT interval with respect to the estimation obtained using the Cardiosoft software providing a percent error of .
Artificial neural networks applied to flow prediction: A use case for the Tomebamba river
(Elsevier Ltd, 2016) Veintimilla Reyes, Jaime Eduardo; Cisneros Espinoza, Felipe Eduardo ; Vanegas Peralta, Pablo Fernando; Veintimilla Reyes, Jaime Eduardo
The main aim of this research is to create a model based on Artificial Neural Networks (ANN) that allows predicting the flow in Tomebamba river, at real time and in a specific day of a year. As inputs, this research is using information of rainfall and flow of the stations along of the river. This information is organized in scenarios and each scenario is prepared to a specific area. For this article, we have selected two scenarios. The information is acquired from the hydrological stations placed in the watershed using an electronic system developed at real time and it supports any kind or brands of this type of sensors. The prediction works very good three days in advance. This research includes two ANN models: Backpropagation and a hybrid model between back propagation and OWO-HWO (output weight optimization–hidden weight optimization) to select the initial weights of the connection. These last two models have been tested in a preliminary research. To validate the results we are using some error indicators such as MSE, RMSE, EF, CD and BIAS. The results of this research reached high levels of reliability and the level of error is minimal. These predictions are useful to avoid floods in the city of Cuenca in Ecuador.
Compactness and flow minimization requirements in reforestation initiatives: A heuristic solution method
(KLUWER ACADEMIC PUBLISHERS, 2014-01-01) Vanegas Peralta, Pablo Fernando; Wijffels Anja, Louisa María
A heuristic solution method to identify a predefined number of cells in raster maps optimizing both multiple intrinsic cell characteristics and cell patch compactness (Vanegas et al. in Lect. Notes Comput. Sci. 5072:389-404, 2008), is extended so that also spatial interaction is taken into account. Spatial interaction is e.g., present in the flow of sediment between cells in a rasterised watershed as modified by the presence or absence of tree cover in a given cell. The resulting HLC-method is elaborated and tested in the context of a site location problem for reforestation in which the following criteria are considered: (1) the sediment flow reaching the outlet of the watershed is minimized, (2) two intrinsic environmental performances of the cells are maximized/minimized, and (3) the selected cells form a compact patch. To evaluate the performance of the HLC, its results are compared to the ones obtained with an Integer Programming (IP) formulation. This comparison suggests that the HLC identifies high quality, near-to-optimal patches of cells and that its computational efficiency makes it applicable to regional sized cases. © 2011 Springer Science+Business Media, LLC.
Optical Flow as a Tool for Cardiac Motion Estimation
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2015-07-14) Medina Molina, Ruben; Morocho Zurita, Carlos Villie; Vanegas Peralta, Pablo Fernando
A sparse based algorithm for optical flow estimation is presented and compared with several classical optical flow estimation algorithms. The comparison is performed using several video sequences available from the Middlebury benchmark where the ground truth optical flow is known. The sparse algorithm attains competitive results with average angular errors as low as 2.09° and average magnitude errors as low as 0.100. The algorithms are also tested using a 4 - D cardiac Magnetic Resonance Image (MRI) sequence. The sparse algorithm estimates an optical flow field that represents the motion of contraction during the systole interval.
Energy self-supply estimation in intermediate cities
(2020) Barragán Escandón, Edgar Antonio; Zalamea León, Esteban Felipe; Vanegas Peralta, Pablo Fernando
© 2020 Elsevier Ltd Cities are responsible for more than three quarters of greenhouse gas emissions due to their intensive use of fossil resources. Hence, proposals to modify the current urban energy model have been established. The comprehensive inclusion of renewable energies in the urban area of the intermediate city of Cuenca will be analysed. In previous studies, it was established that five renewable technologies have the greatest opportunities for implementation in the city. Therefore, this research proposes a methodological approach to establish the impact of the inclusion of each of these technologies, and the Long-range Energy Alternative Planning (LEAP) model is used to establish the urban energy balance. Through the construction of scenarios and the evaluation of energy balances, it is concluded that it is possible to reduce the energy flows that enter the city by applying these five energy sources. The results indicate a self-supply potential of up to 33.9% of the total urban consumption; however, due to the type of local energy matrix, only 13% of this energy could be consumed under current conditions, and the remained would be surplus power. Photovoltaic (PV) technology has a significantly higher potential than the other technologies as it exceeds the electricity demand 3.19-fold. The conclusion is that the conversion of currently fuel-powered services to electrical power is necessary to maximize clean self-generation.
Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
(2012) Vanegas Peralta, Pablo Fernando
Policy and decision makers dealing with environmental conservation and land use planning often require identifying potential sites for contributing to minimize sediment flow reaching riverbeds. This is the case of reforestation initiatives, which can have sediment flow minimization among their objectives. This paper proposes an Integer Programming (IP) formulation and a Heuristic solution method for selecting a predefined number of locations to be reforested in order to minimize sediment load at a given outlet in a watershed. Although the core structure of both methods can be applied for different sorts of flow, the formulations are targeted to minimization of sediment delivery. The proposed approaches make use of a Single Flow Direction (SFD) raster map covering the watershed in order to construct a tree structure so that the outlet cell corresponds to the root node in the tree. The results obtained with both approaches are in agreement with expert assessments of erosion levels, slopes and distances to the riverbeds, which in turn allows concluding that this approach is suitable for minimizing sediment flow. Since the results obtained with the IP formulation are the same as the ones obtained with the Heuristic approach, an optimality proof is included in the present work. Taking into consideration that the heuristic requires much less computation time, this solution method is more suitable to be applied in large sized problems.
Peak control current in boundary conduction mode and discontinuous conduction mode for inverter with flyback topology
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2015-06-02) Sempertegui Alvarez, Rodrigo Efrain; Vanegas Peralta, Pablo Fernando
This paper proposes a hybrid control scheme peak current, applied to a single-phase micro inverter with flyback topology coupled to a LC filter, the proposed scheme allows the inverter to operate by boundary conduction mode when the output current exceeds a predetermined value. Otherwise, it operates in the discontinuous conduction mode, limiting the switching frequency. To set the control system in both modes of operation, the inverter is identified by averaging the model state and small signal, the control scheme used, presents a classic PI control and is tuned by pole placement. The proposed control scheme is verified through computer simulation.