Person:
Morocho Zurita, Carlos Villie

Birth Date

1972-04-01

ORCID

0000-0002-8196-2644

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador

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)

Last Name

Morocho Zurita

First Name

Carlos Villie

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Now showing 1 - 10 of 13

Implementation of a basic risk guide for interactive digital terrestrial television using learning objects
(Springer Nature, 2021) Morocho Zurita, Carlos Villie; Cárdenas, Paola; Illescas Peña, Lourdes Eugenia; Maza Cordova, Jorge; Achig Balarezo, Rosario
The application “Disaster Risk Management Guide” for interactive Digital Terrestrial Television (iDTT), has been implemented based on the design that considers Learning Objects (LO) adapted to iDTT, where the receiving medium is the television and the main element of interaction is the remote control. The contents were worked on in coordination with the National Service for Risk and Emergency Management (SNGRE by its acronym in Spanish) of Ecuador, an organization that was also in charge of the validation. The implementation process, tests and improvements of the application are detailed, which includes three Learning Objects (LO) and a section with geographic information on emergency alerts in real time, obtained from a map server. Each LO addresses informational and educational topics, as well as a self-assessment for the viewer. The methodology for software development has been incremental, based on constant deliveries and progressive advances. The application has been developed in the Ginga NCL (Nested Context Language)-LUA programming language, and the tests have been carried out in two environments: 1) simulation with Ginga-NCL emulators and 2) using the Set Top Box (STB) EiTV Smartbox receiver equipment. The tests mainly detail the processes carried out to identify the audio and video formats supported in the two environments, the most appropriate options for integrating text in the interfaces, and the solution of problems encountered during the process. Finally, a usability analysis of the application is included with tests carried out in different age groups
Left ventricle myocardium segmentation in multi-slice computerized tomography
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2016-10-19) Bautista Llivisaca, Mateo Sebastian; Morocho Zurita, Carlos Villie; Vanegas Peralta, Pablo Fernando
This paper briefly describes a left ventricle myocardium segmentation method in multi-slice computerized tomography images. The segmentation technique is based on level-sets deformable contours. The proposed method has two stages: in the first stage the left ventricle internal wall or endocardium is segmented. In the second stage the external wall is segmented starting with an initialization based on the endocardial segmented shape. This algorithm is intended for incorporation within a software platform for visualization and processing of cardiac images. This platform would help the diagnosis of the left ventricle hypertrophy (LVH).
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.
Hepatic Steatosis detection using the co-occurrence matrix in tomography and ultrasound images
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2015-09-02) Medina Molina, Ruben; Morocho Zurita, Carlos Villie; Vanegas Peralta, Pablo Fernando
Hepatic Steatosis (HS) or Fatty Liver is a disease due to fat accumulation within hepatocytes. This disease requires treatment to avoid clinical complications such as hepatic inflammation, fibrosis and finally chronic hepatic damage and hepatic carcinoma. An algorithm for performing the manual segmentation was used. A polygon is traced for representing the region of interest in tomography (CT) images as well as in Ultrasound (US) images. These regions are then subdivided in a set of windows of size 4×4. For each of the windows the co-occurrence matrix is estimated as well as several descriptive statistical parameters. From these matrices, 9 descriptive statistical parameters were estimated. A Binary Logistic Regression (BLR) model was fitted considering as dependent variable the presence or absence of the disease and the descriptive statistical parameters as predictor variables. The model attains classification results of HS with a sensibility of 95.45% in US images and 93.75% in CT images in the venous phase.
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 .
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.
Cardiac Motion Estimation in Magnetic Resonance Images Using Optical Flow
(IEEE COMPUTER SOCIETY, 2016-06-01) Medina Molina, Ruben; Morocho Zurita, Carlos Villie; Vanegas Peralta, Pablo Fernando
This paper reports an optical based method for quantification of cardiac motion in MRI images. The cardiac motion is quantified in a Short-Axis (SAX) slice located at the mid-cavity of the left ventricle. In this slice, the left ventricle wall is segmented for extracting the endocardium, the epicardium and the midwall. The velocity field for these contours is available after performing the optical flow estimation for the given slice. Post-processing of this motion field enables estimation of the radial displacement. The core of this cardiac motion quantification method is a sparse based algorithm for optical flow estimation. This algorithm 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 algorithms with better performance are also tested using a 4 D cardiac Magnetic Resonance Image (MRI) sequence. Results show that he sparse algorithm estimates an optical flow field that represents the motion of contraction during the systole interval. Moreover, results about radial displacement estimation on real MRI sequences for a normal subject and a patient with hypertrophy show that the proposed quantification method could be useful for quantification of left ventricle motion.
Virtual Assistants to bring geospatial information closer to a smart citizen
(Institute of Electrical and Electronics Engineers, 2022) Bustamante Ávila, Juan Francisco; Mendieta Zumba, Juan Felipe; Achig Balarezo, Rosario; Morocho Zurita, Carlos Villie
This article presents a proposal for the use of virtual assistants integrated into a Spatial Data Infrastructure (SDI), which will facilitate citizen's access to available resources in creating geospatial information scenarios, without the need for increased knowledge or technical training. The chatbot would also allow access to SDI technology to be transparent to the citizen, allowing access to different map servers at the same time. The scenarios created refer to the main events registered in the National Risk and Emergency Management Service (SNGRE) of the country. The existing information is very data rich insomuch that the ordinary citizen does not know how to access its source. This project takes the initial steps for the integration of various sources of geospatial information with the goal to archive a core of geospatial information for services of City Intelligent. Ideally, this new form of access to geospatial information will also allow decision makers, using natural language, to have additional information to improve territorial planning and land use processes
A Software Platform for Processes-Based Cost Analysis in the Assembly Industry
(Springer, 2019) Sigcha Quezada, Erik Alejandro; Colina Morles, Eliezer Null; Morocho Zurita, Carlos Villie; Sigüenza Guzmán, Lorena Catalina; Morocho Zurita, Carlos Villie
Processes and resources management are important current discussions related to decision making in the industrial field. This fact motivates companies to search for management models to improve their processes and services continuously. In order to achieve this purpose, approaches such as Business Process Management (BPM) and Time-Driven Activity-based Costing (TDABC) are used as bases for models design. This article describes the validation process of a software platform constructed using Business Process Model and Notation (BPMN) and TDABC paradigms aimed at analyzing processes costs in assembly companies. This work contemplates a description of the methodologies applied, functionalities implemented and validations steps performed. The platform also serves to generate process diagnosis in assembly companies prior to full BPM implementation.
Mathematical modeling to standardize times in assembly processes: application to four case studies
(2021) Colina Morles, Eliezer Null; Peña Ortega, Mario Patricio; Morocho Zurita, Carlos Villie; Sigüenza Guzmán, Lorena Catalina
Purpose: This paper proposes model-based standard times estimates, using multiple linear regression, nonlinear optimization, and fuzzy systems in four real cases assembly lines. The work includes a description of the models and a comparison of their performance with values obtained using the conventional chronometer method. These models allow estimating standard times without reconducting field studies. Design/methodology/approach: For the development of the time study, the methodology applied by the International Labour Organization (ILO) was used as a baseline. This methodology is structured in three phases: selection of the case study, registration of the process by direct observation, and calculation/estimation of the standard time. The selected case studies belong to real assembly lines of motorcycles, television sets, printed circuit boards, and bicycles. Findings: In the motorcycle’s assembly case, the study allowed constructing seven linear regression models to estimate standard times for assembling the front parts, and seven linear regression models to predict standard times for the rear parts of the different motorcycle types. Compared to the classical chronometer method, the results obtained never exceeded 10%. Regarding the case studies of assembling TV sets and PCBs, the study considered the construction of nonlinear optimization models that allow making appropriate predictions of the standard times in their assembly lines. Finally, for the bicycle assembly line, a fuzzy logic model to represent the standard time was constructed and validated. Research limitations/implications: For reasons of confidentiality of information, this work omitted the names of companies, services, and models of manufactured products. Originality/value: The literature consulted does not refer to the representation of standard time on assembly lines using mathematical models. The construction of these models with empirical data from actual assembly lines was a valuable aid to the companies involved in supporting activity planning.