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

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.
Integrating corporate social responsibility and quality management into the TDABC costing system: a case study in the assembly industry
(2022) Vedernikova Null, Olga Null; Morocho Zurita, Carlos Villie; Sigcha Quezada, Erik Alejandro; Segarra Tapia, Silvia Lorena; Sigüenza Guzmán, Lorena Catalina
Purpose – This paper aims to show the potential of time-driven activity-based costing (TDABC) to value and integrate corporate social responsibility (CSR) and quality management (QM) processes in the assembly industry. It provides valuable insights about operational processes, sub-process, and activities within assembly companies by using TDABC’s time equations with more accurate costs for the decision-making process. Design/methodology/approach – The current paper proposes a new methodology framework with four QM and CSR implementation levels and several costing scenarios through the TDABC system. The valuation was built based on the activities of essential referents in each subject, such as ISO, Ethos Institute, and electrostatic discharge control programs. To this end, a case study in the assembly industry processes was conducted with data from a TV assembler. Findings – The results highlight that TDABC can be extended to perform a cost analysis with QM and CSR processes. The environmental management and occupational safety and health administration processes were considered part of CSR to do so. Consequently, managers can simulate the cost and impact of incorporating CSR and QMin assembly processes and thus decide the implementation degree and its corresponding planning according to the needs and available resources. In this particular case, the company increases a maximum of 12% of its resources to be socially responsible and manage its products’ quality. Originality/value – Although theoretical models on CSR have been developed, the current study provides a practical framework based on TDABC scenarios that enterprises can easily implement to support and evaluate QM and CSR processes.
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.
Análisis y diseño de un software de gestión de procesos y costos en empresas de ensamblaje
(2018) Merchán, Eduardo; Sigcha Quezada, Erik Alejandro; Morocho Zurita, Carlos Villie; Cabrera Encalada, Paúl Romeo; Sigüenza Guzmán, Lorena Catalina
The management of strategic processes is primordial to ensure the development of any industry and is especially important given the competitive climate that every business faces while they aim to minimize costs and maximize profits. Unfortunately, the success of it is constantly impacted by internal and external factors, which affects the ability of these processes. The research pursued two primary objectives, it is to advance the knowledge of strategic and cost management processes. First, the article presents the analysis and design of a software that supports cost management and the assembly of processes using the Time Driven Activity Based Costing (TDABC). Secondly, it is argued if the development of the platform would permit to overcome some of the limitations that hindered TDABC over the years. To reach both objectives, the article provides first a theoretical framework that describes the main existing costing systems. Next, the analysis and design of an application using agile methodologies is discussed. The development of the software demonstrates an evolution coming from past experiences and lessons learned with a TDABC prototype that was used for the management of strategic processes in libraries. Further, the discussion section presents an interpretation on the main implications of using the information system as support in cost management and the assembly of processes. The article concludes by summarizing the most important conclusions from the conducted analysis.
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).
Towards the Implementation of a software platform based on BPMN and TDABC for strategic management
(Springer, 2019) Sigcha Quezada, Erik Alejandro; Morocho Zurita, Carlos Villie; Sigüenza Guzmán, Lorena Catalina
The strategic management of resources and processes has become a key element to enable industries to achieve their goals of minimising costs and maximising profits. Business Process Management (BPM) and Time-Driven Activity-Based Costing (TDABC) are two important tools that allow business managers to identify both activities performed and resources used within a company. Therefore, taking advantage of the integration of these tools may result in a deeper analysis of the state of a company. This paper presents the development of a platform for integrating Business Process Management Notation (BPMN), to represent and store process flows, and TDABC, to obtain an estimation of their associated costs. To achieve this aim, the study reviews some methodologies used for modelling costing-oriented processes and for estimating process costs. The resulting software is a tool to support the first three phases of the BPM lifecycle, i.e., process identification, discovery and analysis, and the TDABC calculations.
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.
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 .
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.