Browsing by Author "Morocho Zurita, Carlos Villie"

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A scoping review on the use, processing and fusion of geographic data in virtual assistants
(2021) Achig Balarezo, Rosario
Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial-related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains.
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.
Accuracy of connected confidence left ventricle segmentation in 3-D multi-slice computerized tomography images
(Institute of Electrical and Electronics Engineers Inc., 2018) Medina, Rubén; Bautista Llivisaca, Mateo Sebastian; Morocho Zurita, Carlos Villie; Bautista Llivisaca, Mateo Sebastian
Cardiovascular diseases are the main cause of death in the World. This fact has motivated different actions for prevention, diagnosis and monitoring of cardiovascular diseases. In this work, the accuracy of a connected confidence left ventricle segmentation method is performed. This task is accomplished using a software platform for left ventricle segmentation of 3-D cardiac Multi-Slice Computerized Tomography (MSCT) images that is also described. The software platform has as a goal performing research about efficient methods for cardiac image segmentation and quantification. The accuracy assessment of the segmentation method is performed by comparing the estimated segmentation with respect to segmentations manually traced by cardiologists. Results show that the segmentation method provides Dice Similarity coefficients higher than 0.90 with low computational cost. The obtained segmentation is able to include within the left ventricular lumen the papillary trabeculae muscles, enabling further accurate estimation of the left ventricular mass.
Análisis comparativo sobre destacados modelos y marcos de madurez en la transformación digital, con sus respectivos campos de acción
(Universidad de Cuenca, 2021-05-21) Reyes Coellar, Juan Francisco; Morocho Zurita, Carlos Villie
Análisis y diseño de software en la aplicación de TDABC para el sector productivo mediante el uso de metodologías ágiles
(2018) Merchán Sempértegui, Eduardo Patricio; Morocho Zurita, Carlos Villie; Sigüenza Guzmán, Lorena Catalina
Cost management and strategic process management are indispensable tools today in the development of industries given their direct impact on the objectives of every company, among the most important, minimizing costs and maximizing profits. On one hand, cost management helps to ensure that inputs are being used in an efficient way, along with the strategic management of the processes, which provides the necessary guidelines to improve business management. A cost system is critical to provide us with adequate, accurate and detailed information for better decision making in businesses. This article presents the analysis and design of a software that serves to manage cost management and assembly processes using the ¨Time Driven Activity Based Costing¨ (TDABC) system. This study supports the academic field by using agile methodologies to verify if the development of the platform allows its clients to overcome limitations of TDABC, while simultaneously accentuating its advantages. First, a theoretical framework is established that focuses on presenting the main costing systems and existing agile development methodologies. Next, the study reviews the current state of business in order to assess the the components of analysis and design that are essential for the development of a software that aligns with agile methodologies. Lastly, this article explores the evolution of past experiences with a TDABC prototype that was designed for libraries in order to assess its appropriateness for production companies. This article concludes by arguing the groundbreaking role of the software which promotes the advantages of managing TDABC, while also preventing and limiting the downfalls of the methodology.
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.
Analysis of thermographic patterns using open CV: Case study: A clinker kiln
(SCITEPRESS, 2015-07-21) Morocho Zurita, Carlos Villie; Bautista Llivisaca, Mateo Sebastián; Colina Morles, Eliezer; Falconí Abad, Mara Ximena
The core of the cement production process is the clinker kiln. Proper operation of the kiln depends on factors such as the timely monitoring of its thermal behavior under different operation conditions. This work includes a systematization of empirical knowledge of skilled kiln operators, linking it with the analysis of thermography images of the kiln using Open CV. The paper includes an integration of interventions implemented by the operators, in terms of a log described in natural language. The work highlights potential uses of the knowledge of experienced operators, when this is combined with techniques based on image analysis and artificial intelligence.
Applying maturity models in organizations for digital transformation: a comparative study
(Springer, Singapur, 2022) Reyes Coellar, Juan Francisco; Morocho Zurita, Carlos Villie; Cedillo Orellana, Irene Priscila
Digital transformation and maturity models are being used by organizations, consulting providers, and academia. The objectives that maturity models pursue are optimizing and using technological functionalities and measuring the degree of maturity in defining an implementation path. These models allow the identification of dimensions that an organization needs to follow toward greater digital maturity. This paper presents the most relevant features that consider several maturity models developed from different sources and have been applied in the last ten years. Also, it is focused on reporting studies indexed in Scopus that consider case studies related to research performed around the world. Therefore, this study’s primary goal is to provide a tool to guide information technology personnel during digital transformation processes. Moreover, surveys have been applied in several local companies to evaluate their involvement and assess the models’ dimensions during a transformation process. Finally, the interpretation of a real implementation process has been carried out where several dimensions of the model are evaluated to verify its validity and subsequent analysis.
Building a gold standard dataset to identify articles about geographic information science
(2022) Morocho Zurita, Carlos Villie
To know the overall regional or international scientific production is of vital importance to many areas of knowledge. Nevertheless, in interdisciplinary areas such as Geographic Information Science (GISc) it is not enough to just count papers published in specific journals. Most of them, as is the case of the International Journal of Remote Sensing (IJRS), welcome GISc papers but are not exclusive to that area so the production assignable to authors in the region must consider not only affiliation but also whether or not each paper falls into the theme of GISc. IJRS publishes far more papers than any other GISc journal, so it is important to assess quantitatively how many of them are of GISc. In this work, a representative sample of IJRS articles published over a period of almost 30 years was analyzed using a specific GISc definition. With these data, a manual classification methodology through a set of experts was carried out, and a dataset was built, analyzed, and statistically tested. As a result we estimate that between 47 and 76% of the IJRS articles can be considered from GISc, with a confidence level of 95%. Aside from the primary goal, this set could be used as a gold standard for future classification tasks. It constitutes the first GISc dataset of this kind, that may be used to train artificial intelligence systems capable of performing the same classification automatically and in a massive way. A similar procedure could be applied to other interdisciplinary fields of knowledge as well.
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.
Conformando un sistema de información subnacional para modelado territorial: caso Ecuador
(2020) Pinos Veintimilla, Gabriela Alexandra; Morocho Zurita, Carlos Villie; Vivanco Cruz, Lorena Regina; Pacurucu Cáceres, Natalia Elizabeth
The creation of knowledge based on geo-information sources generates different visions. This can be achieved by the indisputable contribution of technology platforms. These platforms connect sources and users and allows the realization of various activities. However, this necessary symbiosis between technology and interpretation is not easy. The developed platform of the Virtual Laboratory of City and Territory (LaVCiTe) - based on open source software - contributes to the strengthening of this symbiosis by semi-automated generation of territorial and urban models, so that users without knowledge in Geographic Information Systems (GIS)can the tools. The LaVCiTe platform does not only geo-process information but also integrates necessary sources for the generation of territorial models. As such, it facilitates the development towards a subnational-level territorial information system. The platform offers the Decentralized Autonomous Governments (GAD), planning agencies and citizens a tool that facilitates the management of information, the generation of new knowledge and alternatives understanding the city and territory, and democratizing the use and access to official information.
Cosechador de metadatos en servidores de mapas para mejorar las búsquedas sobre la infraestructura de datos espaciales de la Universidad de Cuenca
(Universidad de Cuenca, 2024-02-22) Flores Pacheco, Jhon Jairo; Encalada Ulloa, Jorge Enrique; Morocho Zurita, Carlos Villie
In recent years, the use of geospatial data has experienced a sudden growth, becoming a determining factor in decision-making across a wide range of sectors. Geospatial information, originating from various sources such as remote sensors, GPS, and geographic information tools, has seen extensive use in various environmental, urban, and other areas, capable of providing a profound understanding of the surrounding environment. The quality of geospatial information largely depends on accurate and comprehensive metadata, which are essential for its retrieval and organization. Spatial Data Infrastructures (SDIs) facilitate access to geospatial information through web environments; the UCuenca SDI offers services such as web maps, interactive map visualization, and layer management. Considering that inadequate metadata management can lead to the loss of relevant data and hinder information exchange, this thesis project proposes a metadata harvester to enhance the UCuenca SDI, centralizing geographic information, improving its services, and seeking to facilitate decision-making in urban planning and other sectors. Finally, to provide guidance to future readers and facilitate its implementation in other contexts, a Best Practices document was developed for the implementation of a geospatial metadata harvester with GeoNetwork.
Democratizar el acceso y uso de la información como mecanismo de transparencia para los procesos de planificación territorial
(Universidad de Cuenca, 2020) Morocho Zurita, Carlos Villie; Lucero Quezada, Adriana Elizabeth; Astudillo Llerena, Johnatan Fabricio; Calderón Villavicencio, Adrián Mauricio; Vivanco Cruz, Lorena Regina; Pacurucu Cáceres, Natalia Elizabeth
La información territorial es un recurso clave para la planificación, sin embargo, esta no siempre está disponible y actualizada. En Ecuador, es frecuente que los Gobiernos Autónomos Descentralizados, las instituciones y la ciudadanía en general no puedan acceder a información oportuna y homogénea, dificultando así los procesos de planificación. En este trabajo se expone por qué la gestión de la información territorial necesaria y cómo la tecnología ayuda en este objetivo. Como una buena práctica se ha descrito el trabajo que ha desarrollado el Laboratorio Virtual de Ciudad y Territorio(LaVCiTe).
Desarrollo de un asistente virtual conversacional para la capacitación en auto muestreo y detección del VPH
(Universidad de Cuenca, 2025-09-25) Ordóñez Crespo, Christian Stalin; Morocho Zurita, Carlos Villie
Cervical cancer (CC), mainly caused by Human Papillomavirus (HPV), is one of the leading causes of death among women, particularly in rural areas with limited access to healthcare. HPV self-sampling is an effective and accepted alternative, but its adoption faces barriers such as lack of information and guidance. This thesis presents the development of a conversational Virtual Assistant (VA) integrated into an Android mobile app to educate women aged 30 to 65 about self-sampling and sexual and reproductive health. The VA combines a chatbot built with the Rasa framework and a large language model (LLM) to handle queries outside the trained dataset. A dataset of 212 validated question-answer pairs was created, incorporating colloquial language from the target population. Initially, a local LLM was implemented for offline use, but due to performance issues and app size, it was replaced with a rule-based chatbot. Laboratory and final usability tests with women from Baños parish showed high acceptance, with users highlighting the system's clarity, usefulness, and ease of use. The System Usability Scale (SUS) questionnaire yielded an average score of 90.6/100, indicating excellent usability. Overall, the developed system proves to be a viable solution for improving access to reliable medical information in rural settings.
Design of a Supervisory Control System for a Clinker Kiln Operation
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2015-07-14) Colina Morles, Eliezer; Falconí Abad, Mara Ximena; Medina, J; Morocho Zurita, Carlos Villie
The Clinker kiln is the core of the cement production process, which is a heavy infrastructure, where a mixture of limestone and clay undergoes physical and chemical transformations at high temperatures. The process has a very complex non-linear behavior, which hinders its control automatically. This article presents the design of a fuzzy logic-based supervisory system for control tasks upon the Clinker kiln operation [1]. The proposed supervisory system, which has been tested offline in an industrial kiln, uses process variables as the temperature in the burning area, the percentage of oxygen and the back-end temperature, to take appropriate control actions to face operating kiln conditions. The considered control variables in the design are the fuel flow to the burner, the air fan speed and the kiln rotational speed. As a result, the supervisory control system tests showed an improvement in kiln stability and clinker production.
Digital identity proposal for unified medical record using blockchain technology
(IEEE, 2021) Peralta Velecela, Daniel Fabricio; Caceres Salamea, Maria Caridad; Morocho Zurita, Carlos Villie
This article describes the architecture of a Blockchain subsystem to manage access through Digital Identity to the Electronic Medical Record of patients. During this work, the agile programming methodology focused on Blockchain by Marchesi et al. [1], was followed. Therefore, the development of the work was divided into a section for the programming of the Blockchain network and another section for the development of the part of user interfaces. The Hyperledger Fabric framework was used to set up the Blockchain network due to its focus on Digital Identity management. In addition, the graphical interface in React was developed to allow communication with users. The whole development had a modular approach, where three modules are worked in both sections of the project: Identity Management, Authority, and Consortium of Health Service Providers. This architecture has managed to be developed and its process and functioning are presented in this work.
Diseño e implementación de un asistente virtual para facilitar el acceso a geoinformación a través de una infraestructura de datos espaciales (IDE)
(Universidad de Cuenca, 2023-09-22) Bustamante Avila, Juan Francisco; Morocho Zurita, Carlos Villie
The present degree project ”Design and Implementation of a Virtual Assistant to facilitate access to geoinformation through a Spatial Data Infrastructure (SDI)” focuses on developing a Virtual Assistant that enhances access and usage of geoinformation related to territorial planning in Cuenca, Azuay, Ecuador, through the UCuenca SDI. The research is based on the context of the UCuenca SDI, which gathers geospatial data from various sources for users with different levels of expertise, ranging from technical knowledge in territorial planning to ordinary citizens lacking such understanding. The Rasa Open Source framework was employed, using natural language processing and machine learning techniques to create a new geoinformation knowledge schema for training the Virtual Assistant with specific data from Cuenca, including technical terms and local jargon. The interface design focused on user-friendliness and considered various communication methods, such as text and voice. The objective is to provide an interactive and efficient experience, facilitating access to geospatial information and contributing to the goals of the main project ”Virtual Assistants as a contribution to citizen participation processes in development and territorial planning plans” (IDE AV-PPGIS). This aims to provide organized and personalized information about territorial planning to citizens, improving governance and democratizing territorial information.
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 .
Footprint analysis using a low cost photo-podoscope
(Institute of Electrical and Electronics Engineers Inc., 2018) Morocho Zurita, Carlos Villie; Medina Molina, Ruben Null
Footprint analysis is usually performed using a rudimentary process or traditional podoscope. The footprint evaluation is performed without incorporation of the measured data within the patient medical record. In this work, the footprint analysis is performed using a photo-podoscope connected to a personal computer where image processing techniques allow accurate estimation of clinical indexes, as well as incorporation of demographic and clinical data within patient medical record, that can be readily available through Internet. Validation of the proposed equipment is performed using a group of elderly people and considering as the ground truth the traditional assessment of footprint indexes by expert medical staff. Results show errors for the estimation of the Hernandez-Corvo index as low as 5.86% in a group of 18 elderly people.
Framework for Training a VA that Supports Territorial Planning
(IEEE, 2023) Pacurucu Cáceres, Natalia Elizabeth; Bustamante Ávila, Juan Francisco; Morocho Zurita, Carlos Villie; Achig Balarezo, Rosario; Vivanco Cruz, Lorena Regina
Territorial planning plans are the result of the search for primary and secondary information sources with the knowledge of the technical team in charge of preparing or updating them, and ideally using the citizen's knowledge of the territory. To this end, various forms of citizen participation have been explored without much success. In the case study of this article, the Territorial Plan of the Cuenca Municipality, updated until 2022, has been analyzed, where the main result has been the lack of citizen participation. This article proposes a framework that describes the steps of organization, systematization and analysis of geographic information sources for Cuenca, where the large amount of existing but little used information is identified and that motivates the creation of a Virtual Assistant (VA) with specialized training according to the territorial planning axes defined for this municipality. This assistant must work on a platform for the integration and interoperability of geospatial information and existing geoservices, which is the SDI UCuenca.