Browsing by Author "Veintimilla Reyes, Jaime Eduardo"

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A linear programming approach to optimise the management of water in dammed river systems for meeting demands and preventing floods
(2018) Veintimilla Reyes, Jaime Eduardo; De meyer, Annelies; Cattrysse, Dirk; Van Orshoven, Jos
Water in sufficient quantity and quality is indispensable for multiple purposes like domestic and industrial use, irrigated agriculture, hydropower generation and ecosystem functioning. In many regions of the world, water availability is limited and even declining. Moreover, water availability is variable in space and time and often does not match with the spatio- temporal demand pattern. To overcome the temporal discrepancy between availability and consumption, reservoirs are constructed. Monitoring and predicting the water available in the reservoirs, the needs of the consumers and the losses throughout the river and water distribution system are necessary requirements to fairly allocate the available water to the different users, prevent floods and ensure sufficient water flow in the river. In this paper, this surface water allocation problem is considered a Network Flow Optimisation Problem …
An NFO-LP-model to optimise water allocation in dammed river systems
(Universiteit Gent, 2017) Veintimilla Reyes, Jaime Eduardo; Cattrysse, Dirk; Van Orshoven, Jos; Veintimilla Reyes, Jaime Eduardo
Water of sufficient quantity and quality is indispensable for domestic and industrial use, irrigated agriculture, hydropower generation and ecosystem functioning. River systems are a major source of water to meet these demands. Excess surface water resulting into floods is harmful though for properties and infrastructures and may put human lives at risk. Since surface water availability is variable in space (eg related to latitude and orography) and time (seasonal) it often does not meet the spatio-temporal use requirements. To overcome this discrepancy reservoirs have been or are planned to be constructed on many large and smaller river systems throughout the globe. Management of these reservoirs with a view to allocate the available water fairly and to prevent floods requires time series data on inflow, demands and losses. In this contribution, this water allocation problem is considered as a …
Análisis e implementación de una infraestructura de datos espaciales (IDE). Caso de estudio: Gobierno Autónomo Descentralizado Municipal del cantón Guachapala
(2015) Veintimilla Reyes, Jaime Eduardo; Avila Larrea, Franklin Gonzalo
Este artículo pretende constituirse en herramienta para todas aquellas personas que desean incursionar en el campo de las infraestructuras de datos espaciales (IDE) ya que en él se indica paso a paso todos los componentes necesarios para la instalación y puesta en marcha de una IDE, así como también las diferentes formas con las que se puede realizar una correcta configuración de cada una de sus partes.
Análisis y diseño de una red de comunicación para transmitir información de alerta temprana. Caso de estudio: proyecto de control de inundaciones Bulubulu-Caña-Naranjal
(2016) Veintimilla Reyes, Jaime Eduardo; Tacuri Espinoza, Víctor Eduardo; Cisneros Espinoza, Felipe Eduardo ; Pino, José
This article presents a communication solution for the transmission ofinformation captured by remote sensors installed, configured and that are part of a Early warning system to prevent flooding. The particular case study focusesin the area of the Bulubulu-Cañar project financed by SENAGUA1 and that was developed conveniently between PROMAS2 and the consultant ACSAM3 . The main problem to solve is that in the area where the relay stations of the generated information will be installed Through the stations there are many elevations that prevent the direct line of sight between the towers To solve this, the location of several towers at specific points and with a certain height so that they are determined to control that the information reaches time to the control center and with this take the appropriate actions in order to prevent a possible flood For the analysis and determination of the optimal places tools have been used IT for the management of geographic information systems (GIS) and also tools to verify the line of sight of the transmitters and the frequency to be used to achieve the correct transmission. It should also be noted that the transmission will take place via radio modems.
Análisis, estudio y selección de una arquitectura orientada a servicios (SOA) a ser implementada en el programa para el manejo del agua y del suelo (PROMAS)
(2012) Veintimilla Reyes, Jaime Eduardo; Espinoza Mejía, Jorge Mauricio
Analyzing students’ behavior in a MOOC course: a process-oriented approach
(Springer Verlag, 2020) Bernal, Franklin; Maldonado Mahauad, Jorge Javier; Zúñiga Prieto, Miguel Ángel; Veintimilla Reyes, Jaime Eduardo; Mejía Pesántez, Piedad Magali; Villalba Condori, Klinge
Massive Open Online Courses (MOOCs), are one of the most disruptive trends along the last 12 years. This is evidenced by the number of students enrolled since their emergence with over 101 million people taking one of the more than 11,400 MOOCs available. However, the approval rate of students in these types of courses is only about 5%. This has led to a great deal of interest among researchers in studying students’ behavior in these types of courses. The aim of this article is to explore the behavior of students in a MOOC. Specifically, to study students learning sequences and extract their behavioral patterns in the different study sessions. To reach the goal, using process mining techniques, process models of N = 1,550 students enrolled in a MOOC in Coursera were obtained. As a result, two groups of students were classified according to their study sessions, where differences were found both in the students’ interactions with the MOOC resources and in the way the lessons were approached on a weekly basis. In addition, students who passed the course repeated the assessments several times until they passed, without returning to review a video-lecture in advance. The results of this work contribute to extend the knowledge about students’ behavior in online environments.
Aplicación de métodos heurísticos para optimizar la distribución de agua: un estudio de caso para la cuenca del río Machángara, Ecuador
(Universidad de Cuenca, 2023-02-01) Guerrero Guamán, Berenice Magdalenda; Veintimilla Reyes, Jaime Eduardo
Water can be represented by a nexus called WEF-Nexus that includes water supply, wastewater treatment and hydroelectric power generation in a reservoir water system (Liu et al., 2018). The WEF-Nexus factor considers: avoiding floods, meeting water demands and maintaining the water level in reservoirs and river segments. The optimization of water distribution considering this factor can be approached with linear, non-linear, dynamicdiscrete and heuristic programming. In (Veintimilla-Reyes et al., 2019), the author applied linear programming to optimize the distribution of water in the Machángara river basin, and this study seeks optimization in that same context, but applying heuristic methods. The implemented heuristic model is PSO (particle swarm optimization), which was selected after a systematic literature review. Three phases are considered: calibration, validation and application. The first phase calibrates variables necessary for the model to reproduce reality with data from 1998-2001. It is validated by comparing the output of the parameterized model with the expected values in the 2002-2003 period. Finally, the model is applied to optimally distribute water in the 2004-2005 period. The data used were provided by the Program for Water and Soil Management of the University of Cuenca (Promas, 2022). From the results it stands out that PSO and the Pymoo package (used for the implementation) present difficulties in finding a solution that can satisfy all the constraints. PSO is also used to determine the optimal number of reservoirs, but the model suffers from the same handicap in satisfying constraints. For future work, the implementation of hybrid algorithms is proposed, and reduce the number of restrictions and variables
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.
Arquitectura para una red de sensores web basada en SWE (sensor web enablement): caso de estudio para la implementación en sensores hidrometeorológicos
(CEDIA, UCSG, 2017) Muñoz Guillen, Lissette Maritza; Veintimilla Reyes, Jaime Eduardo; Medina Cartuche, Jose Luis; Guillermo Anguisaca, Juan Carlos; Veintimilla Reyes, Jaime Eduardo
The growth of information and communication technologies associated with the needs to access immediately information generated by different sensors made the implementation and the use of communication protocols to acquire and interchange data necessary. In this sense, Sensor Web Enablement (SWE) developed by OGC (Open Geospatial Consortium) and each of its components constitute the most appropriate tool to achieve this goal. This research project proposes an architecture based in SWE that allows to access in real-time sensors belonging to a hydro-meteorological network. The architecture has been verified and validated through the implementation of a case study, using the hydrometeorological station “Marianza” located in the Azuay province; station run by PROMAS (Programa para el Manejo del Agua y el Suelo).
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.
Desarrollo e implementación de una infraestructura de datos espaciales para gobierno autónomo descentralizado municipal: aplicación particular cantón Guachapala
(2014) Avila Larrea, Franklin Gonzalo; Veintimilla Reyes, Jaime Eduardo
This projectis intended asa tool forall those whowant to venture intothe field ofspatial data infrastructures(SDI) asitis shownstepby step all thenecessary componentsfor installation andcommissioning ofan SDI, as well asthe differentways thatyou can make acorrect settingof each ofits parts. The technical equipmentof Guachapala Municipalityhas consistentlyworkedin the generation ofgeospatial informationrepresentedin differentmapsthat form theDevelopment Planand Zoning; the samewhich constitutesimportant informationthatcannot endstored in aPCavailable to few, on the contrarythe intent of thisproject is tomake it available toall citizens andthe bestway isthrough anSDIrespecting the normsand standardsprevailinginternationally forgeographic information, itprovidesthe user a widerange of toolsmainly forvisualization, consultation,and discharge of geographicInformation in a fasterway, effective andat the timerequired. This draft grade was developed using free software, since itis free tousefor any purposewithoutrestrictions; every day free technologies play a fundamental role in the construction of the SDI, overcoming implementation in many cases proprietary technologies. If the SDI is spoken to share data, with all the advantages that entails, with free software talking of sharing technology. The type ofapplied research inthis projectis descriptiveand technological development, in which itisthe best wayto indicatethe differentused inthe construction of aSpatial Data Infrastructure as well as the best configuration of each ofits parts for proper operation.
Diseño e implementación de un datalogger para la transmisión de información de sensores remotos de lluvia por medio de una red GSM o GPRS
(2014) Veintimilla Reyes, Jaime Eduardo; Cisneros Espinoza, Felipe Eduardo ; Capelo U, Patricio
La transmisión en línea de la información de lluvia que se genera en determinadas zonas, es un problema que se encuentra latente en muchas de las organizaciones que se encargan de llevar a cabo monitoreos, esto, debido a que poseen muchos tipos de sensores o estaciones de diferentes marcas y la mayoría de estos dispone de una manera específica de almacenar la mencionada información o simplemente no permite el envío automático de ́esta. Con el objetivo de crear una base de datos centralizada de información de lluvia, se creo ́éste mecanismo electrónico (datalogger) que permite tomar los datos generados y enviarlos mediante la red celular, haciendo uso de los mensajes de texto corto (SMS por sus siglas en inglés) hacia un servidor central en una organización. Con la creación de este mecanismo, se asegura que todos estos datos serán transmitidas en tiempo real sin importar la marca del sensor o el fabricante, y con esto poder alimentar muchos sistemas que trabajan con información en línea tales como: alertas tempranas o simplemente para prevenir desastres naturales.
Estudio y selección de una arquitectura orientada a servicios (SOA) que permita la integración de sistemas informáticos legados
(2014) Espinoza Mejía, Jorge Mauricio; Cisneros Espinoza, Felipe Eduardo ; Veintimilla Reyes, Jaime Eduardo
El presente trabajo, tiene por objeto el an ́alisis del marco tecnol ́ogico relacionado con la integraci ́on de sistemas inform ́aticos legados, adem ́as de esto, se revisaran algunas t ́ecnicas para la exposici ́on de servicios, es- to con objetivo de establecer una arquitectura orientada a servicios que puede ser implementada en el Programa para el Manejo del Agua y Suelo (Promas), y que pueda permitir la integraci ́on a la misma de varios sis- temas inform ́aticos que han sido creados y que se encuentran todav ́ıa en funcionamiento. Para poder cumplir este objetivo, es necesario el an ́ali- sis de los principales sistemas inform ́aticos para poder extraer las carac- ter ́ısticas principales y agruparlos de acuerdo a estas, una vez realizada esta agrupaci ́on es necesario tambi ́en el an ́alisis de algunas de las t ́ecnicas que existen actualmente para poder llevar a cabo esta integraci ́on. Una vezidentificadasestast ́ecnicas,esnecesario tambi ́enelestablecimientodeuna metodolog ́ıa a seguir para la exposici ́on de futuros servicios, para esto se ha visto necesario la implementaci ́on de una arquitectura piloto que sea capaz de soportar algunos de los servicios que son considerados como vita- les en las actividades diarias del Programa. Al final de la implementaci ́on del mencionado piloto, se podr ́a disponer de una arquitectura orientada a servicios que sea capaz de incluir nuevos requerimientos y adaptarse f ́acilmente a los cambios tecnol ́ogicos que puedan presentarse.
Inteligencia artificial en arquitectura: automatización de la planificación del espacio y generación de volumetría o masa de un edificio
(Universidad de Cuenca, 2024-08-27) Berrezueta Siguenza, Wilson Renato; Flores Terreros, Mateo Sebastian; Veintimilla Reyes, Jaime Eduardo
The advancement of artificial intelligence has profoundly influenced current construction and design methods. However, Cuenca, recognized as a UNESCO World Heritage site, encounters regulatory challenges that impede the adoption of these technologies. This thesis proposes developing specific code extensions for Autodesk Revit and its DynamoBIM add-in to facilitate the application of artificial intelligence through generative design techniques in Cuenca's architectural processes. A thorough analysis of local regulations was conducted, leading to the creation of genetic algorithms that generate optimized structures and volumetries based on the city's topographic and regulatory parameters. These code extensions empower architects to harness artificial intelligence's capabilities, enabling them to produce optimal solutions within minutes while ensuring compliance with regulations and enhancing efficiency in design and construction. The study's findings indicate that these tools are not only user-friendly but also provide significant time savings. The favorable perception among architects and their intent to use these solutions in the future highlight the potential for widespread adoption within the industry. Therefore, implementing these code extensions in Cuenca could revolutionize the city's construction and design methods, allowing for the integration of advanced technologies within a restrictive regulatory framework, ultimately modernizing the architectural landscape.
Internal logistics optimization based on a multi-objective linear model for micro, small, and medium textile enterprises
(Springer International Publishing, 2022) Llivisaca Villazhañay, Juan Carlos; Peña Ortega, Mario Patricio; Sigüenza Guzmán, Lorena Catalina; Veintimilla Reyes, Jaime Eduardo; Torres Torres, Christian Marcelo; Toledo Illescas, María Belén
Daily, textile companies seek to increase production levels through available resources and improve their profit projections over time. Therefore, it is essential to manage the products to be manufactured based on their raw materials resources and time availability. This work proposes improving decision-making in textile production planning by applying a multi-objective linear optimization model to internal logistics within micro, small, and medium-sized enterprises (MSMEs) of the Ecuadorian textile sector. The application of this optimization model results in a balanced production plan between the objectives related to profit maximization and the use of the time available for production. This article includes the description of the studied case, the definition of the optimization model executed by using the Gurobi solver, the results of the application of the optimization model with the data provided by a case study, and the discussion of the results through a sensitivity analysis.
Mathematical programming for the support of river water management: water allocation and reservoir location
(Katholieke Universiteit Leuven, 2022-05-20) Veintimilla Reyes, Jaime Eduardo; Van Orshoven, Jos; Cattrysse, Dirk; Vanegas Peralta, Pablo Fernando; Cisneros Espinoza, Felipe Eduardo
Surface and ground water availability is variable in space and time and the spatio-temporal pattern of this variability often does not match with the distributed use pattern of sectors and individual consumers. This mismatch can become controversial when overall water availability decreases, e.g., due to climate change, and competition for water increases. It is in this context that the so called WEF-nexus between water for human consumption and industrial use, water for Energy (hydropower) and water for Food (irrigated agriculture) (WEF) has gained increasing attention in research, business and policy spheres, especially in regions with more arid climate. An additional dimension of this nexus is the water required for sustainable functioning of ecosystems in general and wetlands in particular. Allocation of scarce water has challenged water managers for decades. The construction and operation of reservoirs is the typical solution put forward. In this research we addressed the optimization of the allocation of water available in a river-with-reservoir system towards multiple users as a network flow optimization (NFO) problem. There are two classes of methods to tackle NFO problems: heuristic models and mathematical models. Heuristic models are able to provide a feasible solution within reasonable computation time whereas mathematical models are able to come up with the optimal solution but often requiring longer computation times. Since for strategic decisions computation times are less crucial, the latter, i.e. linear programming (LP) models and mixed integer linear programming (MILP) models were the subject of this research. LP and MILP models were formulated to optimize the flow and storage of water through Water Supply Networks (WSN) created from geographic information describing the river basin under study. A WSN encompasses a set of oriented lines connected in georeferenced nodes whereby the lines represent river segments and the nodes represent reservoirs, natural water bodies, inflow points and abstraction points. Whereas inflow and abstraction points are characterized by time series of incoming and required water volumes, the water volume available in river segments, reservoirs and other water bodies, each having predetermined capacities, is updated throughout the simulation period.
MILP for optimizing water allocation and reservoir location: a case study for the Machángara river basin, Ecuador
(2019) Veintimilla Reyes, Jaime Eduardo; De Meyer, Annelies; Cattryss, Dirk; Tacuri Espinoza, Víctor Eduardo; Cisneros Espinoza, Felipe Eduardo; Van Orshoven, Jos; Vanegas Peralta, Pablo Fernando
The allocation of water flowing through a river-with-reservoirs system to optimally meet spatially distributed and temporally variable demands can be conceived as a network flow optimization (NFO) problem and addressed by linear programming (LP). In this paper, we present an extension of the strategic NFO-LP model of our previous model to a mixed integer linear programming (MILP) model to simultaneously optimize the allocation of water and the location of one or more new reservoirs; the objective function to minimize only includes two components (floods and water demand), whereas the extended LP-model described in this paper, establishes boundaries for each node (reservoir and river segments) and can be considered closer to the reality. In the MILP model, each node is called a “candidate reservoir” and corresponds to a binary variable (zero or one) within the model with a predefined capacity. The applicability of the MILP model is illustrated for the Machángara river basin in the Ecuadorian Andes. The MILP shows that for this basin the water-energy-food nexus can be mitigated by adding one or more reservoirs.
Mixed Integer Linear Programming (MILP) Approach to Deal with Spatio-temporal Water Allocation
(ELSEVIER LTD, 2016-06-01) Veintimilla Reyes, Jaime Eduardo
Water of sufficient quantity and quality is indispensable for multiple purposes like domestic use, irrigated agriculture, hydropower generation and ecosystem functioning. However, in many regions of the world water availability is limited and even declining. Moreover, water availability is variable in space and time so that it does not match with the spatio-temporal use pattern of the water consumers. To overcome the temporal discrepancy between availability and consumption, reservoirs are constructed. Monitoring and predicting the water available in the reservoirs, the needs of the consumers and the losses throughout the water distribution system are necessary requirements to fairly allocate the available water for the different consumers. In this article, the water allocation problem is considered as a Network Flow Optimization Problem (NFOP) to be solved by a spatio-temporal optimization approach using Mixed Integer Linear Programming (MILP) techniques.
Modelo de programación lineal multiobjetivo para la logística interna enfocado a la optimización de la producción y maximización de las ganancias de las MIPYMES textiles en el cantón Cuenca.
(Universidad de Cuenca, 2022-02-18) Toledo Illescas, María Belén; Torres Torres, Christian Marcelo; Veintimilla Reyes, Jaime Eduardo; Llivisaca Villazhañay, Juan Carlos; Peña Ortega, Mario Patricio
In recent years, studies dedicated to obtaining optimization models have been published, many of which have been applied in the textile sector. According to the National Institute of Statistics and Censuses of Ecuador, this sector is part of the economic development areas of a country, being one of the main sources of employment. Therefore, this need arises to review the state of the art that has been published on optimization models, starting with the selection of research questions, digital databases and search terms to later apply practical and methodological filters, which allow us make a systematic review of the results obtained on the optimization models. In this way, a complete summary of the areas that are being optimized and the methods used to solve the problems in the textile sector is compiled. All this because textile companies seek to increase production levels by maximizing available resources; and improve projections income over time. For this, it is essential to manage the products to be manufactured based on their raw material resources and time availability. This work proposes to improve decision-making in the planning of textile production by applying a multi-objective linear optimization model to internal logistics within Micro, Small and Medium Enterprises (MSMEs) of the Ecuadorian textile sector. The application of this optimization model results in a balanced production plan between the objectives related to profit maximization and the use of the time available for production. It also includes the description of a case study, the definition of the optimization model that is executed using the Gurobi solver. The results of the application of the optimization model are also presented with the data provided by the case study and the discussion of the results through a sensitivity analysis.
Optimization models used in the textile sector: a systematic review
(Springer Science and Business Media Deutschland GmbH, 2022) Llivisaca Villazhañay, Juan Carlos; Veintimilla Reyes, Jaime Eduardo; Sigüenza Guzmán, Lorena Catalina; Torres Torres, Christian Marcelo; Toledo Illescas, María Belén; Peña Ortega, Mario Patricio
In recent years, several works have been published dedicated to obtaining optimization models. Many of them have been applied in the textile sector because they are part of the economic development areas of a country. This article’s main objective is to review the literature published on optimization models and understand what methods their authors used to solve the optimization problems in the textile sector. A systematic methodology was applied to select research questions, digital databases, and search terms to utilize practical and methodological filters later to carry out this systematic review. This procedure allowed performing a review and synthesis of the results obtained on the optimization models. It was found that the models resulting from the systematic review vary depending on the areas to be optimized. The most frequent applications were logistics and production, followed by cost minimization. They were optimized mainly with linear programming, integer programming, Markov chains, genetic algorithms, and multi-objective programming