8,235 research outputs found
An NFO-LP-model to optimise water allocation in dammed river systems
No full textWater 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 (e.g. 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 discrete spatio-temporal Network Flow Optimization Problem (NFOP) solved by Linear Programming (LP) techniques. We apply NFO-LP to a virtual river system with two reservoirs, and compare different scenarios in which reservoir capacity, inflow, demands and losses vary. In a next step, we intend to upgrade the LP-model to a Mixed Integer Linear Programming (MILP)-model in order to determine optimal locations of reservoirs.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 …Lovain
From Linear Programming Model to Mixed Integer Linear Programming Model for the Simultaneous Optimisation of Water Allocation and Reservoir Location in River Systems
No full textThe 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 Optimisation (NFO) problem and addressed by Linear Programming (LP). In this paper we present an extension of the strategic NFO-LP model to simultaneously optimise the allocation of water and the location of one or more reservoirs. The applicability of the MILP model has been illustrated by applying it to a hypothetical river network configuration consisting of seven candidate reservoir nodes and seven demand nodes, and by comparing the outcome (water levels in selected reservoir, penalties) with the values obtained by the original LP-model for the same network with six reservoirs present
Arquitectura para una red de sensores web basada en SWE (sensor web enablement): caso de estudio para la implementación en sensores hidrometeorológicos
No full textThe 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).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).Guayaqui
Artificial neural networks applied to flow prediction: A use case for the Tomebamba river
No full textThe 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.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.Chania, Cret
SWE sensor integration for controlling remote sensors applied to hidrometeorological sensing
No full textEn la sociedad actual, en la que las tecnologías de información y comunicación son casi omnipresentes, la capacidad de reacción rápida ante eventos específicos, por ejemplo, contingencias hidrometeorológicas, constituye una ventaja crucial como parte del reto de reducir al mínimo los efectos adversos producidos por tales eventos. Un ejemplo de una tecnología orientada a soportar este propósito de detección temprana de eventos y la correspondiente reacción inmediata es Sensor Web Enablement (SWE). SWE y sus distintos servicios estándares asociados (SOS, SPS, SES y WNS) se han convertido en una opción atractiva para la adquisición, organización y visualización de información proveniente de sensores remotos hidrometeológicos. El presente artículo propone una arquitectura basada en SWE, la cual, además de estar orientada a la adquisición …Currently, information and communicaton technology are omnipresent, the response time to cope specific events, for instance, hydrometeorological events, is becoming a crucial advantage in order to reduce to the minimal those effects. An example of the technology used to support this kind of early alert systems and the minimization of the effects related to is Sensor Web Enablement (SWE). SWE y all of its components/standards (SOS, SPS, SES y WNS) have become an highly recommended option to the aquisition, organization and visualization of the information from hydrological remote sensors. This paper proposes and SWE-based architecture, which allows to acquire, organizes and publicates hydrometeorological information also provides the possibility to establish configurations in the sensor by using the WNS standard to send alerts based in the occurrence of events, besides, task planning is also possible by using the SPS standard.QUIT
Aplicación de métodos heurísticos para optimizar la distribución de agua: un estudio de caso para la cuenca del río Machángara, Ecuador
No full textEl agua se puede representar por un nexo llamado WEF-Nexus que incluye suministro de
agua, tratamiento de aguas residuales y generación de energía hidroeléctrica en un sistema
de agua con reservorios (Liu et al., 2018). El factor WEF-Nexus considera: evitar
inundaciones, cumplir con demandas de agua y mantener el nivel de agua en reservorios y
segmentos de río. La optimización de la distribución de agua considerando este factor
puede ser abordada con programación lineal, no lineal, dinámica-discreta y heurística. En
(Veintimilla-Reyes et al., 2019), el autor aplicó programación lineal para la optimización de
la distribución del agua en la cuenca del río Machángara, y este estudio busca la
optimización en ese mismo contexto, pero aplicando métodos heurísticos. El modelo
heurístico implementado es PSO (particle swarm optimization), que fue seleccionado luego
de una revisión sistemática de literatura. Se consideran tres fases: calibración, validación y
aplicación. La primera fase calibra variables necesarias para que el modelo reproduzca la
realidad con datos de 1998-2001. Se valida comparando la salida del modelo parametrizado
con los valores esperados en el período 2002-2003. Finalmente, se aplica el modelo para
distribuir el agua óptimamente en el período 2004-2005. Los datos usados fueron facilitados
por el Programa para el Manejo del Agua y del Suelo de la Universidad de Cuenca (Promas,
2022). De los resultados destaca que PSO y el paquete Pymoo (usado para la
implementación) presentan dificultad para encontrar una solución que pueda satisfacer
todas las restricciones. También se usa PSO para determinar el número óptimo de
reservorios, pero el modelo sufre del mismo impedimento en satisfacer restricciones. Para
trabajos futuros se plantea la implementación de algoritmos híbridos, y reducir el número
de restricciones y variablesWater 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 variablesIngeniero de SistemasCuenc
Heliscus moroni Reyes-Castillo, Asiain, and Márquez
No full textHeliscus moroni Reyes-Castillo, Asiain, and Márquez Teratology. Atrophy of left foreleg, micromyelia, notable proportional reduction compared to the normal right foreleg. Reference. Reyes-Castillo et al. (2015).Published as part of Gasca-Álvarez, Héctor Jaime, Deloya, Cuauhtémoc & Reyes-Castillo, Pedro, 2017, Teratological Cases in Five Species of Cotinis Burmeister (Coleoptera: Scarabaeidae: Cetoniinae: Gymnetini), with a Compilation of Teratologies in Scarabaeoidea, pp. 329-338 in The Coleopterists Bulletin 71 (2) on page 334, DOI: 10.1649/0010-065X-71.2.329, http://zenodo.org/record/536392
¿Tiüvame’e mtaaya?: Voz autoral y autoficción en ¡Por la tierra y por la raza! de Juana Belén Gutiérrez de Mendoza
No full text"En esta tesis, no hablo de figura autorial sino de voz autoral porque, aunque se relaciona con una puesta en escena de la autora en su texto, sólo me refiero a la realización autorial efectiva en las líneas de ¡Por la tierra y por la raza!, en donde intento atender a la polifonía de su construcción, siempre dentro del universo de la obra. Un estudio más abarcador es necesario para reconstruir la figura autorial, uno que concatene la poesía, el periodismo y la narrativa, sobre todo ese curiosísimo cuento que escribió para sus nietas: el Cuatatapá96 (Gutiérrez y Olivera, 1999)"
Redes Definidas por Software (SDN) II
No full text12:30 Presentación del panel de Instituciones Educativas y de los panelistas
Sesión de preguntas para el panel de Instituciones educativas
12:45 Jaime Olmos (UDG)
12:55 Jeronimo Bezerra (Florida International University)Panel Redes Definidas por Software (SDN) por los representantes de Instituciones Públicas. Contamos con la participación de Jaime Olmos (UDG) y Jeronimo Bezerra (Florida International University)
Daniel Reyes Llinás, guitarra (Colombia)
No full textConcierto interpretado por el guitarrista Daniel Reyes Llínas. Reyes nació en Bogotá en 1978. Se inició en el rock en el cual se destacó con su banda "Bhang" que participó en el Salón Nacional de Artistas en 1998. Tomó clases con Carlos Castilla y posteriormente ingresó a la cátedra de guitarra de la Universidad de los Andes bajo la tutela de Carlos Rocca Lynn y posteriormente con Jaime Arias Obregón. Formó parte del Cuarteto de los Andes que participó en talleres con Leo Brouwer y Entrequatre, cuarteto de guitarras español
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