Listar GI-CTC - Artigos por fecha de publicación
Mostrando ítems 1-20 de 56
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Internet : el paradigma del pionero
(Asociación de Técnicos de Informática (ATI), 1997-01) -
Missing data imputation of solar radiation data under different atmospheric conditions
(MDPI, 2014-10-29)[Abstract] Global solar broadband irradiance on a planar surface is measured at weather stations by pyranometers. In the case of the present research, solar radiation values from nine meteorological stations of the ... -
A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers
(Multidisciplinary Digital Publishing Institute, 2015)Nowadays, data collection is a key process in the study of electrical power networks when searching for harmonics and a lack of balance among phases. In this context, the lack of data of any of the main electrical variables ... -
Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump
(Elsevier, 2015-02-20)[Abstract] Nowadays the Heat Pump is one of the best systems to warm a building with a good performance. Usually, with the aim to increase the efficiency, a geothermal heat exchanger is added to the installation. This ... -
A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers
(Multidisciplinary Digital Publishing Institute, 2016)The storage of data is a key process in the study of electrical power networks related to the search for harmonics and the finding of a lack of balance among phases. The presence of missing data of any of the main electrical ... -
Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries
(Multidisciplinary Digital Publishing Institute, 2017)This paper presents a new fault detection system in hypnotic sensors used for general anesthesia during surgery. Drug infusion during surgery is based on information received from patient monitoring devices; accordingly, ... -
Determination of Sr-90 in milk samples from the study of statistical results
(Vinča Institute of Nuclear Science, 2017)[Abstract] The determination of 90Sr in milk samples is the main objective of radiation monitoring laboratories because of its environmental importance. In this paper the concentration of activity of 39 milk samples was ... -
Radon Mitigation Approach in a Laboratory Measurement Room
(MDPI, 2017-05-11)[Abstract] Radon gas is the second leading cause of lung cancer, causing thousands of deaths annually. It can be a problem for people or animals in houses, workplaces, schools or any building. Therefore, its mitigation has ... -
Estudio, medida y mitigación de la concentración de radón en la Escuela Universitaria de Arquitectura Técnica de la Universidade da Coruña
(CSIC, 2017-09-27)[Resumen] Se ha llevado a cabo un estudio de la concentración de gas radón en la Escuela Universitaria de Arquitectura Técnica de la Universidade da Coruña. Para ello se ha analizado la ubicación del edificio, el terreno ... -
Improving the calibration of building simulation with interpolated weather datasets
(Elsevier, 2018-02-06)[Abstract]: The building sector offers huge potential for energy savings, which helps to achieve environmental objectives and social benefits. A good approach to determine both the energy consumption of new buildings and ... -
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling
(MDPI, 2019)[Abstract] The hotel industry is an important energy consumer that needs efficient energy management methods to guarantee its performance and sustainability. The new role of hotels as prosumers increases the difficulty ... -
Sistema híbrido inteligente para la predicción de tensión de una pila de combustible basada en hidrógeno
(Comité Español de Automática, CEA, 2019)[Resumen]: Por razones de sostenibilidad y estrategia energética, entre otras, existe en la actualidad una tendencia clara hacia el uso de nuevas formas de obtención, almacenamiento y gestión de energía, más eficientes y ... -
Delving into Android Malware Families with a Novel Neural Projection Method
(Willey-Hindawi, 2019)[Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ... -
Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring
(Vilnius University, 2019)[Abstract] The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator ... -
Gaining deep knowledge of Android malware families through dimensionality reduction techniques
(Oxford University Press, 2019-04)[Abstract] This research proposes the analysis and subsequent characterisation of Android malware families by means of low dimensional visualisations using dimensional reduction techniques. The well-known Malgenome data ... -
Multi-criteria risk assessment: Case study of a large hydroelectric project
(Elsevier, 2019-04-09)[Abstarct]: Run-of-river hydroelectric plants along Amazon River tributaries have been shown to be an ecologically viable alternative to meet Brazilian energy demand. These plants are a solution to add capacity. However, ... -
A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques
(MDPI, 2019-06-18)[Abstract ]:This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy ... -
A fault detection system based on unsupervised techniques for industrial control loops
(Wiley, 2019-08)[Abstract] This research describes a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques. The proposed method includes a visual tool for the detection of faults, ... -
A Hybrid Intelligent System to Forecast Solar Energy Production
(Elsevier, 2019-08-07)[Abstarct]: There is wide acknowledgement that solar energy is a promising and renewable source of electricity. However, complementary sources are sometimes required, due to its limited capacity, in order to satisfy user ... -
Electromyogram prediction during anesthesia by using a hybrid intelligent model
(Springer Nature, 2019-08-23)[Abstract] In the search for new and more efficient ways to administer drugs, clinicians are turning to engineering tools. The availability of these models to predict physiological variables are a significant factor. A ...
