Search results for "Tale"
showing 10 items of 6428 documents
A methodological protocol for Annex I Habitats monitoring: the contribution of Vegetation science.
2016
The methodological foundations of the recently published Manual for Annex I Habitats monitoring in Italy, edited by the Italian Institute for Environmental Protection and Research (ISPRA) with the scientific support of the Italian Society for Vegetation Science (SISV), are here presented, discussed and related to the most consolidated and acknowledged scientific advances in the field of Vegetation science. The proposed methodologies aim at offering simple, yet effective, protocols and procedures towards a harmonized data collection, by way of standardized and shared technical tools, resulting in comparable evaluations of the conservation status of Annex I Habitats. The methodological framew…
Unit Interval Time and Magnitude Monitoring Using Beta and Unit Gamma Distributions
2022
Quick detection of an assignable cause is necessary for process accuracy with respect to the specifications. The aim of this study is to monitor the time and magnitude processes based on unit-interval data. To this end, maximum exponentially weighted moving average (Max-EWMA) control chart for simultaneous monitoring time and magnitude of an event is proposed. To be precise, beta and unit gamma distributions are considered to develop the Max-EWMA chart. The chart’s performance is accessed using average run length (ARL), the standard deviation of run length (SDRL), and different quantiles of the run length distribution through extensive Monte Carlo simulations. Besides a comprehensive simula…
On ordered categories as a framework for fuzzification of algebraic and topological structures
2009
Using the framework of ordered categories, the paper considers a generalization of the fuzzification machinery of algebraic structures introduced by Rosenfeld as well as provides a new approach to fuzzification of topological structures, which amounts to fuzzifying the underlying ''set'' of a structure in a suitably compatible way, leaving the structure itself crisp. The latter machinery allows the so-called ''double fuzzification'', i.e., a fuzzification of something that is already fuzzified.
Constitutional Perspective of the Guarantees of Application of Artificial Intelligence: the Inescapable Protection of Fundamental Rights
2020
espanolLa Inteligencia Artificial tiene un innegable efecto en la sociedad actual, por lo que su estudio respecto de sus efectos juridicos deviene necesario. Y, en consecuencia, el modo en que se ven afectados los derechos fundamentales tiene especial importancia. De ahi que en el presente trabajo se estudie la influencia de los algoritmos en la determinacion de las resoluciones judi-ciales, sobre todo desde el punto de vista de como afectaria esta cuestion al derecho a la tutela judicial efectiva, reconocida como derecho fundamental en el articulo 24 de la Constitucion espanola. EnglishArtificial Intelligence has an undeniable effect on today’s society, so its study regarding its legal eff…
Modelling and analysis of real-world wind turbine power curves: Assessing deviations from nominal curve by neural networks
2019
Abstract The power curve of a wind turbine describes the generated power versus instantaneous wind speed. Assessing wind turbine performance under laboratory ideal conditions will always tend to be optimistic and rarely reflects how the turbine actually behaves in a real situation. Occasionally, some aerogenerators produce significantly different from nominal power curve, causing economic losses to the promoters of the investment. Our research aims to model actual wind turbine power curve and its variation from nominal power curve. The study was carried out in three different phases starting from wind speed and related power production data of a Senvion MM92 aero-generator with a rated powe…
Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level
2019
Abstract A reliable preliminary forecast of heating energy demand of a building by using a detailed dynamic simulation software typically requires an in-depth knowledge of the thermal balance, several input data and a very skilled user. The authors will describe how to use Artificial Neural Networks to predict the demand for thermal energy linked to the winter climatization of non-residential buildings. To train the neural network it was necessary to develop an accurate energy database that represents the basis of the training of a specific Artificial Neural Networks. Data came from detailed dynamic simulations performed in the TRNSYS environment. The models were built according to the stan…
A web-based autonomous weather monitoring system of the town of Palermo and its utilization for temperature nowcasting
2008
Weather data are crucial to correctly design buildings and their heating and cooling systems and to assess their energy performances. In the intensely urbanized towns the effect of climatic parameters is further emphasized by the "urban heat island" phenomenon, known as the increase in the air temperature of urban areas, compared to the conditions measured in the extra-urban areas. The analysis of the heat island needs detailed local climate data which can be collected only by a dedicated weather monitoring system. The Department of Energy and Environmental Researches of the University of Palermo has built up a weather monitoring system that works 24 hours per day and makes data available i…
Short term wind speed prediction using Multi Layer Perceptron
2012
Among renewable energy sources wind energy is having an increasing influence on the supply of energy power. However wind energy is not a stationary power, depending on the fluctuations of the wind, so that is necessary to cope with these fluctuations that may cause problems the electricity grid stability. The ability to predict short-term wind speed and consequent production patterns becomes critical for the all the operators of wind energy. This paper studies several configurations of Artificial Neural Networks (ANN), a well-known tool able to estimate wind speed starting from measured data. The presented ANNs, t have been tested through data gathered in the area of Trapani (Sicily). Diffe…
Life cycle assessment of building materials: A comparison by electre methodology
1996
There is a growing awareness that in selection of building materials the designer must also consider environmnental impacts, either in global and local scale. Unfortunately, design community has an inadequate knowledge about the factors that affects environmental consequences of producing and operating buidings. To increase understanding on selection criteria and comparison of building alternatives in an “energy and environmental point of view”, is a significant goal for restraining gloabl enevironmental degradation. An interesting approach for assessing comparable products is the so called “multicriteria decision making”, but there is much debate about aggregation of criteria and weights a…
WILD RESOURCES OF THE PROSPECTIVE MEDICINAL PLANT ARUM MACULATUM L. IN BULGARIA
2015
Background: Arum maculatum L. (Araceae), has been known as a medicinal plant for centuries. In Bulgaria, this species is an officially acknowledged medicinal plant (Medicinal plant act 2000), even though it is not often used. Our ethnopharmacological survey demonstrated that A. maculatum is a promising plant for treatment of hemorrhoids and even preferable than the surgery which is so far considered the definitive treatment (Kochmarov et al 2015). Therefore the problem for the plant resources is crucial. Our survey on the natural distribution of the genus Arum in Bulgaria (Kozuharova et al. 2014) revealed that A. maculatum occurs only in eight floristic regions – data collected by literatur…