FUTURE ANALYSIS TOOLS FOR POWER QUALITY P. Ribeiro, R
... Wavelets are functions localized both in time(or space) and frequency. These functions are generated from a single generating (mother) wavelet by translations and dilations. These properties make wavelets very attractive for non-stationary power quality analysis. In many cases, not only are fewer fu ...
... Wavelets are functions localized both in time(or space) and frequency. These functions are generated from a single generating (mother) wavelet by translations and dilations. These properties make wavelets very attractive for non-stationary power quality analysis. In many cases, not only are fewer fu ...
Cross- and Delta-Hedges: Regression- versus Price
... Relative to Kroner and Sultan, the innovations in our work are as follows. First, we consider cross hedges, delta hedges, and cross-and-delta hedges rather than just delta hedges. Second, we seek to improve on an unconditional regression not by using GARCH models—at our threemonth exposure horizon, ...
... Relative to Kroner and Sultan, the innovations in our work are as follows. First, we consider cross hedges, delta hedges, and cross-and-delta hedges rather than just delta hedges. Second, we seek to improve on an unconditional regression not by using GARCH models—at our threemonth exposure horizon, ...
Report of research activities in fuzzy AI and medicine at
... be completely non-obtrusive and should collect data without contact) and to the need to make a highly reliable alarming. Previously known systems for monitoring either respiratory signals, or movements of a subject during sleep and especially for detecting SIDS-related apnea typically employ acceler ...
... be completely non-obtrusive and should collect data without contact) and to the need to make a highly reliable alarming. Previously known systems for monitoring either respiratory signals, or movements of a subject during sleep and especially for detecting SIDS-related apnea typically employ acceler ...
V. Case Study: The “Call for Papers” Agent
... them, performed by a central control or by the processes themselves through communication. For integrated extraction as described above, two other constraints hold: First, each component is responsible to process (i.e. to find and filter content pages and extract data from them) just one class of th ...
... them, performed by a central control or by the processes themselves through communication. For integrated extraction as described above, two other constraints hold: First, each component is responsible to process (i.e. to find and filter content pages and extract data from them) just one class of th ...
Japan`s strategies for taking the lead in the Fourth Industrial
... sales of equipment to added services of operation/security/insurance using sensor data), significant efficiency improvement throughout the entire supply chain with data sharing (integration of production equipment and logistics/delivery/payment systems) ⑤ Technology used in the revolution is common ...
... sales of equipment to added services of operation/security/insurance using sensor data), significant efficiency improvement throughout the entire supply chain with data sharing (integration of production equipment and logistics/delivery/payment systems) ⑤ Technology used in the revolution is common ...
Reward and punishment act as distinct factors in guiding behavior
... two blocks. In 20% of trials, we randomly interleaved cases in which no auditory stimulus was present. When no sound was heard, subjects were instructed to choose either key (i.e., to either press the left key with the left index finger or the right key with the right index finger). The purpose of t ...
... two blocks. In 20% of trials, we randomly interleaved cases in which no auditory stimulus was present. When no sound was heard, subjects were instructed to choose either key (i.e., to either press the left key with the left index finger or the right key with the right index finger). The purpose of t ...
Towards a Programming Paradigm for Artificial Intelligence
... entity has to be unique with respect to a world and serves as a means to reference the entity, however the same entity may appear in different worlds with potentially different attributes and attribute values. Transition descriptions can be seen as the main source code elements in the approach and t ...
... entity has to be unique with respect to a world and serves as a means to reference the entity, however the same entity may appear in different worlds with potentially different attributes and attribute values. Transition descriptions can be seen as the main source code elements in the approach and t ...
MS PowerPoint 97/2000 format
... What Is A Weak Classifier? – One not guaranteed to do better than random guessing (1 / number of classes) – Goal: combine multiple weak classifiers, get one at least as accurate as strongest ...
... What Is A Weak Classifier? – One not guaranteed to do better than random guessing (1 / number of classes) – Goal: combine multiple weak classifiers, get one at least as accurate as strongest ...
Time series
A time series is a sequence of data points, typically consisting of successive measurements made over a time interval. Examples of time series are ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average. Time series are very frequently plotted via line charts. Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, intelligent transport and trajectory forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements.Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. While regression analysis is often employed in such a way as to test theories that the current values of one or more independent time series affect the current value of another time series, this type of analysis of time series is not called ""time series analysis"", which focuses on comparing values of a single time series or multiple dependent time series at different points in time.Time series data have a natural temporal ordering. This makes time series analysis distinct from cross-sectional studies, in which there is no natural ordering of the observations (e.g. explaining people's wages by reference to their respective education levels, where the individuals' data could be entered in any order). Time series analysis is also distinct from spatial data analysis where the observations typically relate to geographical locations (e.g. accounting for house prices by the location as well as the intrinsic characteristics of the houses). A stochastic model for a time series will generally reflect the fact that observations close together in time will be more closely related than observations further apart. In addition, time series models will often make use of the natural one-way ordering of time so that values for a given period will be expressed as deriving in some way from past values, rather than from future values (see time reversibility.)Time series analysis can be applied to real-valued, continuous data, discrete numeric data, or discrete symbolic data (i.e. sequences of characters, such as letters and words in the English language.).