نتایج جستجو برای: sequential indicator simulation
تعداد نتایج: 711295 فیلتر نتایج به سال:
abstract according to increase in electricity consumption in one hand and power systemsreliability importance in another , fault location detection techniqueshave beenrecentlytaken to consideration. an algorithm based on collected data from both transmission line endsproposed in this thesis. in order to reducecapacitance effects of transmission line, distributed parametersof transmission line...
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
Aircraft engine manufacturers collect large amount of engine related data during flights. These data are used to detect anomalies in the engines in order to help companies optimize their maintenance costs. This article introduces and studies a generic methodology that allows one to build automatic early signs of anomaly detection in a way that is understandable by human operators who make the f...
This paper discusses the measurement of poverty and well-being. A historical overview is given of the last fifty years. This is followed by discussion of three groupings of indicators: those measures based primarily on economic well-being; those based on non-economic well-being and composite indicators. It is argued that the choice of indicator should reflect its purpose and that economic measu...
This paper explores temporal aspects of control behavior in order to support the design of systems where functions can be allocated flexibly in time. Dynamic Function Scheduling, an extension of Dynamic Function Allocation approaches, highlights the role of temporal information and temporal reasoning in supervisory control decisions. The microworld experiment presented 30 participants with a su...
We present a method for obtaining efficient probabilistic solutions to geostatistical and linear inverse problems in spherical geometry. Our Spherical Direct Sequential Simulation (SDSSIM) framework combines information from possibly noisy observations, that provide either point on the model or are related by averaging kernel, statistics derived a-priori information. It generates realizations m...
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