Results 271 to 280 of about 2,040,814 (309)
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Probability-Weighted Robust Optimization for Distributed Generation Planning in Microgrids
IEEE Transactions on Power Systems, 2018Distributed generation (DG) has been rapidly integrated into microgrids. However, uncertain power generation of intermittent DG such as wind turbines brings challenges to the DG planning problem.
Cuo Zhang, Yan Xu, Z. Dong
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Bayesian Neural Network Realization by Exploiting Inherent Stochastic Characteristics of Analog RRAM
International Electron Devices Meeting, 2019For the first time, this paper develops a novel stochastic computing method by utilizing the inherent random noises of analog RRAM. With the designed analog switching characteristics, the RRAM device can realize the function of sampling from a tunable ...
Yudeng Lin +11 more
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Signal probability calculation in Boolean functions using graph oriented realization
ICM 2000. Proceedings of the 12th International Conference on Microelectronics. (IEEE Cat. No.00EX453), 2002This paper presents a method for signal probability calculation in digital circuits, using graph-oriented realization (GOR) (Ghaznavi-Ghoushchi, 1998). It starts from BDD cutset graphs, and computes the probability by incorporating the "high"-terminated cutsets. The correlations between cutsets are accounted for.
M.B. Ghaznavi-Ghoushchi, A. Nabavi
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2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), 2019
The paper is devoted to designing of the Fast ReRoute QoS protection scheme for bandwidth and probability of packet loss in Software-Defined WAN. The solution represented by a nonlinear flow-based model of fast rerouting with the protection of such two ...
Oleksandr V Lemeshko +5 more
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The paper is devoted to designing of the Fast ReRoute QoS protection scheme for bandwidth and probability of packet loss in Software-Defined WAN. The solution represented by a nonlinear flow-based model of fast rerouting with the protection of such two ...
Oleksandr V Lemeshko +5 more
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Impact of public support on the innovation probability in Chilean firms
Economics of Innovation and New Technology, 2018This research evaluates the impact of public funding on the probability of performing various innovative activities in Chilean firms during the period of 2007–2014, using binary choice models applied to a pseudo-data panel.
C. Mardones, A. Zapata
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Compromise optimization of a composite plate with a given probability of realization
Mechanics of Composite Materials, 1997A method is proposed for solution of the problem of the compromise optimization of three properties of a composite plate (thermal conductivity, stability, and the probability P* of design realization), which depend on three initial stochastic data with constant average values, and two variable initial data.
G. A. Teters, A. F. Kregers
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Semi-Empirical Single Realization and Ensemble Crest Distributions of Long-Crest Nonlinear Waves
Volume 1: Offshore Technology, 2018In wave basin model test of an offshore structure, waves that represent the given sea states have to be generated, qualified and accepted for the model test. We normally accept waves in wave calibration tests if the significant wave height, spectral peak
Z. Huang, Yu Zhang
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Physical Review Letters, 1994
We study the fluctuations of the probability density [ital P]([ital r],[ital t]) of diffusing particles to be at distance [ital r] at time [ital t] in the presence of random potentials, represented by random transition rates. We find an exact relation which expresses all the moments of [ital P]([ital r],[ital t]) in terms of its first moment, for both ...
, Eisenberg, , Havlin, , Weiss
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We study the fluctuations of the probability density [ital P]([ital r],[ital t]) of diffusing particles to be at distance [ital r] at time [ital t] in the presence of random potentials, represented by random transition rates. We find an exact relation which expresses all the moments of [ital P]([ital r],[ital t]) in terms of its first moment, for both ...
, Eisenberg, , Havlin, , Weiss
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Multimedia Tools and Applications, 2018
In this paper, we proposed context-based probability neural network (CPNN) classifiers for solving a medical decision making problems. The concept of “contexts” coming from the clustering research area is explored here to construct the second layer of probability neural network classifiers.
Dan Wang, Shaohua Wan, Nadra Guizani
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In this paper, we proposed context-based probability neural network (CPNN) classifiers for solving a medical decision making problems. The concept of “contexts” coming from the clustering research area is explored here to construct the second layer of probability neural network classifiers.
Dan Wang, Shaohua Wan, Nadra Guizani
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Realized Probability Index is a Better Market Timing Indicator
Studies in Nonlinear Dynamics & EconometricsAbstract In practice, market timing is a well-known trading strategy among investors, and different indicators have been proposed for market timing methods. This paper compares three indicators used in market timing strategy: the return, the 0–1 binary index, and the realized probability index. It is shown that realized probability index
Haibin Xie +3 more
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