نتایج جستجو برای: output reduction
تعداد نتایج: 665182 فیلتر نتایج به سال:
Simulation and Comparison of Twenty Five Level Diode Clamped & Cascaded H-Bridge Multilevel Inverter
This paper presents the comparative study of three phase twenty five level diode clamped and cascaded H-bridge multilevel inverters. The comparison is made in respect of requirement of devices, quality of output voltage and reduction of total harmonic distortion at the multilevel inverter terminals. In this work multicarrier sinusoidal pulse modulation control methods of Phase disposition (PD-P...
The use of Subsequential Transducers (a kind of FiniteState Models) in Automatic Translation applications is considered. A methodology that improves the performance of the learning algorithm by means of an automatic reordering of the output sentences is presented. This technique yields a greater degree of synchrony between the input and output samples. The proposed approach leads to a reduction...
The use of Subsequential Transducers (a kind of Finite-State Models) in Automatic Translation applications is considered. A methodology that improves the performance of the learning algorithm by means of an automatic reordering of the output sentences is presented. This technique yields a greater degree of synchrony between the input and output samples. The proposed approach leads to a reductio...
We consider the optimal H2 model reduction for large scale multiinput multi-output systems via tangential interpolation. Specifically, we prove that for general multi-input multi-output systems, the tangential interpolationbased optimality conditions and the gramian-based optimality conditions are equivalent. Based on the tangential interpolation, a fast algorithm is proposed for the optimal H2...
In this paper a new optimization function for increasing the flux weakening range and output torque value of segmented interior permanent magnet synchronous motor (SIPMSM) is presented. In proposed objective function normalized characteristic current and saliency ratio are considered as two optimization variables during optimization process. The focus of this paper is rotor structure design suc...
The main objective of this paper is to expound the singular-value-decomposition (SVD)-based reduction technique proposed to single-input–single-output Takagi-Sugeno (TS) fuzzy models to multivariable cases. The use of higher order singular value decomposition is proposed in this paper for the complexity reduction of multiple-input–single-output TS fuzzy model approximation. A detailed illustrat...
this study aimed to examine the effectiveness of combined microwave-ultrasonic pasteurization system on escherichia coli and vitamin c content in sour cherry juice (scj). based on the findings, microwave output power, ultrasound power, and ultrasonic exposure time as well as the microwave-induced temperature were the most effective factors in reducing e. coli and vitamin c content. in addition,...
This article combines two techniques: data envelopment analysis (DEA) and Factor analysis (FA) to data reduction in decision making units (DMU). Data envelopment analysis (DEA), a popular linear programming technique is useful to rate comparatively operational efficiency of decision making units (DMU) based on their deterministic (not necessarily stochastic) input–output data and factor analysi...
This paper presents a variable Speech Distortion Weighted Multichannel Wiener Filter (SDW-MWF) based on soft output Voice Activity Detection (VAD) which is used for noise reduction in hearing aids. A traditional SDW-MWF uses a fixed parameter to trade-off between noise reduction and speech distortion. Consequently, the improvement in noise reduction comes at the cost of a higher speech distorti...
Why do neural responses decrease with practice? We used a predictive neural network model of sentence processing (St. John &McClelland, 1990) to simulate neural responses during language understanding, and examined the model’s correlate of neural responses (specifically, the N400 component), measured as stimulus-induced change in hidden layer activation, across training. N400 magnitude first in...
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