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In this paper, an approach for increasing the sustainability of inverter-based memristive neuromorphic circuits in the presence of process variation is presented. The approach works based on extracting the impact of process variations on the neurons characteristics during the test phase through a proposed algorithm. In this method, first, some combinations of inputs and weights (based on the neuromorphic...
Dissolved gas analysis is a most prevailing and effective condition monitoring tool now a days, used for the detection of incipient faults in the oil-immersed transformer in service, as it is highly sensitive to small amount of thermal and electrical faults. In this work, a system based on condition diagnosis is developed to combine two classical techniques for Dissolved gas analysis (DGA) assessment...
Upcoming Wireless networks have been emerging in the real world applications as well as in researching. Multihop characteristics of ad hoc networks may lead to most of their challenges. Selfishness is an inevitable behavior in these networks and many researches have been performing to thwart it. In this paper we investigate some game theory selfish model and incentive VCG payments to motivate relay...
In this study, a novel method for estimating wrist forces from surface electromyogram (EMG) measured from the upper limb is proposed, which can be applied for unilateral transradial amputees. Three degrees of freedom (DoFs) of wrist including flexion-extension, abduction-adduction, and pronation-supination were used. We first classify feature vectors extracted from the EMG signals into three classes...
This paper addresses design and implementation of an Industrial Generalized Predictive Controller with the aid of artificial neural networks (ANNs) for multivariable processes via industrial Programmable Logic Controllers (PLCs). Nowadays, Although PLCs are the widely accepted computer-based industrial controllers due to their remarkable advantages, implementation of advanced control techniques is...
Nowadays, many researches are made to estimate some of socio-economic variables in which methods such as regression, time series (ARIMA, AR and etc.), Artificial Neural Networks (ANN) and so on are used. In this paper integrated System Approach and ANN are applied for estimating affects of subsidy on electricity consumption and social welfare. Actual electricity price is estimated by ANN, which has...
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