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One of the most challenging issues of granular jamming robots is both predicting and measuring the stiffness variations which are a direct function of elastic module. In this regard, in previous researches, it had demonstrated that the elastic module of robot's bulk is a fundamental function of vacuum pressure and must be acquired by experimental tests. However, there was not a unique formulation...
In this paper, we propose two new information criteria to select the desired model order for probability density function (PDF) estimation using the maximum entropy method (MEM). These two proposed information criteria are based on Akaike information criterion (AIC) and Bayesian information criterion (BIC), respectively. The PDF estimation using MEM can be presented using integer and fractional moments...
In this paper, for the first time, a high-impedance fault indicator (HIFI), to be mounted on the poles of distribution feeders, is proposed to detect and track down the location of high-impedance faults (HIFs). The main contribution of this paper is the investigation of employing the magnetic-field strength signal, measured in the vicinity of the conductors of a feeder, to detect HIFs based on a novel...
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framework, we represent a facial image exhibiting the combination of AUs as a sparse linear combination of basis constituting an overcomplete dictionary. We build an overcomplete dictionary whose main elements are mean Gabor features...
The trapezoidal back-emf synchronous motor which is called brushless DC (BLDC) motor is receiving wide attention for industrial applications because of its high torque density, high efficiency and small size. This kind of electrical motors is a typical example of highly coupled, nonlinear systems. In the first part of this paper an intelligent agent based on Adaptive Neuro-Fuzzy Inference System (ANFIS)...
In this paper a new algorithm for detection and location of multi defects along a cable section of a network is introduced. These tasks are performed based on the Traveling Wave (TW) components measured at the two accessible cable ends. To reduce the calculation burden, a recursive formulation for obtaining TW components is presented. The algorithm is extended by Mathematical Morphology (MM) which...
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