5 research outputs found

    Investigating The Effect of Switching and tripping on Flashover and Breakdown in Circuit Breaker

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    The need for electrical power is increasing rapidly. The power is transmitted over long distance that made it establish to use high voltage .this need to created circuit breaker. Are an essential part of power system and it plays a major role in study and control. Circuit breaker use SF6 gas circuit breaker as insulation medium. The paper interested in study the SF6 gas circuit breaker; characteristics and advantages and how to deal with it, The paper interested in investigating the effect of switching, tripping on flashover and breakdown on SF6 gas circuit breaker. It shows the main factors which that effected in the SF6 gas circuit breaker performance and which caused faults flashover and tripping. The factors that caused faults may be from the circuit breaker itself or may be related with any part from circuit breaker such as transmission line location. Keywords: SF6 gas circuit breaker, circuit breaker, transmission line, location and moisture

    Off-line handwritten signature recognition by wavelet entropy and neural network

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    Handwritten signatures are widely utilized as a form of personal recognition. However, they have the unfortunate shortcoming of being easily abused by those who would fake the identification or intent of an individual which might be very harmful. Therefore, the need for an automatic signature recognition system is crucial. In this paper, a signature recognition approach based on a probabilistic neural network (PNN) and wavelet transform average framing entropy (AFE) is proposed. The system was tested with a wavelet packet (WP) entropy denoted as a WP entropy neural network system (WPENN) and with a discrete wavelet transform (DWT) entropy denoted as a DWT entropy neural network system (DWENN). Our investigation was conducted over several wavelet families and different entropy types. Identification tasks, as well as verification tasks, were investigated for a comprehensive signature system study. Several other methods used in the literature were considered for comparison. Two databases were used for algorithm testing. The best recognition rate result was achieved by WPENN whereby the threshold entropy reached 92%

    Room-Temperature Hysteresis in a Hole-Based Quantum Dot Memory Structure

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    We demonstrate a memory effect in self-assembled InAs/Al0.9Ga0.1As quantum dots (QDs) near room temperature. The QD layer is embedded into a modulation-doped field-effect transistor (MODFET) which allows to charge and discharge the QDs and read out the logic state of the QDs. The hole storage times in the QDs decrease from seconds at 200 K down to milliseconds at room temperature

    Darcy flow and heat transfer of nanoliquid within a porous annulus with incorporating magnetic terms

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    Current investigation was carried out to analyze the treatment of nanomaterial within a domain which experienced magnetic force. Outer rhombus wall is cold and the inner circle has uniform heat flux and due to these conditions, carrier fluid rotates counterclockwise. Darcy law was used for simulation and Joule heating was neglected in equations. Influences of parameters were discussed in plots and contours and CVFEM has been employed to reach such outputs. Rotational core becomes stronger with the rise of Ra while opposite results have been accomplished with the soar of Ha. In cases with higher values of shape factor, Nu has higher values and a similar trend is reported for Rd. Moreover, Nu experiences 30% reduction when Ha augments. This negative impact becomes more sensible when radiation terms are added in equations. Inclusion of nano powders has a favorable impact on Nu although it has a negative impact on temperature gradient
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