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Studying the operation of MOSFET RC-phase shift oscillator under different environmental conditions
Ibrahim Reiham O.,Abd El-Azeem S.M.,El-Ghanam S.M.,Soliman F.A.S. 한국원자력학회 2020 Nuclear Engineering and Technology Vol.52 No.8
The present work was mainly concerned with studying the operation of RC-phase shift oscillator based on MOSFET type 2N6660 under the influence of different temperature levels ranging from room temperature (25 C) up-to135 C and gamma-irradiation up-to 3.5 kGy. In this concern, both the static (IeV) characteristic curves of MOSFET devices and the output signal of the proposed oscillator were recorded under ascending levels of both temperature and gamma-irradiation. From which, it is clearly shown that the drain current was decreased from 0.22 A, measured at 25 C, down to 0.163 A, at 135 C. On the other hand, its value was increased up-to 0.49 A, whenever the device was exposed to gamma-rays dose of 3.5 kGy. Considering RC-phase shift oscillator, the oscillation frequency and output pk-pk voltage were decreased whenever MOSFET device exposed to gamma radiation by ratio 54.9 and 91%, respectively. While, whenever MOSFET device exposed to temperature the previously mentioned parameters were shown to be decreased by ratio 2.07 and 46.2%.
K.G. Abdel-Kader,A.A.M. Ismail,F.A.S. Soliman,A.S.S. El-Kabbani,A.Yahya,A.M. Abdel-Maksood 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.12
Recent developments in airborne magnetic detection systems have made it possible to detect much small magnetic objects such as unexploded ordnance. However, the data sets are extremely large and the measurements must be processed and interpreted. Therefore, there is an increasing need for a fully automatic processing and interpretation techniques that can be used to make decisions regarding the nature of the source in real time. So, the aim of the present paper is to shed further light on the real time correction of parallax/Lag -and air-condition-noises in airborne magnetic data acquisition. A novel electronic technique, based on micro-controllers design and implementation, was designated for real-time processing applications. The proposed technique shows excellent airborne magnetic data results considering actual field examples. The proposed technique verifies an accurate and objective tool for magnetic objects detection compared with the existing PEI tools considering cost and processing automation capabilities.
Abbass Mohammed Y.,Sadic Nevein,Ashiba Huda I.,Hassan Emad S.,El-Dolil Sami,Soliman Naglaa F.,Algarni Abeer D.,Alabdulkreem Eatedal A.,Algarni Fatimah,El-Banby Ghada M.,Abdel-Rahman Mohamed R.,Aldosar 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
Infrared (IR) image sequences are acquired with certain types of cameras. These cameras give the sequence of images according to the heat distribution. With time, some deterioration of the quality of the sequence occurs due the thermal noise eff ect generated in the camera. This thermal noise eff ect leads to some sort of non-uniformity in the obtained image sequence. Hence, it is necessary to perform some sort of non-uniformity correction in the video sequence according to the fi rst frame. This type of non-uniformity correction is scene-based. This paper introduces a scene-based non-uniformity correction technique that depends mainly on histogram matching. The noise eff ect on each frame in the sequence leads to some drift in the histogram of that frame. Hence, the proposed technique depends on the histogram matching concept to correct the histogram of each frame in the sequence based on the histogram of the fi rst frame that is free from the thermal noise eff ect. Diff erent image quality metrics including entropy, contrast, edge intensity, average gradient, and correlation with the fi rst frame are adopted to assess the quality of the obtained frames after adjustment. It is required in the frames to be corrected to reduce entropy, edge intensity and average gradient as these metrics are increased with the presence of thermal noise eff ect on all pixels represented as much details and unnecessary information. In addition, the contrast of the video sequences should be increased to determine objects in a better way. The correlation of the corrected frames with the fi rst one should be increased to reduce the noise eff ect. Simulation results reveal enhanced quality of the obtained video sequences after processing with the proposed technique.