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RISS 인기검색어
- 검색키워드
- 저자 : Ghada Samy (검색결과 2 건)
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Worth of the Three Dimensional Simulations of Seepage in the Vicinity of Heading-up Structures
Mohamed A. Gad,Doaa Anas,Nahla A. Atta,Ghada Samy 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.2
This paper evaluates the three dimensional effects in studying seepage in the vicinity of heading up structures. An artificial heading-up structure installed on pervious soil is studied using both a 3D model (Seep3D) and a vertical 2D model (SEEP2D). The uplifts under the apron and the exit gradients resulting from both models are compared for different structure configurations including the presence and lack of sheetpiles for both laterally homogeneous and heterogeneous conditions. In addition, the effects of downstream wing walls (guide walls) on seepage are also assessed. The results showed that the exit gradient in the 3D simulations can reach almost double its value in the 2D simulations in different configurations. The existence of downstream guide walls can also lead to significant increase in the exit gradient. The paper proves that studying seepage in 3D can significantly become critical over the traditional 2D approach especially in cases of significant lateral heterogeneity.
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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.
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