Page 65 - tech fest 2025 ב״ש חוברת תקצירים

Book of Abstracts | 2025
Reduction of Elements in Linear Phased-Array Antenna
EEE-A-07
David Bronshtein; davidbr3@ac.sce.ac.il
Advisor: Dr. Svetlana Bronshtein
SCE - Shamoon College of Engineering, Be’er-Sheva
The reduction of elements in antenna arrays has been widely researched and implemented using various optimization methods. Most of these techniques focus on improving the radiation pattern, but they often fail to provide a practical method for reducing the number of physical elements in the array. Instead, they concentrate solely on patterns. In our work, we presented a direct approach for the
determination of the element position in a non-uniformly spaced antenna array, while preserving the same radiation broadcast features, primarily maintaining the same main lobe characteristics while reducing the maximum sidelobe level. This method presents a direct way to minimize the number of elements for a given length of the array. It was tested by array simulation and was compared with a regular array of the same size.
Keywords: elements, main lobe, radiation pattern
Dense, True-Scale 3D Reconstruction Using Stereo RGB-D Images, by Fusion of Depth Data and Epipolar Geometry
EEE-A-08
Matan Tzvi Danoch; matanzve@gmail.com Lital Zargari; lital.zargari@gmail.com
Advisor: Dr. Amit Efraim
SCE - Shamoon College of Engineering, Be’er-Sheva
The goal of this project was to reconstruct real-scale 3D models using pairs of RGB-D images. RGB-D cameras, which combine depth and color data, offer an advantage by providing accurate, real-scale information within a single framework, enabling detailed 3D model creation. However, the effective range limitation of depth sensors, approximately 3 meters, poses a significant constraint. Conversely, using RGB image pairs allows for depth map creation without range limitations, but it lacks precise real-scale information. This project combined both methods, utilizing the true-scale data from RGB-D cameras and the increased range reconstruction from RGB images. The result was a dense, accurate, real-scale depth model that combines the advantages of depth data accuracy with increased measurement freedom.
Keywords: 3D models, depth, RGB image, true-scale
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