Md. Mahmudur Rahman

Work place: American International University, Bangladesh

E-mail: mahmudur@aiub.edu

Website:

Research Interests: Computer Vision, Image Processing

Biography

Md. Mahmudur Rahman completed his Masters in Computer Science and Bachelors in Computer Science and Engineering from American International University-Bangladesh (AIUB). He is currently working as a lecturer of Computer Science at American International University - Bangladesh (AIUB). His research interest in Image Processing, Deep Learning techniques, Computer Vision, Bio-Inspired strategy, Pattern Recognition, Object Tracking and more. Currently, He is working on various computer vision, pattern recognition, object tracking projects and research.

Author Articles
From Nature to UAV - A Study on Collision Avoidance in Bee Congregation

By Nahin Hossain Uday Md. Zahid Hasan Rejwan Ahmed Md. Mahmudur Rahman Abhijit Bhowmik Debajyoti Karmaker

DOI: https://doi.org/10.5815/ijisa.2024.03.06, Pub. Date: 8 Jun. 2024

Insects engage in a variety of survival-related activities, including feeding, mating, and communication, which are frequently motivated by innate impulses and environmental signals. Social insects, such as ants and bees, exhibit complex collective behaviors. They carry out well-organized duties, including defense, nursing, and foraging, inside their colonies. For analyzing the behavior of any living entity, we selected honeybees (Apis Mellifera) and worked on a small portion of it. We have captured the video of honeybees flying close to a hive (human-made artificial hive) while the entrance was temporarily sealed which resulted in the” bee cloud”. An exploration of the flight trajectories executed and a 3D view of the” bee cloud” constructed. We analyzed the behaviors of honeybees, especially on their speed and distance. The results showed that the loitering honeybees performed turns that are fully coordinated, and free of sideslips so thus they made no collision between themselves which inspired us to propose a method for avoiding collision in unmanned aerial vehicle. This paper gives the collective behavioral information and analysis report of the small portion of data set (honeybees), that bee maintains a safe distance (35mm) to avoid collision.

[...] Read more.
Other Articles