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Articles by Omar M. Eshanta
Total Records ( 2 ) for Omar M. Eshanta
  Omar M. Eshanta , M. Ismail , K. Jumari and P. Yahaya
  In IEEE 802.16, one of the main features is the QoS-Provisioning. The limited bandwidth and the increasing of the high data rate service users will impact the performance of the system. In this study, we propose a VHO algorithm that can support the provisioning of QoS in mobile WiMAX networks by handing over some Best-Effort (BE) low-speed WiMAX Subscriber Station (SS) to an overlaid WLAN network subject to the QoS guarantee for the SS. Our simulation results show that by utilizing the overlaid WLAN hotspots we can gain some free band for the new SS requests. According to our simulation results a significant improvement in the capacity and the probability of blocking (PB) in WiMAX network was achieved.
  Meftah Salem M. Alfatni , Abdul Rashid Mohamed Shariff , Helmi Zulhaidi Mohd Shafri , Osama M. Ben Saaed and Omar M. Eshanta
  This research deals with the ripeness grading of oil palm fruit bunches. The current practice in the oil palm mills is to grade the oil palm bunches manually using human graders. This method is subjective and subject to disputes. In this research, we developed an automated grading system for oil palm bunches using the RGB color model. This grading system was developed to distinguish between the three different categories of oil palm fruit bunches. The maturity or color ripening index was based on different color intensity. Our grading system employs a computer and camera to analyze and interpret images equivalent to the human eye and brain. The colors namely Red, Green and Blue (RGB) of the palm oil fruit bunch were investigated using this grading system. The computer program developed and used the mean color intensity to differentiate between the different color and ripeness of the fruits such as oil palm FFB. The program results showed that the ripeness of fruit bunch could be differentiated between different categories of fruit bunches based on RGB intensity.
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