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Your search keyword '"Alduailij, Mona A."' showing total 18 results
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18 results on '"Alduailij, Mona A."'

6. Freezing temperature treatments against almond moth, Ephestia cautella(Walker), infestation of date fruits

Author

Aqeel, Nora Abdul Aziz M., Husain, Mureed, Rasool, Khawaja Ghulam, Sutanto, Koko D., Mankin, Richard W., Alduailij, Mona A., and Aldawood, Abdulrahman Saad

Abstract

Dates maintain prime importance as sources of income and as symbols of cultural heritage in Saudi Arabia. Ephestia cautella(Walker) is one of the most important insects that attack stored dates. In an effort to safeguard small-scale producers, temperatures of 5 °C (representing typical house refrigerator temperatures), − 14 °C (representing in-house freezer temperatures), and − 25 °C (representing temperatures in small factory freezers) were applied to samples of dates previously infested with E. cautellalarvae. Exposure periods of 1, 12, 48, 120, and 240 h were considered to assess the effectiveness of freezing temperatures against stored product insect pests. The temperature of − 25 °C proved to be the most effective, resulting in 100% mortality across all stages after just 1 h of exposure. At 5 °C, the pupal stage exhibited the highest tolerance, with only a mean mortality of 11% after 240 h of exposure. Conversely, at the same temperature, mean mortalities of 89% and 97% were recorded for eggs and larvae, respectively. However, when larvae were placed inside the dates, the mean mortality was only 65% after 240 h at 5 °C, complete larval mortality was achieved in 12 h at  − 14 °C and 1 h at − 25 °C. This information can guide strategies for managing E. cautellain storage facilities with limited available resources.

Published
2024
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7. An Optimized Approach for Spectrum Utilization in mmWave Massive MIMO 5G Wireless Networks.

Author

Abdelrahim, Elsaid Md., Alduailij, Mona, Alduailij, Mai, Mansour, Romany F., and Ghoneim, Osama A.

Subjects
MIMO systems, 5G networks, WIRELESS communications, HOUSEHOLD electronics industry, WORK environment
Abstract

Massive multiple-input multiple-output (MIMO) systems that use the millimeter-wave (mm-wave) band have a higher frequency and more antennas, which leads to significant path loss, high power consumption, and server interference. Due to these issues, the spectrum efficiency is significantly reduced, making spectral efficiency improvement an important research topic for 5G communication. Together with communication in the terahertz (THz) bands, mmWave communication is currently a component of the 5Gstandards and is seen as a solution to the commercial bandwidth shortage. The quantity of continuous, mostly untapped bandwidth in the 30-300GHz band has presented a rare opportunity to boost the capacity of wireless networks. The wireless communications and consumer electronics industries have recently paid a lot of attention to wireless data transfer and media streaming in the mmWave frequency range. Simple massive MIMO beamforming technology cannot successfully prevent interference between multiple networks in the current spectrum-sharing schemes, particularly the complex interference dispersed in indoor communication systems such as homes, workplaces, and stadiums. To effectively improve spectrum utilization and reduce co-channel interference, this paper proposes a novel algorithm. The main idea is to utilize the spectrum in software-defined mmWave massive MIMO networks through coordinated and unified management. Then, the optimal interference threshold is determined through the beam alignmentmethod. Finally, a greedy optimization algorithm is used to allocate optimal spectral resources to the users. Simulation results show that the proposed algorithm improved spectral efficiency and reduced interference. [ABSTRACT FROM AUTHOR]

Published
2023
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