Browsing by Author "Islam, Md. Asiful"

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Construction of a plunger type experimental wave tank for validation studies
(IUT, MCE, 2016-11-20) Islam, Md. Ishmam; Islam, Md. Asiful; Asif Hossain, Mohammad
The design and construction of a small wave tank (flume) and associated equipment has been described. The wave tank is equipped with a plunger-type wave generator, capable of producing both regular and irregular waves. A variation of the rack and pinion gear mechanism often known as the reciprocating rack mechanism is utilized to transmit power from the motor to the plunger. A triangular wedge is used as plunger in the setup. Instrumentation includes a vernier depth gauge. The wave-maker is controlled by an induction motor via a Variable Frequency Drive (VFD) or inverter drive. From the survey reports by Khalilabadi et al. of wave absorbers used in different laboratories, a beach was designed for absorbing the waves coming from wave maker. The quality of waves is improved by keeping as little room as possible behind the plunger. The main advantage of this system over previous ones is the novelty of the plunger type wavemaker and low level cost utility.
Crop yield prediction using machine learning and deep learning
(BRAC University, 2023-01) Saha, Sarna; Islam, Md. Asiful; Anjum, Nishat; Mitul, Mahmudul Hasan; Zaman, Shakila; Shakil, Arif
Bangladesh is an agrarian country. Though, a substantial portion of our economy and workforce depends directly or indirectly on agriculture. However, due to climate change, floods, insufficient incentives, and less grist our farmers are getting demotivated in farming. As a result, more and more farmers are leaving the agriculture sector every year and this can cause devastating effects for Bangladesh. Moreover, there is little or no research on improving Bangladesh agriculture using cutting-edge machine learning techniques. So, this research works on Crop yield prediction Using Machine learning and deep learning. This work explores the different state-of-the-art machine learning and deep learning techniques and relevant dataset to develop an effective Crop yield prediction system for Bangladeshi farmers. So that our farmers can decide which crop to cultivate for gaining the maximum yield by following our prediction system.
Design of a Broadband Single Mode Hybrid Plasmonic Waveguide Incorporating Silicon Nanowire
(Optical Materials Express, 2020-01-03) Hasan, K. B. M. Rakib; Islam, Md. Asiful; Alam, M. Shah
In this work, we proposed a hybrid plasmonic waveguide for bulk index sensing, which is compatible with Mach-Zehnder interferometer sensing arrangement. The modal properties of the guiding geometry are investigated using the finite element method. This waveguide supports a long-ranging hybrid plasmon mode, which is highly confined in nanofluidic analytic channel due to the optical capacitance effect. Thus, an improved bio sensing performance is demonstrated with high Figure of merit at the telecommunication wavelength. The sensing performance is also analyzed here for a broad range of operating wavelength in order to examine the multi wavelength operability of the proposed hybrid plasmonic waveguide biosensor.