Browsing by Author "Rahman, Md Atiqur"

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Evaluating the biocatalytic potential of fruit peel-derived eco-enzymes for sustainable textile wastewater treatment
(2024-03-24) Das, Shohag Chandra; Khan, Olin; Khadem, Ashfaqul Hoque; Rahman, Md Atiqur; Bedoura, Sultana
The innovative utilization of compostable waste for synthesizing eco-enzymes presents a novel approach to textile wastewater treatment. In this study, we synthesized eco-enzymes from banana, pineapple, and orange fruit peels and characterized their biocatalytic and antimicrobial attributes. The eco-enzymes possess noteworthy protease, lipase, and amylase activity conducive to wastewater treatment. The one-way analysis of variance (ANOVA), revealed significant differences among eco-enzymes derived from different fruit peels (p < 0.05). Although all eco-enzymes demonstrated antimicrobial attributes, orange peel-derived eco-enzymes exhibited the most potent activity against both gram-positive and gram-negative bacterial strains. Besides, when subjected to eco-enzymes, the textile wastewater showed an 80–85% decrease in biological oxygen demand (BOD), an 81–85% reduction in chemical oxygen demand (COD), a 35–37% decrease in total dissolved solids (TDS), a 55–60% reduction in total suspended solids (TSS), substantial reduction in pH, and enhancement in dissolved oxygen (DO) content after 100 h of treatment. Additionally, ANOVA analysis on the efficacy of treating textile wastewater by eco-enzymes revealed significant differences from the conventional treatment method (p < 0.05). These findings underscore the potential of eco-enzyme treatment to produce distinctive and environmentally beneficial results in textile wastewater treatment.
Finding Optimal Locations for Electric Vehicle Charging Stations Based on Genetic Algorithm
(Department of Electrical and Electronic Engineering(EEE), Islamic University of Technology(IUT),, 2022-05-30) Nihal, Nafis Sadik; Rahman, Shahriar; Rahman, Md Atiqur
In this day and age, environment is the main concern. And to achieve a sustainable future regarding technology, electric vehicle can be a major gateway to reduce carbon emission. In Bangladesh, electric vehicle is not prominent when it comes to transportation. There are a lot of reasons behind this. But the most important one that needs to be solves is the lack of efficient charging stations infrastructure. A charging station infrastructure provides a quintessential service which is charging in between destinations. And for that purpose, they have to be located in such a way so that, the EVs can be charged in an efficient manner. This is where the necessity of optimal locations arises. The objective of this research is pretty simple. This research offers the best locations among other important location where a charging station should be built. Recent statistics shows us that Dhaka, the capital of Bangladesh, has become the most polluted city in the world. And it is very important to reduce carbon emission in this city where EVs can be of great help. In order to solve this problem, this research takes Banani, an important part of Dhaka city as a location in order to completer the thesis. Depending on the relevant information provided, this paper first tries to build a model which calculates the distance cost .Based on that, an objective function is formulated which takes distance cost minimization as its primary concern. An optimization algorithm is used to find the best and optimum locations. The algorithm is genetic algorithm which finds the fittest solution according to the objective function and the constraints provided. This solution solves the distance cost minimization problem under the constraints of the capacity of the charging stations and the location from where the EV flow will start. Finally, after finding the results, we have crosschecked them by changing the number of vehicles, the capacity of the locations and the number of charging stations itself to have a good idea on how this research actually served its purpose.
Preparation of New Flexible Antenna Based on Sol-Gel Synthesized MgxCa(0.9-x)Zn0.10Fe2O4 Nanoparticle for Microwave Imaging Applications
(Daffodil International University, 22-08-24) Rahman, Md Atiqur; Islam, Mohammad Tariqul; Hossain, Amran; Singh, Mandeep Jit; Albadran, Saleh Mohammad; Soliman, Mohamed S.; Samsuzzaman, Md
This article prepares, MgxCa(0.90-x)Zn0.10Fe2O4 nanoparticle-based new flexible microwave substrate materials to build flexible antennas. The MgxCa(0.90-x)Zn0.10Fe2O4 nanoparticles are synthesized using the sol-gel chemical method. There are three different weight percentages are chosen for “X” values i.e., X= 25%, 50%, and 75%. X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and transmission electron microscopy (TEM) studies are used to evaluate the structural and morphological features of the produced nanoparticles. Dielectric Assessment Kit is also used to evaluate the nanoparticles' tunable dielectric characteristics (DAK). Loss tangents range from 0.00275 to 0.00675 while dielectric permittivity values range from 3.25 to 4.75. The magnetic characteristics of the produced samples are also investigated using the vibrating sample magnetometer (VSM). The Agilent 8501E module is used to calculate the adjustable magnetic permeability and magnetic loss tangent values. The magnetic permeability and magnetic loss tangent values obtained are in the range of 1.00 to 1.15 and 0.0035 to 0.0065, respectively. Later, a flexible antenna is designed on the prepared flexible substrate that operates within the frequency range of 1.60 GHz to 3.00 GHz with a maximum gain of 5.15 dBi. After that, this antenna is incorporated with a nine-antenna array-based portable microwave head imaging system. Finally, successful brain tumor detection is observed by post-processing the collected scattering parameters with an image reconstruction algorithm. The overall results ensure that the MgxCa(0.90-x)Zn0.10Fe2O4 nanoparticle-based new flexible microwave substrate materials can be a potential candidate for microwave head imaging and are suitable to fit with microwave devices.