GUB Journal of Science and Engineering <p>Published by the Green University Press, Dhaka, Bangladesh. Full text articles available.</p> <p><img class="alignright" src="" alt="image" width="88" height="31"><br>Articles in the <em>GUB Journal of Science and Engineering</em> are Open Access articles published under the Creative Commons CC BY-NC-ND License <span class="cc-license-title"><a href="" target="_blank" rel="noopener">Attribution-NonCommercial-NoDerivatives 4.0 International License</a><br></span></p> en-US <p>Authors who publish in the GUB Journal of Science and Engineering agree to the following terms that:</p> <ol> <li class="show">Authors retain copyright and grant the GUB Journal of Science and Engineering the right of first publication of the work.</li> <li class="show"><img class="alignright" src="" alt="image" width="88" height="31"><br> Articles in GUB Journal of Science and Engineering are licensed under a Creative Commons CC BY-NC-ND License <a href="">Attribution-NonCommercial-NoDerivatives 4.0 International License.&nbsp;</a>This license permits <strong>Share</strong> — copy and redistribute the material in any medium or format.</li> </ol> <p><strong>Copyright and Reprint Permissions</strong></p> <ol> <li class="show">Individual contributions contained in it are protected by the copyright of Green University of Bangladesh.</li> <li class="show">Photocopies of this journal in full or parts for personal or classroom usage may be allowed provided that copies are not made or distributed for profit or commercial advantage and the copies bear this notice and the full citation.</li> <li class="show">Copyright for components of this work owned by others must be honored. 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Permission of the publisher is required for all other derivative works, including compilations and translations.</li> <li class="show">Except as outlined above, no part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, such as electronic, mechanical, photocopying, magnetic recording or otherwise, without prior written permission of the publisher.</li> <li class="show">Permissions may be sought directly from the office of the executive editor of GUB Journal of Science and Engineering through E-mail at <a href=""><u></u></a>.</li> </ol> <p><strong>Notice</strong></p> <ul> <li class="show">Responsibility for the contents of an article rests upon the author(s) and not upon the editor or the publisher. Therefore, on responsibility is assumed by the publisher for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, product instructions or ideas contained in the material herein.</li> </ul> (Professor Dr. Md. Abdur Razzaque) (Md. Fahmid Uddin Khondoker) Wed, 16 Nov 2022 10:28:08 +0000 OJS 60 Prediction of COVID-19 Spreading using LSTM Recurrent Neural Networks in Southeast Asia <p>The world has come to a standstill due to the coronavirus. The number of confrmed cases and the number of deaths are increasing day by day. Now accurate and real-time predictions are very important. Currently, a lot of work is being done on the spread prediction of coronavirus. If we can predict the number of corona patients in a country in advance, then it will be benefcial for the government of that country to take action in advance. In this paper, we experiment with Bangladesh and India data using the deep learning method. We have used LSTM (LONG SHORT-TERM MEMORY) neural network which is a type of recurrent neural network. The LSTM method can work very well even with very little data. Since we do not currently have much data on covid19, LSTM neural networks may be a suitable model. We have got very good prediction results using this method even with very little data. The prediction of various parameters (number of confrmed cases per day, number of deaths per day, number of total confrmed cases, and number of total deaths). We also calculate MAPE, MAE, and RMSE values and compare them among different models. Our modeloutperforms others’ models. We think this research will be a benefcial tool for administrators and health offcials.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 1-6</p> Md Moshiur Rahman, Sumaiya Kabir Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000 Applications of the Internet of Things (IoT) for Developing Sustainable Agriculture: A Review <p>By natural process, the world population will in-crease day by day. In rhythm, the tendency of the food will also be rising. So, it is a great challenge to supply food and increase its availability for the huge amount of people of the world, which helps to fulfill their fundamental civil rights. Nowadays, many agriculturedependent countries are fully dependent on the orthodox agriculture process. To develop such types of conditions, people should attract to modern cultivation practices. In the modern era, the Internet of things (IoT) is an optimal solution for preventing such types of challenges. IoT can connect with neoteric agriculture technology. Byusing this technique, farmers can directly connect themselves and control their felds and monitor their feld environmental conditions from anywhere around the world. By the use of unique forms of sensors, models, strategies, and technologies farmers can collect much real-time information and it helps a bearer to increase his productivity of farming. The goal of this paper is to reconsider some very recent works on smart and prompt agriculture processes. In this review paper, we have spoken about the techniques, and methodologies and summarized the state-of-the-art literature. We also made a comprehensive discussion and profound analysis of those recent works. Finally, we have given some future suggestions about smart farming techniques based on our discussion and analysis.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 7-16</p> Najmus Sakib Sizan, Diganta Dey, Md Solaiman Mia Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000 A Comparative Analysis of Convolutional Neural Networks for Trash Classification <p>In the era of the twenty-first century, automation is the biggest fi eld of research. Although several works have been done successfully, there is still so much to do. Increasing trash could be the biggest threat to a better human life in the future. To automate the task, machines need to understand the type of trash to be recycled or separate similar trash for recycling. For this process, the perfect classi cation of trash plays a vital role in making a better life and a cleaner world. There are so many popular convolutional neural network (CNN) models for image classi cation. In this work, we examine and analyze the outcomes of several Residual Network(ResNet) and Visual Geometry Group (VGG) CNN models on a trash dataset. Our main investigation is the accuracy evaluation for different VGG and ResNet models where the training dataset, test dataset, number of epochs, and batch size are the same for all the models. Finally, we compare VGG and ResNet models with each other. We have got the peak accuracy for ResNet152 among all ResNet models and the peak accuracy on VGG16 among all VGG models. And we have got the maximum accuracy on ResNet152 among all the ResNet and VGG models which is about 94%.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 17-23</p> Md Atikuzzaman, Md Parvez Hossain, Md Zahidul Islam, Syed Ahsanul Kabir Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000 The Impact of Neutral Enzyme on Jute-Cotton Blended Denim Fabric <p>Garments washing is the process of altering the aesthetic look, luxury, fashion, and comfortability of a garment after it has been manufactured. Most garments nowadays go through many washing processes before being sold in retail outlets. As denim is one of the most adaptable fabrics available today, the aesthetics may be reinvented in an infinite number of ways through garments washing techniques. Because of the rough and stiff nature of jute fiber, it is not currently used as a popular material for garments manufacturing. A sustainable option may be possible by using jute and cotton blended fabric in manufacturing. Moreover, enzyme is a naturally occurring product. Therefore, the product is environmentally friendly. In a washing bath, the enzyme functions as a catalyst to hydrolyze fiber, soften the fiber surface, and decrease pilling. The experiment was conducted on a 70 percent cotton, 30 percent jute blended fabric with a weave construction of 2/1 twill. The goal of this study is to observe how an industrial enzyme wash affects a jutecotton blended denim fabric. For this investigation, neutral enzyme was used. Finally, the raw and washed samples was compared in terms of physical parameters such as EPI, PPI, GSM, warp strength, and weft strength. This research may unlock a way for enzymatic treatment on jute cotton blended denim fabric.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 24-28</p> Md Mazharul Helal, Md Mutasim Uddin, Md Mahbubur Rahman, Md Shariful Alam Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000 Atmospheric CO2 Capture by Microalgae Culturing: A Critical Review <p>With rising fuel demands, the carbon which is avowed as inefficient energy sources is continually declining. This method is a promiscuous way not of lowering CO<sub>2</sub> emissions but of producing economic benefits. The physiochemical conversion of carbon dioxide into chemical (energy) goods without contamination. The production of microalgae will thus help to repair CO<sub>2</sub> and biofuels sources. In this present work, we have done a comprehensive reviewed in this paper that carbon dioxide capture mechanism, contribution of microalgae for biomass production. As a result of using microalgae (S. platensis, Salmeriensis, and Scenedesmus dimorphus are capture maximum CO2 respectively of 1.00 and 0.81gL<sup>−1</sup> d<sup>−1</sup>, 1.0gL<sup>−1</sup>day<sup>−1</sup>-2.8gL<sup>−1</sup>day<sup>−1</sup> and 0.8g CO<sub>2 </sub>L<sup>−1</sup>d<sup>−1</sup> with the production of microalgae biomass (&lt;0.4g L<sup>-1</sup>day<sup>-1</sup>, 129.24 mg<sup>−1</sup>d<sup>−1</sup>, and 0.44gcel L<sup>−1</sup>d<sup>−1</sup>) in wastewater. The overall cost of the process is considerably reduced when these light conversion and chemical processes are combined, making carbon dioxide collection even more economically viable. Microalgae was used on extensively for biodiesel production and carbon dioxide reduction, and the processes were significantly enhanced with the use of microalgae. To conclude microalgae holds a strong promise in the 21st-century biofuel industry and environmentally friendly by capturing CO<sub>2</sub>.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 29-35</p> Md Shamim Hasan, Md Mahmud Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000 The Benefits of using Computerized system over Manual System in Apparel Production <p>Bangladesh's clothing industry is the backbone of the country's economy. One of the most crucial first phases in the apparel industry is to create and develop garment patterns based on the anticipated apparel's specifications, and then to plan the marker and cut the fabric according to the pattern pieces. These can be done manually or with the use of Computer Aided Design (CAD) and Computer Aided Manufacturing (CAM) software (CAM). The garment business has been transformed by computer-aided design (CAD) and computer-aided manufacturing (CAM). Because fabric costs account for a large portion of the cost of garment manufacture, it is critical to properly utilize the fabric and reduce the percentage of fabric waste (percent). Additionally, minimizing production time will reduce lead time even more. Although CAD/CAM is expensive, it has a number of economic and technological advantages over other methods.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 36-40</p> Avijeet Datta, Md Mutasim Uddiin, Md Mahbubur Rahman, Md Mazharul Helal Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000 Numerical Simulation of an Improved CZTS/WS2 PV Cell by SCAPS 1-D <p>CZTS solar cells are promising among the third-generation solar cell. Because of its earth abundant materials and less toxicity CZTS solar cell can perform a sustainable role as an absorber layer. The optimization of a buffer layer is still a challenge and efficiency are still low than other thin film solar cells. In this study, WS2 buffer layer have been used to simulate the PV cell structure in SCAPS-1D simulation software. No research has been found where CZTS and WS2 is used together. We have achieved a maximum efficiency of η = 18.90 % at 300 K working temperature and other factors i.e., Voc, Jsc and FF are also promising. The highest certified efficiency of CZTS solar cell is nearly 12%. The simulation profile can be a guideline for fabricating the improved PV cell.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 41-48</p> AA Md Monzur Ul Akhir, Md Touhidul Imam Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000 Approximate Shortest Distance and Direction between two Places on the Spherical Earth and the Oblate Spherical Earth <p>Differential geometry is an important aspect of current physics and the study of any planar surface. Quantum mechanics and modern science are developing with the help of differential Geometry in daily life. In this paper, we discuss two mathematical formulas named Haversine formula for spherical earth and Lambert’s formula for oblate spherical earth. These formulas are used to determine the shortest distance between two points on Earth, as well as the sine formula for determining the direction of various locations towards the North Pole. Some examples of different locations are illustrated in this literature which gives a better overview.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 49-56</p> Md Humayun Kabir, Umme Ruman, Sharmin Alam, Shamima Islam, Jakia Sultana, Md Monirul Islam Copyright (c) 2021 Green University of Bangladesh Wed, 16 Nov 2022 00:00:00 +0000