NSU INSTITUTIONAL REPOSITORY

North South University Institutional Repository showcases the university's intellectual contributions, including journal articles, conference proceedings, theses, and more. Explore the latest research and advance your knowledge today!


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Recent Submissions

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Open Access
Covid-19 Tracker Bd Application Based on Android
(North South University, 2020) Aaquib Javed; Sayem Mahmud; Shumaiya Karim; Zahir Mohammad Mishaal; Syed Athar Bin Amir; 1611205042; 1611231042; 1330056043; 1520082043
To understand the exact coronavirus outbreak and the way it quickly surges worldwide, many countries are adopting non-therapeutic preventive measures, which include travel bans, remote work, complete country lockdowns, regular updates on this pandemic, and most importantly, social distancing. However, these measures face challenges in Bangladesh, which is known as the world's densely populated country. This war-like situation, a lower-middle-income economy, put this country and the government in a big challenge to implement the mitigation facilities. As a densely populated country, it is quite a challenge to maintain social distancing in many areas of the country. At a local level, mobile sanitization, temporary quarantine sites, and healthcare facilities could help mitigate the impact of the pandemic, and health experts, along with international assistance, can enable the country to minimize the impact of the pandemic. To minimize the impact and to spread more awareness in the country we need to take more steps for spreading the awareness, so in this modern era the manuscript authors taking a new steps that is android COVID-19 tracking system, it could be very helpful for the people and make them more aware of this pandemic situation and also this could be helpful for the government and UN to understand and get the exact data of COVID-19.
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Open Access
Hydroelectric Power System management by using Whirlpool Turbine
(North South University, 2021) Mehedi Saleh; Fahmi Faisal Ahmed; Nahid Hasan Pallab; Umme Habiba Nafiya; Dihan Md. Nuruddin Hasan; 1330070043; 1421554643; 1421326643; 1411008043
Hydroelectric power plant management is an extremely common project all throughout the planet. Also, it is an especially accommodating and worthwhile framework, yet it costs a lot of money to fabricate a hydroelectric power plant. Use of renewable energy is an essential ingredient of socioeconomic development and economic growth. Renewable energy sources such as wind energy, tidal energy, etc., are abundant and can help in reducing the dependency on fossil fuels. So, we contemplated something that can be both advantageous and cost a modest amount of money to implement a power project. In this manner we found a Hydroelectric project with the assistance of current innovation and modern technology, which is a simple task and it will not set us back a great deal of money and it will be easy to build in a riverine country like Bangladesh not to mention is eco-friendly for fishes as they will be able to move through the whole procedures. It will follow basic physics, which is kinetic energy collected from water.
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Open Access
Real-Time Face Mask Detection
(North South University, 2021) Muanna Zilan; Ijaz Ahmed; Asif Anan; Atiqur Rahman; 1530810042; 1620483042; 1621358042
Nowadays, COVID-19 is a global problem. To ensure safety, the government announced that everyone should wear a face mask. Everyone should maintain this rule. But some people don't follow this rule. Some people don't wear a face mask when they are in a public place. And police are also monitoring face mask safety. But the authority can't maintain it all the time. So, we are building an application that will detect the face mask using a camera in real-time. This system's primary goal is to see the face mask using a camera. This system will help the government or the respective authority determine who wears a face mask and who does not wear a mask, and take necessary action against those persons. The algorithm is trained to capture facial features in real-time video streams and images and recognize whether everyone is wearing a protective mask with a standard accuracy rate. Equally useful for both individual and group detection, our face mask detection system can supplement or reduce the number of enforcement agents on the ground. After performing the initial analysis, the system classifies every person as "wearing a mask" or flags as "not wearing a mask" and sends an instant alert, so we can take further action — dispatch a public audio announcement, send a custom message to a digital screen, or a personalized message to the person's phone. Proactively manage and correct visitors' behavior while remaining compliant with privacy regulations.
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Open Access
Bus Fare Collection System Using Smart Card
(North South University, 2021) SK Kamal Hossain; Shaifur Rahman Shawon; Mohammad Sifat Hasan; K. M. A. Salam; 1712573042; 1712760642; 1721748042
Now, it is the public transportation system, likely the metro, that is well advanced. Passenger safety, convenience, and the need to improve the performance of existing public transportation are driving demand for intelligent transportation systems in the market. The paper-based ticket system for collecting the bus fare has been found to be a source of major financial loss in Bangladesh. It is difficult to ensure the purchase of a ticket by each and every passenger. An automatic bus fare collection system is implemented using a smart card. A smart card is given to the passenger, and when the passenger gets into the bus, he/she has to swipe the card in the RFID reader, and the device will automatically calculate the fare and deduct the money automatically. The manual fare collection system has many issues that are overcome by our proposed system. An automated fare collection system for public transport using GPS is an innovative idea that reduces manpower. The ticketing systems using RFID can be merged to solve the above-mentioned problems. This project actually suggests a much more public-friendly, automated system of ticketing with the use of RFID-based tickets. This project actually suggests a much more public-friendly, automated system of ticketing with the use of RFID-based tickets.
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Open Access
Smart Green House Farming using IOT
(North South University, 2021) Shawon Das; Smita Roy Jyoti; Atiqur Rahman; 1712591642; 1711615042
The fundamental idea is to increase the growth of different varieties of crops with good quality in a closed environment, usually a Greenhouse. The proposed system can monitor the changes in factors like temperature, humidity, and soil moisture by integrating the sensor elements. Sensor values are inserted on the Ubidots website, which can be used to analyze agricultural data. The website is also used to monitor and control the parameters, weather information, etc. It will reduce the labour cost and time, and also can increase the growth of any kind of homespun and foreign crops.
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Open Access
এনএসইউতে ইরান-ইসরায়েল যুদ্ধের প্রভাব নিয়ে ওয়েবিনার
(বণিকবার্তা, 2025-07-12) বণিকবার্তা
সম্প্রতি ‘ইরান-ইসরায়েল যুদ্ধ: দক্ষিণ এশিয়া ও পার্শ্ববর্তী অঞ্চলের ওপর প্রভাব’ শীর্ষক একটি ওয়েবিনার নর্থ সাউথ ইউনিভার্সিটিতে (এনএসইউ) অনুষ্ঠিত হয়েছে। বিশ্ববিদ্যালয়ের সাউথ এশিয়ান ইনস্টিটিউট অব পলিসি অ্যান্ড গভর্ন্যান্সের (এসআইপিজি) আয়োজনে এ সভায় ইরান, চীন, ভারত ও পাকিস্তানের বিভিন্ন বিশ্ববিদ্যালয়ের কয়েকজন অধ্যাপক ও গবেষক বক্তব্য দেন। সমাপনী বক্তব্য দেন এনএসইউ উপাচার্য আবদুল হান্নান চৌধুরী।
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Open Access
REAL-TIME ACCIDENT ALERT SYSTEM
(North-south University, 2021-04-30) Tamjid Iqbal; Bratita Das Bristi; Abdullah Rakib; Tanjila Farah; 1512198045; 1520743642; 1410111042
With the growing amount of vehicles on the road, the number of fatal crashes resulting in considerable loss of life is also increasing. Various researchers have focused on developing particular road safety applications or crash avoidance programs in order to mitigate such road accidents. Image-processing-based tech is one of the latest road safety applications, but it will only operate effectively if the car is in line-of-sight with the camera and its output in poor weather circumstances involving dense clouds, heavy rain, and so on. As a response, the focus of this paper is on the implementation of a quality sensor-based system that can assist drivers in minimizing some kind of road accident in order to save lives. The main value of our proposed protective measure program is that it will anticipate the occurrence of a collision and, as a result, determine the driver's corrective behaviour and expectations to prevent a collision. Furthermore, our proposed system can be implemented on any existing vehicle and therefore would not necessarily entail the construction of new roadside facilities. The proposed collision avoidance solution is also valuable since it requires an amount of good sensors such as ultrasonic sensor nodes, speed sensors, GPS, Wi-Fi module, and on and on.
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Open Access
Web-Based App on Tourism E-commerce
(North-south University, 2021-04-30) Abdullah Riyadh; Farjana Khaleque; Shahara Tabassum; Dr. Shohana Rahman Deeba; 1711646042; 1721075042; 1721236042
We have decided to implement an online e-commerce web application for Bangladeshi travelers and retailers to manage packages on this system. The customers can quickly search the available packages and come to the store to pick them up and they can contact the service provider to learn more about the packages they are looking for. The best aspect of our website will be the global availability as well as the accurate information on the places to visit which are usually backed up by trustworthy customer reviews.
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Open Access
Ecommerce Based Product Recommendation System
(North-south University, 2021-11-30) Md. Mukith Al Alim; Md. Ashiqur Rahman Ovi; Md. Hasibul Hasan; Zeeshan Jamal; Dr. Shazzad Hosain; 1711376042; 1721444042; 1722351642; 1731699642
This paper represents a noble approach to develop a Machine Learning method like Ecommerce Based Product Recommendation System for developing country like Bangladesh. The product recommendation system is a filtering system that seeks to predict and show the items that a user would like to purchase. Recommender systems have become increasingly popular in recent years and utilized in various areas, including movies, news, books, research articles, search queries, social tags, and products in general. It is an essential feature of the digital world. Because users are often overwhelmed by choice and need help finding what they are looking for. If a recommender system is set up and configured properly, it can be the reason for a significant boost in revenues, satisfied customers, and more sales. In this project, we have employed several machine learning algorithms (NCF, SVD, Encoder-Decoder, KNN) to build a recommender system for products and also have developed a website through which users can geta list of recommendations of products based on their preferences. These algorithms’ performancesare evaluated on different metrics. KNN has been selected to deploy on the website among all the algorithms.
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Open Access
New centres at NSU signal new leadership for Bangladesh's youths
(The Financial Express, 2025-07-06) The Financial Express
North South University (NSU) has taken an additional and important step. Its recent inauguration of three academic centres focusing on social business, sustainability, and climate resilience marks more than institutional growth. The centres were launched in partnership with the Yunus Centre during the ‘Social Business Academia Dialogue’ and the 3Zero Club Convention held at NSU. The ceremony was presided over by Professor Abdul Hannan Chowdhury, vice- chancellor of NSU and chairman of Grameen Bank. The centres were launched in partnership with the Yunus Centre during the ‘Social Business Academia Dialogue’ and the 3Zero Club Convention held at NSU. The event brought together development leaders, government advisors, global experts, and educators.