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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Confucius Institute at North South University North South University Journals North South University Library North South University Publications School of Business & Economics (SBE) School of Engineering & Physical Sciences (SEPS) School of Health & Life Sciences (SHLS) School of Humanities & Social Sciences (SHSS) The Office of External Affairs (OEA)
Recent Submissions
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Open Access
Speaking System for Mute and Deaf people
(North South University, 2021-04-30) Muhtasim Rafid Ahmed; Fareeza Sharara karim Bohota; Atik Mahmud; Dr. ATIQUR RAHMAN; 1530194043; 1631847645; 1711633042
Deaf and mute communities are facing big problem for their disability. They are not comfortable with normal people. So, the aim of our project is to eradicate the barrier between disability and normal people in terms of communication. We have made a simple, wearable sensor-based project which is low cost and anyone can easily wear this. Our project is smart hand gloves and portable, and using flex sensor, amplifier, Arduinouno, Arduinolilypad, speaker, LCD screen, SD card. Through our project speaker can talk for mute and blind people and also deaf people can see the LCD screen. Standard ASL hand gesture taking as input database. ASL is standard sign language invented for mute and deaf people so that they are live their life as normal people. They also can work in different sector using our project. We did not use image processing or PIC microcontroller only because of high cost. We tried to make this project in low cost so that everyone can use this
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Open Access
Health care chat-bot hospital management system
(North South University, 2020-08-30) MD.Harun ur Rashid.; MD. Maruf Hasan; Yeasin Arafat Prantik; Dr. ATIQUR RAHMAN; 1522117642; 1521207642; 1520722042
Our main focus is design a unique Healthcare chat-bot Hospital Management System that will improve hospital experience for both patients and the hospital authorities. The whole system will run on internet. The system is written in PHP, java script, j query, HTML and CSS. Users will have the felicity to log in from any place with internet connection. After that they will be able to various tasks that are designed for them. Users are categorized in three groups :( Management, Patient and Doctor).The primary target is to focus on every user who can get our service and get benefited. It can be turned into a paid system only for doctors.Where the doctors can get additional cloud storage on payment. A doctor can have different types of patient and the number of patients also vary from doctor to doctor. A doctor can have various number of patients. We can assume that doctors will need different amount of cloud storage. We can allocate a fixed cloud storage for each doctors. They can ask for extra storage according their demand and they will be charged for their demand. We can make various package and assign various cost. The patients will have some allocated space which they can use to keep their information. As the patient only needs storage for only themselves they can use this as a free user. This will make the system useful and more convenient for everyone. Keeping the goal in mind the system we developed works as a social network where informationâs are more close and relevant for every user.This report contains the full details of the system and its functionality in details
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Open Access
Fake Job Posting Detection Using Machine Learning
(North South University, 2022-12-30) Tawfiqul Islam Talukder; S.M Shouvik Islam; Dr. Mohammad Monirujjaman Khan; 1521092042; 1712767642
This report presents the design and the implementation of a system that can detect fake jobs using a machine learning method that employs a variety of categorization algorithms. The COVID-19 epidemic situation has transformed the regular livelihoods of mankind in the world. This epidemic has put excessive pressure on the job market. As a consequence of the epidemic, most organizations have halted their recruiting processes, which has raised the rate of unemployment. Online recruiting has suddenly increased the quantity of applicants while also bridging the distance between recruiters and candidates. It indicates that scammers have emerged in the online recruiting market. They provide extremely high pay ranges or any other type of benefit on several online platforms. It's called "Fake Job Postings." Job seekers are applying for those fake jobs. As a result, scammers steal their personal information. Scammers use their personal information for a variety of cybercrimes or sell it on the dark web. This paper's objective is to identify and verify these job advertisements, whether theyâre fake or not. To identify these fake job advertisements, Machine Learning Algorithms (MLA) was implemented throughout this study, such as the Random Forest algorithm, and Logistic Regression algorithm. This study trained and tested the dataset and got an accuracy of 98.86 percent in Logistic Regression and 98.54 percent in Random Forest. In the Logistic Regression algorithm, our recommended technique has an accuracy of 98.86 percent, which is a huge improvement over the current methods. The accuracy percentile of both the algorithms used throughout this analysis is substantially in excess of prior studies, showing that the algorithms utilized throughout this analysis are well balanced.
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Open Access
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Open Access
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Open Access
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Open Access
NSUâs architecture dept hosts Meet the Parents
(New Age, 2025-10-22) New Age
The Department of Architecture at North South University organised a socially responsive event titled âMeet the Parentsâ on its campus in Dhaka on Monday. The event was chaired by Associate Professor Shahriar Iqbal Raj, chair of the department, and attended by Ar AKM Saleh Ahmed Anik, lecturer and studio instructor of the ARC 111 course. Following his speech, the floor was opened to parents, who expressed their appreciation for the opportunity to engage directly with faculty. Many emphasised the importance of discipline, dedication, and academic focus. The event ended on a hopeful note, reinforcing the shared commitment of NSU, its students, and families to building a future grounded in creativity, integrity, and collaboration.
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Open Access
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Item
Open Access
Criminal Record Management System
(North South University, 2020-04-30) Farhad Ahmed; Md. Naim Hassan; HASANUL KABIR ANTAR; Dr. Dihan Md Nuruddin Hasan; 1420354042; 1411793645; 1211038045
Item
Open Access
Design of a wideband metamaterial absorber for optical wavelength applications based on Hadamard matrix
(North South University, 2021-12-30) Erik Upol Biswas; Salman Meem Sahel; MD. Moin Ebne Kamal; Dr. Mahdy Rahman Chowdhury; 1811317043; 1813077042; 1811877043
It can be a complex and daunting task to achieve broadband absorption, in this work we demonstrate a polarization insensitive ultrathin metamaterial (MM) absorber based on the Hadamard-matrix. Within the optical domain, the demonstrated MM absorber showcases absorption of over 91% for both transverse electric (TE) mode and transverse magnetic (TM) mode. To explore the angular dependence on absorption features of our Hadamard-matrix metaabsorber (HMMA), both TE and TM modes are used at numerous incident-angles. Finite integration technique was utilized to simulate the demonstrated MM absorber design and validated using the interference theory model to assure the simulated data. Moreover, electric and magnetic field characteristics, current distributions, and a plethora of parametric sweeps were also investigated in order to better understand the suggested HMMA absorption mechanism. Because of its wideband absorption and polarization insensitive characteristic, this MM absorber based on the Hadamard-matrix arrangement permits a variety of applications such as light detectors, opticalsensors, magnetic resonance imaging, plasmonic-sensors, and thermal imaging applications.