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Recent Submissions
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Open Access
Heart Failure risk prediction and visualization using Machine Learning algorithms and Artificial Neural Network.
(North-south University, 2021-01-02) Polin Rahman; Md Iftehad Amjad Chy; Ahmed Rifat; Dr. Mohammad Monirujjaman Khan; 1531377042; 1612547042; 1620746042
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Open Access
All-Optical Sorting and Separation of Rayleigh Objects from an eight-particle cluster
(North-south University, 2021-04-30) Musayed Ahmed; Musa Talukder; MD. AL-AMIN; Dr. Mahdy Rahman Chowdhury; 1721560043; 1711755643; 1713002643
In this paper we try to sort three different types of particles. Mainly we take 3 types of particles and total particles are 8, all with a radius of 100nm. Those particles are chiral, dielectric and plasmonic material on nanometer scale. We put the particles in two different optical set-ups. After falling light particles showing their characteristics. The incident light for both cases was projected from above with an incident angle of 45 degrees with horizontal x-axis. Under the influence of plane waves, our study shows that some particles are getting pulling force, some particles are pushing force and some particles are getting lateral force. Therefore, they are being trapped. And we can easily find out the particles. The light scattering was 45 degrees. Understanding the sort of particles from an eight particles cluster based on distinctive optical forces has not been detailed so distant. Such an identification of the sorts of diverse particles is called optical sorting. In most of the set ups, optical sorting has been detailed for sweep based sorting of Rayleigh sized single particles. In expansion, the thought of all optical sorting has never been connected to sort and partition Rayleigh objects from a blend of particles. In this report, two distinctive optical setups have been proposed. Enlightened by a directly polarized plane wave in a molecule cluster developed with chiral, plasmatic, and dielectric nanoparticles in an air medium (optical set-up 1), half drenched in water (optical set-up 2). At to begin with, by shifting the light wavelengths, we have appeared that optical sorting isn't conceivable for eight particles cluster when they are put oppositely beneath the light. Afterward, in the same molecule cluster in all setups light was illuminated at an angle of 𝜃 = 40 along the +X axis. By varying the wavelength of the light, it has been observed that the dielectric get counter-intuitive pulling constrain because of the current density of the nearby plasmonic particle changing from chaotic to linear state, plasmonic getting pushing constrain due to the transferred momentum of photon and chiral get lateral drive mainly due to the induced magnetic dipole on the chiral nanoparticle. Such optical sorting by utilizing three totally diverse strengths without using any chemical may open a totally novel way for molecule discovery, accumulation and the organization of layouts for organic and colloidal science within the close future
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Open Access
Metasurface Based Solar Sail for Flexible Attitude Control
(North-south University, 2020-12-31) Taniz Mahmud Fahim; Fatema Quadir Tamanna; Sabid Hossain; Dr. Mahdy Rahman Chowdhury; 1511837043; 1621318043; 1620031043
Impact in optical force produced by a supercell meta-surface based on various types and lengths of meta-materials has been a topic of scrutiny in recent times. In our research, we proposed a new supercell structure, conducted both theoretical and experimental analysis to demonstrate how optical force will behave based on the configuration of the meta-material supercell structure and if the movement and speed of the solar sail can be determined by depending on the weather pushing or pulling force is obtained. In our result, we were able to obtain optical force values in three different axis and identified pulling force based on the proposed supercell structure and show results based on simulation data. Our research clearly demonstrated the impact in optimal force based on varying supercell structure and may lead to further investigation to improve movement and speed of the solar sail.
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Open Access
PanNuke: Semi Automatically Generated Tissue Nuclei Instance Classification and Segmentation using Deep Learning Algorithms
(North South University, 2021-08-30) Faria Rahman Brishty; Umme Honey Walid Nasha; Dr. Mahdy Rahman Chowdhury; 1721419042; 1512674642
Classification and Segmentation of nuclei instances is one of the challenging task. In the discipline of vision, deep learning has evolved as a branch of the machine learning field. It's a data-processing technique that employs many layers of complicated structures or numerous processing layers made up of various nonlinear transformations. In the branch of medical image data analysis deep learning algorithms are creating benchmarks. Early detection of diseases is important for early treatment. Deep learning has achieved significant advances in computer vision. In this paper, we work on the large PanNuke dataset classification and segmentation. We have obtained outstanding accuracies using deep learning alogrithms.
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Open Access
PanNuke: Semi Automatically Generated Tissue Nuclei Instance Classification and Segmentation using Deep Learning Algorithms
(North South University, 2021-08-31) Faria Rahman Brishty; Umme Honey Walid Nasha; Dr. Mahdy Rahman Chowdhury; 1721419042; 1512674642
Classification and Segmentation of nuclei instances is one of the challenging task. In the discipline of vision, deep learning has evolved as a branch of the machine learning field. It's a data-processing technique that employs many layers of complicated structures or numerous processing layers made up of various nonlinear transformations. In the branch of medical image data analysis deep learning algorithms are creating benchmarks. Early detection of diseases is important for early treatment. Deep learning has achieved significant advances in computer vision. In this paper, we work on the large PanNuke dataset classification and segmentation. We have obtained outstanding accuracies using deep learning alogrithms.
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Open Access
Speaking System for Mute And Deaf People
(North South University, 2021) Zunaid Zaohar; Asmany Akter Sornaly; Atik Shahariar Patwary; Riasat Khan; 1531342042; 1621179043; 1512384042
The major goal of this paper is to provide social service and to implement an automatic speaking system for the deaf and dumb. Communication is one of the most important aspects of human life. Every living being communicates in their own unique way. What kind of existence would we have if we couldn't speak or listen? So, in general, we can observe that many people in our community are not as fortunate as we are. There are certain individuals who are unable to speak or listen. As a result, the primary goal of our initiative is to assist people who are unable to speak or listen. Because many of us do not understand sign language, it will make it easier for people with disabilities to communicate with us and share their experiences. It will have a significant impact on healthcare and education. We're utilizing wearable gloves so that anyone can do it. An intelligent sign language recognition system for deaf individuals was developed in this study. Four flex sensors, an accelerometer, a speaker module, gloves, an Arduino Uno, an LCD screen, a GSM 800L module, and a Lithium Rechargeable Battery were utilized in this project. Our hardware tools after connecting to basic C programming runs successfully.
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Open Access
Driver’s Iris Tracker
(North South University, 2020) Md. Asaduzzaman Sakib; Shawon Howlader; Mitu Rani Das; Mohammad Ashrafuzzaman Khan; 1521705642; 1520851642; 1512383642
Distraction drowsiness, and fatigue are the main factors of car, bus accidents recently. To solve such problems, an Eye-tracking system based on camera is proposed in this paper. The system detects the driver’s Distraction or sleepiness and gives an alert to the driver as an assistance system. The system is added in real-vehicle and tested in an outdoor environment. Whenever the system detects the distraction or sleepiness of the driver, the driver will be alerted through a displayed message on a screen and an audible sound for more attention.
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Open Access
Our Deepest Condolences :NSU Condolences of Azim Uddin Ahmed
(দৈনিক ইত্তেফাক, 2025-08-03) দৈনিক ইত্তেফাক
NSU Condolences of Azim Uddin Ahmed, Founder life member, North South University, Board of Trustees Passed Away, Condolene message from North South University.
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Open Access
আমার গভীভাবে শোকাহত -পরিবারের শোকবার্তা (আজিমুদ্দিন)
(The Daily Star, 2025-08-03) The Daily Star
আমার গভীভাবে শোকাহত -পরিবারের শোকবার্তা (আজিমুদ্দিন) I নর্থ সাউথ ইউনিভার্সিটির প্রতিষ্ঠাতা আজীবন সদস্য, ট্রাস্টি বোর্ডের আজিম উদ্দিন আহমেদের মৃত্যুতে পরিবারের শোকবার্তা।
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Open Access
Azim Uddin Ahmed passes away
(The Daily Star, 2025-08-03) The Daily Star
Azim Uddin Ahmed, founder life member and former chairman of the Board of Trustees, North South University, passed away in Singapore yesterday. He was 85. The NSU community including members of the Board of Trustees, administration, faculty, students, and alumni extends its heartfelt condolences to the bereaved family and prays for the eternal peace of his departed soul.