NSU IR :: Browsing by Author "Dr. Mahdy Rahman Chowdhury"

Browsing by Author "Dr. Mahdy Rahman Chowdhury"

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Open Access
A Low-Cost Biomedical Device to measure Body Temperature, Heart Rate, ECG and Fractured Angle Through Motion
(North South University, 2019-04-30) Tarek Ahmed Khan ID # 1520436; Fairooz Alam; Debashis Bhowmik; Sabbir Ahmed; Dr. Mahdy Rahman Chowdhury; 1320350043; 1513216642; 1521155642; 1520436042
This report presents the design and the implementation of a mobile application based smart Health Care system in Bangladesh. In this system, any patient can communicate with their doctor easily through app simultaneously. There is a lackof proper management in the hospitals of our country. The main purpose of this project is to provide better opportunity for those sufferer patients who face difficulties while communicating with their doctors at the time of their need. The system has been designed in such a manner that will help a patient as well as a doctor of both rural and urban areas. This system also allows doctors to keep their patients under monitoring all the time. We developed this system to help the people of our country who are badly suffering from not having a good healthcare system in an easy and affordable way. The system will be accessible from android app via the internet. The report includes content designing, hardware implementation and android mobile application development
Open Access
A web application that detects malaria infected red blood cells in real-time
(North South University, 2019-04-30) Fariha Islam; Porsia Tithi; Biswas Nazimuddin Nadim; Dr. Mahdy Rahman Chowdhury; 1511602042; 1420674042; 1410291642
Bangladesh is considered as one of the malaria endemic countries in South Asia hence detecting it at an earlier stage and being able to keep records can save life. The Pathology Assistant is a web app built for Pathologists to be able to create patient profile, upload red blood cell images which is stored in the database and run through a neural network. The neural network can perform binary classification which can tell the pathologist whether the red blood cell is malaria infected or not. This way the pathologist can keep track of the patients condition and upload more images time to time to check the improvements of the patients condition in real time.
Open Access
All object on-chip tractor beam using SPP
(North South University, 2022) Masudur Rahim; Md. Mohaimanul Masud Sunny; Fahim Al Ifran Rahim; Dr. Mahdy Rahman Chowdhury; 1320251043; 1220446043; 1320650043
In this paper we designed an on-chip configuration where implementation of an all object optical tractor beam was made possible. By all object, we are referring to spherical nanoparticles of dielectric, plasmonic and chiral material. This tractor beam was composed of the superposition of two evanescently confined surface waves called SPP (Surface Plasmon Polariton), which was excited over the on-chip base by the incidence of a plane polarized laser light propagating vertically upwards. Arrays of nanoantenna like structures called metasurfaces has been used in this setup to manipulate the evanescent surface wave. Exerting pulling force is only possible when the beam incident over the particle has a non-paraxial nature. In reality, non-paraxiality of a beam is a somewhat hypothetical requirement. However, this issue is resolved by creating an interference field formed by the superposition of the SPP beam along with the induced effect within the particle and the substrate which led to the emergence of this backward pulling force. Pulling force was realized within certain diameter range (Mie Range). To the best of our knowledge, this article stands as the first proposal of realizing all object tractor beam in an on-chip configuration where the configuration itself is mitigating the paraxiality issue for all objects and using the same setup, pulling of such particles can be realized. Our work can be extended to sorting of particles in an inhomogeneous mixture, such as analysis of biomolecules.
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
Open Access
Deep learning based visual pollutant detection system
(North South University, 2020) Ishaq Ali; Md. Sabbir Hossain; Dr. Mahdy Rahman Chowdhury; 1530869042; 1610661042
Most of us are familiar with mainly four types of pollutions. They are 1) air pollution 2) water pollution 3) sound pollution and 4) soil pollution. But a very few of us know about ‘visual pollution’ since it is relatively a new concept. But it is gaining people’s attention slowly. Determining which object should be considered as a visual pollutant is quite a challenge because an object which is visually disturbing to one person may not be visually disturbing to another person. In this study, there are four classes 1) billboards and signage 2) telephone and communication wires 3) network towers and 4) street litter. A deep learning model has been used to detect visual pollutants in an image that was trained and tested on images that we collected using the Google search engine. Our study has a lot of applications in real life like image and video analysis, visual pollutant management, visual pollution index generation, server deployment, and many more. Our study suggests that higher levels of accuracy can be achieved by increasing the size of the dataset.
Open Access
Electron Matter-wave Tractor Beams: Study & Simulation of Quantum-Mechanical Stress and Force
(North South University, 2022) Md. Arifur Rahman; Md. Mahabub Alam Arafin; Jahidul Islam; Dr. Mahdy Rahman Chowdhury; 1822038043; 1813241043; 1812555043
Classical force equations describing the macroscopic universe have been studied and applied extensively throughout the past three centuries. However, the study & simulation of quantum-mechanical stress & force in the microscopic domain remain scantily explored. We attempt to accelerate the research of microscopic scenarios involving quantum-mechanical forces and successfully devise a COMSOL Multiphysics simulation setup and derive all the corresponding mathematical formulations to observe a wide array of quantum-mechanical phenomena, in particular, the simulation of electron matter-wave tractor beams in COMSOL Multiphysics 6.0.
Open Access
Emergency Medicine Supply (EMS)
(North-south University, 2021-04-30) Mohammed Didarul Islam; Mrittika Sarker; Anika Tahasin Opsora; Dr. Mahdy Rahman Chowdhury; 1713066042; 1631473042; 1620197042
An Android-based mobile application for online medicine shopping is described in this paper. The Emergency Medicine Supply (EMS) application enables the user to purchase medicines online and also helps any user to identify which medicines are written in the doctor’s prescription because of our Optical Character Recognition (OCR) feature. For the interim step of providing service via an Android phone, this system includes user interfaces, pharmacist interfaces, a medicine database, a website, and so on. Users must first register for using this Android application (app). The user and pharmacist must provide their cellphone number and password each time they wish to log in. Pharmacists can add, update, and delete medicines after logging into the program. When a user wants to buy any medicine using the application, they need to add the required medicines to the cart which will be saved in our Firebase Database. After than the user needs to give their delivery details for confirming the order. If any of the ordered medicine is not available, the mobile app will delay the process until a pharmacist responds with a suggestion and confirmation that an equivalent brand of medicine is available. The domain of this system is an Android application. The planned smartphone app is user-friendly for online pharmaceutical purchases. People can now order medicine at any time and from any location using this application. This Android application revolutionized the concept in the pharmaceutical industry, allowing pharmacists and pharmaceutical companies to assist the needy people of Bangladesh.
Open Access
Experimental and Theoretical Verification: Detection of Exact Ten Disease from Real Blood Sample
(North South University, 2019-04-30) Jesia Quader Yuki; Ishan Sen; Kazi Rafshan Hasin; Ruwaida Bintey Azam Preyota; Dr. Mahdy Rahman Chowdhury; 1530756642; 1521274642; 1430310042; 1510030043
This project is implemented using machine learning technique to classify different disease by determining various shapes of red blood cells. Microscopic images of real red blood cells smears are used to train our software. A deep convolutional neural network is used for the implementation. Compared to traditional methods that use tedious hand engineering feature extraction, the proposed method uses deep learning in an end-to-end arrangement that performs both feature extraction and classification directly from the raw segmented patches of the red blood smears. So we developed a system by using deep convolutional networks in order to find the classification of RBC & cell segmentation which may help us to measure patient’s disease type. We first take microscopic images of diseased RBC and created rbc patch. Than we use deep convolutional neural network (CNN) to realize RBC classification. The proposed model gives an accuracy of 97.64% on the hold out test. Our method can detect 10 blood shape variance.
Open Access
FAULT TOLERANT QUANTUM ERROR DETECTION CODE
(North South University, 2023) MEZBAH UDDIN SAAD; NUZHATH TABASSUM ORPAA; Dr. Mahdy Rahman Chowdhury; 1921703042; 1931052042
The potential of quantum computing is extraordinary. Nevertheless, it faces challenges due to the susceptibility of quantum bits (qubits) to errors caused by factors such as decoherence, noise, coupling errors, etc. This project focuses on overcoming this challenge by introducing a fault error correction code designed for a state where 2n+1 qubits are entangled. Although there are codes for lower qubit error detection, our solution aims to detect both bit-flip and phase-flip errors for the last qubit and arbitrary faults for the first 2n-qubits. The main goal is to strengthen quantum computations against errors, making quantum processors more reliable and scalable. We plan to achieve this by developing and evaluating the foundations of the proposed code, conducting simulations to analyze its performance in different error scenarios, and exploring its practical application in real-world quantum processors. By addressing scalability issues and aiming for implementation, we aim to contribute towards advancing quantum technologies. This project represents a step in bridging the gap between upgrades and experimental implementations, fostering innovation in the ever-evolving field of quantum error correction.
Embargo
Lateral Force on Atoms Using Quantum Metasurface
(North South University, 2023-09-30) Ishmam Hossain; Mohammad Safi-Ul-Kaium; Dr. Mahdy Rahman Chowdhury; 2011308043; 2013395643
This study represents an exploration, into the field of quantum metasurfaces, which usetheircharacteristics to demonstrate how atoms move across surfaces. Scientists have been strivingtomanipulate atoms at the forefront of quantum research. This study represents a significant steptowards understanding the mysteries of atomic scale quantum dynamics. The proposed quantummetasurface utilizes nanoscale engineering and special metamaterials to control the motionofatoms. By leveraging quantum superposition and entanglement principles the metasurface actsasa platform for orchestrating atom movement. To manipulate atoms on the metasurface, cuttingedge techniques like scanning tunneling microscopy (STM) and laser cooling methods areemployed in this research. The engineered properties of the metasurface create landscapes that guide atoms along paths showcasing its ability to direct motion with exceptional accuracy. Thisresearch not demonstrates progress in nanotechnology and quantum engineering. Also opensupnew possibilities for applications in areas such as quantum computing, sensing andprecisemanipulation of materials. The ability to control the movement of atoms at the quantumlevel holds potential, for designing quantum devices and exploring fundamental principles governingquantum mechanics. Moreover the research showcases the potential of utilizing quantummetasurfaces as a means to investigate and comprehend quantum phenomena on a deeper level. This report showcases a quantum metasurface built using Zinc, Copper, and Nickel atoms, withaHelium atom adsorbate. Quantum ESPRESSO and COMSOL Multiphysics were the mainsoftware. The results obtained are less than ideal but do indicate it is possible to generate a lateral force using this quantum metasurface model. Insights gained from this research contribute tothegrowing body of knowledge aimed at harnessing the unique behaviors of quantumsystems forpractical applications, pushing the boundaries of what is achievable in the fascinating realmofquantum science.
Open Access
Light Induced Pulling Force on Canopy Shaped Silver Particles
(North South University, 2023) Mushfirah Mortuza; Fahmida Akter; Mithila Siddique; Dr. Mahdy Rahman Chowdhury; 1921850043; 1921083043; 1921106643
Optical pulling force research is gaining prominence alongside the widely studied optical pushing force. Researchers are currently focusing on the phenomenon of using light to pull particles, which has resulted in an increase in the number of studies on this subject. We used sunlight to drag a particle toward the sun to experiment with pulling force. In this experiment, we use lossy silver material to simulate a specific shape, such as a boat canopy. When light interacts with this shape, we calculate force using the tensor equation of force and observe that the particle is traveling toward the source. Though we get pulling force when we use lossy material, we notice the opposite when we use lossless material. This work paves the path for further investigations into the possibilities of shape-based pulling forces, opening up new avenues for inquiry and analysis.
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.
Open Access
Near Field Optical Binding Force for Multiple Mix Particles: Plasmonic, Chiral & Dielectric
(North South University, 2019) Md. Mahmudul Hasan; Fatematuz zahura; Dr. Mahdy Rahman Chowdhury; 1530501043; 1511018643
Optical manipulation is a common phenomenon and widely applied in physics, biological science, physical chemistry, plasmonic and nano science. One of the prominent new areas of optical manipulation is controlling the near field optical binding force, which is a key factor for particle clustering, aggregation and surface plasmon sensors. Near field optical binding force is experienced by two closely placed particles where both gets attracted and repelled. Thus far, there is no generic way to utilize the near field optical binding force for achieving attractive force and repulsive force of nanoparticles at the same wavelength of light. For plasmonic, dielectric & chiral nano particles, we have proposed a methodology to control the near field optical binding force using Bessel beam. Considering the nanoparticles are placed over a homogeneous dielectric background, i.e. at air interface.
Open Access
On Chip Optical Trapping and Sorting
(North South University, 2019-05) Syeda Ramisa Masum; Muhammad Zayan Ahsan; Sayed Hasan Salim; MD. Fakrul Hassan; Dr. Mahdy Rahman Chowdhury; 1320584045; 1110905043; 1511806045; 1511034043
In this paper we investigated the effects of Bessel Beam and plane wave separately on three different types of particle. Our research was mainly with particles of chiral, dielectric and plasmonic material on nanometer scale. The particles were observed to have exhibited different behavioral patterns under the effects of said waves when a slanted substrate was placed under each particle. The different behavior of particles were sufficient to sort these particles and also due to the slanted plasmonic sheet it was possible to trap certain types of particles. The incident light for both cases was projected from above with incident angle of 90 degrees. Our work accentuates the impact of tractor beam on optical chip thus sorting dipolar particles. Under the influence of plane wave, our study shows that all the particles behave similarly as all three di-pole objects are getting pulling force and therefore, they are being trapped. But for Bessel beam, which is a non-diffractive, high intensity light, with a cone angle of 20 degree and incident angle of 90 degree; the particles show different behavior. Chiral and Dielectric particles experiences pulling force therefore they are being trapped but plasmonic particle exerts pushing force. This phenomenon allows us to sort unknown particles. The inside physics can be defined with Poynting vector which represents the instantaneous power flow due to instantaneous electric and magnetic fields
Open Access
Optical pulling of multiple Rayleigh sized particles simultaneously using a Metasurface
(North South University, 2022) Mridula Rodoshi; Mohammad Ahsanul Haque; Dr. Mahdy Rahman Chowdhury; 1711517043; 1831696643
Creating pulling force for several sorts of particles simultaneously on a single setup is very difficult and unusual in the literature. In this article, a single nanometer-sized metasurface was used to generate an optical pulling force for multiple particles simultaneously. Initially, three particles were the main focus, but this was eventually expanded to seven particles to strengthen the findings based on multiparticles. An incident beam (varying the wavelength from 640nm to 1200nm) is used to produce surface plasmon polariton waves, which were afterwards responsible for pulling the Rayleigh sized (50nm in our instance) particles. By generating a dual non-paraxial surface plasmon polariton (SPP) energized plasmonic complex field, which induces completely different behaviors in Rayleigh scatterers with dissimilar material properties, the proposed setup promotes effective on-chip material-based optical pulling of silica (a dielectric object), gold (a plasmonic object), and chiral nanospheres.
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.
Open Access
Parking Management System: A python-based smart parking management system, with minimum human interaction; created for industrial usage.
(North South University, 2019) Ferdous Mohammed Tajwar Hussain; Gazi Md Ashhab; Md. Khaled Bin Zulfikar; Dr. Mahdy Rahman Chowdhury; 1310324042; 1320701042; 1220198042
The idea for the subject of the project formulated from the realization that although parking management software’s are exercised abundantly inmost institutions and industries, in our country, such software’s are attained from international sources in exchange for a substantial amount of money. The objective was to attempt to generate a software addressing all the necessities of a parking management system, which, when produced locally and encompassing particular resolutions to distinctive problems, could therefore be implemented at a much-discounted price. A secondary goal was to formulate the design to be as automated as possible whilst ensuring and maintaining maximum system security; one which we feel the design has managed to achieve to a certain extent. The basis of this project focuses on the entry and exit of vehicles using an RFID card, during which a picture of the vehicle is taken for safety regulations. Ordinary users pay a fare each time when exiting in contrast to the VIP users who pay on a monthly basis. The system hosts an Admin panel that can be conducted from a distant or mobile location and as such requires only one personnel to run the entire system. Our team hopes and believes that projects of such manner will greatly decrease the capital spent on parking systems and consecutively simplify the procedure. This also has the potential to aid in the solution of traffic gridlocks that occur quite recurrently.
Open Access
RESCUED: Robust Quantum Error Correction With Surface Code In Noisy Channels Using Ensemble Decoder
(North South University, 2023) Saikat Barua; Monika Rahman; Apurba Jalal Uchash; Dr. Mahdy Rahman Chowdhury; 1731052042; 1821654042; 1620457042
Quantum error correction is essential for protecting quantum information from errors due to decoherence and other forms of noise. However, decoding quantum error-correcting codes optimally is a computationally hard problem. In our study, we present an ensemble decoder that combines the strengths of different decoders to achieve lower logical error rates and the ability to decode multiple errors. We have used statistical techniques to assign a given error syndrome to the decoder that is most likely to decode it correctly. Different Variants of the Noise model were applied to accurately simulates the effects of noise on transmitted quantum states. The performance of the ensemble decoder was compared to that of conventional decoders, such as minimum-weight perfect matching (MWPM) and union-find (UF) decoders, in both the Symmetric and Asymmetric Noise Models. In the Symmetric Noise Model, the probabilities of bit-flip and phase-flip errors are assumed to be equal, while in the Asymmetric Noise Model, these probabilities can differ. The comparison also included erasure errors, where the original information state of a qubit is erased or lost. The objective of the comparison was to assess the proficiency of the ensemble decoder in rectifying these types of errors relative to traditional decoding techniques. Our findings suggest that the ensemble decoder outperforms the conventional decoders in this noise model, especially for higher code distances. Further, Threshold Simulations were conducted to investigate the influence of lattice size and noise asymmetry on the logical error rate and threshold values of the ensemble decoder. It is evident that increasing the lattice size reduces the logical error rate and that the threshold and pseudo-threshold values increase with step-wise changes in noise asymmetry. The findings of the study highlight the significant potential of the ensemble decoder in the fields of quantum error correction and communication.
Open Access
Senior Project Design Deep Fake Detection
(North South University, 2021-01-01) Asif Faruki; Mahadi Hasan Bhuiyan; Sazzad Alam; Dr. Mahdy Rahman Chowdhury; 1632478042; 1731653642; 1611200642
Deep fakes are the end result of virtual deception to create convincing motion pictures to mislead the viewer. To accomplish this, high-intensity mastering algorithms based entirely on autoencoders or GANs are used, which can be easily accessible and correct year after year, resulting in fake motion pictures that are difficult to distinguish from real ones. "Seeing is believing" is now not actual, and this has far-accomplishing implications for many aspects of our lives. Deepfakes are getting easier and easier to create as the generation advances. In truth, some of it could be carried out with an app in the palm of your hand. Deepfakes are tough to spot. Deepfakes have grown hard to detect with the naked eye. Deep learning-based video modification tools have grown more widely available in recent years. People can simply learn how to create deep fake videos with victims and target images with little to no effort. This poses a significant social issue for everyone whose images are publicly accessible on the Internet, particularly on social media platforms. According to a recent Google survey conducted from December 2018 to December 2020, the number of online deepfake movies increases every day. In December 2020, there were 85,084 videos online, compared to 7,964 videos in December 2018. As a result, it is rapidly growing. There are several methods to detect deep fakes. The objective of this paper is to expose deep fakes with deep learning techniques. Inception-ResNet-v2 was used to detect deep fakes, which is a deep learning technique. The detection has been done with the use of 3 datasets, which have been taken from Kaggle and GitHub. Deepfake was detected using Python 3, Google Colab, and Keras as the frameworks. We have found 98% accuracy by using Inception-ResNet-v2 with the datasets. Deep learning algorithms have advanced to the point where it's now feasible to create splendid-practical pictures and movies, called "deep fakes." Those deepfakes have the capacity to attain a massive 6 target market and have negative effects on our society. In spite of the fact that a variety of efforts have gone into detecting deep fakes, their performance pales in comparison to ours. In this project, we endorse the use of deep learning to find a residual network architecture for deepfake detection in an adaptable way. This, inception-resnet-v2, is one of the best methods for detecting deepfakes using deep mastering. In comparison to advanced techniques, our proposed approach is significantly less expensive competitive prediction accuracy based totally on our studied search space.
Open Access
Web-Based Temperature Monitoring System
(North-south University, 2019-04-30) Jubair Jull Karnine; Md. Sajjad Hossain; Aaqib Shahriar Shuvo; Dr. Mahdy Rahman Chowdhury; 1410959042; 1410292042; 1330880042
This paper describes the design and implementation of a web-based temperature monitoring system. The project is designed in such a way that after the configuration with hardware which will be the temperature sensors it will work properly. It is also designed in a way that the user can view the temperature values at anytime from anywhere with the help of a server. The project is implemented like the administration can the set the limits of the temperature sensors which will be suitable for the rooms. The aim of designing the project is to reduce the human labor. On the other hand the user can view the temperature values in two different ways such as in tabular views and graphical views. And can also download a report which will be in PDF format.