Browsing by Author "Mahdy Rahman Chowdhury"

Now showing 1 - 11 of 11
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    Open Access
    A solution for industrial problem: Predicting the future market price using low amount of data with the help of Time Series Analysis
    (North South University, 2019) Istiak Rahman; Zareen Tasnim; Farzeen Ahmed Bashori; Mahdy Rahman Chowdhury; 1530861642; 1511908042; 1510223642
    Bangladesh has a lot of potentialities and possibilities as a third world country if it utilizes the blessings of technology properly. With the help of recent technology, different time series analysis models have been developed like ARIMA, ARIMAX, SARIMA, SARIMAX, and even a Facebook developed module called Prophet. Nowadays it is possible to detect the future trend of any business given any type of data. We have applied a similar approach to predict sales for one of the flourishing startups of the country named Rokomari.com. The struggle for any company is to sustain amongst its powerful competitors in its emerging years. It becomes easier to ace over the competitors if the company can have a prior preparation of its upcoming challenges. Our effort was to make the journey smoother so that it can sustain in building a flourishing business amongst its competitors. In order to do so, we have worked with “real world” sparse dataset of the company itself. We were successful in predicting their possible sales for coming years using time series models like SARIMA and Fb Prophet. The paper discuses briefly about the significance and possibilities created due to implementation of our custom build software.
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    Open Access
    Automatic Soil Irrigation System Using GSM Module
    (North South University, 2020) Yaad Arefin; Saiful Islam; Mahdy Rahman Chowdhury; 1530702043; 1521065043
    With the world trending towards new technologies and implementations, it is necessary to create in agriculture. Most projects signify wireless sensor networks that collect data from different sensors deployed at various nodes and send it through the wireless protocol. The collected data provides information about plenty of environmental factors. Observing the environmental factors can not be the complete solution to boost the yield of crops. Hence, automation must be implemented in agriculture to overcome these problems. So, purposely showing the solution to all such issues, it is necessary to develop an integrated system that will take care of all factors affecting productivity at every stage. But complete automation in agriculture is not achieved due to many issues. Though it is implemented at the research level, it is not given to the farmers to benefit from the resources. Hence, this paper deals with developing smart agriculture using IoT and is given to the farmers.
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    Open Access
    Dielectric and Plasmonic Dimers: Broadband Reversal of Optical Binding Force
    (North South University, 2020) Mahadul Islam; Mizanur Rahman; Mahdy Rahman Chowdhury; 1620871043; 1620306043
    The controlled broadband reversal of optical binding force is one of the latest and most promising areas of optical manipulation. Hardly any work has been done to control broadband reversal of the optical binding force of two heterodimers. Until now, optical manipulation has been used to find the reversal at the far-field optical binding force for plasmonic homodimers only. The behavior between the dielectric-plasmonic nanoparticles and their optical binding force in near and far fields has not been investigated in the literature yet, as the regulation of optical binding force by using only light in both far field and near field is a completely unexplored area. In this article, we have shown a very simple way of controlling the broadband reversal of optical binding force in both near field and far field for dielectric and plasmonic heterodimers. Through five different setups, we have shown that strong and stable reversal can be achieved for the near-field binding force for the dielectric-plasmonic heterodimers only if we put them on a substrate made of plasmonic material in an inhomogeneous background (air). This kind of reversal of binding force for dielectric-plasmonic heterodimers has been demonstrated based on the change in electric field and dipolar theory. Thus, we have proposed two generic ways to achieve strong reversal of optical binding force for dielectric-plasmonic heterodimers on a plasmonic-made substrate, where we can control the mutual attraction and repulsion by varying the wavelengths only. Keywords - broadband reversal, optical manipulation, dielectric, plasmonic, heterodimers, dipolar theory.
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    Open Access
    Energy-Entanglement Relation For Minimal QET Model Using Superconducting Quantum Computers
    (North South University, 2023) Tasin Towsif Rahman; Sibghat Ullah Rayyan Shaikh; Monem Shahriar Sourav; Mahdy Rahman Chowdhury; 1911774042; 1831773042; 1831379042
    In the easiest terms possible, quantum entanglement means that two particles are together in such a way that the actions of one particle affect or cause changes to the other particle no matter the distance between the two particles. These particles could be photons, electrons, etc, and the state that they exist in could be, for example, one particle ‘spinning’ in one direction and the other spinning in the opposite direction. For our experiment, we consider two particles Alice and Bob. The goal of our study is to investigate the degree of breakdown of entanglement between the two for the minimal Quantum Energy Teleportation (QET) Model, during energy teleportation. Entropy is used as a quantitative measure of entanglement. The measurements in the circuit destroy the entanglement that exists between the two qubits when energy is transmitted from "Alice" to "Bob" in the Quantum Energy Teleportation (QET) Model. As a consequence, we use entropy to show the extent of degeneration in the entanglement; in other words, we present two disparities in the amount of transmitted energy and the entanglement expenditure. We investigate entanglement as a quantifiable physical resource in connection to energy in this experiment.
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    Open Access
    Enhanced Third Harmonic Generation (THG) with Graphite Metasurface
    (North South University, 2023) Ybtida Cinderella; Nasim Md Arafat Saikat; Mahdy Rahman Chowdhury; 1921957043; 1911471643
    This project introduces an innovative concept for improving third harmonic generation (THG) at far infrared and terahertz (THz) frequencies by employing ultrathin nonlinear meta surface designs of patterned graphite micro-ribbons. By utilizing the localized plasmonic effects, these configurations make it possible to produce an incident wave that is tightly confined and significantly amplified along the surface of the graphite. Because of the presence of a metallic substrate beneath the graphite micro ribbons, the resonant response bandwidth is reduced, which leads to the absence of any transmission and the development of standing waves within the intermediate dielectric spacer layer. This strategy results in a significant increase in the efficiency with which THGs are converted, one that could be increased by several orders of magnitude. Additionally, the meta surface's resonant frequency can be dynamically modified by changing the Fermi energy of the graphite through either electrical or chemical doping. This can be done to get the desired effect. The stimulation of highly localized plasmons within graphite micro-ribbons are the primary topic of this paper. This stimulation ultimately results in the confinement and intensification of the incident wave along the graphite surface. In addition, the presence of a metallic substrate beneath the graphite micro ribbons results in the induction of zero transmission and the generation of standing waves within the intermediate dielectric spacer layer, which together have the effect of narrowing the bandwidth of the resonant response. In the end, these improvements in the incident field contribute greatly to the gain in the efficiency with which THGs are converted.
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    Open Access
    Hybrid Approach in Quantum Generative Adversarial Network
    (North South University, 2023) Arabindo Das Himu; Mahdy Rahman Chowdhury; 1831592642
    This project explores the application of quantum computing techniques in the domain of generative adversarial networks (GANs) for image synthesis, specifically targeting the well-known MNIST dataset of handwritten digits. Leveraging TensorFlow Quantum (TFQ), this research delves into hybrid quantum-classical architectures, combining the power of quantum circuits with classical deep learning models. This project aims to demonstrate the potential of quantum GAN in generating synthetic images. This study's methodology includes data encoding, quantum circuit design, and classical optimization. The experimental results showcase the ability to generate fake samples. Compared with the classical counterpart, the project shows an improvement in generating samples over multiple epochs. However, after running 100 epochs, the hybrid version that uses both quantum circuits and classical neural networks shows a decreasing point in improvement compared to the classical counterpart that was able to improve over time without a decreasing point of improvement. While the current development of this project shows the capability of generating fake samples, further research is necessary to increase its performance and overcome the related issues. This tells us the potential usage of real-world applications that can be done with the capability of quantum computing on machine learning in generative tasks.
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    Open Access
    Optical Force Reversal using Parallel Waveguides
    (North South University, 2023) Tafsir Hossain; Taha Chowdhury; Mahdy Rahman Chowdhury; 1921890043; 1921404043
    Using light to control particles has been of great interest for quite a long time. Pulling different nanoparticles using a non-structural light can be a novel approach in the field of optical manipulation. In most of the setups, the pull-push phenomena are observed either for a Rayleigh particle or for a Mie particle. In this work, we demonstrated how a simple plane wave can pull and push a particle situated between substrates. We have used two setups here. The force reversal for the same wavelength occurs when there is a substrate present in the setup. Dielectric particles experience pull-push phenomena because of induced multipole expansion. On the other hand, the reversal of the optical force acting on a plasmonic particle can be explained by the transferred momentum of the photon. In the proposed setup, the optical force acting on the particle is calculated using the Maxwell Stress Tensor.
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    Embargo
    Prototype of an Eye Gesture Controlled Wheelchair for Paralyzed and Physically Handicapped People
    (North South University, 2019) Uttam Kumar Saha; Md. Shazzad Hossan Chowdhury; Sameul Basher; Mahdy Rahman Chowdhury; 1520611043; 1521488643; 1411270043
    Paralyzed and physically handicapped people either need assistance of others or requires a smart wheelchair to move from one place to another. As for wheelchair, the system needs to be gesture controlled since it is not easy to move body parts of physically handicapped and paralyzed people. This project presents a prototype of eye gesture detection based wheelchair driving system .For applying the instructions obtained from user’s eye movement, a Bot has been utilized as prototype of wheelchair. Moreover, an obstacle sensor has been added in order to avoid accident when any obstacle comes in front of the wheelchair. A webcam has been utilized in this project for obtaining user’s eye movement based instructions and Raspberry Pi B+ has been used as the central controller and processor for decoding and encoding instructions, image processing and system control.
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    Quantum Image Compression Using Espresso Algorithm
    (North South University, 2023) Jannatul Ferdous Mim; Zobayer Islam Abir; AKM Anisur Rahman; Mahdy Rahman Chowdhury; 1912964642; 1921653042; 1912282642
    Our venture into quantum technologies involves the project 'Quantum Image Compression using Espresso Algorithm,' guided by Dr. Mahdy Rahman Chowdhury. With the expertise of research assistant Syed Imad Uddin Shubha . and our ECE team (Jannatul Ferdous Mim, Zobayer Islam Abir, and AKM Anisur Rahman), we explore into the fusion of quantum computing and the Espresso algorithm for image compression. This collaborative effort unfolds through thorough experimentation and analysis, contributing to the ever changing field of quantum information processing. The abstract captures the essence of our exploration, emphasising the intricate interplay between quantum principles and innovative compression techniques in the dynamic context of our project.
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    Short-term Solar Power Forecasting
    (North South University, 2019) Md. Saifullah Mehedi; Sharif Sefatul Muntasir; Md. Imtiaj Hossain; Md. Al Amin; Mahdy Rahman Chowdhury; 1512075043; 1511087043; 1511485643
    The main aim of our project is to forecast solar (PV) Photovoltaic output power for the short term depending on a few parameters that are related to solar power generation. In our project, we have investigated and implemented a short term forecasting approach to predict solar PV power for 5, 10 and 15 minutes horizon and at every sampling step. Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. Solar PV is a device that converts the energy of sunlight into electricity based on radiation. In power systems, PV power forecasting is crucial as this helps to predict load and generation. Therefore, the accuracy of forecasting is of great significance for the operational and managerial loading of a utility company.
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    Trapping An Atom and Assessing The Difference in Trapping Force Using Two Different Systems
    (North South University, 2023) Taiful Islam; Arnab Roy Biswas; Zahin Ibne Amir; Mahdy Rahman Chowdhury; 1912105042; 1921619043; 1822071043
    This report demonstrates the design and implementation of the theoretical phenomenon of trapping force in the quantum field and analyzes the difference in trapping force when two different systems are involved. Our objective was to trap a particle and illustrate differences in trapping forces employing two different systems, specifically the crystalline structures of copper (Cu) and silicon (Si). Throughout the experimentation, we maintained a consistent adsorbate atom, helium (He). The primary aim was to validate the hypothesis that heavier atoms possess greater potential energy, resulting in enhanced trapping forces. This validation was pursued through numerous simulations using various software. The outcomes of this experiment unveil a spectrum of possibilities within the quantum field. Our future endeavors are centered on advancing the efficacy of trapping mechanisms, exploring ways to reinforce trapping capabilities further, and enhancing overall efficiency.