Theses - Undergraduate

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    Sustainable Eco-friendly Reward Bin Using RVM by Detecting Recyclable waste and Generating points according to the weight of the Materials.
    (North South University, 2019-09-30) Md. Rubaith Adnan; Mehedy Hassan; Md. Anowar Hosen; Mohammad Bin Khesru; Zunayeed Bin Zahir; 1510538642; 1521214042; 1512366043; 1321489042
    In this project we present a system where the machine will receive three types of industrialized bottles and according to their weight it will generate some point for the user. With certain amount of points the user can collect money or some sort of reward depends on the system manufactures and the system service providers. First of all we will build a RVM (Reverse Vending Machine) and it can take three types of industrialized bottles like plastic bottles, Aluminum cans or Glass jars then it will measure the weight and pass to the next phase to sort it out. In the next phase the sensors will differentiate among these materials and will sort it and put them on desired container. While sorting the materials it already generated some points according to it’s weight. As we already set the threshold weight for the different materials the point Generation will be valid. The user will get a slip with point mentioned on it and s/he can collect The reward using that slip. The service provider will decide what type of reward a user will get At what amount of points. This project idea was developed because of the excessive amount of Plastic bottles on the street and it is harmful for the environment also. The recycling industries Are very profitable but it needs lots of manpower and it is not cost effective, so with this Machine it will be cost efficient as well as environment friendly. The people will encourage to Use the machine as they are benefiting. Thus this project is profitable from economic aspect at the same time it is very useful for keeping the environment from pollution which can not be reversed these days. We can see people using trash here and there even the vast ocean is getting polluted with this types of material everyday. No government or organization can do anything on their own in this regard but making people interested to keep the environment clean can be the next step to save the environment from destroying completely.
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    Reconstructing Better Audio by Using Spetial Microphone
    (North South University, 2019-08-31) Md Mantasarul Elahi; Dr. Mohammad Ashrafuzzaman Khan; 1512518042
    This article describes the design and implementation of a program that is capable of taking audio from multiple sources and using two filters, it will create the best possible version of the audio that is possible. Firstly, after taking in audio from multiple audio recording sources, it will firstly go through ’Unwanted Noise Reduction Filter’ and its product will be a noise reduced output. After going through the first filter, the audio files will be filtered once again using ‘Voice Enhancement Filter’ and will produce an enhanced output. Lastly, all the audio files will be combined using ‘Audio Merging Process’ to produce the final output of the best possible version of the audio that has been recorded
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    Multi-Platform (Web & Android) Based Event Solutions
    (North South University, 2025-04-30) Arif Ahmed Nowfel; Md Sadman Ahmed; Shafin Ahmed; Dr. Mohammad Ashrafuzzaman Khan; 1620076042; 1620674042; 1621056042
    This report presents the attributes of an efficient platform which is a combination of both website and mobile application including both android and iOS apps which can perform a major role in the field of every kinds of events happening and is going to happen in Bangladesh. This platform offers organizers to create event in the platform and promote them via it’s web and mobile application. On the other hand, customers/audience can also register to out platform to search for their desired events and they can also follow specific organizer or organizers to get update regarding their events in a priority basis. This platform is one of the first dedicated platform of its kind in our country. Gradual development will make this platform more user friendly with many functions which will make this one both organizers and visitors first choice.
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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.
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    Bangla Plagiarism Checker using Machine Learning-Multiple line Approach
    (North South University, 2023) Md Saiful Islam; Nabeel Mohammed; 1620578042
    Plagiarism is the practice of representing another person's ideas or works as your own, with or without that person's consent, by incorporating them into your work without giving them due credit. So, there are some excellent tools available to identify plagiarism, such as Turnitin, Grammarly, etc. Even if there are many techniques available to detect plagiarism in a document, most of them are domain-specific and designed to operate with English texts, but plagiarism is not limited to a single language. With 300 million native speakers and 37 million second-language speakers, Bengali is the most frequently spoken language in both Bangladesh and India. In this project, we designed and developed a plagiarism detection method that makes use of Natural Language Processing (NLP) methods to deliver more precise results than traditional methods. We used some Bangla datasets, which are mainly based on a lot of articles from Bangla newspapers, and we also created a dataset using scarper. We processed the collected datasets and then merged them with the dataset that we made by scraping and categorizing it. Then we trained the dataset with different models and tested the results. After performance testing, we built a UI for Bangla Plagiarism Checker so that users can check the similarity based on our training dataset.