Theses - Undergraduate
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- ItemOpen AccessSustainable 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; 1321489042In 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.
- ItemOpen AccessA novel Approach to LUFlow Intrusion Detection System Using Machine Learning Method(North South University, 2021-02-28) Taslima Akter; MD Asif Mahmud; Intisha Islam; Dr Mohammad Monirujjaman Khan; 1721599042; 1712841642; 1711854642We will create a model that will be taking images as input and extract the Bangla words from there and translate it into English. The main idea is to recognize Bangla texts from images, extract it from there and translate it to English. We will use the knowledge on OCR, NLP, Google Cloud API, etc to make it happen. This application will be helpful to foreigners who will come to visit Bangladesh but don’t know Bangla. They can read any instruction and signs written in Bangla only by taking a photo of the sign and uploading it to our application to get the output.
- ItemOpen AccessReconstructing Better Audio by Using Spetial Microphone(North South University, 2019-08-31) Md Mantasarul Elahi; Dr. Mohammad Ashrafuzzaman Khan; 1512518042This 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
- ItemOpen AccessTrapping 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; 1822071043This 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.
- ItemOpen AccessBangla Plagiarism Checker using Machine Learning-Multiple line Approach(North South University, 2023) Md Saiful Islam; Nabeel Mohammed; 1620578042Plagiarism 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.