Theses - Undergraduate

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    Open Access
    Surface Electromyography (sEMG) Based Cost-Effective Prosthetic Arm
    (North South University, 2022-01-01) RIDHWAN HOSSAIN AFRIDI; MD. ALIM ULLAH CHOWDHURY; SABINA RAHMAN; Md. Shahriar Hussain; 1822074043; 1811412043; 1822065043
    Surface Electromyography (sEMG) signals are biomedical signals that represent electrical currents generated during muscle activity, and our central nervous system controls these signals. As a result, we can develop a prosthetic arm using EMG technology. Currently, there are many myoelectric prosthetic arms available commercially. However, they are costly for developing countries like Bangladesh, India, and Pakistan. So we developed a cost-effective circuit to extract the electromyography signal from the skin. The signal from this detector circuit is imported in MATLAB using Arduino Uno R3 for signal analysis, such as Fast Fourier Transform (FFT) and Wavelet Transform (1-D), for the classification of features from the signal. We successfully detected two distinct features during the analysis: the Rest position and the Fist position of the hand. So we used the ESP32 microcontroller for the practical implementation of the system as it has better ADC (12-Bit), higher clock speed (80 MHz), better PWM, and lower power consumption. We used a threshold level to distinguish between the Fist and Rest positions. The threshold value was determined using the trial and error method, and this value may vary from person to person. Finally, the ESP32 drives five servo motors fitted inside the InMoov open-source 3D arm after determining the hand position
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    Open Access
    Senior Design Project 499A & 499B Smart Hydroponic System
    (North South University, 2022-01-01) Baitullah Nur Azam Hridoy; Hasnain Maruf Rafi; Ibn Ettihad; Tamanna Jahan Tonny; Dr. Mohammad Ashrafuzzaman Khan; 1911474043; 1611259642; 1831569643; 1721640042
    Hydroponic can be defined as growing plants in water containing nutrients. Examples of this type of hydroponic systems includes NFT (nutrient film technique) systems and deep-water float systems where plant roots are set in nutrient solutions. With this definition growing plants in soilless media (potting soil) or other types of aggregate media such as sand, gravel, and coconut coil are considered hydroponic systems. Here, we are using hydroponics to mean growing plants without soil. Essential nutrients can be broadly categorized as macronutrients and micronutrients. Macronutrients and micronutrients are both essential for plant growth and development. Macronutrients include carbon, hydrogen, oxygen, nitrogen, phosphorus, potassium, sulfur, calcium, and magnesium. Micronutrients include iron, manganese, zinc, boron, molybdenum, chlorine, copper, and nickel. The difference between macro- and micronutrients is the amount required by plants. Macronutrients are required in higher amounts than micronutrients. Page 4
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    Open Access
    Automated Customer Complaint Processing for Business Development Based on Natural Language Processing and Federated Learning - Case Study of Laptops
    (North South University, 2023-01-01) Md Ulfat Tahsin; Md Saeem Hossain Shanto; M. Rashedur Rahman; 1913057642; 1912218042
    Empathy is considered one of the key elements while developing a better version of any product or service. Recent developments in online shopping, business analytics, and business intelligence are taking organizations to sky-high profit margins. Many big and small organizations invest huge capital in collecting and analyzing customer feedback and market information. It is often a tedious process as it takes a long time to reach the manufacturers as they think of developing a better version of their products. Whereas companies performing no market research often fail to promote and increase the sales of their products due to a lack of empathy and failure to understand customer satisfaction and demands. Keeping that in mind, we put forward a complete system to generate product summaries, customer dissatisfaction reports, and graphical illustrations of the product based on customer reviews, complaints, and feedback, depending on their usage history. We employ Natural Language Processing to classify and analyze customer reviews and feedback and extract issues that customers face while using that product. Federated learning is utilized to ensure the data privacy of the participating clients, deal with non-uniform data distribution, and reduce the stress on the central server. With federated training rounds, the NLP models are updated after each round of federated computation using the FedAvg algorithm. We also analyzed the impact of federated training on the three BERT variants (BERT, DistillBERT, and RoBERTa) for performing the classification task, which is later managed by our web application system to generate an overall product complaint report and graphical illustration. The best result was obtained by the RoBERTa variant during our experiments. On our web application, the bestperforming model variant is deployed and tested. The simulation and web application show that our suggested system can be implemented successfully.
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    Open Access
    Senior Design Project Care & Cure
    (North South University, 2022-01-01) Md. Ahasanul Hoq; Turzo Saha; Md.Monimul Haque; Mst Ashrafun Nahar Ananna; Dr. Nafisa Noor; 1521687042; 1821563042; 1821781042; 1821234642
    During the period of Covid, telemedicine has shown its capabilities in critical situation helping people to provide health care from distance. From then, people, all over the world has changed their mind setup & started enjoying the flexibility of telemedicine services. On the other hand, senior citizens with their physical problems prefer to maintain their regular check up with the help of telemedicine services. Also, cities people like Dhaka dwellers are often like to avoid the critical traffic jam rather making appointments of their desired health experts by the blessing of telemedicine. By thinking of all the opportunities that a telemedicine platform has & also, by analyzing all the features that can be more convenient for patients, the project has been implemented. The report represents a web implementations of web telemedicine system with a lot convenient features, also attached with a disease prediction model what has been implemented by machine learning. A compatible patients and doctors collaboration systems with some useful features like OHR, Pharmacy finder, E-prescription, Health Care discussion community, Disease prediction system and many more
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    Open Access
    Port Area Security Surveillance Using Deep Learning
    (North South University, 2022-12-10) Tazwar Noor Adib Bhuiyan; Masum Newaz; DR. SHAFIN RAHMAN; 1931835642; 1911238042
    Intelligent Surveillance Technologies are currently incorporating public surveillance. Port crimes such as stealing have risen significantly in recent years, posing a severe threat to human life both globally and in Bangladesh.[1] Video surveillance is progressing beyond security to include intelligent video applications. There is a spike in the use of technology with extremely high standards everywhere, including airports, cities, retail businesses, and workplaces around the world and in our own country.[2] With the ability to distinguish small visual elements from long ranges, security teams can avert or alert to keep port people and assets safe. The identification of moving vehicles on the port can then be used to improve intelligent transportation systems including vehicle counting, tracking, and categorization.[3] Detecting person is also a subclass of object detection. It relates to locating individuals in images, determining their location and range, and has numerous applications in sectors such as video surveillance and target tracking.[4] The goal is to demonstrate an approach that consistently outperforms various kinds of moving objects, such as individuals and vehicles. As a result, it is effective to detect many classes of moving objects in security cameras. It is also computationally rapid and suitable for real-time detection of moving objects. However, in our project we will focus on detecting moving objects, vehicles in our case and try to identify its model and digitalize data entry by identification as the car moves from the container to the shades. Then we will work on the tracking of the detected and identified vehicles that arrives at the port along with that we tried to count the detected vehicles in a frame and also we saved the cropped images of the identified vehicles so that we know the cars or vehicles that has arrived from the ship to the shed.