Theses, Dissertations & Reports

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    Design And Implementation Of A Multiple Input And Multiple Output (Mimo) Boost Converter
    (Department of Electrical and Electronic Engineering, 2022-04) HASAN, MD. JAHID; CHY, MD. ABUL HASNAIN
    The voltage from the input supply to the output load is increased by the boost converter. A DC to DC and DC to AC power converter is what it is. To enhance efficiency and reduce losses, the switch mode power supply (SMPS) must be quickly turned on and off. For SMPS, including boost converters, the introduction of commercial solid-state switches in the 1950s marked a crucial turning point. The boost converter may continue to output the required current at that low input voltage due to its capacity to endure a small switching current. A boost converter's output voltage is always higher than its input voltage. In a boost power stage realistic, an inductor is depicted closed with current flowing through it in a clockwise direction to store some energy. Both power MOSFETs and bipolar power transistors are used in power switching; the decision to use one over the other is decided based on variables like current, voltage, switching speed, and cost. The boost converter circuit can produce a lot of voltage, thus we want to utilize a capacitor with a high voltage rating. The capacitance of the capacitor should be high as well. Since the inductor is discharging a sizable quantity of current, we need the capacitor's capacity to maintain this charge. The main DC/DC converters were created in the early 1960s, when solid-state switches were readily accessible. As a result of the aircraft industry's requirement for small, light-weight power converters, technology has moved swiftly in this area. Our complete system is controlled by a microcontroller chip and LC circuits. With this project, the designer will have a technique to raise the DC voltage from 05V and 12V DC to 06V-36V DC. This project involves the design, control, and modeling of a unique Multi Input-Multi-Output Boost Converter architecture. The main advantages of the system are voltage stepping up with the least number of components possible, low operational duty cycle, and great efficiency across a wide range of input and output voltages. This discovery has a wide range of alternate applications, including power supply for LEDs and battery packs for electric vehicles.
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    Design And Implementation of A Rfid and Bar Code Based Smart Meter Security System And Gsm Based Power Unit Observation
    (Department of Electrical and Electronic Engineering, 2022-06) Hossain, Md. Khaled; Hossain, Md Araf
    A typical meter reading system causes lots of problems. If some outsider connects a hidden line with a house property it’s been very difficult for him to detect the outsider’s electrical connection. This project has given a solution to that problem by creating extra security over the meter reading system. By using this system a user can only read his/her meter balance by punching a rfid tag. If he doesn’t have the rfid card then he /she can not check the meter balance. So only the authorized user can see how much load is connected to the meter and find the unauthorized connection. This system will also work as a complete blockchain system. So the user will have an android app, where he/she can find the meter reading current status after authentication. A registered user can also recharge the meter by scanning its Barcode tag. So he/she don’t have to give manual token number. This system has been developed in such an easy way that any user can check , recharge and observe his billing status from the application
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    Analyzation of Q-factor for Free Space Optical Communication System Using Neural Network
    (Department of Electronic and Telecommunication Engineering, 2021-10) Mohammad Nur Uddin Sikder, T171023; Lokman Hossen, T171039; Fahim Ikbal Sakib T171045
    Analyzation of Q-factor for Free Space Optical Communication System Using Neural Network There are many options for optical fiber communication system configurations according to user satisfaction, but to establish this system it is essential to simulate the system to avoid unexpected output. To predict the output, among other mathematical tools, many researchers found the neural network is remarkable and one of the most promising methodological approaches to perform network-data analysis and enable automated network self-configuration and fault management. In this research paper, we proposed a neural network to perform optical communications and networking analysis, summarize and compare some classical research using the MATLAB tools. For training and test data, as the maximum quality factor can be achieved using Gaussian optical filter compared to different optical filters simulated by optical communication system design software product by the optical-wave team, we’ve used the Gaussian optical filter throughout the procedure. We also have used different data rates and diameter aperture. And the system performance is evaluated using the BER curve, Q factor, eye diagram, and spectrum analyzer output
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    Design and Development of a Smart Wheelchair Prototype for Physically Disabled People.
    (IIUC Central Library, 2017-12-14) KHAN, MD. SALMAN; HOSSAIN, MD. SHAKHAWAT
    Bangladesh is a developing country with a large number of people. Every year, a large number of people become lame due to road accident and unable to walk normally. Wheel chair is the best assistive device used by elder and differently abled people who cannot walked normally. The driving and controlling of traditional manual wheel chair are much harder task. So our aim is to build a powerful wheel chair which helps the handicapped (lower half of the body is paralyzed) people to travel without depending others. The bone for physically challenged people is a wheel chair. The wheel chair is developing day by day. The modern wheel chairs come equipped with a self-motor to help run the wheel chair by a joystick. The joystick controlled wheel chair is a bit difficult for certain people to operate. Mainly for old and weak people. Again, the voice controlled wheel chair is not suitable at all situation because of noisy environment and sound. It is also difficult to give command for old or weak people. Moreover this wheelchair is costly. So our proposal is to make such a cost effective electronic gesture based wheel chair which will be easy to operate rather than the joystick input. In our proposal, we will show to control a wheel chair using in build gesture function of a smartphone and touch sensor. A special feature of our wheel chair is that, obstacles in front of the way of wheel chair can be detected which can avoid the collision between chair with that detected obstacle. Another feature of this chair is to use an IP camera that gives visual and acoustic information to the guardian of the riding people. The aim of this developed electric wheelchair is to provide easy and comfortable life for the handicapped people whose lower half of the body is paralyzed.
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    Computer Vision Based Industrial and Forest Fire Detection Using Support Vector Machine (SVM)
    (IIUC Central Library) Rahman, Md Abdur; Hasan, Sayed Tanimun
    Burning issue is a very serious issue nowadays in our garments and industries sector. The workers are facing the problem and losing valuable life. On the other hand, investors are losing their hope in this sector. In this paper, we have propounded a vision-based system which is capable to detect fire. We have developed a pipeline model consisting of Background Subtraction, Color Segmentation, Special Wavelet Analysis & a Support Vector Machine which will detect real-time fire and smoke.For SVM model we have trained the dataset in two ways. One is the different kind of fire image and other is the image that looks like fire but it’s not fire. If the situation is breaking out of fire then the system will immediately raise an alarm and an automatic SMS and email will be sent to the authority and nearby fire station. In this study, the proposed strategy works on a very large dataset of fire videos that have been collected both in real life situations and from the internet.In this SVM pipeline model shows the maximum accuracy is is 93.33%. The system can fulfill the precision and detect faster real-time fire detection. Its industrial application will aid in the early detection of fires, as well as emergency management, and so greatly contribute to loss prevention.