Telecommunication Engineering

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https://hdl.handle.net/20.500.11888/10120

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    Underwater Wireless Optical Communication (UWOC)
    (2025) Bayan Shtaiwi; Hadeel Masri; Mayson Alawneh
    Underwater wireless communication refers to transmitting data in unguided water environment through the use of wireless carriers, i.e., radio frequency wave, acoustic wave, and optical wave. We focus, in this thesis, on the underwater wireless optical communication (UWOC) that employs optical wave as the transmission carriers. I n comparison to RF and acoustic counterparts, UWOC has a much higher transmission bandwidth, thus providing much higher data rate. Due to this high speed transmission advantage, UWOC has attracted considerable attention in recent years. Many potential appl ications of UWOC systems have been proposed for environmental monitoring, offshore exploration, disaster precaution, and military operations. However, UWOC systems also suffer from severe absorption and scattering introduced by underwater channel. In order to overcome these technical challenges, several new system design approaches, which are different from the conventional terrestrial free space optical communication, have been explored in recent years.
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    Underwater Wireless Optical Communication(UWOC)
    (2024) Bayan Shtaiwi; Hadeel Masri; Mayson Alawneh
    Underwater wireless communication refers to transmitting data in unguided water environment through the use of wireless carriers, i.e., radio frequency wave, acoustic wave, and optical wave. We focus, in this thesis, on the underwater wireless optical communication (UWOC) that employs optical wave as the transmission carriers. In comparison to RF and acoustic counterparts, UWOC has a much higher transmission bandwidth, thus providing much higher data rate. Due to this high speed transmission advantage, UWOC has attracted considerable attention in recent years. Many potential applications of UWOC systems have been proposed fo r environmental monitoring, offshore exploration, disaster precaution, and military operations. However, UWOC systems also suffer from severe absorption and scattering introduced by underwater channel. In order to overcome these technical challenges, sever al new system design approaches, which are different from the conventional terrestrial free space optical communication, have been explored in recent years.
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    Presented in partial fulfillment of the requirements for Bachelor degree in ‘’Telecommunications Engineering‘’ Smart Glass Window
    (2024) Eng. Amr Ishtyeh; Eng. Rafah Nairat; Eng. Yousef Shmlawi
    To the best of our knowledge, no hardware nor software implementation of a Smart Glass Window system has been carried out in our university, in this project we are planning to accomplish this task. In this project we will use Arduino IDE software to build an intelligent Smart Glass Window capable of choosing different transparency degrees appropriate for different weather conditions, with and without any human interference in the process. To build the Project, we first had to face the obstacle of bringing the PDLC from outside Palestine due to the conditions and war that the country is suffering from. The parts of the controller (Arduino) and the inputs of the sensors were assembled and the PDLC module was connected to obtain variable transparency for the PDLC module. We believe this project will be applied in all aspects of life, from hospitals to cars to homes.
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    ECG analysis system
    (2022) Aqraa Malak; Masri Tasbeeh
    The idea of our project based on the ECG analysis of the patient to detect some Changes that can cause certain diseases. This will enable us to detect these diseases as a result Of Specific changes in specific parts of the signal in the ECG signal, such as interval, Amplitude .as each of these changes is linked to a particular disease. We will collect the ECG data from the patient by placing ECG sensor on specific areas of the Patient’s body then we will transfer these data to the raspberry pi that attached to the ECG Sensor.Using the Matlab, we will analyze the signal to detect the QRS-waves
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    Liver Disease Prediction Using Machine Learning Algorithms
    (2022) Hanani Worood; Awad Areej
    Nowadays technology takes a huge space in our lives especially in medical applications. The detection of liver disease at a preliminary stage is important for better treatment. It is a very challenging task for medical. This project will take the responsibility of decreasing the detection time to save patients life. This motion will implement using machine learning techniques such as SVM, KNN, CNN and ANN. It will compare between these algorithms and decide the best algorithm to build a complete system using python to detect the liver disease fast and efficiently. After the study CNN algorithm turned out to be the best algorithm to implement and provides more accuracy than other algorithms.