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WAFER PROBING MEASUREMENTS OF ITkPix-V1 FOR ITk PIXEL ATLAS UPGRADE
(An-Najah National University, 2024-07-22) Salahat, Hosnia
This thesis is related to a Toroidal LHC Apparatus (ATLAS), the biggest general-purpose detector at the Large Hadron collider (LHC). Inside the LHC ring, two high energy hadron beams collide. This collision needs to be detected to check the predictions of particle physics theories, such as the properties of the Higgs boson, which is so crucial to the Standard Model. For that, ATLAS and other detectors were built. Researchers need to boost the LHC's performance by increasing its integrated luminosity by a factor of ten beyond its design value to maximize discoveries possibility in 2029, known as the High Luminosity-Large Hadron Collider (HL-LHC) plan. ATLAS detector is going under upgrading processes to cope with this higher luminosity, in which its inner detector (ID) that is composed partially of silicon is going to be replaced by a new inner tracker (ITk) consists completely of silicon. The new ITk is composed of a strip detector and pixel detector. The building blocks of the ITk’s pixel detector are the pixel modules which contains readout chips called the ITkPix-V1. Those chips are going under tests to check its suitability to be used in the new ITk. One of those tests is the wafer probing tests. In Laboratoire De Physique Des 2 Infinite Irène Joliot-Curie (IJCLab), the wafer propping set-up used for this task has to undergo a quality control process to decide its fit to do the tests on the chips, so the main topic of this thesis is analyzing the results of the tests done by the wafer probing set-up of IJCLab on the ITkPix-V1 chips and comparing it to reference measurements done by the University of Bonn on the same chips in order to help qualifying the set-up of IJCLab to do the wafer probing tests. Part of the test results were similar to the reference results while some were not. Depending on the analysis done, some reasons that cause the non consistent results were found. Key Words: ATLAS, LHC, HL-LHC, ITk, ITkPix-V1.
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Real Time Adaptive Active Noise Cancellation (ANC)
(2024) Hind AL Haj; Elham AlHasan; Roaa Khamous
Real-Time Adaptive Active Noise Cancellation (ANC) is an important project related to its potential to significantly improve the quality of life and enhance different industries by addressing the issue of unwanted background noise. Real-Time Adaptive Active Noise Cancellation holds immense significance as it addresses noise-related challenges across different sectors, improves overall well-being, enhances communication and productivity, and opens doors to innovative applications. Its potential impact on quality of life and the way we experience sound underscores its importance in modern society. several important aspects should be carefully considered and addressed to ensure its effectiveness, reliability, and real-world applicability .Such as Signal Processing and Algorithms, Microphone Array Design, Real-Time Processing, Power Efficiency, Hardware Integration, Audio Quality Preservation. The main objectives of a Real-Time Adaptive Active Noise Cancellation (ANC) project are to develop a sophisticated technology that can effectively reduce or eliminate unwanted background noise in real-time, enhancing the quality of audio experiences and improving various aspects of daily life. Such as Noise Reduction, Real-Time Processing, Adaptability, High-Quality Audio, Enhanced Communication, Energy Efficiency. follows a seven-step methodology to create a Real-Time Adaptive ANC application that can dynamically and effectively filter out or cancel unwanted background noise in real-time 1. Conceptualization and Requirements Gathering: This step establishes the project’s scope, objectives, specifications, and constraints, which are focused on developing a Real-Time Adaptive ANC application that can adjust to different noise environments and user preferences, maintain the audio quality and naturalness, and achieve high performance and energy efficiency. 2. Research and Feasibility Analysis: This step performs literature review, market analysis, user research, and technical feasibility studies to determine the best practices, methods, tools, and resources for the project. 3. Algorithm Development: This step creates, tests, and optimizes the algorithms for noise cancellation, signal processing, adaptation, and audio quality preservation. VII | P a g e 4. Microphone Array Design and Integration: This step chooses, arranges, and integrates the microphones for capturing and processing the sound signals from different directions and distances. 5. Real-Time Processing Implementation: This step implements the algorithms on a suitable hardware platform that can meet real-time processing requirements such as speed, accuracy, latency, memory, and power consumption. 6. Testing and Evaluation: This step verifies the functionality, performance, usability, and user satisfaction of the application in various scenarios and environments. 7. Deployment and Maintenance: This step deploys the application to the target users or customers and provides ongoing support and updates. Real-Time Adaptive Active Noise Cancellation (ANC) projects have been undertaken before, and there are several similar applications available today across various industries.
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Real Time Adaptive Active Noise Cancellation (ANC)
(2024) Hind AL Haj; Elham AlHasan; Roaa Khamous
Real-Time Adaptive Active Noise Cancellation (ANC) is an important project related to its potential to significantly improve the quality of life and enhance different industries by addressing the issue of unwanted background noise. Real-Time Adaptive Active Noise Cancellation holds immense significance as it addresses noise-related challenges across different sectors, improves overall well-being, enhances communication and productivity, and opens doors to innovative applications. Its potential impact on quality of life and the way we experience sound underscores its importance in modern society. several important aspects should be carefully considered and addressed to ensure its effectiveness, reliability, and real-world applicability .Such as Signal Processing and Algorithms, Microphone Array Design, Real-Time Processing, Power Efficiency, Hardware Integration, Audio Quality Preservation. The main objectives of a Real-Time Adaptive Active Noise Cancellation (ANC) project are to develop a sophisticated technology that can effectively reduce or eliminate unwanted background noise in real-time, enhancing the quality of audio experiences and improving various aspects of daily life. Such as Noise Reduction, Real-Time Processing, Adaptability, High-Quality Audio, Enhanced Communication, Energy Efficiency. follows a seven-step methodology to create a Real-Time Adaptive ANC application that can dynamically and effectively filter out or cancel unwanted background noise in real-time 1. Conceptualization and Requirements Gathering: This step establishes the project’s scope, objectives, specifications, and constraints, which are focused on developing a Real-Time Adaptive ANC application that can adjust to different noise environments and user preferences, maintain the audio quality and naturalness, and achieve high performance and energy efficiency. 2. Research and Feasibility Analysis: This step performs literature review, market analysis, user research, and technical feasibility studies to determine the best practices, methods, tools, and resources for the project. 3. Algorithm Development: This step creates, tests, and optimizes the algorithms for noise cancellation, signal processing, adaptation, and audio quality preservation. 4. Microphone Array Design and Integration: This step chooses, arranges, and integrates the microphones for capturing and processing the sound signals from different directions and distances. 5. Real-Time Processing Implementation: This step implements the algorithms on a suitable hardware platform that can meet real-time processing requirements such as speed, accuracy, latency, memory, and power consumption. 6. Testing and Evaluation: This step verifies the functionality, performance, usability, and user satisfaction of the application in various scenarios and environments. 7. Deployment and Maintenance: This step deploys the application to the target users or customers and provides ongoing support and updates. Real-Time Adaptive Active Noise Cancellation (ANC) projects have been undertaken before, and there are several similar applications available today across various industries
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Cupcake symphony
(2024) Sama Fadda; Sarah Mahmoud
The Cupcakes Symphony project is an Automated Cupcake Decoration Line intends to transform the confectionery industry by giving customers a streamlined and engaging experience to customize and embellish their cupcakes. Along with giving customers a fun and original method to customize their cupcakes, it also offers a scalable revenue strategy for bakers and confectionery stores. With automation, the system significantly reduces decorating time, making it suitable for both personal use and commercial applications, it also makes sure that quality control is maintained throughout the decorating process while upholding high standards of hygiene and presentation. This line consists of several stages which are the decoration items such as frosting, sprinkles, etc.., the customers have the freedom to choose whatever they want from these items either by using the keypad or the mobile application. The last stage is the packaging stage. This idea exists in factories but there are no machines in small stores that do this task, they do that manually and this is time-wasting and there is no guarantee of cleanliness and quality.