Sökning: "signal identifiering"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden signal identifiering.

  1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    Master-uppsats, Högskolan i Gävle/Elektronik

    Författare :Pradip Nath; [2024]
    Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

  3. 2. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    Master-uppsats, KTH/Fysik

    Författare :Jeanette Marie Victoria Skeppland Hole; [2023]
    Nyckelord :ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Sammanfattning : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). LÄS MER

  4. 3. Development and Application of Analytical Tools for Calcium Signaling Dynamics in MDCK-II Cells

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Hanna Israelsson; [2023]
    Nyckelord :Cellpose 2.0; MDCKII; GCaMP6m; Gap Junctions; Calcium; Ouabain; Cellpose 2.0; MDCKII; GCaMP6m; Gap Junctions; Kalcium; Ouabain;

    Sammanfattning : Calcium, a pivotal ion in various human signaling pathways, holds significant relevance in cancer research and treatment. Investigating the transmission of spontaneous calcium signals between cells and understanding how they are influenced by different treatments is therefore an interesting area of study. LÄS MER

  5. 4. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Mahyar Mehr; [2023]
    Nyckelord :Machine learning; Flywheel training; Exercise detection; Signal processing; Exxentric kBox platform; Automatic exercise classification; Feature engineering; Maskininlärning; Träning med svänghjul; Upptäckt av träning; Signalbehandling; Exxentric kBox-plattformen; Automatisk träningklassificering; Funktionsutveckling;

    Sammanfattning : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. LÄS MER

  7. 5. High-Performance Beamforming for Radar Technology : A Comparative Study of GPU Beamforming Algorithms

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oscar Lindgren; [2022]
    Nyckelord :Accelerated signal processing software; Beamforming; Electronic warfare; Electromagnetic waves; Emitter identification; Radar technology; Accelererad signalbehandlingsmjukvara; Beamforming; Elektronisk krigsföring; Elektromagnetiska vågor; Sändaridentifikation; Radarteknologi;

    Sammanfattning : Radar technology is widely used in today´s society, whether it is the localisation and identification of aircraft in air traffic control systems, ships in harbour management systems, or the weather forecast presented on the news. In military applications, such as in fighter jets or missile lock-on systems, the speed at which the radar processes incoming data is essential to ensure a successful outcome. LÄS MER