Essays about: "sensor identification"

Showing result 1 - 5 of 90 essays containing the words sensor identification.

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

    University essay from Högskolan i Gävle/Elektronik

    Author : Pradip Nath; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE

  2. 2. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Deepthy Prasad; Swathi Hampapura Sripada; [2023]
    Keywords : multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

    Abstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE

  3. 3. Development of a Digital Coaching Application with Automated Mistake Identification using a Multi-Sensor Configuration

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Andreas Chrysanthou; [2023]
    Keywords : Sports technology; wearable sensors; multi-sensor; IMU; bodyweight exercise; mobile application; mHealth; Idrottsteknologi; bärbara sensorer; multisensor; kroppsviktsträning; mobilapplikation; mHälsa;

    Abstract : Home-based exercise is a popular physical activity of maintaining fitness, health andwellness in general. However, without proper supervision and basic knowledge of theexercises in the workout plan, there is an increased risk of injury. READ MORE

  4. 4. A Positioning System for Landing a UAV on a UGV in a GNSS-Denied Scenario

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Tim Wiik; [2022]
    Keywords : Sensor fusion; UAV; UGV; NIR-LED; Extended kalman filter; Unmanned Aerial Vehicle; Unmanned Ground Vehicle; Autonomous Landing; GNSS-denied Scenario;

    Abstract : A system of an unmanned aerial vehicle (UAV) collaborating with an unmanned ground vehicle (UGV) for use in for example surveillance, reconnaissance, transport and target acquisition is studied. The project investigates the problem of estimating the relative position, velocity and orientation between the UAV and the UGV required to autonomously land the UAV on the UGV during movement. READ MORE

  5. 5. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Serghei Socolovschi; [2022]
    Keywords : Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

    Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE