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Showing 1 to 7 of 7 for “"Real-time data streams"”.

  1. Estimating post-disaster traffic conditions using real-time data streams

    … models with a traffic model and traffic sensor data. Using the earthquake characteristics as an input to the traffic model, the traffic conditions are sequentially estimated given traffic sensor measurements using an ensemble Kalman filter. The proposed algorithm is tested through numerical …

    uiuc Repository record for Estimating post-disaster traffic conditions using real-time data streams (opens in a new tab)

  2. Hoover bus : an input bus optimized for multiple real-time data streams

    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.

    mit Repository record for Hoover bus : an input bus optimized for multiple real-time data streams (opens in a new tab)

  3. Automated anomaly recognition in real time data streams for oil and gas industry.

    There is a growing demand for computer-assisted real-time anomaly detection - from the identification of suspicious activities in cyber security, to the monitoring of engineering data for various applications across the oil and gas, automotive and other engineering industries. To reduce the …

    rgu Repository record for Automated anomaly recognition in real time data streams for oil and gas industry. (opens in a new tab)

  4. Transit Demand Estimation And Crowding Prediction Based On Real-Time Transit Data

    … municipal transit authorities can leverage real-time data to estimate transit volume and predict crowding conditions. We introduce a proactive Transit Demand Estimation and Prediction System (TraDEPS) – an approach that has the potential to prevent crowding and improve transit service, by …

    uwo Repository record for Transit Demand Estimation And Crowding Prediction Based On Real-Time Transit Data (opens in a new tab)

  5. Machine learning and coresets for automated real-time data segmentation and summarization

    In this thesis, we develop a family of real-time data reduction algorithms for large data streams, by computing a compact and meaningful representation of the data called a coreset. This representation can then be used to enable efficient analysis such as segmentation, summarization, …

    mit Repository record for Machine learning and coresets for automated real-time data segmentation and summarization (opens in a new tab)

  6. Towards handling temporal dependence in concept drift streams.

    … the production of an incomprehensible amount of data from a wide array of devices. A constant supply of new data provides an invaluable opportunity for access to qualitative and quantitative insights. Organisations recognise that, in today's modern era, data provides a means of mitigating risk …

    rgu Repository record for Towards handling temporal dependence in concept drift streams. (opens in a new tab)

  7. Monitoring uncertain data for sensor-based real-time systems

    Monitoring of user-defined constraints on time-varying data is a fundamental functionality in various sensor-based real-time applications such as environmental monitoring, process control, location-based surveillance, etc. In general, these applications track real-world objects and constantly …

    texas Repository record for Monitoring uncertain data for sensor-based real-time systems (opens in a new tab)