TEST OBJECT HAVING A MEASURING MODULE
    5.
    发明公开

    公开(公告)号:US20240192086A1

    公开(公告)日:2024-06-13

    申请号:US18287675

    申请日:2022-04-19

    申请人: AVL List GmbH

    IPC分类号: G01M15/02 G01M15/05 G06F17/40

    CPC分类号: G01M15/02 G01M15/05 G06F17/40

    摘要: The aim of the invention is to provide a flexible testing assembly comprising a test object at a testing device for performing a test phase of a test sequence using measured values (M) of the test object. This aim is achieved in that the test object comprises a measuring module, wherein a test sensor is provided in the measuring module and designed to acquire the measured values (M) of the test object. A communications device is provided in the measuring module and designed to transmit the measured values (M) to an evaluation unit of the testing device, wherein the evaluation unit is designed to process the measured values (M) in order to perform the test phase of the test sequence.

    Optimized Unbiased Statistical Analysis Of Partially Sampled Traces Without Completeness Information

    公开(公告)号:US20240004956A1

    公开(公告)日:2024-01-04

    申请号:US18215880

    申请日:2023-06-29

    申请人: Dynatrace LLC

    发明人: Otmar ERTL

    IPC分类号: G06F17/40

    CPC分类号: G06F17/40

    摘要: A technology is disclosed for maximizing the creation of transaction trace data by multiple, different monitoring data sources like agents having individual volume constraints for created trace data. Trace context data identifying individual transactions and containing shared randomness data is propagated between agents and used in created trance data to maintain transaction identity in trace data fragments and for consistent sampling decisions. Sampling decisions for individual trace data fragments are based on the shared randomness data and on an agent-autonomously defined sampling probability. Values of randomness data and sampling probability are restricted to a limited number, like the values of a geometric series with a common ratio of ½. Shared randomness data and sampling probability are included in created trace data. Restricting randomness data and sampling probability to values of a geometric series with common ratio ½ leads to additional numeric advantages for the computer implemented calculation of estimation results.

    AI enabled sensor data acquisition
    10.
    发明授权

    公开(公告)号:US11842269B2

    公开(公告)日:2023-12-12

    申请号:US16886428

    申请日:2020-05-28

    申请人: Hitachi, Ltd.

    IPC分类号: G06N3/08 G06N20/00 G06F17/40

    CPC分类号: G06N3/08 G06N20/00 G06F17/40

    摘要: Example implementations described herein can dynamically adapt to changing nature of sensor data traffic and through artificial intelligence (AI, strike a good tradeoff between reducing volume of sensed data, and retain enough data fidelity so that subsequent analytics applications perform well. The example implementations eliminate heuristic methods of setting sensing parameters (such as DAQ sampling rate, resolution etc.) and replaces them with an automated, AI driven edge solution core that can be readily ported on any Internet of Things (IoT) edge gateway that is connected to the DAQ.