BASE STATION FOR MOBILE COMMUNICATION SYSTEM
    51.
    发明申请

    公开(公告)号:US20200229155A1

    公开(公告)日:2020-07-16

    申请号:US16695175

    申请日:2019-11-25

    Abstract: A base station (BS) for a mobile communication system is provided. The BS generates resource configuration setting information according to periodic traffic pattern information associated with a user equipment (UE). The resource configuration setting information includes a plurality of resource configurations. The BS transmits the resource configuration setting information to the UE. Afterwards, the BS transmits first downlink control information (DCI) to the UE. The DCI indicates that at least one of the resource configurations is activated.

    BASE STATION AND USER EQUIPMENT FOR MOBILE COMMUNICATION SYSTEM

    公开(公告)号:US20200229055A1

    公开(公告)日:2020-07-16

    申请号:US16699053

    申请日:2019-11-28

    Inventor: Chun-Che CHIEN

    Abstract: A base station (BS) and a user equipment (UE) for a mobile communication system are provided. The BS stores a plurality of cellular QoS parameter sets and a plurality of additional vertical-specific information sets. Each of the additional vertical-specific information sets includes periodicity, a traffic arrival pattern and a packet size. The BS generates resource configuration setting information according to at least one of the cellular QoS parameter sets and at least one of the additional vertical-specific information sets associated with a service type of the UE, and transmits the resource configuration setting information to the UE.

    User equipment and cell re-selection estimation method thereof

    公开(公告)号:US10694431B2

    公开(公告)日:2020-06-23

    申请号:US16017895

    申请日:2018-06-25

    Abstract: A user equipment and cell re-selection estimation method thereof for use in a NB-IoT communication system are provided. The user equipment selects a cell re-selection criterion according to a user equipment status, and determines whether a serving RSRP value of a serving base station is greater than a re-selection threshold value based on the cell re-selection criterion. The user equipment performs cell re-selection when the serving RSRP value is greater than the re-selection threshold value. The user equipment does not perform the cell re-selection when the serving RSRP value is not greater than the re-selection threshold value.

    Testing in serverless system with autostop of endless loop

    公开(公告)号:US10691515B2

    公开(公告)日:2020-06-23

    申请号:US15834448

    申请日:2017-12-07

    Inventor: Shih-Yu Lu

    Abstract: The detecting method includes: obtaining a testing signal, perform at least one action according to the testing signal, and transmit a request instruction comprising the testing signal; determining that whether the testing signal of the request instruction represents performing a testing mode by a processor; if the processor determines that the testing signal of the request instruction represents performing the testing mode, the processor requests a testing service device to provide at least one service corresponding to the request instruction; collecting a performing order when the processor performing the at least one action and a performing result of each one of the at least one action, and combine the performing order and the performing result as a to-be classified data; and calculating a detecting result according to the to-be classified data, wherein the detecting result represents that whether a snow ball effect will occur.

    OPTIMIZATION METHOD AND MODULE THEREOF BASED ON FEATURE EXTRACTION AND MACHINE LEARNING

    公开(公告)号:US20200184028A1

    公开(公告)日:2020-06-11

    申请号:US16424168

    申请日:2019-05-28

    Abstract: An optimization method based on feature extraction and machine learning is provided. At least one input parameter is received. Multiple first historical mold data are retrieved. A similarity calculation is performed according to the input parameter and the first historical mold data. Multiple candidate mold data are selected according to the similarity calculation. The mold design parameters of the candidate mold data corresponding to each input parameter are replaced by the input parameter, and multiple first representative mold data for performing a first simulation analysis are generated. Multiple key feature parameters are found, and multiple second historical mold data are retrieved according to the multiple key feature parameters. An expected data is found, and the mold design parameters of the expected data are filtered and optimized to find multiple second representative mold data for performing a second simulation analysis. At least one set of mold production parameters is generated.

    SIMULATION APPARATUS AND METHOD
    56.
    发明申请

    公开(公告)号:US20200159876A1

    公开(公告)日:2020-05-21

    申请号:US16264665

    申请日:2019-01-31

    Abstract: A simulation device and method are provided. The simulation device includes an interface, a storage, and a processor. The storage stores a plurality of digital twin models, each of the digital twin models simulates one entity of the at least one production line. The processor performs the following operations: generating a plurality of task requirements according to a production specification and a production data; broadcasting the task requirements to each of the digital twin models that meets one of the task requirements, wherein each of the digital twin models generates a state report based on the received task requirements; generating a plurality of task twin models based on the state reports, wherein each of the task twin models includes a group of digital twin models corresponding to the task requirements; and generating a plurality of simulation results according to the task twin models.

    Object detection and tracking method and system for a video

    公开(公告)号:US10600190B2

    公开(公告)日:2020-03-24

    申请号:US15822037

    申请日:2017-11-24

    Abstract: An object detection and tracking method and system are provided. The object detection and tracking method includes the following steps: (i) selecting one of a plurality of frames of a video as a current frame, (ii) searching in an object tracker searching area of the current frame to generate a current object tracker, (iii) searching in each auxiliary tracker searching area of the current frame to individually generate a current auxiliary tracker, (iv) when the current object tracker is located at a block different from the blocks located by the generated object trackers, generating a new auxiliary tracker at the central position of the current frame, and (v) repeating the above steps until all the frames have been processed.

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