System and method for system surveillance using firmware progress code
    81.
    发明授权
    System and method for system surveillance using firmware progress code 失效
    使用固件进度代码进行系统监控的系统和方法

    公开(公告)号:US06968477B2

    公开(公告)日:2005-11-22

    申请号:US10093434

    申请日:2002-03-07

    CPC classification number: G06F11/2736 G06F11/2284

    Abstract: A system and method for monitoring a host computer using a service processor is provided. A shared nonvolatile random access memory (NVRAM) area is used to store progress information from the host computer system. The host computer system writes progress information corresponding to the initialization step being performed to the shared NVRAM and also updates a host pointer in the NVRAM. The service processor reads the shared NVRAM and compares its pointer with the host pointer to determine whether new host initialization activity has been reported. The service processor sets a timer so that if host activity is not reported during a set amount of time an error condition occurs causing the service processor to handle the host computer error. An optional service processor routine determines whether the host computer is stuck in an initialization loop whereupon the service processor once again handles the host computer error.

    Abstract translation: 提供了一种使用服务处理器监视主机的系统和方法。 共享的非易失性随机存取存储器(NVRAM)区域用于存储来自主机系统的进度信息。 主计算机系统将与正在执行的初始化步骤相对应的进度信息写入共享NVRAM,并且更新NVRAM中的主机指针。 服务处理器读取共享NVRAM并将其指针与主机指针进行比较,以确定是否已经报告了新的主机初始化活动。 服务处理器设置定时​​器,使得如果在设定的时间内没有报告主机活动,则出现错误状况导致服务处理器处理主机错误。 可选的服务处理器例程确定主计算机是否卡在初始化循环中,服务处理器再次处理主计算机错误。

    Parallel chart generator
    82.
    发明授权

    公开(公告)号:US11893666B2

    公开(公告)日:2024-02-06

    申请号:US17578946

    申请日:2022-01-19

    CPC classification number: G06T11/206 G06F7/08 G06F16/287

    Abstract: An approach is provided in which the approach generates a parallel chart based on multiple records that includes a set of variable values corresponding to a set of variables. To generate the parallel chart, the approach arranges the set of variables on the parallel chart in a variable order based on at least one variable arrangement rule. The approach arranges an initial variable value order for each one of the set of variables, and computes a lucidity score based on the variable order and the initial variable value order of each of the set of variables. The lucidity score is a measurement of the clarity of the parallel chart. The approach adjusts the variable value order of at least one of the set of variables to increase the lucidity score and optimizes the clarity of the parallel chart based on the adjusted variable value order.

    Dynamically inheriting accumulated attribution

    公开(公告)号:US11853697B2

    公开(公告)日:2023-12-26

    申请号:US17238515

    申请日:2021-04-23

    CPC classification number: G06F40/284 G06N7/01

    Abstract: An approach is provided in which a method, system, and program product build a time series prediction model based on one or more relationships between a first set of keywords in a set of first news articles and a second set of keywords in a set of second news articles. The time series prediction model includes a time-based interest level adjustment corresponding to a publication time between the set of first news articles and the set second of news articles. The method, system, and program product use the time series prediction model to compute an inherited initial interest level of a third news article that includes a set of new keywords based on the set of new keywords and the time-based interest level adjustment. The method, system, and program product assign the inherited initial interest level to the third news article.

    Stream synchronization using an automated digital clapperboard

    公开(公告)号:US11122321B1

    公开(公告)日:2021-09-14

    申请号:US16840679

    申请日:2020-04-06

    Abstract: An approach is provided in which the approach receives a media stream comprising an audio stream and a video stream. The audio stream includes a set of audio tones inserted at a set of predetermined frame intervals, and the video stream includes a set of predetermined colors inserted into a set of predetermined pixel locations at the predetermined frame intervals. The approach determines that an audio frame in the audio stream at which the set of audio tones are inserted is misaligned in time with a video frame in the video stream at which the set of predetermined colors are included in the set of predetermined pixel locations. The approach synchronizes the audio stream with the video stream in response to the determination and aligns in time the audio frame with the video frame at one of the predetermined frame intervals.

    Distributed directory of named data elements in coordination namespace

    公开(公告)号:US11016908B2

    公开(公告)日:2021-05-25

    申请号:US16216863

    申请日:2018-12-11

    Abstract: An approach is described that provides a distributed directory structure within a storage of an information handling system (a local node). A request is received with the request corresponding to a shared virtual address. The shared virtual address that is shared amongst a number of nodes that includes the local node and some remote nodes. A Global Address Space Directory (GASD) is retrieved that corresponds to a global virtual address space. The GASD is stored in a Coordination Namespace that is stored in a memory that is distributed amongst the nodes. A mapping that is included in the GASD is used to determine the node where the shared virtual address currently resides. The shared virtual address is then accessed from the node where it currently resides.

    Personally identifiable information determination

    公开(公告)号:US10803095B2

    公开(公告)日:2020-10-13

    申请号:US16048825

    申请日:2018-07-30

    Abstract: An approach is provided in which a system analyzes a first set of data to derive a first distribution output that is based on a first conjugated distribution corresponding to the first set of data and a domain class model. The system utilizes the first distribution output as a baseline input to generate a second conjugated distribution corresponding to a second set of data and the domain class model. Next, the system derives a second distribution output of the second set of data based on the second conjugated distribution. The second distribution output identifies at least one personally identifiable information (PII) data field corresponding to the second set of data that was not identified as a PII data field in the domain class model. In turn, the system tags at least a portion of the second set of data as PII based on the derived second distribution output.

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