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    • 2. 发明申请
    • Location Watching
    • 位置观看
    • US20130113655A1
    • 2013-05-09
    • US13289896
    • 2011-11-04
    • Guo Bin ShenZheng Zhang
    • Guo Bin ShenZheng Zhang
    • G01S19/48
    • G01C21/005G01S5/02G01S5/0205G01S19/42H04W4/023H04W4/029H04W84/042H04W84/12
    • Techniques for watching a location of a device with respect to a destination target include obtaining a current location of a device from a localization operation, calculating an interval, and performing a next localization operation after the interval has expired. The interval may be calculated based on a velocity and a distance from the current location to a destination target. The techniques may also include calculating a displacement distance from the current location and adjusting the interval based on the displacement distance to thereby adjust a time for performing the next localization operation. The techniques may include performing state detection to determine a motion state of the device and performing the next localization operation based on the determined motion state.
    • 用于观看相对于目的地目的地的设备的位置的技术包括从定位操作获得设备的当前位置,计算间隔,以及在间隔期满之后执行下一个定位操作。 该间隔可以基于从当前位置到目标目标的速度和距离来计算。 这些技术还可以包括计算与当前位置的位移距离,并且基于位移距离来调整间隔,从而调整用于执行下一个定位操作的时间。 这些技术可以包括执行状态检测以基于所确定的运动状态来确定设备的运动状态并执行下一个定位操作。
    • 3. 发明授权
    • Location watching
    • 位置观看
    • US08704710B2
    • 2014-04-22
    • US13289896
    • 2011-11-04
    • Guo Bin ShenZheng Zhang
    • Guo Bin ShenZheng Zhang
    • G01S19/46
    • G01C21/005G01S5/02G01S5/0205G01S19/42H04W4/023H04W4/029H04W84/042H04W84/12
    • Techniques for watching a location of a device with respect to a destination target include obtaining a current location of a device from a localization operation, calculating an interval, and performing a next localization operation after the interval has expired. The interval may be calculated based on a velocity and a distance from the current location to a destination target. The techniques may also include calculating a displacement distance from the current location and adjusting the interval based on the displacement distance to thereby adjust a time for performing the next localization operation. The techniques may include performing state detection to determine a motion state of the device and performing the next localization operation based on the determined motion state.
    • 用于观看相对于目的地目的地的设备的位置的技术包括从定位操作获得设备的当前位置,计算间隔,以及在间隔期满之后执行下一个定位操作。 该间隔可以基于从当前位置到目的地目标的速度和距离来计算。 这些技术还可以包括计算与当前位置的位移距离,并且基于位移距离来调整间隔,从而调整用于执行下一个定位操作的时间。 这些技术可以包括执行状态检测以基于所确定的运动状态来确定设备的运动状态并执行下一个定位操作。
    • 4. 发明申请
    • Event-Based Automated Diagnosis of Known Problems
    • 基于事件的自动诊断已知问题
    • US20070061623A1
    • 2007-03-15
    • US11556638
    • 2006-11-03
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • G06F11/00
    • G06F11/079G06F11/0715
    • System events preceding occurrence of a problem are likely to be similar to events preceding occurrence of the same problem at other times or on other systems. Thus, the cause of a problem may be identified by comparing a trace of events preceding occurrence of the problem with previously diagnosed traces. Traces of events preceding occurrences of a problem arising from a known cause are reduced to a series of descriptive elements. These elements are aligned to correlate differently timed but otherwise similar traces of events, converted into symbolic representations, and archived. A trace of events leading to an undiagnosed a problem similarly is converted to a symbolic representation. The representation of the undiagnosed trace is then compared to the archived representations to identify a similar archived representation. The cause of the similar archived representation is presented as a diagnosis of the problem.
    • 发生问题之前的系统事件可能类似于在其他时间或其他系统上出现相同问题的事件。 因此,可以通过将问题发生之前的事件跟踪与先前诊断的迹线进行比较来识别问题的原因。 在已知原因引起的问题发生之前的事件跟踪被简化为一系列描述性元素。 这些元素被对齐以将不同的定时但相似的事件轨迹相关联,转换成符号表示和归档。 类似地导致未定义的问题的事件的轨迹被转换为符号表示。 然后将未确定的跟踪的表示与归档表示进行比较,以识别类似的归档表示。 类似归档表示的原因被提出作为问题的诊断。
    • 5. 发明授权
    • Event-based automated diagnosis of known problems
    • 基于事件的自动诊断已知问题
    • US07171337B2
    • 2007-01-30
    • US11157712
    • 2005-06-21
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • G01R31/00
    • G06F11/079G06F11/0715
    • System events preceding occurrence of a problem are likely to be similar to events preceding occurrence of the same problem at other times or on other systems. Thus, the cause of a problem may be identified by comparing a trace of events preceding occurrence of the problem with previously diagnosed traces. Traces of events preceding occurrences of a problem arising from a known cause are reduced to a series of descriptive elements. These elements are aligned to correlate differently timed but otherwise similar traces of events, converted into symbolic representations, and archived. A trace of events leading to an undiagnosed a problem similarly is converted to a symbolic representation. The representation of the undiagnosed trace is then compared to the archived representations to identify a similar archived representation. The cause of the similar archived representation is presented as a diagnosis of the problem.
    • 发生问题之前的系统事件可能类似于在其他时间或其他系统上出现相同问题的事件。 因此,可以通过将问题发生之前的事件的跟踪与先前诊断的痕迹进行比较来识别问题的原因。 在已知原因引起的问题发生之前的事件跟踪被简化为一系列描述性元素。 这些元素被对齐以将不同的定时但相似的事件轨迹相关联,转换成符号表示和归档。 类似地导致未定义的问题的事件的轨迹被转换为符号表示。 然后将未确定的跟踪的表示与归档表示进行比较,以识别类似的归档表示。 类似归档表示的原因被提出作为问题的诊断。
    • 9. 发明授权
    • Event-based automated diagnosis of known problems
    • 基于事件的自动诊断已知问题
    • US07337092B2
    • 2008-02-26
    • US11556638
    • 2006-11-03
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • G06F19/00G06F17/40
    • G06F11/079G06F11/0715
    • System events preceding occurrence of a problem are likely to be similar to events preceding occurrence of the same problem at other times or on other systems. Thus, the cause of a problem may be identified by comparing a trace of events preceding occurrence of the problem with previously diagnosed traces. Traces of events preceding occurrences of a problem arising from a known cause are reduced to a series of descriptive elements. These elements are aligned to correlate differently timed but otherwise similar traces of events, converted into symbolic representations, and archived. A trace of events leading to an undiagnosed a problem similarly is converted to a symbolic representation. The representation of the undiagnosed trace is then compared to the archived representations to identify a similar archived representation. The cause of the similar archived representation is presented as a diagnosis of the problem.
    • 发生问题之前的系统事件可能类似于在其他时间或其他系统上出现相同问题的事件。 因此,可以通过将问题发生之前的事件的跟踪与先前诊断的痕迹进行比较来识别问题的原因。 在已知原因引起的问题发生之前的事件跟踪被减少到一系列描述性元素。 这些元素被对齐以将不同的定时但相似的事件轨迹相关联,转换成符号表示和归档。 类似地导致未定义的问题的事件的轨迹被转换为符号表示。 然后将未确定的跟踪的表示与归档表示进行比较,以识别类似的归档表示。 类似归档表示的原因被提出作为问题的诊断。
    • 10. 发明申请
    • Event-based automated diagnosis of known problems
    • 基于事件的自动诊断已知问题
    • US20060288261A1
    • 2006-12-21
    • US11157712
    • 2005-06-21
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • G06F11/00
    • G06F11/079G06F11/0715
    • System events preceding occurrence of a problem are likely to be similar to events preceding occurrence of the same problem at other times or on other systems. Thus, the cause of a problem may be identified by comparing a trace of events preceding occurrence of the problem with previously diagnosed traces. Traces of events preceding occurrences of a problem arising from a known cause are reduced to a series of descriptive elements. These elements are aligned to correlate differently timed but otherwise similar traces of events, converted into symbolic representations, and archived. A trace of events leading to an undiagnosed a problem similarly is converted to a symbolic representation. The representation of the undiagnosed trace is then compared to the archived representations to identify a similar archived representation. The cause of the similar archived representation is presented as a diagnosis of the problem.
    • 发生问题之前的系统事件可能类似于在其他时间或其他系统上出现相同问题的事件。 因此,可以通过将问题发生之前的事件的跟踪与先前诊断的痕迹进行比较来识别问题的原因。 在已知原因引起的问题发生之前的事件跟踪被简化为一系列描述性元素。 这些元素被对齐以将不同的定时但相似的事件轨迹相关联,转换成符号表示和归档。 类似地导致未定义的问题的事件的轨迹被转换为符号表示。 然后将未确定的跟踪的表示与归档表示进行比较,以识别类似的归档表示。 类似归档表示的原因被提出作为问题的诊断。