BLACK-BOX HOST STACK LATENCY MEASUREMENT
    13.
    发明申请
    BLACK-BOX HOST STACK LATENCY MEASUREMENT 有权
    黑盒主机堆栈测量

    公开(公告)号:US20090006688A1

    公开(公告)日:2009-01-01

    申请号:US11769619

    申请日:2007-06-27

    IPC分类号: G06F13/00

    CPC分类号: G06F13/385

    摘要: A method comprises sniffing an input from a client device to a host device and an output from the host device to the client device; recording a first time parameter in response to a characteristic data unit being inserted into the input that is outputted from a host stack of a host device; recording a second time parameter in response to the output that comprises the characteristic data unit being received by the host stack; and measuring a latency based on the first time parameter, the second time parameter and arrival time of the input and the output at a sniffing point.

    摘要翻译: 一种方法包括从客户端设备向主机设备嗅探输入以及从主机设备向客户端设备的输出; 记录第一时间参数以响应于从主机设备的主机栈输出的输入中插入的特征数据单元; 响应于包括由主机栈接收的特征数据单元的输出记录第二时间参数; 以及基于第一时间参数,第二时间参数和输入的到达时间以及在嗅探点处的输出来测量延迟。

    System for energy on-site collection and measurement feedback

    公开(公告)号:US10112102B2

    公开(公告)日:2018-10-30

    申请号:US13503897

    申请日:2010-10-22

    申请人: Xiao Hu Jin Hu

    发明人: Xiao Hu Jin Hu

    摘要: The invention relates to a system for energy on-site collection and measurement feedback, which comprises fitness apparatuses capable of producing mechanical energy, generators, power meters and energy storage accumulators, wherein the fitness apparatuses are provided with moving parts for exercise which are connected with the generators and drive the generators to generate power; the generators are connected with the accumulators through the power meters for measuring the generating capacity; and each power meter comprises a bank card reader which has function of reading and updating data. The power meters can count and display energy produced by the excise of each person each time and a data processing host can summarize energy values produced by different apparatuses on the same site, so that exercisers are promoted to increase interest in exercise and take exercise regularly.

    System and method for advanced condition monitoring of an asset system
    17.
    发明授权
    System and method for advanced condition monitoring of an asset system 有权
    资产系统高级状态监测系统和方法

    公开(公告)号:US07756678B2

    公开(公告)日:2010-07-13

    申请号:US12129632

    申请日:2008-05-29

    IPC分类号: G06F11/28

    摘要: A method for advanced condition monitoring of an asset system includes using a plurality of auto-associative neural networks to determine estimates of actual values sensed by at least one sensor in at least one of the plurality of operating regimes; determining a residual between the estimated sensed values and the actual values sensed by the at least one sensor from each of the plurality of auto-associative neural networks; and combining the residuals by using a fuzzy supervisory model blender; performing a fault diagnostic on the combined residuals; and determining a change of the operation of the asset system by analysis of the combined residuals. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.

    摘要翻译: 一种用于资产系统的高级状态监测的方法包括使用多个自动关联神经网络来确定至少一个传感器在所述多个操作方案中的至少一个中感测到的实际值的估计; 从所述多个自相关神经网络中的每一个确定估计的感测值与由所述至少一个传感器感测的实际值之间的残差; 并通过使用模糊监督模型混合器组合残差; 对组合残差进行故障诊断; 以及通过分析组合残差来确定资产系统的操作变化。 必要时提供警报。 智能传感器系统包括用于执行本发明的方法的车载处理单元。

    Generation and Dissemination of Automatically Pre-Populated Clinical Notes
    18.
    发明申请
    Generation and Dissemination of Automatically Pre-Populated Clinical Notes 有权
    自动人口普查临床注释的生成和传播

    公开(公告)号:US20090182580A1

    公开(公告)日:2009-07-16

    申请号:US12247987

    申请日:2008-10-08

    摘要: Some embodiments provide a system and method for automatedly aggregating medically related data and disseminating different sets of the aggregated data to two or more different members of a medical care provider. Some embodiments automatedly and intelligently disseminate the aggregated data such that the data that is written once to the data storage solution is usable for a multitude of purposes within the functions of the medical care provider. Some embodiments intelligently disseminate the aggregated data by disseminating only relevant sub-components of the data to different members of the medical care provider based on the needs of the members such that different members receive different subsets of the data.

    摘要翻译: 一些实施例提供了一种系统和方法,用于自动地聚合医学相关数据并将不同组的聚合数据传播到医疗保健提供者的两个或多个不同成员。 一些实施例自动且智能地传播聚合数据,使得一次写入数据存储解决方案的数据可用于医疗保健提供者的功能中的多种目的。 一些实施例通过仅基于成员的需要向医疗保健提供者的不同成员传播数据的相关子组件来智能地传播聚合的数据,使得不同的成员接收不同的数据子集。

    Multi Automated Severity Scoring
    20.
    发明申请
    Multi Automated Severity Scoring 审中-公开
    多自动严重性评分

    公开(公告)号:US20090093686A1

    公开(公告)日:2009-04-09

    申请号:US12036265

    申请日:2008-02-24

    IPC分类号: A61B5/00

    CPC分类号: G16H50/20 G16H10/60 G16H50/30

    摘要: Some embodiments of the invention provide an automated method for continuously monitoring at least one patient. The method continuously collects medical data about the patient from several different inputs. The method integrates the collected data, and continuously computes at least one severity score for the patient based on the integrated data. The method uses the severity scores to continuously monitor the patient. In some embodiments, integrating the data includes formatting the data so that that the data can be used to compute the severity score. Formatting the data in some embodiments includes using a set of database tables to convert the data. In some embodiments, the database tables are modifiable by a user. Some embodiments continuously compute multiple severity scores. The severity scores computed in some embodiments include the APACHE II score, the SAPS II score, the MEWS score, or user-defined severity scores.

    摘要翻译: 本发明的一些实施例提供了用于连续监测至少一个患者的自动化方法。 该方法从几个不同的输入连续地收集关于患者的医学数据。 该方法集成了收集的数据,并且基于综合数据连续计算患者的至少一个严重程度得分。 该方法使用严重程度分数来持续监测患者。 在一些实施例中,集成数据包括格式化数据,使得可以使用该数据来计算严重性评分。 在一些实施例中格式化数据包括使用一组数据库表来转换数据。 在一些实施例中,数据库表可由用户修改。 一些实施例连续地计算多个严重性得分。 在一些实施方案中计算的严重性评分包括APACHE II评分,SAPS II评分,MEWS评分或用户定义的严重性评分。