Technique for programmatically obtaining experimental measurements for model construction
    2.
    发明授权
    Technique for programmatically obtaining experimental measurements for model construction 失效
    以编程方式获得模型构建实验测量的技术

    公开(公告)号:US07505886B1

    公开(公告)日:2009-03-17

    申请号:US10234889

    申请日:2002-09-03

    CPC classification number: G05B17/02

    Abstract: A technique for programmatically obtaining experimental measurements for model construction. A user provides criteria for the model, such as computational algorithms which characterize behavior of the real system, specifications of experiments to be performed on the real system for collecting experimental data from the real system, an identification of sought parameters which are to be derived from results of the experiments and desired tolerance constraints on the sought parameters. From experimental data collected from the real system and from the provided criteria, the inventive method and apparatus programmatically determines in an iterative loop which additional experiments are to be performed in order to achieve the desired tolerance constraints. After one or more iterations of the loop, the values for the sought parameters are determined within the desired tolerance constraints.

    Abstract translation: 一种以编程方式获得模型构建实验测量的技术。 用户提供模型的标准,例如表征实际系统的行为的计算算法,在实际系统上执行的用于从实际系统收集实验数据的实验的规范,要从 实验结果和所寻求的参数所需的公差约束。 从实际系统收集的实验数据和所提供的标准中,本发明的方法和装置以迭代循环的方式编程地确定要执行哪些额外的实验以实现期望的公差约束。 在循环的一次或多次迭代之后,在期望的公差约束内确定所寻求参数的值。

    Method and apparatus for predicting multi-part performability
    3.
    发明授权
    Method and apparatus for predicting multi-part performability 失效
    用于预测多部分可执行性的方法和装置

    公开(公告)号:US06934673B2

    公开(公告)日:2005-08-23

    申请号:US09865999

    申请日:2001-05-25

    CPC classification number: G06F11/008 G06F11/3452

    Abstract: A method of and apparatus for determining whether a multi-component target system meets a given multi-part performability requirement is provided. A description of the target system, failure probabilities for components of the target system and a multi-part performability requirement for the target system are obtained. The multi-part performability requirement indicates desired performance levels and corresponding fractions of time. One or more failure-scenarios are successively computed that represent one or more states of the target system having zero or more components failed and a corresponding probability of occurrence of the one or more of the states of the target system. Performance of the target system is modeled under the failure scenarios using a performance predictor module for generating a multi-part performability function. The multi-part performability function is compared with said multi-part performability requirement to determine whether the target system meets the multi-part performability requirement.

    Abstract translation: 提供了一种用于确定多分量目标系统是否满足给定的多部分可执行性要求的方法和装置。 获得目标系统的描述,目标系统组件的故障概率和目标系统的多部分可执行性要求。 多部分可执行性要求表示期望的性能水平和相应的时间分数。 连续计算一个或多个故障场景,其表示具有零个或更多个组件失败的目标系统的一个或多个状态以及目标系统的一个或多个状态的对应发生概率。 目标系统的性能在故障场景下使用用于生成多部分可执行性功能的性能预测器模块进行建模。 将多部分可执行性功能与所述多部分可执行性要求进行比较,以确定目标系统是否满足多部分可执行性要求。

    Yardage Book Holder
    6.
    发明申请

    公开(公告)号:US20230052752A1

    公开(公告)日:2023-02-16

    申请号:US17402241

    申请日:2021-08-13

    Abstract: An exemplary embodiment of the present invention provides an improved yardage book holder for storing a yardage book as well as a variety of other golf accessories. The yardage book holder comprises a substantially slender thickness and a rectangular profile with rounded corners that allows a golfer to conveniently store the yardage book holder within a pocket in an article of clothing when folded in its fully closed position. The yardage book holder further comprises at least two layers of materials, a plurality of sections, a plurality of compartments, and a strap affixed to one of the sides of the yardage book holder. The strap allows for quick access to the item which it secures and is able to pivot such that it may quickly attach to or detach from the interior or exterior surfaces of the yardage book.

    Approach based on self-evolving models for performance guarantees in a shared storage system
    7.
    发明申请
    Approach based on self-evolving models for performance guarantees in a shared storage system 失效
    在共享存储系统中基于自演进模型进行性能保证的方法

    公开(公告)号:US20070112723A1

    公开(公告)日:2007-05-17

    申请号:US11280012

    申请日:2005-11-16

    CPC classification number: G06F9/50 G06F9/5083 Y10S707/99932

    Abstract: A technique of allocating shared resources in a computer network-based storage system comprises taking periodic performance samples on a running storage system; evaluating an objective function that takes as input the performance samples to quantify how aligned a current state of the storage system is with organizational objectives; building and maintaining models of behavior and capabilities of the storage system by using the performance samples as input; determining how resources of the storage system should be allocated among client computers in the storage system by selecting one among many possible allocations based on predictions generated by the models in order to maximize a value of the objective function; calculating a confidence statistic value for a chosen resource allocation based on an accuracy of the models; and enforcing the chosen resource allocation on the running storage system when the confidence statistic value is at or above a predetermined threshold value.

    Abstract translation: 在基于计算机网络的存储系统中分配共享资源的技术包括在正在运行的存储系统上采取周期性的性能样本; 评估一个目标函数,作为输入性能样本,以量化存储系统的当前状态与组织目标的一致性; 通过使用性能样本作为输入,建立和维护存储系统的行为和功能模型; 通过基于由模型生成的预测来选择许多可能的分配中的一个,以便最大化目标函数的值来确定应该在存储系统中的客户端计算机之间分配存储系统的资源; 基于模型的精度计算所选资源分配的置信度统计值; 以及当所述置信度统计值处于或高于预定阈值时,在所述运行存储系统上执行所选择的资源分配。

    Data storage system emulation
    8.
    发明授权
    Data storage system emulation 有权
    数据存储系统仿真

    公开(公告)号:US07643983B2

    公开(公告)日:2010-01-05

    申请号:US10400232

    申请日:2003-03-27

    CPC classification number: G06F13/105

    Abstract: A technique for emulation of a data storage system. The invention allows the level of services to be provided by a data storage system to be specified in terms of the level of services provided by another storage system. In one aspect, a performance characterization of a data storage device to be emulated is obtained (e.g., by experimental techniques). A specification of a workload is also obtained that includes a specification of a plurality of data stores for the workload. The data stores are assigned to an emulation data storage device according to the performance characterization and according to the specification of the workload such that sufficient resources of the emulation data storage device are allocated to the workload to meet the performance characterization of the data storage device to be emulated. The emulation data storage device is then operated under the workload. Quality-of-service (QoS) control may be performed so as to provide a degree of performance isolation among the workloads.

    Abstract translation: 用于仿真数据存储系统的技术。 本发明允许由数据存储系统提供的服务级别根据由另一个存储系统提供的服务级别来指定。 在一个方面,获得待仿真的数据存储设备的性能表征(例如,通过实验技术)。 还获得了包括用于工作负载的多个数据存储的规范的工作负载的规范。 根据性能表征和根据工作负载的规格将数据存储设备分配给仿真数据存储设备,使得将仿真数据存储设备的足够资源分配给工作负载以满足数据存储设备的性能表征 被仿效。 仿真数据存储设备然后在工作负载下运行。 可以执行服务质量(QoS)控制,以便在工作负载之间提供一定程度的性能隔离。

    Method and apparatus for morphological modeling of complex systems to predict performance

    公开(公告)号:US07050956B2

    公开(公告)日:2006-05-23

    申请号:US09843930

    申请日:2001-04-30

    CPC classification number: G06F11/3447 G06F11/3414 G06F2201/885

    Abstract: A method predicts performance of a system that includes a plurality of interconnected components defining at least one data flow path. The method references a workload specification for the system. The method models the system using one or more component models. Each component model represents selected one or more of the components. Each component model is arranged in like relationship to the data flow path as the selected one or more of the components represented by the component model. Each component model is (a) a constraint upon the workload specification input to that component model or (b) a transformer of the workload specification input to that component model so as to result in one or more output workload specifications that are input workload specifications to subsequent component models along the data flow path or (c) both a constraint and a transformer. At least one of the component models is a constraint. At least some of the component models along the data flow path operate on the workload specification. In one preferred form, operating on the workload specification involves arranging the component models in a hierarchy corresponding to the data flow path; using the specified workload specification as input to the topmost component model in the hierarchy; and applying one or more of the component models to its input workload specification, starting with the topmost component model and then component models at progressively lower levels in the hierarchy. Output workload specification at one level is input workload specification at the next lower level. If the component model comprises a constraint, the method evaluates whether the input workload specification satisfies or violates the constraint. If the component model comprises a workload specification transform, the method modifies the input workload specification so as to produce one or more output workload specifications.

    Method for allowing robots or technologies to simulate and recognize character and type of relationship based on actions and carry out conflict and reconciliation processes

    公开(公告)号:US20250077830A1

    公开(公告)日:2025-03-06

    申请号:US18812984

    申请日:2024-08-22

    Abstract: This application relates to the fields of Artificial Intelligence, Affective Computing and Computer Sciences among others, and discloses a method for equipping a robot or other technological device with the ability to recognize character and type of relationship, simulate character and emotions, and trigger and carry out conflict and reconciliation processes with other actors, such as humans or other robots. The method includes: a novel model for personality and relationship characterization based on dimensions, here called Pat Palprolov; a novel model that allows for the characterization and recognition of personality and type of relationship on the basis of actions, here called the loom and fabric of actions; a novel model for robot behavior including an objective function, a system of dimensional values, weights and thresholds, and a pyramid of needs; and a model for stress and its effect on the intensity of the triggers.

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