Energy absorbent material
    22.
    发明授权
    Energy absorbent material 失效
    能量吸收材料

    公开(公告)号:US07648589B2

    公开(公告)日:2010-01-19

    申请号:US11222023

    申请日:2005-09-08

    申请人: Minoru Taya Ying Zhao

    发明人: Minoru Taya Ying Zhao

    IPC分类号: C22F1/00

    摘要: A method for making a ductile and porous shape memory alloy (SMA) using spark plasma sintering, and an energy absorbing structure including a ductile and porous SMA are disclosed. In an exemplary structure, an SMA spring encompasses a generally cylindrical energy absorbing material. The function of the SMA spring is to resist the bulging of the cylinder under large compressive loading, thereby increasing a buckling load that the cylindrical energy absorbing material can accommodate. The SMA spring also contributes to the resistance of the energy absorbing structure to an initial compressive loading. Preferably, the cylinder is formed of ductile, porous and super elastic SMA. A working prototype includes a NiTi spring, and a porous NiTi cylinder or rod.

    摘要翻译: 公开了一种使用火花等离子体烧结制造延性和多孔形状记忆合金(SMA)的方法,以及包括延性和多孔SMA的能量吸收结构。 在示例性结构中,SMA弹簧包围大致圆柱形的能量吸收材料。 SMA弹簧的功能是在大的压缩载荷下抵抗气缸的膨胀,从而增加圆柱形能量吸收材料可以容纳的屈曲载荷。 SMA弹簧还有助于能量吸收结构抵抗初始压缩载荷。 优选地,气缸由延性,多孔和超弹性SMA形成。 工作原型包括NiTi弹簧和多孔NiTi圆筒或棒。

    FUSION AND VISUALIZATION FOR MULTIPLE ANOMALY DETECTION SYSTEMS
    23.
    发明申请
    FUSION AND VISUALIZATION FOR MULTIPLE ANOMALY DETECTION SYSTEMS 审中-公开
    多种异常检测系统的融合和可视化

    公开(公告)号:US20080215576A1

    公开(公告)日:2008-09-04

    申请号:US12042338

    申请日:2008-03-05

    IPC分类号: G06F17/30

    CPC分类号: G06F16/337

    摘要: The present invention is a method for detecting anomalies against normal profiles and for fusing and visualizing the results from multiple anomaly detection systems in a quantifying and unifying user interface. The knowledge patterns discovered from historical data serve as the normal profiles, or baselines or references (hereinafter, called “normal profiles”). The method assesses a piece of information against a collection of the normal profiles and decides how anomalous it is. The normal profiles are calculated from historical data sources, and stored in a collection of mining models. Multiple anomaly detection systems generate a collection of mining models using multiple data sources. When a piece of information is newly observed, the method measures the degree of correlation between the observed information and the normal profiles. The analysis is expressed and visualized through anomaly scores and critical event notifications that are triggered by fusion rules, thus allowing a user to see multiple levels of complexity and detail in a single view.

    摘要翻译: 本发明是一种用于在量化和统一的用户界面中检测来自多个异常检测系统的正常分布的异常并且对来自多个异常检测系统的结果进行融合和可视化的方法。 从历史数据中发现的知识模式作为正常概况或基准或参考(以下称为“正常概况”)。 该方法根据正常轮廓的集合来评估一条信息,并确定它是多么异常。 正常轮廓是从历史数据源计算的,并存储在采集模型的集合中。 多个异常检测系统使用多个数据源生成挖掘模型的集合。 当新观察到一条信息时,该方法测量观测信息与正常分布之间的相关程度。 通过由融合规则触发的异常评分和关键事件通知来表达和可视化分析,从而允许用户在单个视图中看到多层次的复杂性和细节。

    Method and apparatus for expressing motion object
    25.
    发明授权
    Method and apparatus for expressing motion object 有权
    用于表达运动物体的方法和装置

    公开(公告)号:US09589365B2

    公开(公告)日:2017-03-07

    申请号:US14629650

    申请日:2015-02-24

    申请人: Ying Zhao

    发明人: Ying Zhao

    IPC分类号: G06K9/00 G06T7/20 G06K9/46

    摘要: A method and an apparatus for expressing a motion object are disclosed. The method includes obtaining a stereo image in which the motion object has been captured, the stereo image including a depth image; extracting a key point from the motion object in the stereo image; determining, based on statistical information relating to three-dimensional motion of pixels within a first predetermined region surrounding the key point, a dominant direction of the key point; determining, based on the dominant direction of the key point, motion vectors of pixels within a second predetermined region surrounding the key point to obtain rotation invariant motion vectors; and extracting, based on the determined motion vectors of the pixels within the second predetermined region surrounding the key point, a feature describing the key point. The present invention can extract features of motion object that are irrelevant to a viewing angle of a camera.

    摘要翻译: 公开了一种用于表达运动对象的方法和装置。 该方法包括获取其中已经捕获了运动对象的立体图像,立体图像包括深度图像; 从立体图像中的运动对象提取关键点; 基于关于所述关键点周围的第一预定区域内的像素的三维运动的统计信息,确定所述关键点的主导方向; 基于关键点的主要方向,确定围绕所述关键点的第二预定区域内的像素的运动矢量以获得旋转不变运动矢量; 以及基于所确定的围绕所述关键点的所述第二预定区域内的像素的运动矢量来提取描述所述关键点的特征。 本发明可以提取与摄像机的视角无关的运动对象的特征。

    Moving object detection method and system
    26.
    发明授权
    Moving object detection method and system 有权
    移动物体检测方法和系统

    公开(公告)号:US09552514B2

    公开(公告)日:2017-01-24

    申请号:US14461558

    申请日:2014-08-18

    摘要: A moving object detection method includes acquiring two depth image frames including depth information, which are obtained by continuously taking images of a moving object, the two depth image frames including a present depth image frame and at least one past depth image frame; dividing each of the two depth image frames into a plurality of blocks; calculating differences between numbers of pixels positioned in respective different depth areas in each of the plurality of blocks in the present depth image frame, and numbers of pixels positioned in respective different depth areas in each of the corresponding plurality of blocks in each of the at least one past depth image frame, which correspond to the plurality of blocks in the present depth image frame; and detecting a moving block in the present depth image frame based on the calculated difference and constituting the detected moving object.

    摘要翻译: 移动物体检测方法包括获取包括深度信息的两个深度图像帧,所述深度信息通过连续拍摄移动物体的图像,所述两个深度图像帧包括当前深度图像帧和至少一个过去深度图像帧; 将两个深度图像帧中的每一个划分为多个块; 计算位于本深度图像帧中的多个块中的每一个中的相应不同深度区域中的像素的数量之间的差异,以及位于每个至少在每个的相应多个块中的相应不同深度区域中的像素的数量 一个过去的深度图像帧,其对应于当前深度图像帧中的多个块; 并且基于所计算的差异检测当前深度图像帧中的移动块,并构成检测到的移动对象。

    Depth value restoration method and system
    27.
    发明授权
    Depth value restoration method and system 有权
    深度值恢复方法和系统

    公开(公告)号:US09483835B2

    公开(公告)日:2016-11-01

    申请号:US14697804

    申请日:2015-04-28

    摘要: Disclosed is a method comprising steps of conducting image preprocessing so as to respectively obtain a candidate object region including a foreground image in a depth map and a color image; determining whether it is necessary to conduct a region growing process with respect to the candidate object region of the depth map; in the former case, conducting the region growing process with respect to the candidate object region of the depth map; and conducting, after the region growing process is conducted with respect to the candidate object region of the depth map, a depth value restoration process with respect to a candidate region.

    摘要翻译: 公开了一种方法,包括进行图像预处理以分别获得包括深度图和彩色图像中的前景图像的候选对象区域的步骤; 确定是否需要针对深度图的候选对象区域进行区域增长处理; 在前一种情况下,对深度图的候选对象区域进行区域增长处理; 并且在相对于深度图的候选对象区域进行区域生长处理之后进行相对于候选区域的深度值恢复处理。

    Multiple domain anomaly detection system and method using fusion rule and visualization
    28.
    发明授权
    Multiple domain anomaly detection system and method using fusion rule and visualization 有权
    多域异常检测系统和方法使用融合规则和可视化

    公开(公告)号:US09323837B2

    公开(公告)日:2016-04-26

    申请号:US13204713

    申请日:2011-08-07

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30702

    摘要: The present invention discloses various embodiments of multiple domain anomaly detection systems and methods. In one embodiment of the invention, a multiple domain anomaly detection system uses a generic learning procedure per domain to create a “normal data profile” for each domain based on observation of data per domain, wherein the normal data profile for each domain can be used to determine and compute domain-specific anomaly data per domain. Then, domain-specific anomaly data per domain can be analyzed together in a cross-domain fusion data analysis using one or more fusion rules. The fusion rules may involve comparison of domain-specific anomaly data from multiple domains to derive a multiple-domain anomaly score meter for a particular cross-domain analysis task. The multiple domain anomaly detection system and its related method may also utilize domain-specific anomaly indicators of each domain to derive a cross-domain anomaly indicator using the fusion rules.

    摘要翻译: 本发明公开了多域异常检测系统和方法的各种实施例。 在本发明的一个实施例中,多域异常检测系统使用每个域的通用学习过程,基于每个域的数据观察为每个域创建“正常数据简档”,其中可以使用每个域的正常数据简档 确定和计算每个域的特定于异常的数据。 然后,可以在使用一个或多个融合规则的跨域融合数据分析中一起分析每个域的域特异性异常数据。 融合规则可能涉及到来自多个域的域特异性异常数据的比较,以导出用于特定跨域分析任务的多域异常得分计。 多域异常检测系统及其相关方法还可以利用每个域的域特异性异常指标,使用融合规则导出跨域异常指标。

    Apparatuses and methods for managing liquid volume in a container
    29.
    发明授权
    Apparatuses and methods for managing liquid volume in a container 有权
    用于管理容器中的液体体积的装置和方法

    公开(公告)号:US09138091B2

    公开(公告)日:2015-09-22

    申请号:US13380913

    申请日:2010-07-06

    申请人: Ying Zhao Jun She

    发明人: Ying Zhao Jun She

    摘要: An apparatus and method for managing a liquid volume in a container includes a detector for detecting liquid volume changes in the container during a first preset period, a first determiner for determining whether the changes are lower than the first preset threshold value, and a presenter for presenting the first prompt information in case the changes are lower than the preset threshold value.

    摘要翻译: 用于管理容器中的液体体积的装置和方法包括:检测器,用于在第一预设时段期间检测容器中的液体体积变化,用于确定变化是否低于第一预设阈值的第一确定器;以及用于 在变化低于预设阈值的情况下呈现第一提示信息。

    Mobile phone
    30.
    外观设计

    公开(公告)号:USD682802S1

    公开(公告)日:2013-05-21

    申请号:US29422985

    申请日:2012-05-25

    申请人: Ying Zhao

    设计人: Ying Zhao