System and method for knowledge pattern search from networked agents
    1.
    发明授权
    System and method for knowledge pattern search from networked agents 有权
    网络代理商知识模式搜索的系统和方法

    公开(公告)号:US08903756B2

    公开(公告)日:2014-12-02

    申请号:US13283442

    申请日:2011-10-27

    IPC分类号: G06F17/00 G06N5/04

    CPC分类号: G06N5/043

    摘要: One or more systems and methods for knowledge pattern search from networked agents are disclosed in various embodiments of the invention. A system and a related method can utilizes a knowledge pattern discovery process, which involves analyzing historical data, contextualizing, conceptualizing, clustering, and modeling of data to pattern and discover information of interest. This process may involve constructing a pattern-identifying model using a computer system by applying a context-concept-cluster (CCC) data analysis method, and visualizing that information using a computer system interface. In one embodiment of the invention, once the pattern-identifying model is constructed, the real-time data can be gathered using multiple learning agent devices, and then analyzed by the pattern-identifying model to identify various patterns for gains analysis and derivation of an anomalousness score. This system can be useful for knowledge discovery applications in various industries, including business, competitive intelligence, and academic research.

    摘要翻译: 在本发明的各种实施例中公开了一种或多种用于来自联网代理的知识模式搜索的系统和方法。 系统和相关方法可以利用知识模式发现过程,其涉及分析历史数据,语境化,概念化,聚类和数据建模以模拟和发现感兴趣的信息。 该过程可以涉及使用计算机系统通过应用上下文概念集群(CCC)数据分析方法来构建模式识别模型,并且使用计算机系统接口来可视化该信息。 在本发明的一个实施例中,一旦构建了模式识别模型,就可以使用多个学习代理设备来收集实时数据,然后通过模式识别模型进行分析,以识别用于增益分析和导出的各种模式 异常评分 该系统可用于各行业的知识发现应用,包括业务,竞争情报和学术研究。

    Method and system for knowledge pattern search and analysis for selecting microorganisms based on desired metabolic property or biological behavior

    公开(公告)号:US09792404B2

    公开(公告)日:2017-10-17

    申请号:US14093520

    申请日:2013-12-02

    CPC分类号: G06F19/24 G06F19/12 G06F19/18

    摘要: Methods and systems for knowledge pattern search and analysis for selecting microorganisms based on desired metabolic properties or biological behaviors are disclosed in various embodiments of the invention. In one embodiment of the invention, a computer-implemented method for selecting a purpose-specific microorganism first compiles microorganisms' profiles by linking each microorganism's methanogenic, hydrogenic, electrogenic, another metabolic property, and/or another biological behavior to genetic and chemical fingerprints of metabolic and energy-generating biological pathways. Then, based on the compiled profiles of the microorganisms, the computer-implemented method groups the microorganisms into pathway characteristics using machine-learning and pattern recognition performed on a computer system, and subsequently generates a prediction called “discovered characteristics” for a desired metabolic property or a desired biological behavior of at least one microorganism. Furthermore, a profile match score may be calculated to indicate usefulness of one or more microorganisms for renewable energy generation from biological waste materials or wastewater.

    Method and system for knowledge pattern search and analysis for selecting microorganisms based on desired metabolic property or biological behavior
    3.
    发明授权
    Method and system for knowledge pattern search and analysis for selecting microorganisms based on desired metabolic property or biological behavior 有权
    用于基于期望的代谢性质或生物学行为选择微生物的知识模式搜索和分析的方法和系统

    公开(公告)号:US09026373B2

    公开(公告)日:2015-05-05

    申请号:US13371469

    申请日:2012-02-12

    IPC分类号: G06F19/00 G06F19/24 G06F19/18

    CPC分类号: G06F19/24 G06F19/18

    摘要: Methods and systems for knowledge pattern search and analysis for selecting microorganisms based on desired metabolic properties or biological behaviors are disclosed in various embodiments of the invention. In one embodiment of the invention, a computer-implemented method for selecting a purpose-specific microorganism first compiles microorganisms' profiles by linking each microorganism's methanogenic, hydrogenic, electrogenic, another metabolic property, and/or another biological behavior to genetic and chemical fingerprints of metabolic and energy-generating biological pathways. Then, based on the compiled profiles of the microorganisms, the computer-implemented method groups the microorganisms into pathway characteristics using machine-learning and pattern recognition performed on a computer system, and subsequently generates a prediction called “discovered characteristics” for a desired metabolic property or a desired biological behavior of at least one microorganism. Furthermore, a profile match score may be calculated to indicate usefulness of one or more microorganisms for renewable energy generation from biological waste materials or wastewater.

    摘要翻译: 在本发明的各种实施例中公开了用于基于期望的代谢性质或生物学行为选择微生物的知识模式搜索和分析的方法和系统。 在本发明的一个实施方案中,用于选择目的特异性微生物的计算机实现的方法首先通过将每个微生物的产甲烷,氢,电,另一代谢性质和/或其他生物学行为与遗传和化学指纹 代谢和能量生成途径。 然后,基于微生物的编制概况,计算机实现的方法使用在计算机系统上执行的机器学习和模式识别将微生物组合成路径特征,并且随后产生称为“发现特征”的预期以获得期望的代谢性质 或至少一种微生物的所需生物学行为。 此外,可以计算轮廓匹配分数,以指示生物废物或废水中一种或多种微生物用于可再生能源产生的有用性。

    Multiple domain anomaly detection system and method using fusion rule and visualization
    4.
    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。

    System and Method for Knowledge Pattern Search from Networked Agents
    5.
    发明申请
    System and Method for Knowledge Pattern Search from Networked Agents 有权
    网络代理知识模式搜索的系统和方法

    公开(公告)号:US20120041901A1

    公开(公告)日:2012-02-16

    申请号:US13283442

    申请日:2011-10-27

    IPC分类号: G06F15/18

    CPC分类号: G06N5/043

    摘要: One or more systems and methods for knowledge pattern search from networked agents are disclosed in various embodiments of the invention. A system and a related method can utilizes a knowledge pattern discovery process, which involves analyzing historical data, contextualizing, conceptualizing, clustering, and modeling of data to pattern and discover information of interest. This process may involve constructing a pattern-identifying model using a computer system by applying a context-concept-cluster (CCC) data analysis method, and visualizing that information using a computer system interface. In one embodiment of the invention, once the pattern-identifying model is constructed, the real-time data can be gathered using multiple learning agent devices, and then analyzed by the pattern-identifying model to identify various patterns for gains analysis and derivation of an anomalousness score. This system can be useful for knowledge discovery applications in various industries, including business, competitive intelligence, and academic research.

    摘要翻译: 在本发明的各种实施例中公开了一种或多种用于来自联网代理的知识模式搜索的系统和方法。 系统和相关方法可以利用知识模式发现过程,其涉及分析历史数据,语境化,概念化,聚类和数据建模以模拟和发现感兴趣的信息。 该过程可以涉及使用计算机系统通过应用上下文概念集群(CCC)数据分析方法来构建模式识别模型,并且使用计算机系统接口来可视化该信息。 在本发明的一个实施例中,一旦构建了模式识别模型,就可以使用多个学习代理设备来收集实时数据,然后通过模式识别模型进行分析,以识别用于增益分析和导出的各种模式 异常评分 该系统可用于各行业的知识发现应用,包括业务,竞争情报和学术研究。

    Silicone storage bag container
    6.
    外观设计

    公开(公告)号:USD994501S1

    公开(公告)日:2023-08-08

    申请号:US29838913

    申请日:2022-05-17

    申请人: Ying Zhao

    设计人: Ying Zhao

    摘要: FIG. 1 is a first perspective view of a silicone storage bag container showing my new design;
    FIG. 2 is a second perspective view thereof;
    FIG. 3 is a front view thereof;
    FIG. 4 is a back view thereof;
    FIG. 5 is a right side view thereof;
    FIG. 6 is a left side view thereof;
    FIG. 7 is a top view thereof; and,
    FIG. 8 is a bottom view thereof.

    Mobile phone
    9.
    外观设计

    公开(公告)号:USD617758S1

    公开(公告)日:2010-06-15

    申请号:US29342351

    申请日:2009-08-24

    申请人: Ying Zhao

    设计人: Ying Zhao

    Energy absorbent material
    10.
    发明申请
    Energy absorbent material 失效
    能量吸收材料

    公开(公告)号:US20080020229A1

    公开(公告)日:2008-01-24

    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: B22F3/11 B32B5/18

    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。