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    • 1. 发明申请
    • METHOD AND APPARATUS FOR PREDICTING OBJECT PROPERTIES AND EVENTS USING SIMILARITY-BASED INFORMATION RETRIEVAL AND MODELING
    • 使用基于相似性的信息检索和建模来预测对象属性和事件的方法和装置
    • US20100332210A1
    • 2010-12-30
    • US12823320
    • 2010-06-25
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. HornMark Rader
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. HornMark Rader
    • G06F9/45G06F17/30
    • G06Q30/0185G06F17/30321G06F17/30424G06F17/30442G06F17/30598G06F17/30657G06F17/3071G06K9/6224G06K9/6253G06Q50/265
    • Method and apparatus for predicting properties of a target object, in particular, one of an origin and a source, comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods. By way of example, a fire event and residual objects may be located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.
    • 用于预测目标对象,特别是源和源之一的属性的方法和装置包括:用于分析多个对象的多个数据库的参数的搜索管理器的应用,所述数据库包括电,电磁, 声谱数据库(ESD),微体组合数据库(MAD)和图像数据数据库,由此数据库存储包含识别特征的数据对象,源信息和关于站点属性和包括时间和频率变化数据的上下文的信息。 该方法包括应用多变量统计分析和主成分分析与基于内容的图像检索相结合,以提供三维对象的二维属性,例如,通过使用形状树的优先图像分割并预测对象的进一步属性 通过k-means聚类和相关方法。 作为示例,火灾事件和残余物体可以被定位和限定,使得例如残留物体的性质可以是合格的,例如通过黑体辐射和包括木炭组合的微体数据库。
    • 2. 发明授权
    • Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling
    • 使用基于相似性的信息检索和建模来预测对象属性和事件的方法和装置
    • US08375032B2
    • 2013-02-12
    • US12823320
    • 2010-06-25
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. HornMark S. Rader
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. HornMark S. Rader
    • G06F7/00G06F17/30
    • G06Q30/0185G06F17/30321G06F17/30424G06F17/30442G06F17/30598G06F17/30657G06F17/3071G06K9/6224G06K9/6253G06Q50/265
    • Method and apparatus for predicting properties of a target object, in particular, one of an origin and a source, comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods. By way of example, a fire event and residual objects may be located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.
    • 用于预测目标对象,特别是源和源之一的属性的方法和装置包括:用于分析多个对象的多个数据库的参数的搜索管理器的应用,所述数据库包括电,电磁, 声谱数据库(ESD),微体组合数据库(MAD)和图像数据数据库,由此数据库存储包含识别特征的数据对象,源信息和关于站点属性和包括时间和频率变化数据的上下文的信息。 该方法包括应用多变量统计分析和主成分分析与基于内容的图像检索相结合,以提供三维对象的二维属性,例如,通过使用形状树的优先图像分割并预测对象的进一步属性 通过k-means聚类和相关方法。 作为示例,火灾事件和残余物体可以被定位和限定,使得例如残留物体的性质可以是合格的,例如通过黑体辐射和包括木炭组合的微体数据库。
    • 4. 发明授权
    • Method and apparatus for predicting object properties and events using similarity-based information retrieval and model
    • 使用基于相似性的信息检索和模型预测对象属性和事件的方法和装置
    • US08392418B2
    • 2013-03-05
    • US12823284
    • 2010-06-25
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. Horn
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. Horn
    • G06F7/00G06F17/30
    • G06Q30/0185G06F17/30321G06F17/30424G06F17/30442G06F17/30598G06F17/30657G06F17/3071G06K9/6224G06K9/6253G06Q50/265
    • Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods. By way of example, one of a process failure event, an intrusion event and a fire event and residual objects may be predicted and located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.
    • 用于预测目标对象的属性的方法和装置包括应用用于分析多个对象的多个数据库的参数的搜索管理器,所述数据库包括电,电磁,声谱数据库(ESD),微体组合 数据库(MAD)和图像数据的数据库,由此数据库存储包含识别特征的数据对象,源信息和关于站点属性和包括时间和频率变化数据的上下文的信息。 该方法包括应用多变量统计分析和主成分分析与基于内容的图像检索相结合,以提供三维对象的二维属性,例如,通过使用形状树的优先图像分割并预测对象的进一步属性 通过k-means聚类和相关方法。 作为示例,可以预测和定位过程失败事件,入侵事件和火灾事件以及残余对象中的一个,使得例如残留对象的属性可以被限定,例如通过黑体 辐射和微体数据库,包括木炭组合。
    • 5. 发明申请
    • METHOD AND APPARATUS FOR PREDICTING OBJECT PROPERTIES AND EVENTS USING SIMILARITY-BASED INFORMATION RETRIEVAL AND MODEL
    • 使用基于相似性的信息检索和模型预测对象属性和事件的方法和装置
    • US20100332474A1
    • 2010-12-30
    • US12823284
    • 2010-06-25
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. Horn
    • J. Douglas BirdwellTse-Wei WangDavid J. IcoveSally P. Horn
    • G06F17/30
    • G06Q30/0185G06F17/30321G06F17/30424G06F17/30442G06F17/30598G06F17/30657G06F17/3071G06K9/6224G06K9/6253G06Q50/265
    • Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods. By way of example, one of a process failure event, an intrusion event and a fire event and residual objects may be predicted and located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.
    • 用于预测目标对象的属性的方法和装置包括应用用于分析多个对象的多个数据库的参数的搜索管理器,所述数据库包括电,电磁,声谱数据库(ESD),微体组合 数据库(MAD)和图像数据的数据库,由此数据库存储包含识别特征的数据对象,源信息和关于站点属性和包括时间和频率变化数据的上下文的信息。 该方法包括应用多变量统计分析和主成分分析与基于内容的图像检索相结合,以提供三维对象的二维属性,例如,通过使用形状树的优先图像分割并预测对象的进一步属性 通过k-means聚类和相关方法。 作为示例,可以预测和定位过程失败事件,入侵事件和火灾事件以及残余对象中的一个,使得例如残留对象的属性可以被限定,例如通过黑体 辐射和微体数据库,包括木炭组合。