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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. 发明申请
    • Method of Organizing and Presenting Data in a Table
    • 组织和呈现数据在表中的方法
    • US20100114809A1
    • 2010-05-06
    • US12618205
    • 2009-11-13
    • John Douglas BirdwellTse-Wei WangDale V. StansberryJared Pendleton
    • John Douglas BirdwellTse-Wei WangDale V. StansberryJared Pendleton
    • G06N5/02G06F17/00
    • G06F17/246
    • Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source. In response to the first input from the second source, the rule base is either re-applied to make at least one third decision, wherein the third decision is different from the second decision, or either the first or second decisions are accepted.
    • 提供数据分析方法。 专家系统从至少第一源接收输入。 数据由专家系统导入和分析,其中专家系统作出至少一个第一决定,其基于规则库来表征数据。 所述至少一个第一决定是可由第一来源的第一输入显示和修改的。 响应于来自第一源的第一输入,规则库可以被重新应用以做出至少一个第二决定,其中所述至少一个第二决定不同于所述至少一个第一决定,或者所述至少一个第一决定 决定可能被接受。 响应于来自第二源的第一输入,至少一个第一决定或至少一个第二决定然后可显示和修改。 响应于来自第二来源的第一输入,规则库被重新应用以做出至少一个第三决定,其中第三决定不同于第二决定,或者接受第一或第二决定。
    • 3. 发明授权
    • Interaction method with an expert system that utilizes stutter peak rule
    • 与专家系统的交互方法,利用了口吃峰值规则
    • US07664719B2
    • 2010-02-16
    • US11560601
    • 2006-11-16
    • John Douglas BirdwellTse-Wei WangDale V. StansberryJared Pendleton
    • John Douglas BirdwellTse-Wei WangDale V. StansberryJared Pendleton
    • G06N5/00
    • G06N5/04
    • Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source. In response to the first input from the second source, the rule base is either re-applied to make at least one third decision, wherein the third decision is different from the second decision, or either the first or second decisions are accepted.
    • 提供数据分析方法。 专家系统从至少第一源接收输入。 数据由专家系统导入和分析,其中专家系统作出至少一个第一决定,其基于规则库来表征数据。 所述至少一个第一决定是可由第一来源的第一输入显示和修改的。 响应于来自第一源的第一输入,规则库可以被重新应用以做出至少一个第二决定,其中所述至少一个第二决定不同于所述至少一个第一决定,或者所述至少一个第一决定 决定可能被接受。 响应于来自第二源的第一输入,至少一个第一决定或至少一个第二决定然后可显示和修改。 响应于来自第二来源的第一输入,规则库被重新应用以做出至少一个第三决定,其中第三决定不同于第二决定,或者接受第一或第二决定。
    • 4. 发明申请
    • Parallel Data Processing System
    • 并行数据处理系统
    • US20090055361A1
    • 2009-02-26
    • US12199010
    • 2008-08-27
    • John D. BirdwellTse-Wei WangRoger D. HornPuneet YadavDavid J. Icove
    • John D. BirdwellTse-Wei WangRoger D. HornPuneet YadavDavid J. Icove
    • G06F17/30
    • G06F17/30327G06F17/30333G06F17/30598G06F19/24G06F19/28Y10S707/99932Y10S707/99933Y10S707/99935Y10S707/99942Y10S707/99945
    • A tree-structured index to multidimensional data is created using naturally occurring patterns and clusters within the data which permit efficient search and retrieval strategies in a database of DNA profiles. A search engine utilizes hierarchical decomposition of the database by identifying clusters of similar DNA profiles and maps to parallel computer architecture, allowing scale up past previously feasible limits. Key benefits of the new method are logarithmic scale up and parallelization. These benefits are achieved by identification and utilization of naturally occurring patterns and clusters within stored data. The patterns and clusters enable the stored data to be partitioned into subsets of roughly equal size. The method can be applied recursively, resulting in a database tree that is balanced, meaning that all paths or branches through the tree have roughly the same length. The method achieves high performance by exploiting the natural structure of the data in a manner that maintains balanced trees. Implementation of the method maps naturally to parallel computer architectures, allowing scale up to very large databases.
    • 使用数据中的自然发生的模式和集群创建树形结构的多维数据索引,这些数据允许DNA简档数据库中的高效搜索和检索策略。 搜索引擎利用数据库的分层分解,通过识别类似DNA分布的集群并将其映射到并行计算机体系结构,从而超越以前可行的限制。 新方法的主要优点是对数放大和并行化。 这些优点通过识别和利用存储数据中的自然发生的模式和集群来实现。 模式和集群使存储的数据能够被划分成大致相等大小的子集。 该方法可以递归地应用,导致数据库树是平衡的,意味着通过树的所有路径或分支具有大致相同的长度。 该方法通过以保持平衡树的方式利用数据的自然结构来实现高性能。 该方法的实现自然映射到并行计算机体系结构,允许扩展到非常大的数据库。
    • 5. 发明申请
    • Method of Interaction With an Automated System
    • 与自动化系统相互作用的方法
    • US20080288428A1
    • 2008-11-20
    • US11560601
    • 2006-11-16
    • John Douglas BirdwellTse-Wei WangDale V. StansberryJared Pendleton
    • John Douglas BirdwellTse-Wei WangDale V. StansberryJared Pendleton
    • G06N5/02
    • G06N5/04
    • Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source. In response to the first input from the second source, the rule base is either re-applied to make at least one third decision, wherein the third decision is different from the second decision, or either the first or second decisions are accepted.
    • 提供数据分析方法。 专家系统从至少第一源接收输入。 数据由专家系统导入和分析,其中专家系统作出至少一个第一决定,其基于规则库来表征数据。 所述至少一个第一决定是可由第一来源的第一输入显示和修改的。 响应于来自第一源的第一输入,规则库可以被重新应用以做出至少一个第二决定,其中所述至少一个第二决定不同于所述至少一个第一决定,或者所述至少一个第一决定 决定可能被接受。 响应于来自第二源的第一输入,至少一个第一决定或至少一个第二决定然后可显示和修改。 响应于来自第二来源的第一输入,规则库被重新应用以做出至少一个第三决定,其中第三决定不同于第二决定,或者接受第一或第二决定。
    • 6. 发明授权
    • Methods of associating an unknown biological specimen with a family
    • 将未知生物标本与家族联系起来的方法
    • US08412463B2
    • 2013-04-02
    • US13209278
    • 2011-08-12
    • John Douglas BirdwellTse-Wei WangDale V. StansberryRanajit Chakraborty
    • John Douglas BirdwellTse-Wei WangDale V. StansberryRanajit Chakraborty
    • G01N33/50
    • G06F19/18
    • The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members. This method also embodies using a modified Elston Stewart algorithm to determine a pedigree likelihood ratio to rank and identify the test profile of the unknown biological specimen most likely to be the missing person sought after by the corresponding family represented by the family pedigree. A third method encompasses construction of a database or directed graph of discovered or known relationships between biological specimens and comparison to a graph representing a family pedigree to identify portions of the database or directed graph that correspond to portions of the family pedigree, in order to rank or identify one or more unknown biological specimens as most likely related to one or more family pedigrees.
    • 本发明提供了至少三种预测未知生物样品是否源自特定家族成员的方法。 这些方法将来自未知生物标本的DNA谱与多于一个家族成员的DNA谱进行了比较,从而显着提高了方法识别能力。 特别地,本发明描述了将至少排列的第一家族成员列表和排名第二家庭成员列表组合以创建组合排名列表,并且将未知生物标本识别为包含表示候选者的具有最高组合排名的标本列表之一 这很可能与家庭有关。 第二种方法包括比较来自未知生物标本的测试DNA谱与家族谱系,其包括从家族成员的多个生物标本获得的靶DNA谱。 该方法还体现了使用修改的埃尔斯顿斯图尔特算法来确定血统似然比以排列并鉴定最可能是由家族谱系所代表的相应家族所追求的失踪者的未知生物标本的测试轮廓。 第三种方法包括构建生物标本之间已发现或已知关系的数据库或有向图,并与代表家族血统图的图表进行比较,以便识别对应于家族血统部分的数据库或有向图的部分,以便排列 或识别一个或多个未知生物标本,其最可能与一个或多个家族谱系相关。
    • 7. 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。
    • 8. 发明申请
    • METHODS OF ASSOCIATING AN UNKNOWN BIOLOGICAL SPECIMEN WITH A FAMILY
    • 将未知生物样本与家族相关联的方法
    • US20110295518A1
    • 2011-12-01
    • US13209278
    • 2011-08-12
    • Ranajit ChakrabortyJohn Douglas BirdwellTse-Wei WangDale V. Stansberry
    • Ranajit ChakrabortyJohn Douglas BirdwellTse-Wei WangDale V. Stansberry
    • G06F19/00
    • G06F19/18
    • The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members. This method also embodies using a modified Elston Stewart algorithm to determine a pedigree likelihood ratio to rank and identify the test profile of the unknown biological specimen most likely to be the missing person sought after by the corresponding family represented by the family pedigree. A third method encompasses construction of a database or directed graph of discovered or known relationships between biological specimens and comparison to a graph representing a family pedigree to identify portions of the database or directed graph that correspond to portions of the family pedigree, in order to rank or identify one or more unknown biological specimens as most likely related to one or more family pedigrees.
    • 本发明提供了至少三种预测未知生物样品是否源自特定家族成员的方法。 这些方法将来自未知生物标本的DNA谱与多于一个家族成员的DNA谱进行了比较,从而显着提高了方法识别能力。 特别地,本发明描述了将至少排列的第一家族成员列表和排名第二家庭成员列表组合以创建组合排名列表,并且将未知生物标本识别为包含表示候选者的具有最高组合排名的标本列表之一 这很可能与家庭有关。 第二种方法包括比较来自未知生物标本的测试DNA谱与家族谱系,其包括从家族成员的多个生物标本获得的靶DNA谱。 该方法还体现了使用修改的埃尔斯顿斯图尔特算法来确定血统似然比以排列并鉴定最可能是由家族谱系所代表的相应家族所追求的失踪者的未知生物标本的测试轮廓。 第三种方法包括构建生物标本之间已发现或已知关系的数据库或有向图,并与代表家族血统图的图表进行比较,以便识别对应于家族血统部分的数据库或有向图的部分,以便排列 或识别一个或多个未知生物标本,其最可能与一个或多个家族谱系相关。
    • 10. 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。