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公开(公告)号：US20140297574A1
公开(公告)日：2014-10-02
申请号：US14303435
申请日：2014-06-12
申请人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Christian Lahmer , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner , Thomas Pohl
发明人： Robert Heidasch , Stefan Scheidl , Michael Neumann , Matthias Kaiser , Christian Lahmer , Stephan Brand , Nico Licht , Klaus Reichenberger , Archim Heimann , Steffen Moldaner , Thomas Pohl
CPC分类号： G06F16/245 , G06F16/36 , G06F16/367 , G06N3/0427 , G06N3/08
摘要： A method and apparatus for detection of relationships between objects in a meta-model semantic network is described. Semantic objects and semantic relations of a meta-model of business objects are generated from a meta-model semantic network. The semantic relations are based on connections between the semantic objects. A probability model of terminology usage in the semantic objects and the semantic relations is generated. A neural network is formed based on usage of the semantic objects, the semantic relations, and the probability model. The neural network is integrated with the semantic objects, the semantic relations, and the probability model to generate a contextual network. The generated probability model is integrated with semantic objects and neural networks for form parallel networks.
摘要翻译： 描述了用于检测元模型语义网络中的对象之间的关系的方法和装置。 业务对象的元模型的语义对象和语义关系由元模型语义网络生成。 语义关系基于语义对象之间的连接。 生成语义对象中的术语使用概率模型和语义关系。 基于语义对象的使用，语义关系和概率模型形成神经网络。 神经网络与语义对象，语义关系和概率模型集成以生成语境网络。 所产生的概率模型与形式并行网络的语义对象和神经网络集成。
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公开(公告)号：US09665631B2
公开(公告)日：2017-05-30
申请号：US14219915
申请日：2014-03-19
申请人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
发明人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
IPC分类号： G06F17/30
CPC分类号： G06F17/30241 , G06F17/30557 , G06F17/30917
摘要： Data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes series time-stamped frames for each of the sensors and at least one of the sources has two or more associated sensors. The received data can be sorted and processed, for each sensor on a sensor-by-sensor basis, using a sliding window. The sorted and processed data can then be correlated and written into a data storage application. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号：US09645224B2
公开(公告)日：2017-05-09
申请号：US14219927
申请日：2014-03-19
申请人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
发明人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
CPC分类号： G01S5/0027 , G01S19/19
摘要： Correlated and processed data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes a series of time-stamped frames for each of the sensors. Subsequently, events of interest are identified, in real-time, based on relative positions of the sources within the zone of interest prior to the data being written to a data storage application. Data can then be provided (e.g., loaded, stored, displayed, transmitted, etc.), in real-time, that characterize the events of interest. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号：US20150268929A1
公开(公告)日：2015-09-24
申请号：US14219915
申请日：2014-03-19
申请人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
发明人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
CPC分类号： G06F17/30241 , G06F17/30557 , G06F17/30917
摘要： Data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes series time-stamped frames for each of the sensors and at least one of the sources has two or more associated sensors. The received data can be sorted and processed, for each sensor on a sensor-by-sensor basis, using a sliding window. The sorted and processed data can then be correlated and written into a data storage application. Related apparatus, systems, techniques and articles are also described.
摘要翻译： 接收从多个地理空间传感器导出的数据，其分别产生表征感兴趣区域内的多个源的数据。 数据包括用于每个传感器的串行时间戳帧，并且至少一个源具有两个或更多个相关联的传感器。 可以使用滑动窗口，按传感器的传感器对每个传感器对接收的数据进行分类和处理。 然后将分类和处理的数据相关并写入数据存储应用程序。 还描述了相关设备，系统，技术和物品。
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公开(公告)号：US20150265876A1
公开(公告)日：2015-09-24
申请号：US14219927
申请日：2014-03-19
申请人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
发明人： Torsten Abraham , Florian Foebel , Boris Gruschko , Gerrit Simon Kazmaier , Christian Lahmer , Nico Licht , Marcus Lieberenz , Lars Volker
CPC分类号： G01S5/0027 , G01S19/19
摘要： Correlated and processed data is received that is derived from a plurality of geo-spatial sensors that respectively generate data characterizing a plurality of sources within a zone of interest. The data includes a series of time-stamped frames for each of the sensors. Subsequently, events of interest are identified, in real-time, based on relative positions of the sources within the zone of interest prior to the data being written to a data storage application. Data can then be provided (e.g., loaded, stored, displayed, transmitted, etc.), in real-time, that characterize the events of interest. Related apparatus, systems, techniques and articles are also described.
摘要翻译： 接收从多个地理空间传感器导出的相关和处理的数据，其分别产生表征感兴趣区域内的多个源的数据。 数据包括用于每个传感器的一系列时间戳的帧。 随后，基于在将数据写入数据存储应用程序之前的感兴趣区域内的源的相对位置，实时地识别感兴趣的事件。 然后可以实时提供表征感兴趣事件的数据（例如，加载，存储，显示，传输等）。 还描述了相关设备，系统，技术和物品。
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