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41. 发明申请

WO2013154680A3 INFORMATIVE DISPLAY FOR STATISTICAL POSITIONING SYSTEM 审中-公开
标题翻译：用于统计定位系统的信息显示
公开(公告)号：WO2013154680A3
公开(公告)日：2014-02-27
申请号：PCT/US2013026571
申请日：2013-02-18
申请人： QUALCOMM INC
发明人： PODURI SAMEERA , PAKZAD PAYAM , GUPTA RAJARSHI
IPC分类号： H04W4/02
CPC分类号： H04W4/028
摘要： System and method for providing informative display for statistical positioning system are disclosed. In one embodiment, the method includes receiving a statistical distribution of user locations in an area, where the statistical distribution of user locations includes a plurality of points representing likelihood of a user at corresponding locations, generating a weighted statistical distribution of user locations using an inverse distance weighting function,, determining one or more estimated locations of the user using the weighted statistical distribution, and displaying the one or more estimated locations of the user, or a representation of the weighted statistical distribution of user position in a display.
摘要翻译：公开了一种用于提供统计定位系统信息显示的系统和方法。在一个实施例中，该方法包括在区域中接收用户位置的统计分布，其中用户位置的统计分布包括表示用户在相应位置的可能性的多个点，使用逆向生成用户位置的加权统计分布距离加权函数，使用所述加权统计分布确定所述用户的一个或多个估计位置，以及显示所述用户的所述一个或多个估计位置，或显示中用户位置的加权统计分布的表示。

42. 发明申请

WO2013173043A2 COMMUNICATING BEHAVIOR INFORMATION IN A MOBILE COMPUTING DEVICE 审中-公开
标题翻译：在移动计算设备中传播行为信息
公开(公告)号：WO2013173043A2
公开(公告)日：2013-11-21
申请号：PCT/US2013038399
申请日：2013-04-26
申请人： QUALCOMM INC
发明人： GUPTA RAJARSHI , HALAMBI SOORGOLI ASHOK , GATHALA SUDHA A , SRIDHARA VINAY
IPC分类号： G06F9/54
CPC分类号： G06F9/541 , G06F21/44 , G06F21/554 , G06F21/564
摘要： Methods, systems and devices for communicating behavior analysis information using an application programming interface (API) may include receiving data/behavior models from one or more third-party network servers in a client module of a mobile device and communicating the information to a behavior observation and analysis system via a behavior API. The third-party servers may be maintained by one or more partner companies that have domain expertise in a particular area or technology that is relevant for identifying, analyzing, classifying, and/or reacting to mobile device behaviors, but that do not have access to (or knowledge of) the various mobile device sub-systems, interfaces, configurations, modules, processes, drivers, and/or hardware systems required to generate effective data/behavior models suitable for use by the mobile device. The behavior API and/or client modules allow the third-party server to quickly and efficiently access the most relevant and important information on the mobile device.
摘要翻译：用于使用应用编程接口（API）传达行为分析信息的方法，系统和设备可以包括从移动设备的客户端模块中的一个或多个第三方网络服务器接收数据/行为模型，并将该信息传达到行为观察并通过行为API分析系统。第三方服务器可能由一个或多个合作伙伴公司维护，这些合作公司在特定领域或技术方面具有与移动设备行为的识别，分析，分类和/或响应相关的领域专长，但无法访问（或知道）生成适合于移动设备使用的有效数据/行为模型所需的各种移动设备子系统，接口，配置，模块，过程，驱动程序和/或硬件系统。行为API和/或客户端模块允许第三方服务器快速有效地访问移动设备上最相关和重要的信息。

43. 发明申请

WO2013173003A2 ARCHITECTURE FOR CLIENT-CLOUD BEHAVIOR ANALYZER 审中-公开
标题翻译：客户行为分析员架构
公开(公告)号：WO2013173003A2
公开(公告)日：2013-11-21
申请号：PCT/US2013035963
申请日：2013-04-10
申请人： QUALCOMM INC
发明人： GUPTA RAJARSHI , WEI XUETAO , GATHALA ANIL , SRIDHARA VINAY
IPC分类号： G06N5/04
CPC分类号： G06N99/005 , G06F21/552 , G06F21/566 , G06N5/043
摘要： Methods, systems and devices for generating data models in a client-cloud communication system may include applying machine learning techniques to generate a first family of classifier models that describe a cloud corpus of behavior vectors. Such vectors may be analyzed to identify factors in the first family of classifier models that have the highest probably of enabling a mobile device to conclusively determine whether a mobile device behavior is malicious or benign. Based on this analysis, a a second family of classifier models may be generated that identify significantly fewer factors and data points as being relevant for enabling the mobile device to conclusively determine whether the mobile device behavior is malicious or benign based on the determined factors. A mobile device classifier module based on the second family of classifier models may be generated and made available for download by mobile devices, including devices contributing behavior vectors.
摘要翻译：用于在客户云通信系统中生成数据模型的方法，系统和设备可以包括应用机器学习技术来生成描述行为矢量的云语料库的分类器模型的第一族。可以分析这样的向量以识别分类器模型的第一族中的因素，其中最可能使移动设备能够最终确定移动设备行为是恶意还是良性。基于该分析，可以生成第二系列分类器模型，其识别显着更少的因子和数据点，使其与使得移动设备能够根据确定的因素最终确定移动设备行为是恶意还是良性有关。可以生成基于第二类分类器模型的移动设备分类器模块，并使其可用于由移动设备（包括贡献行为矢量的设备）进行下载。

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