公开(公告)号：US20150230051A1

公开(公告)日：2015-08-13

申请号：US14688616

申请日：2015-04-16

Applicant: QUALCOMM Incorporated

Inventor： Saumitra Mohan DAS ,  Ayman Fawzy NAGUIB ,  Rajarshi GUPTA

IPC: H04W4/02

CPC classification number: H04W4/02 ,  G01C21/20 ,  G01C21/206 ,  G01S5/0036 ,  H04W4/021 ,  H04W4/029 ,  H04W4/043

Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, articles, etc. for mobile device locating in conjunction with localized environments. For certain example implementations, a method may comprise obtaining at a mobile device one or more signals comprising information indicative of a location thereof. The information may be transmitted to one or more servers. A location context identifier (LCI) may be received responsive to the transmitting, with the LCI corresponding to a localized environment at which the mobile device is located. The LCI may be transmitted to the one or more servers. Location-based data may be received responsive to the transmitting of the LCI, with the location-based data being associated with the LCI and pertaining to the localized environment. The location of the mobile device may be determined with respect to the localized environment based, at least in part, on the location-based data. Other example implementations are described herein.

Abstract translation: 本文公开的主题涉及用于结合局部化环境定位的移动设备的系统，方法，设备，物品等。 对于某些示例实现，方法可以包括在移动设备处获取包括指示其位置的信息的一个或多个信号。 信息可以被发送到一个或多个服务器。 可以响应于发送而接收位置上下文标识符（LCI），其中LCI对应于移动设备所在的本地化环境。 LCI可以被发送到一个或多个服务器。 响应于LCI的发送可以接收基于位置的数据，基于位置的数据与LCI相关联并且与本地化环境有关。 至少部分地基于位置数据，可以相对于本地化环境来确定移动设备的位置。 本文描述了其他示例实现。

公开(公告)号：US20150138019A1

公开(公告)日：2015-05-21

申请号：US14608857

申请日：2015-01-29

Applicant: QUALCOMM Incorporated

Inventor： Rajarshi GUPTA ,  Andreas Klaus Wachter

IPC: G01S5/00 ,  G01S5/02

CPC classification number: H04W4/30 ,  G01C15/00 ,  G01S5/0036 ,  G01S5/0045 ,  G01S5/0289 ,  H04L67/18 ,  H04W4/02 ,  H04W4/043 ,  H04W4/20 ,  H04W64/00

Abstract: The subject matter disclosed herein relates to a system and method for determining indoor context information relating to a location of a mobile device. Indoor context information may be utilized by a mobile device or a network element to obtain an estimate of a location of the mobile device within an indoor environment.

Abstract translation: 本文公开的主题涉及用于确定与移动设备的位置相关的室内上下文信息的系统和方法。 室内上下文信息可以由移动设备或网络元件利用以获得在室内环境中移动设备的位置的估计。

公开(公告)号：US20160285897A1

公开(公告)日：2016-09-29

申请号：US14667461

申请日：2015-03-24

Applicant: QUALCOMM Incorporated

Inventor： Alexander GANTMAN ,  Rajarshi GUPTA ,  Vinay SRIDHARA

IPC: H04L29/06 ,  G06N99/00

CPC classification number: H04L63/1416 ,  G06F21/552 ,  G06F21/56 ,  G06F2221/034 ,  G06N99/005 ,  H04L63/1425 ,  H04L63/145

Abstract: A computing device may be configured to work in conjunction with another component (e.g., a server) to better determine whether a software application is benign or non-benign. This may be accomplished via the server performing static and/or dynamic analysis operations, generating a behavior information structure that describes or characterizes the range of correct or expected behaviors of the software application, and sending the behavior information structure to a computing device. The computing device may compare the received behavior information structure to a locally generated behavior information structure to determining whether the observed behavior of the software application differs or deviates from the expected behavior of the software application or whether the observed behavior is within the range of expected behaviors. The computing device may increase its level of security/scrutiny when the behavior information structure does not match the local behavior information structure.

Abstract translation: 计算设备可以被配置为与另一组件（例如，服务器）结合工作，以更好地确定软件应用是良性还是非良性。 这可以通过执行静态和/或动态分析操作的服务器来实现，生成描述或表征软件应用的正确或预期行为的范围的行为信息结构，以及将行为信息结构发送到计算设备。 计算设备可以将接收到的行为信息结构与本地生成的行为信息结构进行比较，以确定所观察到的软件应用的行为是否不同或偏离了软件应用的预期行为，或观察到的行为是否在预期行为的范围内 。 当行为信息结构与本地行为信息结构不匹配时，计算设备可能会提高其安全性/审查级别。

公开(公告)号：US20150091941A1

公开(公告)日：2015-04-02

申请号：US14042213

申请日：2013-09-30

Applicant: QUALCOMM Incorporated

Inventor： Saumitra Mohan DAS ,  Rajarshi GUPTA ,  Sameera PODURI ,  Behrooz KHORASHADI

IPC: G06T19/00 ,  A63F13/88 ,  A63F13/23 ,  G06F3/01

CPC classification number: G06T19/006 ,  A63F13/20 ,  A63F13/216 ,  A63F13/217 ,  A63F13/23 ,  A63F13/332 ,  A63F13/40 ,  A63F13/45 ,  A63F13/88 ,  A63F2300/8082 ,  G06F3/011 ,  G06F3/017

Abstract: Techniques for providing a user with an augmented virtuality (AV) experience are described herein. An example of a method of providing an AV experience includes determining a location of a mobile device, determining a context based on the location, obtaining AV object information, displaying the AV object information in relation to the context, detecting an interaction with the context, modifying the AV object information based on the interaction, and displaying the modified AV object information. The context may include weighting information. The weighting information may be based on Received Signal Strength Indication (RSSI) or Round-Trip Time (RTT) data. The weighting information may be associated with a composition of a physical object in the context. A user gesture may be received, and the AV object information may be modified based on the received gesture information.

Abstract translation: 本文描述了为用户提供增强虚拟（AV）体验的技术。 提供AV体验的方法的示例包括确定移动设备的位置，基于位置确定上下文，获得AV对象信息，显示与上下文相关的AV对象信息，检测与上下文的交互， 基于交互来修改AV对象信息，并显示修改的AV对象信息。 上下文可以包括加权信息。 加权信息可以基于接收信号强度指示（RSSI）或往返时间（RTT）数据。 加权信息可以与上下文中的物理对象的组合相关联。 可以接收用户手势，并且可以基于接收到的手势信息来修改AV对象信息。

公开(公告)号：US20140317734A1

公开(公告)日：2014-10-23

申请号：US14319471

申请日：2014-06-30

Applicant: QUALCOMM INCORPORATED

Inventor： Andres VALENCIA ,  Mastooreh SALAJEGHEH ,  Vinay SRIDHARA ,  Mihai CHRISTODORESECU ,  Rajarshi GUPTA

IPC: G06F21/55

CPC classification number: G06F21/552 ,  G06F21/316 ,  G06F2221/2111

Abstract: Methods, devices and systems for detecting suspicious or performance-degrading mobile device behaviors intelligently, dynamically, and/or adaptively determine computing device behaviors that are to be observed, the number of behaviors that are to be observed, and the level of detail or granularity at which the mobile device behaviors are to be observed. The various aspects efficiently identify suspicious or performance-degrading mobile device behaviors without requiring an excessive amount of processing, memory, or energy resources.

Abstract translation: 用于智能地，动态地和/或自适应地检测待观察的计算设备行为，要观察的行为的数量以及细节或粒度的级别来检测可疑或降级性能的移动设备行为的方法，设备和系统 在那里要观察移动设备的行为。 各个方面有效地识别可疑或降低性能的移动设备行为，而不需要过多的处理，存储器或能量资源。

公开(公告)号：US20140223553A1

公开(公告)日：2014-08-07

申请号：US13757268

申请日：2013-02-01

Applicant: QUALCOMM INCORPORATED

Inventor： Rajarshi GUPTA ,  Saumitra Mohan DAS ,  Ayman Fawzy NAGUIB

IPC: G06F21/52

CPC classification number: G06F21/552 ,  G06F21/52 ,  G06F21/577 ,  G06F2221/034 ,  H04L63/107 ,  H04L63/1416 ,  H04L63/1433 ,  H04M1/72572 ,  H04W4/02 ,  H04W12/12

Abstract: Disclosed are systems, apparatus, devices, methods, computer program products, and other implementations, including a method that includes determining location of a device, and controlling monitoring of behavior of one or more processes executing on the device based on the determined location of the device to identify potential one or more security-risky processes from the monitored one or more executing processes. In some embodiments, controlling the monitoring of the behavior of the one or more processes may include one or more of, for example, adjusting frequency of the monitoring of the one or more processes based on the determined location of the device, adjusting level of detail obtained for the monitored behavior of the one or more processes based on the determined location of the device, and/or adjusting features being observed for the monitored one or more processes based on the determined location of the device.

Abstract translation: 公开了系统，装置，设备，方法，计算机程序产品和其他实施方式，包括包括确定设备的位置的方法，以及基于所确定的位置来控制在设备上执行的一个或多个进程的行为的监视 从所监视的一个或多个执行过程中识别潜在的一个或多个安全风险过程。 在一些实施例中，控制对一个或多个进程的行为的监视可以包括例如基于所确定的设备位置来调整一个或多个进程的监视的频率中的一个或多个，调整详细程度 基于所确定的设备的位置来监视所述一个或多个进程的监视行为，和/或基于所确定的设备的位置来调整针对所监视的一个或多个进程的特征。

公开(公告)号：US20140153773A1

公开(公告)日：2014-06-05

申请号：US13757645

申请日：2013-02-01

Applicant: QUALCOMM INCORPORATED

Inventor： Rajarshi GUPTA ,  Saumitra Mohan DAS ,  Hui CHAO ,  Ayman Fawzy NAGUIB

IPC: G06K9/62

CPC classification number: G06K9/00664 ,  G06K9/6202 ,  G06T7/75

Abstract: In one implementation, a method may comprise: determining a topological representation of an indoor portion of a building based, at least in part, on positions or number of lines in an image of the indoor portion of the building; and comparing the topological representation to one or more stored topological representations, for example in a digital map of the building, to determine a potential position of the indoor portion of the building.

Abstract translation: 在一个实现中，方法可以包括：至少部分地基于建筑物的室内部分的图像中的线的位置或数量来确定建筑物的室内部分的拓扑表示; 以及将拓扑表示与一个或多个存储的拓扑表示（例如在建筑物的数字地图中）进行比较，以确定建筑物的室内部分的潜在位置。

公开(公告)号：US20140053261A1

公开(公告)日：2014-02-20

申请号：US13937462

申请日：2013-07-09

Applicant: QUALCOMM Incorporated

Inventor： Rajarshi GUPTA ,  Mark Bapst ,  Mohammad H Reshadi ,  Samir Kumar

IPC: G06F21/55 ,  G06F9/445

CPC classification number: G06F21/55 ,  G06F8/61 ,  G06F8/65 ,  G06F11/3013 ,  G06F11/3409 ,  G06F11/3447 ,  G06F11/3476 ,  G06F21/316 ,  G06F21/552 ,  G06F2201/865 ,  G06N5/043 ,  H04L63/1425 ,  H04W12/12

Abstract: 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 probability of enabling a mobile device to better determine whether a mobile device behavior is malicious or benign. Based on this analysis, 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 better 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.

Abstract translation: 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。 可以分析这样的载体以识别第一类分类器模型中的因素，其具有使移动设备能够更好地确定移动设备行为是恶意还是良性的最高概率。 基于该分析，可以生成第二类分类器模型，其识别显着更少的因子和数据点，以使得移动设备能够基于确定的因素更好地确定移动设备行为是恶意还是良性。 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。

公开(公告)号：US20130172009A1

公开(公告)日：2013-07-04

申请号：US13783051

申请日：2013-03-01

Applicant: QUALCOMM INCORPORATED

Inventor： Rajarshi GUPTA ,  Saumitra Mohan DAS ,  Min-Wook JEONG

IPC: H04W4/02

CPC classification number: H04W4/02 ,  G01S5/0252 ,  G01S5/0278

Abstract: Methods and apparatuses are provided that may be implemented in a mobile device to determine that the mobile device is located within a particular level of a multi-level physical structure based, at least in part, on a comparison of measured wireless signals and stored measurements of wireless signals.

Abstract translation: 提供了可以在移动设备中实现的方法和装置，以至少部分地基于测量的无线信号和存储的测量值的比较来确定移动设备位于多级物理结构的特定级别内 无线信号。

公开(公告)号：US20150356451A1

公开(公告)日：2015-12-10

申请号：US14295561

申请日：2014-06-04

Applicant: QUALCOMM Incorporated

Inventor： Rajarshi GUPTA ,  Vinay Sridhara ,  Satyajit Prabhakar Patne ,  Mihai Christodorescu

IPC: G06N7/00 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06F21/552

Abstract: Various aspects provide methods implemented by at least one processor executing on a mobile communication device to efficiently identify, classify, model, prevent, and/or correct the non-benign (e.g., performance degrading) conditions and/or behaviors that are related to an application operating on the device. Specifically, in various aspects, the mobile computing device may derive or extract application-specific features by performing a binary analysis of an application and may determine the application's category (e.g., a “games,” “entertainment,” or “news” category) based on the application-specific features. The mobile computing device may also obtain a classifier model associated with the application's category that includes various conditions, features, behaviors and corrective actions that may be used to quickly identify and correct non-benign behaviors (e.g., undesirable, malicious, and/or performance-degrading behaviors) occurring on the mobile computing device that are related to the application.

Abstract translation: 各个方面提供由在移动通信设备上执行的至少一个处理器实现的方法，以有效地识别，分类，建模，防止和/或校正与非正式（例如性能降级）条件和/或与 应用程序在设备上运行。 具体地，在各个方面，移动计算设备可以通过执行应用的二进制分析来导出或提取特定于应用的特征，并且可以确定应用的类别（例如，“游戏”，“娱乐”或“新闻”类别） 基于应用程序的特征。 移动计算设备还可以获得与应用程序类别相关联的分类器模型，其包括可用于快速识别和校正非良性行为（例如，不期望的，恶意的和/或性能的）的各种条件，特征，行为和校正动作 - 降级行为）发生在与应用程序相关的移动计算设备上。