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公开(公告)号：US09699603B2
公开(公告)日：2017-07-04
申请号：US14882670
申请日：2015-10-14
Applicant: Cisco Technology, Inc.
Inventor： Zhitao Shen , David Tang , Hao Liu , Yu Zhang
Abstract: According to the techniques presented herein, location data from signals transmitted by a plurality of mobile wireless devices in a wireless network are obtained. For each mobile wireless device, location data time points are aggregated to generate a plurality of routines or paths of movement for each mobile wireless device within a predefined space. The predefined space is partitioned into a plurality of units and each routine of the plurality of routines is also partitioned into a plurality of subroutines or segments. For each unit, one or more subroutines within a predefined distance of a frequent subroutine are combined with the frequent subroutine, and the frequent subroutines may be displayed on a graphical interface to visualize aggregate movement of the plurality of mobile wireless devices within the predefined space. Frequent subroutines may be analyzed in an automated manner to generate notifications and alerts.
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Patent Agency Ranking
公开(公告)号：US20170111760A1
公开(公告)日：2017-04-20
申请号：US14882670
申请日：2015-10-14
Applicant: Cisco Technology, Inc.
Inventor： Zhitao Shen , David Tang , Hao Liu , Yu Zhang
Abstract: According to the techniques presented herein, location data from signals transmitted by a plurality of mobile wireless devices in a wireless network are obtained. For each mobile wireless device, location data time points are aggregated to generate a plurality of routines or paths of movement for each mobile wireless device within a predefined space. The predefined space is partitioned into a plurality of units and each routine of the plurality of routines is also partitioned into a plurality of subroutines or segments. For each unit, one or more subroutines within a predefined distance of a frequent subroutine are combined with the frequent subroutine, and the frequent subroutines may be displayed on a graphical interface to visualize aggregate movement of the plurality of mobile wireless devices within the predefined space. Frequent subroutines may be analyzed in an automated manner to generate notifications and alerts.
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公开(公告)号：US20170105099A1
公开(公告)日：2017-04-13
申请号：US14881538
申请日：2015-10-13
Applicant: Cisco Technology, Inc.
Inventor： Hao Liu , David Tang , Zhitao Shen , Hua Zhang , Vikram Kumaran
Abstract: Location data is obtained from signals transmitted by a first plurality of mobile wireless devices in a wireless network, wherein the first plurality of mobile wireless devices are moving within a predefined space, and wherein the location data comprises a plurality of location data time points, each location data time point including a timestamp, a unique mobile wireless device identifier, and location information indicating where in the predefined space an associated mobile wireless device is located. For each mobile wireless device, location data time points are aggregated to generate a set of aggregated location data for each mobile wireless device, and the set of aggregated location data is analyzed to determine characteristics corresponding to time-dependent behavior and location-specific behavior of the corresponding mobile wireless device. A user of each corresponding mobile wireless device is classified into a category of a plurality of categories based on the determined characteristics.
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公开(公告)号：US10165180B2
公开(公告)日：2018-12-25
申请号：US15248088
申请日：2016-08-26
Applicant: Cisco Technology, Inc.
Inventor： Hao Liu , Dawei Tang , Yuliang Du
Abstract: In one embodiment, a method comprises: identifying a deployment context for execution within one or more distributed camera devices in a distributed camera system, the deployment context including video recognition requirements relative to available capacity in the one or more distributed camera devices; determining an optimized executable recognition resource for the deployment context from available executable recognition resources; and sending, to the one or more distributed camera devices, an instruction for deployment and execution of the optimized executable recognition resource for optimized recognition according to the deployment context.
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公开(公告)号：US09930494B2
公开(公告)日：2018-03-27
申请号：US14881538
申请日：2015-10-13
Applicant: Cisco Technology, Inc.
Inventor： Hao Liu , David Tang , Zhitao Shen , Hua Zhang , Vikram Kumaran
Abstract: Location data is obtained from signals transmitted by a first plurality of mobile wireless devices in a wireless network, wherein the first plurality of mobile wireless devices are moving within a predefined space, and wherein the location data comprises a plurality of location data time points, each location data time point including a timestamp, a unique mobile wireless device identifier, and location information indicating where in the predefined space an associated mobile wireless device is located. For each mobile wireless device, location data time points are aggregated to generate a set of aggregated location data for each mobile wireless device, and the set of aggregated location data is analyzed to determine characteristics corresponding to time-dependent behavior and location-specific behavior of the corresponding mobile wireless device. A user of each corresponding mobile wireless device is classified into a category of a plurality of categories based on the determined characteristics.
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公开(公告)号：US20170193371A1
公开(公告)日：2017-07-06
申请号：US14985790
申请日：2015-12-31
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Zhitao Shen , Vikram Kumaran , David Tang , Hao Liu
CPC classification number: G06F16/24568 , G06N20/00 , G06N20/20
Abstract: In one embodiment, a method includes receiving a data stream at an analytics device, applying at the analytics device, continuous streaming queries to the data stream to build a plurality of models simultaneously for a plurality of time windows, each of the models comprising an incremental machine learning algorithm with parameters optimized for one of the time windows, validating the models in parallel using real-time data at the analytics device, selecting at least one of the models based on a comparison of validation results for the models, and applying the selected model to the real-time data to generate a data prediction at the analytics device. An apparatus and logic are also disclosed herein.
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