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1. 发明申请

US20220351521A1 VIDEO ANALYSIS USING A DEEP FUSION REASONING ENGINE (DFRE) 有权
公开(公告)号：US20220351521A1
公开(公告)日：2022-11-03
申请号：US17860962
申请日：2022-07-08
申请人： Cisco Technology, Inc.
发明人： Hugo Latapie , Enzo FENOGLIO , David Delano WARD , Guillaume Sauvage DE SAINT MARC , Carole GRIDLEY
IPC分类号： G06V20/52 , H04N7/18 , G06T7/11 , G06T7/20 , G08B5/22 , G06Q30/06 , G06V20/40 , G06V40/10
摘要： In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.

2. 发明申请

US20180018393A1 AUTOMATIC ONTOLOGY GENERATION FOR INTERNET OF THINGS APPLICATIONS 审中-公开
公开(公告)号：US20180018393A1
公开(公告)日：2018-01-18
申请号：US15212097
申请日：2016-07-15
申请人： Cisco Technology, Inc.
发明人： Hugo LATAPIE , Enzo FENOGLIO , Andre SURCOUF , Joseph T. FRIEL , Pete RAI
IPC分类号： G06F17/30 , H04L12/24
CPC分类号： G06F16/367 , G06F16/3344 , G06F16/3346 , G06F16/9535 , H04L41/12 , H04L41/145 , H04L41/16
摘要： A method comprises collecting, by a computing device located at an edge of a network, data items corresponding to information transmitted by endpoints using the network, generating, by the computing device, a probabilistic hierarchy using the data items, generating, by the computing device using the probabilistic hierarchy and natural language data, a similarity metric, generating, by the computing device using the probabilistic hierarchy, the natural language data, and the similarity metric, an ontology, detecting, by the computing device using the ontology, an anomaly, and in response to detecting the anomaly, sending a notification.

3. 发明申请

US20160283859A1 NETWORK TRAFFIC CLASSIFICATION 审中-公开
标题翻译：网络交通分类
公开(公告)号：US20160283859A1
公开(公告)日：2016-09-29
申请号：US14667701
申请日：2015-03-25
申请人： Cisco Technology, Inc.
发明人： Enzo FENOGLIO , Andre SURCOUF , Joseph FRIEL , Hugo LATAPIE , Altan STALKER , Michael COSTELLO
IPC分类号： G06N99/00 , G06N7/00 , H04L12/26
CPC分类号： G06N20/00 , G06N7/00 , H04L41/16 , H04L43/026 , H04L43/04 , H04L43/50 , H04L47/2441
摘要： In one embodiment, a method for video traffic flow behavioral classification is implemented on a computing device and includes: receiving coarse flow data from a network router, where the coarse flow data includes summary statistics for data flows on the router, classifying the summary statistics to detect video flows from among the data flows, requesting fine flow data from the network router for each of the detected video flows, where the fine flow data includes information on a per packet basis, receiving the fine flow data from the network router, and classifying each of the detected video flows per video service provider in accordance with the information.
摘要翻译：在一个实施例中，一种用于视频业务流行为分类的方法在计算设备上实现，包括：从网络路由器接收粗流数据，其中粗流数据包括路由器上的数据流的汇总统计，将汇总统计分类为从数据流中检测视频流，从网络路由器请求每个检测到的视频流的精细流数据，其中精细流数据包括基于每个分组的信息，从网络路由器接收精细流数据，以及分类每个视频服务提供商根据该信息检测每个视频流。

4. 发明申请

US20150074679A1 Dynamic Scaling for Multi-Tiered Distributed Computing Systems 有权
标题翻译：多层分布式计算系统的动态缩放
公开(公告)号：US20150074679A1
公开(公告)日：2015-03-12
申请号：US14023686
申请日：2013-09-11
申请人： Cisco Technology Inc.
发明人： Enzo FENOGLIO , Andre SURCOUF , Fabien ANDRIEUX
IPC分类号： G06F9/50
CPC分类号： H04L67/1008 , G06F9/505 , G06F2209/5019
摘要： In one embodiment, a method is described. The method includes: monitoring workloads of a plurality of application classes, each of the application classes describing services provided by one or more applications in a multi-tiered system and comprising a plurality of instantiated execution resources; estimating, for each of the application classes, a number of execution resources able to handle the monitored workloads, to simultaneously maintain a multi-tiered system response time below a determined value and minimize a cost per execution resource; and dynamically adjusting the plurality of instantiated execution resources for each of the application classes based on the estimated number of execution resources.
摘要翻译：在一个实施例中，描述了一种方法。该方法包括：监视多个应用类的工作负荷，每个应用类描述由多层系统中的一个或多个应用提供的服务并且包括多个实例化的执行资源; 针对每个应用类别估计能够处理所监视的工作负载的多个执行资源，同时将多层系统响应时间维持在低于确定的值并最小化每个执行资源的成本; 并且基于所估计的执行资源数量动态地调整针对每个应用类的多个实例执行资源。

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