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公开(公告)号:US12013745B2
公开(公告)日:2024-06-18
申请号:US18297935
申请日:2023-04-10
Applicant: Quantum Metric, Inc.
Inventor: Mario Luciano Ciabarra, Jr. , Joseph Eric Pastuer
IPC: G06F11/07 , G06F11/00 , G06F11/30 , G06F11/34 , G06F16/958 , H04L43/06 , H04L67/02 , H04L67/10 , H04L67/50 , H04L67/566
CPC classification number: G06F11/0757 , G06F11/006 , G06F11/0709 , G06F11/3006 , G06F11/3452 , G06F16/986 , H04L43/06 , H04L67/02 , H04L67/10 , H04L67/535 , H04L67/566 , G06F2201/81 , G06F2201/86
Abstract: A method is provided for monitoring operation of and/or interaction with a website to detect events (“frustration events”). A detection system can monitor a website for the same or unrelated interaction and operation to detect events that affect the performance of a website, while contributing to the frustration of user interaction with the website. The detection system can monitor interaction with and/or operation of one or more documents of a website. Interactions with a website, operations of the website, or a combination thereof, may be assessed with respect to a threshold defining an event. One or more criteria (e.g., a time period) of the event may be assessed for the interactions and operations. Event data may be generated for the event(s) that occur. The event data may be sent to a host system to adjust operation of the website.
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2.
公开(公告)号:US11966275B2
公开(公告)日:2024-04-23
申请号:US17992743
申请日:2022-11-22
Applicant: Oracle International Corporation
Inventor: Ali Seyfi , Yasha Pushak , Hesam Fathi Moghadam , Sungpack Hong , Hassan Chafi
CPC classification number: G06F11/006 , G06N20/00 , G06F2201/82
Abstract: The present invention relates to machine learning (ML) explainability (MLX). Herein are local explanation techniques for black box ML models based on coalitions of features in a dataset. In an embodiment, a computer receives a request to generate a local explanation of which coalitions of features caused an anomaly detector to detect an anomaly. During unsupervised generation of a new coalition, a first feature is randomly selected from features in a dataset. Which additional features in the dataset can join the coalition, because they have mutual information with the first feature that exceeds a threshold, is detected. For each feature that is not in the coalition, values of the feature are permuted in imperfect copies of original tuples in the dataset. An average anomaly score of the imperfect copies is measured. Based on the average anomaly score of the imperfect copies, a local explanation is generated that references (e.g. defines) the coalition.
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公开(公告)号:US11886282B2
公开(公告)日:2024-01-30
申请号:US17470543
申请日:2021-09-09
Applicant: Huawei Technologies Co., Ltd.
Inventor: Liang Zhang , Dechun Qi , Xiaoyan Zhou , Zhiqiang Li , Liang Yu , Dengzhou Xia , Chunhua Hu , Zhongsheng Yan
CPC classification number: G06F11/0793 , G06F9/4406 , G06F9/44552 , G06F11/006 , G06F11/079 , G06F11/0742 , G06F11/0781 , G06F11/1417 , G06F11/1438 , G06F11/1441 , G06F11/2284
Abstract: Embodiments of this application provide a recovery method for a terminal device startup failure and a terminal device. The method includes: determining that a failure indication event occurs in a startup process, where the failure indication event is used to indicate a startup failure; determining at least one recovery policy based on a type of the failure indication event and/or a cause of the failure indication event; and performing startup recovery based on the at least one recovery policy.
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公开(公告)号:US20230359514A1
公开(公告)日:2023-11-09
申请号:US18353322
申请日:2023-07-17
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Naveena Kedlaya , Sharath Karkada Srinivasa , Bindu Loganathan
CPC classification number: G06F9/542 , G06F11/006 , G06F2201/86
Abstract: Techniques for performing operation-based event suppression are described. In an example, a determination may be performed as to whether an event is to be suppressed if the event is received in response to performance of an operation. The determination may be performed based on at least one of number of actions triggered by the event, frequency of occurrence of the event in an event stream in response to performance of the operation, and frequency of occurrence of the event in the event stream without performance of the first operation.
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公开(公告)号:US20230305612A1
公开(公告)日:2023-09-28
申请号:US17706186
申请日:2022-03-28
Applicant: MITRE Corporation
Inventor: Michael J. Paquette , Brian D. Marquis
CPC classification number: G06F1/30 , G06F11/006
Abstract: Power and electromagnetic fault injection vulnerabilities in an integrated circuit (IC) can be characterized sampling one or more integrated timing sensors in real-time or by equivalent-time sampling. To achieve equivalent-time sampling, a series of fault injection attempts are performed. An array of timing sensors implemented in part of the IC capture a measure of relative propagation delay, which fluctuates proportionally with instantaneous voltage. Increased voltage fluctuation can indicate elevated probability of faults in digital logic. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号:US20230267026A1
公开(公告)日:2023-08-24
申请号:US18309402
申请日:2023-04-28
Applicant: Salesforce, Inc.
Inventor: Abhijit Sur , Charles Hart Isaacs
CPC classification number: G06F11/0709 , G06F11/0772 , G06F11/006 , G06F11/0793
Abstract: Techniques disclosed herein relate to managing notifications to a user associated with a computing device. The notifications correspond to a response to an indication of an exception condition on the computing device. The response to the exception condition includes a plurality of steps, including computer-implemented steps in which data objects output a plurality of notifications for the user. These notifications are processed by a notification choreographer and used to prepare a unified status communication. The unified status communication is output to the user and depicts information corresponding to a plurality of the notifications.
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公开(公告)号:US20190089495A1
公开(公告)日:2019-03-21
申请号:US15708488
申请日:2017-09-19
Applicant: International Business Machines Corporation
Inventor: CHAD M. ALBERTSON , ERIC J. CAMPBELL , NICHOLAS J. OLLERICH , CHRISTOPHER W. STEFFEN , CURTIS C. WOLLBRINK
CPC classification number: H04L1/201 , G06F11/006 , G06F13/00 , G06F13/4265 , G06F2201/805
Abstract: Low latency corrupt data tagging on a cross-chip link including receiving, from the cross-chip link, a control flit comprising a virtual channel identifier for an incoming data flit; storing the virtual channel identifier in a data pipeline and a bad data indicator (BDI) pipeline; receiving, from the cross-chip link, the incoming data flit into the data pipeline; moving, based on the virtual channel identifier in the data pipeline, the data flit from the data pipeline into an entry in a virtual channel queue corresponding to the virtual channel identifier; receiving, from the cross-chip link, a BDI for the data flit into the BDI pipeline; and moving, based on the virtual channel identifier in the BDI pipeline, the BDI for the data flit from the BDI pipeline into an entry in a BDI array corresponding to the entry in the virtual channel queue storing the data flit.
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公开(公告)号:US20190087355A1
公开(公告)日:2019-03-21
申请号:US16130858
申请日:2018-09-13
Applicant: STMICROELECTRONICS (ROUSSET) SAS
Inventor: Fabrice ROMAIN
CPC classification number: G06F12/1458 , G06F11/006 , G06F12/1408 , G06F2201/805 , G06F2212/1052 , G06F2221/2141
Abstract: The present disclosure concerns a memory access control system comprising: a processing device capable of operating in a plurality of operating modes, and of accessing a memory using a plurality of address aliases; and a verification circuit configured: to receive, in relation with a first read operation of a first memory location in the memory, an indication of a first of said plurality of address aliases associated with the first read operation; to verify that a current operating mode of the processing device permits the processing device to access the memory using the first address alias; to receive, during the first read operation, a first marker stored at the first memory location; and to verify, based on the first marker and on the first address alias, that the processing device is permitted to access the first memory location.
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公开(公告)号:US20180373579A1
公开(公告)日:2018-12-27
申请号:US15674235
申请日:2017-08-10
Applicant: Accenture Global Solutions Limited
Inventor: Vijay Singh RATHORE , Suneet KUMAR GARG , Manisha SURI SRIRAMAN , Alok JOHRI , Manoj KRISHNA , Vasuprad KANADE , Ayan CHAKRABORTY , Harsh H. SHARMA , Shrikant SARDA
CPC classification number: G06F11/006 , G06F11/3082 , G06F17/18 , G06F2201/80 , G06N5/025 , G06N20/00 , G06Q10/00 , G06Q10/06 , H03M13/01
Abstract: A first device may receive data from a set of second devices to be processed to determine a quality of the data. The data may include first data stored by the set of second devices, second data provided toward a third device, or third data related to fourth data. The first device may process the data using a first set of techniques to prepare the data for processing. The first device may process the data using a second set of techniques to improve the quality of the data and to form processed data. The first device may provide the processed data toward the set of second devices to replace the data stored by the set of second devices to permit the set of second devices to use the processed data. The first device may perform an action after providing the processed data toward the set of second devices.
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公开(公告)号:US20180336082A1
公开(公告)日:2018-11-22
申请号:US15985600
申请日:2018-05-21
Applicant: Rui Li , Henning Ochsenfeld
Inventor: Rui Li , Henning Ochsenfeld
CPC classification number: G06F11/079 , G05B23/0227 , G06F11/006 , G06F11/0736 , G06F2201/86 , G06Q10/0639
Abstract: A similarity between a pattern distribution of selected state patterns of system state descriptions in a first set of system state descriptions and an average pattern distribution of the selected state patterns of the system state descriptions in a second set of system state description is determined. The similarity is compared with a plurality of such similarities between the pattern distributions within the second set of system state descriptions and the average pattern distribution in the second set of system state descriptions. An abnormal state of the system is determined using this comparison.
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