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公开(公告)号:US20240312619A1
公开(公告)日:2024-09-19
申请号:US18669103
申请日:2024-05-20
Applicant: KC HOLDINGS I
Inventor: Robert Louis Kaleal, III
IPC: G16H40/63 , A61B5/00 , A61B5/0205 , A61B5/08 , A61B5/11 , A61B5/16 , A61B5/20 , G06F1/16 , G06Q10/0639 , G06Q10/10 , G06Q50/00 , G06T13/40 , G06T19/00 , G09B5/02 , G09B5/06 , G09B19/00 , G16H20/40 , G16H20/70
CPC classification number: G16H40/63 , A61B5/0205 , A61B5/02055 , A61B5/11 , A61B5/165 , A61B5/20 , A61B5/40 , A61B5/41 , A61B5/42 , A61B5/43 , A61B5/45 , A61B5/486 , A61B5/7264 , A61B5/744 , A61B5/7445 , G06F1/1626 , G06Q10/0639 , G06Q10/10 , G06Q50/01 , G06T13/40 , G06T19/00 , G09B5/02 , G09B5/06 , G09B19/00 , G09B19/0092 , G16H20/40 , G16H20/70 , A61B5/08 , A61B5/44 , A61B5/7246 , G06T2219/2012
Abstract: Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.
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公开(公告)号:US12079701B2
公开(公告)日:2024-09-03
申请号:US17711410
申请日:2022-04-01
Applicant: Strong Force IoT Portfolio 2016, LLC
Inventor: Charles Howard Cella , Gerald William Duffy, Jr. , Jeffrey P. McGuckin , Mehul Desai
IPC: H04B17/309 , B62D15/02 , G01M13/028 , G01M13/04 , G01M13/045 , G05B13/02 , G05B19/418 , G05B23/02 , G06F18/21 , G06N3/006 , G06N3/02 , G06N3/044 , G06N3/045 , G06N3/047 , G06N3/084 , G06N3/088 , G06N5/046 , G06N7/01 , G06N20/00 , G06Q10/04 , G06Q10/0639 , G06Q30/02 , G06Q30/06 , G06Q50/00 , G06V10/778 , G06V10/82 , G16Z99/00 , H02M1/12 , H03M1/12 , H04B17/23 , H04B17/318 , H04B17/345 , H04L1/00 , H04L1/18 , H04L1/1867 , H04L67/1097 , H04L67/12 , H04W4/38 , H04W4/70 , B62D5/04 , G05B19/042 , G06F17/18 , G06F18/25 , G06N3/126 , H01B17/40 , H04B17/29 , H04B17/40 , H04L5/00 , H04L67/306
CPC classification number: G06N3/006 , B62D15/0215 , G01M13/028 , G01M13/04 , G01M13/045 , G05B13/028 , G05B19/4183 , G05B19/4184 , G05B19/41845 , G05B19/4185 , G05B19/41865 , G05B19/41875 , G05B23/0221 , G05B23/0229 , G05B23/024 , G05B23/0264 , G05B23/0283 , G05B23/0286 , G05B23/0289 , G05B23/0291 , G05B23/0294 , G05B23/0297 , G06F18/2178 , G06N3/02 , G06N3/044 , G06N3/045 , G06N3/047 , G06N3/084 , G06N3/088 , G06N5/046 , G06N7/01 , G06N20/00 , G06Q10/04 , G06Q10/0639 , G06Q30/02 , G06Q30/0278 , G06Q30/06 , G06Q50/00 , G06V10/7784 , G06V10/82 , G16Z99/00 , H02M1/12 , H03M1/12 , H04B17/23 , H04B17/309 , H04B17/318 , H04B17/345 , H04L1/0002 , H04L1/0041 , H04L1/18 , H04L1/1874 , H04L67/1097 , H04L67/12 , H04W4/38 , H04W4/70 , B62D5/0463 , G05B19/042 , G05B23/02 , G05B23/0208 , G05B2219/32287 , G05B2219/35001 , G05B2219/37337 , G05B2219/37351 , G05B2219/37434 , G05B2219/37537 , G05B2219/40115 , G05B2219/45004 , G05B2219/45129 , G06F17/18 , G06F18/21 , G06F18/217 , G06F18/25 , G06N3/126 , H01B17/40 , H04B17/29 , H04B17/40 , H04L1/0009 , H04L5/0064 , H04L67/306 , Y02P80/10 , Y02P90/02 , Y02P90/80 , Y04S50/00 , Y04S50/12 , Y10S707/99939
Abstract: Systems, methods and apparatus for modifying a data collection trajectory for conveyors are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of conveyor types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a conveyor performance parameter. A response circuit may initiate an action in response to the conveyor performance parameter.
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公开(公告)号:US12074772B2
公开(公告)日:2024-08-27
申请号:US17155256
申请日:2021-01-22
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Zhiping Jiang , Yuren You , Mahdi Hemmati , Abbas Javadtalab
IPC: H04L41/147 , G06N5/04 , G06N20/00 , G06Q10/067 , H04L41/14 , H04L43/55 , G06Q10/0637 , G06Q10/0639 , G06Q40/08
CPC classification number: H04L41/147 , G06N5/04 , G06N20/00 , G06Q10/067 , H04L41/145 , H04L43/55 , G06Q10/06375 , G06Q10/0639 , G06Q40/08
Abstract: The disclosed systems, structures, and methods are directed to risk assessment of an optical network. A simulation framework includes a risk map engine including a performance prediction engine that generates a simulation of the optical network based at least in part on an input network topology and/or service map. The prediction performance engine runs the simulation to predict, based at least in part on received network telemetry data, direct and indirect impacts on the optical network of a risk factor represented in a what-if scenario. The risk map engine includes a risk assessment engine that determines a risk associated with the risk factor based at least in part on the predicted direct and indirect impacts and on a likelihood of occurrence of the risk factor. The risk assessment engine generates a risk map showing aggregate risks to the optical network from a plurality of risk factors.
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公开(公告)号:US12072943B2
公开(公告)日:2024-08-27
申请号:US16943668
申请日:2020-07-30
Applicant: SONY INTERACTIVE ENTERTAINMENT LLC
Inventor: Albhy Galuten
IPC: G06F16/9535 , G06F16/2457 , G06F16/248 , G06F16/335 , G06Q10/0639 , G06Q10/10 , G06Q30/018
CPC classification number: G06F16/9535 , G06F16/24578 , G06F16/248 , G06F16/337 , G06Q10/0639 , G06Q10/10 , G06Q30/018
Abstract: Systems and methods for determining news veracity are provided. Information may be stored in memory regarding a plurality of media outlets, a plurality of journalists, and a plurality of predefined topics. News content may be received over a communication network. The received news content may be evaluated to identify an associated media outlet, an associated journalist, and at least one associated predefined topic. A current score for each of the associated media outlet, the associated journalist, and the at least one associated predefined topic may be identified based on the stored information. A veracity score may be scored based on the identified current scores for the associated media outlet, the associated journalist, and the at least one associated predefined topic. A display associated with the received news content may be modified based on the generated veracity score.
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公开(公告)号:US12067518B2
公开(公告)日:2024-08-20
申请号:US17371691
申请日:2021-07-09
Applicant: Leslie Sheridan
Inventor: Leslie Sheridan
IPC: G06Q10/0639 , G06Q30/018 , G06Q10/0637 , G06Q30/0201 , G06Q30/0214 , G06Q50/00 , G06Q50/20 , G06Q50/28
CPC classification number: G06Q10/0639 , G06Q30/018 , G06Q10/0637 , G06Q30/0201 , G06Q30/0214 , G06Q50/01 , G06Q50/205 , G06Q50/28
Abstract: Techniques are provided for receiving and processing vetting, criteria, and certification parameters of entities intending to offer sustainable products and services to compute climate impact measurement, rating, and badge elevation output parameters. The techniques further receive informational input parameters about the sustainable products and services to offer the sustainable products and services in the form of benefits, gifts, incentives, recognition, rewards, engagement, teambuilding, and training tools. The techniques further generate, monitor, and update purchasing funds and offering flows in response to purchases or offerings of the sustainable products and services. The techniques further monitor how each recipient of the sustainable products and services or of the offering of benefits, gifts, incentives, recognition, rewards, engagement, teambuilding, and training tools further shares sustainable products and services or of the offering of benefits, gifts, incentives, recognition, rewards, engagement, teambuilding, and training tools to contacts in their respective social or digital networks.
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公开(公告)号:US20240257021A1
公开(公告)日:2024-08-01
申请号:US18162239
申请日:2023-01-31
Applicant: Dell Products L.P.
IPC: G06Q10/0639 , G06Q10/0637 , G06Q10/067
CPC classification number: G06Q10/0639 , G06Q10/06375 , G06Q10/067
Abstract: A method and system for the prediction of and support readiness for future business intents. A current business intent may generally refer to information, respective to an organization user, which may pertain to or describe any historical and/or up-to-date engagement(s) of the organization user within and/or outside their organization. Said information may be reflected through a set of business intent parameters. A future business intent may specify predictions outlining a possible or potential evolution in one or more of said business intent parameters. Embodiments disclosed herein construct and employ a machine learning model to extrapolate future business intent(s), based on the current business intent, for an organization user; and pursues a readiness pipeline bridging the current business intent to any future business intent, thereby readying support that the organization user may rely upon should the organization user follow the predictions, specified by any future business intent, at some future point-in-time.
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公开(公告)号:US20240257011A1
公开(公告)日:2024-08-01
申请号:US18557552
申请日:2023-08-28
Applicant: State Grid Electric Power Research Institute In Shandong Province Power Company , State Grid Corporation Of China
Inventor: Chao ZHOU , Hui LIU , Jiafeng QIN , Xiaobin SUN , Ran JIA , Dandan LI , Bo GENG , Yang ZHANG , Rong LIU , Hao SHEN , Chuanbin LIU , Chuanwei YU , Jie YANG , Yingming CAI , Xingyan CHEN , Chengcheng GAO , Likun WEI
IPC: G06Q10/0635 , G06Q10/0639 , G06Q50/06
CPC classification number: G06Q10/0635 , G06Q10/0639 , G06Q50/06
Abstract: Provided is a risk assessment method for power transmission line windage yaw flashover. The method includes determining the influence factors of power transmission line windage yaw flashover and setting risk assessment indexes according to the influence factors (S101); generating the standard cloud of the risk assessment indexes according to the incident occurrence probabilities and the consequence levels of the risk assessment indexes (S103); scoring the influence factors according to the risk assessment indexes and generating the risk cloud of the risk assessment indexes according to scoring results (S105); and performing a two-dimensional similarity calculation on the risk cloud and the standard cloud to obtain two-dimensional similarity between the risk cloud and the standard cloud and determining the risk level of the power transmission line windage yaw flashover according to the two-dimensional similarity (S107).
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公开(公告)号:US12039426B2
公开(公告)日:2024-07-16
申请号:US18074336
申请日:2022-12-02
Applicant: Strong Force IoT Portfolio 2016, LLC
Inventor: Charles Howard Cella , Gerald William Duffy, Jr. , Jeffrey P. McGuckin , Mehul Desai
IPC: G06N3/02 , B62D15/02 , G01M13/028 , G01M13/04 , G01M13/045 , G05B13/02 , G05B19/042 , G05B19/418 , G05B23/02 , G06F17/18 , G06F18/21 , G06F18/25 , G06N3/006 , G06N3/044 , G06N3/045 , G06N3/047 , G06N3/084 , G06N3/088 , G06N5/046 , G06N7/01 , G06N20/00 , G06Q10/04 , G06Q10/0639 , G06Q30/02 , G06Q30/06 , G06Q50/00 , G06V10/778 , G06V10/82 , G16Z99/00 , H02M1/12 , H03M1/12 , H04B17/23 , H04B17/309 , H04B17/318 , H04B17/345 , H04L1/00 , H04L1/18 , H04L1/1867 , H04L67/1097 , H04L67/12 , H04W4/38 , H04W4/70 , B62D5/04 , G06N3/126 , H01B17/40 , H04B17/29 , H04B17/40 , H04L5/00 , H04L67/306
CPC classification number: G06N3/006 , B62D15/0215 , G01M13/028 , G01M13/04 , G01M13/045 , G05B13/028 , G05B19/4183 , G05B19/4184 , G05B19/41845 , G05B19/4185 , G05B19/41865 , G05B19/41875 , G05B23/0221 , G05B23/0229 , G05B23/024 , G05B23/0264 , G05B23/0283 , G05B23/0286 , G05B23/0289 , G05B23/0291 , G05B23/0294 , G05B23/0297 , G06F18/2178 , G06N3/02 , G06N3/044 , G06N3/045 , G06N3/047 , G06N3/084 , G06N3/088 , G06N5/046 , G06N7/01 , G06N20/00 , G06Q10/04 , G06Q10/0639 , G06Q30/02 , G06Q30/0278 , G06Q30/06 , G06Q50/00 , G06V10/7784 , G06V10/82 , G16Z99/00 , H02M1/12 , H03M1/12 , H04B17/23 , H04B17/309 , H04B17/318 , H04B17/345 , H04L1/0002 , H04L1/0041 , H04L1/18 , H04L1/1874 , H04L67/1097 , H04L67/12 , H04W4/38 , H04W4/70 , B62D5/0463 , G05B19/042 , G05B23/02 , G05B23/0208 , G05B2219/32287 , G05B2219/35001 , G05B2219/37337 , G05B2219/37351 , G05B2219/37434 , G05B2219/37537 , G05B2219/40115 , G05B2219/45004 , G05B2219/45129 , G06F17/18 , G06F18/21 , G06F18/217 , G06F18/25 , G06N3/126 , H01B17/40 , H04B17/29 , H04B17/40 , H04L1/0009 , H04L5/0064 , H04L67/306 , Y02P80/10 , Y02P90/02 , Y02P90/80 , Y04S50/00 , Y04S50/12 , Y10S707/99939
Abstract: Systems for self-organizing collection and storage in a distribution environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the distribution environment, wherein the sensor inputs sense at least one of an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system selected from a group consisting of a power system, a conveyor system, a robotic transport system, a robotic handling system, a packing system, a cold storage system, a hot storage system, a refrigeration system, a vacuum system, a hauling system, a lifting system, an inspection system, and a suspension system. A system may further include a self-organizing system for: a storage operation of the data, a data collection operation, or a selection operation.
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公开(公告)号:US20240220899A1
公开(公告)日:2024-07-04
申请号:US18401283
申请日:2023-12-29
Applicant: CodeTogether, Inc.
Inventor: Timothy Richard Webb , Wojciech Galanciak
IPC: G06Q10/0633 , G06Q10/0631 , G06Q10/0635 , G06Q10/0639
CPC classification number: G06Q10/0633 , G06Q10/06313 , G06Q10/0635 , G06Q10/0639
Abstract: A method for predicting progress of a code development project, comprising: monitoring behavior of a plurality of software developers through interaction with at least an integrated development environment; providing a predictive model of the code development project adapted to predict a future status of the code development project; and outputting a prediction dependent on a status of the code development project at a future time, the interaction comprising: exploration events comprising browsing source code for understanding or investigation; coding events comprising actively modifying source code; debugging events comprising interacting with a debugger stepping through code in a debugging phase; and testing events comprising coding or running unit tests and test automation.
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公开(公告)号:US12026757B2
公开(公告)日:2024-07-02
申请号:US17375428
申请日:2021-07-14
Applicant: Groupon, Inc.
Inventor: Brian Mullins , Matt DeLand , Zahra Ferdowsi , Stephen Lang , John Stokvis , Nolan Finn , Shafiq Shariff
IPC: G06Q30/0282 , G06N5/02 , G06N5/04 , G06N20/00 , G06N20/10 , G06Q10/0631 , G06Q10/0635 , G06Q10/0639 , G06Q10/067 , G06Q30/0201 , G06Q30/0202 , G06Q30/0601 , G06Q40/00
CPC classification number: G06Q30/0282 , G06N5/02 , G06N5/04 , G06N20/00 , G06N20/10 , G06Q10/06311 , G06Q10/06315 , G06Q10/0635 , G06Q10/0639 , G06Q10/06393 , G06Q10/067 , G06Q30/0201 , G06Q30/0202 , G06Q30/0609 , G06Q40/00
Abstract: A method, apparatus and computer program product are provided for calculating closing metrics regarding a contract between a promotion service and provider. A promotional system may calculate a probability of closing, and an estimated time to close. The promotion service may offer a promotion to consumers for a discounted product or service, to be honored by the provider. A category, lead source, historical data, stage in sales, and/or size of the provider may be used in calculating a probability of close and/or time to close. An example method may comprise supplying a classifying model with a dataset, wherein the dataset comprises an identification of a provider and attributes corresponding to the provider and identifying a class of the provider in accordance with the plurality of corresponding attributes, wherein the identification is determined based on one or more patterns determinative of a return rate by the classifying model.
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