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公开(公告)号:US12086917B2
公开(公告)日:2024-09-10
申请号:US17153779
申请日:2021-01-20
申请人: Baobab Studios Inc.
发明人: Nathaniel Christopher Dirksen , Michael Scott Hutchinson , Eric Richard Darnell , Lawrence David Cutler , Daniel Tomas Steamer , Apostolos Lerios
IPC分类号: G06T15/00 , G06F17/16 , G06F18/2135 , G06F18/23213 , G06T9/00 , G06T13/20 , G06T13/40 , G06T15/04 , G06T17/05 , G06T17/20 , G06T19/00 , G06T19/20 , G06V10/762 , G06V10/77 , G10L19/038 , H04L65/4053 , H04N19/124 , H04N19/46 , H04N19/463 , G10L19/00
CPC分类号: G06T13/40 , G06F17/16 , G06F18/2135 , G06F18/23213 , G06T9/001 , G06T13/20 , G06T15/04 , G06T17/05 , G06T17/20 , G06T19/003 , G06T19/006 , G06T19/20 , G06V10/763 , G06V10/7715 , G10L19/038 , H04L65/4053 , H04N19/124 , H04N19/46 , H04N19/463 , G06T2210/12 , G06T2219/2021 , G10L19/00
摘要: Systems, methods, and non-transitory computer-readable media can identify a virtual character being presented to a user within a real-time immersive environment. A first animation to be applied to the virtual character is determined. A nonverbal communication animation to be applied to the virtual character simultaneously with the first animation is determined. The virtual character is animated in real-time based on the first animation and the nonverbal communication animation.
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公开(公告)号:US12052371B2
公开(公告)日:2024-07-30
申请号:US17197849
申请日:2021-03-10
IPC分类号: H04L9/32 , G06F18/2135 , G06F18/22 , H04L9/30 , H04L12/40 , H04L43/0817
CPC分类号: H04L9/3242 , G06F18/21355 , G06F18/22 , H04L9/3066 , H04L12/40013 , H04L43/0817 , H04L2012/40215 , H04L2012/40273 , H04L2209/84
摘要: A method for monitoring operation of a controller area network (CAN) comprising a plurality of nodes. The method comprises measuring a voltage associated with a CAN message transmitted on the network, determining a message signature in dependence on the measured voltage, and comparing the message signature with a node signature to determine the authenticity of the CAN message. One or more actions may be taken in dependence on the determined authenticity.
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公开(公告)号:US12033162B2
公开(公告)日:2024-07-09
申请号:US17500614
申请日:2021-10-13
申请人: FMR LLC
发明人: Ankush Chopra , Debasis Bal , Sohom Ghosh
IPC分类号: G06Q30/01 , G06F18/2135 , G06F18/22 , G06F40/284 , G06N3/044 , G06N3/08 , G06Q30/016
CPC分类号: G06Q30/016 , G06F18/21355 , G06F18/22 , G06F40/284 , G06N3/044 , G06N3/08
摘要: Methods and apparatuses are described for automated analysis of customer interaction text to generate customer intent information and a hierarchy of customer issues. A server captures computer text segments including a first portion comprising a transcript of an interaction and a second portion comprising notes about the interaction. The server generates interaction embeddings corresponding to the first portion of the computer text segment for a trained neural network. The server executes the neural network using the interaction embeddings to generate an interaction summary for each computer text segment. The server converts each interaction summary into a multidimensional vector and aggregates the multidimensional vectors into clusters based upon a similarity measure. The server aligns the clusters of vectors with attributes of the interaction summaries to generate a hierarchical mapping of customer issues.
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公开(公告)号:US20240135137A1
公开(公告)日:2024-04-25
申请号:US18068743
申请日:2022-12-20
发明人: Ying WANG , Huigong NIU , Zhengqiu LIU
IPC分类号: G06N3/006 , G06F18/2135 , G06F18/2337 , G06F18/2411 , G06F18/27
CPC分类号: G06N3/006 , G06F18/2135 , G06F18/2337 , G06F18/2411 , G06F18/27
摘要: Provided is a method and system for predicting a height of a confined water rising zone. The method includes: obtaining sample data; dividing the sample data into a training sample and a test sample; calculating a degree of correlation between a height and a correlation factor value sequence; screening correlation factors according to the degree of correlation to obtain screened correlation factors; calculating weights of the screened correlation factors using an entropy weight method (EWM); obtaining standardized screened correlation factor value sequences according to correlation factor value sequences corresponding to the screened correlation factors; calculating a value of each indicator according to the standardized screened correlation factor value sequences and the weights; and obtaining a height prediction model of a confined water rising zone based on principal component analysis (PCA)-particle swarm optimization (PSO)-support vector regression (SVR), the value of each indicator, and the test sample.
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公开(公告)号:US11941857B2
公开(公告)日:2024-03-26
申请号:US17324819
申请日:2021-05-19
申请人: HI LLC
IPC分类号: G06V10/14 , G02B27/01 , G06F18/10 , G06F18/2132 , G06F18/2135 , G06V10/141 , G06V10/147 , G06V10/50 , G06V10/75
CPC分类号: G06V10/141 , G02B27/0172 , G06F18/10 , G06F18/2132 , G06F18/2135 , G06V10/14 , G06V10/147 , G06V10/507 , G06V10/76 , G02B2027/014
摘要: An illustrative method includes accessing, by a computing device, a model simulating light scattered by a simulated target, the model comprising a plurality of parameters. The method further includes generating, by the computing device, a set of possible histogram data using the model with a plurality of values for the parameters. The method further includes determining, by the computing device, a set of components that represent the set of possible histogram data, the set of components having a reduced dimensionality from the set of possible histogram data.
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公开(公告)号:US11899747B2
公开(公告)日:2024-02-13
申请号:US17333490
申请日:2021-05-28
IPC分类号: G06F18/10 , G06N20/00 , G06N5/02 , G06F18/214 , G06F18/2135
CPC分类号: G06F18/10 , G06F18/2135 , G06F18/2148 , G06N5/027 , G06N20/00
摘要: Various embodiments are generally directed to techniques for embedding a data object into a multidimensional frame, such as for training an autoencoder to generate latent space representations of the data object based on the multidimensional frame, for instance. Additionally, in one or more embodiments latent space representations of data objects may be classified, such as with a machine learning algorithm. Some embodiments are particularly directed to embedding a data object comprising a plurality of object entries into a three-dimensional (3D) frame.
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公开(公告)号:US11892345B2
公开(公告)日:2024-02-06
申请号:US17418459
申请日:2019-12-25
申请人: NEUBREX CO., LTD.
发明人: Feng Xie , Hongliang Cong , Guidong Li , Xiaohui Hu , Longhai Xu
IPC分类号: G01H9/00 , G06N20/10 , G06F18/22 , G06F18/214 , G06F18/2135 , G06F18/2413 , G06F18/243 , G06N5/01
CPC分类号: G01H9/004 , G06F18/214 , G06F18/2135 , G06F18/22 , G06F18/24137 , G06F18/24323 , G06N5/01 , G06N20/10
摘要: A method for detecting and specifying a vibration on the basis of a feature of a fiber-optic signal to determine a time and a spatial location of the present invention includes: Step 1 of acquiring a feature-expanded function vector and C-number of vibration categories by expanding a feature of initial data of a vibration signal from a distributed fiber-optic sensor; Step 2 of calculating a dimensionality reduction matrix based on the feature-expanded function vector; Step 3 of acquiring a dimensionality-reduced feature function by operating the dimensionality reduction matrix to the initial data and the feature-expanded function vector; Step 4 of acquiring a primary classification result of the vibration signal by performing a classification with reference to primary classification parameter acquired from a parameter database; and Step 5 of acquiring and outputting a secondary classification result of the vibration signal by performing removal of a wrong detection result and correction of a wrong classification result of the primary classification result.
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公开(公告)号:US11875477B2
公开(公告)日:2024-01-16
申请号:US17354188
申请日:2021-06-22
发明人: Chih-Wei Wang , Chuan-Lin Lai , Chia-Chen Kuo , I-Chen Wu
IPC分类号: G06T5/00 , G06T7/00 , G06F18/2135
CPC分类号: G06T5/001 , G06F18/2135 , G06T7/0002 , G06T2207/10024 , G06T2207/10028 , G06T2207/20021 , G06T2207/30168
摘要: A method for correcting abnormal point cloud is disclosed. Firstly, receiving a Primitive Point Cloud Data set by an operation unit for dividing a point cloud array into a plurality of sub-point cloud sets and obtaining a plurality of corresponding distribution feature data according to an original vector data of the Primitive Point Cloud Data set. Furthermore, recognizing the sub-point cloud sets according to the corresponding distribution feature data for correcting recognized abnormal point cloud. Thus, when the point cloud array is rendered to a corresponding image, the color defect of the point cloud array will be improved or decreased for obtaining lossless of the corresponding image.
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公开(公告)号:US11875459B2
公开(公告)日:2024-01-16
申请号:US17223393
申请日:2021-04-06
IPC分类号: G06T7/62 , G06F18/2135 , G06T19/00 , G06T7/00
CPC分类号: G06T19/00 , G06F18/21355 , G06T7/0012 , G06T7/62 , G06T2207/30064
摘要: A method for analyzing an anatomical structure of a patient may include the steps of receiving volumetric scan data representative of one or more features of an anatomical structure; mapping the features to a node tree diagram; and displaying the node tree diagram. The features can comprise branching points, pathways connecting the branching points, and location data of the branching points and pathways. The node tree diagram may comprise a plurality of nodes and branches representing the branching points and pathways in the anatomical structure, respectively. The plurality of nodes may comprise a root node representing a root branching point as well as additional nodes representing additional branching points. Additionally, the node tree diagram may comprise a first set of one or more regions, wherein each region encompasses a respective portion of the node tree diagram and is representative of a defined portion of the anatomical structure.
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公开(公告)号:US11868432B1
公开(公告)日:2024-01-09
申请号:US18204973
申请日:2023-06-02
申请人: SICHUAN UNIVERSITY
发明人: Wu Zhao , Xin Guo , Miao Yu , Kai Zhang , Wei Jiang , Chong Jiang , Bing Lai , Yiwei Jiang , Jun Li , Bo Wu , Xingyu Chen
IPC分类号: G06F40/00 , G06F18/2135 , G06F17/16
CPC分类号: G06F18/2135 , G06F17/16
摘要: A method for extracting a kansei adjective of a product based on principal component analysis and explanation (PCA-E) includes constructing a product kansei evaluation vector matrix through original kansei adjectives; performing dimensionality reduction through PCA; and determining, based on principal component load factors, kansei adjectives representing principal components. In this way, the kansei adjectives extracted are explanatory to help users understand the selected kansei adjectives and make accurate evaluation.
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