公开(公告)号：US20210373510A1

公开(公告)日：2021-12-02

申请号：US16885968

申请日：2020-05-28

Applicant: Johnson Controls Technology Company

Inventor： Surajit Borah ,  Santle Camilus ,  ZhongYi Jin ,  Vish Ramamurti ,  Young M. Lee

IPC: G05B13/02 ,  G06N3/04 ,  G06F40/30 ,  G05B13/04

Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

公开(公告)号：US10713541B2

公开(公告)日：2020-07-14

申请号：US16125994

申请日：2018-09-10

Applicant: Johnson Controls Technology Company

Inventor： ZhongYi Jin ,  Young M. Lee ,  Youngchoon Park

IPC: G06K9/62 ,  G06N3/08

Abstract: A method for classifying an occluded object includes receiving, by one or more processing circuits, an image of the object that is partially occluded by a foreign object and classifying, by the one or more processing circuits, the object of the image into one of one or more classes of interest via an artificial neural network (ANN) by determining a plurality of neuron activations of neurons of the ANN for one or more foreign classes and the one or more classes of interest, subtracting one or more of the neuron activations of the one or more foreign classes from the neuron activations of the one or more classes of interest, wherein the foreign object belongs to one of the one or more foreign classes, and classifying the object of the image into the one of the one or more classes of interest based on the subtracting.