The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 16, 2023
Filed:
Feb. 02, 2021
Nec Laboratories America, Inc., Princeton, NJ (US);
Yanchi Liu, Monmouth Junction, NJ (US);
Jingchao Ni, Princeton, NJ (US);
Bo Zong, West Windsor, NJ (US);
Haifeng Chen, West Windsor, NJ (US);
Zhengzhang Chen, Princeton Junction, NJ (US);
Wei Cheng, Princeton Junction, NJ (US);
Denghui Zhang, Urbana, IL (US);
NEC Corporation, Tokyo, JP;
Abstract
A method for employing a unified semi-supervised deep learning (DL) framework for turbulence forecasting is presented. The method includes extracting historical and forecasted weather features of a spatial region, calculating turbulence indexes to fill feature cubes, each feature cube representing a grid-based 3D region, and building an encoder-decoder framework based on convolutional long short-term memory (ConvLSTM) to model spatio-temporal correlations or patterns causing turbulence. The method further includes employing a dual label guessing component to dynamically integrate complementary signals from a turbulence forecasting network and a turbulence detection network to generate pseudo-labels, reweighing the generated pseudo-labels by a heuristic label quality detector based on KL-Divergence, applying a hybrid loss function to predict turbulence conditions, and generating a turbulence dataset including the predicted turbulence conditions.