Search Results - siteng+chen

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SNMF – An On-the-Fly, Multi-Filament Single-Nozzle for 3D Printing
A printing system with a single nozzle/printhead that can dispense multiple materials in a controlled manner. Problem: Multi-material additive manufacturing transcends the limitations of traditional manufacturing processes by allowing the fabrication of complex, functionally graded components with tailored material properties. However, limitations remain...
Published: 8/26/2024   |   Inventor(s): Masoud Akbarzadeh, Teng Teng, Yefan Zhi
Keywords(s):  
Category(s): Technology Classifications > Design and Multimedia, Technology Classifications > Hardware & Components, Technology Classifications > Materials
Deep Learning Algorithm for Detection of Cortical Arousal During Sleep
This invention is an end-to-end deep learning algorithm to detect cortical arousals during sleep using a one-night single lead electrocardiogram (ECG) signal. It is used to accurately detect arousal in home sleep tests, by reducing the false negative rate. The model combines both convolutional neural networks (CNN) and recurrent neural networks (RNN). Background: Sleep...
Published: 8/23/2024   |   Inventor(s): Ao Li, Siteng Chen, Stuart Quan, Linda Powers, Janet Roveda
Keywords(s):  
Category(s): Technology Classifications > Healthcare Portfolios > Sleep Disorders, Technology Classifications > Software & Information Technology > Health IT
Novel Multi-Omics Aging Clock
­A multi-omics clock analyzes multiple layers of omics data with machine learning to predict remaining lifespan of mammals, particularly for animal model studies. Large omics data sets may be used from combinations of genomics, proteomics, lipids, etc. available from blood or other simple sample collection. This tool can robustly capture changes...
Published: 3/12/2024   |   Inventor(s): George Sutphin, Samuel Freitas, Megha Padi, Chen Chen
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Category(s): Technology Classifications > Life Sciences > Biomarkers, Technology Classifications > Research Tools > Animal Models, Technology Classifications > Research Tools > Screening assays, Technology Classifications > Research Tools > Simulators and Modeling Tools
Autonomous Drone for railroad track inspection
Reference #: 01564 The University of South Carolina is offering licensing opportunities for Autonomous Drone for railroad track inspection Background: The current practices suffer from three main drawbacks: 1) Human pilot cost is significant. The schedule of the drone-based track inspection is contingent on the pilot’s availability rather than...
Published: 3/15/2023   |   Inventor(s): Yu Qian, Yi Wang, Chen Chen
Keywords(s): autonomous drone, flight control, image processing, railroad track inspection, self-navigation
Category(s): Engineering and Physical Sciences
2015-671 Underground Shafts for Hydrogen Storage
SummaryResearchers at UCLA have developed an underground drilled shaft concept for storage of hydrogen or other gases.BackgroundOne challenge in creating a hydrogen economy is developing hydrogen gas storage solutions. Increased interest has helped the global hydrogen storage market grow to $2.6 billion in 2016, and it is expected to reach over $5...
Published: 7/19/2023   |   Inventor(s): Adrienne Lavine, Hossein Kavehpour, Dante Simonetti, Richard Wirz, Chen Chen, Gabriela Bran, Gopinath Warrier, Hamarz Aryafar, Jonathon Kennedy, Joshua Jordan, Keith Lovegrove
Keywords(s): Energy & Water
Category(s): Energy & Environment > Energy Generation > Solar, Energy & Environment > Energy Storage
Deep Learning Based PV Cell System Design
This technology focuses on enhancement of current photovoltaic (PV) cells to optimize the overall system output of solar electricity. This technology uses a microprocessor based algorithm to monitor PV output in real-time to assist in reconfiguration of PV filters, converters, and inverters parameters for optimal PV cell system performance. Background:...
Published: 4/3/2023   |   Inventor(s): Janet Roveda, Siteng Chen
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Category(s): Technology Classifications > Energy, Cleantech & Environmental > Renewable Energy > Solar/Photovoltaic, Technology Classifications > Software & Information Technology > Manufacturing