Search Results - structural+health+monitoring

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Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...
Published: 7/25/2025   |   Inventor(s): Aydogan Ozcan, Ertugrul Taciroglu, Yuntian Wang, Yuhang Li
Keywords(s): 3D structures, Adaptive Optics, AI-generated images and content, all-optical diffractive computing, all-optical transformation, analog computing, analog optical computing, Analogue Electronics, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, civil engineering, civil infrastructure, civil monitoring, computational imaging, computational imaging task, Construction, deep diffractive network, Diffraction, diffractive design, diffractive image reconstruction, diffractive network, diffractive processor, diffractive surface, digital image reconstruction, electromagnetic spectrum, Electro-Optics, Image Analysis, Image Processing, Image Resolution, image restoration, image signal processing, Imaging, Infrastructure, Lens (Optics), linear optics, Nanostructure, optical processor, optically-guided structural monitoring, Optics, passive light-matter interactions, security imaging, Signal Reconstruction, Structural health monitoring, structural health monitoring (SHM), structure monitoring, Structures
Category(s): Electrical, Electrical > Signal Processing, Electrical > Imaging, Materials, Materials > Construction Materials, Electrical > Visual Computing, Electrical > Computing Hardware, Electrical > Instrumentation, Energy & Environment, Energy & Environment > Energy Efficiency, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Programs
2023-131 A Method for Video Motion Detection, Segmentation, and Compression
Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a new computationally efficient algorithm that detects and tracks motion in videos. Background: Computer vision and video processing have many applications in visual security and surveillance such as people counting, action recognition, anomaly detection,...
Published: 2/14/2025   |   Inventor(s): Bahram Jalali, Yiming Zhou, Callen MacPhee
Keywords(s): Autonomous driving, computational imaging, Computer Monitor, Computer Security, Computer Vision, computer vision algorithm, Computer-Aided Design, data Compression, Data Recovery, Energy Security , event detection, Human tracking, Image Analysis, image and video enhancement, Image Processing, image restoration, Liquid tracking, Metal process monitoring, motion detection, object recognition, real-time sensing/monitoring/tracking, security, Security and defense, security imaging, Structural health monitoring, Vibration monitoring, Vibration sensing, video pre-processing, video processing, visual security and surveillance
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Security & Privacy, Software & Algorithms > Programs
AI method-apparatus for extracting crack-length from high-frequency AE signals
Reference #: 01536 The University of South Carolina is offering licensing opportunities for AI method-apparatus for extracting crack-length from high-frequency AE signals Background: In metallic structures, fatigue cracks are inevitable and need to be detected and quantified. However, the crack length information is hard to be estimated. It is imperative...
Published: 7/21/2025   |   Inventor(s): Victor Giurgiutiu, Hanfei Mei, Joseph Garrett, Kimberly Cardillo
Keywords(s): acoustic emission, artificial intelligence, crack length, fatigue crack growth, finite element simulation, machine learning, standing wave, structural health monitoring
Category(s): Engineering and Physical Sciences
Acoustic Emission Method to Ascertain Damage Occurrence in Impacted Composites
Reference #: 01448 The University of South Carolina is offering licensing opportunities for Acoustic emission method to ascertain damage occurrence in impacted composites Background: In CFRP composites manufacturing flaws and operational damage are inevitable and need to be detected for quality assurance. In-service damage of CFRP structures is also...
Published: 5/15/2024   |   Inventor(s): Victor Giurgiutiu, Robin James, Roshan Joseph
Keywords(s): acoustic emission, carbon fiber reinforced polymer (CFRP), composite structures, damage detection, impact damage, structural health monitoring
Category(s): Engineering and Physical Sciences
Angle-Beam Guided Waves for Composite-Damage Identification and Monitoring
Reference #: 01446 The University of South Carolina is offering licensing opportunities for Angle-beam guided waves for composite-damage identification and monitoring Background: In composites, manufacturing flaws and operational damage are inevitable and need to be detected for quality assurance. In-service damage of composite structures is also...
Published: 6/12/2024   |   Inventor(s): Victor Giurgiutiu, Robin James, Hanfei Mei, Mohammad Haider
Keywords(s): angle beam transducer, carbon fiber reinforced polymer (CFRP), damage detection, delamination, guided waves, impact damage, phased array transducer, structural health monitoring
Category(s): Engineering and Physical Sciences