Simplified identification of building anomalies with a single sensor
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Jul-2025 18:11 ET (29-Jul-2025 22:11 GMT/UTC)
Assistant Professor Daiki Tajiri and Professor Shozo Kawamura of the Machine Dynamics Laboratory, Technology Department of Mechanical Engineering, Toyohashi University have developed a simple method that identifies the rigidity deterioration of a building’s columns based on only the frequency response of force measured using an inertial shaker installed on the top floor of the building. This method enables the diagnosis of abnormalities in the entire building without requiring acceleration sensors and other equipment on multiple floors, as in the case of conventional methods; in fact, it requires only force sensors. The research results are published in the international academic journal Mechanical Systems and Signal Processing.
A groundbreaking new study co-authored by Dr. L. Andrew Lyon, founding dean of Chapman University's Fowler School of Engineering, introduces an AI-powered smartphone app that noninvasively screens for anemia using a photo of a user’s fingernail. Published in PNAS, the study shows the app provides hemoglobin estimates comparable to traditional lab tests, with over 1.4 million tests conducted by 200,000+ users.
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