Y
Yi Jin
Researcher at University of Science and Technology of China
Publications - 31
Citations - 312
Yi Jin is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: LAMOST & Cardinal point. The author has an hindex of 8, co-authored 31 publications receiving 223 citations.
Papers
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Journal ArticleDOI
Automatic Detection of Welding Defects using Deep Neural Network
TL;DR: An automatic detection schema including three stages for weld defects in x-ray images including three steps based on deep neural network is proposed to detect welded joints quality.
Journal ArticleDOI
Deep features based on a DCNN model for classifying imbalanced weld flaw types
TL;DR: This paper developed a model based on a deep convolutional neural network (DCNN) to extract the deep features directly from X-ray images, achieving an accuracy of 97.2%, which is considerably higher than that obtained using the traditional feature extraction methods.
Patent
Forging press machine operation condition information acquisition and analysis system based on the internet of things technology
TL;DR: In this article, a forging press machine operation condition information acquisition and analysis system based on the internet of things technology is presented, in which the operation condition analog quantity is obtained through a sensor; the forging press operation condition switching values are obtained through acquiring the PLC signal points; the information contents are processed by a data acquisition terminal interface circuit and then transmitted to processor chips of the data acquisition terminals, then the contents are transmitted to a cloud server through a GPRS communication module for the convenience of data sharing.
Proceedings ArticleDOI
The calibration and evaluation for laser tracker application in LAMOST site environment
TL;DR: The special calibration scheme for the laser tracker will be discussed, and the main models with the three producers have all compared in detail are compared, to improve the precision and stability of the laser Tracker measuring system in the LAMOST field environment.
Proceedings ArticleDOI
Preliminary Study on the Measurement System for LAMOST Small Focal Plane Fiber Positioning System
TL;DR: The realization of the measurement system based on CCD rotation is described and the average value of them is the final value in order to eliminate the imaging error and transformation error.