Jinjun Guo

dblp:128/0295 · DBLP profile ↗
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4ranked-venue papers
0as first author
3since 2021 · last 2026
0000-0002-9408-8482ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 3 since 2021Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
YearPublicationVenuePosition
2026 Considering the spatiotemporal association characteristics of multiple monitoring points: A deformation prediction framework for high arch dams during the initial operation period
Liuyang Li, Qinghe Lu, Caiyu Liu, Jinjun Guo, Xiaosong Shu, Bo Li 0152, Chongshi Gu
Adv. Eng. Informatics5
2025 Considering integrated information on environmental features and neighborhood deformation: A missing value filling framework for arch dam deformation sequence
Yajian Liu, Xiangqian Fan, Chongshi Gu, Jinjun Guo, Bo Li 0152, Shaowei Hu
Adv. Eng. Informatics6
2023 A feature decomposition-based deep transfer learning framework for concrete dam deformation prediction with observational insufficiency
Shaowei Hu, Chongshi Gu, Jinjun Guo, Xiangnan Qin
Adv. Eng. Informatics5
2012 Design, simulation and experiment of a novel mass detection system with active control magnetic
abstract
It is presented in this paper an active magnetic levitation system used for the nanogram detection in biomedical domain. The design, simulation and levitation experiment are presented in detail. The device is composed of three parts: planar coil electro magnetic (EM) as lower stator, permanent magnetic (PM) as rotor and capacitance plate as lower stator. The levitation force versus displacement is analyzed by Ansys software and the air damping coefficient is also calculated. A dynamic model of levitation control is build to select control parameter and explain the experimental measurement. The stiffness versus frequency is analyzed. Experimental results of initial levitation, square wave response and sine wave sweep frequency response are presented and discussed. Preliminary measurements indicate that the response time for initial levitation is 0.2s, and the control current is 0.17A when the levitation height is 1mm. The quick-response performance is in agreement with the dynamic simulation by Matlab/Simulink. From sweep frequency experiment, it can be seen that when the levitation height is 1mm, the resonant frequency is 27.34Hz. The relationship between minimum detectable mass and frequency has been got. At last, the prospective MEMS design is proposed, which is applicable for the cancer cell weight detection.
Qijun Xiao, Chaoyin Liu, Shengyong Li, Hungsun Son, Jinjun Guo
ICARCV5