Jian Zhou

ORCID: 0000-0001-9331-2502
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About
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Research Areas
  • Rock Mechanics and Modeling
  • Tunneling and Rock Mechanics
  • Mineral Processing and Grinding
  • Drilling and Well Engineering
  • Geotechnical Engineering and Analysis
  • Structural Response to Dynamic Loads
  • Geoscience and Mining Technology
  • Geotechnical Engineering and Underground Structures
  • Dam Engineering and Safety
  • Industrial Vision Systems and Defect Detection
  • Hydrocarbon exploration and reservoir analysis
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis
  • 3D Surveying and Cultural Heritage
  • Infrastructure Maintenance and Monitoring
  • Advanced Neural Network Applications
  • Optimal Power Flow Distribution
  • Machine Fault Diagnosis Techniques
  • Hand Gesture Recognition Systems
  • Handwritten Text Recognition Techniques
  • Circular RNAs in diseases
  • Structural Health Monitoring Techniques
  • Spectroscopy and Laser Applications
  • Cancer-related molecular mechanisms research
  • Power System Optimization and Stability

Shanghai Electric (China)
2020-2024

Central South University
2012-2024

China University of Petroleum, Beijing
2021-2023

Hunan Cancer Hospital
2022

Central China Normal University
2021

Tarim University
2021

Sinopec (China)
2021

Dalian University of Technology
2021

University of Science and Technology Beijing
2019

Wuhan University of Science and Technology
2019

For a typical surface automated visual inspection (AVI) instrument of planar materials, defect classification is an indispensable part after detection, which acts as crucial precondition for achieving the online quality end products. In industrial environment manufacturing flat steels, this task awfully difficult due to diverse appearances, ambiguous intraclass, and interclass distances. This article attempts present focused but systematic review traditional emerging computer-vision-based...

10.1109/tim.2020.3030167 article EN IEEE Transactions on Instrumentation and Measurement 2020-10-12

Due to the rapid industrialization and development of economy in each country, demand for energy is increasing rapidly. The coal mines have pace up mining operations with large production meet demand. This requirement has led underground go deeper more difficult conditions, especially hazards, such as deformations, rockburst, burst, roof collapse, name a few. Therefore, this study aims at investigating predicting stability roadways exploited by longwall method, using various novel...

10.1016/j.jrmge.2021.07.005 article EN cc-by-nc-nd Journal of Rock Mechanics and Geotechnical Engineering 2021-09-16

Temporal Action Segmentation (TAS) has achieved great success in many fields such as exercise rehabilitation, movie editing, etc. Currently, task-driven TAS is a central topic human action analysis. However, motion-centered TAS, an important topic, little researched due to unavailable datasets. In order explore more models and practical applications of we introduce Motion-Centered Figure Skating (MCFS) dataset this paper. Compared with existing temporal segmentation datasets, the MCFS...

10.1609/aaai.v35i3.16314 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2021-05-18

Frequency-based criteria for control of blasting vibrations require methods to predict both peak particle velocity and dominant frequency. In this study, based on the theory dynamics structures a mechanical model is built firstly derive vibration response cylindrical explosion source. According analysis, theoretical formula proposed frequency-dependent attenuation induced by With application dimensional mathematical relationship established between frequency its principal influencing...

10.1080/19648189.2019.1620134 article EN European Journal of Environmental and Civil engineering 2019-06-13

Abstract Assessing the stability of pillars in underground mines (especially deep mines) is a critical concern during both design and operational phases project. This study mainly focuses on developing two practical models to predict pillar status. For this purpose, robust were developed using database including 236 case histories from seven hard rock mines, based gene expression programming (GEP) decision tree‐support vector machine (DT‐SVM) hybrid algorithms. The performance was evaluated...

10.1002/dug2.12115 article EN cc-by Deep Underground Science and Engineering 2024-07-23

Abstract Endometrial cancer (EC) is a kind of gynecologic malignancy with rising incidence rate. This study aimed to explore the role VPS9D1 antisense RNA1 (VPS9D1‐AS1) in EC. The expression VPS9D1‐AS1, microRNA (miR)‐377‐3p, and serum glucocorticoid‐regulated kinase 1 (SGK1) was detected by Quantitative Real‐Time PCR (qRT‐PCR). Cell proliferation, invasion epithelial‐mesenchymal transition (EMT) were determined cell counting kit‐8 (CCK‐8), 5‐Ethynyl‐2′‐Deoxyuridine (EdU) transwell, western...

10.1002/kjm2.12606 article EN cc-by-nc-nd The Kaohsiung Journal of Medical Sciences 2022-10-17

Whether the oxygen content for medical glass vials can be measured accurately affects greatly ingredient stability of sterile pharmaceuticals. Tunable diode laser absorption spectroscopy (TDLAS/WMS) based on wavelength modulation has remarkable advantages non-contact, low cost, high sensitivity, real-time response, which shows great potential in field in-site concentration detection. Due to short optical path and various environmental disturbances, it is challenging measure headspace...

10.1016/j.ifacol.2020.12.644 article EN IFAC-PapersOnLine 2020-01-01

This paper proposes an efficient interference fringe suppression method for the oxygen concentration measurement system by adopting emerging machine learning techniques. First, interfered and interference-free signal datasets are generated on HITRAN molecular spectroscopic database after a transmission factor is considered in wavelength-modulation-based TDLAS (TDLAS/WMS) theory. Then, adaptive harmonic feeding generative adversarial network (AHFGAN) developed to deal with task of...

10.1109/jsen.2021.3133909 article EN IEEE Sensors Journal 2021-12-08

Since 20th century generation, image segmentation has been attached great importance by the people and thousands of algorithms have proposed. In practice, in order to facilitate research analysis images that often only needs be interested certain parts part is divided into a properties particular area, use target further, we also need complete for their separation. This paper integrates visual attention model propose novel algorithm based on saliency detection integrated feature extraction....

10.1109/cesys.2016.7889899 article EN 2016-10-01

In this paper, we present a novel 3D barcode preprocessing technique used in tracking the metallic honeycomb catalyst, which is part of automobile, on manufacturing process automatic detection. Because parts need identifying before and after routinely high-temperature heating treatment stage, information online system each stage varies largely together with big disturbance. Thus identify an industrial camera under auxiliary illumination. Firstly, applying method image histogram equalization...

10.1117/12.477212 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2002-07-26
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