Yujue Zhou

ORCID: 0000-0003-3990-5408
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About
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Research Areas
  • Concrete Corrosion and Durability
  • Structural Behavior of Reinforced Concrete
  • Infrastructure Maintenance and Monitoring
  • Smart Materials for Construction
  • Corrosion Behavior and Inhibition
  • Ultrasonics and Acoustic Wave Propagation
  • Non-Destructive Testing Techniques
  • Structural Health Monitoring Techniques
  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Flood Risk Assessment and Management
  • Hydrological Forecasting Using AI
  • Water Systems and Optimization
  • Time Series Analysis and Forecasting
  • Distributed and Parallel Computing Systems
  • Digital and Cyber Forensics
  • Radiology practices and education
  • Quantum Mechanics and Applications
  • Data Quality and Management
  • COVID-19 diagnosis using AI
  • Domain Adaptation and Few-Shot Learning
  • Data Stream Mining Techniques
  • Advanced Technologies in Various Fields
  • Structural Response to Dynamic Loads
  • Emotion and Mood Recognition

Yunnan University
2023-2025

Tongji University
2018-2023

Sanming University
2021-2023

University of Warwick
2018-2022

Southern University of Science and Technology
2021-2022

Institute of Modern Physics
2018

Zhejiang University
2018

Hohai University
2015-2017

10.1109/icassp49660.2025.10889512 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

This study presents a damage pattern recognition approach for corroded steel beams strengthened by CFRP anchorage system based on acoustic emission clustering analysis. The proposed method includes four steps: signal acquisition, feature extraction, analysis, and recognition. Four with different corrosion levels strengthening schemes were tested under four-point bending loading. signals collected during the loading process analyzed using Gaussian mixture model method. results showed that AE...

10.1016/j.conbuildmat.2023.133474 article EN cc-by Construction and Building Materials 2023-09-25

Device fingerprints like sensor pattern noise (SPN) are widely used for provenance analysis and image authentication. Over the past few years, rapid advancement in digital photography has greatly reshaped pipeline of capturing process on consumer-level mobile devices. The flexibility camera parameter settings emergence multi-frame algorithms, especially high dynamic range (HDR) imaging, bring new challenges to device fingerprinting. subsequent study these topics requires a purposefully built...

10.1109/icme46284.2020.9102783 article EN 2022 IEEE International Conference on Multimedia and Expo (ICME) 2020-06-09

We report test results from an experimental study to investigate the effectiveness of carbon fiber-reinforced polymer (CFRP) against reinforcing steel bar corrosion. Twelve reinforced-concrete pile specimens 180 mm square by 1,600 long were cast. Three corroded 5% mass loss and then strengthened with CFRP sheets; four using sheets, whereas remaining five not strengthened. The placed in a simulated marine environment, corrosion was induced impressed current technique. At different theoretical...

10.1155/2017/7185452 article EN cc-by Advances in Materials Science and Engineering 2017-01-01

The corrosion damage of pile foundations caused by a hygrothermal environment is significant factor that influences the service life high‐pile wharf structures. concrete‐filled CFRP‐steel tube (CFRP‐CFST) composite structure composed external Carbon Fiber‐Reinforced Polymer (CFRP) sheets and inner steel tubes. It has high‐bearing capacity excellent resistance an ideal for in aggressive environments. In this paper, twelve CFRP‐CFST specimens with diameters 114 mm heights 1200 another...

10.1155/2020/4849038 article EN cc-by Advances in Materials Science and Engineering 2020-01-01

Missing values are a common problem of time series such as sensor-generated data due to issues collection, transmission, and storage. To deal with this problem, various imputation methods have been proposed. Among these methods, variants recurrent neural networks (RNNs) attracted lot attention they provide natural representation temporal dynamics. Though shown achieve higher accuracy, mostly focus on the modeling dynamics from short-term perspective while ignoring long-term features trend...

10.1109/jsen.2021.3107836 article EN IEEE Sensors Journal 2021-08-25

This paper presents the test results of reinforced-concrete (RC) slabs strengthened with carbon-fibre-reinforced polymer (CFRP) sheets and exposed to a corrosive environment. Nine slab specimens (1500 × 700 100 mm) were constructed subjected accelerated corrosion exposure. Test variables included clear concrete cover (10, 25 40 mm), longitudinal reinforcing bar diameter (8, 10 12 different degrees corrosion. The corresponding current cracks continually monitored throughout process. A...

10.1680/stbu.14.00105 article EN Proceedings of the Institution of Civil Engineers - Structures and Buildings 2015-07-25

The number of natural gas users has been growing rapidly in China due to the promotion clean energy and economic benefits gas, especially businesses industries. Though infrastructures for supplies have highly improved, providers are still suffering from various problems such as malfunctioning meters, leakage, theft etc. With development Internet Things, smart meters widely adopted by collect real-time consumption data billing purposes which can also serve a basis anomaly detection. One...

10.1109/jiot.2023.3296538 article EN IEEE Internet of Things Journal 2023-07-18

Abstract An experiment study was conducted to assess the effectiveness of acoustic emission (AE) technique monitoring corrosion-induced damage in marine environment. Three reinforced concrete (RC) piles 1600 mm long by 200 square were casted and then exposed a simulated environment reach 5%, 10% 20% steel rebar mass loss respectively. Throughout whole test period, all specimen monitored three AE sensors installed at two different heights surface end rebar, The activities analyzed determine...

10.1088/1755-1315/304/5/052112 article EN IOP Conference Series Earth and Environmental Science 2019-09-01

The All-Pairs Shortest Paths (APSP) is a fundamental graph problem aiming to find the shortest path between any two nodes in graph. In this paper, new method presented solve APSP for big graphs on distributed systems. method, partitioned judiciously and then processed parallel. particular, first pre-processed prepare partition computation stages. After into smaller sub-graphs, traditional algorithm, such as Floyd-Warshall algorithm or Dijkstra's can be used each sub-graph. Finally, through...

10.1109/ipccc47392.2019.8958713 article EN 2019-10-01

Abstract This paper presents an experimental study of reinforced concrete beams strengthened with CFRP laminates and anchored carbon fibre anchors under monotonic static cyclic loading. To gain full advantage externally bonded technique, it is important to avoid premature debonding the laminates, have potential prevent this happening by transferring stress from steel reinforcement laminates. In study, tests were conducted investigate fatigue behaviour identify strengthening effects various...

10.1088/1755-1315/304/3/032080 article EN IOP Conference Series Earth and Environmental Science 2019-09-01

Large-scale sensitive information leakage incidents have occurred frequently, causing huge impacts and losses to individuals, enterprises, society. Most exists in unstructured data, making it challenging for people identify when is leaked, an important cause of leakage. Therefore, identification from data has received extensive attention. In addition, the smallest unit Chinese a character, so its lexical boundary flexible, which makes very difficult Chinese. It worth mentioning that there...

10.1109/icac55051.2022.9911164 article EN 2022 27th International Conference on Automation and Computing (ICAC) 2022-09-01

This study presents a damage pattern recognition approach for corroded steel beams strengthened by CFRP anchorage system based on acoustic emission clustering analysis. The proposed method includes four steps: signal acquisition, feature extraction, analysis, and recognition. Four with different corrosion levels strengthening schemes were tested under four-point bending loading. signals collected during the loading process analyzed using Gaussian mixture model method. results showed that AE...

10.2139/ssrn.4525275 preprint EN 2023-01-01
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