Jiaming Lei

ORCID: 0009-0007-8440-1141
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Research Areas
  • Advanced Sensor Technologies Research
  • Calibration and Measurement Techniques
  • Scientific Measurement and Uncertainty Evaluation
  • Gas Sensing Nanomaterials and Sensors
  • Electrical and Thermal Properties of Materials
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced Neural Network Applications
  • Autonomous Vehicle Technology and Safety
  • Flow Measurement and Analysis
  • Heat Transfer and Optimization
  • Robotics and Sensor-Based Localization
  • Visual Attention and Saliency Detection
  • Phytochemical and Pharmacological Studies
  • Microwave Imaging and Scattering Analysis
  • Infrared Target Detection Methodologies
  • Thermal Radiation and Cooling Technologies
  • Geophysical Methods and Applications
  • Advanced SAR Imaging Techniques
  • Integrated Energy Systems Optimization
  • Medicinal plant effects and applications
  • Heat Transfer Mechanisms
  • Nanofluid Flow and Heat Transfer
  • Heat Transfer and Boiling Studies
  • Advanced Thermoelectric Materials and Devices
  • Sensor Technology and Measurement Systems

Xi'an Jiaotong University
2021-2024

Hubei University of Science and Technology
2024

Fujian Institute of Research on the Structure of Matter
2022-2023

Chinese Academy of Sciences
2022-2023

Fuzhou University
2022

Guangxi University
2022

Abstract Flexible temperature sensors have been extensively investigated due to their prospect of wide application in various flexible electronic products. However, most the current only work well a narrow range, with at high or low temperatures still being big challenge. This proposes thermocouple sensor based on aerogel blanket substrate, temperature-sensitive layer which uses screen-printing technology prepare indium oxide and tin oxide. It has good sensitivity, test sensitivity reaching...

10.1088/2631-7990/aca44d article EN cc-by International Journal of Extreme Manufacturing 2022-11-29

Isorhamnetin (ISO) is a phenolic compound belonging to flavonoid family, showcasing important in vitro pharmacological activities such as antitumor, anti-inflammation, and organ protection. ISO predominantly extracted from Hippophae rhamnoides L . This plant well-known China abroad because of its “medicinal food homologous” characteristics. As noteworthy natural drug candidate, has received considerable attention recent years owing low cost, wide availability, high efficacy, toxicity,...

10.3389/fphar.2024.1309178 article EN cc-by Frontiers in Pharmacology 2024-04-08

Thin-Film Thermocouples (TFTCs) are characterized by their high spatial resolutions, low cost, efficiency and interference on the air flow. However, thermal stability of TFTCs should be further improved for application since accuracy is influenced joule heat temperature time drift. In this paper, 3D molecular dynamics finite element analysis used structural design. The effects RF magnetron sputtering power gas flow rate conductivity drift (DT) tungsten-rhenium (95% W/5% Re vs. 74% W/26% Re)...

10.3390/nano12071120 article EN cc-by Nanomaterials 2022-03-28

In this study, thin-film thermocouples (TFTCs) were combined with a smart bolt to design that can directly test high temperature in service monitoring and parameter calculation for gas turbine structure design. The first-principles was used analyze the of surface properties nickel-based alloys insulating layers, finite element analysis optimize dimension parameters by controlling thermal stress matching layers sensitive layers. effect glass powder different particle sizes on microstructure...

10.3390/chemosensors10090347 article EN cc-by Chemosensors 2022-08-23

With the growing demand for thermal management of electronic devices, cooling high-precision instruments, and biological cryopreservation, heat flux measurement complex surfaces at ultralow temperatures has become highly imperative. However, current sensors (HFSs) are commonly used in high-temperature scenarios have problems when applied low-temperature conditions, such as low sensitivity embrittlement. In this study, we developed a flexible sensitive HFS that can operate to high...

10.1038/s41378-023-00599-9 article EN cc-by Microsystems & Nanoengineering 2023-10-24

Outdoor 3D object detection has played an essential role in the environment perception of autonomous driving. In complicated traffic situations, precise recognition provides indispensable information for prediction and planning dynamic system, improving self-driving safety reliability. However, with vehicle's veering, constant rotation surrounding scenario makes a challenge systems. Yet most existing methods have not focused on alleviating accuracy impairment brought by rotation, especially...

10.1109/icra48891.2023.10161353 article EN 2023-05-29

In this work, indium tin oxide (ITO)/indium (In2O3) thin film thermocouples (TFTCs) were prepared based on screen printing technology for high temperature measurement. With terpilenol as solvent, epoxy resin and polyether amine binders glass powders additives, the ITO In2O3 slurries printed onto Al2O3 substrate to form thermocouples. The effect thermoelectric properties of TFTCs with heat treatment different contents additives was investigated through microstructure observation thermal cycle...

10.1063/5.0057148 article EN Review of Scientific Instruments 2021-10-01

Anchor-free detection methods have achieved competitive performance in 3D object tasks. These bring up a higher requirement on the candidate generation which will substantially impact convergence speed and of model. Aiming at this problem, we propose Radar-RPN, novel module that can produce high-quality candidates by leveraging mmWave radar data. It be readily embedded into existing framework significantly improve network performance, especially for anchor-free models. The experiment...

10.1109/icftic57696.2022.10075246 article EN 2022-12-02

Outdoor 3D object detection has played an essential role in the environment perception of autonomous driving. In complicated traffic situations, precise recognition provides indispensable information for prediction and planning dynamic system, improving self-driving safety reliability. However, with vehicle's veering, constant rotation surrounding scenario makes a challenge systems. Yet most existing methods have not focused on alleviating accuracy impairment brought by rotation, especially...

10.48550/arxiv.2302.13577 preprint EN cc-by-nc-sa arXiv (Cornell University) 2023-01-01

Integrated electricity-gas energy system (IEGES) optimization plays a key role. The current reliance on model-based intelligent algorithms for low-carbon economic dispatch problem within IEGES leads to weak ability in solving uncertain because of their poor adaptability the changes structure and devices. In response this phenomenon, paper uses data-driven deep reinforcement learning (DRL) transfer into discrete Markovian decision process (MDP) environment with carbon capture (CCS), then...

10.2139/ssrn.4051657 article EN SSRN Electronic Journal 2022-01-01
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