A5034021327- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Advanced biosensing and bioanalysis techniques
- Ion-surface interactions and analysis
- Mass Spectrometry Techniques and Applications
- Textile materials and evaluations
- Engineering Diagnostics and Reliability
- Spacecraft and Cryogenic Technologies
- Energy Harvesting in Wireless Networks
- Advanced Image and Video Retrieval Techniques
- Advanced Sensor and Energy Harvesting Materials
- Advanced Aircraft Design and Technologies
- Polymer composites and self-healing
- Data Management and Algorithms
- Advanced MEMS and NEMS Technologies
- IoT and Edge/Fog Computing
- Industrial Technology and Control Systems
- Astro and Planetary Science
- Big Data Technologies and Applications
- Ergonomics and Musculoskeletal Disorders
- Fire Detection and Safety Systems
- Advanced Chemical Sensor Technologies
- Adsorption and Cooling Systems
- Advanced Surface Polishing Techniques
- RNA Interference and Gene Delivery
Shijiazhuang Tiedao University
2020-2024
Shanghai Fire Research Institute
2013-2023
Liaoning Technical University
2022
Chinese Academy of Sciences
2017-2021
Beijing National Laboratory for Molecular Sciences
2017-2021
Center for Excellence in Education
2020-2021
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2021
Wuhan University
2021
Beijing University of Posts and Telecommunications
2016-2019
University of Chinese Academy of Sciences
2017
A growing number of Internet-connected sensors have already promoted the advance sensor search service. Accessing all available objects to find sought results in huge communication overhead, thus a low-overhead and high-precision prediction model (LHPM) is proposed improve efficiency. We design approximation method lower reporting energy cost. Then multistep accurately estimate state. Furthermore, ranking presented assess matching probabilities sensors, so as effectively reduce overhead...
In this study, three types of shape memory fabrics (SMFs) were fabricated by weaving filaments from the weft direction at intervals 2, 3 and 4 cm. Accordingly, four-layered smart fabric systems (SFSs) developed incorporating a SMF layer into traditional thermal protective fabrics. Effects filament interval, position moisture content SMFs on protection investigated. Additionally, insulation evaporative resistance SFSs examined. Results demonstrated that application in system could...
Cisplatin is an extremely successful anticancer drug, and commonly thought to target DNA. However, the way in which cisplatin-induced DNA lesions regulate interactions between transcription factors/cofactors genomic remains unclear. Herein, we developed a dual-modal microscopy imaging strategy investigate, situ, formation of ternary binding complexes cofactor HMGB1 factor Smad3 with cisplatin crosslinked single cells. We utilized confocal map EYFP-fused fluorescent dye-stained cells,...
An addressable single cell imaging strategy combining ToF-SIMS and confocal fluorescence microscopy has been developed, sucessfully applied to visualize the subcellular distribution of an organoruthenium anticancer complex, [(η6-benzene)Ru(N,N-L)Cl]+ (1; L: 4-anilinoquinazoline ligand), showing its accumulation in both membrane nuclei, verifying dual-targeting feature.
Abstract Wheelset bearings are a core component of high-speed trains, and their fault diagnosis is the key to smooth operation. Deep learning widely used in due its powerful classification ability. To explicitly fit features vibration signals further explore relationship between signals, graph attention network (GAT) becoming focus research. Unlike traditional neural networks, GATs can on edges with stronger correlations vertices, making model more when fitting samples non-Euclidean space....
Abstract Developing fabrics with enhanced thermal protection is a cutting-edge topic in area of protective clothing (TPC) for workers under heat hazards. Here, temperature-responsive NiTi shape memory alloy (SMA) filaments, which transform into sinusoid form stimulus temperature exceeding their austenite start 45.1 °C, were prepared. Nine composite (CFs) using SMA filaments and aramid yarns, different filament interval, air gap orientation, yarn type fabric density, fabricated incorporated...
The time-frequency energy distribution processed by a short-time Fourier transform can be compressed to the real instantaneous frequency synchrosqueezing transformation (SST), which improves concentration of signal. However, there is large error in estimation multicomponent nonpure harmonic signal SST. Therefore, method for determining (IF) rolling bearing based on fractional (FRSST) proposed. First, theoretical derivation FRSST algorithm as processing technique given and steps IF are...
Wheelset bearings fault samples of high-speed trains often suffer from insufficient numbers and missing points. However, working conditions are one the most important factors affecting data augmentation repair, which is not sufficiently emphasized by existing methods. Also, generative adversarial networks (GANs) as effective sample generation methods still have many problems, such model collapse training difficulties. To solve these a repair method for train wheelset bearing diagnosis with...
Research into rolling bearing fault diagnosis methods is of great significance because bearings are a key part mechanical equipment. The effect iterative generalized demodulation (IGD) on the fundamental frequency component obvious in at variable speeds. However, there problem; curve octave overlaps, and multiple determinations bandpass filter parameters produce an artificial error that leads to misdiagnosis faults. Therefore, method for based adaptive (AGD) proposed. First, resonance band...
Most fault diagnosis methods require that the source and target machines' classes should overlap number of samples be comparable. However, such assumptions are unrealistic in wheelset-bearing diagnosis. The high reliability wheelset bearings difficulty collecting signals make datasets insufficient. obtained by laboratories can rich samples, types faults, working conditions, which contain a wealth information. Therefore, graph attention-based multichannel transfer learning network (GAMTLN) is...
Time-frequency analysis can effectively reveal the fault characteristics of rolling bearings under variable speed conditions. However, traditional time-frequency method cannot meet requirements anti-noise ability and concentration. The synchroextracting transform (SET) as a novel makes up for these defects, so envelope demodulation based on SET diagnosis is proposed. Firstly, best resonant band selected by adaptive band-pass filter fast spectral kurtosis. Then, amplitude filtered signal...
In this paper, a new line matching approach for high-resolution array remote sensing images is presented. This establishes the correspondence of straight lines on two by combining multiple constraints. Firstly, three geometric constraints, epipolar, direction and point-line relationship, are used in turn to reduce number candidates. After this, similarity double descriptor distance, determine optimal matches. Finally, co-linearity constraint check one-to-many many-to-one correspondences...
Diagnosing faults in wheelset bearings is critical for train safety. The main challenge that only a limited amount of fault sample data can be obtained during high-speed operations. This scarcity samples impacts the training and accuracy deep learning models bearing diagnosis. Studies show Auxiliary Classifier Generative Adversarial Network (ACGAN) demonstrates promising performance addressing this issue. However, existing ACGAN have drawbacks such as complexity, high computational expenses,...
Sensors are used to sense the state information of physical entities in Internet Things (IoT). Thus, a large amount dynamic real-time data is generated. The entity similarity search based on quantitative sensor thus worth studying. To best our knowledge, there no research feature selection for IoT. This paper proposes mechanism main features (SMEF). SMEF method data. It uses matrix delete irrelevant features, applies an improved relief algorithm (iRelief) calculate relevance and...
The tens of billions devices expected to be connected the Internet will include so many sensors that demand for sensor-based services is rising. task effectively utilizing enormous numbers deployed daunting. need automatic sensor identification has expanded research on similarity searches. Things (IoT) features massive non-textual dynamic data, which raising critical challenge efficiently and searching selecting most related a need. Unfortunately, single-attribute searches are highly...
In this paper, a novel surface micromachined optical switch with micro vertical SU-8 mirror is reported. Using stress-induced bending of polysilicon/silicon nitride bimorph beam, raised above the substrate. The beam attracted to substrate by applying voltage transmission state reflection switch. displacement about 250 micrometers . roughness sidewall gold-coated measured be 53.5 A for average (Ra) and 71.3 root mean square (rms). verticality 89.1 degree(s). insertion loss 2.9 dB in 4.1dB...
In situ visualization of the recognition and interactions between proteins drug damaged DNA at single cell level is highly important for understanding molecular mechanism action targeting drugs, yet a great challenge. We report herein novel approach, termed as correlated optical secondary ion mass spectrometric imaging (COSIMSi), to explore cisplatin-damaged in cells. Genetically encoded EYFP-fused HMGB1, an vitro well-known specific binder DNA, dye-stained platinum were mapped by LSCM...
In situ visualization of the recognition and interaction between proteins drug damaged DNA at single cell level is highly important for understanding molecular mechanism action targeting drugs, yet a great challenge. We herein report novel approach, termed as correlated optical secondary ion mass spectrometric imaging (COSIMSi), exploring cisplatin-damaged in cells. Genetically encoded EYFP-fused HMGB1, an vitro well-known specific binder DNA, dye-stained cisplatin were mapped by LSCM...