- Advanced Sensor and Energy Harvesting Materials
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Innovative Energy Harvesting Technologies
- Graphene research and applications
- Optical Systems and Laser Technology
- Perovskite Materials and Applications
- Advanced MEMS and NEMS Technologies
- Tactile and Sensory Interactions
- Acoustic Wave Resonator Technologies
- Advanced Fiber Optic Sensors
- Conducting polymers and applications
- Energy Harvesting in Wireless Networks
- Photonic and Optical Devices
- Advanced Measurement and Detection Methods
- Gas Sensing Nanomaterials and Sensors
- Advanced Computational Techniques and Applications
- Image Processing Techniques and Applications
- Glaucoma and retinal disorders
- Anomaly Detection Techniques and Applications
- Advanced Neural Network Applications
- Fault Detection and Control Systems
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
Xuzhou University of Technology
2023-2025
Xidian University
2016-2025
Harbin Institute of Technology
2012-2025
Jilin University
2018-2025
Xi'an Institute of Optics and Precision Mechanics
2024
University of Electronic Science and Technology of China
2022-2024
Beijing Tongren Hospital
2008-2024
Capital Medical University
2008-2024
Huanghuai University
2024
Qingdao Agricultural University
2021-2024
Recently, research on graphene based photodetectors has drawn substantial attention due to ultrafast and broadband photoresponse of graphene. However, they usually have low responsivity photoconductive gain induced by the gapless nature graphene, which greatly limit their applications. The synergetic integration with other two-dimensional (2D) materials form van der Waals heterostructure is a very promising approach overcome these shortcomings. Here we report growth graphene-Bi2Te3 where...
High-gauge-factor stretchable strain sensors are developed by utilizing a new strategy of thickness-gradient films with high durability, and uniaxial/isotropic stretchability based on the self-pinning effect SWCNTs. The monitoring detailed damping vibration modes driven weak sound such is demonstrated, making solid step toward real applications.
Frauds have no constant patterns. They always change their behavior; so, we need to use an unsupervised learning. Fraudsters learn about new technology that allows them execute frauds through online transactions. assume the regular behavior of consumers, and fraud patterns fast. So, detection systems detect transactions by using learning, because some fraudsters commit once mediums then switch other techniques. This paper aims 1) focus on cases cannot be detected based previous history or...
Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, range endoscopes is small, which may affect doctors' judgment on scope details Image mosaic technology can solve problem well. In this paper, an improved feature-point pair purification algorithm based SIFT (Scale invariant feature transform) proposed. Firstly, K-nearest neighbor-based point matching used for rough matching. Then RANSAC (Random Sample Consensus) method robustness tests to...
Flexible piezoresistive tactile sensors are widely used in wearable electronic devices because of their ability to detect mechanical stimuli. However, achieving high sensitivity and low hysteresis over a broad detection range remains challenge with current sensors. To address these obstacles, we designed elastomeric micropyramid arrays different heights redistribute the strain on electrode. Furthermore, mixed single-walled carbon nanotubes micropyramids compensate for conductivity loss...
Abstract Flexible interconnects are one of the key elements in realizing next‐generation flexible electronics. While wire bonding interconnection materials being deployed and discussed widely, adhesives to support flip‐chip surface‐mount interconnections less commonly used reported. A polyurethane (PU)‐based electrically conductive adhesive (ECA) is developed meet all requirements interconnects, including an ultralow bulk resistivity ≈1.0 × 10 −5 Ω cm that maintained during bending, rolling,...
Kernel machines rely on an implicit mapping of the data such that non-linear classification in original space corresponds to linear new space. As kernel are difficult scale large training sets, it has been proposed perform explicit and learn directly classifiers In this paper, we consider problem learning image categorizers sets (e.g. > 100k images) using bag-of-visual-words (BOV) representations Support Vector Machine classifiers. We experiment with three approaches BOV embedding: 1) PCA...
A set of three-dimensional charge-density-wave (3D CDW) VSe2 nano-flakes with different thicknesses were obtained by the scotch tape-based micro-mechanical exfoliation method. Resistivity measurements showed that 3D CDW transition temperature Tp decreases systematically from 105 K in bulk to 81.8 11.6 nm thick flake. The Hall resistivity ρxy all flakes a linear dependent behavior against magnetic field residual electron concentration order ∼1021 cm−3 at 5 K. n increases slightly as thickness...
Abstract A wearable hyperthermia device that allows for tumor treatment without interfering with daily activities is of clinical and social significance. However, the wide adaptation local from such devices in practice has been hindered mainly due to several critical challenges existing devices, as contradiction high electrical conductivity optical transparency while a thin, deformable format. Here soft, skin‐mountable, patch (HTP) reported unusual characteristics based on unidirectional...
On-skin patches that record biopotential and biomechanical signals are essential for wearable healthcare monitoring, clinical treatment, human-machine interaction. To acquire wearing comfort high-quality signals, with tissue-like softness, elastic recovery, damage tolerance, robust bioelectronic interface highly desired yet challenging to achieve. Here, we report a dry epidermal patch made from supramolecular polymer (SESA) an in situ transferred carbon nanotubes' percolation network. The...
Field programmable gate array (FPGA) is widely considered as a promising platform for convolutional neural network (CNN) acceleration. However, the large numbers of parameters CNNs cause heavy computing and memory burdens FPGA-based CNN implementation. To solve this problem, paper proposes an optimized compression strategy, realizes accelerator based on FPGA CNNs. Firstly, reversed-pruning strategy proposed which reduces number AlexNet by factor 13× without accuracy loss ImageNet dataset....
On-skin electrodes with high air permeability, low thickness, elastic modulus, and adhesion are essential for biomedical signal recordings, which provide data sports management applications. However, nanothickness interacting the skin by van der Waals force can be interfered sweating, elastomers prepared modification not satisfactory in terms of permeability. Here, a dry electrode stretchability (598%), modulus (5 MPa), permeability (726 g m–2 d–1), (6.33 kPa) was fabricated semi-embedding...
The “stop-go” approximation is widely used for the processing of synthetic aperture radar (SAR) data, and error brought by this assumption can be negligible most SAR systems. However, on a high-speed platform, with increasing requirements high-resolution imaging, may intolerable imaging. In case, motion within pulse repetition interval should taken into account echo model imaging algorithm. paper, according to geometric configuration working process, an accurate presented. By comparing...
HfO2-ZrO2 superlattice (SL) ferroelectric (FE) ultrathin films exhibit significant improvement in endurance performance compared with solid-solution HfxZr1−xO2 (HZO). Despite the experimental evidence, underlying microscopic mechanisms of enhanced reliability SL remain elusive. This Letter explores mechanism by performing first-principle calculations on and HZO systems. The can be well explained higher oxygen vacancy (Vo) migration energy barriers along FE polarization direction, which slow...
Artificial olfaction data are usually represented by a sensor array embedded in an electronic nose system (E-Nose), such that each observation can be expressed as feature vector for pattern recognition. The concerns of this paper threefold: multiple different modalities; manual labeling sensory real application is difficult and hardly impossible, which results issue insufficient labeled data; classifier learning generally independent engineering, the recognition capability E-Nose restricted...
Hierarchical nanosheet-based nanotubes are very attractive because their unique structure endows them with large surface areas and exposes massive active sites for functional applications. We herein demonstrate a facile one-pot hydrothermal approach to fabricate the hierarchical MS2 (M = Re, Mo, W) by using Te nanowires as sacrificial templates. The show tube channels of ∼30 nm channel walls tunable thickness up ∼50 nm. As exemplified application in Li-ion Na-ion batteries, ReS2 exhibit...
Wide bandgap two-dimensional semiconductors are of paramount importance for developing van der Waals heterostructure electronics. This work reports the use layer and strain engineering to introduce feasibility hexagonal (h)-AlN fill scientific application gap. We show that such one- five-layer h-AlN has an indirect bandgap, tunable from 2.9 eV a monolayer ∼3.5 multilayer structures, along with isotropic effective masses carrier mobilities between zigzag armchair directions. With increase in...
Abstract Van der Waals (vdW) heterostructures of two‐dimensional (2D) materials promise exotic properties beyond the reach existing material systems and open unprecedented opportunities for device applications. Here, it is demonstrated that vdW stacking centrosymmetric ReS 2 graphene into heterostructure could induce strong second harmonic generation (SHG), though there not any SHG from individual or graphene. It be attributed to interfacial charge transfer in heterostructure. With distorted...