- Electrical and Bioimpedance Tomography
- Geophysical and Geoelectrical Methods
- Machine Learning and ELM
- Blind Source Separation Techniques
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Non-Destructive Testing Techniques
- Nonlinear Photonic Systems
- Speech and Audio Processing
- Aviation Industry Analysis and Trends
- Music Technology and Sound Studies
- Advanced SAR Imaging Techniques
- Photonic and Optical Devices
- Natural Language Processing Techniques
- Catalysis and Hydrodesulfurization Studies
- Opportunistic and Delay-Tolerant Networks
- International Relations and Foreign Policy
- Quantum optics and atomic interactions
- Air Quality and Health Impacts
- Advanced Data Compression Techniques
- Multimodal Machine Learning Applications
- Microwave Imaging and Scattering Analysis
- Catalysis and Oxidation Reactions
- Advanced Memory and Neural Computing
Henan University of Technology
2024
The University of Sydney
2024
Nanjing University of Aeronautics and Astronautics
2023-2024
Xi'an Jiaotong University
2021-2024
Multimedia University
2023
Shanghai University of International Business and Economics
2023
University of Ottawa
2023
Nanjing Foreign Language School
2023
Xi'an University of Science and Technology
2020-2022
National Supercomputing Center in Wuxi
2022
In order to explore the effects of COVID-19 control measures on concentration and composition PM2.5-bound polycyclic aromatic hydrocarbons (PAHs), better understand sources PAHs, PM2.5, samples were collected at two sites in urban suburban areas Shanghai before lockdown, during after lockdown 2020, same periods 2019. The mass concentrations 21 individual PAHs determined via GC-MS analysis. While significantly reduced absolute they had no significant effect their relative abundances,...
The directional characteristic of the low-frequency and high-frequency coefficients based on wavelet transform for original images is discussed analyzed, a novel image fusion algorithm lifting proposed in this paper. Firstly, source are transformed to frequency domain by means wavelet. Then, resultant sub-band achieved comparing covariance different images. Meanwhile, each calculated according matching measure between same quad-tree structure relationship with direction sub-bands. At last,...
Jiahuan Li, Yutong Shen, Shujian Huang, Xinyu Dai, Jiajun Chen. Proceedings of the 59th Annual Meeting Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2021.
MEMS (Micro-electromechanical systems), a technology that produces devices with tiny size and various abilities, has shown its great potential in many areas, but there are still parts wait to be improved. This paper would give brief introduction of the features, superiorities drawbacks. Based on these characteristics, several applications introduced some specific examples. In this paper, current status advantages disadvantages discussed, improvements mentioned related problems been recently...
The bit-error probability (BEP) is evaluated for a fast frequency-hopping binary frequency-shift-keying (FFH/BFSK) spread-spectrum communication system over Rician fading channels in the presence of worst-case multitone jamming (MTJ) and additive white Gaussian noise (AWGN). A diversity reception scheme product-combining applied at receiver. Two types MTJ models, namely n=1-band independent MTJ, are considered this letter. To obtain final decision statistics, closed-form or single finite...
In order to reduce the computational complexity of convolutional neural networks (CNNs), local binary network (LBCNN) has been proposed. LBCNN, a layer is divided into two sublayers. Sublayer 1 sparse ternary-weighted layer, and 2 ×1 layer. With use sublayers, LBCNN lower uses less memory than CNN. this brief, we propose platform that includes weight preprocessor accelerator for LBCNN. The proposed takes advantage sparsity in encodes offline. effectively encoded data accesses an inference....
Traffic accidents bring serious harm to individuals and society. Fatigue driving has many potential safety hazards, which is the main factor causing road traffic accidents. Therefore, it urgent monitor fatigue system. Firstly, EEG signals are preprocessed by Butterworth band-pass filter, then features extracted wavelet transform. The classification results of based on support vector machine used as initial value. Then RANSAC method select signal. Finally, according average value screened...
In this Letter, we have investigated experimentally the photonic realization of a moving lattice with an instantaneously tunable transverse velocity in three-level <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi mathvariant="normal">Λ</mml:mi> </mml:math> -type warm <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi/> <mml:mn>85</mml:mn> </mml:mrow> </mml:msup> mathvariant="normal">R</mml:mi> mathvariant="normal">b</mml:mi> atomic medium. The dynamic...
Monolithic catalysts loaded with ZIF-derived dodecahedral Co 3 O 4 on copper foam for the efficient catalytic oxidation of toluene.
We propose a method to prepare optically induced rotating hexagonal and honey-comb photonic lattices by employing the phase modulated three-beam interference in atomic vapors with electromagnetically transparency. The differences among three beams are dynamically elaborated synthesize circular motion (in transverse dimensions) of waveguides lattices. Further, we verify this model experimentally case low-speed modulation. A weak Gaussian probe field is sent into constructed helical image...
Source separation of a mixed signal in the time-frequency domain is critical for joint communication and radar (JCR) systems to achieve required performance, especially at low signal-to-noise ratio (SNR).In this paper, we propose use generative model, such as unsupervised variational autoencoder (VAE), separate sensing data signals.We first analyse VAE system using different mask techniques; then, best technique selected comparison with popular blind source (BSS) algorithms.We verify...
During mine filling, the caking in pipeline and waste rock filling slurry may cause serious safety accidents such as pipe blocking or explosion. Therefore, visualization of inner solid–liquid two-phase flow is important. This paper proposes a method based on capacitance tomography for distribution section pipe. A feedback network used electrical reconstruction. reconstruction uses radial basis function neural fitting to determine relationship between vector medium error. In process, error...
The process of mining filling, when the slurry is transported to goaf by filling pipeline, very important find location and size caking in pipeline time for safe stable operation mine pipeline. It an research work detect different flow patterns after two‐dimensional section reconstruction closed based on ECT (electrical capacitance tomography) visualization method. Slurry regarded as a two‐phase flow, multishape distribution was reconstructed into images intelligently recognized broad...
Since the disintegration of Soviet Union, world's second largest economy at time, ever-growing China has begun to attract attention United States. The States used various methods such as trade wars and wooing China's neighboring countries contain development, same geopolitical conflict between become increasingly fierce. While U.S. approach curbed China’s economic growth, it also adversely affected companies Boeing that have cooperated with China. This paper analyzes impact tensions on what...
The postmodernist musical works reflect the uncertainty, fragmentation, irony, and carnival of postmodernism, some them also embody characteristics simplification interactivity. In this paper, John Cages 433 Philip Glasss Metamorphosis will be compared analyzed with Jonathan D. Kramers theoretical view, to research interactivity reasons, as well social significance. Simplification is one prerequisites accounts for or even elimination elements, but emotions meanings expressed in are not...
In complex electromagnetic environments, the aliasing of various types signals such as radar, communication, navigation and jamming is increasing, requiring effective source separation method to deal with it. However, signal-to-noise ratio (SNR) each signal differs significantly, which brings severe challenges separation. this paper, a cyclic-reconstruction-based single-channel (CRSS) proposed. First, sparse observation model for established based on Fourier decomposition instantaneous...