- Plasmonic and Surface Plasmon Research
- Photonic and Optical Devices
- Photonic Crystals and Applications
- Speech Recognition and Synthesis
- Gold and Silver Nanoparticles Synthesis and Applications
- Speech and Audio Processing
- Advanced MIMO Systems Optimization
- Gait Recognition and Analysis
- Energy Harvesting in Wireless Networks
- Optical Coatings and Gratings
- Cooperative Communication and Network Coding
- IoT Networks and Protocols
- Quantum-Dot Cellular Automata
- Surface Roughness and Optical Measurements
- Quantum Computing Algorithms and Architecture
- Optical Systems and Laser Technology
- Blind Source Separation Techniques
- Voice and Speech Disorders
- Advanced Wireless Communication Technologies
- Underwater Acoustics Research
- Advanced SAR Imaging Techniques
- Silicon Nanostructures and Photoluminescence
- Mechanical and Optical Resonators
- Wireless Communication Security Techniques
- Optical Network Technologies
Guangxi Normal University
2016-2024
System Simulation (United Kingdom)
2021
High efficiency and precision of the pot center detection are foundations avionics instrument navigation optics measurement basis for many applications. It has noticeable impact on overall system performance. Among them, laser spot is very important in optical technology. In order to improve low accuracy position, algorithm improved circle fitting. The pretreatment used by fitting, adaptive denoising filter TV repair technology can effectively improves position. At same time, de-noising...
In order to solve the problem of mode mixing and aliasing arising from speech decomposition, this paper proposes a signal decomposition method based on Variational Mode Decomposition (VMD): Decomposition-Frequency Shifting, VMD-FS). The takes advantage VMD's good extraction fundamental frequency signal, sets specific carrier parameters shift lower frequency, then applies iterative methods VMD decompose in obtain true IMFs that make up signal. Through experiments real signals, it is...
Plasmon lasers can support ultrasmall mode confinement and ultrafast dynamics with device feature sizes below the diffraction limit. At present in single visible light frequency, optical gain method of constraint SPP on metal nanowires structure reported less. We design gold nanowire array structure, consisting PMMA R6G dye molecules as gain, by 488 nm pump middle position for wide range light, use symmetry broken overcome that momentum does not match photonic energy conversion. Theoretical...
The efficient quantum circuits of arithmetic operations are important to perform algorithms. To implement matrix operations, we first modify the generalized model novel enhanced representation digital images (GNEQR) store unsigned and signed integer matrices. Next, design addition, modulo subtraction, these all keeping two operands unchanged. Then, propose subtraction for time. Furthermore, present a simulation method verify correctness proposed matrix. results experiment show that correct.
Lasers are nowadays widely used in industry, hospitals and many devices that we have at home. Random laser development is challenging given its high threshold low integration. Surface plasmon polariton (SPP) can improve random characteristics because of ability to control diffraction. In this study, establish a structural model with silicon-based parcel GaN nanowires. The nanowire gain enhanced surface increase population inversion level. Our based on particle scattering feedback mechanism,...
A lightweight and fast skew detection recognition method is proposed to address low accuracy, slow speed, the inability detect skewed spray codes on complex background packaging. Built upon YOLOv5-obb network, approach utilizes Ghost module backbone reducing parameters computations. The introduction of Slim-neck feature fusion network structure in neck further simplifies model while enhancing accuracy. SimAM added both improve overall rates. In post-processing, a for merging scene text...
In response to the issues of low recognition accuracy in silent electromyographic facial action speech reconstruction tasks, this paper combines residual network (ResNet) and Transformer model design a Res based on ResNet structure network. The consists three connected structures several modules, features are extracted using ResNet, converts signal into Mel frequency spectrum 80 bands, sends HiFiGAN for reconstruction, ultimately obtaining audible under action. addition, our work also...
Classical opportunistic relay selections always cause unequal power consumption among all relays. For the battery-operated relays in cooperative networks, uneven may reduce network lifetime and thus deteriorates performance. In this paper, a novel multi-relay selection scheme aiming at increase of is proposed for decode-and-forward networks consisting only. scheme, potential subset candidate are established successively. The channel status information relaying links, transmitting each...
Identifying the movement state of flying birds by scattered echoes is a hot topic in radar bird detection. At present, quantitative relationship between flapping frequency and its dynamic electromagnetic scattering characteristics not clear, which brings challenges to In view this, this paper proposes correlation modeling method based on least squares polynomials for prediction. This uses fit characteristic data frequency, MAE, MRE RMSE verify fitting accuracy explore optimal order that...
A relay and antenna selection scheme is proposed for multiple-input multiple-output decode-and-forward cooperative networks, where multiple antennas are installed at the grid-powered source, battery-powered relays destination. In order to prolong network lifetime avoid serious degradation of performance, residual energy in battery each also considered selection, besides channel conditions between transmitting receiving antennas. Another important feature lies variable number selected data...
Depression is a common mental illness. Because of its high recurrence rate and hazards, it has become disorder that plagues people. In response to this problem, model optimizes the signal then extracts deep depression features proposed. Firstly, optimized obtained by using variational mode decomposition (VMD) mutual information (MI), necessary select BiGRU autoencoder with optimal number layers extract features, finally use SVM for identification, in terms classification rate, feature...
The unstable energy of EH-DAS poses a challenge to system performance. For this reason, article considers dynamic adjustment RAU power and user scheduling in gain sustainable operation decrease the communication outages caused by coverage zooming. First, model combining zooming is established an optimization problem targeting at maximizing efficiency formulated under constraints required quality service maximum transmit EH-RAU. Then, decomposed into two sub-problems maximization. In order...
Regarding the secure transmission of physical layer distributed antenna system, optimization problem power allocation among remote units is studied. Firstly, security model energy sharing system established. Then, targeting at maximizing efficiency formulated. This solved by two steps. The firstly optimized omitting constraint limited harvested and then further under energy. Finally, simulated when artificial noise added in relationship between number eavesdropping users investigated.