A5044386909- stochastic dynamics and bifurcation
- Millimeter-Wave Propagation and Modeling
- Advanced Thermodynamics and Statistical Mechanics
- Telecommunications and Broadcasting Technologies
- Advanced MIMO Systems Optimization
- Semiconductor materials and devices
- Indoor and Outdoor Localization Technologies
- Advancements in Semiconductor Devices and Circuit Design
- Nonlinear Dynamics and Pattern Formation
- Robotics and Sensor-Based Localization
- Underwater Vehicles and Communication Systems
- Remote Sensing and LiDAR Applications
- Complex Network Analysis Techniques
- Speech and Audio Processing
- Biometric Identification and Security
- Opinion Dynamics and Social Influence
- Diffusion and Search Dynamics
- Safety and Risk Management
- Natural product bioactivities and synthesis
- Radiation Effects in Electronics
- Public Relations and Crisis Communication
- Plant biochemistry and biosynthesis
- Animal Nutrition and Physiology
- Tunneling and Rock Mechanics
- Ultra-Wideband Communications Technology
Beneficial Designs (United States)
2025
Shenyang Agricultural University
2024
Jiangxi University of Science and Technology
2011-2024
Northwest A&F University
2022-2024
Tsinghua University
2021-2024
China University of Geosciences (Beijing)
2024
Northeastern University
2024
Harbin Medical University
2024
First Affiliated Hospital of Harbin Medical University
2024
State Ethnic Affairs Commission
2023-2024
Location awareness plays an increasingly important role in wireless network applications. However, accurate localization complex indoor environments remains challenging for existing radio frequency (RF)-based systems, among which the ultra-wide bandwidth (UWB) technology ranks to be most promising one due its capability providing channel information with fine time resolution. In this paper, we propose a multipath-assisted single-anchor framework that can provide high-accuracy positional...
Wireless Fidelity (Wi-Fi) communication technologies hold significant potential for realizing the Industrial Internet of Things (IIoT). In this paper, both Single-Input Single-Output (SISO) and polarized Multiple-Input Multiple-Output (MIMO) channel measurements are conducted in an IIoT scenario at less congested Wi-Fi band, i.e., 5.5~GHz. The purpose is to investigate wireless characteristics communications between access points terminals mounted on automated guided vehicles as well those...
Sparse autoencoders have recently produced dictionaries of high-dimensional vectors corresponding to the universe concepts represented by large language models. We find that this concept has interesting structure at three levels: (1) The “atomic” small-scale contains “crystals” whose faces are parallelograms or trapezoids, generalizing well-known examples such as (man:woman::king:queen). quality and associated function improves greatly when projecting out global distractor directions word...
Early event prediction challenges most of existing modeling methods especially when dealing with complex spatio-temporal data. In this paper we propose a new method for predictive data modelling based on development the recently proposed NeuCube spiking neural network architecture, called here <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">(ST)</sup> . The uses Spiking Neural Network reservoir (SNNr) and dynamic evolving Neuron (deSNN)...
The quality of poultry products depends on genotype, rearing system, and environment. aim this study was to investigate the effects different systems meat quality, amino acid composition, breast muscle transcriptome from Lueyang black-bone chickens. chickens (n = 900) were randomly divided into three groups (cage, flat-net, free-range groups), with replicates per group (100 replicate). At 16 weeks, a total 36 healthy (six males six females group) collected, their muscles sampled detect...
Abstract Cloud and aerosol are two important modulators that influence the solar radiation reaching earth’s surface. It is intriguing to find diverse impacts of clouds aerosols over Southern China (SC) Northern India (NI) which result in remarkable differences plane-of-array irradiance (POAI) signifies maximum available photovoltaic potential by combining latest satellite retrieval results modeling tools. By separating cloud on POAI, it found responsible for most reduction POAI SC, while...
Duck is an economically important poultry, and there currently a major focus on improving its meat quality through breeding. There are wide variations in the growth regulation mechanisms of different duck breeds, that fundamental research skeletal muscle essential for understanding unknown genes. The study aimed to broaden development thereby improve performance domestic ducks. In this study, RNA-seq data from muscles (breast leg muscle) Pekin Hanzhong Ma sampled at d 17, 21, 27 embryo...
Accumulating evidence has suggested that circular RNAs (circRNAs), a novel class of non‑coding RNAs, have crucial roles in tumor progression. However, the significance circRNAs hypopharyngeal cancer (HCa) remains to be investigated. The present study identified aberrantly expressed by performing circRNA sequencing analyses three pairs and adjacent normal samples from patients with HCa. results demonstrated 173 were differentially (DE), including 71 upregulated 102 downregulated (FDR<0.05...
The performance damage mechanism of InP-based high electron mobility transistors (HEMTs) after proton irradiation has been investigated comprehensively through induced defects. effects the defect type, energy level with respect to conduction band E T , and concentration on transfer output characteristics device are discussed based hydrodynamic model Shockley–Read–Hall recombination model. results indicate that only acceptor-like defects have a significant influence operation. Meanwhile, as...
Single-photon light detection and ranging (LiDAR) - offering single-photon sensitivity picosecond temporal resolution has become one of the most promising technologies for 3D imaging target detection. Generally, identification requires construction an image, performed by a raster-scanned or array-based LiDAR system. In contrast, we demonstrate image-free approach based on single-point LiDAR. The idea is to identify object from data equipped with efficient neural network. Specifically,...
Wireless propagated signals encapsulate rich information for high-accuracy localization and environment sensing. However, the full exploitation of positional environmental features as well their correlation remains challenging in complex propagation environments. In this paper, we propose a methodology variational inference over deep neural networks concurrent distance estimation identification. The proposed approach, namely inter-instance auto-encoders (IIns-VAEs), conducts with latent...
The magnetic properties and defect types of virgin N-doped TiO2 single crystals are probed by superconducting quantum interference device (SQUID), X-ray photoelectron spectroscopy (XPS), positron annihilation analysis (PAS). Upon N doping, a twofold enhancement the saturation magnetization is observed. Apparently, this not related to an increase in oxygen vacancy, rather unpaired 3d electrons Ti3+, arising from titanium vacancies replacement O with atoms rutile structure. production can...
InP-based high electron mobility transistors (HEMTs) will be affected by protons from different directions in space radiation applications. The proton irradiation effects on InAlAs/InGaAs hetero-junction structures of HEMTs are studied at incident angles ranging 0 to 89.9° SRIM software. With the increase angle, change trend induced vacancy defects region is consistent with energy loss protons. Namely, they both have shown an initial increase, followed a decrease after angle has reached 30°....
In this paper, the effect of electron irradiation fluence on direct current (DC) and radio frequency (RF) InP-based high mobility transistors (HEMTs) was investigated comprehensively. The devices were exposed to a 1 MeV beam with varied fluences from × 1014 cm−2, 1015 1016 cm−2. Both channel transconductance dramatically decreased as rose up whereas specific on-resistance (Ron) exhibited an apparent increasing trend. These changes could be responsible for reduction in by irradiation-induced...
The application of 5G in IOT (Internet things) puts forward strict requirements for network latency. In view the fog scenario with large-scale devices, this paper proposes a procedure unsupervised learning to efficiently realize requirement low-latency communication. We propose an integrated K-means clustering and PCA computing design, which facilitates new service fog, anomaly detection. Computer simulation shows that, presence path loss, shadow small-scale fading channel, system design low...
Localization systems based on ultra-wide band (UWB) measurements can have unsatisfactory performance in harsh environments due to the presence of non-line-of-sight (NLOS) errors. Learning-based methods for error mitigation shown great improvement via directly exploiting wideband waveform instead handcrafted features. However, these require data samples fully labeled with actual measurement errors training, which leads time-consuming collection. In this paper, we propose a semi-supervised...
The next-generation communications impose requirements on integrated sensing and communication. However, the non-line-of-sight propagation in indoor complex environments poses great challenges to common localization techniques. In this letter, we propose a signal denoising network based transformer temporal attention improve angle-of-arrival estimation accuracy. proposed network, channel impulse response is denoised reconstructed mitigate errors. Then, two database are constructed self-built...