- Sparse and Compressive Sensing Techniques
- Microwave Imaging and Scattering Analysis
- Indoor and Outdoor Localization Technologies
- Energy Efficient Wireless Sensor Networks
- Anomaly Detection Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Sensor Technology and Measurement Systems
- Antenna Design and Optimization
- Direction-of-Arrival Estimation Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Data Stream Mining Techniques
- Traditional Chinese Medicine Studies
- Advanced MIMO Systems Optimization
- Water Quality Monitoring and Analysis
- Mobile Ad Hoc Networks
- Antenna Design and Analysis
- Non-Invasive Vital Sign Monitoring
- Geophysical Methods and Applications
- Blind Source Separation Techniques
- Advanced Wireless Communication Technologies
- Advanced Fiber Laser Technologies
- Nonlinear Photonic Systems
- Distributed Sensor Networks and Detection Algorithms
Tianjin Normal University
2015-2024
Hohai University
2023-2024
Shanghai Maritime University
2020-2023
The University of Texas at Arlington
2017-2022
Yunnan Agricultural University
2022
University of Naples Federico II
2022
Universidad Nacional Autónoma de México
2022
Indian Institute of Technology Delhi
2022
DSI Informationstechnik (Germany)
2022
Zhejiang University
2022
In heterogeneous wireless sensor networks (HWSN), nodes may fail due to running out of battery power or sudden damage. This causes HWSN being partitioned a number separate networks. Relay node placement is add new relay such that the network recovers communication. Energy efficient routing in useful for prolonging lifetime and energy conservation. paper attempts solve problems HWSN. Both have seldom been studied together literature. first constructs mathematical model both problems. For...
Anomaly detection in big data is a key problem the analytics domain. In this paper, definitions of anomaly and were presented. Due to sampling storage burden inadequacy privacy protection based on uncompressed data, compressive sensing theory was introduced used algorithm. The criterion wavelet packet transform statistic process control deduced. proposed technique for through-wall human demonstrate effectiveness. experiments detecting humans behind brick wall gypsum ultra-wideband radar...
Abstract In karst terrains, fractures and conduits often occur in clusters, forming groundwater quick flow belts, which are the major passages of solute transport. We propose a cost-effective method that utilizes precipitation spring discharge data to identify belts by multitaper (MTM). this paper, hydrological processes were regarded as transformation signals catchment. During processes, aquifers played role signal filters. Only those with high energy could penetrate through reflect...
The technology for through-wall human detection with ultra-wideband (UWB) radar was discussed. Due to the large amount of UWB data, compressive sensing theory introduced and compressed data can be collected. singular value decomposition algorithm used acquire values data. were collected at two statuses being gypsum wall. experimental results showed that a target increased compared those without target.
This article addresses the spectrum efficiency study of nested sparse sampling and coprime in estimation power spectral density for QPSK signal. The authors proposed only showed that these new sub-Nyquist algorithm could achieve enhanced degrees freedom, but did not consider its performance. Spectral describes ability a communication system to accommodate data within limited bandwidth. In this article, we give procedures using structure estimate signal’s autocorrelation (PSD) set samples. We...
Ultra-wideband (UWB) radar technology is a key in the field of target recognition, which characterized by high resolution and strong anti-interference ability. In this paper, ultra-wide bandwidth equipment used to identify multistatus human being after brick wall fuzzy pattern recognition genetic algorithm. First, The main characteristic parameters are selected extracted from received signal, each feature corresponding submembership function. Then, through algorithm optimize function for...
In this paper, experiments on through-wall human being detection using ultra-wideband (UWB) radar PulsOn 220 in monostatic mode are carried out. For periodic respiratory motion of target, the techniques employed normalized difference square matrix method, and reference moving average method with Discrete Fourier Transform (DFT). The experimental results for target behind gypsum wall concrete have been separately demonstrated.
Hyperspectral transmission imaging may provide a means for rapid screening of breast tumors, but tissue has strong nature scattering, thus causing great difficulty in identifying heterogeneity. In this paper, combination frame accumulation and deep learning was proposed to detect heterogeneity, we designed the simulation experiment collecting phantom images. On basis preprocessing, heterogeneous detection is performed on multispectral images by using faster regions with convolutional neural...
Biological network inference is a crucial problem to solve in Bioinformatics as most of biological process are based on bio molecular interactions. Many researchers have worked especially the gene regulatory networks where node and edge represent regulation relationship respectively assuming that can regulate another indirectly. However, expression level be influenced by not only genes proteins but also other factors. Therefore, could more effective if those factors considered inferences. In...
It is a challenge to simulate the hydrodynamic problems covering large deformation of free surface arising in severe circumstances with intense flow. This paper investigates algorithms based on moving particle semi-implicit method for simulating and impact loads. The algorithm discretizes fluid domain into series particles, each representing part fluid. pressure field calculation implicit, velocity explicit. Three models, including gradient model, source term, free-surface detection, have...
ABSTRACT In this paper, we propose a new compressive sensing‐based compression and recovery ultra‐wideband (UWB) communication system. Compared with the conventional UWB system, can jointly estimate channel compress data, which also simplify design of hardware. No information about transmitted signal is required in advance as long follows autoregressive process. As an application example, real‐world collected processed to evaluate performance our proposed The procedure so simple that just...
The collaborative relay network plays an important role in a smart grid application thanks to its high efficiency. However, energy and bandwidth management need be further improved extend life cycle reduce potential segmentation. Aiming balance the consumption, this paper proposes adaptive node selection algorithm based on opportunity (OAR). In OAR, nodes are chosen act as candidates bit error rate (BER) estimation, then, is adaptively opportunistically determined for packet forwarding....
In this paper, by analysing the characteristics of node assignments, network structures and data transmission in smart grid, we propose evaluate a self–healing hierarchical architecture (SHA) for ZigBee networks grid application. The SHA could maintain structure based on link quality indication (LQI) modified neighbour table information to optimise parent child relationship from viewpoint overall network. A backup loop scheme is also introduced enhance robustness. calculated each address...