A5040800314- Sparse and Compressive Sensing Techniques
- Advanced Wireless Communication Technologies
- Distributed Sensor Networks and Detection Algorithms
- Advanced MIMO Systems Optimization
- Blind Source Separation Techniques
- IoT and Edge/Fog Computing
- Indoor and Outdoor Localization Technologies
- Heat Transfer and Optimization
- Underwater Vehicles and Communication Systems
- UAV Applications and Optimization
- Energy Efficient Wireless Sensor Networks
- Advanced Measurement and Detection Methods
- advanced mathematical theories
- Age of Information Optimization
- Satellite Communication Systems
- Advanced Measurement and Metrology Techniques
- Microwave Imaging and Scattering Analysis
- Retinal Imaging and Analysis
- Per- and polyfluoroalkyl substances research
- Algebraic Geometry and Number Theory
- Sensor Technology and Measurement Systems
- Topological and Geometric Data Analysis
- Advances in Oncology and Radiotherapy
- Opportunistic and Delay-Tolerant Networks
- Rough Sets and Fuzzy Logic
Anhui University
2013-2024
Xi'an University of Science and Technology
2013
Shenyang University of Technology
2012
Liaoning Shihua University
2010
Nankai University
2009
Sparse code multiple access (SCMA) is a code-domain non-orthogonal (NOMA) technology proposed to meet the needs of large-scale intelligent terminal devices with high spectrum utilization. To improve accuracy and computational complexity SCMA accommodate internet things (IoT) scenario, we design new end-to-end autoencoder combining convolutional neural networks (CNNs) residual networks. A network multitask learning improves decoding accuracy, CNN units are used for codeword mapping, sparse...
An error compensation method for the single pair-pole encoder has been discussed in this paper. This article analyzed offset, sensitivity error, quadrature and ferromagnetic interference of single-pole magnetic to obtain expression each error. In order facilitate compensation, common describing summed up. The process formatting can be assumed as changing from circle ellipse. Therefore inverse is same compensation. experimental results show that accuracy which used could reach ±1, thus effect...
Data gathering is an attractive operation for obtaining information in wireless sensor networks (WSNs). But one of important challenges to minimize energy consumption networks. In this paper, integration distributed compressive sensing (CS) and virtual multi-input multi-output (vMIMO) WSNs proposed significantly decrease the data cost. The scheme first constructs a compression model based on low density parity check-like (LDPC-like) codes. Then cluster-based dynamic MIMO transmission...
Massive machine type communication (mMTC) serves an irreplaceable role in the development process of Internet Things (IoT). Because its characteristics massive connection and sporadic transmission, compressed sensing (CS) has been applied joint user activity data detection uplink grant-free non-orthogonal multiple access (NOMA) system. In previous work, greedy iterative-based multi-user (MUD) algorithms were developed mMTC scenarios because computational benefit competitive performance....
Mobile edge computing (MEC) is a promising technique to support the emerging delay-sensitive and compute-intensive applications for user equipment (UE) by means of computation offloading. However, designing offloading algorithm MEC network meet restrictive requirements towards system latency energy consumption remains challenging. In this paper, we propose joint user-association, task-partition, resource-allocation (JUTAR) solve problem. particular, first build an optimization function Then,...
The satellite Internet of Things (IoT) covers a vast area with multiple nodes and has limited resources for random access, which leads to low throughput. In this letter, we propose Q-learning combined diversity slotted compressive access control scheme (QDCC) enhance resource utilization Moreover, address the issue reduced throughput during network overload by introducing an adaptive frame length QDCC (AFL-QDCC) scheme. This adjusts utilizing support sets estimated sensing (CS)...
Effective Supply Chain Management (SCM) approach must focus on flexible supply and production processes as well rapidly respond to change of customer demands. To make up existing drawbacks association rule data mining algorithm, the paper brought out an improved algorithm applies it in product relativity analysis SCM. Based solution how parts be arranged can achieve more cost-effective higher profits achieved by mining. The result not only guide customers correctly shopping, but also help...
The belief propagation-based reconstruction algorithms with the sparse sensing matrix Φ are quite robust against measurement noise and have fast convergence speed. However performance of these existing is not so satisfactory for non-Gaussian signal. To improve further we consider an improved algorithm iterative support detection pseudo-inverse decoder. Simulation results show that outperforms normal propagation-base
The belief propagation (BP) algorithm under the Bayesian framework can accelerate Compressed Sensing (CS) encoding and decoding by using sparse encoder matrix. To improve reconstruction performance we consider a backtracking-based (CS-BBP) for signal reconstruction. backtracking is added after performing BP minimum mean square error (MMSE) estimate in every iteration. Simulation results show that CS-BBP universal which has good both 1-D Gaussian 2-D image reconstructions.
In this paper, the major contribution is to combine Bayesian inference with iterative support detection (ISD) solve noisy compressive sensing, which can be called sensing via (BCS_ISD). The method consists of two main parts: signal value estimation and detection. ISD estimates a set S from current reconstruction obtains new by MMSE estimator, then it iterates these steps for small number times. BCS_ISD converges fast reconstructs more exactly than other belief propagation (BP) approaches....
In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks (WSNs) with random deployment anchor nodes. model, select nodes which have the strongest received signal strength (RSS) estimation, centroid algorithm and method intersection judgment are used to estimate unknown To further exploit nearest TP, enhanced (ETP) is proposed. The simulation results show that proposed models outperform MMSE BML terms localization accuracy WSNs....
The heat transfer and pressure drop characteristics for water flowing in four spiral coils with different shapes sizes were experimental studied. Reynolds number range from 4000 to 9000, volume flow rate 200 350 L/h heating power 80-350 W. Based on the results, regularity of influencing was analyzed discussed. results indicate: Nu increases increasing Re , greatest average coefficient appears smaller circular coil. coefficients increase power, also drops big ellipse coil is greatest....
In order to solve the high computational complexity problem of gradient pursuit in compressed sensing, we applied multi-step quasi-Newton method and proposed a algorithm based on (MSQN-GP). The MSQN-GP uses pre-multiple information approximate inverse matrix Hessian objective function, this scheme is efficiently update direction problem, while avoiding complex inversion operations. Firstly, give detailed theoretical derivation, which proved that has both decent property steepest descent...
As unmanned aerial vehicles (UAVs) are being used in more complex scenarios, Multi-UAV networking such as flying ad hoc networks (FANET) has become an important focus of UAV applications. To solve the problem that FANET's performance is limited by spectrum resources, this letter examines collaborative sharing between FANET and cellular (CN). In order to optimize transmission rate address incentive security issues related sharing, proposes a blockchain-based secure cooperative...
As Reconfigurable Intelligent Surface (RIS) technology can intelligently reflect the incident signal, it be deployed to maintain a line-of-sight connection and improve signal strength between unmanned Aerial Vehicles (UAV) users. Current researches on RIS-assisted UAV communication typically consider optimizing data rates for single-line communications do not focus energy consumption of UAV. Furthermore, is frequently challenging apply conventional algorithms optimization problems in timely...
A kind of intelligent visual sensor system, which is mainly composed a laser lighting source and an camera based on FPGA DSP, designed using the triangle structured light principle for welding seam recognition. Intending to meet high-precision demands, one hand, components such as source, optical lens, optic are selected errors caused by these parts analyzed. Furthermore, models built simulation given optimize path parameters. On other methods image processing recognition DSP explained....