Xiyuan Peng
YOU?
Author Swipe
View article: Accurate Thickness Characterization of Glass Fiber-Reinforced Composites Using Terahertz Dispersion Compensation Method Based on Sparse Representation
Accurate Thickness Characterization of Glass Fiber-Reinforced Composites Using Terahertz Dispersion Compensation Method Based on Sparse Representation Open
Terahertz (THz) technology, a new nondestructive testing (NDT) approach with frequencies generally ranging from 100 GHz to 10 THz, has been widely used by virtue of its excellent penetration and high spatial–temporal resolution for non-met…
View article: A Study on the Effects of Two Teaching Approaches on Music Appreciation
A Study on the Effects of Two Teaching Approaches on Music Appreciation Open
The purpose of this study is to examine students’ preferences between two music appreciation teaching methods, historical and analytical analysis, with a group of 120 students enrolled in music appreciation classes in a university in Jiang…
View article: Associations Between Academic Stress and Depressive Symptoms Mediated by Anxiety Symptoms and Hopelessness Among Chinese College Students
Associations Between Academic Stress and Depressive Symptoms Mediated by Anxiety Symptoms and Hopelessness Among Chinese College Students Open
Chang Zhang,1,2 Lijuan Shi,3 Tong Tian,3 Ziwei Zhou,3 Xiyuan Peng,3 Yidong Shen,4 Yamin Li,1,2 Jianjun Ou4 1Xiangya Nursing School, Central South University, Changsha, China; 2Clinical Nursing Teaching and Research Section, The Second Xian…
View article: A Fault Diagnosis Method of Modular Analog Circuit Based on SVDD and D–S Evidence Theory
A Fault Diagnosis Method of Modular Analog Circuit Based on SVDD and D–S Evidence Theory Open
In the actual fault diagnosis process of an analog circuit, there is often a problem due to the lack of fault samples, leading to the low-accuracy of diagnostic models. Therefore, using positive samples that are easy to obtain to establish…
View article: Joint estimation of carrier frequency and two-dimensional arrival angle based on L-shaped delay array modulation wideband converter
Joint estimation of carrier frequency and two-dimensional arrival angle based on L-shaped delay array modulation wideband converter Open
As the signal spectrum in modern information technology becomes wider and wider, multi-band signals are distributed in a frequency range of tens of GHz. It covers a very wide spectrum but each RF signal has a very narrow band, and the dist…
View article: Sparse Autoencoder Based Manifold Analyzer Model of Multi-Angle Target Feature
Sparse Autoencoder Based Manifold Analyzer Model of Multi-Angle Target Feature Open
Automatic target recognition (ATR) has always been an important research topic, and the performance is affected by feature extraction. High-resolution range profiles (HRRP) contains structural information of target from different angles. E…
View article: Design of airborne target tracking accelerator based on KCF
Design of airborne target tracking accelerator based on KCF Open
The on‐board target tracking of unmanned aerial vehicle (UAV) relies on on‐board computer to process the collected ground image information, and then use the target tracking algorithm to achieve the target tracking function, which provides…
View article: Performance Sensing Data Prediction for an Aircraft Auxiliary Power Unit Using the Optimized Extreme Learning Machine
Performance Sensing Data Prediction for an Aircraft Auxiliary Power Unit Using the Optimized Extreme Learning Machine Open
The aircraft auxiliary power unit (APU) is responsible for environmental control in the cabin and the main engines starting the aircraft. The prediction of its performance sensing data is significant for condition-based maintenance. As a c…
View article: UAV Sensor Fault Detection Using a Classifier without Negative Samples: A Local Density Regulated Optimization Algorithm
UAV Sensor Fault Detection Using a Classifier without Negative Samples: A Local Density Regulated Optimization Algorithm Open
Fault detection for sensors of unmanned aerial vehicles is essential for ensuring flight security, in which the flight control system conducts real-time control for the vehicles relying on the sensing information from sensors, and erroneou…
View article: Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model
Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model Open
Telemetry series, generally acquired from sensors, are the only basis for the ground management system to judge the working performance and health status of orbiting spacecraft. In particular, anomalies within telemetry can reflect sensor …
View article: Deep Learning Prognostics for Lithium-Ion Battery Based on Ensembled Long Short-Term Memory Networks
Deep Learning Prognostics for Lithium-Ion Battery Based on Ensembled Long Short-Term Memory Networks Open
In recent years, a notable development for predicting the remaining useful life (RUL) of components is prognostics that use data-driven approaches based on deep learning. In particular, long short-term memory networks (LSTMNs) have been su…
View article: A Hardware-Software Co-Design Real-Time Electric Simulative Load System for Airplane
A Hardware-Software Co-Design Real-Time Electric Simulative Load System for Airplane Open
In view of the demand for the different output power of generators in the relevant test projects during the flight test, this paper proposes a real-time aircraft electric simulative load system based on CompactRIO (cRIO)-embedded controlle…
View article: Optimize the Coverage Probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series
Optimize the Coverage Probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series Open
Effective anomaly detection of sensing data is essential for identifying potential system failures. Because they require no prior knowledge or accumulated labels, and provide uncertainty presentation, the probability prediction methods (e.…
View article: Multi-Frequency Test Generation for Incipient Faults in Analog Circuits Based on the Aliasing Measuring Model
Multi-Frequency Test Generation for Incipient Faults in Analog Circuits Based on the Aliasing Measuring Model Open
A novel method of generating multi-frequency test stimuli for incipient faults is presented to improve the fault detection accuracy of analog circuits. This paper analyzes the primary cause of low incipient fault detection accuracy and ind…
View article: TSV-Defect Modeling, Detection and Diagnosis Based on 3-D Full Wave Simulation and Parametric Measurement
TSV-Defect Modeling, Detection and Diagnosis Based on 3-D Full Wave Simulation and Parametric Measurement Open
In this paper, we present a TSV low-bandwidth equivalent lumped circuit model of common TSV defects as analyzed using a high-frequency structure simulator 3-D full wave simulation. By using the proposed model, the physical parameters of TS…
View article: Fully Pipelined Soft Vector Processor as a CPU Accelerator
Fully Pipelined Soft Vector Processor as a CPU Accelerator Open
FPGA based soft vector processing accelerators are used frequently to perform highly parallel data processing tasks. Since they are not able to implement complex control manipulations using software, most FPGA systems now incorporate eithe…
View article: A new joint channel equalization and estimation algorithm for underwater acoustic channels
A new joint channel equalization and estimation algorithm for underwater acoustic channels Open
Underwater acoustic channel (UAC) is one of the most challenging communication channels in the world, owing to its complex multi-path and absorption as well as variable ambient noise. Although adaptive equalization could effectively elimin…
View article: Lithium-ion Battery Remaining Useful Life Prediction with Long Short-term Memory Recurrent Neural Network
Lithium-ion Battery Remaining Useful Life Prediction with Long Short-term Memory Recurrent Neural Network Open
Lithium-ion batteries play critical roles in many electronic devices. It is necessary to develop a reliable and accurate remaining useful life (RUL) prediction approach to provide timely maintenance or replacement of battery systems. A nov…
View article: NBTI and Power Reduction Using an Input Vector Control and Supply Voltage Assignment Method
NBTI and Power Reduction Using an Input Vector Control and Supply Voltage Assignment Method Open
As technology scales, negative bias temperature instability (NBTI) becomes one of the primary failure mechanisms for Very Large Scale Integration (VLSI) circuits. Meanwhile, the leakage power increases dramatically as the supply/threshold …
View article: An Energy-Efficient Routing Algorithm in Three-Dimensional Underwater Sensor Networks Based on Compressed Sensing
An Energy-Efficient Routing Algorithm in Three-Dimensional Underwater Sensor Networks Based on Compressed Sensing Open
Compressed sensing (CS) has become a powerful tool to process data that is correlated in underwater sensor networks (USNs). Based on CS, certain signals can be recovered from a relatively small number of random linear projections. Since th…
View article: Fragment Anomaly Detection With Prediction and Statistical Analysis for Satellite Telemetry
Fragment Anomaly Detection With Prediction and Statistical Analysis for Satellite Telemetry Open
In aerospace engineering, condition monitoring is an important reference for evaluating the performance of complex systems. Especially, effective anomaly detection, based on telemetry data, plays an important role for the system health man…
View article: NBTI-Aware Transient Fault Rate Analysis Method for Logic Circuit Based on Probability Voltage Transfer Characteristics
NBTI-Aware Transient Fault Rate Analysis Method for Logic Circuit Based on Probability Voltage Transfer Characteristics Open
The reliability of Very Large Scale Integration (VLSI) circuits has become increasingly susceptible to transient faults induced by environmental noise with the scaling of technology. Some commonly used fault tolerance strategies require st…
View article: Directly Estimating Endmembers for Compressive Hyperspectral Images
Directly Estimating Endmembers for Compressive Hyperspectral Images Open
The large volume of hyperspectral images (HSI) generated creates huge challenges for transmission and storage, making data compression more and more important. Compressive Sensing (CS) is an effective data compression technology that shows…