Liuyi Ling
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View article: Continuous Lower-Limb Joint Angle Prediction Under Body Weight-Supported Training Using AWDF Model
Continuous Lower-Limb Joint Angle Prediction Under Body Weight-Supported Training Using AWDF Model Open
Exoskeleton-assisted bodyweight support training (BWST) has demonstrated enhanced neurorehabilitation outcomes in which joint motion prediction serves as the critical foundation for adaptive human–machine interactive control. However, join…
View article: Defect apple recognition based on spectral imaging and improved ant lion optimized regularization extreme learning machine
Defect apple recognition based on spectral imaging and improved ant lion optimized regularization extreme learning machine Open
To address the problem of poor accuracy in identifying defective apples using traditional image-based methods, we propose a method for identifying damaged apples that combines multispectral imaging with an Improved Ant Lion Optimization-ba…
View article: Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals
Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals Open
Continuous prediction of human joint angles is crucial for enhancing the performance of man-machine cooperative control. This study proposed a random forest (RF) model optimized by the sparrow search algorithm (SSA) for achieving continuou…
View article: Real-Time Detection and Instance Segmentation of Strawberry in Unstructured Environment
Real-Time Detection and Instance Segmentation of Strawberry in Unstructured Environment Open
The real-time detection and instance segmentation of strawberries constitute fundamental components in the development of strawberry harvesting robots. Real-time identification of strawberries in an unstructured environment is a challengin…
View article: Design of a Teat Cup Attachment Robot for Automatic Milking Systems
Design of a Teat Cup Attachment Robot for Automatic Milking Systems Open
Automatic milking systems (AMSs) for medium and large dairy farms in China require manual assistance to attach the teat cup, which greatly affects the milking efficiency and labor costs. In this regard, it is necessary to realize the autom…
View article: Depth‐aware lightweight network for RGB‐D salient object detection
Depth‐aware lightweight network for RGB‐D salient object detection Open
RGB‐D salient object detection (SOD) is to detect salient objects from one RGB image and its depth data. Although related networks have achieved appreciable performance, they are not ideal for mobile devices since they are cumbersome and t…
View article: A pptv Level Incoherent Broadband Cavity-Enhanced Absorption Spectrometer for the Measurement of Atmospheric NO3
A pptv Level Incoherent Broadband Cavity-Enhanced Absorption Spectrometer for the Measurement of Atmospheric NO3 Open
NO3 radicals are one of the very important trace gases in the atmosphere. Accurate measurements of NO3 can provide data support for atmospheric chemistry research. Due to the extremely low content of NO3 radicals in the atmosphere, it is a…
View article: An Efficient Method for Identifying Lower Limb Behavior Intentions Based on Surface Electromyography
An Efficient Method for Identifying Lower Limb Behavior Intentions Based on Surface Electromyography Open
Surface electromyography (sEMG) is widely used for analyzing and controlling lower limb assisted exoskeleton robots. Behavior intention recognition based on sEMG is of great significance for achieving intelligent prosthetic and exoskeleton…
View article: A Lightweight Bearing Fault Diagnosis Method Based on Multi-Channel Depthwise Separable Convolutional Neural Network
A Lightweight Bearing Fault Diagnosis Method Based on Multi-Channel Depthwise Separable Convolutional Neural Network Open
The existing rolling bearing fault diagnosis method based on the deep convolutional neural network has the issues of insufficient feature extraction ability, poor anti-noise ability, and a large number of model parameters. A lightweight be…
View article: Research on Insulator Defect Detection Based on an Improved MobilenetV1-YOLOv4
Research on Insulator Defect Detection Based on an Improved MobilenetV1-YOLOv4 Open
Insulator devices are important for transmission lines, and defects such as insulator bursting and string loss affect the safety of transmission lines. In this study, we aim to investigate the problems of slow detection speed and low effic…
View article: Lithium Battery SOC Estimation Based on Multi-Innovation Unscented and Fractional Order Square Root Cubature Kalman Filter
Lithium Battery SOC Estimation Based on Multi-Innovation Unscented and Fractional Order Square Root Cubature Kalman Filter Open
Accurate state-of-charge (SOC) estimation of lithium batteries is of great significance for electric vehicles. In this paper, a combined estimation method of multi-innovation unscented Kalman filter (MIUKF) and fractional order square root…
View article: Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction
Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction Open
It is challenging for a battery management system to estimate the State-Of-Charge (SOC) of batteries. A novel model-based method, using a Dual Extended Kalman Filtering algorithm (DEKF) and Back Propagation Neural Network (BPNN), is propos…
View article: State-of-Charge Estimation for Lithium-Ion Batteries Based on Temperature-Based Fractional-Order Model and Dual Fractional-Order Kalman Filter
State-of-Charge Estimation for Lithium-Ion Batteries Based on Temperature-Based Fractional-Order Model and Dual Fractional-Order Kalman Filter Open
Accurate state-of-charge (SOC) estimation of batteries is of great significance for electric vehicles. Ambient temperature influences the relationship between open-circuit voltage (OCV) and SOC as well as model parameter and, accordingly, …
View article: State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models
State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models Open
The accuracy of state of charge estimation results will directly affect the performance of battery management system. Due to such, we focus in this article on the SOC estimation of Lithium-Ion batteries based on a fractional second-order R…
View article: State-of-Charge and State-of-Health Estimation for Lithium-Ion Batteries Based on Dual Fractional-Order Extended Kalman Filter and Online Parameter Identification
State-of-Charge and State-of-Health Estimation for Lithium-Ion Batteries Based on Dual Fractional-Order Extended Kalman Filter and Online Parameter Identification Open
Accurate state-of-charge (SOC) and state-of-health (SOH) estimations of batteries are of great significance for electric vehicles. A combined SOC and SOH estimation method for lithium-ion batteries based on a dual extended Kalman filter (E…
View article: Analysis and implementation of SDH protocol in 10Gbps POS signal
Analysis and implementation of SDH protocol in 10Gbps POS signal Open
The data transmission network based on synchronous digital Hierarchy (SDH) can fundamentally solve the problems of capacity, quality, network management, security and so on in the network transmission of IP services. POS (Packet Over SDH) …
View article: Distributed optical fiber temperature sensor based on self-compensation of fitting attenuation difference
Distributed optical fiber temperature sensor based on self-compensation of fitting attenuation difference Open
The temperature error caused by the essential loss and the additional loss of Stokes light and anti-Stokes light widely exist in the distributed optical fiber temperature sensor (DTS). According to the temperature demodulation principle of…
View article: Research on MSK Demodulation Method for M-Sequence in IFF System
Research on MSK Demodulation Method for M-Sequence in IFF System Open
M-Sequence, short for Maximum Linear Feedback Shift Register Sequence, is widely used in identification friend or foe (IFF) system because of its good equalization and autocorrelation characteristics, and Minimum Shift Keying (MSK) signal …
View article: Discussion on the Practical Teaching Reform of Electronic Information Major from Electronic Design Contest
Discussion on the Practical Teaching Reform of Electronic Information Major from Electronic Design Contest Open
The National Undergraduate Electronic Design Contest is helpful to cultivate practical innovative professionals, and it has positive effect on the practical teaching of electronic information major. In view of the many drawbacks existing i…
View article: Hotel Overbooking and Cooperation with Third-Party Websites
Hotel Overbooking and Cooperation with Third-Party Websites Open
Hotels cooperate with third-party websites to enhance their competitive position and attain sustainable development in the era of e-commerce. Furthermore, hotel managers overbook to hedge against last-minute cancellations and customer no-s…
View article: Diode laser cavity ring-down spectroscopy for in situ measurement of NO3 radical in ambient air
Diode laser cavity ring-down spectroscopy for in situ measurement of NO3 radical in ambient air Open
A cavity ring-down spectroscopy (CRDS) instrument for measuring atmospheric NO3 radical developed in our laboratory is presented in detail. Light from a red laser diode (661.85 nm) is coupled on-axis into an optical cavity formed by a pair…
View article: Full ranking procedure based on best and worst frontiers
Full ranking procedure based on best and worst frontiers Open
In the traditional data envelopment analysis (DEA) structure, the efficiency score for one decision making unit (DMU) is calculated by measuring the distance of the evaluated DMU to the best practice frontier. Recent researches have provid…
View article: Incoherent broadband cavity enhanced absorption spectroscopy for measurements of atmospheric HONO
Incoherent broadband cavity enhanced absorption spectroscopy for measurements of atmospheric HONO Open
We report the development of an incoherent broadband cavity enhanced absorption spectroscopy (IBBCEAS) based on an ultraviolet light emitting diode (UV-LED), and the IBBCEAS instrument is used for simultaneously measuring of the atmospheri…
View article: A concentration retrieval method for incoherent broadband cavity-enhanced absorption spectroscopy based on O2-O2 absorption
A concentration retrieval method for incoherent broadband cavity-enhanced absorption spectroscopy based on O2-O2 absorption Open
Incoherent broadband cavity-enhanced absorption spectroscopy (IBBCEAS) has a very high detection sensitivity, nevertheless the quantitative results retrieved by the traditional concentration retrieval method are affected by the calibration…