A5101426602- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Advanced Control Systems Optimization
- Neural dynamics and brain function
- Metaheuristic Optimization Algorithms Research
- Advanced Steganography and Watermarking Techniques
- Corporate Finance and Governance
- Financial Reporting and Valuation Research
- Artificial Immune Systems Applications
- Advanced Control Systems Design
- Robotic Path Planning Algorithms
- Extremum Seeking Control Systems
- Chaos-based Image/Signal Encryption
- Advanced Algorithms and Applications
- Distributed Control Multi-Agent Systems
- Stability and Control of Uncertain Systems
- Magnetic confinement fusion research
- Advanced Computational Techniques and Applications
- Context-Aware Activity Recognition Systems
- Spectroscopy and Chemometric Analyses
- Sleep and Work-Related Fatigue
- Plant Surface Properties and Treatments
- Traditional Chinese Medicine Studies
- Advanced Memory and Neural Computing
- Artificial Intelligence in Healthcare
University of Shanghai for Science and Technology
2005-2025
Changchun University of Technology
2024
Anhui University of Finance and Economics
2023
Donghua University
2021
University of Georgia
2018-2020
University of California, San Francisco
2020
Dominion (United States)
2018
Tsinghua University
2016
Ithaca College
2012
Aiming at the three-dimensional path planning of unmanned aerial vehicle (UAV) in complex environment material delivery earthquake-stricken areas, this paper proposes an improved adaptive grey wolf optimization algorithm (AGWO) based on (GWO). There are two main contributions proposed method. Firstly, we propose convergence factor adjustment strategy and weight to update individual's position. The effectiveness is verified by analysis test function simulation experiment. Secondly, applied...
In this work, we conduct comprehensive comparisons between four variants of independent component analysis (ICA) methods and three sparse dictionary learning (SDL) methods, both at the subject-level, by using synthesized fMRI data with ground-truth. Our results showed that ICA perform very well slightly better than SDL when functional networks' spatial overlaps are minor, but have difficulty in differentiating networks moderate or significant overlaps. contrast, algorithms consistently no...
ABSTRACT This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University Shanghai for Science Technology. We conducted a questionnaire survey to assess awareness usage habits these LLMs among ICE courses, focusing on model types, frequency, self‐study tasks post‐usage feedback. The results indicate that ChatGPT is most frequently used undergraduates. Furthermore, we evaluated performance GPT‐3.5 GPT‐4...
Traditional walkers are commonly used for the elderly in social life, which solves basic problem of walking, but it is difficult to ensure safety when a fall occurs, and human-computer interaction poor. The image recognition method or IMU sensor fixed on user, such as wearable watch, by most current detection methods. Wearable sensors require user's wearing operation, little troublesome, accuracy related way wearing. requires high-priced camera installation position, unable adapt outdoor...
Nondestructive detection of thin-skinned fruit bruising is one the main challenges in automated grading post-harvest fruit. The structured-illumination reflectance imaging (SIRI) an emerging optical technique with potential for bruises.This study presented pioneering application low-cost visible-LED SIRI detecting early subcutaneous bruises 'Korla' pears. Three types degrees (mild, moderate and severe) ten sets spatial frequencies (50, 100, 150, 200, 250, 300, 350, 400, 450 500 cycles m-1)...
An improved analytical tuning rule of a Proportional-Integral-Derivative (PID) controller for integrating systems with time delay is proposed using the direct synthesis method and multiple dominant pole-placement approach. Different from traditional method, desired characteristic equation obtained by placing third-order poles at −1/λ second-order non-dominant −5/λ (λ parameter). According to root locus theory, are nearly symmetrically located two sides fifth-order poles. This makes closer...
Resting state functional magnetic resonance imaging (rsfMRI) data provides a unique window for the investigation of human brain's intrinsic mechanism. However, it is still an open question how to analyze and model brain connectivity networks via rsfMRI due variability different individual brains, noisy signals from data, technical limitations current decomposition methods. In this work, we proposed two-stage deep learning framework both temporal spatial analysis with application on autism...
<abstract> <b>Abstract.</b> The performance of machine learning methods is heavily dependent on the choice features. Elaborate feature design a way to take advantage human ingenuity and prior knowledge. Such work important but labor-intensive highlights weakness many traditional algorithms. Recent findings have made deep layered hierarchical representations data possible. This methodology has been devoted algorithms for architectures such as Deep Belief Networks Sparse Autoencoder based...
A novel tuning method for proportion-integral-derivative (PID) controller based on improved particle swarm optimization (PSO) algorithm unstable plants with time delay is proposed in this paper. The PSO can find the optimal solution from a start point given by Ziegler-Nichols (Z-N) and adjust search range adaptively. co-operation of Z-N reduce iteration times meet multi-objective as well give an better performance. Moreover, set weighted parameter added to overshoot closed loop system. In...
Unlisted acquisitions differ from listed ones in three important aspects: the possibility of forming blockholders, which substitute debt as a monitoring mechanism; liquidity discount, mitigates managerial hubris; and distinct deal process through two-sided asymmetric information is revealed. Due to these differences, same firm characteristics could induce heterogeneous market responses, depending on target listing status. We find that such responses exist usual method payment, relative size,...
In networked systems, signal fading and packet loss occur due to limited bandwidth during transmission. To solve these problems, amplify-and-forward (AF) relay redundant channels are considerd in the traditional robust model predictive control (RMPC) problem, a novel design method for dynamic output feedback controller is propsoed this paper. addition min-max method, mathematical expectation introduced deal with uncertainty of system randomness protocol parameters, sufficient conditions...
In quantum information processing, it is important to witness the entropy of message in device-independent way which was proposed recently [R. Chaves, J. B. Brask, and N. Brunner, Phys. Rev. Lett. 115, 110501 (2015)]. this paper, we theoretically obtain minimal for three widely used linear dimension witnesses, considered ``a difficult question.'' Then experimentally test classical a manner. The experimental results agree well with theoretical analysis, demonstrating that needed systems lower...