Junfei Qiao
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View article: Block Backstepping for Isotachic Hyperbolic PDEs and Multilayer Timoshenko Beams
Block Backstepping for Isotachic Hyperbolic PDEs and Multilayer Timoshenko Beams Open
In this paper, we investigate the rapid stabilization of N-layer Timoshenko composite beams with anti-damping and anti-stiffness at the uncontrolled boundaries. The problem of stabilization for a two-layer composite beam has been previousl…
View article: Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization
Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization Open
Dynamic optimization problems are pervasive in various fields, ranging from chemical process control to aerospace, autonomous driving, physics, robotics, and beyond. These problems involve optimizing a dynamic system considering inputs, pa…
View article: Secure Consensus of Multiagent Systems With DoS Attacks via Fully Distributed Dynamic Event-Triggered Control
Secure Consensus of Multiagent Systems With DoS Attacks via Fully Distributed Dynamic Event-Triggered Control Open
This article investigates the secure consensus problem of general linear multiagent systems with denial-of-service (DoS) attacks. Owning to the existence of DoS attacks, it is challenging to investigate the event-triggered control of multi…
View article: Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge Open
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
View article: PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning
PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning Open
This article devises a photograph-based monitoring model to estimate the real-time PM2.5 concentrations, overcoming currently popular electrochemical sensor-based PM2.5 monitoring methods' shortcomings such as low-density spatial distribut…
View article: Guaranteed cost stabilization control of discrete‐time switched systems
Guaranteed cost stabilization control of discrete‐time switched systems Open
This paper is concerned with the guaranteed cost control problem of a class of linear discrete‐time switched systems with parametric uncertainties. Both state‐based and dynamic output‐based robust stabilization problems are investigated by…
View article: Photo-Based Monitoring of Particulate Matter in the Campus: A New Strategy for Student Health
Photo-Based Monitoring of Particulate Matter in the Campus: A New Strategy for Student Health Open
It is imperative for the students’ future health to ensure the students in good physical levels. Recent years have witnessed the increasingly serious harm to student health caused by the continually growing concentration of Particulate Mat…
View article: AQPDBJUT Dataset: Picture-Based PM Monitoring in the Campus of BJUT
AQPDBJUT Dataset: Picture-Based PM Monitoring in the Campus of BJUT Open
Ensuring the students in good physical levels is imperative for their future health. In recent years, the continually growing concentration of Particulate Matter (PM) has done increasingly serious harm to student health. Hence, it is highl…
View article: Local Proportional-Integral Boundary Feedback Stabilization for Quasilinear Hyperbolic Systems of Balance Laws
Local Proportional-Integral Boundary Feedback Stabilization for Quasilinear Hyperbolic Systems of Balance Laws Open
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View article: Simple and Efficient Smoke Segmentation Based on Fully Convolutional Network
Simple and Efficient Smoke Segmentation Based on Fully Convolutional Network Open
In this paper, a shallow fully convolutional network for image smoke segmentation is designed to solve the real-time monitoring of smoke emitted by the flare stack. This algorithm can quickly and effectively distinguish the smoke area in t…
View article: An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection
An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection Open
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
View article: Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data Open
In this paper we investigate into the problem of image quality assessment (IQA) and enhancement via machine learning. This issue has long attracted a wide range of attention in computational intelligence and image processing communities, s…
View article: Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances Open
In this work, we resolve a big challenge that most current image quality metrics (IQMs) are unavailable across different image contents, especially simultaneously coping with natural scene (NS) images or screen content (SC) images. By comp…
View article: Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity
Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity Open
Fault monitoring of multiphase batch process is a difficult problem in multivariate statistical process monitoring. It needs to consider not only the process monitoring under stable mode, but also the transition mode with strong dynamic no…