A5101660399- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Video Surveillance and Tracking Methods
- Stability and Control of Uncertain Systems
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Organic Electronics and Photovoltaics
- Adaptive Control of Nonlinear Systems
- Multimodal Machine Learning Applications
- Anomaly Detection Techniques and Applications
- Conducting polymers and applications
- Higher Education and Teaching Methods
- Robot Manipulation and Learning
- Hand Gesture Recognition Systems
- Technology Adoption and User Behaviour
- Advanced biosensing and bioanalysis techniques
- Time Series Analysis and Forecasting
- Perovskite Materials and Applications
- Data-Driven Disease Surveillance
- Coal and Its By-products
- Optical Wireless Communication Technologies
- Advanced Control Systems Design
- Robotics and Automated Systems
- Advanced Computational Techniques and Applications
Shandong University
2010-2025
Qilu University of Technology
2015-2025
Shandong Academy of Sciences
2018-2025
Wuhan Textile University
2025
Hohai University
2024
Institut national de recherche en informatique et en automatique
2024
State Key Laboratory of Crystal Materials
2024
Chinese Academy of Sciences
2009-2024
Lanzhou University
2024
Institute of Information Engineering
2024
Real-time object tracking has wide applications in time-critical multimedia processing areas such as motion analysis and human-computer interaction. It remains a hard problem to balance between accuracy speed. In this paper, we present fast real-time context-based visual algorithm with new saliency prior context (SPC) model. Based on the probability formulation, is solved by sequentially maximizing computed confidence map of target location each video frame. To handle various cases feature...
In recent years, the emergence of high‐efficiency nonfullerene acceptors (NFAs) has pushed power conversion efficiency (PCE) beyond 19% in organic solar cells (OSCs). For solution processing photoactive layers, study solvent properties on device performance become a hot research topic toward up‐scaling. Herein, key roles balancing polarity and drying kinetics for small molecular NFAs high‐performance OSCs are revealed. It is demonstrated that synergistic effect significantly affects...
In order to solve the problem of high computational resource consumption in fabric anomaly detection, we propose a lightweight network, GH-YOLOx, which integrates ghost convolutions and hierarchical GHNetV2 backbone together capture both local global features. At same time, other innovative components, such as GhostConv, dynamic convolutions, feature fusion modules, shared group convolution head, are applied effectively handle multi-scale issues. Lamp pruning accelerates inference, while...
Respiration rate and volume are important physiological indicators of human health. They can indicate cardiovascular health status cardiopulmonary function. Here, we demonstrate a compact breath monitoring system based on wearable tilted fiber Bragg grating (TFBG) curvature sensor for respiration monitoring. With the assistance custom designed breathing tube, TFBGs provide very reproducible highly sensitive, real time response to changes during respiration. The miniaturized cost effective...
Abstract The investigation of drying dynamics and kinetic quenching depth related degradation high‐performance photoactive materials with scalable coating techniques demands significant research attention. Herein, film formation kinetics regulated crystallinity, preferential orientation vertical phase separation the active layers is revealed, which then further affects exciton diffusion, dissociation, charge‐transport recombination processes. By suppressing over aggregation/crystallization...
Abstract As the efficiency of single‐junction organic solar cells (OSCs) is about to break 20%, more research effort needed achieve long‐term device stability for commercialization. The complex active layer microstructure bulk‐heterojunctions challenges degradation mechanism study, especially morphological changes under thermal stress. In this work, issue can be overcome by employing planar‐heterojunction (PHJ) OSCs with well‐defined bi‐layered structures, which enables effective control...
The enzyme-linked apta-sorbent assay (ELASA) is widely used for the detection of small-molecule compounds as a result low cost and reagent stability aptamers. However, enzyme labels in ELASA still suffer from some drawbacks, such high production limited stability. To overcome we reported nanozyme-linked (NLASA) coupled with surface-enhanced Raman scattering (SERS)-colorimetric dual-mode detection. For nanozyme labels, Pd-Pt bimetallic nanocrystals (Pd-Pt NRs) could catalyze...
This paper applies game theory to multi-robot hunting target problem. A coordinated model based on extended cooperation is established. And obstacle avoidance and two kinds of searching strategies--roaming search regional are proposed. Then an effective escape strategy for the also presented. Finally whole process task analyzed. The algorithm using non-formation movement execute more flexibly. simulation verifies feasibility method.
The stability performance of the buoy is an important parameter that should be taken into account when designing marine buoys. This paper introduces a theoretical and numerical analysis method to examine buoys, including initial large inclination by calculating natural period, metacentric height, static stability, dynamic deriving calculation process lever in detail obtain righting moment, so on, showing designed this has sufficient with theoretically excellent resistance wind waves....
In actual scenarios, industrial and cloud computing platforms usually need to monitor equipment traffic anomalies through multivariable time series data. However, the existing anomaly detection methods can not capture long-distance temporal correlations of data potential relationships between features simultaneously, only have high accuracy for specific sequence scenarios without good generalization ability. This paper proposes a time-series anomaly-detection framework multiple Anomaly-PTG...
Abstract The admissible consensus problem of singular multi‐agent systems (SMASs) with mismatched norm‐bounded parametric uncertainties and unknown disturbances is investigated by an integral sliding mode technique. Under a directed spanning tree network the state transmission graph, error states are defined. Then linear matrix inequality (LMI)‐based sufficient condition presented to guarantee regularity, free impulse, quadratic stability H ∞ performance dynamics states. Next, manifold...
Univariate multi-step time series forecasting (UMTF) has many applications, such as the forecast of access traffic. The solution to UMTF problem needs efficiently capture key information in univariate data and improve accuracy forecasting. advent deep learning (DL) enables multi-level, high-performance prediction complex multivariate inputs, but research problems is extremely scarce. Existing methods cannot satisfy recent tasks terms accuracy, efficiency, etc. This paper proposes a...
The gas sensors have been widely used in various fields, to protect the safety of life and property. A novel heterostructure Fe-O-Ti nanoparticles is fabricated by hydrothermal wet chemical deposition methods. with a large number pores possess high surface area, which favour high-performance sensors. Compared pure Fe2O3 TiO2, composite exhibits obviously enhanced sensing characteristics, such as faster response-recovery time (Tres = 6 s, Trec 48 s), higher response (response 35.6) better...
We study the problem of robust pedestrian detection. A new descriptor, Pyramidal Statistics Oriented Filtering (PSOF), is proposed for shape representation. Unlike one-scale gradient-based methods, PSOF descriptor constructs an image pyramid and uses a Gabor filter bank to obtain multi-scale pixel-level orientation information. Then, locally normalized pyramidal statistics these responses are used represent object shape. After feature extraction, AdaBoost training algorithm adopted train...
Unlike conventional human detection in RGB images or intensity images, we investigate three dimensional (3D) Human and tracking depth sequence this paper. Boundary problem is a critical issue that influences performance of tracking. In paper design system consisting Microsoft Kinect stepping motor, which can guarantee people always stay the center camera vision. Clearly, boundary be solved efficiently. We also establish an database, contains for evaluation proposed auto-tracking system....