A5101501871- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
- EEG and Brain-Computer Interfaces
- Remote-Sensing Image Classification
- Advanced Causal Inference Techniques
- Remote Sensing and Land Use
- Dyeing and Modifying Textile Fibers
- Peanut Plant Research Studies
- Soil erosion and sediment transport
- Silk-based biomaterials and applications
- Robot Manipulation and Learning
- Health Systems, Economic Evaluations, Quality of Life
- Neural Networks and Applications
- Remote Sensing and LiDAR Applications
- Healthcare Policy and Management
- Analytical Chemistry and Chromatography
- biodegradable polymer synthesis and properties
- Remote Sensing in Agriculture
- Industrial Technology and Control Systems
- Automated Road and Building Extraction
- Engineering Education and Curriculum Development
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Advanced Chemical Sensor Technologies
- GNSS positioning and interference
Hunan University of Technology
2023-2025
Hainan University
2025
Harbin Engineering University
2006-2024
China Tobacco
2022-2024
Nanjing University
2023
University of Waterloo
2016-2023
Nanyang Technological University
2023
Zhengzhou University
2023
Nanjing University of Information Science and Technology
2019-2022
Ministry of Industry and Information Technology
2022
The real-time microbial growth curve system provides fully automated, high-throughput monitoring of with comparable precision to conventional microplate readers, though it offers longer times.
Abstract A steady‐state visually evoked potential (SSVEP) is a brain response to specific frequencies of visual stimuli, including their harmonic frequencies. However, this signal susceptible interference from spontaneous and rhythms in electroencephalography (EEG) signals because they overlap 8 40 Hz. This can reduce the recognition accuracy SSVEP brain–computer interfaces (BCIs). To address problem, variational mode decomposition–based filter bank canonical correlation analysis (VMD‐FBCCA)...
The accurate determination of the free nicotine content in tobacco is great importance for quality assessment leaves and cigarettes, as well study tar reduction cigarette formulation. A method based on solvent extraction gas chromatography-mass spectrometry (GC-MS) was established direct tobacco. Free from optimized, using different solvents physical techniques (shaking, ultrasonic oscillation, static extraction). Ultimately, a 24 h with cyclohexane, followed by GC-MS analysis, gave superior...
Current developments in globalized markets lead to an increasing need for flexible and agile production systems. Especially within automated assembly stations, the human worker still embodies a major role, essentially his adaptability problem solving skills unplanned scenarios, that be coordinated efficient safe way. Nevertheless, physical safety human-robot coexistence represents key requirement system productivity acceptance. Along with optimized deployment of both robotic skills,...
The global ionosphere map (GIM) is not capable of serving precise positioning and navigation for single frequency receivers in Australia due to sparse International GNSS Service (IGS) stations located the vast land. This study proposes an approach represent Australian total electron content (TEC) using spherical cap harmonic analysis (SCHA) artificial neural network (ANN). new TEC maps are released with interval 15 min longitude latitude 0.5° × 0.5°. validation results show that Ionospheric...
Path planning is an important problem with the applications in many aspects, such as video games, robotics etc. This paper proposes a novel method to address of Deep Reinforcement Learning (DRL) based path for mobile robot. We design DRL-based algorithms, including reward functions, and parameter optimization, avoid time-consuming work 2D environment. also designed Two-way search hybrid A* algorithm improve quality local planning. transferred simple embedded environment test computational...
Gully erosion is a major threat to ecosystems, potentially leading desertification, land degradation, and crop loss. Developing viable gully prevention remediation strategies requires regular monitoring of the gullies. Nevertheless, it highly challenging automatically access results gullies from latest data by training historical acquired different sensors at times. To this end, paper presents novel semi-supervised semantic segmentation with boundary-guided pseudo-label generation strategy...
Task and workspace sharing between human robots offers an efficient combination of individual strengths is a promising attempt to meet the continuous increasing demand on flexibility within assembly systems using human-robot co-operation. Here, major pre-condition safety along robot-based process steps limiting system effectiveness. Particularly automated motion implies extensive considerations due required contacts which are difficult handle by common systems. This paper presents methodical...
A novel adaptive morphological attribute profile under object boundary constraint (AMAP-OBC) method is proposed in this study for automatic building extraction from high-resolution remote sensing (HRRS) images. By investigating the associated attributes profiles (MAPs), establishes corresponding relationships between AMAP-OBC and characteristics HRRS In preprocessing step, candidate set extracted by a group of rules screening non-building objects. Second, based on scale parameter strategies,...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL The Devil is the Tails: Regression Discontinuity Design with Measurement Error Assignment Variable 43 Pages Posted: 7 Nov 2016 See all articles by Zhuan PeiZhuan PeiW.E. Upjohn Institute for Employment ResearchYi ShenUniversity of Waterloo Abstract Identification a regression discontinuity (RD) design hinges on probability treatment when covariate...
Change detection (CD) is essential for accurate understanding of land surface changes with multitemporal Earth observation data. Due to the great advantages in spatial information modeling, Morphological Attribute Profiles (MAPs) are becoming increasingly popular improving recognition ability CD applications. However, most MAPs-based methods implemented by setting scale parameters (APs) manually and ignoring uncertainty change from different sources. To address these issues, a novel method...
The rising global trend towards mass customization embodies a major challenge for future production systems in terms of reconciling productivity with flexibility. Moreover, external factors such as varying lifecycles and shifting boundary conditions due to the demographic change intensify severity on determining suitable level automation changeability. Within this context, human-robot-cooperation offers promising solution order cope demands flexible systems. While most assembly design...
Despite the widespread use of graphs in empirical research, little is known about readers' ability to process statistical information they are meant convey ("visual inference"). We study visual inference within context regression discontinuity (RD) designs by measuring how accurately readers identify discontinuities produced from data generating processes calibrated on 11 published papers leading economics journals. First, we assess effects different graphical representation methods using...
Feature generation (i.e. feature selection/extraction) for hyperspectral images in pattern classification is one of the key elements improving accuracy classifier. Nonetheless, most existing techniques encounter difficulties extracting essential features non-stationary and/or non-linear signal, let alone images. Here, an alternative technique motivated by bi-dimensional empirical mode decomposition (BEMD) presented. By virtue BEMD, given signal adaptively decomposed into a series intrinsic...
To compare the excitability of four different alkaloids/salts, including nicotine, nicotinic benzoate, caffeine and arecoline hydrobromide. A new method for detecting alkaloids/salts in SD rats was established base on Positron Emission Tomography (PET) imaging 18F-Fallypride doses types were used single inhalation rats. The results showed that: (1) PET technology can detect intensity after non-invasive real-time optimal scanning time slightly different. (2) excitatory saturation effect...
The accurate determination of the free nicotine content in cigarette smoke is crucial for assessing quality, studying harm and addiction, reducing tar levels. Currently, tobacco products primarily relies on methods such as pH calculation, nuclear magnetic resonance (NMR) spectroscopy, headspace solid-phase microextraction (HS-SPME), traditional solvent extraction. However, these have limitations that restrict their widespread application. In this study, was directly extracted by using...
This study introduces a porous alumina composite structure, incorporating silver on silicon substrate, to achieve wide range of color displays. The structure utilizes the Bragg interference effect reflect light between surface and pore bottoms. Fabrication involved magnetron sputtering, anodizing, sodium hydroxide etching produce different sizes, depths, film thicknesses. method shifts reflection valleys in spectrum, enabling emission or absorption across various wavelengths, resulting...
Vegetation chlorophyll content is very important for monitoring the growth and health status of vegetation. Remote sensing holds an potential evaluating crop diseases insects. The both units can represent leaves, but there are some differences between them. former reflects proportion in leaf components, while latter displays weight unit area. Combining ten representative hyperspectral vegetation indices, effect measurement on estimating was studied with winter wheat summer corn data...
Recent developments facilitated the integration of industrial robots into hybrid work cells in order to share a common workspace with human worker. Besides, worldwide demographic change leads an increasing need for assembly solutions that represent promising solution encountering challenges future and rising demand flexible reactive production systems. Nevertheless, physical safety within human-robot co-operation represents key requirement. This paper introduces model-based safety-system...