- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Infection Control and Ventilation
- Indoor Air Quality and Microbial Exposure
- Blind Source Separation Techniques
- Elasticity and Material Modeling
- Ultrasound Imaging and Elastography
- Gaze Tracking and Assistive Technology
- Vehicle emissions and performance
- EEG and Brain-Computer Interfaces
- Evacuation and Crowd Dynamics
- Nuclear Engineering Thermal-Hydraulics
- Noise Effects and Management
- Odor and Emission Control Technologies
- Food Waste Reduction and Sustainability
- Refrigeration and Air Conditioning Technologies
- Ultrasound and Hyperthermia Applications
- Heat Transfer and Boiling Studies
- Marine Bivalve and Aquaculture Studies
- Essential Oils and Antimicrobial Activity
- Wind and Air Flow Studies
- Underground infrastructure and sustainability
- Aquaculture Nutrition and Growth
- Combustion and flame dynamics
- Urban Heat Island Mitigation
Ministry of Industry and Information Technology
2022-2024
Harbin Institute of Technology
2022-2024
Shanghai Jiao Tong University
2022
North China Electric Power University
2017-2020
Changchun University of Science and Technology
2016
P300-speller is a communication system based on brain-computer interface (BCI) which allows users to input characters by focused attention. Support vector machine (SVM) ensemble has been successfully applied classify in the P300-speller. However, large scale of training data was needed for sub-classifiers ensure performance classification. Subjects gradually got fatigue during period collection, resulted an obvious difference EEG from early later and affected In present study, we adopted...
P300-speller which relies on P300-event related potential (ERP) is an important application of the BCI system. However, accuracy and information transmission rate were relatively low for practical use. To solve problem, researchers focused two aspects paradigms classifiers. with familiar face paradigm achieved a better performance. In addition, Bayesian linear discriminate analysis (BLDA) was successfully applied to classifier in paradigm. BLDA needed large scale training set ensure...
In this paper, a typical residential building model was established and the characteristics of air distribution for three schematic layouts were simulated by changing location quantity diffusers. Then, dimensional micro-flow field distribution, vector, cloud, streamline chart cross section discussed in-depth. The results showed that there no obvious draft sensation in human respiratory zone under these modes. presented best uniformity accessibility layout 1, namely including five supply...
Characterization of biomechanical properties soft biological tissues is important to understand the tissue mechanics and explore biomechanics-related mechanisms disease, injury, development. The mechanical testing method most straightforward way for characterization considered as verification in vivo measurement. Among many ex techniques, indentation test provides a reliable way, especially samples that are small, hard fix, viscoelastic such brain tissue. Magnetic resonance elastography...
Indoor fungal is of great significance for human health. The kernel-based extreme learning machine employed to determine the most important parameters predicting concentration indoor culturable fungi (ICF). For model training and statistical analysis, that contained or outdoor PM10 PM2.5, RH, Temperature, CO2 ICF were measured in 85 residential buildings Baoding, China, from November 2016 March 2017. variable selection process contains four different cases identify optimal input combination....
Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquired from MRE coupled with noise pose challenges accurate displacement extraction modulus estimation. Here we propose a pipeline processing images using optimization-based Traveling Wave Expansion-based Neural Network (TWENN) Phase unwrapping were achieved by optimization an objective function Dual Data Consistency...