- Ultrasonics and Acoustic Wave Propagation
- Flow Measurement and Analysis
- Underwater Acoustics Research
- Non-Destructive Testing Techniques
- Traffic Prediction and Management Techniques
- Metabolomics and Mass Spectrometry Studies
- Traffic control and management
- Structural Health Monitoring Techniques
- Building Energy and Comfort Optimization
- Refrigeration and Air Conditioning Technologies
- Autonomous Vehicle Technology and Safety
- Indoor and Outdoor Localization Technologies
- Bacterial Identification and Susceptibility Testing
- Energy Efficiency and Management
- Image and Signal Denoising Methods
- Urban Design and Spatial Analysis
- Human Mobility and Location-Based Analysis
- Thermography and Photoacoustic Techniques
- Geophysical Methods and Applications
- Energy Load and Power Forecasting
- Mass Spectrometry Techniques and Applications
- RFID technology advancements
- Machine Learning in Bioinformatics
- Clusterin in disease pathology
- Hand Gesture Recognition Systems
Children's Hospital of Capital Institute of Pediatrics
2025
Southwest University
2017-2024
Beihang University
2012-2018
Nanyang Technological University
2016
University College Cork
2015
Neonatal sepsis (NS) is highly likely to cause death; however, early diagnosis of NS still a great challenge. This study aimed determine the diagnostic values IL-6, IL-8, and serum amyloid A (SAA) in patients. C-Reactive protein (CRP), procalcitonin (PCT), interleukin (IL)-6, SAA were detected 120 infants with (60 premature [NS-PIs] 60 term [NS-TIs]). Sixty noninfected composed control group. Receiver operating characteristic (ROC) curves used sensitivity specificity alone combination CRP...
To improve the energy efficiency and output power of piston compressed air engine (CAE), a mathematical model its working process was set up.With use MATLAB/Simulink software for simulation, influences bore-to-stroke ratio, intake pressure valve lift on performance were obtained analysis power.Moreover, to optimize with given power, an improved NSGA-II introduced, series optimization pressures lifts obtained.When value is about 2 kW, can be 1.99 MPa 9.99 mm, highest: 31.17%.Finally, that...
The conventional ultrasonic method for compressed air leak detection utilizes a directivity-based detector (DULD) to locate the leak. location accuracy of this is low due limit nominal frequency and size sensor. In order overcome deficiency, based on time delay estimation (TDE) proposed. three sensors arranged in an equilateral triangle simultaneously receive ultrasound generated by can be located according delays between every two sensor signals. theoretical analyzed, it found that error...
Methicillin-resistant staphylococcus aureus (MRSA) cause nosocomial and communal infections seriously. Rapid accurate identification of MRSA is vital for prevention human morbidity. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) has been widely used typing micro-organisms. To identify based on the spectra clinical S.aureus, we propose a genetic algorithm with t-test population seeding wrapper feature selection, in which statistics are as prior...
This paper proposes a non-intrusive and non-invasive method for measuring the gas flow rate in pneumatic industry. A heater unit is fixed on partial circumference of external wall pipeline emits specific thermal pulses predetermined mode. Two sensors attached to detect upstream temperature, can be measured according relationship between dynamic characteristics pipeline. To determine preferable relationship, temperature field model measurement system built. Then, based modes corresponding...
An improved denoising algorithm based on wavelet transform modulus maxima (WTMM) is proposed for processing non-intrusive measurement signals in pneumatic systems. Combined with the adaptive BayesShrink threshold and Witkin's scale space tracking theory, process of tracing evolution WTMM over scales has been optimized. Thus, signal noise can be identified isolated effectively. Additionally, to improve computational efficiency, a fast method piecewise cubic Hermite interpolating polynomial...
Abstract This paper proposes a soft sensing method of least squares support vector machine (LS-SVM) using temperature time series for gas flow measurements. A heater unit has been installed on the external wall pipeline to generate heat pulses. Dynamic signals have collected upstream unit. The are main secondary variables technique estimating rate. LS-SVM model is proposed construct non-linear relation between rate and series. To select its inputs, parameters measurement system divided into...
A Semi‐Analytical Finite Element (SAFE) method is developed to model accurately the propagation velocity and leakage of guided waves along an immersed waveguide with arbitrary non‐circular cross‐section. Thus accurate inverse provided measure density fluid by measuring change torsional wave speed. Experimental results obtained a rectangular bar in range fluids show good agreement theoretical predictions.
Energy-saving of compressed air system was very important for the sustainable development enterprises, which could be achieved though fast and accurate load forecasting. In this paper, according to distribution rules characteristics 24 hours supply, 24h flow demand model firstly built with least square support vector machine (LSSVM). order avoid long time consumption determining parameters in traditional cross validation method, Bayesian evidence framework selected train parameters, then...
Abstract Ultrasound is used as an alternative to conventional communication in scenarios with severe electromagnetic shielding and interference. Ultrasonic guided waves, like Lamb exhibit favorable transmission characteristics platy structures, enabling long-distance propagation low energy loss. This paper proposes a non-contact data method using air-coupled leaky waves. Wave conversion multipath interference have nonlinear effects on wave communication. To decode received temporal signals,...
Emergency evacuation is an important issue in public security. To make a considerate plan, various situations are presented including blocking the accident area and letting emergency access path available. In order to offer dynamic routes due different circumstances, multistory building model proposed. Firstly, analyse patency of building, formula applied after binary processing. The function time some other parameters given by means regression analysis. Secondly, cellular automata (CA)...
Traffic congestion has become serious across the world since recent two centuries. Among existing control methods, Deep Q-learning Network (DQN) based reinforcement learning achieved superior performance over state-of-art methods. Reward function is a crucial part of learning. Different terms in reward guide agent attaining different goals. In traffic light problem, could be either too simple to perform well or complicated find best parameters. It influents algorithm and bring challenge...
Lamb wave showed the possibilities in ultrasonic inspection technique by analyzing its propagation characteristics, which resulted from rapid increase availability of computing simulation recent years. These characteristics may be modified to consider influences fluid when plates loaded with liquid droplets. Hence, a coupled plate-droplet system diffuse-interface was established this paper, includes three sub-domains: air, sensor, and plate system. The situation for droplets on different...
One of the challenges in wide-band multimode guided wave testing is decomposition multimodal response signal into individual components. In this study post-processing procedure based on plate mode orthogonality proposed to extract waveforms at a edge from signals [1]. To obtain amplitudes modes, numerically predicted modal through-thickness stress and displacement field values are used relation. Two-dimensional propagation cases normal incidence considered: overlapping fundamental Lamb modes...
Mass spectrometry (MS) method has been one of the most popular subjects in field microbial identification by reason its rapid and variety application. However, biomarker Methicillin-resistant methicillin-susceptible Staphylococcus aureus is out measuring range mass spectrometer, which leads to hard classify for molecules those instruments. In this paper, based on MS small measurable range, we propose a reducing dimensions algorithm deal with heterogeneity variables. With preprocessed data,...
Reinforcement learning based control is an effective approach to traffic light control. In terms of the Deep Q-learning Network (DQN) method, reward function should be carefully designed, as it affects performance method and also brings challenge in standardized design. Thus, would fail perform well if was established improperly. If too complicated, time-consuming for algorithm. To solve this problem, we proposed intersection-model DQN We investigated different types urban road intersection...