- Advanced Algorithms and Applications
- Speech and Audio Processing
- Advanced Data Compression Techniques
- Biofuel production and bioconversion
- Advanced Computational Techniques and Applications
- Advanced Sensor and Control Systems
- Computational Fluid Dynamics and Aerodynamics
- Face and Expression Recognition
- Catalysis for Biomass Conversion
- Fluid Dynamics Simulations and Interactions
- Fluid Dynamics and Turbulent Flows
- Gear and Bearing Dynamics Analysis
- Digital Filter Design and Implementation
- Image Processing and 3D Reconstruction
- Wireless Communication Security Techniques
- Wireless Sensor Networks and IoT
- Vehicle Dynamics and Control Systems
- Gas Dynamics and Kinetic Theory
- Enzyme Catalysis and Immobilization
- Machine Fault Diagnosis Techniques
- Robotic Path Planning Algorithms
- Control and Dynamics of Mobile Robots
- Security in Wireless Sensor Networks
- Soil Mechanics and Vehicle Dynamics
- Inorganic Fluorides and Related Compounds
Fujian Institute of Research on the Structure of Matter
2024
Chinese Academy of Sciences
2024
Taiyuan University of Technology
2002-2024
Nanjing Tech University
2016-2024
Beijing Institute of Technology
2020-2024
Beijing Normal University
2024
China University of Petroleum, East China
2023
Nanjing Normal University
2023
University of Alberta
2023
Nanjing University of Information Science and Technology
2021
HMF has been efficiently upgraded into HMFCA with a good yield by using highly HMF-tolerant strain<italic>Comamonas testosteroni</italic>SC1588.
A trajectory planning method for local obstacle avoidance based on an improved artificial potential field (APF) is proposed, which aimed at the problem dual motor driven unmanned tracked vehicles avoiding dynamic and static obstacles in unstructured environments. Firstly, traditional fields, by adding virtual target points, can avoid large reach point off-road Secondly, a water droplet type repulsive function including relative velocity acceleration are established proposed APF to improve...
2,5-Furandicarboxylic acid (FDCA) is a promising biobased building block for the synthesis of polymers. In this work, novel whole-cell biocatalyst was constructed by coexpressing vanillin dehydrogenase (VDH1) and HMF/furfural oxidoreductase (HmfH) in Escherichia coli cascade catalytic oxidation 5-hydroxymethylfurfural (HMF) to FDCA under sacrificial substrate-free conditions. HMF rapidly transformed 5-hydroxymethyl-2-furancarboxylic (HMFCA) VDH1, followed subsequent...
Electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) can objectively reflect a person’s emotional state have been widely studied in emotion recognition. However, the effective feature fusion discriminative learning from EEG–fNIRS data is challenging. In order to improve accuracy of recognition, graph convolution capsule attention network model (GCN-CA-CapsNet) proposed. Firstly, signals are collected 50 subjects induced by video clips. And then, features EEG fNIRS...
Recent developments of wireless communication lead to the problem growing spectrum shortage. Cognitive radio, as a novel technology, tends solve this by dynamically utilizing spectrum. Security in cognitive radio network becomes challenging issue, since more chances are given attackers technology compared general network. These weaknesses introduced nature and they may cause serious impact quality service. However, at present there no specific secure protocols for networks. Motivated this,...
In order to solve the problem that conducted voltage of a motor drive system for electric vehicle (EV) exceeds standard limits CISPR25-2016, two different design methods electromagnetic interference (EMI) filter HV power supply were proposed. The first method is wide-band EMI based on engineering method. It can achieve insertion loss 60 dB within 150 kHz--108 MHz. Another proposed resonance peaks suppression. During second process, by analyzing common mode (CM) and differential (DM) paths at...
A fault diagnosis method for rolling bearing based on ensemble empirical mode decomposition (EEMD) sample entropy and probabilistic neural network (PNN) is proposed non-steady non-linear signals. First, the signals are decomposed into intrinsic function (IMF) using EEMD. Then, kurtosis of each component calculated. Five components with large selected extracted to form feature vectors. Finally, vectors input PNN diagnosis. The used classify type fault. results show that accuracy 100%, which...
Models based on capsule neural network (CapsNet), a novel deep learning method, have recently made great achievements in hyperspectral remote sensing image (HSI) classification due to their excellent ability implicitly model the spatial relationship knowledge embedded HSIs. However, number of labeled samples is common bottleneck HSI classification, limiting performance these models. To alleviate problem limited and further explore potential CapsNet field, this study proposes multiscale...
A steering stability control method for four-motor distributed drive high-speed tracked vehicle is proposed to improve handling and safety. The dynamic analysis calculation of center steering, small radius large the are carried out respectively. In order meet power requirements outer motor in a coupling system constructed, which uses couple with traction at rear left or right side tracks strategy takes yaw angular velocity longitudinal speed as objectives, direct torque optimize distribute...
Parameters selection of support vector machine is a very important problem, which has great influence on its performance. In order to improve the learning and generalization ability machine, in this paper, proposed new algorithm -parallel artificial fish swarm optimize kernel parameter penalty factor improved loop body avoid missing optimum solution, proved validity by testing with some test functions; used optimal parameters non-specific persons, isolated words, medium-vocabulary speech...
Abstract As the environment deteriorates, recycling of solid waste has become increasingly important. This study aimed to optimize use Fe 2 O 3 , SiO and CaO components in coal fly ash convert into stable porous Al TiO 5 ‐mullite ( AT –M) composite ceramic by sintering with OOH additives at high temperatures. The phase composition, microstructure, apparent porosity, corrosion resistance, mechanical properties –M ceramics were systematically investigated. Results indicated that sintered...
Non-invasive brain neuromodulation is indispensable to the study of function. It has also been proven effective for treating some neurological disorders. As a novel method neuromodulation, transcranial ultrasonic–magnetic stimulation (TUMS) does not need surgery and genetic alteration, it owns higher spatial resolution deeper penetration than other non-invasive methods such as direct current magnetic stimulation. explored before although intramembrane mechanoelectrical effect plays an...
With the development of wind power, fault turbine is increasing year by year. The gearbox multiple component turbine. monitoring system gets massive data, and health fan has also entered era "big data". new problem in field mechanical equipment to excavate information from these large data identify status efficiently accurately. Deep learning an effective tool for processing. Based on strong perception self-learning ability deep theory, a diagnosis method based belief network vibration...
Two new vanadium oxyfluoride–iodate birefringent materials, Sr[VO 2 F(IO 3 ) ] and Sr F (VO 4 )(IO ), have been successfully synthesized. These two compounds exhibit high birefringences with values of 0.250 0.406 at 550 nm, respectively.
Abstract As an important branch of mathematics, geometry plays a very significant role in developing students’ thinking, but many students need to improve their geometric thinking abilities, especially understanding graphics and forms. Therefore, it is worthwhile explore techniques methods for Augmented Reality (AR) technology can visualize objects enhance mathematic learning. This study designed interactive mathematical picture book by utilizing AR technology, used quasi-experimental...