A5067065399- Quantum Information and Cryptography
- Quantum Mechanics and Applications
- Hydrocarbon exploration and reservoir analysis
- Advanced Computational Techniques and Applications
- Mechanical and Optical Resonators
- EEG and Brain-Computer Interfaces
- Quantum optics and atomic interactions
- Geoscience and Mining Technology
- Climate variability and models
- Optical measurement and interference techniques
- Meteorological Phenomena and Simulations
- Advanced Sensor and Control Systems
- Neuroscience and Neural Engineering
- Quantum Computing Algorithms and Architecture
- Service-Oriented Architecture and Web Services
- Quantum and electron transport phenomena
- Reservoir Engineering and Simulation Methods
- Advanced Measurement and Detection Methods
- Advanced Algorithms and Applications
- Advanced machining processes and optimization
- Advanced Surface Polishing Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Rough Sets and Fuzzy Logic
- Seismic Imaging and Inversion Techniques
- Quantum Mechanics and Non-Hermitian Physics
Northwestern Polytechnical University
2022-2025
Huizhou University
2024
Sun Yat-sen University
2014-2024
China University of Petroleum, Beijing
2015-2024
Yangtze River Delta Physics Research Center (China)
2022-2024
China Meteorological Administration
2011-2024
Guangxi University of Science and Technology
2024
University of Science and Technology of China
2024
Chinese Academy of Meteorological Sciences
2022
Chinese Academy of Medical Sciences & Peking Union Medical College
2022
Renewable energy generations have been attracting sustained attentions in academic and industry. Current-fed-isolated-bidirectional dc/dc converters (CF-IBDCs) are widely adopted low-voltage high-current applications such as solar photovoltaic fuel cell with storage. This paper gives an overview a comprehensive comparative evaluation of CF-IBDCs. The active clamped, dual half-bridge, L-L type bridge, resonant-type, naturally other topologies CF-IBDCs investigated, analyzed, compared...
Brain-teleoperation robot control ensures that human beings interact with telepresence mobile systems through the brain neural signals. In this study, a hierarchical robust predictive framework consisting of two-loop scheme is developed to simultaneously enhance safety, navigation, and robustness performance electroencephalography (EEG)-based robotic minimize loss by end-user. The outer loop model-based controller guarantee optimal velocity evolution under various constraints. inner integral...
Abstract Background Metabolic syndrome (MetS) is characterized by a cluster of signs metabolic disturbance and has caused huge burden on the health system. The study aims to explore prevalence characteristics MetS defined different criteria in Chinese population. Methods Using data China Hypertension Survey (CHS), nationally representative cross-sectional from October 2012 December 2015, total 28,717 participants aged 35 years above were included analysis. definitions International Diabetes...
Identifying drug–target interactions (DTIs) is essential for drug discovery and development. Existing deep learning approaches to DTI prediction often employ powerful feature encoders represent drugs targets holistically, which usually cause significant redundancy noise by neglecting the restricted binding regions. Furthermore, many previous networks ignore or simplify complex intermolecular interaction process involving diverse types, significantly limits both predictive ability...
The continuing study of early angiosperms from the Yixian Formation (≈125 Ma) northeastern China has yielded a second angiosperm genus. This report is detailed account this flowering plant and recognizes earlier reports similar fossils Russia China. Entire plants, including roots, stems, branches terminating in fruits are presented reconstructed. Evidence for possible aquatic nature presented. relationship Hyrcantha (“ Sinocarpus ”) to eudicots discussed. presence genus, now known as whole...
Borehole lithology discrimination is the foundation for formation evaluation and reservoir characterization. Due to limitation of costing or accuracy, direct methods, such as borehole core drilling cutting analysis, are unable widely apply, while logging interpretation provides an alternative solution this task. To mitigate influence subjective bias, several machine learning algorithms, neural network, support vector machine, decision tree, random forest (RF), have already been applied...
Using brain signals rather than limbs to drive a vehicle can help persons with disabilities extend their movement range and, thus, improve self-independence. However, the driving performance of brain-controlled vehicles (BCVs) is poor. In this paper, BCVs, we propose new shared control method based on model predictive (MPC) strategy. Particularly, maintain maximum authority brain-control drivers while ensuring safety MPC controller designed by introducing penalty deviation from output in...
In this article, we develop a robust sliding-mode nonlinear predictive controller for brain-controlled robots with enhanced performance, safety, and robustness. First, the kinematics dynamics of mobile robot are built. After that, proposed is developed by cascading smooth controller. The integrates human intention tracking safety guarantee objectives into an optimization problem to minimize invasion while maintaining safety. designed achieve desired velocity tracking. results...
Recent molecular phylogenetic and clock data both suggest a pre-Mesozoic age for the divergence of angiosperm lineage from other seed plants, greatly predating confirmed fossil record crown group. In addition, studies have not supported morphologically based conclusion that gnetophytes are extant sister group to angiosperms. We examine these relationships ages by using novel approach examining presence oleanane. This includes development methods zeolites preferentially reduce hopanes can...
This paper presents a comprehensive time domain model that simulates end milling processes under general cutting conditions. Over an extensive range of axial depths cut, the can accurately predict regenerative forces and dynamic responses by considering varying dynamics along depth, three-dimensional forces, tool geometries. The prediction stability limit is validated conditions both large very small radial immersions. In addition, surface profiles stable chatter are predicted compared with...
Software outsourcing partnership (SOP) is a type of cooperative client-vendor relationship for achieving mutually beneficial goals and totally based on mutual trust commitment. SOP an emerging strategy different to ordinary software development (SDO). Usually, successful long-lasting association between client vendor organization might be converted partnership. The overarching target this exploratory paper analyze list factors that are considered important vendors in the renovation their...
Data glove-based dynamic gestures contain rich human motion intentions, which is reliant on the hand body information that comes from multi-individual sensors attached. However, present gesture recognition with such wearable sensor devices tends to depend heavily handcrafted features and ignore critical channel inter-feature information. To address this problem, a novel convolutional-transformer based architecture termed as spatial-temporal feature-attention transformer network (STFTnet)...
The driver's state and behavior are crucial for the driving process, which affect safety directly or indirectly. Electroencephalography (EEG) signals have advantage of predictability been widely used to detect predict users' states behaviors. Accordingly, EEG-based driver detection, can be integrated into intelligent vehicles, is becoming hot research topic develop an assisted system (IADS). In this paper, we systematically reviewed detection vehicles. First, concluded most popular methods...
Abstract Software Outsourcing Partnership (SOP) is considered as a type of risk and reward sharing relationship between client organisation, in the developed countries, its overseas vendor organisation. Regardless numerous benefits, development SOP still remnants infancy stage due to several interactive barriers. Some studies have been conducted examine barriers formation. However, no attempt has reported so far explore multifaceted interrelationships amongst them. To bridge gap, this study...
While steady-state visual evoked potentials (SSVEPs) are widely used in brain–computer interfaces (BCIs) due to their robustness rhythmic stimuli, generation mechanisms remain poorly understood. Challenges such as experimental complexity, inter-subject variability, and limited physiological interpretability hinder the development of efficient BCI systems. This study employed a single-channel neural mass model (NMM) V1 cortical dynamics investigate biophysical underpinnings SSVEP generation....
Steady-state visual evoked potential (SSVEP)-based brain—computer interfaces (BCIs) leverage high-speed neural synchronization to flicker stimuli for efficient device control. While SSVEP-BCIs minimize user training requirements, their dependence on physical EEG recordings introduces challenges, such as inter-subject variability, signal instability, and experimental complexity. To overcome these limitations, this study proposes a novel mass model SSVEP simulation by integrating frequency...
This paper presents a new solution procedure for an integrated thermo-dynamic spindle model and validation results. Based on the presented in Part 1 of this paper, computer program has been developed to generate comprehensive solutions high speed spindle-bearing systems, such as bearing stiffness, contact load temperature, dynamic characteristics response, temperature distributions, thermal expansions. The are modular that different set-ups can be easily generated by combining given with...
In essence, Service Oriented Architecture (SOA) is distributed and shall not have any centralized control point. Any application can access an SOA network for interaction as long it complies with the corresponding standards. A architecture also be regarded a part of SOA. This paper gives general overview fundamental principles, features, core technologies SOA, analyzes integration object Web technology, describes difference between With previous basis, this discusses function implementation...