Dan Dai

ORCID: 0000-0002-4115-6234
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About
Contact & Profiles
Research Areas
  • Educational Technology and Pedagogy
  • Advanced Database Systems and Queries
  • Mineral Processing and Grinding
  • Diverse Music Education Insights
  • Artificial Intelligence Applications
  • Cyclone Separators and Fluid Dynamics
  • Synthesis and Characterization of Pyrroles
  • Video Surveillance and Tracking Methods
  • Machine Learning and Data Classification
  • Oil and Gas Production Techniques
  • Graph Theory and Algorithms
  • Advanced Measurement and Detection Methods
  • Metabolomics and Mass Spectrometry Studies
  • Cholinesterase and Neurodegenerative Diseases
  • Machine Learning in Materials Science
  • Engineering Applied Research
  • Data Management and Algorithms
  • Vehicle emissions and performance
  • Neurological Disorders and Treatments
  • Aerodynamics and Fluid Dynamics Research
  • AI and Multimedia in Education

PetroChina Southwest Oil and Gas Field Company (China)
2025

Ningbo University
2024

Jiangxi Institute Of Economic Administraors
2021-2022

China University of Mining and Technology
2020

Zhejiang University
2011

Xinjiang University
2010

With the continuous improvement of global economic level and scientific level, information technology has penetrated into all fields people’s life. Today, strategy vigorously promoting educational modernization created conditions for intelligent music teaching promoted in-depth application artificial intelligence in education. Intelligent instructional design supported by is deep integration teaching. Through perception technology, learning analysis emotional computing intelligence, an model...

10.1155/2021/9141339 article EN Scientific Programming 2021-12-21

Multi-stage hydraulic fracturing is a widely used technology in the development of shale oil and gas reservoirs that creates artificial fractures forms fracture networks enhance fluid flow within reservoirs. A well-designed network can significantly production performance wells, thereby improving recovery To achieve this, understanding individual crucial, as it provides valuable insights for refining subsequent designs, ultimately leading to an optimized design. At present, numerical...

10.3390/pr13040984 article EN Processes 2025-03-26

This research focuses on the relationship between artificial intelligence technology and music performance in colleges universities explores application of teaching. At same time, it deficiencies existing computer-assisted language learning software systems through questionnaires interviews also proposes solutions, such as further understanding theories, enhancing learners’ confidence, stimulating their interest learning. The results this will help to improve online intelligent...

10.1155/2022/3199860 article EN Scientific Programming 2022-07-19

Hydrocyclones are extensively known as important separation devices which used in many industrial fields. However, the general method to estimate device performance is time-consuming and has a high cost. The aim of this paper was investigate blockage diagnosis for lab-scale hydrocyclone using vibration-based technique based on wavelet denoising discrete-time Fourier transform method. results indicate that farther away installation location from feed inlet more regular frequency is, reveals...

10.3390/pr8040440 article EN Processes 2020-04-08

Under the global epidemic situation, offline face-to-face teaching has not adapted to current environment. Using computer technology carry out online assisted become an inevitable choice for music in colleges and universities. Offline also many disadvantages, such as single backward methods, poor sharing of audio-visual resources, inconsistent contents. The survey found that teachers urgently need platform enable obtain effective, standardized, comprehensive resources anytime anywhere so...

10.1155/2021/1297019 article EN Scientific Programming 2021-11-29

In many applications, such as online dating or job hunting websites, users often need to search for potential matches based on the requirements preferences imposed by both sides.We refer this type of queries matching queries. spite their wide applicabilities, there has been little attention devoted improve performance. As appear in various forms even within a single application, we, paper, propose general processing framework, which can efficiently process Moreover, we elaborate detailed...

10.1145/2063576.2063806 article EN 2011-10-24

It’s necessary to research on the interaction of blade wheel with incoming flow. The CFD method was used in this paper for numerical simulation aerodynamic performance wind turbines’ at rated speed. first thing establishment turbine dynamic model wheel. Then using Fluent software simulate three-dimensional flow field around it. visual images pressure distribution,flow rate distribution and velocity vector were obtained. Also, load torque calculated. reliability is inspected paper. Some...

10.4028/www.scientific.net/amm.34-35.1761 article EN Applied Mechanics and Materials 2010-10-01

The metabolism of cells is the most basic and important part human function. Neural networks in deep learning stem from neuronal activity. It self-evident that significance metabolize network(MetaNet) model construction. In this study, we explore for shallow network proliferation autophagy two aspects. First, propose different neuron proliferate methods constructive selfgrowing cycle. Proliferate neurons alleviate resources wasting insufficient problem when initializes more or less...

10.48550/arxiv.1809.00837 preprint EN other-oa arXiv (Cornell University) 2018-01-01
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