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- research-articleAugust 2024
Simulation of Three-Point Bending of Carbon/Epoxy Composite Laminates
SIUSAI '24: Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial IntelligencePages 367–371https://doi.org/10.1145/3669721.3675006This paper studies the bending properties of carbon/epoxy composite laminates. The three-point bending simulation under different layups is performed on the carbon/epoxy composite laminate. Through the stress distributing graph of each layer and the load-...
- research-articleAugust 2024
Numerical Simulation of Engine Compressor Blade Against Bird
SIUSAI '24: Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial IntelligencePages 182–186https://doi.org/10.1145/3669721.3675005Bird impact on engine compressor blade is simulated by ANSYS/LS-DYNA, and the research mainly studies the impact of bird body on compressor blade at different angles. The dynamic response, maximum equivalent stress and plastic strain of the compressor ...
- research-articleAugust 2024
A Federated Learning Framework via Decentralized Data Valuation for Chronic Disease Healthcare
IMIP '24: Proceedings of the 2024 6th International Conference on Intelligent Medicine and Image ProcessingPages 60–65https://doi.org/10.1145/3669828.3669837Medical data on chronic diseases are rife with the private information of patients. These data are often stored in many isolated institutions and cannot be shared due to privacy and security concerns. Federated learning provides a privacy protection ...
- research-articleFebruary 2024
A Survey of Multi-Transmission Path Optimization
CNML '23: Proceedings of the 2023 International Conference on Communication Network and Machine LearningPages 67–72https://doi.org/10.1145/3640912.3640925The newly developed networks hope to bring some specific features, such as wide coverage, high bandwidth, and provide varieties of media services. Multipath Transport Protocol builds on the TCP protocol and utilizes the transmission capacity of multiple ...
- research-articleMarch 2023
VMD-CNN: Dual Feature Extraction for Detection of Turn-to-Turn Short Circuit Faults in Permanent Magnet Synchronous Motors
CSAI '22: Proceedings of the 2022 6th International Conference on Computer Science and Artificial IntelligencePages 224–230https://doi.org/10.1145/3577530.3577566A fault detection method based on VMD-CNN dual feature extraction is proposed to address the problems of inaccurate feature extraction information and inappropriate signal analysis methods in permanent magnet synchronous motor turn-to-turn short ...
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- research-articleDecember 2022
Memory‐augmented neural networks based dynamic complex image segmentation in digital twins for self‐driving vehicle
Highlights- An image segmentation model is built on Memory-augmented Neural Networks (MANNs), in an effort to identify the ever-boosting image information with more ...
With the continuous increase of the amount of information, people urgently need to identify the information in the image in more detail in order to obtain richer information from the image. This work explores the dynamic complex image ...
- research-articleDecember 2022
Chinese Named Entity Recognition Method Based on RoFormer-GlobalPointer and Improved R-drop
ICBDT '22: Proceedings of the 5th International Conference on Big Data TechnologiesPages 203–207https://doi.org/10.1145/3565291.3565324Aiming at solving the problems of blurred entity boundary and poor generalization ability of traditional named entity recognition, a named entity recognition method based on RoFormer-GlobalPointer and R-drop is proposed. The word vector with long-term ...
- research-articleSeptember 2022
Multi-modal emotion identification fusing facial expression and EEG
Multimedia Tools and Applications (MTAA), Volume 82, Issue 7Pages 10901–10919https://doi.org/10.1007/s11042-022-13711-4AbstractAiming at solving the matter of low accuracy of emotion identification way in traditional facial expression images, this paper presents a new way of multi-modal emotion identification. Based on the modal information of facial expression, the ...
- research-articleJune 2021
Craniofacial reconstruction based on heat flow geodesic grid regression (HF-GGR) model
Computers and Graphics (CGRS), Volume 97, Issue CPages 258–267https://doi.org/10.1016/j.cag.2021.04.029Highlights- Propose an encode the craniofacial geometry method by geodesic grid made by the angle division map.
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AbstractCraniofacial reconstruction is to predict the 3D facial geometry according to the internal relationship between the skull and face, which is widely applied in the field of criminal investigation, archaeology, forensic medicine and so ...
- research-articleFebruary 2021
Considering Trust Parameters the Evolution Model of Network Negative Emotion under Public Emergencies
EITCE '20: Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer EngineeringPages 280–284https://doi.org/10.1145/3443467.3443768This paper discusses the evolution mechanism of network negative emotions under the influence of trust of different groups. This study is for the government public opinion management department to scientifically grasp the network bad mood. It is ...
- research-articleMarch 2020
Extending social responsibility to small and medium-sized suppliers in supply chains: A fuzzy-set qualitative comparative analysis
AbstractBuying firms’ sales and reputation will be greatly damaged by any non-responsible behaviors on the part of suppliers, especially when those suppliers, like small and medium-sized enterprises (SMEs), have restricted resources and ...
Highlights- This study provides a four-dimensional framework for buyers’ socially responsible supplier development SRSD within SMEs: supplier monitoring, supplier ...
- research-articleOctober 2019
A new dual weights optimization incremental learning algorithm for time series forecasting
Applied Intelligence (KLU-APIN), Volume 49, Issue 10Pages 3668–3693https://doi.org/10.1007/s10489-019-01471-yAbstractIn this paper, a novel dual weights optimization Incremental Learning (w2IL) algorithm is developed to solve Time Series Forecasting (TSF) problem. The w2IL algorithm utilizes IELM as the base learner, while its incremental learning scheme is ...
- research-articleOctober 2019
A novel double incremental learning algorithm for time series prediction
Neural Computing and Applications (NCAA), Volume 31, Issue 10Pages 6055–6077https://doi.org/10.1007/s00521-018-3434-0AbstractBased on support vector machine (SVM), incremental SVM was proposed, which has a strong ability to deal with various classification and regression problems. Incremental SVM and incremental learning paradigm are good at handling streaming data, and ...
- ArticleJuly 2018
HEDI: An Online Platform for Healthcare Engineering Design and Innovation
Cross-Cultural Design. Applications in Cultural Heritage, Creativity and Social DevelopmentPages 308–319https://doi.org/10.1007/978-3-319-92252-2_25AbstractHealthcare is a specialized sector in which products and service provision are embedded with professional requirements that are unfamiliar to most of the designers, and different stakeholders have quite different knowledge backgrounds, viewpoint ...
- articleJanuary 2016
Unexpected diversity of magnetococci in intertidal sediments of Xiaoshi Island in the North Yellow Sea
Journal of Nanomaterials (NANO), Volume 16, Issue 1Article No.: 341, Page 341https://doi.org/10.1155/2015/902121Magnetotactic bacteria (MTB) are a group of prokaryotes that, despite their high morphological, phylogenetic, and ecological diversity, share a common capability of forming intracellular nanocrystals of magnetite (Fe3O4) or greigite (Fe3S4), called ...
- ArticleMay 2012
Research on Vehicle Transportation Problem in War
ICEE '12: Proceedings of the 2012 3rd International Conference on E-Business and E-Government - Volume 04Pages 786–789In this paper, the study on vehicled on the vehicles Coordination is presented. Coordinated problem is reviewed. An approach for Stochastic Vehicle Routing Problem basedinated strategy for many vehicles is designed. The calculating formulas for the ...
- ArticleDecember 2011
A Hybrid Method for Solving Global Optimization Problems
CIS '11: Proceedings of the 2011 Seventh International Conference on Computational Intelligence and SecurityPages 20–23https://doi.org/10.1109/CIS.2011.13In this paper, a hybrid descent method, consisting of a genetic algorithm and the filled function method, is proposed. The genetic algorithm is used to locate descent points for previously converged local minima. The combined method has the decent ...
- ArticleNovember 2010
Reconstruction of Broken Blade Geometry Model Based on Reverse Engineering
ICINIS '10: Proceedings of the 2010 Third International Conference on Intelligent Networks and Intelligent SystemsPages 680–682https://doi.org/10.1109/ICINIS.2010.16To improve the efficiency of blade repair, a reverse engineering-based geometry reconstruction method is developed for the normal model creation of a broken blade. The key techniques involved are including the digital measurement of broken blade, point ...
- ArticleAugust 2009
Simulation of Transient Non-stationary Winds
NCM '09: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDCPages 1509–1512https://doi.org/10.1109/NCM.2009.63Following the theory of evolutionary power spectral density (EPSD) for non-stationary stochastic processes, it is anticipated that the non-stationary fluctuating wind velocity can be generated by resorting to a deterministic modulating function used to ...
- ArticleAugust 2009
Spline Interpolation Based FFT Simulation Algorithm
NCM '09: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDCPages 1737–1742https://doi.org/10.1109/NCM.2009.13Spline interpolation based Fast Fourier Transform (FFT), referred to as the SFFT, is proposed in the present paper to further enhance the computational speed of simulating the multivariate stochastic processes. The SFFT algorithm is to mainly introduce ...