PARAMETER

作品数：1568被引量：2408H指数：15
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Review on In-Situ Marine Monitoring Using Physical and Chemical Optical Fiber Sensors
《Photonic Sensors》2025年第2期172-197,共26页Funa ZHUANG Yu LI Tuan GUO Qinghua YANG Yunwen LUO Jing WANG Shanshan WANG 
the National Natural Science Foundation of China(Grant Nos.62375248 and 62035006);Shandong Provincial Natural Science Foundation,China(Grant Nos.ZR2021MF123 and ZR2023MD067);Independent Research Project for Graduate Students of Ocean University of China(Grant No.202261011);Program of Marine Economy Development Special Fund under Department of Natural Resources of Guangdong Province,China[Grant No.GDNRC[2023]23].
Optical fiber sensors(OFSs)have attracted more and more attention in the field of in-situ ocean observation because of their advantages of the small size,light weight,low cost,and intrinsic immunity to electromagnetic...
关键词：Ocean monitoring optical fiber sensor physical parameter chemical parameter 
UniTrans:Unified Parameter-Efficient Transfer Learning and Multimodal Alignment for Large Multimodal Foundation Model
《Computers, Materials & Continua》2025年第4期219-238,共20页Jiakang Sun Ke Chen Xinyang He Xu Liu Ke Li Cheng Peng 
With the advancements in parameter-efficient transfer learning techniques,it has become feasible to leverage large pre-trained language models for downstream tasks under low-cost and low-resource conditions.However,ap...
关键词：Parameter-efficient transfer learning multimodal alignment image captioning image-text retrieval visual question answering 
A DFE2-SPCE Method for Multiscale Parametric Analysis of Heterogenous Piezoelectric Materials and Structures
《Computers, Materials & Continua》2025年第4期79-96,共18页Qingxiang Pei Fan Li Ziheng Fei Haojie Lian Xiaohui Yuan 
supported by the Zhumadian 2023 Major Science and Technology Special Project(Grant No.ZMDSZDZX2023002);the Postgraduate Education Reform and Quality Improvement Project of Henan Province(Grant No.YJS2023JD52).
This paper employs the Direct Finite Element Squared(DFE2)method to develop Sparse Polynomial Chaos Expansions(SPCE)models for analyzing the electromechanical properties of multiscale piezoelectric structures.By incor...
关键词：DFE2 SPCE piezoelectric structures parameter analyses 
Model-free prediction of chaotic dynamics with parameter-aware reservoir computing
《Chinese Physics B》2025年第4期143-152,共10页Jianmin Guo Yao Du Haibo Luo Xuan Wang Yizhen Yu Xingang Wang 
Project supported by the National Natural Science Foundation of China(Grant No.12275165);XGW was also supported by the Fundamental Research Funds for the Central Universities(Grant No.GK202202003).
Model-free,data-driven prediction of chaotic motions is a long-standing challenge in nonlinear science.Stimulated by the recent progress in machine learning,considerable attention has been given to the inference of ch...
关键词：chaos prediction time-series analysis bifurcation diagram parameter-aware reservoir computing 
Unveiling the role of high-order anharmonicity in thermal expansion: A first-principles perspective
《Chinese Physics B》2025年第4期212-219,共8页Tianxu Zhang Kun Zhou Yingjian Li Chenhao Yi Muhammad Faizan Yuhao Fu Xinjiang Wang Lijun Zhang 
Project supported by the National Natural Science Foundation of China(Grant No.62125402).
Thermal expansion is crucial for various industrial processes and is increasingly the focus of research endeavors aimed at improving material performance.However,it is the continuous advancements in first-principles c...
关键词：high-order anharmonicity Grüneisen parameter thermal expansion first-principles calculations 
Railway Slope Monitoring Based on Dual-Parameter FBG Sensor
《Photonic Sensors》2025年第1期47-60,共14页Hongbin XU Weiwei WANG Feng LI Yanliang DU Hongliang TU Chuanrui GUO 
supported in part by the National Key Research and Development Program of China(Grant No.2021YFB2600800);National Natural Science Foundation of China(Grant No.52378309);Shenzhen Science and Technology Program(Grant Nos.JCYJ20220818095608018 and KQTD20180412181337494);China Postdoctoral Science Foundation(Grant Nos.2022M722188,2022TQ0218,and 2022M722187);Natural Science Foundation of Hebei Province(Grant No.E2021210032);Visiting Researcher Fund Program of State Key Laboratory of Water Resources Engineering and Management(Grant No.2022SGG05);Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-temporal Big Data Technology(Grant No.TKL2024B10).
A large number of slopes appear along the line during railway construction,which will pose a threat to railway safety operation.Slope monitoring plays an important role in ensuring the safety of railway operation.Aimi...
关键词：Fiber Bragg grating railway slope MONITORING INCLINATION VIBRATION 
Grouped machine learning methods for predicting rock mass parameters in a tunnel boring machine-driven tunnel based on fuzzy C-means clustering
《Deep Underground Science and Engineering》2025年第1期55-71,共17页Ruirui Wang Yaodong Ni Lingli Zhang Boyang Gao 
Natural Science Foundation of Shandong Province,Grant/Award Number:ZR202103010903;Doctoral Fund of Shandong Jianzhu University,Grant/Award Number:X21101Z。
To guarantee safe and efficient tunneling of a tunnel boring machine(TBM),rapid and accurate judgment of the rock mass condition is essential.Based on fuzzy C-means clustering,this paper proposes a grouped machine lea...
关键词：fuzzy C-means clustering machine learning rock mass parameter tunnel boring machine 
High-fidelity Lumped-parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications
《CES Transactions on Electrical Machines and Systems》2025年第1期1-14,共14页Dawei Liang Zi Qiang Zhu Ankan Dey 
This paper presents a high-fidelity lumpedparameter(LP)thermal model(HF-LPTM)for permanent magnet synchronous machines(PMSMs)in electric vehicle(EV)applications,where various cooling techniques are considered,includin...
关键词：Cooling techniques Electric vehicle Lumpedparameter thermal model Permanent magnet synchronous machines Thermal analysis Thermal management 
Model-free Predictive Control of Motor Drives:A Review
《CES Transactions on Electrical Machines and Systems》2025年第1期76-90,共15页Chenhui Zhou Yongchang Zhang Haitao Yang 
supported in part by the National Natural Science Foundation of China under Grant 52077002。
Model predictive control(MPC)has been deemed as an attractive control method in motor drives by virtue of its simple structure,convenient multi-objective optimization,and satisfactory dynamic performance.However,the s...
关键词：Model predictive control Motor drives Parameter robustness Model-free predictive control 
Efficient Parameterization for Knowledge Graph Embedding Using Hierarchical Attention Network
《Computers, Materials & Continua》2025年第3期4287-4300,共14页Zhen-Yu Chen Feng-Chi Liu Xin Wang Cheng-Hsiung Lee Ching-Sheng Lin 
supported by the National Science and Technology Council(NSTC),Taiwan,under Grants Numbers 112-2622-E-029-009 and 112-2221-E-029-019.
In the domain of knowledge graph embedding,conventional approaches typically transform entities and relations into continuous vector spaces.However,parameter efficiency becomes increasingly crucial when dealing with l...
关键词：Knowledge graph embedding parameter efficiency representation learning reserved entity and relation sets hierarchical attention network 
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