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902 results on '"Li, Guoxing"'

4. Design of Staff Comprehensive Ability Dynamic Evaluation Software

Author

Guo, Yonglin, Li, Guoxing, Chen, Bei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, and S. Shmaliy, Yuriy, editor

Published
2024
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5. Acoustic Emission-Based Monitoring of Vibration-Induced Cavitation in Thin Liquid Layer

Author

Liu, Peiyu, Shi, Weiwei, Liu, Dong, Iqbal, Muhammad Yousalf, Li, Guoxing, Wang, Tie, IFToMM, Series Editor, Ceccarelli, Marco, Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Agrawal, Sunil K., Advisory Editor, Ball, Andrew D., editor, Ouyang, Huajiang, editor, Sinha, Jyoti K., editor, and Wang, Zuolu, editor

Published
2024
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19. Experimental and Numerical Investigations on the Structural Behaviour of the Joints in Aluminium Alloy Frames Supported Glass Curtain Wall

Author

Li, Mengyu, Ma, Chunyin, Wang, Zhongxing, Li, Guoxing, Fan, Lulu, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Guo, Wei, editor, and Qian, Kai, editor

Published
2023
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23. Parameter Identification and Sensitivity Analysis for Zero-dimensional Physics-based Lithium-Sulfur Battery Models

Author

Xu, Chu, Cleary, Timothy, Li, Guoxing, Wang, Donghai, and Fathy, Hosam K.

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

This paper examines the problem of estimating the parameters of a Lithium-Sulfur (LiS) battery from experimental cycling data. LiS batteries are attractive compared to traditional Lithium-Ion batteries, thanks largely to their potential to provide higher energy densities. The literature presents a number of different LiS battery models, with different fidelities and complexities. This includes both higher-fidelity diffusion-reaction models as well as "zero-dimensional" models that neglect diffusion dynamics while capturing the physics of the underlying reduction-oxidation reactions. The paper focuses on zero-dimensional LiS battery models, and develops four such models from the literature, reflecting different choices of which redox reactions to model. There is a growing need for using experimental cycling datasets to both parameterize these models and compare their fidelities. To address this need, we fabricated LiS coin cells and performed charge/discharge cycling tests on these cells. In parallel, we analyzed the sensitivity of simulated LiS battery charge/discharge characteristics to underlying model parameters. Using this sensitivity analysis, we selected a subset of model parameters for identification, and estimated these parameters for all four LiS battery models from cycling data, thereby arriving at a consistent experimental comparison and assessment of these models' respective fidelities.

Published
2020
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24. Online State Estimation for a Physics-Based Lithium-Sulfur Battery Model

Author

Xu, Chu, Cleary, Timothy, Wang, Daiwei, Li, Guoxing, Rahn, Christopher, Wang, Donghai, Rajamani, Rajesh, and Fathy, Hosam K.

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

This article examines the problem of Lithium-Sulfur (Li-S) battery state estimation. Such estimation is important for the online management of this energy-dense chemistry. The literature uses equivalent circuit models (ECMs) for Li-S state estimation. This article's main goal is to perform estimation using a physics-based model instead. This approach is attractive because it furnishes online estimates of the masses of individual species in a given Li-S cell. The estimation is performed using an experimentally-validated, computationally tractable zero-dimensional model. Reformulation converts this model from differential algebraic equations (DAEs) to ordinary differential equations (ODEs), simplifying the estimation problem. The article's first contribution is to show that this model has poor observability, especially in the low plateau region, where the low sensitivity of cell voltage to precipitated sulfur mass complicates the estimation of this mass. The second contribution is to exploit mass conservation to derive a reduced-order model with attractive observability properties in both high and low plateau regions. The final contribution is to use an unscented Kalman filter (UKF) for estimating internal Li-S battery states, while taking constraints on species masses into account. Consistent with the article's observability analysis, the UKF achieves better low-plateau estimation accuracy when the reduced-order model is used.

Published
2020
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49. Estimation of PM2.5 using high-resolution satellite data and its mortality risk in an area of Iran.

Author

Li, Guoxing, Aboubakri, Omid, Soleimani, Samira, Maleki, Afshin, Rezaee, Reza, Safari, Mahdi, Goudarzi, Gholamreza, and Fatehi, Fariba

Subjects
*AIR pollution, *RISK assessment, *REFERENCE values, *ENVIRONMENTAL health, *RESEARCH funding, *ENVIRONMENTAL monitoring, *PREDICTION models, *POPULATION geography, *DESCRIPTIVE statistics, *ENVIRONMENTAL exposure, *PARTICULATE matter, *CONFIDENCE intervals, MORTALITY risk factors
Abstract

Satellite-based exposure of fine particulate matters has been seldom used as a predictor of mortality. PM2.5 was predicted using Aerosol Optical Depths (AOD) through a two-stage regression model. The predicted PM2.5 was corrected for the bias using two approaches. We estimated the impact by two different scenarios of PM2.5 in the model. We statistically found different distributions of the predicted PM2.5 over the region. Compared to the reference value (5 µg/m3), 90th and 95th percentiles had significant adverse effect on total mortality (RR 90th percentile:1.45; CI 95%: 1.08–1.95 and RR 95th percentile:1.53; CI 95%: 1.11–2.1). Nearly 1050 deaths were attributed to any range of the air pollution (unhealthy range), of which more than half were attributed to high concentration range. Given the adverse effect of extreme values compared to the both scenarios, more efforts are suggested to define local-specific reference values and preventive strategies. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Zooplankton Structure and Ecological Niche Differentiation of Dominant Species in Tahe Bay, Lushun, China.

Author

Zhang, Yanrong, Yin, Zengqiang, Wang, Yan, Li, Guoxing, Zhang, Dawang, Yang, Jun, Chen, Lei, Gu, Haifeng, Qin, Yuxue, and Tian, Tao

Abstract

Zooplankton are important food organisms in the marine ecosystem, and their community structure and distribution reflect the productivity of the waters. To investigate the zooplankton structure and the environmental factors affecting ecological niche differentiation in the waters of Tahe Bay, Lushun, a survey was conducted in September 2021 and March, April, and November 2022 in the waters of Tahe Bay. The results showed that there are 31 species representing four phyla, with an annual mean abundance of 12.42 × 103 ind/m3, dominated by Copepoda (13 species, 41.94%), with zooplankton richness indices ranging from 0.83 to 2.44, diversity indices ranging from 0.84 to 2.42, and evenness indices ranging from 0.14 to 0.84. Pearson's correlation of zooplankton abundance and community diversity with environmental factors, such as water temperature, salinity, dissolved oxygen, NH3-N, and NO3-N, was significant in the waters of Tahe Bay. There were 13 dominant species, mainly consisting of broad-niche species, among which Oithona similis was the dominant species in all four seasons; the degree of niche overlap of the dominant species was related to the seasons, with a serious niche overlap accounting for 81.0% in September 2021, and there was no niche overlap in March 2022; 33.3% of the species had a severe ecological niche overlap in April 2022, with a serious niche overlap accounting for 86.7% in November 2022. The results of redundancy analysis (RDA) indicated that water temperature, salinity, DO, and DIP are the main environmental factors affecting the ecological niche differentiation of the dominant species of zooplankton. [ABSTRACT FROM AUTHOR]

Published
2024
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