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Your search keyword '"Hou, Xiaowei"' showing total 179 results
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179 results on '"Hou, Xiaowei"'

5. A Software Security Entity Relationships Prediction Framework Based on Knowledge Graph Embedding Using Sentence-Bert

Author

Wang, Yan, Hou, Xiaowei, Ma, Xiu, Lv, Qiujian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Lei, editor, Segal, Michael, editor, Chen, Jenhui, editor, and Qiu, Tie, editor

Published
2022
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18. HECTOR for Analysis of GPS Time Series

Author

He, Yuefan, Zhang, Shuangcheng, Wang, Qianyi, Liu, Qi, Qu, Wei, Hou, Xiaowei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sun, Jiadong, editor, Yang, Changfeng, editor, and Guo, Shuren, editor

Published
2018
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31. New Data-Driven Method for In Situ Coalbed Methane Content Evolution: A BP Neural Network Prediction Model Optimized by Grey Relation Theory and Particle Swarm

Author

Zhang, Jinming, Hou, Xiaowei, Liu, Shimin, Chen, Luwang, and Wang, Yingjin

Abstract

In situ coalbed methane (CBM) content accurate evolution is critical to target area optimization and long-term CBM production. In this study, we first proposed a new data-driven method, an improved BP neural network model optimized by grey relational analysis (GRA) and particle swarm optimization (PSO) algorithm for in situ CBM content prediction. The results show that the GRA method is useful to determine the feature input parameters for the BP neural network model which speeds up operation and reduces the influence of redundant parameters simultaneously. Meanwhile, the PSO algorithm with asynchronous learning factors is applied successfully to optimize the weights and thresholds of the BP neural network to increase modeling accuracy. To prove the prediction accuracy, the proposed model was trained and validated using field measured data from 36 CBM wells in Zhengzhuang block in the southern Qinshui Basin. The proposed modeling method yielded reliable results, outperforming traditional prediction models in terms of prediction accuracy (3.71% relative error only). Moreover, the proposed model is thought to be useful for high accuracy prediction of in situ CBM content in heterogeneous reservoirs under complicated geological structure conditions since it has higher robustness and stronger generalization.

Published
2023
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37. A Comparative Study of Chinese, American and European Foreign Language Education Policies

Author

Li Li and Hou Xiaowei

Subjects
Value (ethics), Political science, Foreign language, media_common.cataloged_instance, Education policy, Public administration, European union, China, media_common, Chinese americans
Abstract

This paper constructs the theoretical framework of foreign language education policy analysis from the theory of educational policy, which compares the foreign language education policies of China, the United States and European Union from the dimensions of the process, content and value. Experiences and lessons are proposed from the practice of United States and European Union, which provide suggestions on the study of foreign language education policy in China.

Published
2021

46. Quantifying and Modeling of In Situ Stress Evolutions of Coal Reservoirs for Helium, Methane, Nitrogen and CO2 Depletions.

Author

Hou, Xiaowei, Liu, Shimin, Li, Guofu, Zhu, Yanming, and Liu, Ang

Subjects
*COALBED methane, *COAL, *HELIUM, *MECHANICAL failures, *CARBON sequestration, *COAL gas
Abstract

Coalbed methane (CBM) reservoirs show unique stress responses due to the additional sorption-induced effect under subsurface in situ condition. An insight of dynamic stress evolution is important to CBM development and carbon sequestration in coals. In this study, the combined controls of geomechanical effect and sorption-induced effect were gained to determine in situ stress evolution and predict mechanical failure in coals under uniaxial strain condition for various gases. We conduct a series of experimental measurements on stress path responses with continuous gas depletion for helium, N2, CH4 and CO2. The proposed model is validated by the experimental data, and then, we theoretically analyzed the stress evolution and potential mechanical failure behaviors for CBM operations. The applied horizontal stress was found to continuously decrease for all gas types with pressure depletion under uniaxial strain condition. Sorbing gas showed a higher excessive stress loss with the same decrement of gas pressure than that in non-sorbing gas depletion which is attributed to the sorption-induced effect. For helium depletion, horizontal stress variation is mainly controlled by geomechanical effect. Theoretically, coals with high gas affinity can induce relatively large horizontal stress loss. This excessive stress loss can trigger the localized instability of coal mass due to deviatoric stress trigger shear failure. [ABSTRACT FROM AUTHOR]

Published
2021
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