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Language Analysis of Liaoning Urban Image in Chinese,American,and Canadian News Framework
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作者 YI Xue 《Cultural and Religious Studies》 2019年第9期483-489,共7页
The research chose the reports about the cities in Liaoning Province,Dalian,Shenyang,and Anshan as the objects of study.These reports came from the three newspapers China Daily,New York Times,and Globe and Mail.This r... The research chose the reports about the cities in Liaoning Province,Dalian,Shenyang,and Anshan as the objects of study.These reports came from the three newspapers China Daily,New York Times,and Globe and Mail.This research was based on Frame Work Theory,and used language analysis and case study as the research methods to identify the discourse and organization.The first result is that there is serious stereotyping about the image of Liaoning cities in American and Canadian news.And Chinese news did not cover entire comprehensive topics and was too late to emergency events,so they lost the chance to be an original source of news and the possibility to set the agenda,even lost the discourse power.The second result is that the differences between Chinese reports and American and Canadian reports implied culture differences,the similarities between Canadian and American reports refer to the culture intercommunity.Third,American and Canadian news used multi-framework to make the reports more reliable,but the lack of multi-dimensional reports declined the trustworthiness. 展开更多
关键词 URBAN IMAGE news framework China Daily New YORK Times Globe and MAIL
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Analysis of Non-stationary Signals Based on Nonlinear Chaotic Theories
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作者 HAN Qing-peng 《International Journal of Plant Engineering and Management》 2011年第4期249-254,共6页
In the paper, two nonlinear parameter estimation methods based on chaotic theory, surrogate data method and Lyapunov exponents, are used to distinguish the difference of non-stationary signals. After brief introductin... In the paper, two nonlinear parameter estimation methods based on chaotic theory, surrogate data method and Lyapunov exponents, are used to distinguish the difference of non-stationary signals. After brief introducting of the corresponding algorithms, two typical different non-stationary signals with different nonlinear constraining boundaries are taken to be compared by using the above two methods respectively. The obtained results demonstrate that the apparently similar signals are distinguished effectively in a quantitative way by applying above nonlinear chaotic analyses. 展开更多
关键词 non-stationary signals surrogate data method Lyapunov exponents
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