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Jianyao Li,Fang Liu,Jose I. Rojas-Mendez 서울대학교 교육연구소 2013 Asia Pacific Education Review Vol.14 No.3
Previous research studies identified country image as an important variable in international students’ selection of onshore programs, and it is often perceived that there is little difference between onshore and offshore program selection. Looking at a sample of high school students in China and their selections of offshore programs (from a sample program in Australia, the UK, and the US), this study reveals an insignificant influence of country image. Instead, both higher education country image and the local partner institution image significantly influence the students’ selections. The findings also indicate that the effects of attitude toward behavior, subject norm, and perceived behavioral control appear to be more significant than those of the images in most of the analyses. Implications for international educators and marketers of offshore programs are discussed.
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Jianyao Zhu,Jianyi Liu,Zhaorong Zhou,Li Li 한국전자통신연구원 2016 ETRI Journal Vol.38 No.6
This paper addresses the resource allocation (RA) problem in multi-cell cognitive radio networks. Besides the interference power threshold to limit the interference on primary users PUs caused by cognitive users CUs, a proportional fairness constraint is used to guarantee fairness among multiple cognitive cells and the impact of imperfect spectrum sensing is taken into account. Additional constraints in typical real communication scenarios are also considered—such as a transmission power constraint of the cognitive base stations, unique subcarrier allocation to at most one CU, and others. The resulting RA problem belongs to the class of NP-hard problems. A computationally efficient optimal algorithm cannot therefore be found. Consequently, we propose a suboptimal RA algorithm composed of two modules: a subcarrier allocation module implemented by the immune algorithm, and a power control module using an improved sub-gradient method. To further enhance algorithm performance, these two modules are executed successively, and the sequence is repeated twice. We conduct extensive simulation experiments, which demonstrate that our proposed algorithm outperforms existing algorithms.
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