J
Jeng-Shyang Pan
Researcher at Shandong University of Science and Technology
Publications - 889
Citations - 14887
Jeng-Shyang Pan is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Digital watermarking & Computer science. The author has an hindex of 50, co-authored 789 publications receiving 11645 citations. Previous affiliations of Jeng-Shyang Pan include National Kaohsiung Normal University & Technical University of Ostrava.
Papers
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Proceedings ArticleDOI
The Application and Study of Graph Cut in Motion Segmentation
TL;DR: Experimental results show that the two methods studied previously for segmenting moving objects based on graph cut can get effective and fast results in motion segmentation by using graph cut technology.
Journal ArticleDOI
Mutigroup-Based Phasmatodea Population Evolution Algorithm with Mutistrategy for IoT Electric Bus Scheduling
Yunxiang Zhu,Fengting Yan,Jeng-Shyang Pan,Lei Yu,Yuan Fei Bai,Weigang Wang,Chunxia He,Zhicai Shi +7 more
TL;DR: A multigroup-based Phasmatodea population evolution algorithm with mutistrategy (MPPE) is proposed to further improve the overall performance of PPE and is applied to the IoT based electric bus scheduling for urban waterlogging situation and the excellent performance of MPPE is verified comprehensively.
Proceedings ArticleDOI
A New 3D Shape Descriptor Based on Rotation
TL;DR: A new 3D shape description method based on rotation is proposed in this paper, which does Gauss mapping and rotate model, at the same time, rotate the Gauss sphere.
Proceedings ArticleDOI
Use EMO to protect sensitive knowledge in association rule mining by removing items
TL;DR: This paper focuses on privacy preserving in association rule mining by tackling the problem from a point view of multi-objective optimization in light of the tradeoff between hiding sensitive rules and disclosing non-sensitive ones during hiding process.
Proceedings ArticleDOI
A Survey of Performance Assessment for Multiobjective Optimizers
TL;DR: The theory and methods proposed in the past decade and their characteristics based on relevant literature are summarized and classified as quality indicator based approaches and statistic test approach here.