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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Book ChapterDOI
Overview of Some Intelligent Control Structures and Dedicated Algorithms
TL;DR: This chapter focuses on intelligent control based on fuzzy logic, intelligent controlbased on neural network, expert control and human-like intelligent control, and hierarchical intelligent control and learning control, to provide relevant and useful programming for readers to practice.
Journal ArticleDOI
A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation
Ling Li,Tien-Szu Pan,Xiao-Xue Sun,Shu-Chuan Chu,Shu-Chuan Chu,Jeng-Shyang Pan,Jeng-Shyang Pan +6 more
TL;DR: In this paper, a binary slime mold algorithm and the strategy of adding unselected factors proposed in this paper have a good performance in spectrum allocation and the resulting spectrum allocation scheme can achieve efficient use of network resources.
Proceedings Article
Hierarchical Routing Strategy for Wireless Sensor Network
TL;DR: GAHL routing scheme based on genetic algorithm and Harel method is proposed to solve the problem of bottleneck for WSNs and shows a good performance compared to other well-known algorithms.
Journal ArticleDOI
An efficient hybrid distributed video coding
TL;DR: Experimental results indicate the proposed HDVC achieves evident improvement than the referenced, and is proposed to offer good rate-distortion performance and low-complexity encoding.
Journal ArticleDOI
A two-phase quasi-affine transformation evolution with feedback for parameter identification of photovoltaic models
Xiaopeng Wang,Shu-Chuan Chu,Shu-Chuan Chu,Vaclav Snasel,Lingping Kong,Jeng-Shyang Pan,Jeng-Shyang Pan,Hisham A. Shehadeh +7 more
TL;DR: In this article, a two-phase quasi-affine transformation evolution with feedback (tfQUATRE) algorithm is proposed to improve the exploration and exploitation abilities by adjusting the search tendency at different phases.