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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Journal ArticleDOI
A Convolution Location Method for Multi-Node Scheduling in Wireless Sensor Networks
TL;DR: This work proposes a convolution-based continuous object localization algorithm (named CCOL) and implements the idea of greedy and dynamic programming to design an energy-saving and efficient strategy model (named MSSM) to respond to emergencies caused by multiple continuous targets in most specific WSNs.
Journal ArticleDOI
Equilibrium optimizer of interswarm interactive learning strategy
TL;DR: This paper proposes an equilibrium optimiser of interswarm interactive learning strategy to plan the shortest flight path of drones.
Book ChapterDOI
Hierarchical Semantic Approximate Multi-keyword Ranked Search over Encrypted Data
TL;DR: Performance analysis is demonstrated that the proposed hierarchical semantic approximate multi-keyword ranked search (HSAMS) scheme is efficient and effective while supporting semantic approximate match.
Journal ArticleDOI
PSR: Unified Framework of Parameter-Learning-Based MR Image Superresolution.
TL;DR: In this article, the authors proposed an optimal dictionary construction parameter search method through the experiment to find the optimal dictionary reconstruction parameters on the MR image and compare them with the dictionary obtained by multiple sets of random dictionary construction parameters.
Proceedings ArticleDOI
A distance coefficient-based algorithm for k-center selection in wireless sensor networks
TL;DR: In this article, a distance coefficient-based scheme is proposed to solve the problem of selecting k control centers from the sensors in a wireless sensor network as well as dividing the sensors into k groups for the minimization of the distance between each control center and its farthest sensor.