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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

QUasi-affine TRansformation Evolutionary (QUATRE) algorithm: The framework analysis for global optimization and application in hand gesture segmentation

TL;DR: The performance shows that the QUATRE framework outperforms other swarm based optimization algorithms and it also tackles the pixel threshold tuning problem in hand gesture segmentation of a hand gesture remote control system very well.
Journal ArticleDOI

A new vector quantization image coding algorithm based on the extension of the bound for minkowski metric

TL;DR: A new inequality is derived from the bound for the Minkowski metric that can be interpreted as the generalized form of the basic inequality used in the mean-distance-ordered partial codebook search (MPS) algorithm.
Book ChapterDOI

An Energy-Aware Routing Protocol Using Cat Swarm Optimization for Wireless Sensor Networks

TL;DR: An energy-aware routing protocol for wireless sensor networks based on the ladder diffusion algorithm and cat swarm optimization algorithm that can avoid the generation of circle routes and provide the backup routes.
Journal ArticleDOI

An Energy Balancing Strategy Based on Hilbert Curve and Genetic Algorithm for Wireless Sensor Networks

TL;DR: A three-tier wireless sensor network is proposed, in which the first level is the sink nodes and the third-level nodes communicate with the sink node via the service sites on the second level to decrease transmission energy cost and prolong network lifespan.

Multipurpose Image Watermarking Method Based on Mean-removed Vector Quantization

TL;DR: This paper presents a novel multipurpose digital image watermarking method based on a mean-removed vector quantizer (MRVQ) structure that can be used for content authentication and copyright protection.