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Shu-Chuan Chu
Researcher at Shandong University of Science and Technology
Publications - 303
Citations - 5475
Shu-Chuan Chu is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 28, co-authored 231 publications receiving 3652 citations. Previous affiliations of Shu-Chuan Chu include University of South Australia & Sewanee: The University of the South.
Papers
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Proceedings ArticleDOI
Multiple description watermarking for lossy network
TL;DR: By modifying the multiple description vector quantization (MDVQ) algorithm for watermark embedding and extraction, simulation results not only demonstrate the effective transmission of a watermarked image, but reveal the robustness of the extracted watermark.
Proceedings Article
No-reference Quality Metric of Blocking Artifacts Based on Orthogonal Moments
TL;DR: A no-reference quality metric for evaluating the blocking artifacts in images based on a finding that the blocking artifact has direct effect on the distribution of discrete Tchebichef moments is presented.
Proceedings ArticleDOI
An Echo-Aided Bat Algorithm to Support Measurable Movement for Optimization Efficiency
TL;DR: The experimental numeric result shows that EABA has better ability of search to improve the quality of the best solution than BA and the solution performance is improved by 45% and 30% for the functions of low complexity and high complexity in comparison with the original bat algorithm, respectively.
Journal ArticleDOI
SAKAP: SGX-Based Authentication Key Agreement Protocol in IoT-Enabled Cloud Computing
TL;DR: Wang et al. as mentioned in this paper proposed an Intel software-guard-extensions (SGX)-based authentication key agreement protocol in an IoT-enabled cloud computing environment to ensure data privacy and sustainable communication between the entities.
Journal ArticleDOI
Adaptive Cat Swarm Optimization Algorithm and Its Applications in Vehicle Routing Problems
Xiao-Fang Ji,Jeng-Shyang Pan,Jeng-Shyang Pan,Shu-Chuan Chu,Shu-Chuan Chu,Pei Hu,Qing-Wei Chai,Ping Zhang +7 more
TL;DR: This paper proposes a novel hybrid algorithm named Adaptive Cat Swarm Optimization, which combines the benefits of two swarm intelligence algorithms, CSO and APSO, and presents better search results and shows the effectiveness and efficiency of the innovative hybrid algorithm.