Cheng-yi Qu
Biographic Data
| ID | 10238115 |
|---|---|
| NAME | Cheng-yi Qu |
| GIVEN NAMES | Cheng-yi |
| FAMILY NAME | Qu |
| SIGNATURE | QU C |
| AFFILIATIONS | Suzhou University of Science and Technology |
| ORCID | 0000-0002-4669-7048 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Behavioral compliance with preventive health measures for students with and without hearing disability during Covid-19 pandemic
Background Hearing loss affects over 1.5 billion individuals worldwide. Their disability and limited access to the coronavirus (COVID-19) pandemic information make them suffer a greater degree than ordinary people. However, the quantitative studies on the implementation of behavior compliance with preventive health measures for vulnerable groups such as people with hearing disability were limited. The purpose of this study was to explore the comp…
Robust Watermarking Scheme for Vector Geographic Data Based on the Ratio Invariance of DWT–CSVD Coefficients
Traditional frequency-domain watermarking algorithms for vector geographic data suffer from disadvantages such as the random watermark embedding position, unpredictable embedding strength, and difficulty in resisting multiple attacks at the same time. To address these problems, we propose a novel watermarking algorithm based on the geometric invariance of the ratios of discrete wavelet transform (DWT) and complex singular value decomposition (CSV…
No prominent works on this page.
Behavioral compliance with preventive health measures for students with and without hearing disability during Covid-19 pandemic
Background Hearing loss affects over 1.5 billion individuals worldwide. Their disability and limited access to the coronavirus (COVID-19) pandemic information make them suffer a greater degree than ordinary people. However, the quantitative studies on the implementation of behavior compliance with preventive health measures for vulnerable groups such as people with hearing disability were limited. The purpose of this study was to explore the comp…
Robust Watermarking Scheme for Vector Geographic Data Based on the Ratio Invariance of DWT–CSVD Coefficients
Traditional frequency-domain watermarking algorithms for vector geographic data suffer from disadvantages such as the random watermark embedding position, unpredictable embedding strength, and difficulty in resisting multiple attacks at the same time. To address these problems, we propose a novel watermarking algorithm based on the geometric invariance of the ratios of discrete wavelet transform (DWT) and complex singular value decomposition (CSV…
2019-20 coronavirus outbreak (1 work) · Advanced Steganography and Watermarking Techniques (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Biometric Identification and Security (1 work) · Computer Science (1 work) · Cross-sectional study (1 work) · Digital Media Forensic Detection (1 work) · Digital watermarking (1 work) · Discrete wavelet transform (1 work)