Institution
Ming Chuan University
Education•Taoyuan District, Taiwan•
About: Ming Chuan University is a education organization based out in Taoyuan District, Taiwan. It is known for research contribution in the topics: Tourism & Service quality. The organization has 2206 authors who have published 3205 publications receiving 52602 citations. The organization is also known as: MCU.
Topics: Tourism, Service quality, The Internet, Wireless network, Population
Papers published on a yearly basis
Papers
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TL;DR: In this article, the preventive behaviors of restaurant customers towards COVID-19 are shaped by exposure and attention to media coverage, thereby connecting the issues of community anxieties and business resilience during crises.
26 citations
TL;DR: In this article, the authors examined the heterogeneity in order submission behaviors of investors in the Taiwan Stock Exchange and found that professional institutional investors, particularly foreign investors, behave in a manner consistent with the suggested strategy by the KD trading rule, and individual investors, acting like liquidity suppliers, tend to net sell (buy) those stocks.
26 citations
TL;DR: Three line fitting methods using k -means algorithm are proposed and an algorithm using an explicit initial partition according to the local property of distance deviation can obtain consistent and better results.
26 citations
TL;DR: In this paper, a vascular mimetic membrane system was used to investigate the effect of cholesterol content in lipid bilayer on the dynamics of the melittin-membrane penetration reaction with real-time monitoring by a piezoelectric sensor and the assessment morphology using atomic force microscopy (AFM).
26 citations
27 Sep 2006
TL;DR: In this paper, the concept of probability is used to construct an optimization model for general access structures, and the solution space is searched by genetic algorithms to reach better contrast and blackness of black pixels.
Abstract: Visual cryptography schemes encrypt a secret image into n shares so that any qualified set of shares enables one to visually decrypt the hidden secret; whereas any forbidden set of shares cannot leak out any secret information. In the study of visual cryptography, pixel expansion and contrast are two important issues. Since pixel-expansion based methods encode a pixel to many pixels on each share, the size of the share is larger than that of the secret image. Therefore, they result in distortion of shares and consume more storage space. In this paper, we propose a method to reach better contrast without pixel expansion. The concept of probability is used to construct an optimization model for general access structures, and the solution space is searched by genetic algorithms. Experimental result shows that the proposed method can reach better contrast and blackness of black pixels in comparison with Ateniese et al.'s.
26 citations
Authors
Showing all 2214 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Yenchun Jim Wu | 35 | 187 | 4911 |
| Peng-Yeng Yin | 34 | 98 | 3230 |
| Yun-Shien Lee | 34 | 119 | 3235 |
| King-Chuen Lin | 32 | 295 | 3963 |
| Chun-Houh Chen | 31 | 76 | 4679 |
| Angel Chao | 30 | 115 | 2651 |
| Jan-Ming Ho | 28 | 232 | 4728 |
| Tzu-Hao Wang | 28 | 108 | 2515 |
| Chi-Neu Tsai | 26 | 73 | 2308 |
| Hund-Der Yeh | 26 | 170 | 2176 |
| Bertrand M.T. Lin | 25 | 98 | 2612 |
| Tser-Yieth Chen | 24 | 78 | 1943 |
| Cheng-Wei Wu | 23 | 50 | 2884 |
| Guan Chiun Lee | 22 | 57 | 2063 |
| Hiram Ting | 22 | 95 | 1711 |