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Institution

Feng Chia University

EducationTaichung, Taiwan
About: Feng Chia University is a education organization based out in Taichung, Taiwan. It is known for research contribution in the topics: Thin film & Information hiding. The organization has 8230 authors who have published 11482 publications receiving 182994 citations. The organization is also known as: Féngjiǎ Dàxué.


Papers
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Journal ArticleDOI
TL;DR: This work generalizes the result of Esty to a nonparametric approach and extends Darroch and Ratcliff to incorporate the heterogeneity of the class probabilities to play an important role in the recommended estimation procedures.
Abstract: Assume that a random sample is drawn from a population with unknown number of classes and possibly unequal class probabilities. A nonparametric estimation technique is proposed to estimate the number of classes using the idea of sample coverage, which is defined as the sum of the cell probabilities of the observed classes. Since expected sample coverage can be well estimated, we were motivated to find its role in the estimation of the number of classes. This work generalizes the result of Esty to a nonparametric approach and extends Darroch and Ratcliff to incorporate the heterogeneity of the class probabilities. The coefficient of variation of the class sizes is shown to play an important role in the recommended estimation procedures. The performance of the proposed estimators is investigated by means of Monte Carlo simulations.

1,198 citations

Journal ArticleDOI
TL;DR: In this paper, superhydrophobic and superoleophilic graphene-based sponges are demonstrated as efficient absorbents for a broad range of oils and organic solvents with high selectivity, good recyclability, and excellent absorption capacities up to 165 times their own weight.
Abstract: Superhydrophobic and superoleophilic graphene-based sponges are demonstrated as efficient absorbents for a broad range of oils and organic solvents with high selectivity, good recyclability, and excellent absorption capacities up to 165 times their own weight. The findings show promise for large-scale removal of organic contaminants, especially in the field of oil spillage cleanup.

734 citations

Journal ArticleDOI
TL;DR: In this paper, the Al0.5CoCrCuFeNi alloys with multiprincipal elements (x=the aluminum content in molar ratio, from 0 to 3.0) were synthesized using a well-developed arc-melting and casting method.
Abstract: The AlxCoCrCuFeNi alloys with multiprincipal elements (x=the aluminum content in molar ratio, from 0 to 3.0) were synthesized using a well-developed arc-melting and casting method, and their mechanical properties were investigated. These alloys exhibited promising mechanical properties, including excellent elevated-temperature strength and good wear resistance. With the addition of aluminum from x=0 to 3.0, the hardness of the alloys increased from HV 133 to 655, mainly attributed to the increased portion of strong bcc phase to ductile fcc phase, both of which were strengthened by the solid solution of aluminum atoms and the precipitation of nanophases. The alloys exhibited superior high-temperature strengths up to 800 °C, among which the Al0.5CoCrCuFeNi alloy, especially, had enhanced plasticity and a large strain-hardening capacity. Moreover, the wear resistance of these alloys was similar to that of ferrous alloys at the same hardness level, while the alloys with lower hardness exhibited relatively higher resistance because of their large strain-hardening capacity.

685 citations

Journal ArticleDOI
TL;DR: The authors developed a set of quantitative variables to characterise urban forms at the metropolitan level and distinguish compactness from'sprawl' and developed a global Moran coefficient, which characterises the fourth dimension of urban form.
Abstract: This paper develops a set of quantitative variables to characterise urban forms at the metropolitan level and, in particular, to distinguish compactness from 'sprawl'. It first reviews and analyses past research on the definitions of urban form, compactness and sprawl, and corresponding quantitative variables. Four quantitative variables are developed to measure four dimensions of urban form at the metropolitan level: metropolitan size, activity intensity, the degree that activities are evenly distributed, and the extent that high-density sub-areas are clustered. Through a series of simulation analyses, the global Moran coefficient, which characterises the fourth dimension, distinguishes compactness from sprawl. It is high, intermediate and close to zero for monocentric, polycentric and decentralised sprawling forms respectively. In addition, the more there is more local sprawl, composed of discontinuity and strip development, the lower is the Moran coefficient.

605 citations

Journal ArticleDOI
TL;DR: A binary tree structure is exploited to solve the problem of communicating pairs of peak points and distribution of pixel differences is used to achieve large hiding capacity while keeping the distortion low.
Abstract: In this letter, we present a reversible data hiding scheme based on histogram modification. We exploit a binary tree structure to solve the problem of communicating pairs of peak points. Distribution of pixel differences is used to achieve large hiding capacity while keeping the distortion low. We also adopt a histogram shifting technique to prevent overflow and underflow. Performance comparisons with other existing schemes are provided to demonstrate the superiority of the proposed scheme.

550 citations


Authors

Showing all 8253 results

NameH-indexPapersCitations
Jo Shu Chang9963937487
Bo Huang9772840135
Kathy Lu8660238258
T.C.E. Cheng7571924636
Chin-Chen Chang69120522366
Bo Li6670919887
San-Yuan Chen5934711298
Mohsen Bahmani-Oskooee5847713839
Yu-Hwa Lo5442912155
Chiu-Yue Lin542099429
Gopalakrishnan Kumar533209235
Cha'o-Kuang Chen5144510149
Chi-Kuang Sun484949129
Christopher Y.H. Chao482498572
Sambandam Anandan443188050
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202234
2021601
2020611
2019543
2018549