Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Cheng-Hsiung Yang"'
Autor:
Han-Shen Feng, Cheng-Hsiung Yang
Publikováno v:
IEEE Access, Vol 11, Pp 101347-101358 (2023)
The activation function has a critical influence on whether a convolutional neural network in deep learning can converge or not; a proper activation function not only makes the convolutional neural network converge faster but also can reduce the comp
Externí odkaz:
https://doaj.org/article/14721bf7f3b04aa4873248c002bbbeac
Autor:
Tze-Han Chen, Cheng-Hsiung Yang
Publikováno v:
IEEE Access, Vol 10, Pp 82751-82765 (2022)
In recent years, image processing has attracted a lot of attention due to its high accuracy to detect and classify objects in images. Therefore, based on the encryption algorithm, this paper adds deep learning to construct an algorithm that uses a hy
Externí odkaz:
https://doaj.org/article/87dfde063269478182838c4808a86b24
Autor:
Cheng-Hsiung Yang, Ben Shen Deng
Publikováno v:
IEEE Access, Vol 8, Pp 115957-115965 (2020)
In general, harmonic balance problems are extremely nonconvex and difficult to solve. A convex relaxation in the form of semidefinite programming has attracted a lot of attention recently, as it finds a global solution with high accuracy without the
Externí odkaz:
https://doaj.org/article/bc35a0142e5e4d5baf7350836e92b1b8
Publikováno v:
IEEE Access, Vol 7, Pp 50513-50523 (2019)
In this paper, we proposed to improve bit insertion based on the common chaotic encryption algorithm, which reduces the computational complexity of the chaotic encryption algorithm and is used on low computational systems. We changed the encryption s
Externí odkaz:
https://doaj.org/article/2c3567645b6f4080b89235f1326378a7
Publikováno v:
Actuators, Vol 10, Iss 11, p 284 (2021)
Chaotic behavior is complicated, sensitive, and has the feature of great variety, which are the most potential signals to be applied in data encryption, secure communication, medical information protection, etc. As a consequence, in this paper, we tr
Externí odkaz:
https://doaj.org/article/b0cc0d3da99c4c5ab4d8a53aec02aaed
Autor:
Cheng-Hsiung Yang, Yu-Sheng Chien
Publikováno v:
Symmetry, Vol 12, Iss 2, p 189 (2020)
In this paper, we propose an image encryption algorithm based on four-dimensional chaotic system to generate key and improve advanced encryption standard. The encryption algorithm is optimized by using the pipeline and parallel computing features of
Externí odkaz:
https://doaj.org/article/f353d1af2f63480a8ed6008bb14d175f
Publikováno v:
Abstract and Applied Analysis, Vol 2015 (2015)
A novel bioinspired control strategy design is proposed for generalized synchronization of nonlinear chaotic systems, combining the bioinspired stability theory, fuzzy modeling, and a novel, simple-form Lyapunov control function design of derived hig
Externí odkaz:
https://doaj.org/article/7162d0065a8240beb8d9b639d42edfb5
Autor:
Cheng-Hsiung Yang, Cheng-Lin Wu
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
Recently many chaotic systems’ circuits are designed to generate phenomenon of chaos signals. The ability to synchronize chaotic circuits opens a great number of ways to use them in application signals masking. In this paper, first a new nonlinear
Externí odkaz:
https://doaj.org/article/a3c338d99ed143509969d28b42c51705
Autor:
Cheng-Hsiung Yang, Cheng-Lin Wu
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
An adaptive control scheme is developed to study the generalized adaptive chaos synchronization with uncertain chaotic parameters behavior between two identical chaotic dynamic systems. This generalized adaptive chaos synchronization controller is de
Externí odkaz:
https://doaj.org/article/fbdc8644113943caac888e4540cc02a8
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
Fuzzy electronic circuit (FEC) is firstly introduced, which is implementing Takagi-Sugeno (T-S) fuzzy chaotic systems on electronic circuit. In the research field of secure communications, the original source should be blended with other complex sign
Externí odkaz:
https://doaj.org/article/accb7b0c244d4500accdfe61d54ed22d