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A Painting Style System using an Improved CNN Algorithm
Yuan Zhong,Xinyan Huang 대한전자공학회 2022 IEIE Transactions on Smart Processing & Computing Vol.11 No.5
The rapid development of deep learning technology allows ordinary people to create artwork that imitates the style of paintings by famous masters through an algorithm. To create such works with artistic style, this research proposes an artificial neural network algorithm based on an improved convolutional neural network (CNN). First, a fast style-rendering model based on the improved CNN is constructed, and then, a server front end is built with the Bootstrap framework. The server-side back end of the system is built by combining a Python algorithm and a web framework, and finally, a complete model of the front-end and back-end network of the style rendering system is constructed. The model proposed in this paper is compared with two other models to verify its performance. The results show that information entropy of the model constructed is the highest at 5.58, which is higher than information entropy of the other two models. The average gradient value and the peak signal-to-noise ratio under the constructed model are 22.54 and 27.81, respectively, which are also higher than the other two models. Mutual information and the structural similarity index between rendered images and sample images under all three models were compared. Mutual information and structural similarity index of the model constructed by this research are 1.19 and 0.56, respectively, with much larger data sizes than the two comparison models.
Zhong, Yuan-Hong,Huang, Zhi-Yong,Zhu, Bin,Wu, Hua Korea Information Processing Society 2015 Journal of information processing systems Vol.11 No.3
It is widely accepted that single carrier frequency division multiple access (SC-FDMA) is an excellent candidate for broadband wireless systems. Channel estimation is one of the key challenges in SC-FDMA, since accurate channel estimation can significantly improve equalization at the receiver and, consequently, enhance the communication performances. In this paper, we study the application of compressive sensing for sparse channel estimation in a SC-FDMA system. By skillfully designing pilots, their patterns, and taking advantages of the sparsity of the channel impulse response, the proposed system realizes channel estimation at a low cost. Simulation results show that it can achieve significantly improved performance in a frequency selective fading sparse channel with fewer pilots.
A case study on safety integrity level analysis for shale gas station
Yuan-Jian Yang,Chao Huang,Qiu-Yang Zhong,Hai-Jun Chen,Hong-Zhong Huang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.12
Safety integrity level (SIL), as defined in IEC 61511, is a widely used safety performance measure for safety instrumented functions. Shale gas station is an important part of shale gas gathering and transportation system. To ensure the safety of its instrument system is of great significance to the safe and stable operation of the whole gathering and transportation system. This paper is motivated to conduct a case study on safety integrity analysis for shale gas station by using the layer of protection analysis method (LOPA). Firstly, the equipment under control (EUC) is identified. It is followed by the analysis of reaction reasons on safety instrumented function (SIF) from safety instrumented system (SIS). Finally, according to the identification of independent protection layer (IPL) and probability of failure on demand (PFD), the SIL analysis for every SIF is carried out. The result shows that the SIS of this shale gas station has reached the required of SIL and there is no need for further increase in SIS. Utilizing this method can accurately determine the reliability of the SIS in the station, and it can also be the reference of safe operation for this shale gas station.
( Yuan Hong Zhong ),( Zhi Yong Huang ),( Bin Zhu ),( Hua Wu ) 한국정보처리학회 2015 Journal of information processing systems Vol.11 No.3
It is widely accepted that single carrier frequency division multiple access (SC-FDMA) is an excellent candidate for broadband wireless systems. Channel estimation is one of the key challenges in SC-FDMA, since accurate channel estimation can significantly improve equalization at the receiver and, consequently, enhance the communication performances. In this paper, we study the application of compressive sensing for sparse channel estimation in a SC-FDMA system. By skillfully designing pilots, their patterns, and taking advantages of the sparsity of the channel impulse response, the proposed system realizes channel estimation at a low cost. Simulation results show that it can achieve significantly improved performance in a frequency selective fading sparse channel with fewer pilots.
Zhong-Yuan Li,Hui-Qun Song,Jia Chen,Xing-Quan Zhu 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.3
Toxoplasma gondii is an opportunistic protozoan parasite that can infect almost all warm-blooded animals including humans with a worldwide distribution. Micronemes play an important role in invasion process of T. gondii, associated with the attachment, motility, and host cell recognition. In this research, sequence diversity in microneme protein 6 (MIC6) gene among 16 T. gondii isolates from different hosts and geographical regions and 1 reference strain was examined. The results showed that the sequence of all the examined T. gondii strains was 1,050 bp in length, and their A + T content was between 45.7% and 46.1%. Sequence analysis presented 33 nucleotide mutation positions (0-1.1%), resulting in 23 amino acid substitutions (0-2.3%) aligned with T. gondii RH strain. Moreover, T. gondii strains representing the 3 classical genotypes (Type I, II, and III) were separated into different clusters based on the locus of MIC6 using phylogenetic analyses by Bayesian inference (BI), maximum parsimony (MP), and maximum likelihood (ML), but T. gondii strains belonging to ToxoDB #9 were separated into different clusters. Our results suggested that MIC6 gene is not a suitable marker for T. gondii population genetic studies.