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Quaternion Markov Splicing Detection for Color Images Based on Quaternion Discrete Cosine Transform
( Jinwei Wang ),( Renfeng Liu ),( Hao Wang ),( Bin Wu ),( Yun-qing Shi ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.7
With the increasing amount of splicing images, many detection schemes of splicing images are proposed. In this paper, a splicing detection scheme for color image based on the quaternion discrete cosine transform (QDCT) is proposed. Firstly, the proposed quaternion Markov features are extracted in QDCT domain. Secondly, the proposed quaternion Markov features consist of global and local quaternion Markov, which utilize both magnitude and three phases to extract Markov features by using two different ways. In total, 2916-D features are extracted. Finally, the support vector machine (SVM) is used to detect the splicing images. In our experiments, the accuracy of the proposed scheme reaches 99.16% and 97.52% in CASIA TIDE v1.0 and CASIA TIDE v2.0, respectively, which exceeds that of the existing schemes.
Jinwei Wang,Xirong Ma,Jizhou Sun,Ziping Zhao,Yuanping Zhu 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
Affective state detection, as an emerging field of artificial intelligence, is the key to designing effective natural human-computer interaction, especially for e-learning. It will be helpful to make the computer understand learners’ perceptions and provide appropriate guidance, just like teachers in traditional face-to-face classroom learning. Puzzlement is the most frequent non-neutral affective state in learning, and it is usually a sign that learners need more information and guidance. In this paper, we explore a machine learning approach for puzzlement detection from natural facial expression. We use active appearance models (AAMs) to decouple shape and appearance parameters from the face video sequences. Support vector machines (SVMs) are utilized to classify puzzlement and non-puzzlement with several features derived from AAMs. Using a 10-fold cross validation, we achieve the highest recognition rate of 98.9%. Experimental results indicate the feasibility of automatic frame-level puzzlement detection.
Hui Ji,Hui Wang,Qiumei Ji,Winbo Ji,Xiaolin Luo,Jiabo Wang,Zhixin Chai,Jinwei Xin,Xin Cai,Zhijuan Wu,Jikun Wang,Jincheng Zhong 한국유전학회 2020 Genes & Genomics Vol.42 No.11
Background miRNAs play an important role in regulating normal animal development. Muscle tissue and fat metabolismare important for maintaining energy balance in animals. Yak has important agricultural and economic importance as itprovides milk, meat, and hair. It is used for transportation as well. However, the miRNA expression profiles of their muscleand adipose tissue are currently unknown. Objective To explore the regulatory roles of miRNAs in the skeletal muscle and adipose tissues of yak. Methods A total of 12 small RNA libraries were constructed from the skeletal muscle and adipose samples from yak aged 0.5,2.5, 4.5, and 7.5 years. High-throughput sequencing and bioinformatics analysis were used to determine the dynamic expressionprofile of miRNA, and a miRNA regulatory network related to muscle and adipose tissue development was established. Results miR-1-3p and miR-143-3p showed the highest expression during yak skeletal muscle and fat development, respectively. The MAPK and Ras signaling pathways were the pivotal pathways. miR-181-5p, miR-542-3p, and miR-424-5p mayhave key roles in skeletal muscle development, and CREBRF, GRB10, CDK1, RFX3, and EPC2 were the core target genes. While miR-127-5p, miR-379-3p, and miR-494-3p may play important regulatory roles in adipose deposition, and ETV1,XPO7, and C5AR2 were the core target genes. Conclusion This study provides valuable resources for further study of the molecular mechanisms underlying yak skeletalmuscle and adipose tissue development, and also a basis for studying the interactions between genes and miRNAs.
Yunfei Dai,Wei Ma,Tong Zhang,Jinwei Yang,Chenghao Zang,Kuangpin Liu,Xianbin Wang,Jiawei Wang,Zhen Wu,Xingkui Zhang,Chunyan Li,Junjun Li,Xiangpeng Wang,Jianhui Guo,Liyan Li 한국생물공학회 2020 Biotechnology and Bioprocess Engineering Vol.25 No.3
Long noncoding RNAs (lncRNAs) play important roles in the process of cell fate determination. However, their function and expression profiles have not yet been systematically investigated during the transdifferentiation of glial precursor cells derived from dorsal root ganglia (DRG) in the peripheral nervous system. Our results demonstrated significant differences in gene architecture and expression among the three transcript types (lncRNA, mRNA, and TUCP). Distinct differences in transcript length, exon number, and ORF length were identified between lncRNAs and mRNAs after comparative analysis of their structure and sequence conservation. We found that the upregulated lncRNAs outnumbered the downregulated lncRNAs in glial precursor cells cultured with proBDNF antiserum compared with the levels in glial precursor cells cultured without proBDNF antiserum. By a series of GO and KEGG analyses, we found that the effects of some lncRNAs on their target genes in cis were related to nerve growth factor-induced cell cycle, cell phenotype change, and neuronal differentiation. The qRT-PCR verification results of lncRNAs ENSRNOT00000091991, ENSRNOT00000087717, and LNC_000429 were mostly consistent with the sequencing results. The candidate lncRNAs may be associated with the neuronal transdifferentiation of glial precursor cells. Our study provides the first evidence for a remarkably diverse pattern of lncRNA expression during neuronal differentiation of glial precursor cells from rat DRG, and also provides a resource for lncRNA studies in the field of cell differentiation.
Wang Xinjun,Cheng Peng,Xie Jinwei,Zhou Zijie 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.8
The present paper investigated the enhancement of moisture-separation efficiency for ordinary special crossunder pipe separators(SCRUPSs) and proposed three structure-modified separators (combined separator, Z-shaped SCRUPSs, and spiral-type SCRUPSs). Deposition mechanisms for droplets with different sizes were considered using commercial CFD flow solver. Results show that threestructuremodified separators can increase droplet deposition rate to varying degrees. Regarding flow losses, spiral-type SCRUPSs causethe highest increase, with a total pressure loss coefficient of 231%, although it has the best deposition rate improvement. Among the threestructure-modified separators, "Z" shape separator has the best separation performance because of its higher moisture-separation efficiencyand lower total pressure loss efficiency. Results could provide theoretical basis for research on and development of this new typeof moisture separator.
Jinwei Fan,Xingfei Ren,Ri Pan,Peitong Wang,Haohao Tao 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.23 No.9
In the magnetic composite fluid (MCF) polishing process, appropriate polishing parameters are the basis of achieving high-quality polishing without damage. Appropriate polishing parameters are mainly based on an accurate polishing model and an excellent polishing parameters optimization algorithm. However, due to the complicated principle of MCF polishing and various influencing elements, traditional modeling methods have the limitations of low accuracy, poor application, and difficulty in correcting. Therefore, it is challenging to obtain the optimal polishing quality by optimizing the polishing parameters based on the traditional model. This study proposed an online modeling approach considering data cleaning based on machine learning modeling, and the particle swarm optimization (PSO) algorithm was used to optimize polishing parameters. Then, copper polishing experiments were carried out to validate the modeling and optimization methods. The results demonstrate that the proposed machine learning online modeling method can establish an accurate MCF polishing model, and the nano-scale fine polishing of copper can be achieved by the optimized polishing parameters of PSO, and the surface roughness of the copper sample was reduced by 85% to 0.031 μm.
Numerical investigation of effects of rotating downdraft on tornado-like-vortex characteristics
Cao, Shuyang,Wang, Mengen,Zhu, Jinwei,Cao, Jinxin,Tamura, Tetsuro,Yang, Qingshan Techno-Press 2018 Wind and Structures, An International Journal (WAS Vol.26 No.3
Appropriate modeling of a tornado-like vortex is a prerequisite when studying the near-ground wind characteristics of a tornado and tornado-induced wind loads on structures. Both Ward- and ISU-type tornado simulators employ guide vanes to induce angular momentum to converge flow in order to generate tornado-like vortices. But in the Ward-type simulator, the guide vanes are mounted near the ground while in the ISU-type they are located at a high position to allow vertical circulation of flow that creates a rotating downdraft to generate a tornado-like vortex. In this study, numerical simulations were performed to reproduce tornado-like vortices using both Ward-type and ISU-type tornado simulators, from which the effects of rotating downdraft on the vortex characteristics were clarified. Particular attention was devoted to the wander of tornado-like vortices, and their dependences on swirl ratio and fetch length were investigated. The present study showed that the dynamic vortex structure depends significantly on the vortex-generating mechanism, although the time-averaged structure remains similar. This feature should be taken into consideration when tornado-like-vortex simulators are utilized to investigate tornado-induced wind forces on structures.
Numerical investigation of effects of rotating downdraft on tornado-like-vortex characteristics
Shuyang Cao,Mengen Wang,Jinwei Zhu,Jinxin Cao,Tetsuro Tamura,Qingshan Yang 한국풍공학회 2018 Wind and Structures, An International Journal (WAS Vol.26 No.3
Appropriate modeling of a tornado-like vortex is a prerequisite when studying the near-ground wind characteristics of a tornado and tornado-induced wind loads on structures. Both Ward- and ISU-type tornado simulators employ guide vanes to induce angular momentum to converge flow in order to generate tornado-like vortices. But in the Ward-type simulator, the guide vanes are mounted near the ground while in the ISU-type they are located at a high position to allow vertical circulation of flow that creates a rotating downdraft to generate a tornado-like vortex. In this study, numerical simulations were performed to reproduce tornado-like vortices using both Ward-type and ISU-type tornado simulators, from which the effects of rotating downdraft on the vortex characteristics were clarified. Particular attention was devoted to the wander of tornado-like vortices, and their dependences on swirl ratio and fetch length were investigated. The present study showed that the dynamic vortex structure depends significantly on the vortex-generating mechanism, although the time- averaged structure remains similar. This feature should be taken into consideration when tornado-like-vortex simulators are utilized to investigate tornado-induced wind forces on structures.