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        Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition

        ( Feiniu Yuan ),( Tiantian Tang ),( Xue Xia ),( Jinting Shi ),( Shuying Li ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.4

        Visual smoke recognition is a challenging task due to large variations in shape, texture and color of smoke. To improve performance, we propose a novel smoke recognition method by combining dual-encoded features that are extracted from both spatial and Curvelet domains. A Curvelet transform is used to filter an image to generate fifty sub-images of Curvelet coefficients. Then we extract Local Binary Pattern (LBP) maps from these coefficient maps and aggregate histograms of these LBP maps to produce a histogram map. Afterwards, we encode the histogram map again to generate Dual-encoded Local Binary Patterns (Dual-LBP). Histograms of Dual-LBPs from Curvelet domain and Completed Local Binary Patterns (CLBP) from spatial domain are concatenated to form the feature for smoke recognition. Finally, we adopt Gaussian Kernel Optimization (GKO) algorithm to search the optimal kernel parameters of Support Vector Machine (SVM) for further improvement of classification accuracy. Experimental results demonstrate that our method can extract effective and reasonable features of smoke images, and achieve good classification accuracy.

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        Dynamic colonization of gut microbiota and its influencing factors among the breast-feeding infants during the first two years of life

        Li Ping,Chang Xuelian,Chen Xiaoyu,Tang Tiantian,Liu Yajing,Shang Yu,Qi Kemin 한국미생물학회 2022 The journal of microbiology Vol.60 No.8

        The maturation of infant gut microbiota has lifelong implications on health, which has been proposed as the major events during the first year of life. However, little is known about their dynamic colonization and influencing elements among the first two-year infancy as well as into the adulthood. So based on the 16S rRNA sequencing data among 30 healthy breast-feeding mother-infant pairs with normal ranges of growth and development indicators from birth to two years old, the dynamic colonization of gut microbiota and its influencing factors were discussed using this birth cohort. Among these, we identified that the diversity of gut microbiota was significantly increased from six-month to two-year subgroups. The significantly dynamic trends of gut microbiota at the phylum (genus) level were that the percents of Firmicutes (Faecalibacterium, Blautia, Enterococcus, Subdoligranulum, Agathobacter, unidentified_Erysipelotrichaceae, Staphylococcus, unidentified_Ruminococcaceae, and Fusicatenibacter), Bacteroidetes and Verrucomicrobia were increased, while Actinobacteria (Bifidobacterium) and Proteobacteria (unidentified- Enterobacteriaceae and Klebsiella) were decreased with the increased ages from six months to two years old, which might simultaneously modulate the host pathways, such as the higher percents of chemoheterotrophy and fermentation, and lower percentages of nitrate_reduction, aerobic_chemoheterotrophy and so on. Furthermore, there were significant associations between maternal (milk microbiota, pre-pregnancy BMI, BMI increment during the pregnancy)/infant characteristics (BMI at birth and BMI gain), and the compositions of gut microbiota. However, no differences of gut microbiota were shown between the different sex and productive mode subgroups. Overall, the colonization of gut microbiota is significantly matured into the adulthood with the increased ages to two-years old and regulated by the above maternal/infant characteristics, which will provide a new direction for the host-gut microbiota interplay during the first two years of life.

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