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Design of Abnormal Data Analysis and Processing System Based on RFID Supply Chain
Chunfeng Wang,Shuiming Zhong,Jin Wang 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.11
With the deep application of RFID, the deployment of the RFID system is gradually to have the large-scale, networked, distributed development trend. The previous abnormal data analysis and processing way can not meet with the need of data processing. According to the survey of international famous consulting company (Gartner) for the "information overload", results show that more than 90% of the enterprises think the enterprise competitiveness is closely related to its information capacity. In order to obtain the useful information, we must analyze, process the data, and exclude "exception" data. So, it is very important to realize the detection of abnormal data. This paper presents the RFID supply an abnormal data analysis and processing system of RFID supply chain based on distance, rules and middleware technology .This system is divided into three levels: data processing layer, anomaly analysis lay and graphical display layer. Finally, through the performance analysis of the system, the effectiveness of the system has been verified.
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A Novel Adaptive Architecture Pruning Algorithm for Madalines
Sai Ji,Ping Yang,Shuiming Zhong,Jin Wang,Jeong-Uk Kim 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6
Nowadays, the big success of deep learning makes artificial neural network becoming a hot topic once again, and the size of neural networks’ structure is a key visual cue for structured learning. The greater network may get the study task done well, while it may increase network computation overhead easier and cost more. Hence, network construction is an important issue, as well as a difficult problem. In this paper, we proposed a novel sensitivity-based adaptive architecture pruning algorithm for Madalines. The algorithm establishes a pruning measure based on the network sensitivity to its structure variation and a minimal disturbance principle. The measure can be used to evaluate the performance loss due to its structure changes more or less. And the loss can be compensated by relearning. Thus, the new adaptive pruning mechanism is developed with measuring, pruning, and compensating. The simulation experimental results based on some benchmark data demonstrate that the pruning measure is rationality and the new algorithm is effective.
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Xiaoyan Zhang,Sha Chen,Feipeng Duan,An Liu,Shaojing Li,Wen Zhong,Wei Sheng,Jun Chen,Jiang Xu,Shuiming Xiao 고려인삼학회 2021 Journal of Ginseng Research Vol.45 No.2
Background: Gut microbiota mainly function in the biotransformation of primary ginsenosides into bioactive metabolites. Herein, we investigated the effects of three prebiotic fibers by targeting gut microbiota on the metabolism of ginsenoside Rb1 in vivo. Methods: Sprague Dawley rats were administered with ginsenoside Rb1 after a two-week prebiotic intervention of fructooligosaccharide, galactooligosaccharide, and fibersol-2, respectively. Pharmacokinetic analysis of ginsenoside Rb1 and its metabolites was performed, whilst the microbial composition and metabolic function of gut microbiota were examined by 16S rRNA gene amplicon and metagenomic shotgun sequencing. Results: The results showed that peak plasma concentration and area under concentration time curve of ginsenoside Rb1 and its intermediate metabolites, ginsenoside Rd, F2, and compound K (CK), in the prebiotic intervention groups were increased at various degrees compared with those in the control group. Gut microbiota dramatically responded to the prebiotic treatment at both taxonomical and functional levels. The abundance of Prevotella, which possesses potential function to hydrolyze ginsenoside Rb1 into CK, was significantly elevated in the three prebiotic groups (P < 0.05). The gut metagenomic analysis also revealed the functional gene enrichment for terpenoid/polyketide metabolism, glycolysis, gluconeogenesis, propanoate metabolism, etc. Conclusion: These findings imply that prebiotics may selectively promote the proliferation of certain bacterial stains with glycoside hydrolysis capacity, thereby, subsequently improving the biotransformation and bioavailability of primary ginsenosides in vivo.
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