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Shumei Liu 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.6
Cloud manufacturing combined with information manufacturing, the Internet of things(IoT), cloud computing, and semantic web technology. Through extending and changing the service technology and network manufacturing, it makes the manufacturing resources and manufacturing capabilities virtualization and servicization. It can make centralized and unified intelligent management for manufacturing. Therefore, the establishment of appropriate cloud manufacturing QoS(quality of service) model is the basis and prerequisite for the development of related research of cloud manufacturing. The existing QoS model ignored the effect of time on QoS. This directly leads to the lack of accuracy of modeling, and further affects the implementation effect of the follow-up study on the prediction, service selection and so on. With cloud manufacturing evaluation criteria, this paper proposes a five dimensional QoS evaluation criteria and the corresponding calculation formula, it is consistent with the cloud manufacturing background. Secondly, we establish the QoS prediction model based on the support vector machine with arbitrary penalty band. This model can cover the shortage for the previous studies, and effectively solve the problem of the dimension of QoS prediction in cloud manufacturing. Thirdly, this paper predicts 5 important QoS indexes. The experimental data from a cloud manufacturing provider's historical data, and the experimental use a large number of historical QoS value to train the support vector machine with arbitrary penalty band. Network training is terminated when the coefficient is greater than 0.995. Then, the QoS value of the seven nodes in the future is predicted by the QoS value of the sample data set. Finally, the experiment shows that the support vector regression machine with arbitrary penalty has a good prediction effect on QoS of cloud manufacturing. But the artificial neural network and the gray forecast model has poor effect on it.
Shumei liu 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3
The development of network technology has brought convenience to people's life, but also provides the convenience for the virus, Trojan and other destructive programs to attack the network. Then, the computer network security is becoming more and more dangerous. Accurately and scientifically predict the risk of network, it can effectively prevent the risk, and reduce the loss caused by the problem of computer network security. Computer network security is an early warning problem of multi index system. So, the traditional linear forecasting method cannot accurately describe the impact of each index on the evaluation results, and the accuracy of the prediction results is low. In order to improve the prediction accuracy of computer network security, this paper presents a new forecasting method for computer network security. Firstly, the evaluation index of computer network security is selected by expert system, and the weight of evaluation index is determined by the expert scoring method. Secondly, we put the index weight into the BP neural network, and use the BP neural network to learn it. Then, the parameters of BP neural network are optimized by the improved particle swarm optimization algorithm. After that, this paper uses a method based on the Fibonacci method principle to find the number of hidden layer node which has the best fitting ability. Finally, we use this algorithm to predict the network security of a certain enterprise in the next six months. The score is 0.67, 0.84, 0.72, 0.87, 0.86 and 0.91, which is close to the actual value of network security.
Zhiqiang Liu,Chaojie Chong,Zhewen Dong,Yaqi Wu,Wanying Li,Haokun Chen,Shumei Zhong,Junyang Liu,Qi Qi Pang,Jia-Le Song,Yanyuan Zhou 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10
To investigate the effect of ACP on letrozole-induced PCOS rats. All rats were divided into normal groups, PCOS group, metformin group and ACP group. The body weight (BW) was recorded every three days, and the final body weight as well as ovarian weight were recorded. Serum levels of TC, TG, HDL-C, LDL-C and E2, T, FSH and LH were measured by ELISA assay, and the LH/FSH ratio was calculated. The results showed that ACP decreased the BW and the ratio of ovarian to BW. Compared with the normal group, the serum levels of T, LH, LH/FSH, TG, TC, LDL-C increased, and the levels of FSH, E2, HDL-C decreased in PCOS group. ACP effectively improves the serum levels of FSH, LH/FSH, TG, TC, LDL-C and other related factors. The results of H&E staining of ovarian tissues showed that the ACP group showed different degrees of improvement in the reduced number of corpus luteum, thinning of granulosa cell layer, follicular capsular dilatation and follicular atresia. ACP not only reduces BW and the ratio of ovarian to BW, but also it can elevate the level of FSH and reduce LH/FSH, TG, TC and HDL-C levels. Furthermore, ACP can protect ovarian tissue to some extent.
Junyang Liu,Zixian Wang,Wanying Li,Zhewen Dong,Chaojie Chong,Yaqi Wu,Shumei Zhong,Haokun Chen,Zhiqiang Liu,Qi Qi Pang,Jia-Le Song 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10
To explore the effect of C3G on intestinal mucosal injury in 5-FU induced BALB/c mice. Mice were randomly divided into normal, model and C3G groups. After the last administration, mice were anesthetized, and calculated the thymus and spleen indexes. The ileum was used to stain with H&E observation. Serum levels of IL-1β, IL-6, IL-10 and TNF-α were determined by ELISA kits. Compared with the normal group, the model group had diarrhea, body weight and thymus and spleen index decreased significantly, intestinal villus epithelial cells fell off, crypt structure was destroyed, and inflammatory cell infiltration was observed. The body weight, thymus and spleen indexes of the treatment group and the prevention group decreased less, and the levels of TNF-α, IL-1β and IL-6 were significantly decreased, and the level of IL-10 was significantly increased relative to the model group. The intestinal villi structure was relatively complete, and a small amount of crypt structure was destroyed, with a small amount of inflammatory cell infiltration, which reduced the mucosal damage. The administration of C3G could protect intestinal mucosa from 5-FU-induced injury.
Peipei Wu,Shumei Wang,Qicai Chen,Lili Chen,Pengpeng Zhang,Juan Xiao,Xiaoxiao Chen,Meng Liu 연세대학교의과대학 2017 Yonsei medical journal Vol.58 No.1
Purpose: Elevation in serum alanine aminotransferase (ALT) levels is a biomarker for metabolic syndrome (MS); however, the relationshiphas not been fully investigated within the reference interval of ALT levels. Our objective was to explore the relationship between serum ALT levels within the reference interval and MS in Chinese adults. Materials and Methods: This cross-sectional study included 16028 adults, who attended routine health check-ups at Shengli OilfieldCentral Hospital from January 2006 to March 2012. The reference interval of serum ALT level was defined as less than 40 U/L. Logistic regression models and restricted cubic spline were used to evaluate the association of ALT with MS. Results: The prevalence of MS in the total population was 13.7% (6.4% for females and 18.4% for males). Multiple logistic regressionshowed that ALT levels were positively associated with MS after adjustment for potential confounding factors. The odds ratio of MS in the top quartile was 4.830 [95% confidence interval (CI): 2.980–7.829] in females and 3.168 (95% CI: 2.649–3.790) in males, compared with the ALT levels in the bottom quartile. The restricted cubic spline models revealed a positive non-linear dose-response relationship between ALT levels and the risk of MS in women (p for nonlinearity was 0.0327), but a positive linear dose-response relationship in men (p for nonlinearity was 0.0659). Conclusion: Serum ALT levels within the reference interval are positively associated with MS in a dose-response manner. ElevatedALT levels, even within the reference interval, may reflect early dysmetabolic changes.
Chunjian Su,Jiazhen Liu,Zexuan Zhao,Shumei Lou,Rui Wang,Longyun Yang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.12
In the present study, a five-boundary conditional distribution function of the forming angle is proposed. The stress, strain, and springback of a sheet in roll-forming process under three different angle distribution functions are studied. Furthermore, effects of forming angle increment, sheet thickness, and material yield strength on stress, strain distribution, and springback of sheet during roll forming are studied under optimized forming angle. The results demonstrate that stress, strain, and springback of each pass based on increment of forming angle under five-boundary condition during roll forming are less than those achieved by other forming angle distribution methods. The stress and strain in the bending zone increase with increase in the sheet thickness. After roll forming, the springback angle decreases with the increase of sheet thickness, increases with the increase of forming angle and material yield strength. However, springback angle can be effectively reduced by increasing the number of passes or correction rolls.
Junxian Ma,Junwei Zhang,Shumei Liu,Shan Gao,Hongli Xi,Zhongmin Wang 한국생물공학회 2024 Biotechnology and Bioprocess Engineering Vol.29 No.3
Endometrial carcinoma aff ects the uterine lining. Endogenous activity, intrinsic targeting, and ability to engage with a host defence system make exosomal vehicles (EVs) a viable cancer treatment alternative. Due to these benefi ts, mesenchymal stem cell (MSC)-derived EVs loaded with carboplatin and paclitaxel could resemble immune cells to fi ght cancer. This study found that Car-Pac@EVs downregulated endometrial cancer (EC) cells relative to normal endometrium. Car-Pac@EVs' eff ects on ECC-1 and HEC-1A EC cells at diff erent doses were examined in vitro. To detect cancer, MTT, fl ow cytometry, and transwell assays were used. Protein expression was measured by Western blotting and qRT-PCR. Car-Pac@EVs were aff ected by time- and dose-dependent EC cell proliferation reductions. In EC cells, Car-Pac@EVs triggered apoptosis. Car- Pac@EVs formulation reduced EC cell migration and invasion by reducing MMP-2 expression via Rac1/NF-κB signalling. The results indicated that Car-Pac@EVs may be an eff ective EC diagnosis and treatment target.