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A Density-based Binary SVM Algorithm in the Cloud Security
Mingyuan Yu,Shuhang Huang,Qing Yu,Yan Wang,Jiaquan Gao 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.7
In recent years, cloud computing is becoming popular in the field of information, however, the development of cloud computing have to face the problem of cloud security. Intrusion Deletion System (IDS) is one of the possible solutions to the problem of cloud security, but the correct rate of general application of the IDS is not very satisfactory, for this purpose we propose a density-based binary Support Vector Machine (SVM) method (D-BSVM). Its main idea is based on the density of each class in the data set, and gets a binary sequence of training, according to this sequence obtained binary SVM training model to predict the behavior of the system. Further, the method for calculating the density is the paralleled, thereby improving efficiency of overall system. Finally, we present experimental results, and by contrast our approach can improve the accuracy and detection rate of IDS.
Ruizhen Gao,Haoqian Wang,Mingyuan Yu,Zongxiao Yue 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6
In the existing works, as the number and the dimension of unknown system parameters increases, it normally requires more and more adaptive laws to estimate them, which may dramatically consume limitedly available computational resource and seriously increase large amount of computational time. In this paper, a novel approximation-free global adaptive backstepping control scheme is proposed for nonlinear systems. By estimating the maximum value of the norm (or absolute value) of those unknown parameters instead of unknown parameters themselves, the developed control shows that only one scalar parameter is needed to be updated online and therefore, the computational burden can be greatly reduced. Furthermore, the result is also extended to multi-input multi-output (MIMO) strict-feedback nonlinear systems. A simulation example is presented to demonstrate the efficacy of the proposed schemes.
Jingwei Pan,Mingyuan Yuan,Mengmeng Yu,Yajie Gao,Chengxing Shen,Yining Wang,Bin Lu,Jiayin Zhang 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.5
Objective: To investigate the association of myocardial blood flow (MBF) quantified by dynamic computed tomography (CT) myocardial perfusion imaging (MPI) with troponin level and left ventricle (LV) function in patients with ST-segment elevated myocardial infarction (STEMI). Materials and Methods: Thirty-five STEMI patients who successfully had undergone reperfusion treatment within 1 week of their infarction were consecutively enrolled. All patients were referred for dynamic CT-MPI. Serial high-sensitivity troponin T (hs-TnT) levels and left ventricular ejection fraction (LVEF) measured by echocardiography were recorded. Twenty-six patients with 427 segments were included for analysis. Various quantitative parameters derived from dynamic CT-MPI were analyzed to determine if there was a correlation between hs-TnT levels and LVEF on admission and again at the 6-month mark. Results: The mean radiation dose for dynamic CT-MPI was 3.2 ± 1.1 mSv. Infarcted territories had significantly lower MBF (30.5 ± 7.4 mL/min/100 mL versus 73.4 ± 8.1 mL/min/100 mL, p < 0.001) and myocardial blood volume (MBV) (2.8 ± 0.9 mL/100 mL versus 4.2 ± 1.1 mL/100 mL, p = 0.044) compared with those of reference territories. MBF showed the best correlation with the level of peak hs-TnT (r = -0.682, p < 0.001), and MBV showed a moderate correlation with the level of peak hs-TnT (r = -0.437, p = 0.026); however, the other parameters did not show any significant correlation with hs-TnT levels. As for the association with LV function, only MBF was significantly correlated with LVEF at the time of admission (r = 0.469, p = 0.016) and at 6 months (r = 0.585, p = 0.001). Conclusion: MBF quantified by dynamic CT-MPI is significantly inversely correlated with the level of peak hs-TnT. In addition, patients with lower MBF tended to have impaired LV function at the time of their admission and at 6 months.
Huang Xin,Lv Danju,Chen Xu,Xi Rui,Zi Jiali,Gao Mingyuan,Zhang Yan 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1
An orthogonal double-chain differential evolution (ODCDE) algorithm is proposed to optimize the problem’s parameters for workpiece processing. ODCDE improves the differential evolution structure by changing the parcels into the orthogonal chains in the adaptive search range of the solution, which can avoid falling into local optimum, improve the solution precision, and speed up the convergence speed. The superiority of the proposed algorithm was proved by the function performance test on three sets of bench functions, which reached the first place in the set of 23 functions with other 11 optimal algorithms, ranked the second in the CEC2017 functions with other more recent 5 algorithms, and ranked the seventh in the CEC2011 functions with other 11 algorithms including AMO, SFS, and GSK algorithms. Finally, two kinds of optimal workpiece processing, the tubular column design and the multipass milling, are studied, and the results show that our algorithm performs better than other methods.