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- 저자 : Wenhua Lin (검색결과 2 건)
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Risk Identification Method for Cloud Computing Safety based on LSA-GCC and LSA-SAM
Fan Lin,Wenhua Zeng,Yue Wang 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.2
This paper proposes a generalized cluster risk evaluation model by applying a data mining method to the cloud computing risk evaluation. The model maps data sets into a semantic space via singular value decomposition (SVD), uses a clustering algorithm to classify them and to extract the prototype vector of a particular category from clustering results, and assigns a definite weight to each category so as to set up an initial prototype vector model. The model is taken as the basis for risk evaluation of information system. After the data to be evaluated were mapped to the same semantic space, they are calculated with the prototype vector of each category, so as to obtain the similarity of the category, and the cumulative sum of the similarity with the weight of the corresponding category comes out. Finally, a mean value is calculated to obtain the risk value of the data to be evaluated, namely, the risk value of the occasion when the data is obtained. In this paper, the safety risk information is obtained from the operating system log and Web application server log of a virtual host; the Latent Semantic Analysis-based Generalized Cluster Classifier (LSA-GCC) is adopted and the MapReduce-based LSA-GCC and LSA-SAM parallel acceleration experiment is conducted. The experimental results show that in a cloud computing environment of large-scale parallel processing, the method used in this paper can identify the log events of a cloud computing system and conduct risk prompt rapidly.
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Ge Tian,Li Xiong,Wenhua Lin,Jinghao Han,Xiang-Yan Chen,Thomas Wai Hong Leung,Yannie Oi Yan Soo,Lawrence Ka Sing Wong 대한신경과학회 2016 Journal of Clinical Neurology Vol.12 No.3
Background and PurposezzExternal counterpulsation (ECP) is a noninvasive method used to enhance cerebral perfusion by elevating the blood pressure in ischemic stroke. However, the response of the beat-to-beat blood pressure variability (BPV) in ischemic stroke patients during ECP remains unknown. MethodszzWe enrolled recent ischemic stroke patients and healthy controls. Changes in the blood fow velocities in bilateral middle cerebral arteries and the continuous beat-to-beat blood pressure before, during, and afer ECP were monitored. Power spectral analysis revealed that the BPV included oscillations at very low frequency (VLF; <0.04 Hz), low frequency (LF; 0.04– 0.15 Hz), and high frequency (HF; 0.15–0.40 Hz), and the total power spectral density (TP; <0.40 Hz) and LF/HF ratio were calculated. ResultszzWe found that ECP signifcantly increased the systolic and diastolic blood pressures in both stroke patients and controls. ECP decreased markedly the systolic and diastolic BPVs at VLF and LF and the TP, and the diastolic BPV at HF when compared with baseline. Te decreases in diastolic and systolic BPV reached 37.56% and 23.20%, respectively, at VLF, 21.15% and 12.19% at LF, 8.76% and 16.59% at HF, and 31.92% and 23.62% for the total TP in stroke patients, which did not difer from those in healthy controls. Te change in fow velocity on the contralateral side was positively correlated with the total TP systolic BPV change induced by ECP (r=0.312, p=0.035). ConclusionszzECP reduces the beat-to-beat BPV when increasing the blood pressure and cerebral blood fow velocity in ischemic stroke patients. ECP might be able to improve the clinical outcome by decreasing the beat-to-beat BPV in stroke patients, and this should be explored further in future studies.
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