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Cubic normal distribution and its significance in structural reliability
Yan-Gang Zhao,Zhao-Hui Lu 국제구조공학회 2008 Structural Engineering and Mechanics, An Int'l Jou Vol.28 No.3
Information on the distribution of the basic random variable is essential for the accurate analysis of structural reliability. The usual method for determining the distributions is to fit a candidate distribution to the histogram of available statistical data of the variable and perform approximate goodness-of-fit tests. Generally, such candidate distribution would have parameters that may be evaluated from the statistical moments of the statistical data. In the present paper, a cubic normal distribution, whose parameters are determined using the first four moments of available sample data, is investigated. A parameter table based on the first four moments, which simplifies parameter estimation, is given. The simplicity, generality, flexibility and advantages of this distribution in statistical data analysis and its significance in structural reliability evaluation are discussed. Numerical examples are presented to demonstrate these advantages.
Cubic normal distribution and its significance in structural reliability
Zhao, Yan-Gang,Lu, Zhao-Hui Techno-Press 2008 Structural Engineering and Mechanics, An Int'l Jou Vol.28 No.3
Information on the distribution of the basic random variable is essential for the accurate analysis of structural reliability. The usual method for determining the distributions is to fit a candidate distribution to the histogram of available statistical data of the variable and perform approximate goodness-of-fit tests. Generally, such candidate distribution would have parameters that may be evaluated from the statistical moments of the statistical data. In the present paper, a cubic normal distribution, whose parameters are determined using the first four moments of available sample data, is investigated. A parameter table based on the first four moments, which simplifies parameter estimation, is given. The simplicity, generality, flexibility and advantages of this distribution in statistical data analysis and its significance in structural reliability evaluation are discussed. Numerical examples are presented to demonstrate these advantages.
Hybrid Patterns Recognition of Control Chart Based on WA-PCA-PSO-SVM
Liu Yan-zhong,Zhang Hong-lie,Liu Yan-ju,Jiang Jin-gang 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.10
Based on the analysis of the defect of traditional model, this paper proposes a new control chart pattern recognition model, which includes Wavelet Analysis (WA), Principal Component Analysis (PCA), Particle Swarm Optimization (PSO) and Support Vector Machine (SVM). WA is good to eliminate noise control chart anomaly pattern recognition of the adverse effect. PCA eliminates the redundant information of data between SVM and reduces the input dimension and computational complexity. PSO algorithm optimizes the parameters of SVM and the establishment of the optimal control chart anomaly pattern classifier can solve the problem optimal parameters of SVM. The simulation results show that the model is feasible, the results are reliable. This algorithm improves the control chart abnormal state average recognition accuracy and be used in the machining process real-time monitoring.
Ifosfamide-containing Regimens for Treating Patients with Osteosarcomas
Li, Yan-Yan,Jiang, Xiao-Ming,Dong, Yi-Guo,Xu, Gang,Ma, Yu-Bo Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22
Background: This systemic analysis was conducted to evaluate the efficacy and safety of an ifosfamide-containing regimen in treating patients with osteosarcoma. Methods: Clinical studies evaluating the efficacy and safety of Ifosfamide-containing regimen on response and safety for patients with osteosarcoma were identified by using a predefined search strategy. Pooled response rate (RR) of treatment were calculated. Results: When ifosfamide-containing regimens were evaluated, 4 clinical studies which including 134 patients with osteosarcoma were considered eligible for inclusion. Systemic analysis suggested that, in all patients, pooled RR was 44.8% (60/134) in ifosfamide-containing regimens. Major adverse effects were neutropenia, leukopenia, and fatigue inIfosfamide-containing regimens; No treatment related death occurred in cantharidin combined regimens. Conclusion: This systemic analysis suggests that ifosfamide-containing regimens are associated with good response rate and acceptable toxicity in treating patients with osteosarcoma, but this result should be confirmed by randomized clinical trials.
Liu Yan-ju,Jiang Jin-gang,Miao Feng-juan,Tao Bai-rui,Zhang Hong-lie 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
This paper presents a fuzzy normal estimate for mass point clouds of irregular models in reconstruction. The irregular model is complex object that some part is smooth and some parts are irregular including sharp features. Therefore, we put kNN and curvature of mass point clouds to fuzzy inference system to divide the kind of point clouds and the output of FIS can determine which part of tooth point clouds belong to. For different kinds point clouds, corresponding algorithm is given. Point clouds in the smooth area are estimated normal by PCA directly and ones in other regions of thin or sharp area are estimated by checker and attach points. This method is simpler than those complex methods used on the whole point clouds directly. The experiment results show that much time is saved and surface reconstruction is very fine than PCA and WLOP.
Network Routing Optimization based on Mixed Particle Method Research
Sheng Yan Gang,Tong Fei 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.4
Particle swarm optimization (POS) algorithm is a reference to the mechanism of the biological predation community of a random search algorithm, the validity of its search, got extensive application in many ways.But the particle swarm algorithm has poor local search ability and easy early faults.So on the basis of it, combined with the genetic algorithm is proposed based on a mixed particle swarm algorithm.The new algorithm USES the similar to the mutation and crossover operation of genetic algorithm, speed and position update formula easier to express.To primary respectively after the particle group division evolution, global optimization to the formation of new species.Applied in the IP network quality of service routing optimization mixed POS algorithm, both meet the requirement of quality of service and will choose the path cost minimum as the optimization index.Through a series of simulation experiments of network routing, the improved algorithm has good effect.
장연연(Yan yan Zhang),주환보(Huan bao Zhou),판강지(Gang zhi Fan) 건국대학교 부동산도시연구원 2016 부동산 도시연구 Vol.9 No.1
해안가 주변의 주택은 다른 지역에 비해 더 높은 가격을 형성함에도 불구하고 사람들은 투자나 거주의 목적으로 해안가 주변의 주택을 선호한다. 따라서 본 연구에서는 중국 칭다오시의 부동산 거래 데이터를 기반으로 주택 가격 결정모형을 이용하여 바다 조망권이 부동산 가격에 미치는 영향에 대하여 연구하였다. 바다 조망권은 세 가지 측면에서 측정한다. 주택이 바다를 바라보는 방향, 내부에서 바다를 바라볼 수 있는지, 주택 자체가 바다근처에 위치하고 있는지를 고려한다. 본 연구의 결과에 따르면 바다 전망은 칭다오시 주택 가격에 통계적으로 유의한 정(+)의 영향을 미친다. 우리의 연구 결과는 칭다오시 정부가 도시의 부동산 산업의 건전한 발전을 위한 주택 정책을 만들 수 있도록 도움이 될 것이다. 또한 이러한 연구 결과는 중국에 있는 항구 도시에서 주택 가격 결정을 조명하는데 도움이 된다. Houses near an ocean usually have higher prices than those that are not. This paper attempts to further investigate this phenomenon by focusing on the impact of ocean-front view on housing price using the housing transaction data collected from Qingdao s real estate market through the hedonic pricing model. We measure the features of ocean-front view from three dimensions, namely orientation to ocean, ocean view visibility and proximity to ocean. Our regression results clearly show that ocean-front view has a significant positive impact on the prices of residential properties, implying the importance of ocean-front view in the determination of housing prices.