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Changes in distribution and morphology of Tamarix ramosissima nebkhas in an oasis-desert ecotone
Chaofan Li,Fan Yang,Xinqian Zheng,Zhangyong Han,Honglin Pan,Chenglong Zhou,Chunrong Ji 한국지질과학협의회 2021 Geosciences Journal Vol.25 No.5
In the oasis-desert ecotone, nebkhas are of great importance for blocking the intrusion of shifting sand and maintaining the ecological security of oases. The morphological characteristics of nebkhas have been widely researched. However, their spatial distribution and morphological variation with the environment remain unclear. In this paper, we systematically analyzed the spatial distribution pattern, morphological changes, and potential indicative significance of Tamarix ramosissima nebkhas (that is, nebkhas formed around T. ramosissima) in a typical oasis-desert ecotone in Northwest China. Our results showed that the intensity of aeolian activities increased from the inside to the outside of the ecotone, and only T. ramosissima shrubs with high tolerance to aeolian activities could survive. Moreover, from the inside to the outside of the ecotone, the density of the T. ramosissima nebkhas decreased, their size increased, and spatial distribution shifted from aggregation to random. The T. ramosissima shrub can trap aeolian transport and protect nebkhas, leading to sand accumulation in the space between, and leeward edges of, the shrubs. Wind erosion mainly occurs to the windward side and along the sides of the nebkhas. Further, the protective effect of the shrub gradually increased with its growth in a year, resulting in the gradually changed of nebkha surface from wind erosion to sand accumulation, and the nebkha volume showed a fluctuating state of first decreasing and then increasing. This indicates that wind erosion and sand accumulation on the nebkha surface were closely related to the growth cycle of the shrub. In addition, nebkhas exhibited a spatial pattern of growth, inside of the ecotone, to degradation, outside of the ecotone. These results indicate that we should focus on the outside of the ecotone to ensure the ecological stability of oases.
( Weiwei Lin ),( Chaofan Yang ),( Zeqing Zhang ),( Xingsi Xue ),( Reiko Haga ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.12
Because the traditional network information security vulnerability risk assessment method does not set the weight, it is easy for security personnel to fail to evaluate the value of information security vulnerability risk according to the calculation value of network centrality, resulting in poor evaluation effect. Therefore, based on the network security data element feature system, this study designed a quantitative assessment method of network information security vulnerability detection risk under single transmission state. In the case of single transmission state, the multi-dimensional analysis of network information security vulnerability is carried out by using the analysis model. On this basis, the weight is set, and the intrinsic attribute value of information security vulnerability is quantified by using the qualitative method. In order to comprehensively evaluate information security vulnerability, the efficacy coefficient method is used to transform information security vulnerability associated risk, and the information security vulnerability risk value is obtained, so as to realize the quantitative evaluation of network information security vulnerability detection under single transmission state. The calculated values of network centrality of the traditional method and the proposed method are tested respectively, and the evaluation of the two methods is evaluated according to the calculated results. The experimental results show that the proposed method can be used to calculate the network centrality value in the complex information security vulnerability space network, and the output evaluation result has a high signal-to-noise ratio, and the evaluation effect is obviously better than the traditional method.
The Analysis and Optimization of Personalized Customization Model of Crowdsourcing Based on GSPN
Zhang Yaoqi,Li Yang,Wang Lubin,Wang Chaofan,Tu Yan 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.6
The development and customization of new products in crowdsourcing is an important crowdsourcing theory application issue. But as a new business model, there are usually low efficiency, poor effect in the process of enterprises, and in practical application and the combination of businesses. This paper proposes the generalized stochastic Petri net (GSPN) theory in the modeling and performance analysis in crowdsourcing business model, and assesses effectively about the overall model’s time performance and operation efficiency, which has been verified and optimized by 24% in an example. This paper starts from crowdsourcing contest business model to optimize the process and the frame of crowdsourcing through quantitative analysis results, so as to provide a reference for the decision-making party of the business model.
Qixiang Yan,Junchen Zhang,Wenyu Chen,Chaofan Yao,Wenbo Yang,Hang Chen,Xirui Liu 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.10
At present, there are many studies on the dynamic response of overlapped tunnels, but most of them are through numerical simulation. Very few has been conducted by the experimental model research and frequency domain analysis. Combined with the model test and the numerical simulation, the dynamic response of the tunnel lining structure under the action of different train speeds and different tunnel clear distances are investigated, which can remedy the deficiencies in the relevant fields and verify the accuracy of numerical simulation results. The results show that as the train speed increases, the amplitude of the energy spectra of the vibration loads decrease significantly. The tunnel response at the sidewalls is smaller than that at the tunnel crown and at the invert in the lower tunnel. As the net distance increases, the amplitudes of the acceleration frequency spectrum and the energy spectra of the lower tunnel decrease, but with a diminishing rate. The dynamic coefficients of circumferential of the upper tunnel under a train load are larger than those in the longitudinal direction in the invert.
Yi Xin,Zhu Anmin,Li Chaofan,Yang Simon X 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.6
For multi-robot systems (MRSs), conventional path planning with single resolution mapping is challenging to balance information and computation. Regarding path planning of MRS, the previous research lacked systematic definition, quantitative evaluation, and the consideration of complex environmental factors. In this paper, a new systematic formulation is proposed to redefine the multi-robot path planning problem in complex environments, and evaluate the related solutions of this problem. To solve this problem, a novel bio-inspired approach based on reaction-diffusion system is given to deal with the path planning of MRS in complex environments, such as electromagnetic interference, ocean currents, and so on. Furthermore, a multi-layer neural dynamic network is proposed to describe environments with multiple resolutions, which can improve time performance while ensuring the integrity of environmental information. Comparative experimental results indicate that the proposed approach shows the excellent path planning performance of MRS in complex environments. The stability of the proposed method is determined by the mathematical basis.