委托权益证明(Delegate Proof of Stake, DPoS)通过投票选择见证人节点出块,实现了交易的快速认证,但其仍存在选择得到的见证人节点无法满足多数投票节点意愿、投票结果易被恶意节点操纵的问题,影响了DPoS的公平性与安全性.为此,本文将...委托权益证明(Delegate Proof of Stake, DPoS)通过投票选择见证人节点出块,实现了交易的快速认证,但其仍存在选择得到的见证人节点无法满足多数投票节点意愿、投票结果易被恶意节点操纵的问题,影响了DPoS的公平性与安全性.为此,本文将投票节点偏好的一致性作为选择见证人节点的指标,提出一种基于Kendall tau距离的DPoS记账权分配方法-DPoSKD (DPoS with Kendall tau distance).方法首先考虑到投票节点偏好不完整的问题,通过扩展Kendall tau距离定义以衡量不完整偏好间的一致性程度,然后将记账权分配过程建模为一个寻找与所有投票节点偏好一致性最大化的Top-k候选节点排列最优化问题,最后通过遗传算法来求解该优化问题,得到的Top-k候选节点作为见证人节点负责出块.实验结果表明通过该方法选择的见证人节点符合多数投票节点的意愿,提高了DPoS的公平性.同时,该方法具备更强的抗操纵性能,提升了DPoS的安全性.展开更多
Groundwater accounts for about half of the water use for irrigation in India.The fluctuation pattern of the groundwater level is examined by observing rainfall replenishment and monitoring wells.The southern part of R...Groundwater accounts for about half of the water use for irrigation in India.The fluctuation pattern of the groundwater level is examined by observing rainfall replenishment and monitoring wells.The southern part of Rajasthan has experienced abrupt changes in rainfall and has been highly dependent on groundwater over decades.This study presents the impact of over-dependence on groundwater usage for irrigation and other purposes,spatially and temporally.Hence,the objective of this study is to examine the groundwater level trend by using statistical analysis and geospatial technique.Rainfall factor was also studied in groundwater level fluctuation during 2009-2019.To analyze the influence of each well during recharge or withdrawal of groundwater,thiessien polygonswere generated from them.In the Jakham River basin,75 wells have been identified for water level trend study using the Mann-Kendall statistical test.The statistics of trend analysis show that 15%wells are experiencing water level decline in pre-monsoon,while very low percentage of wells have such trend during post-monsoon season.The average rate of water level decline is 0.245 m/a in pre-monsoon and 0.05 m/a in post-monsoon.The aquifer recharge potential is also decreasing by year.it is expected that such type of studies will help the policy makers to adopt advanced management practices to ensure sustainable groundwater resource management.展开更多
In this paper, we consider the statistical analysis for the dependent competing risks model in theconstant stress accelerated life testing (CSALT) with Type-II progressive censoring. It is focusedon two competing risk...In this paper, we consider the statistical analysis for the dependent competing risks model in theconstant stress accelerated life testing (CSALT) with Type-II progressive censoring. It is focusedon two competing risks from Lomax distribution. The maximum likelihood estimators of theunknown parameters, the acceleration coefficients and the reliability of unit are obtained by usingthe Bivariate Pareto Copula function and the measure of dependence known as Kendall’s tau.In addition, the 95% confidence intervals as well as the coverage percentages are obtained byusing Bootstrap-p and Bootstrap-t method. Then, a simulation study is carried out by the MonteCarlo method for different measures of Kendall’s tau and different testing schemes. Finally, a realcompeting risks data is analysed for illustrative purposes. The results indicate that using copulafunction to deal with the dependent competing risks problems is effective and feasible.展开更多
文摘委托权益证明(Delegate Proof of Stake, DPoS)通过投票选择见证人节点出块,实现了交易的快速认证,但其仍存在选择得到的见证人节点无法满足多数投票节点意愿、投票结果易被恶意节点操纵的问题,影响了DPoS的公平性与安全性.为此,本文将投票节点偏好的一致性作为选择见证人节点的指标,提出一种基于Kendall tau距离的DPoS记账权分配方法-DPoSKD (DPoS with Kendall tau distance).方法首先考虑到投票节点偏好不完整的问题,通过扩展Kendall tau距离定义以衡量不完整偏好间的一致性程度,然后将记账权分配过程建模为一个寻找与所有投票节点偏好一致性最大化的Top-k候选节点排列最优化问题,最后通过遗传算法来求解该优化问题,得到的Top-k候选节点作为见证人节点负责出块.实验结果表明通过该方法选择的见证人节点符合多数投票节点的意愿,提高了DPoS的公平性.同时,该方法具备更强的抗操纵性能,提升了DPoS的安全性.
文摘Groundwater accounts for about half of the water use for irrigation in India.The fluctuation pattern of the groundwater level is examined by observing rainfall replenishment and monitoring wells.The southern part of Rajasthan has experienced abrupt changes in rainfall and has been highly dependent on groundwater over decades.This study presents the impact of over-dependence on groundwater usage for irrigation and other purposes,spatially and temporally.Hence,the objective of this study is to examine the groundwater level trend by using statistical analysis and geospatial technique.Rainfall factor was also studied in groundwater level fluctuation during 2009-2019.To analyze the influence of each well during recharge or withdrawal of groundwater,thiessien polygonswere generated from them.In the Jakham River basin,75 wells have been identified for water level trend study using the Mann-Kendall statistical test.The statistics of trend analysis show that 15%wells are experiencing water level decline in pre-monsoon,while very low percentage of wells have such trend during post-monsoon season.The average rate of water level decline is 0.245 m/a in pre-monsoon and 0.05 m/a in post-monsoon.The aquifer recharge potential is also decreasing by year.it is expected that such type of studies will help the policy makers to adopt advanced management practices to ensure sustainable groundwater resource management.
基金This work is supported by the National Natural Science Foundation of China[grant number 71571144],[grant number 71401134],[grant number 71171164],[grant number 11701406]Natural Science Basic Research Program of Shaanxi Province[grant number 2015JM1003]Program of International Cooperation and Exchanges in Science and Technology Funded by Shaanxi Province[grant number 2016KW-033].
文摘In this paper, we consider the statistical analysis for the dependent competing risks model in theconstant stress accelerated life testing (CSALT) with Type-II progressive censoring. It is focusedon two competing risks from Lomax distribution. The maximum likelihood estimators of theunknown parameters, the acceleration coefficients and the reliability of unit are obtained by usingthe Bivariate Pareto Copula function and the measure of dependence known as Kendall’s tau.In addition, the 95% confidence intervals as well as the coverage percentages are obtained byusing Bootstrap-p and Bootstrap-t method. Then, a simulation study is carried out by the MonteCarlo method for different measures of Kendall’s tau and different testing schemes. Finally, a realcompeting risks data is analysed for illustrative purposes. The results indicate that using copulafunction to deal with the dependent competing risks problems is effective and feasible.
