聚乙二醇(polyethylene glycol,PEG)是一种常用的种子引发剂,利用PEG调节种子在引发过程中的水分吸收,是提高种子引发效果的关键。为探究不同PEG引发浓度和引发时间条件下玉米种子水分吸收对引发效果的影响,该研究采用低场核磁共振(low-...聚乙二醇(polyethylene glycol,PEG)是一种常用的种子引发剂,利用PEG调节种子在引发过程中的水分吸收,是提高种子引发效果的关键。为探究不同PEG引发浓度和引发时间条件下玉米种子水分吸收对引发效果的影响,该研究采用低场核磁共振(low-field nuclear magnetic resonance,LF-NMR)技术动态监测不同浓度PEG引发下玉米种子水分相态变化情况,分析种子水分吸收和引发效果的关系,并结合机器学习算法构建玉米种子引发效果预测模型。结果表明:随着引发时间的增加(0~48 h),结合水含量呈现先增加后逐渐趋于稳定的趋势,而自由水含量则持续上升,总水含量呈现先增加后逐渐减缓的趋势。结合水含量刚进入滞缓阶段,即A21信号幅值基本不再增加,可作为判断玉米种子适宜引发时间的一个指标。此外,利用高斯过程回归(gaussian process regression,GPR)算法结合核磁参数和引发条件构建的模型,对玉米种子发芽率预测的R~2达到0.920,能够快速检测种子的引发效果。通过LF-NMR检测种子引发过程中的水分变化能够实现最优引发条件的快速筛选,该研究为玉米种子引发参数设置和引发效果快速评价提供了新思路。展开更多
A framework that integrates planning,monitoring and replanning techniques is proposed.It can devise the best solution based on the current state according to specific objectives and properly deal with the influence of...A framework that integrates planning,monitoring and replanning techniques is proposed.It can devise the best solution based on the current state according to specific objectives and properly deal with the influence of abnormity on the plan execution.The framework consists of three parts:the hierarchical task network(HTN)planner based on Monte Carlo tree search(MCTS),hybrid plan monitoring based on forward and backward and norm-based replanning method selection.The HTN planner based on MCTS selects the optimal method for HTN compound task through pre-exploration.Based on specific objectives,it can identify the best solution to the current problem.The hybrid plan monitoring has the capability to detect the influence of abnormity on the effect of an executed action and the premise of an unexecuted action,thus trigger the replanning.The norm-based replanning selection method can measure the difference between the expected state and the actual state,and then select the best replanning algorithm.The experimental results reveal that our method can effectively deal with the influence of abnormity on the implementation of the plan and achieve the target task in an optimal way.展开更多
文摘聚乙二醇(polyethylene glycol,PEG)是一种常用的种子引发剂,利用PEG调节种子在引发过程中的水分吸收,是提高种子引发效果的关键。为探究不同PEG引发浓度和引发时间条件下玉米种子水分吸收对引发效果的影响,该研究采用低场核磁共振(low-field nuclear magnetic resonance,LF-NMR)技术动态监测不同浓度PEG引发下玉米种子水分相态变化情况,分析种子水分吸收和引发效果的关系,并结合机器学习算法构建玉米种子引发效果预测模型。结果表明:随着引发时间的增加(0~48 h),结合水含量呈现先增加后逐渐趋于稳定的趋势,而自由水含量则持续上升,总水含量呈现先增加后逐渐减缓的趋势。结合水含量刚进入滞缓阶段,即A21信号幅值基本不再增加,可作为判断玉米种子适宜引发时间的一个指标。此外,利用高斯过程回归(gaussian process regression,GPR)算法结合核磁参数和引发条件构建的模型,对玉米种子发芽率预测的R~2达到0.920,能够快速检测种子的引发效果。通过LF-NMR检测种子引发过程中的水分变化能够实现最优引发条件的快速筛选,该研究为玉米种子引发参数设置和引发效果快速评价提供了新思路。
基金supported by the National Natural Science Foundation of China(61806221).
文摘A framework that integrates planning,monitoring and replanning techniques is proposed.It can devise the best solution based on the current state according to specific objectives and properly deal with the influence of abnormity on the plan execution.The framework consists of three parts:the hierarchical task network(HTN)planner based on Monte Carlo tree search(MCTS),hybrid plan monitoring based on forward and backward and norm-based replanning method selection.The HTN planner based on MCTS selects the optimal method for HTN compound task through pre-exploration.Based on specific objectives,it can identify the best solution to the current problem.The hybrid plan monitoring has the capability to detect the influence of abnormity on the effect of an executed action and the premise of an unexecuted action,thus trigger the replanning.The norm-based replanning selection method can measure the difference between the expected state and the actual state,and then select the best replanning algorithm.The experimental results reveal that our method can effectively deal with the influence of abnormity on the implementation of the plan and achieve the target task in an optimal way.
