Results 51 to 60 of about 10,650 (169)
为有效评估大电流开关柜梅花触头接触状态,避免发生严重热故障,需提高梅花触头热缺陷评估的灵敏度和准确性。因此,设计了一种长期评估梅花触头接触状态的算法用于热缺陷评估。首先,基于人工神经网络改进了传统的相对温差法,并根据正态分布统计修正了相对温差的计算结果。其次,基于改进的相对温差法设计了一种热缺陷评估算法。算法中相对温差的计算结果被划分为8个状态级别分别表征不同程度的状态。对存在异常的状态设计了"N+3"判断算法和"24 h密集评估"算法 ...
李江涛, 孙义, 李擎宇
doaj
Cluster-based route convergence method based on network state graph model [PDF]
To address the challenges of time-varying node connectivity and frequent link failures in tactical communication networks under conditions of strong adversarial and high-mobility operations, which result in frequent route convergence and short effective ...
LU Huangjie +3 more
core +1 more source
Longitudinal Trends, Inequalities, and Progress Towards Achieving Food Security Across Bangladesh
ABSTRACT Food insecurity remains a persistent global challenge, particularly in Global South countries such as Bangladesh. Despite being a long‐standing policy priority, no study has explored the longitudinal trends and inequalities of food security across Bangladesh.
Abdul Mohammed Mokter Hossain +2 more
wiley +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract The biotic resistance hypothesis (BRH) of Elton posits that diverse communities are more resistant to biological invasions. While the effects of climatic stresses and human disturbances on community invasibility have been extensively studied individually, their combined
Kai Shi, Misbah Naz, Chi Zhang, Hua Shao
wiley +1 more source
基于Relief特征量优化及SOM网络的断路器操作机构状态评估
为提高断路器操作机构状态评估的效率及准确性,文中提出了采用Relief优化方法对分合闸线圈电流特征向量进行优化及SOM网络对线圈电流样本进行分类的高压断路器操作机构状态评估方法。仿真研究结果表明:基于Relief的分合闸线圈电流特征向量优化方法和SOM网络分类方法的操作机构状态评估能够实现操作机构状态的准确评估,同时采用优化后的电流特征向量数据进行状态评估减小了运算量和缩短了运算时间,提高了断路器机构状态评估的效率。
张浩 +7 more
doaj
A global indicator of species recovery
Abstract Monitoring progress toward meeting global biodiversity goals involves several indicators, including, at the species level, the International Union for Conservation of Nature (IUCN) Red List Index (RLI) and the Living Planet Index (LPI). However, at present, there is no indicator specifically for tracking species recovery, despite this being ...
H. Resit Akçakaya +4 more
wiley +1 more source
针对变压器状态评价存在大量模糊、不确定甚至是冲突信息,同时现有的评价方法预设传统阈值过于主观,且权重确立相对简单有失偏颇,导致评估结果存在偏差的问题。提出了基于博弈论组合赋权的变压器差异化状态评估方法:首先利用多维度特征参量的全量历史数据与Weibull模型计算特征参量的状态离散区间和差异化阈值,然后建立基于差异化阈值的特征参量状态隶属函数,获得各指标不同状态的隶属度,最后基于层次分析法和熵值法的博弈论加权方法来计算设备处于不同状态的置信概率,实现了状态量权重确定与设备的多参量状态评估 ...
张冀, 张亚静, 仇向东
doaj
The leaf functional traits of angiosperms and gymnosperms in mountain ecosystems significantly influence phyllosphere fungal diversity. These traits are critical for understanding fungal stress resistance and elevational adaptation, which aids in predicting plant responses to climate change.
Xiaocheng Yu +7 more
wiley +1 more source
电力变压器整体绝缘状态评估过程中的主、客观因素并存,致使评价结果具有较大的随机性和不确定性。为此,笔者提出一种基于最优变权正态云模型的变压器绝缘状态评估策略。首先确定了绝缘状态评估指标体系,并基于复合二元语义实现了主观评估标度的定量转换,通过最优变权确定了各状态量的权重,在合理确定云模型数字特征的基础上,采用正态云模型描述绝缘状态评估中的模糊性与随机性,通过云运算确定绝缘状态及故障类型。实例分析验证了该方法的可行性,为针对性的变压器绝缘状态在线检修工作提供了一种新思路。
郑理科 +4 more
doaj
CMAC-based Sarsa(λ) Learning Algorithm for RoboCup-soccer Goalkeeper [PDF]
针对rObOCuP仿真组足球比赛场上状态复杂多变、同时供决策的信息大多为连续变量、智能体利用现有信息通常无法判断当前状态下最优动作的问题,以守门员为例,首先利用CMAC神经网络对连续状态空间泛化,然后在泛化后的状态上,采用SArSA(λ)学习算法获取守门员的最优策略.通过在rObOCuP仿真平台上进行仿真,实验结果表明,采用基于CMAC的SArSA(λ)学习算法的守门员,经过一定时间的学习后,防守时间显著增长,防守效果明显优于其他算法,验证了本文所提方案的有效性.RoboCup simulated ...
刘云龙, 吉国力
core

