Decoy state method quantum key distribution (QKD) is one of the promising practical solutions for BB84QKD with coherent light pulses.The number of data-set size in practical QKD protocol is always finite,which will ca...Decoy state method quantum key distribution (QKD) is one of the promising practical solutions for BB84QKD with coherent light pulses.The number of data-set size in practical QKD protocol is always finite,which will causestatistical fluctuations.In this paper,we apply absolutely statistical fluctuation to amend the yield and error rate of thequantum state.The relationship between exchanged number of quantum signals and key generation rate is analyzed inour simulation,which offers a useful reference for experiment.展开更多
【目的】开展土壤健康评价,不仅可以了解甜瓜田土壤健康状况,还可以精准识别土壤障碍因子,为甜瓜田健康土壤培育提供理论支撑。本研究通过建立土壤健康评价数据库并构建最小数据集(minimum data set,MDS),系统评价吐鲁番市甜瓜田的土壤...【目的】开展土壤健康评价,不仅可以了解甜瓜田土壤健康状况,还可以精准识别土壤障碍因子,为甜瓜田健康土壤培育提供理论支撑。本研究通过建立土壤健康评价数据库并构建最小数据集(minimum data set,MDS),系统评价吐鲁番市甜瓜田的土壤健康状况。【方法】在新疆吐鲁番市吐峪沟乡、亚尔镇、三堡乡的甜瓜田中,选择种植年限平均为5年的72个甜瓜地块,采集0—20 cm土层土壤样品,测定了28项土壤物理、化学和生物学指标,建立土壤健康评价数据库。利用主成分分析构建最小数据集,运用线性和非线性评分函数进行土壤健康评价,并通过全数据集(total data set,TDS)对最小数据集的评价结果进行验证。【结果】用主成分分析法筛选出容重、电导率、有效磷、有机碳、交换性钙、土壤呼吸和β-木糖苷酶7个指标,建立了土壤健康评价最小数据集。采用线性评分函数法,基于全数据集和最小数据集计算的土壤健康指数分别为0.44和0.49,变异系数分别为22.5%和18.7%;采用非线性评分函数法,得到的土壤健康指数平均值分别为0.46和0.47,变异系数分别为25.8%和24.3%。基于全数据集和最小数据集计算的土壤健康指数间均呈显著正相关(P<0.01),斜率接近0.9。整体上,吐峪沟乡和亚尔镇甜瓜田土壤健康指数均高于三堡乡。【结论】最小数据集可以代替全数据集用于甜瓜田土壤健康评价,非线性评分函数计算的土壤健康指数变异系数大,说明非线性评分函数更加敏感,建议选择非线性评分函数用于甜瓜田土壤健康评价。新疆吐鲁番市甜瓜田土壤pH为碱性,土壤养分含量处于丰富水平,但有机碳和活性碳含量较低。经最小数据集评价,吐鲁番甜瓜田土壤健康指数在0.5以下,处于中等水平。展开更多
In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical faults.However,at present,a core obstacle that prevents the di...In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical faults.However,at present,a core obstacle that prevents the direct comparison of such classification techniques is the lack of a standard database that can be used as a benchmark.In view of this,we offer here a public experimental data-set that has beendesigned specifically for the comparison of synchronous motor electrical fault classifiers.The data-set comprises five types of motor electrical faults:open phase between inverter and motor;short circuit/leakage current between two phases;short circuit/leakage current in phase-to-neutral;rotor excitation voltage disconnection;and variation of rotor excitation current.In addition,each fault has been recorded as a four-dimensional signal:three phase voltages;three phase currents;motor speed;and motor current.The package includes two deep-learning reference classifiers that are based on a convolutional neural network(CNN)and long short term memory(LSTM).Due to the good performance of these classifiers,we suggest that they can be used by the community as benchmarks for the development of new and better motor electrical fault classification algorithms.The database and the reference classifiers are examined and insights regarding different combinations of features and lengths of recording points are provided.The developed code is available online,and is free to use.展开更多
基金Supported by the National Basic Research Program (973) of China under Grant No.2010CB923200Chinese Universities Scientific Fund BUPT2009RC0709
文摘Decoy state method quantum key distribution (QKD) is one of the promising practical solutions for BB84QKD with coherent light pulses.The number of data-set size in practical QKD protocol is always finite,which will causestatistical fluctuations.In this paper,we apply absolutely statistical fluctuation to amend the yield and error rate of thequantum state.The relationship between exchanged number of quantum signals and key generation rate is analyzed inour simulation,which offers a useful reference for experiment.
文摘【目的】开展土壤健康评价,不仅可以了解甜瓜田土壤健康状况,还可以精准识别土壤障碍因子,为甜瓜田健康土壤培育提供理论支撑。本研究通过建立土壤健康评价数据库并构建最小数据集(minimum data set,MDS),系统评价吐鲁番市甜瓜田的土壤健康状况。【方法】在新疆吐鲁番市吐峪沟乡、亚尔镇、三堡乡的甜瓜田中,选择种植年限平均为5年的72个甜瓜地块,采集0—20 cm土层土壤样品,测定了28项土壤物理、化学和生物学指标,建立土壤健康评价数据库。利用主成分分析构建最小数据集,运用线性和非线性评分函数进行土壤健康评价,并通过全数据集(total data set,TDS)对最小数据集的评价结果进行验证。【结果】用主成分分析法筛选出容重、电导率、有效磷、有机碳、交换性钙、土壤呼吸和β-木糖苷酶7个指标,建立了土壤健康评价最小数据集。采用线性评分函数法,基于全数据集和最小数据集计算的土壤健康指数分别为0.44和0.49,变异系数分别为22.5%和18.7%;采用非线性评分函数法,得到的土壤健康指数平均值分别为0.46和0.47,变异系数分别为25.8%和24.3%。基于全数据集和最小数据集计算的土壤健康指数间均呈显著正相关(P<0.01),斜率接近0.9。整体上,吐峪沟乡和亚尔镇甜瓜田土壤健康指数均高于三堡乡。【结论】最小数据集可以代替全数据集用于甜瓜田土壤健康评价,非线性评分函数计算的土壤健康指数变异系数大,说明非线性评分函数更加敏感,建议选择非线性评分函数用于甜瓜田土壤健康评价。新疆吐鲁番市甜瓜田土壤pH为碱性,土壤养分含量处于丰富水平,但有机碳和活性碳含量较低。经最小数据集评价,吐鲁番甜瓜田土壤健康指数在0.5以下,处于中等水平。
基金This work was supported by the Natural Science Foundation of Jilin Province,China(20210101390JC).
文摘In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical faults.However,at present,a core obstacle that prevents the direct comparison of such classification techniques is the lack of a standard database that can be used as a benchmark.In view of this,we offer here a public experimental data-set that has beendesigned specifically for the comparison of synchronous motor electrical fault classifiers.The data-set comprises five types of motor electrical faults:open phase between inverter and motor;short circuit/leakage current between two phases;short circuit/leakage current in phase-to-neutral;rotor excitation voltage disconnection;and variation of rotor excitation current.In addition,each fault has been recorded as a four-dimensional signal:three phase voltages;three phase currents;motor speed;and motor current.The package includes two deep-learning reference classifiers that are based on a convolutional neural network(CNN)and long short term memory(LSTM).Due to the good performance of these classifiers,we suggest that they can be used by the community as benchmarks for the development of new and better motor electrical fault classification algorithms.The database and the reference classifiers are examined and insights regarding different combinations of features and lengths of recording points are provided.The developed code is available online,and is free to use.
