Warp knitting technology gets rapid development at present and becomes one of the most important parts of the textiles.But it is less known how the parameters of warp knitting technology affect the mechanical properti...Warp knitting technology gets rapid development at present and becomes one of the most important parts of the textiles.But it is less known how the parameters of warp knitting technology affect the mechanical properties of warp-knitted fabrics.This paper presents discuss a research on the relationships between run-in ratio and mechanical properties of the two-bar warp-knittedfabrics through the measurement and analysis of the mechanical properties of various samples with different run-in ratios.The optimal run一in ratios for the reasonable mechanical properties are obtained from above dis-展开更多
目的:建立PRIME HLB Plus Short柱-液质质法测定畜肉产品中瘦肉精残留量的分析方法。方法:采用PRIME HLB Plus Short柱和QuEChERS试剂2种方式分别对猪肉、牛肉、羊肉进行净化的同时优化了方法的取样量、质谱条件等,并与国标GB/T 22286—...目的:建立PRIME HLB Plus Short柱-液质质法测定畜肉产品中瘦肉精残留量的分析方法。方法:采用PRIME HLB Plus Short柱和QuEChERS试剂2种方式分别对猪肉、牛肉、羊肉进行净化的同时优化了方法的取样量、质谱条件等,并与国标GB/T 22286—2008的基质种类、净化效率及回收率等进行比较。结果:PRIME HLB Plus Short柱的提取效率和净化效果均良好,平均提取及净化时间为0.5h/样品,与GB/T 22286—2008方法相比,提取及净化时间缩短了近10倍,进一步净化了本底,回收率也有所提高。结论:该方法极大的缩短了前处理的时间,最大限度的提高了检测的工作效率,莱克多巴胺、沙丁胺醇、克伦特罗的线性关系良好,方法的检出限、回收率、精密度等均满足实际检测的需求,可实现畜肉产品中β-受体激动剂残留量的快速测定。展开更多
A running mean bias(RMB) correction approach was applied to the forecasts of near-surface variables in a seasonal short-range ensemble forecasting experiment with 57 consecutive cases during summer 2010 in the norther...A running mean bias(RMB) correction approach was applied to the forecasts of near-surface variables in a seasonal short-range ensemble forecasting experiment with 57 consecutive cases during summer 2010 in the northern China region. To determine a proper training window length for calculating RMB, window lengths from 2 to 20 days were evaluated, and 16 days was taken as an optimal window length, since it receives most of the benefit from extending the window length. The raw and 16-day RMB corrected ensembles were then evaluated for their ensemble mean forecast skills. The results show that the raw ensemble has obvious bias in all near-surface variables. The RMB correction can remove the bias reasonably well, and generate an unbiased ensemble. The bias correction not only reduces the ensemble mean forecast error, but also results in a better spreaderror relationship. Moreover, two methods for computing calibrated probabilistic forecast(PF) were also evaluated through the 57 case dates: 1) using the relative frequency from the RMB-corrected ensemble; 2) computing the forecasting probabilities based on a historical rank histogram. The first method outperforms the second one, as it can improve both the reliability and the resolution of the PFs, while the second method only has a small effect on the reliability, indicating the necessity and importance of removing the systematic errors from the ensemble.展开更多
High intellectual, high flexible automatic manufacturing system based on low volume production is the trend in the future, but the traditional control charts whose control limits are based on at least 20～25 subgroups...High intellectual, high flexible automatic manufacturing system based on low volume production is the trend in the future, but the traditional control charts whose control limits are based on at least 20～25 subgroups of five observations each are not suitable in this environment. The paper presents variance control chart used in small batch production in which there are not sufficient observations. The control limits are set reliably without restriction of the number of samples.展开更多
考虑到直接对经验模式分解(EMD)所得多个分量分别建模预测会引入多重随机误差和产生较大预测工作量,提出一种基于游程检测法重构原则的EMD-Elman神经网络组合的风电短时功率预测算法,运用游程检测法对风电出力时间序列EMD得到系列本征...考虑到直接对经验模式分解(EMD)所得多个分量分别建模预测会引入多重随机误差和产生较大预测工作量,提出一种基于游程检测法重构原则的EMD-Elman神经网络组合的风电短时功率预测算法,运用游程检测法对风电出力时间序列EMD得到系列本征模态函数IMF和趋势项Res进行波动性程度检测,将波动程度相似、变化规律相近的分量依照fine to coarse顺序重构成高频分量、低频分量和趋势项。然后针对性地对3个分量分别建立较准确的Elman神经网络短时多步预测模型,可减少预测分量建模数,提高预测精度和预测速度,最后将三分量预测结果自适应叠加。还分别给出两种预测模型的算例,对比分析发现EMD-Elman组合预测模型的精度优于Elman神经网络单一预测模型。展开更多
为计算直流应急电网不同故障类型下的短路电流,便于直流应急电网开关器件的型号以及相应的保护措施的选择,提出了一种考虑蓄电池Run-time等效模型的船舶直流应急电网短路电流计算方法。与传统蓄电池的Thevenin等效模型和PNGV(the partne...为计算直流应急电网不同故障类型下的短路电流,便于直流应急电网开关器件的型号以及相应的保护措施的选择,提出了一种考虑蓄电池Run-time等效模型的船舶直流应急电网短路电流计算方法。与传统蓄电池的Thevenin等效模型和PNGV(the partnership for a new generation of vehicles)等效模型相比,所提方法考虑了蓄电池容量衰减、温度、循环次数、存储时长、电流倍率、自身产热等多因素的影响,对蓄电池的故障等值电路进行了精确模拟。最后,利用实际的直流应急电网短路电流仿真和实验验证了所提方法的准确性,与Thevenin等效模型和PNGV等效模型相比,不同故障下蓄电池Run-time等效模型短路电流的计算误差更小。展开更多
In this paper, the design and verification process of an automobile-engine-fan control system on chip （SoC） are introduced. The SoC system, SHU-MV08, reuses four new intellectual property （IP） cores and the design...In this paper, the design and verification process of an automobile-engine-fan control system on chip （SoC） are introduced. The SoC system, SHU-MV08, reuses four new intellectual property （IP） cores and the design flow is accomplished with 0.35 btm chartered CMOS technology. Some special functions of IP cores, the detailed integration scheme of four IP cores, and the verification method of the entire SoC are presented. To settle the verification problems brought by analog IP cores, NanoSim based chip-level mixed-signal verification method is introduced. The verification time is greatly reduced and the first tape-out achieves success which proves the validity of our design.展开更多
文摘Warp knitting technology gets rapid development at present and becomes one of the most important parts of the textiles.But it is less known how the parameters of warp knitting technology affect the mechanical properties of warp-knitted fabrics.This paper presents discuss a research on the relationships between run-in ratio and mechanical properties of the two-bar warp-knittedfabrics through the measurement and analysis of the mechanical properties of various samples with different run-in ratios.The optimal run一in ratios for the reasonable mechanical properties are obtained from above dis-
文摘目的:建立PRIME HLB Plus Short柱-液质质法测定畜肉产品中瘦肉精残留量的分析方法。方法:采用PRIME HLB Plus Short柱和QuEChERS试剂2种方式分别对猪肉、牛肉、羊肉进行净化的同时优化了方法的取样量、质谱条件等,并与国标GB/T 22286—2008的基质种类、净化效率及回收率等进行比较。结果:PRIME HLB Plus Short柱的提取效率和净化效果均良好,平均提取及净化时间为0.5h/样品,与GB/T 22286—2008方法相比,提取及净化时间缩短了近10倍,进一步净化了本底,回收率也有所提高。结论:该方法极大的缩短了前处理的时间,最大限度的提高了检测的工作效率,莱克多巴胺、沙丁胺醇、克伦特罗的线性关系良好,方法的检出限、回收率、精密度等均满足实际检测的需求,可实现畜肉产品中β-受体激动剂残留量的快速测定。
基金supported by a project of the National Natural Science Foundation of China (Grant No. 41305099)
文摘A running mean bias(RMB) correction approach was applied to the forecasts of near-surface variables in a seasonal short-range ensemble forecasting experiment with 57 consecutive cases during summer 2010 in the northern China region. To determine a proper training window length for calculating RMB, window lengths from 2 to 20 days were evaluated, and 16 days was taken as an optimal window length, since it receives most of the benefit from extending the window length. The raw and 16-day RMB corrected ensembles were then evaluated for their ensemble mean forecast skills. The results show that the raw ensemble has obvious bias in all near-surface variables. The RMB correction can remove the bias reasonably well, and generate an unbiased ensemble. The bias correction not only reduces the ensemble mean forecast error, but also results in a better spreaderror relationship. Moreover, two methods for computing calibrated probabilistic forecast(PF) were also evaluated through the 57 case dates: 1) using the relative frequency from the RMB-corrected ensemble; 2) computing the forecasting probabilities based on a historical rank histogram. The first method outperforms the second one, as it can improve both the reliability and the resolution of the PFs, while the second method only has a small effect on the reliability, indicating the necessity and importance of removing the systematic errors from the ensemble.
文摘High intellectual, high flexible automatic manufacturing system based on low volume production is the trend in the future, but the traditional control charts whose control limits are based on at least 20～25 subgroups of five observations each are not suitable in this environment. The paper presents variance control chart used in small batch production in which there are not sufficient observations. The control limits are set reliably without restriction of the number of samples.
文摘考虑到直接对经验模式分解(EMD)所得多个分量分别建模预测会引入多重随机误差和产生较大预测工作量,提出一种基于游程检测法重构原则的EMD-Elman神经网络组合的风电短时功率预测算法,运用游程检测法对风电出力时间序列EMD得到系列本征模态函数IMF和趋势项Res进行波动性程度检测,将波动程度相似、变化规律相近的分量依照fine to coarse顺序重构成高频分量、低频分量和趋势项。然后针对性地对3个分量分别建立较准确的Elman神经网络短时多步预测模型,可减少预测分量建模数,提高预测精度和预测速度,最后将三分量预测结果自适应叠加。还分别给出两种预测模型的算例,对比分析发现EMD-Elman组合预测模型的精度优于Elman神经网络单一预测模型。
文摘为计算直流应急电网不同故障类型下的短路电流,便于直流应急电网开关器件的型号以及相应的保护措施的选择,提出了一种考虑蓄电池Run-time等效模型的船舶直流应急电网短路电流计算方法。与传统蓄电池的Thevenin等效模型和PNGV(the partnership for a new generation of vehicles)等效模型相比,所提方法考虑了蓄电池容量衰减、温度、循环次数、存储时长、电流倍率、自身产热等多因素的影响,对蓄电池的故障等值电路进行了精确模拟。最后,利用实际的直流应急电网短路电流仿真和实验验证了所提方法的准确性,与Thevenin等效模型和PNGV等效模型相比,不同故障下蓄电池Run-time等效模型短路电流的计算误差更小。
基金Project supported by the IC Special Foundation of Shanghai Municipal Commission of Science and Technology (Grant No.09706201300)the Shanghai Municipal Commission of Economic and Information (Grant No.090344)the Shanghai High-Tech Industrialization of New Energy Vehicles (Grant No.09625029),and the Graduate Innovation Foundation of Shanghai University
文摘In this paper, the design and verification process of an automobile-engine-fan control system on chip （SoC） are introduced. The SoC system, SHU-MV08, reuses four new intellectual property （IP） cores and the design flow is accomplished with 0.35 btm chartered CMOS technology. Some special functions of IP cores, the detailed integration scheme of four IP cores, and the verification method of the entire SoC are presented. To settle the verification problems brought by analog IP cores, NanoSim based chip-level mixed-signal verification method is introduced. The verification time is greatly reduced and the first tape-out achieves success which proves the validity of our design.
