To alleviate the influence of gas compressibility on the process performance of time-pressure dispensing for electronics encapsulation,a predictive model is developed based on power-law fluid to estimate the encapsula...To alleviate the influence of gas compressibility on the process performance of time-pressure dispensing for electronics encapsulation,a predictive model is developed based on power-law fluid to estimate the encapsulant amount dispensed.Based on the simple and effective model,a run by run (RbR) supervisory control scheme is delivered to compensate the variation resulting from gas volume change in the syringe.Both simulation and experiment have shown that the dispensing consistency has been greatly improved with the model-based RbR control strategy developed in this paper.展开更多
OIL-RICH Libya faces an array of daunting challenges in dealing with the legacies of Muammar Gaddafl＇s 42 years in power, not least the dysfunctional labor sector he left behind. Add to this the damage done to the co...OIL-RICH Libya faces an array of daunting challenges in dealing with the legacies of Muammar Gaddafl＇s 42 years in power, not least the dysfunctional labor sector he left behind. Add to this the damage done to the country＇s economic infrastructure during the revolution that ousted Gaddafi in 2011, and the impact of the civil war that has raged for nearly a year. and the prognosis looks very grim,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 order to study the temporal variations of correlations between two time series,a running correlation coefficient(RCC)could be used.An RCC is calculated for a given time window,and the window is then moved sequentia...In order to study the temporal variations of correlations between two time series,a running correlation coefficient(RCC)could be used.An RCC is calculated for a given time window,and the window is then moved sequentially through time.The current calculation method for RCCs is based on the general definition of the Pearson product-moment correlation coefficient,calculated with the data within the time window,which we call the local running correlation coefficient(LRCC).The LRCC is calculated via the two anomalies corresponding to the two local means,meanwhile,the local means also vary.It is cleared up that the LRCC reflects only the correlation between the two anomalies within the time window but fails to exhibit the contributions of the two varying means.To address this problem,two unchanged means obtained from all available data are adopted to calculate an RCC,which is called the synthetic running correlation coefficient(SRCC).When the anomaly variations are dominant,the two RCCs are similar.However,when the variations of the means are dominant,the difference between the two RCCs becomes obvious.The SRCC reflects the correlations of both the anomaly variations and the variations of the means.Therefore,the SRCCs from different time points are intercomparable.A criterion for the superiority of the RCC algorithm is that the average value of the RCC should be close to the global correlation coefficient calculated using all data.The SRCC always meets this criterion,while the LRCC sometimes fails.Therefore,the SRCC is better than the LRCC for running correlations.We suggest using the SRCC to calculate the RCCs.展开更多
Run count statistics serve a central role in tests of non-randomness of stochastic processes of interest to a wide range of disciplines within the physical sciences, social sciences, business and finance, and other en...Run count statistics serve a central role in tests of non-randomness of stochastic processes of interest to a wide range of disciplines within the physical sciences, social sciences, business and finance, and other endeavors involving intrinsic uncertainty. To carry out such tests, it is often necessary to calculate two kinds of run count probabilities: 1) the probability that a certain number of trials results in a specified multiple occurrence of an event, or 2) the probability that a specified number of occurrences of an event take place within a fixed number of trials. The use of appropriate generating functions provides a systematic procedure for obtaining the distribution functions of these probabilities. This paper examines relationships among the generating functions applicable to recurrent runs and discusses methods, employing symbolic mathematical software, for implementing numerical extraction of probabilities. In addition, the asymptotic form of the cumulative distribution function is derived, which allows accurate runs statistics to be obtained for sequences of trials so large that computation times for extraction of this information from the generating functions could be impractically long.展开更多
基金the startup research foundation of China Three Gorge University (No.0620070124)
文摘To alleviate the influence of gas compressibility on the process performance of time-pressure dispensing for electronics encapsulation,a predictive model is developed based on power-law fluid to estimate the encapsulant amount dispensed.Based on the simple and effective model,a run by run (RbR) supervisory control scheme is delivered to compensate the variation resulting from gas volume change in the syringe.Both simulation and experiment have shown that the dispensing consistency has been greatly improved with the model-based RbR control strategy developed in this paper.
文摘OIL-RICH Libya faces an array of daunting challenges in dealing with the legacies of Muammar Gaddafl＇s 42 years in power, not least the dysfunctional labor sector he left behind. Add to this the damage done to the country＇s economic infrastructure during the revolution that ousted Gaddafi in 2011, and the impact of the civil war that has raged for nearly a year. and the prognosis looks very grim,
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supported by the Key Program of the National Natural Science Foundation of China (No. 41330960)the Global Change Research Program of China (No. 2015CB953900)
文摘In order to study the temporal variations of correlations between two time series,a running correlation coefficient(RCC)could be used.An RCC is calculated for a given time window,and the window is then moved sequentially through time.The current calculation method for RCCs is based on the general definition of the Pearson product-moment correlation coefficient,calculated with the data within the time window,which we call the local running correlation coefficient(LRCC).The LRCC is calculated via the two anomalies corresponding to the two local means,meanwhile,the local means also vary.It is cleared up that the LRCC reflects only the correlation between the two anomalies within the time window but fails to exhibit the contributions of the two varying means.To address this problem,two unchanged means obtained from all available data are adopted to calculate an RCC,which is called the synthetic running correlation coefficient(SRCC).When the anomaly variations are dominant,the two RCCs are similar.However,when the variations of the means are dominant,the difference between the two RCCs becomes obvious.The SRCC reflects the correlations of both the anomaly variations and the variations of the means.Therefore,the SRCCs from different time points are intercomparable.A criterion for the superiority of the RCC algorithm is that the average value of the RCC should be close to the global correlation coefficient calculated using all data.The SRCC always meets this criterion,while the LRCC sometimes fails.Therefore,the SRCC is better than the LRCC for running correlations.We suggest using the SRCC to calculate the RCCs.
文摘Run count statistics serve a central role in tests of non-randomness of stochastic processes of interest to a wide range of disciplines within the physical sciences, social sciences, business and finance, and other endeavors involving intrinsic uncertainty. To carry out such tests, it is often necessary to calculate two kinds of run count probabilities: 1) the probability that a certain number of trials results in a specified multiple occurrence of an event, or 2) the probability that a specified number of occurrences of an event take place within a fixed number of trials. The use of appropriate generating functions provides a systematic procedure for obtaining the distribution functions of these probabilities. This paper examines relationships among the generating functions applicable to recurrent runs and discusses methods, employing symbolic mathematical software, for implementing numerical extraction of probabilities. In addition, the asymptotic form of the cumulative distribution function is derived, which allows accurate runs statistics to be obtained for sequences of trials so large that computation times for extraction of this information from the generating functions could be impractically long.
