建筑能耗的准确预测为电网系统进行高效管理和合理分配电能资源奠定了重要基础,而结合外因数据预测商业楼宇的负荷用电量是一个难点问题。根据建筑内人流量对用电负荷的影响,提出一种将融合移动人流数据的多维时间序列预测模型LMO(Linea...建筑能耗的准确预测为电网系统进行高效管理和合理分配电能资源奠定了重要基础,而结合外因数据预测商业楼宇的负荷用电量是一个难点问题。根据建筑内人流量对用电负荷的影响,提出一种将融合移动人流数据的多维时间序列预测模型LMO(Linear Model with Occupancy)。利用楼宇负荷用电和移动人流时间序列的耦合性,LMO融合了多维特征,提高楼宇用电量预测的准确性。实验结果表明,LMO能够引入更多的先验知识,减少不确定性。因此,相比于传统方法,该预测方法具有更高的预测精度。展开更多
Diamond negatively charged nitrogen-vacancy(NV-) centers provide an opportunity for the measurement of the Meissner effect on extremely small samples in a diamond anvil cell(DAC) due to their high sensitivity in detec...Diamond negatively charged nitrogen-vacancy(NV-) centers provide an opportunity for the measurement of the Meissner effect on extremely small samples in a diamond anvil cell(DAC) due to their high sensitivity in detecting the tiny change of magnetic field. We report on the variation of magnetic field distribution in a DAC as a sample transforms from normal to superconducting state by using finite element analysis. The results show that the magnetic flux density has the largest change on the sidewall of the sample, where NV-centers can detect the strongest signal variation of the magnetic field. In addition, we study the effect of magnetic coil placement on the magnetic field variation. It is found that the optimal position for the coil to generate the greatest change in magnetic field strength is at the place as close to the sample as possible.展开更多
This paper established the GC-MS method to analyze phytosterol in beans and study the content and distribution of phytosterol in green beans,red beans,black beans and soybeans in 5 main producing areas of China(Inner ...This paper established the GC-MS method to analyze phytosterol in beans and study the content and distribution of phytosterol in green beans,red beans,black beans and soybeans in 5 main producing areas of China(Inner Mongolia,Heilongjiang,Jilin,Hebei,Shandong).This paper used GC-MS method to analyze the content and distribution of campesterol,stigmasterol,sitostanol,brassicasterol,ergosterol,cycloartanol,cycloartenol,2,4-methylenecycloartanol,spinasterol,cholesterol and cholestanol in the beans from different producing areas.Results showed that the content of sterol in green beans was higher than in three other kinds of beans,and the content of sterol in red beans was the lowest.Different producing areas had a significant impact on the content of sterol in beans,and the dominant producing areas included Inner Mongolia and Heilongjiang.The study provided a basis for quality assessment and nutritional evaluation of beans and provided a reference for traceability and variety distinction study of other edible beans.展开更多
文摘建筑能耗的准确预测为电网系统进行高效管理和合理分配电能资源奠定了重要基础,而结合外因数据预测商业楼宇的负荷用电量是一个难点问题。根据建筑内人流量对用电负荷的影响,提出一种将融合移动人流数据的多维时间序列预测模型LMO(Linear Model with Occupancy)。利用楼宇负荷用电和移动人流时间序列的耦合性,LMO融合了多维特征,提高楼宇用电量预测的准确性。实验结果表明,LMO能够引入更多的先验知识,减少不确定性。因此,相比于传统方法,该预测方法具有更高的预测精度。
基金supported by the National Key R&D Program of China(Grant No.2018YFA0305900)the National Natural Science Foundation of China(Grant Nos.11774126,11674404,and 51772125)
文摘Diamond negatively charged nitrogen-vacancy(NV-) centers provide an opportunity for the measurement of the Meissner effect on extremely small samples in a diamond anvil cell(DAC) due to their high sensitivity in detecting the tiny change of magnetic field. We report on the variation of magnetic field distribution in a DAC as a sample transforms from normal to superconducting state by using finite element analysis. The results show that the magnetic flux density has the largest change on the sidewall of the sample, where NV-centers can detect the strongest signal variation of the magnetic field. In addition, we study the effect of magnetic coil placement on the magnetic field variation. It is found that the optimal position for the coil to generate the greatest change in magnetic field strength is at the place as close to the sample as possible.
基金Supported by National Agricultural Quality and Safety Risk Assessment Project in 2017(GJFP201701505)
文摘This paper established the GC-MS method to analyze phytosterol in beans and study the content and distribution of phytosterol in green beans,red beans,black beans and soybeans in 5 main producing areas of China(Inner Mongolia,Heilongjiang,Jilin,Hebei,Shandong).This paper used GC-MS method to analyze the content and distribution of campesterol,stigmasterol,sitostanol,brassicasterol,ergosterol,cycloartanol,cycloartenol,2,4-methylenecycloartanol,spinasterol,cholesterol and cholestanol in the beans from different producing areas.Results showed that the content of sterol in green beans was higher than in three other kinds of beans,and the content of sterol in red beans was the lowest.Different producing areas had a significant impact on the content of sterol in beans,and the dominant producing areas included Inner Mongolia and Heilongjiang.The study provided a basis for quality assessment and nutritional evaluation of beans and provided a reference for traceability and variety distinction study of other edible beans.
