A. Csáaszár在[1]中引入拓扑共生(Syntopogenous)结构的概念,将拓扑结构,邻近结构,一致结构适当地统一起来研究。近年来,A·K·Katsaras等人在[2,3,4]中分别提出Fuzzy序拓扑空间,Fuzzy拓扑共生空间的概念,给出了一些...A. Csáaszár在[1]中引入拓扑共生(Syntopogenous)结构的概念,将拓扑结构,邻近结构,一致结构适当地统一起来研究。近年来,A·K·Katsaras等人在[2,3,4]中分别提出Fuzzy序拓扑空间,Fuzzy拓扑共生空间的概念,给出了一些基本性质。在文[6]中,我们对以完全分配格L为值域的Fuzzy拓扑共生空间作了一些初步的讨论,得到包括它与L-fuzzy拓扑,邻近性,一致性的关系,连续性,连通性等的若干性质。本文将X上的L-fuzzy拓扑共生结构与X上的预序结构联系起来,讨论了L-fuzzy拓扑共生结构生成的预序,预序决定的L-fuzzy拓扑生成结构,以及递增(减)的L-fuzzy拓扑共生结构的性质;其它进一步的讨论将在随后的工作中给出。展开更多
Based on the changing law of municipal water demand,a trigonometric function model for short-term water demand forecast is established using the time-series analysis approach.The method for forecasting water demand du...Based on the changing law of municipal water demand,a trigonometric function model for short-term water demand forecast is established using the time-series analysis approach.The method for forecasting water demand during holidays and under unexpected events is also presented.Meanwhile,a computer software is developed.Through actual application,this method performs well and has high accuracy,so it can be applied to the daily operation of a water distribution system and lay a foundation for on-line optimal operation.展开更多
近年来,健康体检越来越受到人们的重视。优序预检法（optimal order advance check method,OOACM）[1]是由我院经过近3年在健康检查工作中通过不断研究总结,形成的健康科学的管理方法,该法结合现代医学和现代管理学的理论、技术、方法...近年来,健康体检越来越受到人们的重视。优序预检法（optimal order advance check method,OOACM）[1]是由我院经过近3年在健康检查工作中通过不断研究总结,形成的健康科学的管理方法,该法结合现代医学和现代管理学的理论、技术、方法和手段,能够实现对个体或群体健康状况及其影响健康的危险因素进行全面检测、评估、有效干预与连续跟踪服务的医学行为及过程。展开更多
Aiming at the problem of on-line damage diagnosis in structural health monitoring （SHM）, an algorithm of feature extraction and damage alarming based on auto-regressive moving-average （ARMA） time series analysis i...Aiming at the problem of on-line damage diagnosis in structural health monitoring （SHM）, an algorithm of feature extraction and damage alarming based on auto-regressive moving-average （ARMA） time series analysis is presented. The monitoring data were first modeled as ARMA models, while a principalcomponent matrix derived from the AR coefficients of these models was utilized to establish the Mahalanobisdistance criterion functions. Then, a new damage-sensitive feature index DDSF is proposed. A hypothesis test involving the t-test method is further applied to obtain a decision of damage alarming as the mean value of DDSF had significantly changed after damage. The numerical results of a three-span-girder model shows that the defined index is sensitive to subtle structural damage, and the proposed algorithm can be applied to the on-line damage alarming in SHM.展开更多
基金Natural Science Foundation of China!(No.598780 30 )
文摘Based on the changing law of municipal water demand,a trigonometric function model for short-term water demand forecast is established using the time-series analysis approach.The method for forecasting water demand during holidays and under unexpected events is also presented.Meanwhile,a computer software is developed.Through actual application,this method performs well and has high accuracy,so it can be applied to the daily operation of a water distribution system and lay a foundation for on-line optimal operation.
文摘近年来,健康体检越来越受到人们的重视。优序预检法（optimal order advance check method,OOACM）[1]是由我院经过近3年在健康检查工作中通过不断研究总结,形成的健康科学的管理方法,该法结合现代医学和现代管理学的理论、技术、方法和手段,能够实现对个体或群体健康状况及其影响健康的危险因素进行全面检测、评估、有效干预与连续跟踪服务的医学行为及过程。
基金The National High Technology Research and Devel-opment Program of China (863Program) (No2006AA04Z416)the National Natural Science Foundation of China (No50538020)
文摘Aiming at the problem of on-line damage diagnosis in structural health monitoring （SHM）, an algorithm of feature extraction and damage alarming based on auto-regressive moving-average （ARMA） time series analysis is presented. The monitoring data were first modeled as ARMA models, while a principalcomponent matrix derived from the AR coefficients of these models was utilized to establish the Mahalanobisdistance criterion functions. Then, a new damage-sensitive feature index DDSF is proposed. A hypothesis test involving the t-test method is further applied to obtain a decision of damage alarming as the mean value of DDSF had significantly changed after damage. The numerical results of a three-span-girder model shows that the defined index is sensitive to subtle structural damage, and the proposed algorithm can be applied to the on-line damage alarming in SHM.
