Research on the quality of data in a structural calculation document(SCD)is lacking,although the SCD ofa bridge is used as an essential reference during the entire lifecycle of the facility.XML Schema matching enables...Research on the quality of data in a structural calculation document(SCD)is lacking,although the SCD ofa bridge is used as an essential reference during the entire lifecycle of the facility.XML Schema matching enables qualitative improvement of the stored data.This study aimed to enhance the applicability of XML Schema matching,which improves the speed and quality of information stored in bridge SCDs.First,the authors proposed a method of reducing the computing time for the schema matching of bridge SCDs.The computing speed of schema matching was increased by 13 to 1800 times by reducing the checking process of the correlations.Second,the authors developed a heuristic solution for selecting the optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision tree.The decision tree model was built using the content elements stored in the SCD,design companies,bridge types,and weight factors as input variables,and the matching accuracy as the target variable.The inverse-calculation method was applied to extract the weight factors from the decision tree model for high-accuracy schema matching results.展开更多
Structural damage detection(SDD)remains highly challenging,due to the difficulty in selecting the optimal damage features from a vast amount of information.In this study,a tree model-based method using decision tree a...Structural damage detection(SDD)remains highly challenging,due to the difficulty in selecting the optimal damage features from a vast amount of information.In this study,a tree model-based method using decision tree and random forest was employed for feature selection of vibration response signals in SDD.Signal datasets were obtained by numerical experiments and vibration experiments,respectively.Dataset features extracted using this method were input into a convolutional neural network to determine the location of structural damage.Results indicated a 5%to 10%improvement in detection accuracy compared to using original datasets without feature selection,demonstrating the feasibility of this method.The proposed method,based on tree model and classification,addresses the issue of extracting effective information from numerous vibration response signals in structural health monitoring.展开更多
目的通过成本-效用分析,评价孕早期行胎儿结构畸形超声筛查相比于孕中期行胎儿结构畸形超声筛查的经济性,为临床路径优化提供循证依据。方法从全社会角度出发,构建决策树模型,模拟孕妇于孕早期行胎儿结构畸形超声筛查(干预组)与于孕中...目的通过成本-效用分析,评价孕早期行胎儿结构畸形超声筛查相比于孕中期行胎儿结构畸形超声筛查的经济性,为临床路径优化提供循证依据。方法从全社会角度出发,构建决策树模型,模拟孕妇于孕早期行胎儿结构畸形超声筛查(干预组)与于孕中期行胎儿结构畸形超声筛查(对照组)2种不同产前筛查方案的临床选择及转归路径,评估2组不同路径下的成本-效用情况。模型模拟时长为18周,临床转移概率和成本参数来源于深圳市南山区妇幼保健院数据,效用数据来源于已公开发表的文献。结果指标包括成本、质量调整生命年(qualityadjusted life years,QALYs)和增量成本-效果比(incremental cost-effectiveness ratio,ICER)。通过敏感性分析评估模型结果的稳健性。结果相比对照组,干预组可减少不必要的妊娠发生,以更少的总成本投入获得更多的QALYs,ICER为−161732.68元/QALY,具有绝对成本效果优势。概率敏感性分析表明基础分析结果具有稳健性,干预组具有成本效果的概率为94.60%。结论在全社会角度下,于孕早期进行胎儿结构畸形筛查相比于孕中期具有绝对的经济学优势。展开更多
基金This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2016R1A6A3A11934917).
文摘Research on the quality of data in a structural calculation document(SCD)is lacking,although the SCD ofa bridge is used as an essential reference during the entire lifecycle of the facility.XML Schema matching enables qualitative improvement of the stored data.This study aimed to enhance the applicability of XML Schema matching,which improves the speed and quality of information stored in bridge SCDs.First,the authors proposed a method of reducing the computing time for the schema matching of bridge SCDs.The computing speed of schema matching was increased by 13 to 1800 times by reducing the checking process of the correlations.Second,the authors developed a heuristic solution for selecting the optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision tree.The decision tree model was built using the content elements stored in the SCD,design companies,bridge types,and weight factors as input variables,and the matching accuracy as the target variable.The inverse-calculation method was applied to extract the weight factors from the decision tree model for high-accuracy schema matching results.
基金supported by the Project of Guangdong Province High Level University Construction for Guangdong University of Technology(Grant No.262519003)the College Student Innovation Training Program of Guangdong University of Technology(Grant Nos.S202211845154 and xj2023118450384).
文摘Structural damage detection(SDD)remains highly challenging,due to the difficulty in selecting the optimal damage features from a vast amount of information.In this study,a tree model-based method using decision tree and random forest was employed for feature selection of vibration response signals in SDD.Signal datasets were obtained by numerical experiments and vibration experiments,respectively.Dataset features extracted using this method were input into a convolutional neural network to determine the location of structural damage.Results indicated a 5%to 10%improvement in detection accuracy compared to using original datasets without feature selection,demonstrating the feasibility of this method.The proposed method,based on tree model and classification,addresses the issue of extracting effective information from numerous vibration response signals in structural health monitoring.
文摘目的通过成本-效用分析,评价孕早期行胎儿结构畸形超声筛查相比于孕中期行胎儿结构畸形超声筛查的经济性,为临床路径优化提供循证依据。方法从全社会角度出发,构建决策树模型,模拟孕妇于孕早期行胎儿结构畸形超声筛查(干预组)与于孕中期行胎儿结构畸形超声筛查(对照组)2种不同产前筛查方案的临床选择及转归路径,评估2组不同路径下的成本-效用情况。模型模拟时长为18周,临床转移概率和成本参数来源于深圳市南山区妇幼保健院数据,效用数据来源于已公开发表的文献。结果指标包括成本、质量调整生命年(qualityadjusted life years,QALYs)和增量成本-效果比(incremental cost-effectiveness ratio,ICER)。通过敏感性分析评估模型结果的稳健性。结果相比对照组,干预组可减少不必要的妊娠发生,以更少的总成本投入获得更多的QALYs,ICER为−161732.68元/QALY,具有绝对成本效果优势。概率敏感性分析表明基础分析结果具有稳健性,干预组具有成本效果的概率为94.60%。结论在全社会角度下,于孕早期进行胎儿结构畸形筛查相比于孕中期具有绝对的经济学优势。
