http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Duong Huong Nguyen,H. Tran-Ngoc,T. Bui-Tien,Guido De Roeck,Magd Abdel Wahab 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.26 No.1
This paper proposes the use of transmissibility functions combined with a machine learning algorithm, Artificial Neural Networks (ANNs), to assess damage in a truss bridge. A new approach method, which makes use of the input parameters calculated from the transmissibility function, is proposed. The network not only can predict the existence of damage, but also can classify the damage types and identity the location of the damage. Sensors are installed in the truss joints in order to measure the bridge vibration responses under train and ambient excitations. A finite element (FE) model is constructed for the bridge and updated using FE software and experimental data. Both single damage and multiple damage cases are simulated in the bridge model with different scenarios. In each scenario, the vibration responses at the considered nodes are recorded and then used to calculate the transmissibility functions. The transmissibility damage indicators are calculated and stored as ANNs inputs. The outputs of the ANNs are the damage type, location and severity. Two machine learning algorithms are used; one for classifying the type and location of damage, whereas the other for finding the severity of damage. The measurements of the Nam O bridge, a truss railway bridge in Vietnam, is used to illustrate the method. The proposed method not only can distinguish the damage type, but also it can accurately identify damage level.
Nguyen Thuy T.,Duong Tien H.,Dinh My T. T.,Truong Thu T. M.,Pham Tram H. H. 한국국제경제학회 2023 International Economic Journal Vol.37 No.2
While there have been numerous papers analyzing the political, economic and social effects of trust, there is little evidence on how social trust has an impact on property rights protection which is fundamental for promoting economic development. This study aims to investigate how trust value is related to property rights protection, focusing on the comparison of the effect on intellectual property rights versus physical property rights. Analyzing the data on property rights protection in 2015 from the Property Right Alliance organization and trust value from the World Value Survey from 1999 to 2014, we find that social trust has a direct effect only on intellectual property rights protection but less consistent on physical property rights protection. However, trust value has indirect effect on both forms of property rights protection via formal institutions. Our study, thus, adds to the literature by clarifying the context through which trust value affects cheating behaviors.