Article
Engineering, Mechanical
Hongzhe Dai, Ruijing Zhang, Michael Beer
Summary: This paper presents a new method for modeling and response propagation of non-Gaussian systems under limited observations. The method utilizes Karhunen-Loeve expansion and kernel density estimation to construct a random model, and implements arbitrary polynomial chaos formulation for response propagation. The proposed method provides an effective framework for uncertain analysis of real-life engineering systems with limited observations.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Multidisciplinary Sciences
Ziyi Wang, Debin Ma, Dongqi Sun, Jingxiang Zhang
Summary: This study accurately identified the functional areas in the central urban area of Hangzhou by combining Open Street Map and Point of Interest data, revealing spatial distribution characteristics and core-periphery differentiation. The results were consistent with the actual situation, providing references for urban planning and management.
Article
Engineering, Multidisciplinary
Ruijing Zhang, Hongzhe Dai
Summary: Over the past decades, there has been considerable interest in modeling random system inputs and propagating system responses from limited observations. This paper proposed a novel method that constructs a random model of system inputs using a kernel density estimator for Karhunen-Loeve variables and propagates the response using the arbitrary polynomial chaos formulation. The developed method accurately represents input parameters and efficiently propagates system responses, providing an effective framework for stochastic modeling and response propagation in engineering systems with limited observations.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Editorial Material
Geography, Physical
Katherine B. Lininger, Ann V. Rowan, Bridget Livers, Natalie Kramer, Virginia Ruiz-Villanueva, Alicia Sendrowski, Sallie Burrough
Summary: Many geomorphologists who are mothers struggle to balance field research with pregnancy and childcare responsibilities. This paper offers perspectives on the challenges they face and possible solutions, advocating for support from the community to enhance diversity within the discipline.
EARTH SURFACE PROCESSES AND LANDFORMS
(2021)
Article
Geosciences, Multidisciplinary
Chukwuebuka Emeh, Ogbonnaya Igwe, Tochukwu A. S. Ugwoke
Summary: Gully erosion studies are usually complex and expensive due to multiple causative factors and heterogeneity of geologic materials. In developing countries with limited resources for environmental studies, thorough studies are rarely carried out, making it difficult to solve problems arising from this hazard. However, remotely sensed data can be utilized with geospatial analytical tools to solve complex gully erosion problems. A study in Anambra State, Nigeria integrated geomorphologic, environmental, and geotechnical data to analyze susceptibility to gullying. The results showed factors such as slope angle, soil plasticity, and population density contribute to soil's susceptibility to gully erosion.
Article
Chemistry, Physical
Wenyi Du, Juan Ma, Changhu Zhou, Yongchun Yan, Peter Wriggers
Summary: This work presents a robust non-deterministic free vibration analysis for engineering structures with random field parameters using the stochastic finite element method. The uncertainty of structural material parameters is described using Gauss random field theory and the random parameters are discretized with the Karhunen-Loeve expansion method. The structural dynamic characteristics are analyzed based on the discretized random parameters and finite element method, and the probability distribution density function of the random natural frequency is estimated.
Article
Green & Sustainable Science & Technology
Kuanxing Zhu, Peihua Xu, Chen Cao, Lianjing Zheng, Yue Liu, Xiujun Dong
Summary: This study utilized SBAS-InSAR technology to monitor surface deformation in Maoxian County, Sichuan Province, and identified 26 disaster areas including 20 potential landslides and 6 potential collapses from 18 deformation clusters through hot spot and kernel density analyses.
Article
Energy & Fuels
Shakhawat Hossain, Tahmidur Rahman Junayed, Naymur Rahman
Summary: This study utilized integrated channel belt dimension analysis to characterize fluvial reservoirs by combining seismic geomorphology, empirical equations, well log facies, and petrophysical analysis. It revealed the challenges of characterizing fluvial reservoirs due to their varying dimensions and connectivity.
Article
Mathematics
Yi Jin, Yulin He, Defa Huang
Summary: The paper proposed an improved variable KDE (IVKDE) method, which can determine the optimal bandwidth for each data point based on the integrated squared error (ISE) criterion. Compared with fixed KDE (FKDE) and variable KDE (VKDE), IVKDE achieved lower estimation errors.
Article
Biochemical Research Methods
Yang Liu, Hongxia He, Zhi-Xiong Xiao, Anquan Ji, Jian Ye, Qifan Sun, Yang Cao
Summary: Identifying body fluids left at crime scenes by extracting miRNA markers from trace samples is crucial for reconstructing the scene and inferring criminal behavior. Developing complex methods combining multiple miRNA markers, such as the combination of miR-451a, miR-891a-5p, miR-144-5p, and miR-203a-3p with KDE, can achieve the most accurate and robust performance for body fluid identification.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Geography
Tao Jia, Xuesong Yu, Xin Li, Kun Qin
Summary: Using massive human movement data, this study proposes methods to identify urban influential regions and finds that they are broadly distributed in urban space, exhibiting periodic morphological patterns. These influential regions are associated with different urban functionalities and have varying degrees of influence in space, while also showing stable daily variation.
TRANSACTIONS IN GIS
(2021)
Article
Green & Sustainable Science & Technology
Xu Sun, Hanxiao Hu, Shuo Ma, Kun Lin, Jianyu Wang, Huapu Lu
Summary: This study examines factors affecting crash duration using traffic crash data from Houston, USA. It uses ArcGIS kernel density analysis techniques to study the spatial distribution characteristics of these factors under different scenarios. The results show that accidents are more likely to occur at night and on holidays, and accidents last longer in residential areas. Accident duration also varies near different road facilities.
Review
Engineering, Civil
Armin Tabandeh, Gaofeng Jia, Paolo Gardoni
Summary: This paper reviews the mathematical foundation of importance sampling technique and discusses two general classes of methods for constructing the importance sampling density for reliability analysis. It explains the failure probability estimator, statistical properties, and computational complexity of the importance sampling technique. The paper explores and compares the performance of two classes of importance sampling methods using benchmark examples, and discusses the challenges and future directions of this technique.
Article
Engineering, Mechanical
Ignacio Ramirez-Parietti, Javier E. Contreras-Reyes, Byron J. Idrovo-Aguirre
Summary: In this study, a new nonparametric approach was proposed to estimate CSE, with redefined criteria for generalization purposes. The research showed that the synchrony level between CAD/USD and SGD/USD foreign exchange rate time series was higher after the 1999 Asian financial crisis, with a slightly different estimated CSE compared to previous studies.
NONLINEAR DYNAMICS
(2021)
Article
Water Resources
David A. Benson, Diogo Bolster, Stephen Pankavich, Michael J. Schmidt
Summary: Traditional interpolation techniques for particle tracking involve binning and convolutional formulas using pre-determined kernels. Each particle in the cloud is a sample from the Green's function, and the kernel for interpolation should replicate the cloud itself. An iterative method is proposed to discern the form of the kernel during the process of interpolating the Green's function.
ADVANCES IN WATER RESOURCES
(2021)