|
|
|
|
|
Aliyye Kara, Ibrahim Eksin and Ata Mugan
The design optimization of structures can be conducted in either the time domain or the frequency domain. The frequency domain approach is advantageous compared to its time domain counterpart, especially if the degree of freedom is large, the objectives ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hosang Han and Jangwon Suh
The accurate prediction of soil contamination in abandoned mining areas is necessary to address their environmental risks. This study employed a combined model of machine learning and geostatistics to predict the spatial distribution of soil contaminatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nattakan Supajaidee, Nawinda Chutsagulprom and Sompop Moonchai
Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changxiang Yan and Jiang Zhu
The mode bias is present and time-dependent due to imperfect configurations. Data assimilation is the process by which observations are used to correct the model forecast, and is affected by the bias. How to reduce the bias is an important issue. This pa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bowen Xing, Liang Zhang, Zhenchong Liu, Hengjiang Sheng, Fujia Bi and Jingxiang Xu
The goal of this paper is to strengthen the supervision of fishing behavior in the East China Sea and effectively ensure the sustainable development of fishery resources. Based on AIS data, this paper analyzes three types of fishing boats (purse seine op...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sihan Chen, Changqing Zhang and Jiaping Yi
Woodworking manipulators are applied in wood processing to promote automatic levels in the wood industry. However, traditional trajectory planning results in low operational stability and inefficiency. Therefore, we propose a method combining 3-5-3 piece...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haoling Ren, Jiangdong Wu, Tianliang Lin, Yu Yao and Chang Liu
Intelligent agricultural machinery refers to machinery that can independently complete tasks in the field, which has great significance for the transformation of agricultural modernization. However, most of the existing research on intelligent agricultur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhongjie He, Yueqi Zhao, Xiachuan Fu, Xin Sheng and Siwen Xu
Motivated by the need for a simple and effective assimilation scheme that could be used in a relocatable ocean model, a new assimilation algorithm called ensemble optimal smoothing (EnOS) was developed. This scheme was a straightforward extension of the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunling Zhang, Danyang Wang, Zenghong Liu, Shaolei Lu, Chaohui Sun, Yongliang Wei and Mingxing Zhang
The international Argo Program was launched at the turn of the millennium. It has since collected over 2 million vertical profiles of temperature and salinity from the upper 2000 m of the global ocean. Gridded interpolation is a technology that gives ful...
ver más
|
|
|
|
|
|
|
|
|
|
|
Micah Lourdes Felix and Kwansue Jung
Precipitation is a significant input variable required in hydrological models such as the Soil & Water Assessment Tool (SWAT). The utilization of inaccurate precipitation data can result in the poor representation of the true hydrologic conditions of...
ver más
|
|
|
|
|
|