|
|
|
|
|
Zhen Lei and Ting L. Lei
Geospatial data conflation is the process of identifying and merging the corresponding features in two datasets that represent the same objects in reality. Conflation is needed in a wide range of geospatial analyses, yet it is a difficult task, often con...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexis Richard C. Claridades, Misun Kim and Jiyeong Lee
The unavailability and fragmentation of spatial data are challenges in creating realistic representations of objects and environments in the real world, especially indoors. Among the numerous methods for representing indoor space, the existing research h...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiaming Ye, Defu Che, Baodong Ma, Quan Liu, Kehan Qiu and Xiangxiang Shang
Existing approaches for the 3D modeling of tunnels suffer from several problems, such as highly difficult data acquisition, redundancy of model data, large computational burden, and the inability of the resulting models to be monolithic. Therefore, solut...
ver más
|
|
|
|
|
|
|
|
|
|
|
Younes Hamdani, Guohui Xiao, Linfang Ding and Diego Calvanese
The integration of the raster data cube alongside another form of geospatial data (e.g., vector data) raises considerable challenges when it comes to managing and representing it using knowledge graphs. Such integration can play an invaluable role in han...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhipeng Du, Qinan Chen, Cong Guan and Hui Chen
Advances in power and propulsion and energy management improvements can significantly contribute to reducing emissions. The International Maritime Organization (IMO) Marpol regulations impose increasingly stringent restrictions on ship?s emission. Accord...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hui Li, Xueshan Bai, Xing Zhai, Jianqing Zhao, Xiaolong Zhu, Chenxi Li, Kehui Liu and Qizhi Wang
Mountain mudslides have emerged as one of the main geological dangers in the Yanshan region of China as a result of excessive rains. In light of this, a multi-step debris flow hazard assessment method combining optimal weights and a topological object me...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tian Wang, Zhenbo Liu, Jixing Li, Yu Liu, Xingyu Ma and Jiong Yang
Manually preparing the data for the analysis of the calculation of a pipe network of air-cooled turbine blades is inefficient. In this paper, a method to adaptively divide the blade model and extract data of the flow units is proposed. In this method, th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gonzalo Martin, Laura Calvet and Miquel Angel Piera
The lack of airspace capacity poses a significant challenge for a sustainable air transport system, particularly in scenarios of future growing demand. Air traffic management digitalization opens pathways for innovative and efficient solutions to tackle ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jian Xu, Xiaowen Zhou, Chaolin Han, Bing Dong and Hongwei Li
Accurate translation of aerial imagery to maps is a direction of great value and challenge in mapping, a method of generating maps that does not require using vector data as traditional mapping methods do. The tremendous progress made in recent years in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaotong Sun, Yu Xin, Zuocai Wang, Minggui Yuan and Huan Chen
This paper proposes the use of Gaussian Bayesian networks (GBNs) for damage detection of steel truss bridges by using the strain monitoring data. Based on the proposed damage detection procedure, a three-layer GBN model is first constructed based on the ...
ver más
|
|
|
|
|
|