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Jinming Zhang, Xun Wang, Lianrui Xu and Xin Zhang
Commonly used robot map models include occupancy grid maps, topological maps, and semantic maps. Among these, an occupancy grid map is mainly represented as a quadrilateral grid. This paper proposes an occupancy information grid for intelligent robots by...
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Li Meng, Xiaochong Tong, Shuaibo Fan, Chengqi Cheng, Bo Chen, Weiming Yang and Kaihua Hou
Based on the analysis of the problems in the generation algorithm of discrete grid systems domestically and abroad, a new universal algorithm for the unit duplication of a polyhedral discrete grid is proposed, and its core is ?simple unit replication + e...
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Qingmei Li, Xin Chen, Xiaochong Tong, Xuantong Zhang and Chengqi Cheng
In order to cope with the rapid growth of spatiotemporal big data, data organization models based on discrete global grid systems have developed rapidly in recent years. Due to the differences in model construction methods, grid level subdivision and cod...
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Xiaobin Qu and Yingxue Yao
Floating foundations play a vital role in exploring offshore energy. After analyzing various floating foundation concepts, this paper presents a novel buoyancy-distributed floating foundation (BDFF) inspired by the decentralized concept. The calculations...
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Rui Wang, Jin Ben, Jianbin Zhou and Mingyang Zheng
Discrete global grid systems (DGGSs) are an emerging multiresolution 3D model used to integrate and analyze big earth data. The characteristic of multiresolution is usually realized by hierarchically subdividing cells on the sphere using certain refineme...
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Jianbin Zhou, Jin Ben, Rui Wang, Mingyang Zheng and Lingyu Du
Hexagonal discrete global grid systems are the preferred data models supporting multisource geospatial information fusion. Related research has aroused widespread concern in the academic community, and hierarchical indexing algorithms are one of the main...
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Yalu Li, Xuesheng Zhao, Wenbin Sun, Guangsong Wang, Fuli Luo, Zheng Wang and Yuanzheng Duan
DGGS (Discrete Global Grid System) has many subdivision models and coding methods. Due to the lack of underlying consistency of different DGGS codes, most of them are converted through longitude?latitude, which greatly reduces the interoperability effici...
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Beibut Amirgaliyev, Oleksandr Kuchanskyi, Yurii Andrashko and Didar Yedilkhan
This study considers building a dynamic model of profit maximization for a carsharing system and its verification based on the case of implementing such a system in Astana, Republic of Kazakhstan. The region, bounded by the administrative boundaries of A...
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Baowang Li, Xiaobing Wang, Junqiang Wu, Yang Tao and Neng Xiong
To study the aerodynamic characteristics of the convex structure of a surface-monitoring device on a high-speed train and to evaluate its impact on the aerodynamic performance of the high-speed train, numerical simulation research was conducted on three ...
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Adrian Rohr, Peter Priesmeier, Katerina Tzavella and Alexander Fekete
Emergency management services, such as firefighting, rescue teams and ambulances, are all heavily reliant on road networks. However, even for highly industrialised countries such as Germany, and even for large cities, spatial planning tools are lacking f...
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Caleb Buffa, Vasit Sagan, Gregory Brunner and Zachary Phillips
This study predicts the presence or absence of terrorism in Europe on a previously unexplored spatial scale. Dependent variables consist of satellite imagery and socio-environmental data. Five machine learning models were evaluated over the following bin...
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Paul Greenhalgh, Helen King, Kevin Muldoon-Smith, Adejimi Adebayo and Josephine Ellis
This study explores the potential of GIS to map and analyse the distribution, stock and value of commercial and industrial property using rating data compiled for the purposes of charging business rates taxation on all non-residential property in the UK....
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Weiyuan Zhu, Jiaqi Cheng, Yutao Pang, Hongbin An, Junpeng Zou, Jie Ren and Cheng Zhang
This study proposes a new form of underground diaphragm wall foundation with hexagonal sections, called the grid pile foundation (GPF), which is used for long-span bridges. To investigate the lateral bearing capacity characteristics of the integrated pil...
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Xiaochuang Yao, Guojiang Yu, Guoqing Li, Shuai Yan, Long Zhao and Dehai Zhu
The advent of the era of big remote sensing data has transformed traditional data management and analysis models, among which visualization analysis has gradually become an effective method, and map tiles for remote sensing data have always played an imp...
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Mingke Li, Heather McGrath and Emmanuel Stefanakis
Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response and prevention. Machine learning is widely used in flood modeling due to its high performance a...
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Monica Moroni, Myrta Castellino and Paolo De Girolamo
Issues such as the design or reauditing of dams due to the occurrence of extreme events caused by climatic change are mandatory to address to ensure the safety of territories. These topics may be tackled numerically with Computational Fluid Dynamics and ...
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Xiaoqing Mei, Chajuan Liu, Xinxia Wang and Yangyang Wei
The realization of the global ?Double carbon? target is closely related to the energy-saving travel of human beings. Along with the increase in the number of new energy vehicles around the world, the number of new energy vehicle charging post carports ha...
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Vasyl Martsenyuk, Andriy Sverstiuk
Pág. 75 - 84
The subject matter of the study is a model of cyber-physical immunosensory systems. The goal of the work is to create and to study the stability of the cyber-physical model of the immunosensory system at the hexagonal lattice using difference equations. ...
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