document

Snap rounding polygons with a triangulation

Zhang, Fengyan (author)

Geometric algorithms are usually designed based on the assumption of using arbitraryprecision representations. However, in modern computer systems floating-point arithmetic and finite-precision approximation are often used as implementing exact computations would require large computational resources and would be rather slow in the applications....

master thesis 2023

document

A coupled MPM-DEM method for modelling soil-rock mixtures

Li, Jianguo (author), Wang, Bin (author), Wang, Di (author), Zhang, Pei (author), Vardon, P.J. (author)

Aiming at modelling the mechanical behaviour of soil-rock mixtures accurately and efficiently, a coupled MPM-DEM formulation combining the material point method (MPM) and the discrete element method (DEM) is proposed. It is solved concurrently via the contact force linking the two individual methods. Specifically, the soil is modelled with...

journal article 2023

document

Recent advances and perspectives in GNSS PPP-RTK

Hou, P. (author), Zha, Jiuping (author), Liu, Teng (author), Zhang, Baocheng (author)

Precise point positioning-real-time kinematic (PPP-RTK), otherwise known as integer ambiguity resolution-enabled precise pointing positioning, has attracted much attention in recent years and has become state-of-the-art in the global navigation satellite system (GNSS) high-precision positioning community. This work reviews several PPP-RTK...

journal article 2023

document

Sparsity-based Human Activity Recognition with PointNet using a Portable FMCW Radar

Ding, Chuanwei (author), Zhang, Li (author), Chen, Haoyu (author), Hong, Hong (author), Zhu, Xiaohua (author), Fioranelli, F. (author)

Radar-based solutions have attracted great attention in human activity recognition (HAR) for their advantages in accuracy, robustness, and privacy protection. The conventional approaches transform radar signals into feature maps and then directly process them as visual images. While effective, these image-based methods may not be the best...

journal article 2023

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Efficient MSPSO Sampling for Object Detection and 6D Pose Estimation in 3D Scenes

Xing, Xuejun (author), Guo, Jianwei (author), Nan, L. (author), Gu, Qingyi (author), Zhang, Xiaopeng (author), Yan, Dong Ming (author)

The point pair feature (PPF) is widely used in industrial applications for estimating 6D poses of known objects from unrecognized point clouds. The key to the success of PPF matching is to establish correct 3D correspondences between the object and the scene, i.e., finding as many valid similar point pairs as possible. Thus, a set of...

journal article 2022

document

Sensing fiber selection for point displacement measuring with distributed optic fiber sensor

Zhang, X. (author), Broere, W. (author)

Distributed optical fiber sensors (DOFS) allow for distributed strain sensing and can be installed to function as extensometers for measuring point-displacements. This paper discusses the metrics of optimal sensing fiber selection for point-displacement measuring. Key metrics include the physical structure, mechanical parameters and light...

journal article 2022

document

On the formation mechanisms and properties of MAX phases: A review

Zhang, Z. (author), Duan, X. (author), Jia, Dechang (author), Zhou, Y. (author), van der Zwaag, S. (author)

MAX phases are a family of ternary carbide or nitride ceramics possessing a layered crystal structure and, due to their chemical bonds having a mixed covalent-ionic-metallic nature, have unique properties combining those of metals and ceramics. In this review, the formation mechanisms of MAX phases from elemental and compound powders are...

review 2021

document

System identification of a dynamical model of a vehicle using data generated by a high-fidelity simulator

Zhang, Chenxi (author)

Unmanned vehicles are a vital topic in today’s science and technology field. The safety problem of unmanned vehicles has been paid more attention from researchers. People are continually developing new control technologies, making the auxiliary driving or control of vehicles more accurate and reliable. Before designing a reliable controller,...

master thesis 2021

document

Development of an adaptive CTM–RPIM method for modeling large deformation problems in geotechnical engineering

Li, Jianguo (author), Wang, Bin (author), Jiang, Quan (author), He, Benguo (author), Zhang, Xue (author), Vardon, P.J. (author)

In this paper, a meshfree method called adaptive CTM–RPIM is developed to model geotechnical problems with large deformation. The developed adaptive CTM–RPIM is a combination of the Cartesian transformation method (CTM), the radial point interpolation method (RPIM) and the alpha shape method. To reduce the requirement for meshes, the CTM is...

journal article 2021

document

An Approach to Map Visibility in The Built Environment from Airborne LiDAR Point Clouds

Zhang, Guan ting (author), Verbree, E. (author), Wang, Xiao jun (author)

Sustainable development can only be achieved with an innovative improvement from the way we currently analyze, design, build and manage our urban spaces. Current digital analysis and design methods for cities, such as visibility analysis, deeply rely on mapping and modeling techniques. However, most methods fall short of depicting the real...

journal article 2021

document

Design and Fabrication of a Multi-Functional Programmable Thermal Test Chip

Sattari, R. (author), van Zeijl, H.W. (author), Zhang, Kouchi (author)

This paper focuses on the design and fabrication of a new programmable thermal test chip as a flexible and cost-effective solution for simplification of characterization/prototyping of new packages. The cell-based design format makes the chip fit into any modular array configuration. One unit cell is as small as 4x4 mm2, including 6 individually...

conference paper 2021

document

Visualization of Point Clouds in Mobile Augmented Reality using Continuous Level of Detail Method

Zhang, Liyao (author)

Visualizing the point clouds is an integral part of processing the data, which enables users to explore and interact with the point clouds more intuitively. However, most of the current point cloud renderers are developed in non-immersive environments. In the last few years, some new technologies, such as Augmented Reality (AR), Virtual Reality ...

master thesis 2020

document

A Computational Workflow for Flow and Transport in Fractured Porous Media Based on a Hierarchical Nonlinear Discrete Fracture Modeling Approach

Zhang, Wenjuan (author), Diab, Waleeb (author), Hajibeygi, H. (author), Al Kobaisi, Mohammed (author)

Modeling flow and transport in fractured porous media has been a topic of intensive research for a number of energy- and environment-related industries. The presence of multiscale fractures makes it an extremely challenging task to resolve accurately and efficiently the flow dynamics at both the local and global scales. To tackle this challenge,...

journal article 2020

document

Dynamics of a Tidal Current System in a Marginal Sea: A Case Study of the Yellow Sea, China

Zhang, Qian (author), Su, Min (author), Yao, Peng (author), Chen, Yongping (author), Stive, M.J.F. (author), Wang, Zhengbing (author)

Tidal currents belong to the main driving forces shaping the bathymetry of marginal seas. A globally unique radial sand ridge field exists in the South Yellow Sea off the central Jiangsu coast, China. Its formation is related to the distinctive “radial tidal current” pattern at that location. A generally accepted hypothesis is that the ...

journal article 2020

document

Glacier mass balance in the Nyainqentanglha mountains between 2000 and 2017 retrieved from ZiYuan-3 stereo images and the SRTM DEM

Ren, Shaoting (author), Menenti, M. (author), Jia, Li (author), Zhang, Jing (author), Zhang, Jingxiao (author), Li, Xin (author)

Mountain glaciers are excellent indicators of climate change and have an important role in the terrestrial water cycle and food security in many parts of the world. Glaciers are the major water source of rivers and lakes in the Nyainqentanglha Mountains (NM) region, where the glacier area has the second largest extent on the Tibetan Plateau....

journal article 2020

document

Visualization of point cloud models in mobile augmented reality using continuous level of detail method

Zhang, L. (author), van Oosterom, P.J.M. (author), Liu, H. (author)

Point clouds have become one of the most popular sources of data in geospatial fields due to their availability and flexibility. However, because of the large amount of data and the limited resources of mobile devices, the use of point clouds in mobile Augmented Reality applications is still quite limited. Many current mobile AR applications...

journal article 2020

document

Mapping surface deformation and thermal dilation of arch bridges by structure-driven multi-temporal DInSAR analysis

Qin, Xiaoqiong (author), Zhang, Lu (author), Yang, M. (author), Luo, Heng (author), Liao, Mingsheng (author), Ding, Xiaoli (author)

Arch bridges are important transportation infrastructures widely distributed in China, but they are prone to structural defects due to aging without routine inspection and maintenance. Therefore, Structural Health Monitoring (SHM) of these bridges is urgently needed by civil engineers to effectively reduce the risk of bridge damage or...

journal article 2018

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Joint estimation of vertical total electron content (VTEC) and satellite differential code biases (SDCBs) using low-cost receivers

Zhang, Baocheng (author), Teunissen, P.J.G. (author), Yuan, Yunbin (author), Zhang, Hongxing (author), Li, Min (author)

Vertical total electron content (VTEC) parameters estimated using global navigation satellite system (GNSS) data are of great interest for ionosphere sensing. Satellite differential code biases (SDCBs) account for one source of error which, if left uncorrected, can deteriorate performance of positioning, timing and other applications. The...

journal article 2018

document

Point Cloud Based Visibility Analysis: first experimental results

Zhang, G. (author), van Oosterom, P.J.M. (author), Verbree, E. (author)

Visibility computed from a LiDAR point cloud offers several advantages compared to using a gridded digital height-model. With a higher resolution and detailed information, point cloud data can provide precise analysis as well as an opportunity to avoid the process of generating a surface representation or a solid model. Also a better inclusion...

conference paper 2017

document

Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images

Kang, Z. (author), Li, J. (author), Zhang, L. (author), Zhao, Q. (author), Zlatanova, S. (author)

This paper presents a new approach to the automatic registration of terrestrial laser scanning (TLS) point clouds using panoramic reflectance images. The approach follows a two-step procedure that includes both pair-wise registration and global registration. The pair-wise registration consists of image matching (pixel-to-pixel correspondence)...

journal article 2009