Offlattice model in the prediction of protein 3D structure

Shi, Fei; Li, Nana; Niu, Xiaohui

doi:10.1007/s11859-006-0014-4

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…It is difcult to establish a general LOD model with a series of scales to meet diferent application requirements. Te feasible way is to design a specifc LOD model for specifc application requirements [17].…”

Section: Lod Model Designmentioning

confidence: 99%

Research on the 3D Fine Modeling Method of In-Service Road

Qi,

Cong,

Liu

et al. 2023

Advances in Civil Engineering

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To achieve the digitization of all traffic infrastructure elements and enable three-dimensional digital representation of physical facilities, a multilevel road three-dimensional reverse modeling method is proposed based on road point cloud data obtained by a vehicle laser scanning system. First, based on the distribution characteristics of each target structure in the road scene and the modeling requirements, a levels of detail (LOD) modeling specification is designed, and the required feature data format for each level is defined. Next, the three-dimensional characteristic parameters needed for modeling are extracted from the vehicle point cloud data. Finally, the continuous quadrilateral algorithm is used to reconstruct the road model, the topological structure relationship algorithm is used to reconstruct the intersection model, and the instantiation lofting technology is used to reconstruct the rod-shaped target model, all based on the three-dimensional modeling platform. This approach allows for the rapid reverse reconstruction of three-dimensional road models with different LOD levels. The point cloud data of two sections of urban roads with different slopes and one section of expressways were modeled and compared with the original vehicle-mounted laser point cloud data. The data volume of different level models decreases with decreasing model fineness, and the LOD1 level model has the highest similarity with point cloud data, at approximately 92.17%. The similarity of LOD2 and LOD3 decreases in turn, at 82.91% and 75.25%, respectively. For flat or undulating roads, the overall accuracy of the nearest point distance between different levels of road models and point cloud data is better than 10 cm, significantly higher than that of traditional manual modeling. The results demonstrate that vehicle mobile laser scanning technology provides new modeling data for the rapid realization of three-dimensional reverse reconstruction of large-scale traffic infrastructure. Automatic modeling technology can effectively improve modeling efficiency, reduce data redundancy, and ensure model quality.

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Section: Lod Model Designmentioning

confidence: 99%

Research on the 3D Fine Modeling Method of In-Service Road

Qi,

Cong,

Liu

et al. 2023

Advances in Civil Engineering

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“…LOD technology supports scheduling segmentation units at appropriate levels of detail within the display range. LOD solves the contradiction between scene reality and rendering speed, so it is widely used in rendering large-scale 3D scenes [55][56][57]. Therefore, we reconstruct large-scale DOMs into LOD models and build a visualization platform based on OSG to achieve data subregion organization and dynamic calls.…”

Section: Doms Visualizationmentioning

confidence: 99%

A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin

Liang,

Liu,

et al. 2023

Lithosphere

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Collecting information about fracture attributes through outcrops measurement is crucial for analyzing the scale, distribution, orientation, and spatial arrangement of fractures. The emergence of digital outcrop models (DOMs) provides a new technology for quantitative interpretation of fractures. However, large-scale DOMs pose additional challenges to the practical application, particularly in the interpretation of geological elements (e.g. fractures). This research proposes a workflow for fracture characteristics interpretation based on DOMs. First, DOMs are generated using light detection and ranging scanning technology. Then, a 3D visualization platform is developed based on OpenSceneGraph. We use level-of-detail technology to reconstruct DOMs for multiscale fast visualization of large-scale models. Finally, in order to realize the quantitative interpretation of fractures, we propose the best-plane fitting and the feature information (orientation, length, spacing, etc.) extraction methods for two types of fractures (exposed fracture walls and fracture traces). The proposed methods are applied to extract attributes of fractures in Dengying Formation (second member), Ebian, Xianfeng, southwest Sichuan Basin, China. The results provide the basis for reservoir evaluation in this area.

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Offlattice model in the prediction of protein 3D structure

Cited by 2 publications

References 9 publications

Research on the 3D Fine Modeling Method of In-Service Road

Research on the 3D Fine Modeling Method of In-Service Road

A Workflow for Interpretation of Fracture Characteristics Based on Digital Outcrop Models: A Case Study on Ebian XianFeng Profile in Sichuan Basin

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