• Title/Summary/Keyword: mesh data

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Analysis of the performances of the CFD schemes used for coupling computation

  • Chen, Guangliang;Jiang, Hongwei;Kang, Huilun;Ma, Rui;Li, Lei;Yu, Yang;Li, Xiaochang
    • Nuclear Engineering and Technology
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    • v.53 no.7
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    • pp.2162-2173
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    • 2021
  • In this paper, the coupling of fine-mesh computational fluid dynamics (CFD) thermal-hydraulics (TH) code and neutronics code is achieved using the Ansys Fluent User Defined Function (UDF) for code development, including parallel meshing mapping, data computation, and data transfer. Also, some CFD schemes are designed for mesh mapping and data transfer to guarantee physical conservation in the coupling computation. Because there is no rigorous research that gives robust guidance on the various CFD schemes that must be obtained before the fine-mesh coupling computation, this work presents a quantitative analysis of the CFD meshing and mapping schemes to improve the accuracy of the value and location of key physical prediction. Furthermore, the effect of the sub-pin scale coupling computation is also studied. It is observed that even the pin-resolved coupling computation can also create a large deviation in the maximum value and spatial locations, which also proves the significance of the research on mesh mapping and data transfer for CFD code in a coupling computation.

Establishment and Performance Test of Wireless Communication Network for Train Control using Wireless Mesh Network(WMN) (무선 메쉬 네트워크를 이용한 열차무선통신망 구축 및 성능시험)

  • Cho, Dong-Rae;Yoo, Sung-Ho;Kim, Ja-Young;Park, Chae-Jung;Lee, Sung-Hoon
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.2787-2794
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    • 2011
  • A mesh node, a component of a mesh network, is connected with the network by dynamic routing using routing protocol and collects the information of adjacent or connected mesh nodes for its self-management and settings. Also, it relays packets between the mesh nodes and provides AP(Access Point) with its corresponding functions based on IEEE 802.11 a/b/g for clients' access to the network. In this paper, the study focused on the design and performance tests of Wireless Mesh Network(WMN) which is applied to the wireless communication network for the CBTC(Communications Based Train Control) system. The WMN was established on a K-AGT test-line (Kyeongsan city, Gyeongsangbuk-do), and to verify the applicability, its operation and performances are checked by measuring the data throughput, delay latency, quality measurements such as transmission loss, radio interference and path recovery and setup between the on-board and wayside.

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Impact of Mesh Size Difference on Zooplankton Distribution Data and Community Interpretation (망목 크기가 동물플랑크톤 분포 자료 및 군집해석에 미치는 영향)

  • Lee, Pyung-Gang;Park, Chul
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.9 no.1
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    • pp.13-19
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    • 2004
  • We compared two different zooplankton data sets simultaneously obtained at the same place with different mesh-sized nets. Smaller mesh-sized net yielded less diverse zooplankton taxa. However, it was difficult to generalize the relationship between the size of the mesh of the net used and the length of the species list observed. It was not only because the sample sizes obtained by smaller mesh net were relatively smaller due to the clogging problem but also because smaller mesh net usually collected more tiny animals that were difficult to identify at lower taxonomic categories. In terms of abundances, on the other hand, the smaller and the larger mesh-sized nets collected smaller and larger-sized animals more effectively, respectively. The abundances of small sized animals were usually greater than those of large-sized animals by about an order of differences. Due to this different catchability of the nets, the community analyses based on Principal Component Analysis led to different results for the same community.

The Optimal Link Scheduling in Half-Duplex Wireless Mesh Networks Using the Constraint Programming (제약식 프로그래밍을 이용한 일방향 전송 무선 메쉬 네트워크에서의 최적 링크 스케쥴링)

  • Kim, Hak-Jin
    • Journal of Information Technology Applications and Management
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    • v.23 no.2
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    • pp.61-80
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    • 2016
  • The wireless mesh network (WMN) is a next-generation technology for data networking that has the advantage in cost and the flexibility in its construction because of not requiring the infra-structure such as the ethernet. This paper focuses on the optimal link scheduling problem under the wireless mesh network to effectuate real-time streaming by using the constraint programming. In particular, Under the limitation of half-duplex transmission in wireless nodes, this paper proposes a solution method to minimize the makespan in scheduling packet transmission from wireless nodes to the gateway in a WMN with no packet transmission conflicts due to the half-duplex transmission. It discusses the conflicts in packet transmission and deduces the condition of feasible schedules, which defines the model for the constraint programming. Finally it comparatively shows and discusses the results using two constraint programming solvers, Gecode and the IBM ILOG CP solver.

The Fast 3D mesh generation method for a large scale of point data (대단위 점 데이터를 위한 빠른 삼차원 삼각망 생성방법)

  • Lee, Sang-Han;Park, Kang
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.705-711
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    • 2000
  • This paper presents a fast 3D mesh generation method using a surface based method with a stitching algorithm. This method uses the surface based method since the volume based method that uses 3D Delaunay triangulation can hardly deal with a large scale of scanned points. To reduce the processing time, this method also uses a stitching algorithm: after dividing the whole point data into several sections and performing mesh generation on individual sections, the meshes from several sections are stitched into one mesh. Stitching method prevents the surface based method from increasing the processing time exponentially as the number of the points increases. This method works well with different types of scanned points: a scattered type points from a conventional 3D scanner and a cross-sectional type from CT or MRI.

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Efficient Multicast Tree Construction in Wireless Mesh Networks

  • Nargesi, Amir-Abbas;Bag-Mohammadi, Mozafar
    • Journal of Communications and Networks
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    • v.16 no.6
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    • pp.613-619
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    • 2014
  • Multicast routing algorithms designed for wireline networks are not suitable for wireless environments since they cannot efficiently exploit the inherent characteristics of wireless networks such as the broadcast advantage. There are many routing protocols trying to use these advantages to decrease the number of required transmissions or increase the reception probability of data (e.g., opportunistic routing).Reducing the number of transmissions in a multicast tree directly decreases the bandwidth consumption and interference and increases the overall throughput of the network. In this paper, we introduce a distributed multicast routing protocol for wireless mesh networks called NCast which take into account the data delivery delay and path length when constructing the tree. Furthermore, it effectively uses wireless broadcast advantage to decrease the number of forwarding nodes dynamically when a new receiver joins the tree.Our simulation results show that NCast improves network throughput, data delivery ratio and data delivery delay in comparison with on demand multicast routing protocol. It is also comparable with multichannel multicast even though it does not use channeling technique which eliminates the interference inherently.

Data Augmentation Method for Deep Learning based Medical Image Segmentation Model (딥러닝 기반의 대퇴골 영역 분할을 위한 훈련 데이터 증강 연구)

  • Choi, Gyujin;Shin, Jooyeon;Kyung, Joohyun;Kyung, Minho;Lee, Yunjin
    • Journal of the Korea Computer Graphics Society
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    • v.25 no.3
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    • pp.123-131
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    • 2019
  • In this study, we modified CT images of femoral head in consideration of anatomically meaningful structure, proposing the method to augment the training data of convolution Neural network for segmentation of femur mesh model. First, the femur mesh model is obtained from the CT image. Then divide the mesh model into meaningful parts by using cluster analysis on geometric characteristic of mesh surface. Finally, transform the segments by using an appropriate mesh deformation algorithm, then create new CT images by warping CT images accordingly. Deep learning models using the data enhancement methods of this study show better image division performance compared to data augmentation methods which have been commonly used, such as geometric conversion or color conversion.

An effective filtering for noise smoothing using the area information of 3D mesh (3차원 메쉬의 면적 정보를 이용한 효과적인 잡음 제거)

  • Hyeon, Dae-Hwan;Choi, Jong-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.2 s.314
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    • pp.55-62
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    • 2007
  • This paper proposes method to get exquisite third dimension data removing included noise by error that occur in third dimension reconstruction through camera auto-calibration. Though reconstructing third dimension data by previous noise removing method, mesh that area is wide is happened problem by noise. Because mesh's area is important, the proposed algorithm need preprocessing that remove unnecessary triangle meshes of acquired third dimension data. The research analyzes the characteristics of noise using the area information of 3-dimensional meshes, separates a peek noise and a Gauss noise by its characteristics and removes the noise effectively. We give a quantitative evaluation of the proposed preprocessing filter and compare with the mesh smoothing procedures. We demonstrate that our effective preprocessing filter outperform the mesh smoothing procedures in terms of accuracy and resistance to over-smoothing.

A Design of Environment monitoring Server Based Wireless Mesh Networks (Wireless Mesh Networks 기반 환경감시서버 설계)

  • Im, Hyeok-Jin;Ju, Hui-Dong;Lee, Meong-Hun;Yoe, Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.671-674
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    • 2007
  • USN (Ubuquitous Sensor Network) identifies that networks are able to gather information from various kinds of sensors with RF. In the USN, it is important that sensor nodes deliver stable data by overcoming limited transmission distance and by setting optimum routes. In this paper, we propose a method to overcome the limited distance of sensor nodes using Wireless Mesh Networks. With this method, environmental monitoring system for u-farm support stable data transmission by applying MAP of Wireless Mesh Networks.

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Incomplete 2-manifold Mesh Based Tool Path Generation (불완전한 2차원다양체 메시기반 공추경로생성)

  • Lee Sung-gun;Kim Su-jin;Yang Min-yang;Lee Dong-yoon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.3 s.234
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    • pp.447-454
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    • 2005
  • This paper presents a new paradigm for 3-axis tool path generation based on an incomplete 2-manifold mesh model, namely, an inexact polyhedron. When geometric data is transferred from one system to another system and tessellated for tool path generation, the model does not have any topological data between meshes and facets. In contrast to the existing polyhedral machining approach, the proposed method generates tool paths from an incomplete 2-manifold mesh model. In order to generate gouge-free tool paths, CL-meshes are generated by offsetting boundary edges, boundary vertices, and facets. The CL-meshes are sliced by machining planes and the calculated intersections are sorted, trimmed, and linked. The grid method is used to reduce the computing time when range searching problems arise. The method is fully implemented and verified by machining an incomplete 2-manifold mesh model.