• Title/Summary/Keyword: 메시 망

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Resistance Performance Simulation of Simple Ship Hull Using Graph Neural Network (그래프 신경망을 이용한 단순 선박 선형의 저항성능 시뮬레이션)

  • TaeWon, Park;Inseob, Kim;Hoon, Lee;Dong-Woo, Park
    • Journal of the Society of Naval Architects of Korea
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    • v.59 no.6
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    • pp.393-399
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    • 2022
  • During the ship hull design process, resistance performance estimation is generally calculated by simulation using computational fluid dynamics. Since such hull resistance performance simulation requires a lot of time and computation resources, the time taken for simulation is reduced by CPU clusters having more than tens of cores in order to complete the hull design within the required deadline of the ship owner. In this paper, we propose a method for estimating resistance performance of ship hull by simulation using a graph neural network. This method converts the 3D geometric information of the hull mesh and the physical quantity of the surface into a mathematical graph, and is implemented as a deep learning model that predicts the future simulation state from the input state. The method proposed in the resistance performance experiment of simple hull showed an average error of about 3.5 % throughout the simulation.

Technologies for Next Generation Wireless LAN Security (차세대 무선랜 보안 기술 동향)

  • Kim, S.H.;Lee, S.;Kwon, H.C.;An, G.I.;Cho, H.S.
    • Electronics and Telecommunications Trends
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    • v.28 no.1
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    • pp.100-109
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    • 2013
  • 사용자들은 스마트폰의 무선랜 접속을 통해 편리하게 인터넷 서비스를 사용할 때 무선 구간 도청의 위험성 정도만 인지하는 수준이지만, 편리하다는 그 이면에는 불특정 다수에 의한 도청 위험성뿐만 아니라, 무선랜은 타 무선 네트워크에 비해 비교적 저렴하고 손쉬운 공격 도구를 이용하여 네트워크 무력화가 가능하다는 큰 단점이 있다. 이에 따라 무선랜 보안성 강화를 위해, IEEE 등 관련 표준화 기구에서는 무선랜 보안과 셀룰러 망 연동, 로밍, 무선 메시 네트워크 등 다양한 활용을 염두에 둔 보안 규격을 정의하였으며, 표준 영역에서 다루지 않는 무선랜 보안 위협에 대응하는 장비에 대한 시장의 요구도 분명하다. 본고에서는 2012년 최신 무선랜 표준에서의 보안 기술과 Gbps급 차세대 무선랜 환경에서의 보안의 취약점을 이용한 공격과 이를 탐지하고 방어하는 무선랜 침해방지 기술에 대하여 논한다.

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A node placement strategy for MIM-aware concurrent transmissions in Wireless Mesh Networks (MIM 기반 동시전송가능 무선 메시망 배치전략)

  • Kang, Young-Myoung;Kim, Chong-Kwon
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06d
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    • pp.179-182
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    • 2011
  • 노트북컴퓨터 및 스마트폰을 비롯한 무선랜을 사용하는 이동기기들의 폭발적인 보급에 따라 과도한 무선 트래픽을 처리하기 위한 기술개발이 절실하다. 본 논문에서는 MIM기능이 구현된 무선인터페이스를 가지는 노드들의 적절한 배치를 통해 시스템성능을 향상시키는 방법에 대해서 소개한다. 두 노드간의 거리에 기반한 간단한 MIM캡쳐 확률 모델을 바탕으로 무선 메시노드를 배치하면 동시전송이 가능해져서 기존의 IEEE802.11 DCF를 기반으로 동작하는 무선메시망에 비해 데이터 처리율이 크게 향상될 수 있다. 우리는 시물레이션을 통한 성능검증을 통해 MIM캡쳐를 활용하는 무선메시망 배치구조가 DCF에 기초해서 동작하는 망에 비해서 약 60% 정도의 처리량 향상이 있는 것을 확인하였다.

Galaxy : a middleware platform for Peer-to-Peer service in the next generation wired/wireless integrated networks (Galaxy : 차세대 유무선 통합망에서의 P2P 서비스 지원을 위한 미들웨어 플랫폼)

  • 홍현아;박희철;김원태;박용진
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04d
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    • pp.566-568
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    • 2003
  • 본 논문은 급속히 추진되는 유무선망 통합에 따른 P2P 서비스의 효과적인 제공을 위한 새로운 아키텍쳐를 개발하고, 이를 바탕으로 다양한 응용들을 개발한다. 제안하는 P2P 플랫폼은 무선환경의 채널의 불안정성과 모바일 디바이스의 열악한 자원 및 컴퓨팅 성능 둥을 고려한 개념이 도입되어 모바일 사용자의 비접속상태에서도 지속적인 P2P 연결성을 제공할 수 있도록 설계되었다. 플랫폼의 실용성을 높이기 위하여 방화벽이나 NAT 같은 침투성을 막는 장치에 대해 http 전송방식을 대행하는 Relay server의 기능을 강화시켜 모바일 단말의 Prexy server 기능을 추가하여 통신 효율을 높인다. 응용으로는 인스턴트 메시징과 파일 공유 서비스를 구현하여 그 성능을 검증한다.

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Neural network for automatic skinning weight painting using SDF (SDF를 이용한 자동 스키닝 웨이트 페인팅 신경망)

  • Hyoseok Seol;Taesoo Kwon
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.4
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    • pp.17-24
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    • 2023
  • In computer graphics and computer vision research and its applications, various representations of 3D objects, such as point clouds, voxels, or triangular meshes, are used depending on the purpose. The need for animating characters using these representations is also growing. In a typical animation pipeline called skeletal animation, "skinning weight painting" is required to determine how joints influence a vertex on the character's skin. In this paper, we introduce a neural network for automatically performing skinning weight painting for characters represented in various formats. We utilize signed distance fields (SDF) to handle different representations and employ graph neural networks and multi-layer perceptrons to predict the skinning weights for a given point.

On-Demand Tunnel Creation Mechanism in Star VPN Topology (성형 VPN 구조에서의 주문형 터널 생성 메커니즘)

  • Byun, Hae-Sun;Lee, Mee-Jeong
    • Journal of KIISE:Information Networking
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    • v.32 no.4
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    • pp.452-461
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    • 2005
  • In the star VPN (Virtual Private Network) topology, the traffic between the communicating two CPE(Customer Premise Equipment) VPN GW(Gateway)s nay be inefficiently transferred. Also, the Center VPN GW nav erperience the overload due to excessive packet processing overhead. As a solution to this problem, a direct tunnel can be established between the communicating two CPE VPN GWs using the IKE (Internet Key Exchange) mechanism of IPSec(IP Security). In this case, however, the tunnel establishment and management nay be complicated. In this paper, we propose a mechanism called' SVOT (Star VPN On-demand Tunnel)', which automatically establishes a direct tunnel between the communicating CPE VPN GWs based on demand. In the SVOT scheme, CPE VPN GWs determine whether it will establish a direct tunnel or not depending on the traffic information monitored. CPE VPN GW requests the information that is necessary to establishes a direct tunnel to the Center VPN GW Through a simulation, we investigate the performance of the scheme performs better than the SYST scheme with respect to scalability, traffic efficiency and overhead of Center VPN GW, while it shows similar performance to the FVST with respect to end-to-end delay and throughput.

Low Complexity Bit Loading Algorithm with Power-constraint for OFDM-based Wireless Sensor Communication (OFDM 기반 무선 센서 망에서 에너지 제한을 고려한 복잡도 낮은 비트 할당 알고리즘)

  • Oh, Seoung-Youl;Ko, Hyeon-Mok;Kwon, Soon-Mok;Kim, Chee-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.12B
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    • pp.1483-1490
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    • 2009
  • Orthogonal frequency division multiplexing (OFDM) has been investigated as an enabling technology for future wireless communications such as ad hoc, mesh and sensor networks. However, prior works on bit-loading lack consideration of the constraints on energy and computing facility in sensor networks. In this paper, we suggest an adaptive bit allocation algorithm for a frequency selective fading channel environment which exploits channel state information obtained through a feedback channel. The proposed algorithm significantly reduces computational complexity and satisfies the power budget. Also, its throughput is comparable to the optimum solution. Simulation results support the claim stated.

Proposal of USN Configuratation and Routing Scheme Inside a Ship (선박 내 센서 노드 구성 및 라우팅 제안)

  • Lee, Seong Ro;Jeong, Min-A;Kim, Yeongeun;Min, Sang-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.8
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    • pp.660-666
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    • 2014
  • In this paper, we consider a classification criteria of sensor nodes based on equipment function, and propose a routing search algorithm between node when an IP-USN is applied inside a ship. whereas a tree-type routing algorithm is applied to the limited mobile enviroment, such as engine room or machine room, a mesh-type routing alogrithm is to free mobile enviroment, such as passager corridor liviing quarters or restanrats areas. For mesh-type routing, it is necessary to maintain a seamless route path between a sink node and sensor nodes for which we consider a novel message exchange periodically. We proposed a new message, RDES message, which is issued periodically to update the topology of sensor node and check a connectivity between nodes.

An Internet Telephony Recording System using Open Source Softwares (오픈 소스 소프트웨어를 활용한 인터넷 전화 녹취 시스템)

  • Ha, Eun-Yong
    • Journal of Digital Convergence
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    • v.9 no.5
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    • pp.225-233
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    • 2011
  • Internet telephony is an Internet service which supports voice telephone using VoIP technology on the IP-based Internet. It has some advantages in that voice telephone services can be accompanied with multimedia services such as video communication and messaging services. Recently, the introduction of smart phones has led to a growth in social networking services and thus, the research and development of Internet telephony has been actively progressed and has the potential to become a replacement for the telephone service that is currently being used. In this paper we designed and implemented a recording system which records voice data of SIP-based Internet telephone's voice calls. It is developed on the linux system and has some features such as audio mixing of two in/out voice channels, live packet sniffing, and the ability to transfer mixed audio files to the log file server. These functions are implemented using various open source softwares. Afterwards, this VoIP recording system will be applied as a base technology to advanced services like a VoIP-based call center system.

Drape Simulation Estimation for Non-Linear Stiffness Model (비선형 강성 모델을 위한 드레이프 시뮬레이션 결과 추정)

  • Eungjune Shim;Eunjung Ju;Myung Geol Choi
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.3
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    • pp.117-125
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    • 2023
  • In the development of clothing design through virtual simulation, it is essential to minimize the differences between the virtual and the real world as much as possible. The most critical task to enhance the similarity between virtual and real garments is to find simulation parameters that can closely emulate the physical properties of the actual fabric in use. The simulation parameter optimization process requires manual tuning by experts, demanding high expertise and a significant amount of time. Especially, considerable time is consumed in repeatedly running simulations to check the results of applying the tuned simulation parameters. Recently, to tackle this issue, artificial neural network learning models have been proposed that swiftly estimate the results of drape test simulations, which are predominantly used for parameter tuning. In these earlier studies, relatively simple linear stiffness models were used, and instead of estimating the entirety of the drape mesh, they estimated only a portion of the mesh and interpolated the rest. However, there is still a scarcity of research on non-linear stiffness models, which are commonly used in actual garment design. In this paper, we propose a learning model for estimating the results of drape simulations for non-linear stiffness models. Our learning model estimates the full high-resolution mesh model of drape. To validate the performance of the proposed method, experiments were conducted using three different drape test methods, demonstrating high accuracy in estimation.