• Title/Summary/Keyword: 부 구조화 기법

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Fast Joint Normal Estimation Method for V-PCC Encoder (V-PCC 부호화기를 위한 고속 결합 법선 추정 방법)

  • Kim, Yong-Hwan;Kim, Yura
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.246-249
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    • 2022
  • 최근 들어 세계적으로 크게 관심을 받는 메타버스 및 몰입형(가상현실, 확장현실, 및 라이트필드) 콘텐츠 서비스의 응용 범위를 확대하기 위해서는 3D 객체의 실시간 전송을 위한 압축 기술이 필요하다. ISO/IEC 23090 MPEG-I Part 5 로 2021 년 표준화 완료된 V-PCC (Video-based Point Cloud Compression)는 이러한 산업계의 관심 및 필요에 의해서 국제 표준화된 동적 3D 포인트 클라우드 객체 부호화 기술이다. V-PCC 기술의 압축 성능은 기존 산업계 기술에 비해 매우 우수하나, 부호화기의 연산 복잡도가 매우 높다는 단점을 가지고 있다. 본 논문에서는 V-PCC 부호화기에서 가장 높은 연산 복잡도를 갖는 법선 추정 알고리즘의 결합 고속화 기법을 제안한다. 법선 추정은 2 개의 알고리즘으로 구성되어 있다. 첫번째는 "방향을 무시하는 법선 추정 알고리즘(normal estimation)"이고, 두번째는 첫번째 알고리즘에서 추정된 법선들을 대상으로 하는 "법선 방향 추정 알고리즘(normal orientation)"이다. 본 논문에서 제안하는 고속화 기법은 2 개 알고리즘을 결합하여 첫번째 법선 추정 알고리즘에서 획득한 부가 정보를 두번째 법선 방향 추정 알고리즘에서 활용함으로써 연산량을 대폭 줄이고, 또한 법선 방향 추정 알고리즘 내의 우선순위 큐 자료구조를 변경하여 추가적인 고속화를 달성한다. 7 개 테스트 영상에 대한 실험 결과, 압축 효율 저하 없이 법선 방향 추정 알고리즘의 속도를 평균 89.2% 향상시킬 수 있다.

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H.264 Deblocking Filter Implementation Method Considering $8\times8$ Block-Based Post-Filtering ($8\times8$ 블록기반의 후처리필터링을 고려한 H.264 블록화 현상 제거부 설계 기법)

  • Kim Sung Deuk;Cho Hong Kyu
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.2 s.302
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    • pp.19-26
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    • 2005
  • After various video coding standards such as H.263, MPEG-4, and H.264 have been introduced, there has bun strong need to support the multiple standards with limited resources efficiently. In terms of deblocking Inter which plays an important role in improving visual quality, K264 deblocking filter implementation has different aspects as compared with traditional $8\times8$ block-based post-filter implementation. Analyzing the differences, this paper proposes a H.264 deblocking filter implementation method that supports $8\times8$ block-based post-filtering for the traditional video coding systems. In the proposed implementation method the block boundaries to he filtered are adaptively chosen for $8\times8$ and $4\times4$ block boundary filtering. Since the filtered result is selectively used for motion compensation or not, both loop-filtering and post-filtering can be achieved. A quantization parameter conversion unit that converts H.263 quantization parameters to H.264 quantization parameters is utilized by examining the $8\times8$ block boundary errors based on human visual system. Since the original nature of the H.264 deblocking filter is well expanded to the $8\times8$ block-based post-filter with minor modifications, the proposed implementation method is suitable to implement the deblocking function of the multiple video standards such as H.263, MPEG-4, and K264, efficiently.

Application of Fiber Optic Sensors for Monitoring Deflection and Deformation of a Pipeline (배관 변형 및 처짐 감시를 위한 광섬유 센서의 활용)

  • Lee, Jin-Hyuk;Kim, Dae-Hyun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.36 no.6
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    • pp.460-465
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    • 2016
  • Long pipe structures are usually installed in fixtures located with regular intervals or laid underground. Therefore, deflection and deformation could easily occur due to their weight or ground activity. A shape monitoring technique can be used effectively to evaluate the integrity of the pipe structures. Fiber Bragg grating (FBG) sensors, which have an advantage of multiplexing could be used to measure strains at multiple-points of a long structure. In this study, to evaluate the integrity of a pipeline, a shape estimation technique based on strain information was proposed. Furthermore, different experiments were conducted to verify the performance of the proposed technique. Thus, the proposed shape estimation technique can represent the shape according to the deformation of the specimen using the FBGs. Moreover, calculated deflection of the pipeline using the estimation technique showed a good agreement with the actual deflection of the pipeline.

A Study on Reliability Design of Fracture Mechanics Method Using FEM (유한요소법을 이용한 파괴 역학적 방법의 신뢰성설계기술에 관한 연구)

  • Baik, Seung-Yeb;Lee, Bong-Gu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.7
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    • pp.4398-4404
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    • 2015
  • Stainless steel sheets are widely used as the structural material for dynamic machine structures, These kinds structures used stainless steel sheets are commonly fabricated by using the gas welding, For fatigue design of gas welded joints such as various type joint. It is necessary to obtain design information on stress distribution at the weldment as well as fatigue strength of gas welded joints. Thus in this paper, ${\Delta}P-N_f$ curves were obtained by fatigue tests. and, ${\Delta}P-N_f$ curves were rearranged in the ${\Delta}{\sigma}-N_f$ relation with the hot spot stresses at the gas welded joints. Using these results, the accelerated life test(ALT) is conducted. From the experiment results, an life prediction model is derived and factors are estimated. So it is intended to obtain the useful information for the fatigue lifetime of welded joints and data analysis by statistic reliability method, to save time and cost, and to develop optimum accelerated life prediction plans.

Adaptive Load Balancing Scheme using a Combination of Hierarchical Data Structures and 3D Clustering for Parallel Volume Rendering on GPU Clusters (계층 자료구조의 결합과 3차원 클러스터링을 이용하여 적응적으로 부하 균형된 GPU-클러스터 기반 병렬 볼륨 렌더링)

  • Lee Won-Jong;Park Woo-Chan;Han Tack-Don
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.1_2
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    • pp.1-14
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    • 2006
  • Sort-last parallel rendering using a cluster of GPUs has been widely used as an efficient method for visualizing large- scale volume datasets. The performance of this method is constrained by load balancing when data parallelism is included. In previous works static partitioning could lead to self-balance when only task level parallelism is included. In this paper, we present a load balancing scheme that adapts to the characteristic of volume dataset when data parallelism is also employed. We effectively combine the hierarchical data structures (octree and BSP tree) in order to skip empty regions and distribute workload to corresponding rendering nodes. Moreover, we also exploit a 3D clustering method to determine visibility order and save the AGP bandwidths on each rendering node. Experimental results show that our scheme can achieve significant performance gains compared with traditional static load distribution schemes.

Dynamic Soaring Optimal Path Following with Time-variant Horizontal Wind Model (시변 수평풍 모델을 적용한 동적 활공 최적 궤적 추종)

  • Park, SeungWoo;Han, SeungWoo;Kim, Linkeun;Ko, Sangho
    • Journal of Aerospace System Engineering
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    • v.15 no.5
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    • pp.72-80
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    • 2021
  • Albatross uses dynamic soaring technique to obtain energy from horizontal winds and fly long distances without flapping. These dynamic soaring technique can be applied to manned/unmanned aircraft to reduce the components required for the aircraft and achieve light weight and small volume to effectively perform a given task. In this paper, to simulate the dynamic soaring technique of Albatross, we defined the optimization problem and set each boundary condition to derive the optimal flight trajectory and carry out simulations to follow it. In particular, to model dynamic soaring simulations more closely with reality, we proposed a horizontal wind model that changes every moment. This identifies and analyzes the effect of the time-variable horizontal wind model on the dynamic soaring mission of unmanned aircraft.

Association Rule Discovery for Sequence Analysis (서열 분석을 위한 연관 규칙 탐사)

  • 김정자;이도헌
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.91-93
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    • 2001
  • 최근 지놈(Genome) 프로젝트를 통해 핵산, 단백질 서열 정보가 밝혀짐에 따라 분자 수준의 유전자 정보를 다루는 기법들이 활발히 연구되면서 방대한 서열 정보를 데이터 베이스화하고, 부족하기 위한 효과적인 도구와 컴퓨터 알고리즘의 개발을 필요로 하고 있다. 본 논문에서는 여러 단백질에 공통적으로 존재하는 서열 정보간에 존재하는 연관성을 탐사하기 위한 서열 연관 규칙 알고리즘을 제안한다. 원자 항목을 취급하였던 기존 알고리즘과는 달리 중복을 반영해야 하는 서열 데이터의 특성을 고려하여야 한다. 실험을 단백질 서열 데이터를 대상으로 수행하였다. 먼저 여러 서열에 빈발하게 발생하는 부 서열 집합을 찾고, 부 서열 집합들간에 존재하는 관련성을 탐사한다. 본 연구의 결과는 탐사된 규칙으로부터 다른 단백질의 구조와 기능을 예측할 수 있고, 이 정보는 필요로 하는 생물학적 분석을 방향을 제시할 것이다. 이는 생물학적 실험 대상의 후부조합을 최소화함으로써 많은 시간과 노력 비용을 절감할 수 있다.

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Relevance Verification of Staff Organizations using System Dynamics (시스템 다이내믹스 기법을 활용한 참모부 조직편성 적절성 검증)

  • Lee, Cheong-Su;Kim, Chang-Hoon
    • Journal of the Korea Society for Simulation
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    • v.27 no.3
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    • pp.53-63
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    • 2018
  • Since warfare surroundings getting complex and diverse in the future, it is not simple to make appropriate structures and organizations for military groups along the phenomenon. Therefore, this study proposes a methodology of verification for army staff's structure and organization by units in the future using System Dynamics(SD). The procedure of using SD for the verification is a calculation of database(DB), the design of causal loop diagram, and the simulation and analysis. First, DB such as individuals' workload and time is calculated through observation after a real group of staff. Second, the causal loop diagram is considered by a flow of task, and it is modeled. Third, the DB is entered into the model and simulated for analyzing of appropriacy. This study used Powersim program for designing the SD model. One of the weaknesses of the methodology of this study is possibilities of a different result by the DB by observers and perspectives by analysts. As supplementation for the weakness, this study includes research analysis and surveys for the total analysis. The meaning of this study is that it suggests a methodology of warfighting experimentation to analyze structure and organization of military groups with quantifying suitability in the scientific method.

Temperature Control by On-line CFCM-based Adaptive Neuro-Fuzzy System (온 라인 CFCM 기반 적응 뉴로-퍼지 시스템에 의한 온도제어)

  • 윤기후;곽근창
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.39 no.4
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    • pp.414-422
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    • 2002
  • In this paper, we propose a new method of adaptive neuro-fuzzy control using CFCM(Conditional Fuzzy c-means) clustering and fuzzy equalization method to deal with adaptive control problem. First, in the off-line design, CFCM clustering performs structure identification of adaptive neuro-fuzzy control with the homogeneous properties of the given input and output data. The parameter identification are established by hybrid learning using back-propagation algorithm and RLSE(Recursive Least Square Estimate). In the on-line design, the premise and consequent parameters are tuned to RLSE with forgetting factor due to a characteristic of time variant. Finally, we applied the proposed method to the water temperature control system and obtained better results than previous works such as fuzzy control.

Estimate for Ensuring sight Distance of Curve Section from Consideration of the Environmental Impact Assessment based on the 3D GIS (3차원 GIS기법으로 환경영향을 고려한 곡선부 시거 안정성 분석)

  • Choi Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.4
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    • pp.700-705
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    • 2006
  • The latest system of GIS has been changing from 2 dimension to 3 dimension. According to the rapid growth of the fields linked to 3D GIS, 3D GIS has variously affected the public field, the national defense field. and the industrial field. This study estimated sight distance safety of curve section considering the environmental impact based on 3D GIS. Sight distance is calculated from the relation between road which keeps the three-dimension character and driver gaze, so it needs to consider both plane and vertical for the accurate measuring. This study made analysis of the sight distance through considering the environmental impact with driving simulation of design speed 80km/h and running speed 60-120km/h.