• Title/Summary/Keyword: 무게중심기법

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Signal Processing of Guide Sensor based on Multi-Masking and Center of Gravity Method for Automatic Guided Vehicle (다중 마스킹과 무게중심법을 기반한 AGV용 가이드 센서 신호처리)

  • Lee, Byeong-Ro;Lee, Ju-Won
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.2
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    • pp.79-84
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    • 2021
  • The most important device of the AGV is the guide sensor, and the typical function of this sensor is high accuracy and extraction of the road. If the accuracy of the guide sensor is low or the sensor device is extracted the wrong track, this causes the problems such as the AGV collision, track-out, the load falling due to AGV swing. In order to improve these problems, this study is proposed a signal processing method of the guide sensor based on multi-maskings and the center of gravity method, and evaluated its performance. As a result, the proposed method showed that the mean error of absolute value is 2.32[mm] and it showed performance improvement of 27[%] than the center of gravity method of existence. Therefore, when the proposed signal processing method is applied, It is thought that the posture control and driving stability of the AGV will be improved.

A Study on the Application of the Steering Control to Increase Roll Stiffness for the Relatively Tall Vehicles (무게중심이 높은 차량의 롤 강성계수 증대를 위한 스티어링 제어기법의 응용에 관한 연구)

  • 소상균;변기식
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.2
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    • pp.53-60
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    • 2003
  • For the high center of gravity vehicles the roll stiffness of their suspensions is arranged to be very high because such vehicles are in some danger of tipping over in cornering. In some cases, the effective roll stiffness is determined significantly by the compliance of the tires because of the very stiff anti-roll members incorporated in the suspension. In such cases, it is clear that the shock absorbers which may be effective in damping heave oscillations have little effect on roll oscillations. Therefore, wind gusts and roadway unevenness may cause large swaying oscillations. In this paper, to improve the stability for the high center of gravity vehicles a control scheme to augment the damping of the roll mode is proposed. As the feedback signals needed to provide damping of the roll motion, the front or rear steer angles or both are chosen because they are very related to roll motion. The scheme is effective from moderate to high speeds and stabilizes the roll mode without introducing disturbance moments from roadway unevenness as shock absorbers do. The validity on the proposed method is verified through the computer simulation.

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Estimation of Weight Parameters for Small Fishing Vessels in Accordance with Loading Conditions (소형 어선의 재화상태를 고려한 중량 정보 추정 기법)

  • Kim, Dong Jin;Yeo, Dong Jin
    • Journal of Navigation and Port Research
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    • v.43 no.1
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    • pp.16-22
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    • 2019
  • This study proposed estimation methods for weight and center of gravity of small fishing vessels. Weights loaded on small fishing vessels were divided into fixed weights such as crew, fishing gear, and variable weights such as fuel, fresh water, provision, bait, and fish. Based on statistical analyses with weight data of several small fishing vessels, weight, longitudinal center of gravity (LCG), vertical center of gravity (KG) of each item were represented as linear functions of vessel gross tonnage. In addition, weighting factors of variable weights were added on estimation formulas in accordance with vessel loading conditions, e.g. full load departure condition. Estimation methods were verified using actual small fishing vessel data.

On a Quantization and Rate-Control in H.263 Video Coder using Fuzzy Reasoning (퍼지 추론을 이용한 H.263 양자화 및 비율제어)

  • 허진원;신경철;최귀열;이광형
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.717-720
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    • 2000
  • H.263의 시험모델인 TMN5를 최대한 적용하여 실험하였으며 분산, 엔트로피, 움직임 크기 등의 퍼지변수를 데이터 영역에서 추출하여 퍼지화하였다. 소속함수를 계산하기 위해 최소값으로 가장 분명한 퍼지값을 추출하였으며 퍼지집합을 위해서는 각 소속함수로부터의 요소를 더하는 의미에서 최대값을 선택하였다. 무게중심기법을 이용하여 최종 퍼지감도를 구하여 TMN5에 부가하였다.

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Tracking Multiple Objects Using Appearance based Object Segmentation (외형정보 기반의 객체 분할을 이용한 다중 객체 추적)

  • Kim, Eun-Ju;Kim, Young-Ju
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.10a
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    • pp.751-754
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    • 2001
  • 본 논문에서는 외형 정보 기반의 객체 정보 분할을 이용한 다중객체 추적을 다룬다. 일반적인 다중객체 추적 시스템은 움직임이 탐지된 다중 객체에 대한 외형(appearance) 정보를 이용하여 비강체를 정의하고, 객체의 일부 특징점이나 무게 중심점을 이용한 추적을 통해 객체간의 중첩(occlusion)이나 객체 분리(split) 등의 문제에 초점을 맞춘다. 무게 중심점 등을 이용한 추적은 장시간 추적하는 경우, 즉 움직임 방향 전환이 발생하는 경우에는 정확하고 매끄러운 추적이 불가능하다. 본 논문에서는 이러한 문제를 해결하기 위해 어파인 구조를 이용한 개별 객체 추적 기법을 적용하되, 객체에 대한 외형 정보를 바탕으로 객체 분리 및 객체별 어파인 구조 변환을 감지하여 정확하고 매끄럽게 다중 객체를 추적하는 알고리즘을 제안하고 성능을 분석한다.

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Mosaics using Adaptive Tile Size (적응적 타일크기를 이용한 모자이크)

  • Han, Myoung-Hun;Yoon, Kyung-Hyun
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10b
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    • pp.167-171
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    • 2007
  • 본 논문에서는 타일의 크기를 적응적으로 결정하는 모자이크 방법을 제안한다. 우리는 이미지에서 에지(Edge)를 추출한 뒤, 결과 영상이 이 에지 정보를 보존하고, 각 타일들이 이 에지를 따르도록 한다. 에지 정보를 보존 하기 위하여 무게중심 보로노이 다이어그램(CVD: Centroidal Voronoi Diagram)을 계산할때 에지 회피기법을 적용하며, 에지를 따르는 타일을 생성하기 위하여 에지를 따르는 방향과 맨해튼 거리(manhattan distance)가 적용된 무게중심 보로노이 다이어그램을 사용한다. 이때, 우리는 그래픽 처리 장치(GPU: Graphics Processing Unit)를 이용하여 방향맵이나 보로노이 다이어그램을 더욱 빠르게 구할 수 있다. 우리는 타일의 크기를 각 보로노이 영역의 넓이에 비례하게 정함으로써, 기존의 모자이크 방법들이 해결하고자 했던 타일의 겹침 문제와 타일간의 빈 공간 문제를 개선하였다.

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A Method of Hand Recognition for Virtual Hand Control of Virtual Reality Game Environment (가상 현실 게임 환경에서의 가상 손 제어를 위한 사용자 손 인식 방법)

  • Kim, Boo-Nyon;Kim, Jong-Ho;Kim, Tae-Young
    • Journal of Korea Game Society
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    • v.10 no.2
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    • pp.49-56
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    • 2010
  • In this paper, we propose a control method of virtual hand by the recognition of a user's hand in the virtual reality game environment. We display virtual hand on the game screen after getting the information of the user's hand movement and the direction thru input images by camera. We can utilize the movement of a user's hand as an input interface for virtual hand to select and move the object. As a hand recognition method based on the vision technology, the proposed method transforms input image from RGB color space to HSV color space, then segments the hand area using double threshold of H, S value and connected component analysis. Next, The center of gravity of the hand area can be calculated by 0 and 1 moment implementation of the segmented area. Since the center of gravity is positioned onto the center of the hand, the further apart pixels from the center of the gravity among the pixels in the segmented image can be recognized as fingertips. Finally, the axis of the hand is obtained as the vector of the center of gravity and the fingertips. In order to increase recognition stability and performance the method using a history buffer and a bounding box is also shown. The experiments on various input images show that our hand recognition method provides high level of accuracy and relatively fast stable results.

Dynamic Stability Analysis of Floating Transport Wind-Turbine Foundation Considering Internal Fluid Sloshing Effect (내부 유체 슬로싱 효과를 고려한 부유이송 해상풍력 기초의 동적 안정성 해석)

  • Hong, Seokjin;Kim, Donghyun;Kang, Sinwook;Kang, Keumseok
    • KEPCO Journal on Electric Power and Energy
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    • v.2 no.3
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    • pp.461-467
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    • 2016
  • In order to install the floating transport type wind-turbine foundation, water pumping is used to sink the foundation. During this process, its mass and center of gravity, and buoyancy center become continuously changed so that the dynamic stability of the floating foundation become unstable. Dynamic stability analysis of the floating foundation is a complex problem since it should take into account not only the environmental wave, wind, and current loads but also its weight change effect simultaneously considering six-degree-of-freedom motion. In this study, advanced numerical method based on the coupled computational fluid dynamics (CFD) and multi-body dynamics (MBD) approach has been applied to the dynamic stability analysis of the floating foundation. The sloshing effect of foundation internal water is also considered and the floating dynamic characteristics are numerically investigated in detail.

Log-Polar Image Watermarking based on Invariant Centroid as Template (불변의 무게중심을 템플릿으로 이용한 대수-극 좌표계 영상 워터마킹 기법)

  • 김범수;유광훈;김우섭;곽동민;송영철;최재각;박길흠
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.3
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    • pp.341-351
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    • 2003
  • Digital image watermarking is the method that can protect the copyright of the image by embedding copyright information, which is called watermark. Watermarking must have robustness to intentional or unintentional data changing, called attack. The conventional watermarking schemes are robust to waveform attacks such as image compression, filtering etc. However, they are vulnerable to geometrical attacks such as rotation, scaling, translation, and cropping. Accordingly, this paper proposes new watermarking scheme that is robust to geometrical attacks by using invariant centroid. Invariant centroid is the gravity center of a central area in a gray scale image that remains unchanged even when the image is attacked by RST including cropping and proposed scheme uses invariant centroids of original and inverted image as the template. To make geometrically invariant domain, template and angle compensated Log -Polar Map(LPM) is used. Then Discrete Cosine Transform(DCT) is performed and the watermark is embedded into the DCT coefficients. Futhermore, to prevent a watermarked image from degrading due to interpolation during coordinate system conversion, only the image of the watermark signal is extracted and added to the original image. Experimental results show that the proposed scheme is especially robust to RST attacks including cropping.