• Title/Summary/Keyword: 방향성 확장

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Optimization of field Application Conditions of the Multistage Convergent Photographing Technique for the Measurement of Joint Orientation on Rock Slope (암반사면 절리의 방향성 측정을 위한 수렴다중촬영기법의 현장 적용성 연구)

  • Kim, Jong-Hoon;Kim, Jae-Dong
    • Tunnel and Underground Space
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    • v.19 no.1
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    • pp.31-42
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    • 2009
  • One set of hardware system of guide point method (GP method), modified from the multistage convergent photographing technique, was developed to interpret the geometrical characteristics of Joints photogrammetrically on rock slope. Before the field application of the hardware system, the level of errors and constraints that ran be acceptable in the field measurement has been severely investigated in the laboratory and the optimum photographing scheme was analyzed. The range of the most suitable convergence angle between two cameras was $25^{\circ}{\sim}150^{\circ}$ and the photographing distance was about 5.5 m when using a 2 M pixel digital camera. An extended analyzing technique, which was newly developed in this study, was applied to the field measurement to magnify the benefits of GP method. This technique can be applied when survey for the wide range of rock surface is necessary. The global coordinates of ground control points for the neighbor photographing area ran be introduced without any preparation from the previous photographed area using this technique. It could reduce phographing time in the field.

A Method for Recovering Text Regions in Video using Extended Block Matching and Region Compensation (확장적 블록 정합 방법과 영역 보상법을 이용한 비디오 문자 영역 복원 방법)

  • 전병태;배영래
    • Journal of KIISE:Software and Applications
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    • v.29 no.11
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    • pp.767-774
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    • 2002
  • Conventional research on image restoration has focused on restoring degraded images resulting from image formation, storage and communication, mainly in the signal processing field. Related research on recovering original image information of caption regions includes a method using BMA(block matching algorithm). The method has problem with frequent incorrect matching and propagating the errors by incorrect matching. Moreover, it is impossible to recover the frames between two scene changes when scene changes occur more than twice. In this paper, we propose a method for recovering original images using EBMA(Extended Block Matching Algorithm) and a region compensation method. To use it in original image recovery, the method extracts a priori knowledge such as information about scene changes, camera motion and caption regions. The method decides the direction of recovery using the extracted caption information(the start and end frames of a caption) and scene change information. According to the direction of recovery, the recovery is performed in units of character components using EBMA and the region compensation method. Experimental results show that EBMA results in good recovery regardless of the speed of moving object and complexity of background in video. The region compensation method recovered original images successfully, when there is no information about the original image to refer to.

블록체인 Layer 2 스케일링 솔루션의 기술 동향 분석

  • Sungbeen Kim;Dohoon Kim
    • Review of KIISC
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    • v.34 no.1
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    • pp.7-13
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    • 2024
  • 블록체인 기술이 발전됨에 따라서 확장성의 보장과 향상을 위한 다양한 기술이 연구 및 개발되고있다. 기존에는 Layer 1에서의 확장성을 주로 연구하는 추세였지만, 현재 Layer 2의 등장으로 인하여, 보다 빠르고 효율적으로 트랜잭션을 처리 및 기록하고, 더 낮은 거래 비용을 제공하는 기술로 발전하였다. 따라서 본 논문에서는 Layer 2 스케일링 솔루션의 최신 동향을 조사하고 현재 기술 개발 사례를 탐색한다. 예를 들어 스테이트 채널, 사이드 체인, 롤업 등을 분석하고, 각 기술의 장단점과 특성을 검토한다. 또한, 이러한 솔루션들이 현재 활용되고 있는 상태와 향후 블록체인 네트워크에서 어떤 역할을 할 수 있는지에 대해 논의한다. 본 논문은 블록체인 네트워크의 확장성과 성능 향상을 위한 접근 방법과 기술적 한계점을 탐색함으로써, 블록체인 기술의 발전 방향과 관련하여 심도높은 이해를 제공한다.

Indexing of Moving Objects Based on Uncertainty for Telematics (텔레매틱스를 위한 불확실성 기반의 이동체 색인)

  • 진희규;김동현;임덕성;조대수;홍봉희
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.100-102
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    • 2004
  • 속도와 방향이 바뀔 때마다 이동체의 위치를 보고하는 TPR-tree는 이동체의 위치를 예측하는 오차가 적다. 그러나 긴 시간 간격으로 이동체의 위치를 보고하면 위치 예측의 불확실성이 높아져서 위치 예측의 오차값이 증가한다. 불화실성이 높은 이동체를 TPR-tree에 적용할 때 이동체의 위치 정보를 갱신하기 위한 색인 검색 비용이 증가하고, 질의 결과의 정확도가 낮아지는 문제가 발생한다. 이 논문에서는 긴 시간 간격으로 이동체 위치를 보고할 때 발생하는 이동체 위치의 불확실성을 고려하기 위해서 불확실성 영역(uncertainty region)을 이용한 확장 TPR-tree를 제시한다. 불확실성이 높은 이동체의 위치 데이터를 처리하기 위해서 이동체의 이동 가능한 영역을 위치 예측의 오차 값을 이용하여 계산한 불확실성 영역을 설정하고, 검색을 위하여 노드외 BR을 계산할 때 불확실성 영역을 이용하여 BR을 확장한다.

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Design of Edge Detection Algorithm Based on Adaptive Directional Derivative (적응성 방향 미분에 의한 에지 검출기의 설계 및 평가)

  • Kim, Eun-Mi
    • Journal of Korea Multimedia Society
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    • v.8 no.10
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    • pp.1329-1336
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    • 2005
  • We propose an optimal edge detection algorithm adaptive to the various widths of edges. In order to construct this algorithm, we introduce an alternative definition of edge point and generalize the directional derivatives in the pixel space to obtain an extended directional derivatives beyond scaling. The result from applying our algorithm to a 2D image is analyzed comparing to that from the other algorithm.

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Consideration and Research of Bitcoin-NG Protocol Considering Scalability (확장성이 고려 된 Bitcoin-NG 프로토콜 고찰 및 연구)

  • Kim, Soo Hyeon;Cha, Jeong Hun;Park, Jong Hyuk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.05a
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    • pp.242-245
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    • 2020
  • 최근 IT 기술의 발전에 따라 블록체인 기술과 융합하려는 다양한 시도를 보인다. 비트코인(Bitcoin)의 탄생으로 알려지게 된 블록체인은 P2P (Peer-to-Peer) 네트워크에서 데이터의 무결성 조건을 만족할 수 있게 되면서 보안 기술에 대해 많은 연구가 진행 중이다. 데이터의 무결성을 증명하기 위해 합의 알고리즘을 사용하는데 합의 알고리즘의 처리속도 및 저장 공간 문제 등으로 인해 다른 분야로 확장에 어려움을 겪고 있다. 따라서 블록체인을 구성하는 환경이나 목표에 따라서 적절한 합의 알고리즘을 선택하는 것이 중요하다. 본 논문에서는 확장성 문제를 해결할 수 있는 Bitcoin-NG 합의 알고리즘을 비롯하여 다양한 합의 알고리즘의 원리와 장단점을 소개한다. 블록의 합의에 참여하는 범위, 리더를 선정하는 방법 등의 기준으로 Bitcoin-NG 알고리즘이 확장성 문제에 긍정적인 합의 알고리즘으로서 갖춘 특징을 살펴 보고 앞으로 합의 알고리즘의 발전 방향에 대해 고찰한다.

Mobile Phone and Extension of Human Communication (이동전화와 인간 커뮤니케이션의 확장)

  • Song, Chong-Hyun
    • Korean journal of communication and information
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    • v.27
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    • pp.183-212
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    • 2004
  • Mobile phone media have extended the terrain of human communication. Starting from the notion of McLuhan, this study suggests that the extension of human communication is a concept of multiple dimension, such as 'extension of function' and 'extension of ego' Mobile phone speed the pare and efficiency of life, but also allow more flexibility at business and professional levels as well as family and personal life. On the other hand, mobile phone is also conceived as a personality kit, that is as a symbol of user's identity. So we ran classify the mobile phone users as a typology of motivation. Group I, entitled 'hyper-coordination', has high instrumental and high expressive motivation. Group II(='instrumental') is high instrumental but low expressive. Group III(='expressive') is low instrumental and high expressive, and Group IV(='minimal') is low in both instrumentality and expressiveness of mobile phone use. Then would the hyper-coordination group have different usage pattern with the other groups? A sample of 482 university students completed survey questionnaire. , which states hyper-coordination group would most frequently make calls and text, and have largest extensity and variety of usage, is supported statistically. states that hyper-coordination group would have larger and deeper social network than the other groups. This hypothesis is also supported with statistics.

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Modeling of Distance Localization by Using an Extended Auditory Parallax Model (확장된 음향적 시차 모델을 이용한 음상 거리정위의 모델화)

  • 김해영
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.1
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    • pp.30-39
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    • 2004
  • This study aims at establishing a digital signal processing technique to control 3-D sound localization, especially focusing our ores on the role of information provided by Head-Related Transfer Function (HRTF). In order to clarify the cues to control the auditory distance perception, two conventional models named Hirsch-Tahara model and auditory parallax model were examined. As a result, it was shown that both models have limitations to universally explain the auditory distance perception. Hence, the auditory parallax model was extended so as to apply in broader cases of auditory distance perception. The results of the experiment by simulating HRTFs based on the extended parallax model showed that the cues provided by the new model were almost sufficient to control the perception of auditory distance from an actual sound source located within about 2m.

Boundary Extension of Inverted Scenes (상하 반전된 장면의 테두리 확장)

  • Kong, Jin-Gi;Yi, Do-Joon
    • Korean Journal of Cognitive Science
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    • v.22 no.2
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    • pp.173-192
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    • 2011
  • The visual system applies previously learned contextual knowledge to facilitate the perception and encoding of scenes. When extrapolation following the employment of contextual information occurs, it sometimes leads to scene memory distortion: people report as if they saw more than they actually had seen. This phenomenon is called the "boundary extension" effect (Intraub & Richardson, 1989). The present study aimed to clarify the effects of contextual information on boundary extension in a more systematic way. Based on the assumption that it is harder to extract contextual information from inverted scenes compared to intact scenes, we presented inverted scenes either during encoding or retrieval to manipulate the level of contextual information and compared the magnitude of boundary extension effect for upright versus inverted scenes. In a series of experiments, we found that scene inversion during encoding, but not during retrieval, significantly reduced boundary extension. Showing reduced memory distortion for inverted scenes, the current study directly demonstrated that access to contextual information is a critical component of scene extrapolation process.

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A Face Detection Method using Gradual Expansion of Skin Color Range (피부색 범위의 점진적 확장에 의한 얼굴 검출 방법)

  • 문대성;한영미;김민환
    • Journal of Korea Multimedia Society
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    • v.4 no.5
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    • pp.396-405
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    • 2001
  • Usually it is difficult to extract facial regions in a complex image by using only a predetermined skin color. Expecially, it is more difficult to separate them from background regions that contains the skin color. This paper proposes a face detection method by using gradual range expansion of an initial skin color. By analyzing the skin color distribution several images that are collected in the Web, the range of dense distribution is selected as the range of the initial skin color. In each expanding step, expanded regions in the image are tested whether they can be actual facial regions by using the information of the shape of general face and the location of face organs. The shape of general face is modeled as an ellipse and the aspect ratio of its bounding box is used to define the shape constraint for faces. Only the eyes and lips are used as the face organs, which can be easily detected by extracting horizontal edges in the expanded regions. through several experiments, it is confirmed that the proposed method can detect exactly not only faces having partly distorted regions by highlight but also faces neighboring similar color regions.

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