• Title/Summary/Keyword: 위치갱신

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활동기준원가회계시스템구축을 위한 활동분석 방법에 관한 연구 -서비스업을 대상으로 하며 기존 기업자료를 이용한 활동분석-

  • 김준석;박상민;남호기;박주식
    • Proceedings of the Safety Management and Science Conference
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    • 2000.11a
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    • pp.63-71
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    • 2000
  • 대량생산체제를 위주로 했던 산업혁명 초기에는 원가계산방식이 비교적 수월하였다. 생산에 투입된 비용을 그대로 생산량으로 나누기만 하면 되었고 이 수치를 그대로 원가라고 간주하여도 기업이 존속하는데는 아무 영향이 없었다. 물론 이 때에도 간접비라는 것은 존재하였으나 그 비중이 미미했기에 이를 무시하여도 되었던 것이다. 그러나 그 때와 달리 지금은 기업환경은 다품종 소량생산, 고객 주문 생산 등의 다양한 형태로 변화되어 왔으며 유연생산시스템, 적시생산시스템 등과 같은 새로운 경영기법 및 생산관리 기법이 발달함에 따라 그간 무시되어 왔던 간접비가 오히려 직접비보다도 많아지는 현상이 생기게 되었다. 그래서 증가하는 간접비를 효과적으로 제품이나 서비스에 배부하여야 하는 필요성에서 연구가 시작되었고 그 결과로서 나온 원가계산방법이 활동기준원가계산시스템이다. 우리 나라에는 90년대 초반에 도입되어 여러기업이 시스템을 구축한 상태이며 이에 대한 사례를 연구한 논문도 발표되었다. 활동기준원가 계산시스템이 기존의 원가계산시스템보다 더 정교하다는 것은 많은 이미 많은 연구들에서 입증이 되었지만 그래도 실제 시스템의 구축에 있어서는 아직도 많은 연구과제가 남아있다. 본 연구는 시스템의 구축과정에서 핵심과정으로써 반드시 거쳐야 하는 활동분석단계에 관심을 두고 활동분석과정을 가능한 적은 비용으로 빠르게 수행하기 위한 방법을 모색하였다. 그 방법으로 선택한 것이 기존의 기업보유자료를 이용하여 활동분석을 수행하는 것으로 비록 활동분석데이터의 신뢰성에는 조금 부족한 면이 있을 수 있으나 기업보유자료가 활동분석과 개연성이 있음을 제시하고자 하였다. 한다.드가 전송한 패킷은 이전 셀 지역에 있는 에이전트가 새로운 셀 지역에 있는 이동 노드로 패킷을 재전송하여 전달하는 smooth 핸드오프 기능을 제공한다. 이전 셀 지역에 속한 외부 에이전트가 바인딩을 갱신하기 전에 송신 노드로부터 이동노드로 전달된 패킷이 있을 경우는 패킷을 저장하여 이후에 이동 노드의 위치 정보에 관한 바인딩 정보가 갱신되면 이러한 바인딩 정보에 따라 패킷을 재전송하는 버퍼기능도 제공한다. route optimization mobile IP는 기본적인 mobile IP에서의 복잡한 라우팅 문제를 해결하고, 핸드오프에서의 패킷 손실률을 최소화 한다.본 논문에서는 컴퓨터 시뮬레이션을 통해 smooth 핸드오프를 이용한 mobile IP의 성능을 분석한다. 일반적으로 데이터 트래픽 특성, 노드의 이동성, 바인딩 갱신시간, 버퍼관리 방법 등은 핸드오프 동안 mobile IP의 성능에 많은 영향을 미친다. 따라서 시뮬레이션 모델을 이용하여 다양한 트래픽 환경에서 위에 언급된 성능 파라미터들의 영향을 분석한다. 마지막으로 시뮬레이션 결과를 이용하여 mobile IP의 성능을 개선시키기 위한 방법을 제시한다. 제시하고자 한다.과로 여겨지며, 또한 혈청중의 ALT, ALP 및 LDH활성을 유의성있게 감소시키므로서 감잎 phenolic compounds가 에탄올에 의한 간세포 손상에 대한 해독 및 보호작용이 있는 것으로 사료된다.반적으로 홍삼 제조시 내공의 발생은 제조공정에서 나타나는 경우가 많으며, 내백의 경우는 홍삼으로 가공되면서 발생하는 경우가 있고, 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른

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Consideration of Silvicultural Practice by Taking Community Type of Pinus densiflora Stand (식생형을 고려한 소나무 임분의 조림적 고찰)

  • Lee, Kwang-Soo;Lee, Jung-Hyo;Kim, Suk-Kwon;Bae, Sang-Won;Jung, Mun-Ho
    • Korean Journal of Environment and Ecology
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    • v.23 no.1
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    • pp.56-65
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    • 2009
  • In Korea, Red pine(Pinus densiflora) stands at a very important place, historically, culturally, and emotionally and it is one of the tree species that can produce domestic timber as forest resources economically. The growing space for Red pine forest in Korea is gradually reducing while the space for deciduous tree forests including oak series is gradually increasing. Thus, it is required that the research work should be done on renewal for pine forest retention and its related forest management practices. This research aims at developing stable, sustainable management forests and inducing nature renewal by grasping growth environment and succession process through the pattern of stand and structure analysis of the red pine(Pinus densiflora) for central region. The pine forests in central region were classified into four communities, such as Acer pseudo-sibolianum, Quercus acutissima, Lindera erythrocarpa, and Pinus densiflora and they are showing different characteristics by pattern according to their growing district. There appeared a lot of red pines in the upper layer, but there existed high weight of broad-leaved forest tree species, such as oak series in the middle layer and the appearance of the red pine was meager in the lower layer. Therefore, it appears that the red pine has a high influential ecological strength in terms of correlativity; however, if the red pine in tree layer is dead by aging in nature state with the lapse of time, it is considered that oak species, such as Quercus mongolica, Quercus variabilis, and Quercus serrata will be dominant below sub-tree layer. In addition, there appear differences in characteristics and growth pattern of the red pine forest depending on stand pattern, so it is considered that a differential application method should be employed in the pine forest management.

Study of the ENC reduction considering Update (갱신을 고려한 전자해도 소형화 연구)

  • Shim, Woo-Seong;Park, Jae-Min;Suh, Sang-Hyun
    • Journal of Navigation and Port Research
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    • v.27 no.4
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    • pp.425-430
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    • 2003
  • The satellite navigation system is widely used for identifying a user's position regardless of weather or geographic conditions and also make effect on new technology of marine LBS(Location Based Service). which has the technology of geographic information such as the ENC. Generally, there are conceivable systems of marine LBS such as ECDIS, or ECS that use the ENC itself with powerful processor in installed type on ships bridge. Since the ENC is relatively heavy structure with dummy format for data transfer between different systems, we should reduce the ENC to small and compact size in order to use it in mobile platform. In this paper, we assumed that the mobile system like PDA, or Webpad can be used for small navigation or information system in marine field. We considered the reduction of the ENC size to make them fit well to small capability of mobile platform. However, the ENC should be updated periodically by update profile data produced by HO. If we would reduce the ENC without a consideration of update, we could not get newly updated data furthermore. As summary, we studied considerations for ENC reduction with update capability. It will make the ENC be useful in many low performance platforms for various applications.

Forward Vehicle Tracking Based on Weighted Multiple Instance Learning Equipped with Particle Filter (파티클 필터를 장착한 가중된 다중 인스턴스학습을 이용한 전방차량 추적)

  • Park, Keunho;Lee, Joonwhoan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.4
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    • pp.377-385
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    • 2015
  • This paper proposes a novel forward vehicle tracking algorithm based on the WMIL(Weighted Multiple Instance Learning) equipped with a particle filter. In the proposed algorithm Haar-like features are used to train a vehicle object detector to be tracked and the location of the object are obtained from the recognition result. In order to combine both the WMIL to construct the vehicle detector and the particle filter, the proposed algorithm updates the object location by executing the propagation, observation, estimation, and selection processes involved in particle filter instead of finding the credence map in the search area for every frame. The proposed algorithm inevitably increases the computation time because of the particle filter, but the tracking accuracy was highly improved compared to Ababoost, MIL(Multiple Instance Learning) and MIL-based ones so that the position error was 4.5 pixels in average for the videos of national high-way, express high-way, tunnel and urban paved road scene.

Non-Prior Training Active Feature Model-Based Object Tracking for Real-Time Surveillance Systems (실시간 감시 시스템을 위한 사전 무학습 능동 특징점 모델 기반 객체 추적)

  • 김상진;신정호;이성원;백준기
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.5
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    • pp.23-34
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    • 2004
  • In this paper we propose a feature point tracking algorithm using optical flow under non-prior taming active feature model (NPT-AFM). The proposed algorithm mainly focuses on analysis non-rigid objects[1], and provides real-time, robust tracking by NPT-AFM. NPT-AFM algorithm can be divided into two steps: (i) localization of an object-of-interest and (ii) prediction and correction of the object position by utilizing the inter-frame information. The localization step was realized by using a modified Shi-Tomasi's feature tracking algoriam[2] after motion-based segmentation. In the prediction-correction step, given feature points are continuously tracked by using optical flow method[3] and if a feature point cannot be properly tracked, temporal and spatial prediction schemes can be employed for that point until it becomes uncovered again. Feature points inside an object are estimated instead of its shape boundary, and are updated an element of the training set for AFH Experimental results, show that the proposed NPT-AFM-based algerian can robustly track non-rigid objects in real-time.

A System for Recognizing Sunglasses and a Mask of an ATM User (현금 인출기 사용자의 선글라스 및 마스크 인식 시스템)

  • Lim, Dong-Ak;Ko, Jae-Pil
    • Journal of Korea Multimedia Society
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    • v.11 no.1
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    • pp.34-43
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    • 2008
  • This paper presents a system for recognizing sunglasses and a mask of an ATM (Automatic Teller Machine) user. The proposed system extracts firstly facial contour, then from this extraction results it estimates the regions of eyes and mouth. Finally, it recognizes sunglasses and a mouth using Histogram Indexing based on those regions. We adopt a face shape model to be able to extract facial contour and to estimate the regions of eyes and mouth when those regions are occluded by sunglasses and a mask. To improve the fitting accuracy of the shame model, we adopt 2-step face detection method and conduct fitting several times by varying the initial position of the model instance. To achieve a good performance of the face detection method based on a background model, we enable the system to automatically update the background model. In experiment, we present some experiments on setting parameters of the system with images taken from in our laboratory, and demonstrate the results of recognizing sunglasses and a mask.

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Real-time Virtual View Synthesis using Virtual Viewpoint Disparity Estimation and Convergence Check (가상 변이맵 탐색과 수렴 조건 판단을 이용한 실시간 가상시점 생성 방법)

  • Shin, In-Yong;Ho, Yo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.1A
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    • pp.57-63
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    • 2012
  • In this paper, we propose a real-time view interpolation method using virtual viewpoint disparity estimation and convergence check. For the real-time process, we estimate a disparity map at the virtual viewpoint from stereo images using the belief propagation method. This method needs only one disparity map, compared to the conventional methods that need two disparity maps. In the view synthesis part, we warp pixels from the reference images to the virtual viewpoint image using the disparity map at the virtual viewpoint. For real-time acceleration, we utilize a high speed GPU parallel programming, called CUDA. As a result, we can interpolate virtual viewpoint images in real-time.

Topographic Mapping using SAR Interferometry Method (레이다 간섭기법(SAR Interferometry)을 이용한 지형도 제작)

  • Jeong, Do-Chan;Kim, Byung-Guk
    • 한국공간정보시스템학회:학술대회논문집
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    • 2000.06a
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    • pp.67-76
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    • 2000
  • Recently, SAR Interferometry method is actively being studied as a new technic in topographic mapping using satellite imageries. it extract height values using two SAR imageries covering same areas. Unlike when using SPOT imageries, it isn't affected by atmospheric conditions and time. But it is difficult to process radar imageries and the height accuracy is very low where relief displacements are high. In this study, we produced DEM(Digital Elevation Model) using ERS-1, ERS-2 tandem data and analysed the height accuracy over 14 ground control points. The mean error in height was 14.06m. But when using airborne SAR data, it Is expected that we can produce more accurate DEM which will be able to ue used in updating 1/10,000 or 1/25,000 map.

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A New Dynamic Paging Mechanism for HMIPv6 Networks (HMIPv6환경에서 새로운 동적 페이징 기법)

  • Jeong, Yu-Jin;Choe, Jong-Won
    • Journal of KIISE:Information Networking
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    • v.32 no.6
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    • pp.687-695
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    • 2005
  • With increasing demand of using mobile Internet, HMIPv6 is proposed by IETF to reduce location management traffics due to micro mobility and to provide IP-based movement. A paging mechanism combined with HMIPv6 can reduce the signaling traffics of a mobile node. We propose a dynamic paging mechanism in HMIPv6 which decides an optimal paging area for each mobile node by considering its characteristics. Total costs of a static paging mechanism and a dynamic paging mechanism are analyzed by mathematical formulas. As a result, we proved that the dynamic paging mechanism reduced total signal traffic costs more than a static paging mechanism.

A Study on Automatic Detection of Speed Bump by using Mathematical Morphology Image Filters while Driving (수학적 형태학 처리를 통한 주행 중 과속 방지턱 자동 탐지 방안)

  • Joo, Yong Jin;Hahm, Chang Hahk
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.3
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    • pp.55-62
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    • 2013
  • This paper aims to detect Speed Bump by using Omni-directional Camera and to suggest Real-time update scheme of Speed Bump through Vision Based Approach. In order to detect Speed Bump from sequence of camera images, noise should be removed as well as spot estimated as shape and pattern for speed bump should be detected first. Now that speed bump has a regular form of white and yellow area, we extracted speed bump on the road by applying erosion and dilation morphological operations and by using the HSV color model. By collecting huge panoramic images from the camera, we are able to detect the target object and to calculate the distance through GPS log data. Last but not least, we evaluated accuracy of obtained result and detection algorithm by implementing SLAMS (Simultaneous Localization and Mapping system).