• Journal of Korean Society of Forest Science
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• v.109 no.3
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• pp.291-299
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• 2020

The purpose of this study was to propose the most cost-effective sampling method, by analyzing the cost of forest resource investigation per sampling method for the planned harvesting area of in Chunyang-myeon, Byeonghwa-gun, Gyeongsangbuk-do, Korea. For this study, three sampling methods were selected: random sampling method, systematic sampling method, and line transect method. For each method, sample size, hourly wage, number of sample points, survey time, travel time, the sample error rate of the estimated average volume, and the desired sampling error rate were used to calculate the cost of forest resource inventories. Thus, 10 sampling points were extracted for each sampling method, and the factors required for cost analysis were calculated via a field survey. As a result, the field survey cost per ha using the random sampling method was found to be have the lowest cost, regardless of the desired sampling error rate, followed by the systematic sampling method, and the line transect method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.304-308
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• 2005

본 연구는 발포수지 공정에 사용되는 가스벤트를 신발중창 금형에 자동으로 교환하는 장치에 관한 것이다. 가스벤트는 폴리우레탄과 같은 소재를 이용한 신발 미드솔 발포시 발생되는 가스를 제거하기 위한 다공질 소자로서 신발금형 상부에 삽입된다. 가스벤트는 소모성 부품으로 일정주기마다 교환이 필요하나 작업공정상 수작업에 어려움이 많아 자동화된 교환시스템이 요구된다. 하지만 삽입되는 신발중창 금형과 가스벤트간은 유격이 거의 없으므로 본 연구에서는 신발 중창 금형의 손상을 방지하고 보다 신속한 교환을 위해 가스벤트 삽입 및 추출 홈의 위치정보를 영상을 통해서 구하고, 얻어진 영상에 대한 위치 데이터를 기계적 위치 추적 시스템의 데이터로 피드백 하여 홀의 중심 위치에서 가스벤트를 삽입 및 추출하여 자동으로 교환하는 장치를 구현하였다. 영상 처리는 패턴 매칭 기법을 이용하여 홀의 중심점을 구하였고, 이를 PLC로 전송하여 기계 작동 제어 및 XY플로터를 정밀 제어하여 공정이 진행되게 하였다.

• Spatial Information Research
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• v.3 no.2
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• pp.103-121
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• 1995

The purpose of this study is to extract the main locational factors to affect the location of Convenience Stores (CVS) in Songpa Gu, Seoul by using Geographic Information Systems. The procedure of research has three steps. First, the spatial distribution of CVS in Korea is analyzed by the places and time. Second, the main locational factors to affect the location of CVS in Songpa Gu are extracted. Finally, the potential locational zones where are selected by extracted locational factors are compared with the actual distribution of CVS in Songpa Gu. The main locational factors to affect the location of CVS include factors of the numbers geocoding method in GIS, it can be idenified that the 58 stores are located in the potential locational zone. However, this study has limitation to extract potential locational zones in detail. There are still difficulties to collect appropriate data for land use buildings as well as data for consumer behavior and regional characteristics itself.

• Monthly Duck's Village
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• s.68
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• pp.68-69
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• 2009

국립수의과학검역원은 30일 식육가공품(식육추출가공품)에 대한 HACCP평가기준과 HACCP적용 작업장의 지정변경사항 중 소재지변경을 추가하는 축산물위해요소중점관리기준(검역원고시 제2008-28호)을 개정했다고 밝혔다. 식육추출가공품 HACCP 평가기준은 2008년 3월부터 학계, 협회, 업계, 공무원 등 전문가를 중심으로 T/F팀을 구성하여 현장실태조사, 실무 및 전문가 협의회 등을 통해 개발됐으며 HACCP적용 작업장 지정 변경사항의 경우에도 현행 중요관리점 회사명 대표자 변경 등에 한하여 변경지정이 허용되고 있었으나, 이번 개정고시에서는 불가피하게 HACCP적용 작업장이 소재지를 이전하는 경우에도 HACCP관리의 지속성을 감안하여 지정변경이 가능하도록 반영했다. 소재지 변경의 경우 무분별한 소재지변경에 따른 HACCP 수준저하문제가 발생하지 않도록 하기 위하여 작업장의 현장실사를 실시하고 소재지 변경이 완료되기 전까지는 HACCP 로고를 사용하지 못하도록 하는 조치도 함께 마련됐다. 검역원은 이번 식육추출가공품 HACCP 평가기준 개발과 HACCP 적용 작업장의 소재지 지정변경 인정으로 축산물 가공품 안전성 확보와 HACCP 제도가 더욱 활성화 되어 국민보건 향상에 기여할 것이 기대된다고 밝혔다.

• Korean Journal of Food Science and Technology
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• v.51 no.4
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• pp.348-355
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• 2019

This study investigated the impact of cellulase treatment on the extraction yield of potato starch (PS), and compared the physicochemical properties of PS by conventional (CSE) and enzymatic (ESE) starch extraction. In ESE, the PS extraction yield was predominantly influenced by reaction temperature, time and their interaction, compared to the cellulase concentration. When potatoes were treated for 8 h at $40^{\circ}C$ with 1.5% cellulase, the PS extraction yield was about 3.4-fold higher than that by CSE. Compared to CSE-PS, ESE-PS showed lower total starch contents and higher amylose contents, resulting in lower swelling factors and distorted pasting viscosity profiles accompanied by absence of peak and breakdown viscosities. However, ESE did not affect the gelatinization characteristics of PS. Overall results suggested that ESE can provide the highest yield of PS, and ESE-PS can be a potential starch source for extending the utilization of PS in food industries.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.3
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• pp.1-10
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• 2008

An occupancy map is a representation methodology describing the region occupied by objects in 3D space, which can be utilized for autonomous navigation and object recognition. In this paper, we describe a technique for building an occupancy map using depth data extracted from stereo images. In addition, some techniques are proposed for utilizing the occupancy map for the segmentation of object regions. After the geometric information on the ground plane is extracted from a disparity image, the occupancy map is constructed by projecting each matched point to the ground plane-based 3D space. We explain techniques for extracting moving object regions using the occupancy map and present experimental results using real stereo images.

• Journal of Korean Tunnelling and Underground Space Association
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• v.12 no.3
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• pp.239-245
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• 2010

The present study is about an efficient extraction of tunnel cross sections from huge point cloud achieved by a terrestrial laser scanner. A method, using a hash-based data structure, is introduced, by which point clouds, potentially composing cross sections, are extracted along a tunnel center line. The center line is estimated by linking points which are drawn in the middle of pseudo cross sections based on the hash-based data structure. Point clouds of a same thickness are extracted at a same interval along the center line. In result, it took less than 3 seconds and 124 MB of memory to extract, out of the 7.5 million points, the point clouds of 1 m interval and 0.1 m thickness. A manual operation, however, was needed to fix the outliers on the center line and to select both start and end points on it.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.1
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• pp.70-76
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• 2002

In this paper, we proposed a personal identification algorithm using the iris region which has discriminant features. First, we acquired the eye image with the black and white CCD camera and extracted the iris region by using a circular edge detector which minimizes the search space for real center and radius of the iris. And then, we localized the iris region into several circles and extracted the features by filtering signals on the perimeters of circles with one dimensional Gabor filter We identified a person by comparing ,correlation values of input signals with the registered signals. We also decided threshold value minimizing average error rate for FRR(Type I)error rate and FAR(Type II)error rate. Experimental results show that proposed algorithm has average error rate less than 5.2%.

• Journal of KIISE:Software and Applications
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• v.29 no.3
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• pp.202-210
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• 2002

During the last few years, the extraction and reconstruction of the blood vessels in the medical image has been actively researched and the analysis for the retinal vessel structure has provided important information for diagnosis and remedy of the retinopathy patients. In this research, we propose the algorithm that tracks automatically the entire retinal vessel in retinal image acquired by the ICG(IndoCyanine Green) technology. This algorithm extracts contours and centers by estimating the local maxima and processing directions and detects bifurcations and junctions by comparing direction components of the local maxima from the gradient magnitude profile of each blood vessel. We present experimental results that the entire blood vessel is automatically reconstructed and is excellent in accuracy and connectivity after applying our algorithm to the ICG retinal images of patients.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.17-24
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• 2010

This paper proposed the method to separate a liver into left and right liver lobes for exact volumetry of the river graft at abdominal MDCT(Multi-Detector Computed Tomography) image before living donor liver transplantation. On the image of segmented liver, 4 points(the middle point of Inferior Vena Cava, a point of Middle Hepatic Vein, a point of Portal Vein, a middle point of gallbladder fossa) are selected. A liver is separated into left and right liver lobes on the basis of the 4 points. The volume and ratio of the river graft are estimated. The volume estimated using 4 points and the manual volume that radiologist processed and estimated are compared with the weight measured during surgery to support proof of the exact volumetry. After selection the 4 points, the time involved in separation a liver into left and right river lobe and volumetry of them is measured for confirmation that the algorithm can be used on real time during surgery. This study progressed to ensure donor's and recipient's safe who will undergo the liver transplantation.