• Title/Summary/Keyword: 이상수

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Effect of Radiotherapy on Chromosomal Aberration in Cancer Patients (암환자에서 방사선치료에의한 염색체이상)

  • Chun, Ha-Chung;Lee, Myung-Za;Yoo, Myung-Soo
    • Radiation Oncology Journal
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    • v.11 no.1
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    • pp.43-50
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    • 1993
  • We evaluated frequency and types of chromosomal aberrations by ionizing radiation in cancer patients treated with radiotherapy in our institution. Twenty-five patients with various types of carcinomas such as lung, uterine cervix, esophagus, rectum, head and neck and pancreatic cancers were studied immediately before and after external beam radiotherapy. The frequency of aberrant metaphase prior to treatment was $4.93{\%}$, which was higher than that of control group. Especially in lung cancer, the freuqency of aberrant metaphase was three times higher than control group. A comparison of chromosomal abnormalities observed before and after radiotherapy demonstrated that proportion of aberrant rnetaphases was significantly inreased to $22.13{\%}$. Major chromosomal aberrations like structural abnormalities showed remarkalbe increase from 65.45 to $88.45{\%}$ after the treatment. Also the numbers of chromosomal alterations per cell were increased by a factor of 6.5. Aberrations with two or more break points were more prominently increased, compared with aberrations with single break point. The number of chromosomal break points was noted to be higher than expected value in No.1, 3, 8 and 11 chromosomes and lower in No.13, 15, 17 and 21 chromosomes. Based on this study, we believe that the distribution of chromosomal breakage is related with gene and chromosomal rearrangement which could result in the development of cancers.

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Re-coloring Methods using the HSV Color Space for people with the Red-green Color Vision Deficiency (적록 색각 이상자를 위한 HSV색공간을 이용한 색변환 기법)

  • Kim, Hyun-Ji;Cho, Jae-Young;Ko, Sung-Jea
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.3
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    • pp.91-101
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    • 2013
  • This paper proposes a new re-coloring method for the people with the red-green color vision deficiency (CVD). These people have difficulty in discriminating the red and green colors since they abnormally perceive the hue and luminance value of the colors. We introduce a color transformation that adjusts the hue and luminance value in HSV color space. The color transformation is determined according to the severity of CVD. Our aim is to maintain the color differences in original image while maintaining the recolored image to be natural to the people with normal color vision. Experimental results show that the proposed method can yield more comprehensible images for the people with red-green CVD while maintaining the naturalness of the recolored images.

A Study on the Simple Criteria to distinguish being or not facilities of Consultation about Energy Use Plan (에너지사용계획 협의대상 시설여부를 판별하기 위한 간편한 기준에 관한 연구)

  • Suh, Kwang-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.10
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    • pp.4704-4710
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    • 2011
  • In order to set the simple criteria to distinguish being or not facilities of Consultation about Energy Use Plan, data analysis and case analysis were carried out. This paper proposes that building, one of the facilities, is being object of the Consultation about Energy Use Plan when in the public project, its gross area is more than 75,000 $m^2$ or main transformer capacity is more than 9,000 kVA and when in the private project, its gross area is more than 100,000 $m^2$ or main transformer capacity is more than 11,500 kVA. Also shows that factory, another of the facilities, is being object when in the private project, its main transformer capacity is more than 6,000 kVA or boiler capacity is more than 24 ton/h and when in the public project, its main transformer capacity is more than 3,000 kVA or boiler capacity is more than 12 ton/h.

Application of Discrete Wavelet Transforms to Identify Unknown Attacks in Anomaly Detection Analysis (이상 탐지 분석에서 알려지지 않는 공격을 식별하기 위한 이산 웨이블릿 변환 적용 연구)

  • Kim, Dong-Wook;Shin, Gun-Yoon;Yun, Ji-Young;Kim, Sang-Soo;Han, Myung-Mook
    • Journal of Internet Computing and Services
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    • v.22 no.3
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    • pp.45-52
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    • 2021
  • Although many studies have been conducted to identify unknown attacks in cyber security intrusion detection systems, studies based on outliers are attracting attention. Accordingly, we identify outliers by defining categories for unknown attacks. The unknown attacks were investigated in two categories: first, there are factors that generate variant attacks, and second, studies that classify them into new types. We have conducted outlier studies that can identify similar data, such as variants, in the category of studies that generate variant attacks. The big problem of identifying anomalies in the intrusion detection system is that normal and aggressive behavior share the same space. For this, we applied a technique that can be divided into clear types for normal and attack by discrete wavelet transformation and detected anomalies. As a result, we confirmed that the outliers can be identified through One-Class SVM in the data reconstructed by discrete wavelet transform.

Outlier detection for multivariate long memory processes (다변량 장기 종속 시계열에서의 이상점 탐지)

  • Kim, Kyunghee;Yu, Seungyeon;Baek, Changryong
    • The Korean Journal of Applied Statistics
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    • v.35 no.3
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    • pp.395-406
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    • 2022
  • This paper studies the outlier detection method for multivariate long memory time series. The existing outlier detection methods are based on a short memory VARMA model, so they are not suitable for multivariate long memory time series. It is because higher order of autoregressive model is necessary to account for long memory, however, it can also induce estimation instability as the number of parameter increases. To resolve this issue, we propose outlier detection methods based on the VHAR structure. We also adapt the robust estimation method to estimate VHAR coefficients more efficiently. Our simulation results show that our proposed method performs well in detecting outliers in multivariate long memory time series. Empirical analysis with stock index shows RVHAR model finds additional outliers that existing model does not detect.

공중합법을 이용한 PET의 개질

  • 이상철;민병길;윤관한;김창환;이형욱;손태원
    • Proceedings of the Korean Fiber Society Conference
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    • 1998.10a
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    • pp.70-74
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    • 1998
  • 최근 PET filament를 5,000m/min 이상의 고속방사법으로 생산하는 것이 기업체에서 점차 일반화되어 가는 추세를 보이고 있는데, 고속방사법의 장점으로는 공정이 단순해지고 생산성을 올릴 수 있기 때문에 에너지와 인력비용을 절감할 수 있을 뿐 만 아니라, 고속방사법으로 제조된 PET 섬유는 기존의 방식으로 제조된 PET 섬유에 비하여 염색성이 우수하고, 알칼리감량 속도가 빠르며 부드러운 태를 보이기 때문에 새로운 용도를 창출할 수 있는 점을 들 수 있다. (중략)

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살균제의 처리에 의한 신선채소의 미생물 감소

  • 김상범;박헌국
    • Proceedings of the Korean Journal of Food and Nutrition Conference
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    • 2004.07a
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    • pp.50-50
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    • 2004
  • 소비자의 수요 변화에 부응한 고품질, 안전 농산물의 생산에 대한 요구가 증대되고 있는 현실에서, 생산자와 소비자가 신뢰할 수 있도록 미생물 안전성이 확보된 안전 농산물 생산을 위한 기술 개발 및 연구가 필요한 실정이다. 본 연구에서는 주로 생식으로 섭취되는 엽채류 중 상추를 대상으로 하여 살균액 처리 방법에 의한 미생물 경감을 조사하였다. 그램 양성균인 Becillus subfilis와 그램 음성균인 Escherichia coli, 저온 식중독균인 Listeria monocytogenes를 대상으로 하여 과산화수소수, 차아염소산나트륨 수용액, 초산수용액의 미생물 감소 효과를 측정한 결과 3% 과산화수소수 용액에 1분 이상 침지하는 방법이 90% 이상 (1/10 수준)의 경감 효과를 보였다. (중략)

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성토다짐의 밀도 및 수분 측정에 관한 연구

  • 김기준
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.06a
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    • pp.38-46
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    • 2002
  • 본 연구에서는 성토 다짐용 밀도 및 수분의 측정을 위하여 중성자 검출기는 2개 이상 그리고 감마선 검출기는 5개 이상 사용하여 함을 알 수 있었고, 또한 방사능 대비 방사선 방출수가 다른 선원에 비하여 우수한 Co-60 감마선원과 Cf-252 중성자 선원을 본 계기에 이용하는 것이 정밀도를 향상시키기 위하여 유리하다는 것을 알 수 있었다. 본 연구에서 설계하고 제작한 성토 다짐용관리용 밀도 및 수분 함량 측정기는 국내의 도로 공사 현장에서 성토의 다짐관리를 위하여 이용될 수 있을것으로 사료된다.

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A survey on unsupervised subspace outlier detection methods for high dimensional data (고차원 자료의 비지도 부분공간 이상치 탐지기법에 대한 요약 연구)

  • Ahn, Jaehyeong;Kwon, Sunghoon
    • The Korean Journal of Applied Statistics
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    • v.34 no.3
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    • pp.507-521
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    • 2021
  • Detecting outliers among high-dimensional data encounters a challenging problem of screening the variables since relevant information is often contained in only a few of the variables. Otherwise, when a number of irrelevant variables are included in the data, the distances between all observations tend to become similar which leads to making the degree of outlierness of all observations alike. The subspace outlier detection method overcomes the problem by measuring the degree of outlierness of the observation based on the relevant subsets of the entire variables. In this paper, we survey recent subspace outlier detection techniques, classifying them into three major types according to the subspace selection method. And we summarize the techniques of each type based on how to select the relevant subspaces and how to measure the degree of outlierness. In addition, we introduce some computing tools for implementing the subspace outlier detection techniques and present results from the simulation study and real data analysis.