• 한국항행학회논문지
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• 제19권2호
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• pp.153-160
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• 2015

본 논문은 국제적 문자부호체계인 유니코드 내에 있는 한글낱자와 호환용 한글낱자 부호를 통신망에 전송하기 위해 UTF-8부호로 변환할 때 회선부호기에서 발생하는 스크램블링의 발생빈도를 연구하였다. 본 논문에서 적용한 회선부호기의 스크램블링 방식은 ITU 및 한국의 표준전송방식인 HDB-3방식으로 하였다. 각 한글낱자부호에서 발생하는 스크램블링을 분석하기 위해 원천 부호화규칙을 적용하였다. 스크램블링 발생량은 각 한글낱자에서 발생하는 스크램블링의 발생횟수와 각 한글낱자의 사용빈도에 의한 발생 빈도율을 추출하였다. 연구결과 한글낱자의 부호에 대한 스크램블링 발생은 유니코드 체계내에서 24번, 52%, UTF-8체계 내에서 148번, 228%발생하였다. 호환용 한글낱자 부호에서는 유니코드 체계내에서 10번, 14%, UTF-8 체계 내에서 83번, 131%발생하였다. 즉, 유니코드체계의 한글낱자와 호환용 한글낱자는 UTF-8체계로 변환하면서 스크램블링 발생 빈도율이 각각 340%, 851%증가하는 것으로 나타났다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.32.6-32
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• 2002

The damage localization of the structural system using the natural frequency measurement only is proposed. The existing methods use the changes of mode shape, strain mode shape or curvature mode shape before and after the damage occurrence as these shapes carry the geometric information of the structure. Basically, the change of natural frequencies of the structure can be used as the indicator of the damage occurrence but not as the indicator of the damage location as the natural frequency changes does not carry the geometric information of the structure. In this research, the feedback scope method that measures the natural frequency changes of the structure with and without the feedback Ioo...

• 한국기후변화학회지
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• 제9권4호
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• pp.461-470
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• 2018

The frequency of extreme weather events was analyzed using meteorological data (air temperature, precipitation, and duration of sunshine) collected from 61 stations over a 36-year span (1981-2016). The 10-day meteorological data were used as a basic unit for this analysis. On average, the frequency of occurrence of abnormal weather was 9.88 per year and has increased significantly during this 36-year period. According to the type of abnormal weather, the frequencies of occurrence of abnormally high air temperature and short duration of sunshine have increased by 0.50 and 0.41 per 10 years, respectively; however, that for abnormally low air temperature has decreased by 0.31 per 10 years and the trend was statistically significant. The highest frequency of abnormal weather appeared in 2007, with a frequency of 14.31. Abnormal weather was the most frequent at Yeongdeok station with an average frequency of 11.78 per year over this 36-year span.

• Journal of Forest and Environmental Science
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• 제32권2호
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• pp.149-157
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• 2016

Understanding regional characteristics in forest fire occurrence is important to establish effective forest fire prevention policy in Korea. This study analyzed the characteristics of forest fires occurred in 16 administrative districts for recent 25 years (1990~2014) to examine regional characteristics in forest fire occurrence. Forest fire occurrence reflects regional characteristics depending on climatic factors as well as region's society-cultural factors. Results showed that the first cause of forest fire occurrence was carelessness by human activities throughout all administrative districts, however, the second cause depends on regional characteristics. As the results of forest fire occurrence period analyzed for 10 days, the most forest fires occurred in the southern region during January to March, while forest fires in the northern region occurred mostly during March to April. We classified forest fire occurrence patterns into three types (centralized: Gyeonggi-do, dispersal: Busan, horizontally distributed: Gyeongsangnam-do) by multi-temporal analysis for forest fire occurrence period.

• Journal of Information Technology Applications and Management
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• 제15권2호
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• pp.67-82
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• 2008

Risk that breed large size disaster is happening variously for cause at social. natural a management. Incidence and damage scale are trend that increase rapidly than past. In these circumstance, to keep operational continuity of organization, area, society, risk management action that establish systematic counter measure estimating and analyze occurrence possibility and expectation damage of risk is essential indispensable issue and the best countermeasure. Risk management action does by main purpose establish optimum disaster reduction countermeasure. To deduce various countermeasure, process that estimate and analyze occurrence possibility and expectation damage of risk is essential indispensable issue. Therefore, this paper studies process design that can presume risk occurrence frequency and damage scale through distribution of probability.

• 한국군사과학기술학회지
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• 제23권6호
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• pp.582-590
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• 2020

This paper presents the results of new error analysis on the veering of marine target with the concept of frequency of occurrence, and shows how to apply the midcourse guidance errors of anti-ship missile. The veering error would be a dominant factor in the midcourse guidance errors with flight time increase. This study suggests the reasonable application method of the veering error based on the characteristics of abnormal error, and describes the tailoring method including trade-off between the midcourse guidance range of veering target and the value of frequency of occurrence on veering error.

• 한국대기환경학회지
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• 제5권1호
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• pp.88-95
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• 1989

The aspects of the occurence frequency of $SO_2$ concentration were studied with the observed data in Seoul and the scheme that is capable of estimating not only highest concentration for a variety of averaging times but also concentrations for arbitary occurrence frequency with long term arithmatic mean and geometric standard deviation data, was evaluated. The results of the statistical analysis show that the occurrence frequency is almost log normal except a few cases, and 3rd highest values of daily mean concentration were about 4.2 $\sim$ 5.2 times higher than annual arithmatic mean. The evaluation with the observed hourly concentration shows that the scheme fairly well estimate the short concentration of arbitary occurrence frequence and it can be used for air quality management and environmental impact assessment.

• 한국기후변화학회지
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• 제4권2호
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• pp.189-199
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• 2013

기상청 소속 60개 지점에서 관측한 1973년부터 2010년까지의 순별 평균기온을 조사기간의 평균값과 비교하는 평균편차법으로 이상고온과 이상저온의 출현횟수를 조사하고, 시 공간별로 분석하였다. 과거 38년간 이상기온의 출현횟수는 연 평균 1.8회(이상고온 0.65회, 이상저온 1.15회)로 조사되었다. 연도별로는 1998년에 이상고온의 출현횟수가 2.47회로 가장 많았고, 이상저온의 출현횟수는 1980년에 5.07회로 가장 많았다. 연대별 이상고온의 연간 출현횟수는 1980년대(1981~1990년)의 0.2회에서 2000년대(2001~2010년)의 1.0회로 5배 이상 크게 증가한 반면에, 이상저온의 연간 출현횟수는 1970년대(1973~1980년)의 2.06회에서 2000년대의 0.63회로 크게 감소하는 경향을 나타내서, 최근 우리나라에서의 온난화 현상을 나타내고 있었다. 농업기후지대로 구분하여 분석하면, 과거 38년간 이상고온의 출현횟수가 가장 많았던 농업기후지대는 태백고냉지대(대관령, 평창 등)로서 연평균 0.76회이었고, 동해안 북부지대(강릉, 속초 등)는 0.74회로 다음으로 많았다. 반면에, 이상고온의 출현횟수가 가장 적었던 농업기후지대는 동해안 남부지대(포항, 울산 등)로 0.45회였다. 과거 38년간 이상저온의 출현횟수가 가장 많았던 농업기후지대는 소백서부 내륙지대(청주, 대전 등)로 연평균 1.43회이었고, 이상저온의 출현횟수가 가장 적었던 농업기후지대는 동해안 중부지대(울진, 영덕 등)로 연 평균 0.64회이었다.

• 한국지역지리학회지
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• 제12권4호
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• pp.461-474
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• 2006

우리나라의 여름과 겨울철의 이상기온 출현 분포 특성을 분석한 후 여름과 겨울철의 월별 이상기온 출현 빈도에 의하여 한반도 이상기온 지역을 5개로 구분하였다. 여름철 이상고온의 출현 빈도가 다른 이상기온 지역보다 2배 이상 높은 제 I지역(중부 동안), 겨울철 이상고온 출현은 낮고 이상저온 출현은 높은 제 II지역(경기 서안과 중부 내륙 북부), 다른 지역과 달리 여름과 겨울철 이상기온의 출현이 특정 계절에 집중되지 않는 제 III지역(중 남부의 서부), 여름철 이상고온의 출현 빈도가 가장 낮고 겨울철 이상고온의 출현도 비교적 적은 제 IV지역(산지와 남부 및 남해안 동부), 겨울철 이상고온 빈도가 가장 높은 제 V지역(소백산맥/노령산맥 이남과 남해안 서부 및 제주도)이다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.2059-2064
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• 2004

Texture analysis is an important role for automatic visual insfection. This paper presents an application of wavelet extension and Gray level co-occurrence matrix (GLCM) for detection of defect encountered in textured images. Texture characteristic in low quality images is not to easy task to perform caused by noise, low frequency and small dimension. In order to solve this problem, we have developed a procedure called wavelet image extension. Wavelet extension procedure is used to determine the frequency bands carrying the most information about the texture by decomposing images into multiple frequency bands and to form an image approximation with higher resolution. Thus, wavelet extension procedure offers the ability to robust feature extraction in images. Then the features are extracted from the co-occurrence matrices computed from the sub-bands which performed by partitioning the texture image into sub-window. In the detection part, Mahalanobis distance classifier is used to decide whether the test image is defective or non defective.