• Journal of Acupuncture Research
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• 제25권6호
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• pp.67-76
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• 2008

Objectives : The 7-zone-diagnostic system is a diagnostic device to predetermine bodily locations by measuring the energy of body. This study was to investigate the relation between the different patterns of Zone 1, 2, 3 of Factor AA in CP-6000A(VEGA, Germany), 7-zone-diagnostic system and clinical parameters. The purpose of this study was relation Korean traditional medicine and western medicine with the data from 7-zone-diagnostic system and the clinical parameters. Methods : This study was carried out with the data from some clinical parameters. We made three groups according to the Factor AA patterns of CP-6000A. The Factor AA pattern of Group A is that the red bar graph of zone 1, 2, 3 were higher than the normal range and the others were the normal range. The Factor AA pattern of Group B was that the red bar graph of zone 1, 2, 3 was the normal range and the others were the normal range. The Factor AA pattern of Group C was that the red bar graph of zone 1, 2, 3 was lower than the normal range and the others were the normal range. After the data from clinical parameters to correspond with conditions of each group were selected, the data from clinical parameters among each groups analyzed statistically. Results : The values of GOT, GPT, r-GPT, Triglyceride, BUN, Uric acid of group A was higher than group C. Gastroscope of group A and B was higher than group C. Conclusions : It is thought that the red bar graph of zone 1, 2, 3 is higher, the group has the higher energy and the energy has a character of fire(熱). Those patterns have a high risk of hyperlipermia and liver, stomach disease.

• 정보처리학회논문지C
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• 제17C권1호
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• pp.81-88
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• 2010

센서네트워크에서 센서는 배터리에 의해 작동이 되며 배터리의 수명이 다하면 더 이상 동작을 할 수 없다. 센서가 수집한 데이터는 효과적인 경로를 통해 싱크노드로 전달되어야 하며 이를 위한 여러 라우팅 알고리즘이 제안되었다. 하지만, 기존의 알고리즘은 데이터를 전송하는데 있어서 전송범위와 전송방향을 고려하지 않기 때문에 많은 노드들이 데이터 전송에 참여하게 되고 결과적으로 많은 에너지를 소모한다. 본 논문에서는 센서 네트워크에서의 효과적인 데이터 전송을 위해 전송범위와 전송방향을 고려한 라우팅 알고리즘인 TDRP(Transmission range and Direction Routing Protocol)를 제안한다. TDRP는 클러스터 또는 그리드를 생성하지 않고, 싱크노드를 중심으로 사분면을 형성하여 패킷의 전송방향을 결정하는 방법으로 네트워크 오버헤드가 적으며, 패킷의 전송방향에 위치하는 노드들 만이 통신에 참여하므로, 에너지 효율성이 기존의 알고리즘들보다 뛰어 나다.

• 대기
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• 제25권4호
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• pp.623-637
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• 2015

The accurate analysis of water vapor in initial of numerical weather prediction (NWP) model is required as one of the necessary conditions for the improvement of heavy rainfall prediction and reduction of spin-up time on a very-short-range forecast. To study this effect, the impact of a ground-based Global Positioning System (GPS)-Precipitable Water Vapor (PWV) on very-short-range forecast are examined. Data assimilation experiments of GPS-PWV data from 19 sites over the Korean Peninsula were conducted with Advanced Storm-scale Analysis and Prediction System (ASAPS) based on the Korea Meteorological Administration's Korea Local Analysis and Prediction System (KLAPS) included "Hot Start" as very-short-range forecast system. The GPS total water vapor was used as constraint for integrated water vapor in a variational humidity analysis in KLAPS. Two simulations of heavy rainfall events show that the precipitation forecast have improved in terms of ETS score compared to the simulation without GPS-PWV data. In the first case, the ETS for 0.5 mm of rainfall accumulated during 3 hrs over the Seoul-Gyeonggi area shows an improvement of 0.059 for initial forecast time. In other cases, the ETS improved 0.082 for late forecast time. According to a qualitative analysis, the assimilation of GPS-PWV improved on the intensity of precipitation in the strong rain band, and reduced overestimated small amounts of precipitation on the out of rain band. In the case of heavy rainfall during the rainy season in Gyeonggi province, 8 mm accompanied by the typhoon in the case was shown to increase to 15 mm of precipitation in the southern metropolitan area. The GPS-PWV assimilation was extremely beneficial to improving the initial moisture analysis and heavy rainfall forecast within 3 hrs. The GPS-PWV data on variational data assimilation have provided more useful information to improve the predictability of precipitation for very short range forecasts.

• 정보보호학회논문지
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• 제30권5호
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• pp.823-834
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• 2020

과거 카드3사 개인정보유출 사건을 계기로 전산 프로그램 개발 시에도 운영환경과 동일 수준의 엄격한 전자금융감독규정을 준수하고 있다. 하지만, 전산 프로그램 개발시 해당 응용 프로그램과 연관된 테스트 데이터 변환 대상범위 식별이 불명확하여 테스트 데이터의 무결성이 훼손된 상태로 응용 프로그램을 검증하고 있어, 이 단계에서 발견되지 못한 결함이 서비스 장애로 이어지는 IT운영리스크가 증가되고 있다. 따라서, 본 논문에서는 특정 응용 프로그램과 연관된 테스트 데이터 변환대상 범위 선정을 위한 프로세스와 알고리즘을 제시하여 실증하였다.

• 한국산학기술학회논문지
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• 제15권1호
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• pp.425-429
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• 2014

가시거리는 무엇인지 정확히 보이는 거리로 정의되며 이는 조도, 글자 크기와 시력 등에 따라 달라진다. 본 논문에서는 4가지 글자 크기와 3가지 조도에 대해서 약 120명의 학생들을 대상으로 교실에서 가시거리를 측정하였다. 측정하지 않은 조도에 대한 가시거리를 예상하기 위해서 최소 제곱 근사 이론을 적용하여 조도가 독립변수이고 가시거리가 종속변수인 함수를 만들었다. 조도가 많이 변해도 가시거리는 조금 밖에 변하지 않으므로 상용로그함수를 이용하여 글자 크기 4가지 각각에 대해서 함수를 만들었다. 만들어진 함수의 값과 측정값과의 오차가 매우 적으므로 함수가 잘 만들어졌음을 보였다.

• 대기
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• 제29권4호
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• pp.451-461
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• 2019

Medium-range forecast is highly dependent on ensemble forecast data. However, operational weather forecasters have not enough time to digest all of detailed features revealed in ensemble forecast data. To utilize the ensemble data effectively in medium-range forecasting, representative weather patterns in East Asia in this study are defined. The k-means clustering analysis is applied for the objectivity of weather patterns. Input data used daily Mean Sea Level Pressure (MSLP) anomaly of the ECMWF ReAnalysis-Interim (ERA-Interim) during 1981~2010 (30 years) provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). Using the Explained Variance (EV), the optimal study area is defined by 20~60°N, 100~150°E. The number of clusters defined by Explained Cluster Variance (ECV) is thirty (k = 30). 30 representative weather patterns with their frequencies are summarized. Weather pattern #1 occurred all seasons, but it was about 56% in summer (June~September). The relatively rare occurrence of weather pattern (#30) occurred mainly in winter. Additionally, we investigate the relationship between weather patterns and extreme weather events such as heat wave, cold wave, and heavy rainfall as well as snowfall. The weather patterns associated with heavy rainfall exceeding 110 mm day^-1 were #1, #4, and #9 with days (%) of more than 10%. Heavy snowfall events exceeding 24 cm day^-1 mainly occurred in weather pattern #28 (4%) and #29 (6%). High and low temperature events (> 34℃ and < -14℃) were associated with weather pattern #1~4 (14~18%) and #28~29 (27~29%), respectively. These results suggest that the classification of various weather patterns will be used as a reference for grouping all ensemble forecast data, which will be useful for the scenario-based medium-range ensemble forecast in the future.

• KIEAE Journal
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• 제16권6호
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• pp.69-75
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• 2016

Climate change has resulted in the urban heat island (UHI) effect throughout the globe, contributing to heat-related illness and fatalities. In order to reduce such damage, it is necessary to improve the climate observation network for precise observation of the urban thermal environment and quick UHI forecasting system. Purpose: This study analyzed the effective range of the climate observation network and the distribution of the existing Automatic Weather Stations (AWS) in Seoul to propose optimal locations for additional installment of AWS. Method: First, we performed quality analysis to pinpoint missing values and outliers within the high-density temperature data measured. With the result from the analysis, a spatial autocorrelation structure in the temperature data was tested to draw the effective range and correlation distance for each major time period. Result: As a result, it turned out that the optimal effective range for the climate observation network in Seoul in July was a radius of 2.8 kilometers. Based on this result, population density, and temperature data, we selected the locations for additional installment of AWS. This study is expected to be used to generate urban temperature maps, select and move measurement locations since it is able to suggest valid, specific spatial ranges when the data measured in point is converted into surface data.

• 전기학회논문지
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• 제57권4호
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• pp.686-691
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• 2008

This paper proposes the concept of "virtual sensor data" and its application for real time obstacle avoidance. The virtual sensor data is virtual distance which takes care of the movement of the obstacle as well as that of the robot. In practical application, the virtual sensor data is calculated from the odometry data and the range sensor data. The virtual sensor data can be used in all the methods which use distance data for collision avoidance. Since the virtual sensor data considers the movement of the robot and the obstacle, the methods utilizing the virtual sensor data results in more smooth and safer collision-free motion.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(I)
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• pp.26-29
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• 1987

This paper concerns methods for ${\mu}$-wave imaging. The image reconstruction of an object by range-doppler preceding using the X-Band Linear-FM signal is presented from tile simulated data. The high degree of range resolution is achived using large signal band width and cross-range resolution is obtained by doppler processing.

• 한국음향학회지
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• 제40권5호
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• pp.428-438
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• 2021

심해 장거리 통신에서는 전달 손실이 적은 낮은 반송 주파수가 효율적이지만, 좁은 대역폭을 가지는 제약이 따른다. 대역폭의 감소는 전송률의 감소를 의미하며, 제한된 대역폭을 가진 환경에서 전송률을 증가시키기 위해서는 고차 변조 기법으로 설계될 필요가 있다. 본 논문은 고차 변조 기법으로 설계된 장거리 수중음향통신 데이터 분석 결과를 제시한다. 2020년 10월 동해에서 예인 음원을 이용한 장거리 해상실험 (23 km ~)이 수행되었고, 수직 선 배열을 통해 데이터를 획득하였다. 본 연구팀은 위상 변조 방식이 적용된 Phase Shift Keying (PSK) 계열 신호와 위상 및 진폭 변조 방식이 적용된 Quadrature Amplitude Modulation (QAM) 계열의 신호를 송신하였으며, 구체적으로 각 계열별 두 종류의 신호를 설계하였다; 1) PSK : quadrature PSK and 8PSK, 2) QAM : 8QAM and 16QAM. 데이터 분석을 위해 수신 신호와 채널 임펄스 응답 사이의 상관성을 활용하여 심볼 간 간섭을 완화시키는 시역전 처리가 적용되었다. 23 km 거리 데이터에 대해 모든 변조 방식이 성공적으로 복조됨으로써 장거리 환경에서 고차 변조 기법의 활용 가능성을 실험적으로 확인하였다.