• KEPCO Journal on Electric Power and Energy
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• 제2권1호
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• pp.61-69
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• 2016

Understanding load patterns and customer classification is a basic step in analyzing the behavior of electricity consumers. To achieve that, there have been many researches about clustering customers' daily load data. Nowadays, the deployment of advanced metering infrastructure (AMI) and big-data technologies make it easier to study customers' load data. In this paper, we study load clustering from the view point of yearly and daily load pattern. We compare four clustering methods; K-means clustering, hierarchical clustering (average & Ward's method) and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). We also discuss the relationship between clustering results and Korean Standard Industrial Classification that is one of possible labels for customers' load data. We find that hierarchical clustering with Ward's method is suitable for clustering load data and KSIC can be well characterized by daily load pattern, but not quite well by yearly load pattern.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제7권1호
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• pp.52-60
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• 1996

본 연구는 월경전기에 불편감이 있다고 응답한 230명의 여고생을 대상으로 전향적인 매일 평가서를 사용하여 월경주기에 따른 신체적, 기분, 행동변화의 양상을 보고자 하였다 '월경전 불쾌기분장애'로 확인된 군과 전체대상군 모두에서 후기황체기에 신체적 , 심리적 증상들이 뚜렷한 악화를 보이기 시작하여 월경이 시작되면서 증상의 최고치를 나타냈으며, 월경시작4일째에 급격한 감소를 보였다. 또한 월경주기중에서 특히 월경기때에 보다많이 신체적인 불편감을 경험하고 있고, 이때 월경기간이 길수록 불편감이 큰 것으로 보여진다. 이러한 양상들은 젊은 여성의 월경전기 변화 양상을 대표할 수는 없으나, 본 대상군이 여고생임을 감안할 때 우리나라 청소년의 월경주기에 따른 고유한 증상의 변화양상을 보여주는 것이라고 할 수 있겠다.

• 부모자녀건강학회지
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• 제3권2호
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• pp.18-24
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• 2000

The purpose of this research is to investigate Sleep/Activity pattern of normal neonate in Kangwon area. The subjects of this research were 23 normal neonate who visited pediatric clinic of kangneung general hospital from Jun 15, 1999 to August 10, 2000. The instrument of this research was the NCASA. The results of this research were as follows: 1. The mean time of daytime sleep was 8.21 hours. The mean time of nighttime sleep was 5.70 hours. The mean time of total daily sleep was 13.92 hours. The mean time of longest sleep period was 5.02 hours. The mean time of regularity of sleep were daytime 46.59%, nighttime 74.43%, total daily sleep 55.88%. The mean frequency of nighttime wakening was 2.03 times. 2. The each mean time of activity were daytime 7.72 hours, nighttime 2.28 hours, daily total activity 9.99 hours. The mean time of the longest activity period was 6.16 hours. The mean times of feeding frequency were daytime feeding 4.53, nighttime feeding 1.92, total daily feeding 6.45. The mean of regularity of feeding frequency was 65.71%.

• 근관절건강학회지
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• 제17권2호
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• pp.151-161
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• 2010

Purpose: The purpose of this study was to identify the effect of Tai Chi exercise on loneliness, sleep pattern, and instrumental activities of daily living in elderly women. Methods: A quasi-experimental design, a nonequivalent control group pretest-posttest was used. Elderly women who agreed to participated in the study were assigned into an experimental group (n=20) or a control group (n=20). The experimental group participated in Tai Chi exercise program (Sun-style 12 forms) for 50 minutes per session, 2 times a week for 8 weeks. Tai Chi exercise program consisted of 10 minutes for warm-up, 35 minutes for main session, and 5 minutes for cooling down. Study outcomes were measured through study questionnaires. Data were analyzed using Chi-square test, t-test and Mann-Whitney test by SPSS WIN 14.0 program. Results: Compared with the control group, the experimental group showed significant improvement in loneliness (t=-2.733, p=.009), sleep pattern (t=2.552, p=.015), and instrumental activities of daily living (z=-2.171, p=.030). Conclusion: Tai Chi exercise program may be an effective nursing intervention for elderly women.

• 한국도서관정보학회지
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• 제33권3호
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• pp.215-234
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• 2002

본 연구는 주요 서평매체의 하나인 신문을 대상으로 그 서평의 성격과 경향을 분석한 것이다. 조사범위는 2001년 발행의 동아일보, 한국일보, 매일신문에 한정하였다. 연구결과 이들 신문서평은 일반적인 독자들이 관심을 가지는 문학 및 교양서를 중심으로 지역에 관련된 도서, 또는 번역서를 비중있게 다루고 있으며, 공히 서평의 속보성을 유지하고 있는 것으로 나타났다. 그리고 각각의 신문은 서평지면의 크기에서 현격한 차이를 드러내고 있으며, 이것이 결과적으로 서평의 건수, 서평자의 구성, 서평의 수준 등에 결정적인 영향을 끼치고 있음을 확인하였다.

• 한국ITS학회 논문지
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• 제10권4호
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• pp.11-23
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• 2011

이 연구는 시계열 과거 속도자료를 활용하여 유사한 패턴 변화를 보이는 요일을 그룹핑하는 알고리즘을 개발하였다. 알고리즘에 적용할 이력자료 시간적 범위는 과거 2개월치 자료를 사용하였으며, 공간적 범위는 도시부도로를 대상으로 하였다. 이 연구에서 제안한 알고리즘은 크게 거시적인 관점과 미시적인 관점으로 나누어 요일별 패턴분류를 수행하였다. 먼저 거시적인 관점에서 요일별 첨두/비첨두 시간대와 요일별 속도변화가 크게 나타나는 중점시간대를 도출하였다. 미시적인 관점에서는 거시적인 관점에서 도출된 중점시간대를 대상으로 요일간 속도 차이를 개별(요일별) 혹은 그룹간의 유사성을 비교하여 단계적으로 분류하는 2단계 속도 군집 알고리즘(Two-step speed clustering algorithm, TSC)을 개발하였다. TSC 알고리즘은 중점시간대의 매 가공주기(또는 제공주기)마다 요일별(월~일) 속도차이를 토대로 그룹핑하는 1단계와 1단계에서 도출된 각 그룹의 평균과 요일간의 속도차이를 비교하여 재할당하는 2단계로 구성된다. TSC 알고리즘은 실제 지점검지기에서 수집된 시간대별 시계열 자료를 토대로 개발 및 성능평가가 수행되었다. 따라서, 교통정보센터에서 수집 가공 저장되는 과거이력자료를 이용하여 요일별 패턴분류 수행이 가능하고 알고리즘 구현도 실제 가공체계에 적용하기 용이하다. 이 연구에서 제안한 알고리즘은 통행패턴기반 정보가공 알고리즘 개발, 요일별 반복정체구간 운영관리, TOD에 근거한 신호운영 개선 등 교통운영 및 관리 전반에 적용이 가능하다.

• 한국조경학회지
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• 제17권2호
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• pp.27-39
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• 1989

The purpose of this study is to prove the factors affecting the fluctuation of daily visitors in five mountainous national park(Kayasan, kyeryongsan, Naejangsan, Soraksan, Songnisan), and to analyze the relationship between these factors and daily visitors in Korea. "Three Factors and Nine Categories"(Aoki, K. & Aoki, Y. : 1974, 1979) has been applied to this study, and statistical analysis method was carried out by computer program SAS and SPSS. The number of daily visitors is calculated based on the data of "Daily entrance ticket sale report" by administration office in each national park. The scope of time period is during the last 5years(1982∼1986: 1825days) and the results were as follows: 1) There were significant differences in the number of daily visitors of each national park among months, days of a week and weather-the same as the previous study of urban park case. But it wold be better for their category classification to be adjusted according to the fluctuation pattern of each national park. 2) The peak of monthly visitors comes in May(Kayasan, Soraksan, Songnisan) or October(Kyeryongsan, Naejangsan). These months are specified as group tour season. On the basis of monthly fluctuation pattern, Each national park were classified into seasonal type, that is, kayasan, Soraksan were proved to be three-season type(Spring, Summer, Autumn), Songnisan to be two-season type(Spring, Autumn), and Naejangsan to be one-season type(Autumn). 3) The weekly pattern differs from three category (weekday, weekend, holiday: Eom, Choi 1986) in the case of urban park study. And there is no significant difference in daily fluctuation pattern by weather (fine, cloudy and rainy day), but significant difference between snowy and the others. This result is due to the characteristics of visitors, which is, the major visits of national park are planned in a advance of the tour, therefore it is difficult to change the plan by the weather. 4) the result of correlation analysis showed that the most influential factor on national park use in Kayasan, Naejangsan, Soraksan and Songnisan is ′Monthly characters (M)′, on the contrary ′Day of week(D)′ in Kyeryongsan only. From the result, The more parks are resource-based, the more ′Monthly characters′-factor is supposed to affect the number of daily visitors rather than ′Day of the week′-factor. This means that kayasan, naejangsan, Sorakson and Songnisan are classified into resource-based type, but on the other hand Kyeryongsan should be classified into intermediate type.

• 한국환경복원기술학회지
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• 제17권5호
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• pp.1-17
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• 2014

Research was initiated to investigate early establishment characteristics and germination pattern of Kentucky bluegrass (KB, Poa pratensis L.) under natural room temperature and to analyze differences between alternative and natural conditions for a practical application. Fifteen cultivars of KB were evaluated in the study. Daily and cumulative germination pattern were measured and analyzed on a daily basis. Differences were observed in germination percentage, germination pattern, days to the first germination and days to 75% germination. Germination percentage was variable with cultivars at the end of study. It was 75.75 to 90.25% under natural condition. There were considerable variations in early germination characteristics and germination pattern among KB cultivars according to germination conditions. The first germination in all entries tested was initiated between 6 and 9 DAS (days after seeding) under ISTA (International Seed Testing Association) condition. But it was observed between 9 and 12 DAS under natural condition, being 3 to 5 days later as compared with ISTA condition. On the first date of a germinating process, the germination rate was 0.25% to 25.00% under ISTA condition, while 0.50% to 13.25% under natural condition. Days to the 75% germination were 15.08 to 28.80 DAS under ISTA condition and 17.78 to 28.75 DAS under natural condition. Midnight II, Excursion and Midnight were the fastest cultivars under ISTA condition, while Odyssey the fastest one under natural condition. Regardless of germination condition, the slowest cultivar was Voyager II, being over 4 weeks to 75% germination percentage. For the most cultivars, days to 75% germination under natural room temperature condition were 1 to 8 days slower than under ISTA condition. From this study information on differences in germination characteristics and pattern among cultivars would be usefully applied for KB establishment such as golf course construction. Prior to on-site seeding, a comprehensive germination test is practically recommended due to a possible decline in germination capability during domestic distribution and storage after import.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
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• pp.371-373
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• 2001

In this paper, we present 2-step load cycle for daily load curve of up to and including 100kVA distribution transformer in domestic. Daily load patterns are classified by two methods dependent upon possession information. In case we possess daily load profiles make use of K-mean algorithm and in case we have not daily load profiles, make use of customer information of KEPCO. As the parameters of the load pattern classification, we use are daily load profiles and customer information of each distribution transformers. Data management system is used for NT oracle. We can present peak load magnitude, initial load magnitude and peak load duration for daily load patterns by 2-step load cycle for daily load curve of up to and including 100kVA distribution transformer in domestic. We think that this paper contributes to enhancing the distribution transformer overload criterion.

• ETRI Journal
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• 제37권2호
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• pp.283-294
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• 2015

A model that precisely forecasts how much wind power is generated is critical for making decisions on power generation and infrastructure updates. Existing studies have estimated wind power from wind speed using forecasting models such as ANFIS, SMO, k-NN, and ANN. This study applies a projected clustering technique to identify wind power patterns of wind turbines; profiles the resulting characteristics; and defines hourly and daily power patterns using wind power data collected over a year-long period. A wind power pattern prediction stage uses a time interval feature that is essential for producing representative patterns through a projected clustering technique along with the existing temperature and wind direction from the classifier input. During this stage, this feature is applied to the wind speed, which is the most significant input of a forecasting model. As the test results show, nine hourly power patterns and seven daily power patterns are produced with respect to the Korean wind turbines used in this study. As a result of forecasting the hourly and daily power patterns using the temperature, wind direction, and time interval features for the wind speed, the ANFIS and SMO models show an excellent performance.