• 제목/요약/키워드: Time-activity pattern

검색결과 426건 처리시간 0.027초

시간활동 접근법에 의한 면 보건요원의 업무량 분석 (Measuring Myun Health Worker's Performance by Time-Activity Approach)

  • 김한중;김문식
    • Journal of Preventive Medicine and Public Health
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    • 제10권1호
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    • pp.34-43
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    • 1977
  • This study attempts to examine the performances of Myun Health Workers-the frontline workers in the Korean rural health care delivery system. The time-activity approach was mainly utilized as a measuring tool. This study was undertaken in September 1976 with 35 Myun Health Workers at the Kang Wha County. The pretested time-activity approach sheets were filled out daily for one month by those Myun Health Workers themselves. Statistical means and variances of analysis were utilized for statistical method in comparing some activities and functions converged into time distribution Findings: 1. The workers's average working hours derived in this study is 8 hours and 48 minutes per day, which takes half an hour longer than normal schedule. 2. They spend 56% working hour for direct services, in other words, the main function, 22% for supportive function, and 22% for other activities, the unrelated health services. 3. Considering the total working hours of main function, out-center activity is far more than in-center services with the ratio of 70% to 30% respectively, which proves, therefore, that the main activity of the workers is home visiting. 4. It takes 20 minutes purely for home visiting and takes 14 minutes for transportation. 5. This research also indicates that such factors as characteristics of the health workers and myun influence in shaping the structures of the worker's function and activity: a. The workers whose working site is located in myun office spend 15% among total working hours in carring out official myun activities, which is incidentally unrelated to health services, while the health subcenter have no rooms for administrative jobs for myun office. b. The workers whose office is in health subcenter contribute much time in doing main function and those working in special project distribute more time in performing supportive function. c. The types of workers are another dominant factor to influence the components of worker's functions and activities. MCH workers and MPW I spend much time for manipulating main function. d. MPW II, whose function is reorganized by special project in 2 myuns shows different pattern of time distribution compared to the TB worker orFP worker in the ordinary area. MPW II distributes their time evenly in performing MCH program, T.B. Program, F.P. program and education activity, while the unipurpose workers engage in carring out only their dominant role. e. Another variables which involve the variation of the worker's activity can be illustrated with the variables like target population, size of myun and convenience for transportation, among which the latter two are remarkable factors in determining the time for out-center service.

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활동 스케줄 분석을 통한 고령자의 통행특성과 통행행태에 관한 연구 (Analysis of the Elderly Travel Characteristics and Travel Behavior with Daily Activity Schedules (the Case of Seoul, Korea))

  • 서상언;정진혁;김순관
    • 대한교통학회지
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    • 제24권5호
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    • pp.89-108
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    • 2006
  • 우리나라도 2000 년에 65세 이상 고령자 인구가 전인구의 7%에 도달하며서 소위 고령화 사회에 진입하게 되었고 앞으로 25년간 우리나라 고령자인구의 증가율은 세계적으로 유례없이 급속할 것으로 예상된다. 이러한 측면에서 최근 고령화 문제가 사회적인 이슈로 대두됨에 따라 교통시설물 계획 등에서 고령인구의 통행특성을 고려한 계획 및 설계가 필수적으로 요구되어지고 있다 하지만, 기존의 교통존 혐의 집계분석 방법론에서는 일반인과 고령자의 평균값을 사용함으로써 고령자의 통행 특성 및 사회경제적 특성을 고려하는데 한계를 가지고 있다. 따라서 본 연구는 일반인과 다른 고령자의 통행특성을 분석하기 위해 네스티드 로지모형을 이용하여 개인의 통행특성을 반영할 수 있는 비집계분석의 방법론으로 활동 스케줄링 모형을 구축하고 정립하였다. 본 연구에서의 분석결과 일반인과 비교해 고령자의 통행특성은 직장인과 비직장인 모두에서 출발시간과 수단 선택에서 큰 차이를 가지는 것으로 분석되었다 이러한 개인 통행특성의 차이를 간과한 기존의 교통존 중심의 집계분석 방법론으로 장래 수요 예측시에 큰 편이를 초래할 것으로 예상된다 따라서 본 연구는 개인통행특성을 고려하기 위해 활동기반모형의 필요성을 강조할 수 있는 좋은 선행과제가 될 것으로 기대한다 또한, 활동기반분석의 지속적인 연구 및 이에 대한 개발은 현재 대두되고 있는 도로사업 평가의 신뢰성, 향후교통시설물 계획 및 설계 평가에 중요 요소로 인식되는 교통량 예측 등에 대한 신뢰성 향상에 많은 기회를 할 것으로 판단된다

성인남성 근로자의 여가시간 중 육체적 활동양상 및 관상동맥질환 위험인자들과의 관련성 (Leisure Time Physical Activity and its Relationship to Coronary Risk Factors in Male Workers)

  • 노윤경;예민해;이성국;천병렬
    • Journal of Preventive Medicine and Public Health
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    • 제26권3호
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    • pp.332-346
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    • 1993
  • 성인 남성들에서 여가시간의 육체적 활동량의 분포를 파악하고 관상동맥질환의 위험인자들과의 관련성을 보기위해 경상북도에 소재하는 일개 제철회사의 남성 근로자 277명을 연구대상자로 선정하였다. CARDIA 연구의 Physical Activity History questionnaire를 변형한 설문지를 이용하여 연구대상자들의 여가시간의 육체적 활동에 대해 면담조사하였다. 공복시 혈액 5ml를 채취하여 혈청 총콜레스테롤, 중성지방 및 혈당량을 측정하였고, 신장, 체중 및 혈압을 측정하였다. 흡연습관과 음주습관, 교육 수준 및 그 밖의 사항들은 설문지를 이용하여 면담조사하였다. 연구대상자들의 여가시간의 육체적 활동에 의한 에너지 소모량의 기하 평균치는 212.80 kcal/week이었고, 전체 대상자 중 여가시간에 2,000 kcal/week이상 육체적 활동을 하는 사람의 비율은 22. 4%이었다. 설문지의 항목들 중 대상자들이 여가시간에 하는 운동으로 가장 많은 것은 산보나 등산, 조깅 혹은 달리기 등이었다. 전체 대상자들에서 연령별, 교육수준별, 근무기간별, 흡연 및 음주습관별 주당 여가시간의 육체적 활동량이 유의한 차이를 보이지 않았으나, 작업 중 격렬한 노동을 하는 사람들이 안 하는 사람들에 비해 주당 여가시간의 육체적 활동량이 많은 것으로 나타났다(p<0.05). 여가시간의 육체적 활동량과 관상동맥질환의 위험인자들과의 관련성을 보고자 여가시간의 육체적 활동량을 중등도 이상의 활동을 전혀 안 하는 경우, 총 활동량이 2,000 kcal/week 미만인 경우 그리고 총 활동량이 2,000 kcal/week 미만인 경우의 세 군으로 나눈 후 BMI, 수축기 및 이완기혈압, 혈청 총콜레스테롤, 중성지방, 공복시 혈당량의 평균을 비교하였으나 통계적으로 유의한 차이를 보인 것은 없었다.

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2,4-Dinitrophenol을 처리한 호밀(Secale cereale L.) 유식물의 질산염 환원에 관한 연구 II. 호밀 유식물 뿌리의 질산염 환원효소 활성에 대한 2,4-Dinitrophenol의 영향 (Studies on in vivo Nitrate Reduction in Rye (Secale cereale L.) Seedlings Treated with 2,4-Dinitrophenol II. Effect of 2,4-Dinitrophenol on in vivo Nitrate Reductase Activity in the Roots of Rye Seedlings)

  • 조규찬
    • Journal of Plant Biology
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    • 제34권4호
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    • pp.283-288
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    • 1991
  • This work was carried out to determined the effect of 2,4-dinitrophenol(DNP) on in vivo nitrate reductase activity in the root of 6 day old rye (Secale cereale L.) seedlings. The nitrate reductase activity in the roots of 6 day old rye seedlings pretreated with 0.5 mM DNP was higher than that of the control group in all the experimental conditions. The optimal concentration of KNO3 for maximum nitrate reductase activity was 10 mM in both control and treated group. The nitrate reductase activity in the treatment of 10 mM KNO3 gradually increased for 4 h in both groups, and then maintained constantly. The nitrate reductase activity occurred per hour was highest at 1 h in both groups, while it was declined by large degrees as time goes on. The daily pattern of nitrate reductase activity was gradually decreased in both groups with the passage of day. The optimal pH for this experiment and a previous paper (Kwon et al., 1991), it was determined that the nitrate reductase activity in both roots and shoots of rye seedlings was increased by the treatment of 0.5 mM DNP, and particulary in both groups, the nitrate reductase activity in the roots of rye seedlings was higher than that in shoots of them.

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다중압력센서를 이용한 보행패턴 추정에 관한 연구 (A Study of Human Gait Discrimination Using Multi-pressure Sensor)

  • 최대영;김경호
    • 전기학회논문지
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    • 제65권4호
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    • pp.673-677
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    • 2016
  • In this study, In order to measure foot pressure, it makes analyzing device using multi-pressure sensor. This device was limited frequency band to 5Hz by using low-pass filter and MCU was detected signal every milliseconds. After wearing the device, the result was confirmed by blue-tooth to measure wirelessly. Also, we propose an algorithm to obtain the walking pattern using a time table in each of the detected peak from the pressure sensor. Using the algorithm, right walking pattern and abnormal pattern was detected. The results can be reflected more individual walking patterns than when using a conventional methods and also, developed device was no restriction on the human activity.

u-라이프케어를 위한 HMM 기반의 분산 행위 인지 알고리즘 (A Distributed Activity Recognition Algorithm based on the Hidden Markov Model for u-Lifecare Applications)

  • 김홍섭;임거수
    • 한국컴퓨터정보학회논문지
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    • 제14권5호
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    • pp.157-165
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    • 2009
  • 본 논문에서는 일상 공간에서 발생할 수 있는 인간의 일상생활 행위(ADL: Activities of Daily Living)들을 인지하는 분산 모델을 제시한다. 사용자의 환경, 위치 및 행위 정보를 간단한 센서들이 부착된 가정용 기기 혹은 식기들을 통해 무선 센서 네트워크로 수집하며 분석하고, 이 정보를 기반으로 사용자의 생환패턴, 건강상태 등을 파악하여 이에 요구되는 라이프케어 서비스를 제공한다. 하지만 서비스의 제공을 위해서는 높은 수준의 행위인지 데이터가 요구되나 충분히 분석되어지지 않은 센싱 데이터들은 고차원 상창 추론을 위한 일상생활 행위 인지 모델의 구축을 어렵게 한다. 그러나 수집 데이터의 순서를 통해 행위를 인지할 수 있다는 것에 착안하여 센서 데이터들의 순서를 특정 행위 패턴을 분석하는 데 활용하고, 이를 기반으로 한 분산 선형 시간추론 알고리즘을 제안한다. 이 알고리즘은 가정, 사무실 및 병원과 같은 소규모 환경에서 행위를 인지하는 데 적절하다. 제안한 알고리즘의 성능평가를 위해서 MIT Media Lab에서 제공하는 공개 데이터를 사용하였으며, 75% 이상의 평균 행위 인지 정확도를 보였다.

시간가충치 평균모델을 이용한 이산화질소의 노출평가 및 예측 (Exposure Assessment and Estimation of Personal Exposure for Nitrogen Dioxide Using Time Weighted Average Model)

  • 양원호;이선화;백도명
    • 한국대기환경학회지
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    • 제17권3호
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    • pp.251-258
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    • 2001
  • Indoor and outdoor nitrogen dioxide(NO$_2$) concentrations of 122 houses were measured and compared with measurements of personal NO$_2$ exposure simultaneously . Time activity patterns were used to determine the impacts on NO$_2$ exposure assessment and time weighed average model to estimate the personal NO$_2$ exposure. Most people spent their times more than 80% of indoor and more than 50% in home, respectively. Personal NO$_2$ esposure was found to be significantly associated with both indoor NO$_2$ concentration(r=0.70) and outdoor NO$_2$ concentration (r=0.68). Using time weighted average model, personal NO$_2$ exposure was estimated with NO$_2$ measurements in indoor home, indoor workplace and outdoor home. The estimated NO$_2$ measurements were significantly correlated with measured personal exposures(r=0.69, N=122). For the difference between measured and estimated NO$_2$ exposures by multiple regression analysis showed that NO$_2$ concentrations in near workplace and other outdoors of no NO$_2$ measurements affected the personal NO$_2$ exposures(p=0.023).

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한국 학생들의 시간활동 양상 평가 (Time-activity Pattern Assessment for Korean Students)

  • 류현수;윤효정;엄익춘;박진현;김순신;조만수;양원호
    • 한국환경보건학회지
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    • 제44권2호
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    • pp.143-152
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    • 2018
  • Objectives: The purpose of this study was to provide basic data for air pollutant exposure modelling and understanding the contribution of respective microenvironments by assessing the time-activity patterns of Korean students according to variables such as grade, sex, weekday, and weekend. Methods: In this study, we compared the residential time of 521 (both weekday and weekend) lower elementary students, 1,735 (1,054 on weekdays, 681 on weekends) upper elementary students, 2,210 (1,294 on weekdays, 916 on weekends) middle school students, and 2,366 (1,387 on weekdays, 979 on weekends) high school students in different microenvironments according to grade, sex, weekday, and weekend. We used data from the 2014 Time-Use Survey by the Korean National Statistical Office for upper elementary students through high school students, and surveyed time-activity patterns of 521 lower elementary students aged 7-9 years. Each microenvironment was divided into indoor, outdoor, and transport. Indoor environments were divided into home, school, and other places. In addition, the results of previous studies were compared to this study. Results: Weekday time-activity patterns of Korean students indicated that lower elementary students spent $16.02{\pm}2.53hr$ in the home and $5.37{\pm}2.32hr$ in school. Upper elementary students spent $14.11{\pm}1.79hr$ in the home and $6.27{\pm}1.37hr$ in school. Middle school students spent $12.83{\pm}2.22hr$ in the home and $7.48{\pm}1.88hr$ in school. High school students spent $10.65{\pm}2.86hr$ in the home and $10.23{\pm}2.86hr$ in school on weekdays. High school students spent the least amount of time in the home and the most time in school compared to other grades Conclusions: Students spent most of their time indoors, including in the home, school, and other indoors. On weekdays, as the grade increases, home residential times were decreased and school residential times were increased. Differences in time-activity patterns according to sex were not found for either weekdays or weekends. It is estimated that Korean students could be affected by school indoor air quality. High school students could be most affected by school indoor air quality since they spent the most time at school.

흡연자와 비흡연자의 행동양상 연구 (A Study on Behavior Patterns Between Smokes and Non-Smokers)

  • 김화신
    • 대한간호학회지
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    • 제20권1호
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    • pp.79-87
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    • 1990
  • Clinical and epedemiologic studies of coronary heart disease(CHD)have from time to time over the last three decades found associations between prevalence of CHD and behavioral attributes and cigarette smoking. The main purpose of this study is reduced to major risk factor of coronary heart disease through prohibition of smoking and control of behavior pattern. The subjects consisted of 120 smokers and 90 non-smokers who were married men older than 30 years working in officers. The officers were surveyed by means of questionnaire September 26 through October 6, 1989. The Instruments used for this study was a self-administered measurement tool composed of 59 items was made through modifications of Jenkuns Activity Survery(JAS). The Data were analysed by SAS(Statistical Analsis System) program personal computer. The statistical technique used for this study were Frequency, x$^2$-test, t-test, ANOVA, Pearson Correlation Coefficient. The 15 items were chosen with items above 0.3 of the factor loading in the factor analysis. In the first factor analysis 19 factors were extracted and accounted for 86% of the total variance. However when the number of factors were limited to 3 in order to derive Jenkins classification, three factors were derived. There names are Job-Involvement, Speed & Impatience, Hard-Driving. Each of them includes 21 items, 21 and 9, respectively. The results of this study were as follow : 1. The score of the smoker group and non-smoker group in Job-Involvement(t=5.7147, p<0.0001), Speed & Impatience(t=4.6756, p<.0001), Hard-Driving(t=8.0822, p<.0001) and total type A behavior pattern showed statistically significant differences(t=8.1224, p<.0001). 2. The score of type A behavior pattern by number of cigarettes smoked daily were not statistically significant differences. 3. The score of type A behavior pattern by duration of smoking were not significant differences. It was concluded that the relationship between smokers and non - smokers of type A behavior pattern was statistically significant difference but number of cigarettes smoked daily and duration of smoking were not significant differences. Therefore this study is needed to adequate nursing intervention of type A behavior pattern in order to elevated to educational effect for prohibition of cigarette smoking.

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위치기반 빅데이터를 활용한 서울시 활동인구 유형 및 유형별 지역 특성 분석 (Types and Characteristics Analysis of Human Dynamics in Seoul Using Location-Based Big Data)

  • 정재훈;남진
    • 국토계획
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    • 제54권3호
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    • pp.75-90
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    • 2019
  • As the 24-hour society arrives, human activities in daytime and nighttime urban spaces are changing drastically, and the need for new urban management policies is steadily increasing. This study analyzes the types and characteristics of Seoul's human dynamics using location-based big data and the results are summarized as follows. First, the pattern of human dynamics in Seoul repeats itself every 7 days. Second, the types of human dynamics in Seoul can be classified into five types, and each of type has its own unique time-series and local characteristics. Third, the degree of match between human dynamics and zoning system in urban planning legislation was highest in 'Type 1' residence pattern and low in other types. The following implications can be drawn from these results. First, This paper examined the methodology of analyzing the regional characteristics of Seoul through the human dynamics and obtained meaningful results. Second, This paper can derive reliable and objective pattern analysis results using Big data that reflect the overall population characteristics. Third, the scale of night-time activity in the urban space of Seoul was understood, and its distribution, patterns and characteristics identified.