• Title/Summary/Keyword: 장기인

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Influence Analysis of Food on Body Organs by Applying Speech Signal Processing Techniques (음성신호처리 기술을 적용한 음식물이 인체 장기에 미치는 영향 분석)

  • Kim, Bong-Hyun;Cho, Dong-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.5A
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    • pp.388-394
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    • 2012
  • In this paper, the influence analysis of food on human body organs is proposed by applying speech signal processing techniques. Until these days, most of researches regarding the influence of food on body organs are such that "A" ingredient of food may produce a good effect on "B" organ. However, the numerical and quantified researches regarding these effects hardly have been performed. This paper therefore proposes a method to quantify the effects by using numerical data, so as to retrieve new facts and informations. Especially, this paper investigates the effect of tomatoes on human heart function. The experiment collects samples of voice signals, before and after 5 minutes, 30 minutes and 1 hour, from 15 males in their 20s who have not abnormal heart function; the voice signal components are applied to measure changes of heart conditions to digitize and quantify the effects of tomatoes on cardiac function.

A Study on the Utilization of AWS Data in Water Budget Analysis (물수지 분석에서 AWS 자료의 활용방안 연구)

  • Moon, Jang-Won;Choi, Si-Jung;Hwang, Seok-Hwan;Kang, Seong-Kyu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.639-639
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    • 2012
  • 물 수요 및 공급 체계를 바탕으로 수급 상황에 대한 판단을 위해 일반적으로 물수지 분석을 이용하고 있다. 물 수급 체계를 기반으로 하는 물수지 분석은 분석 대상유역의 물 수요를 고려하여 공급 가능량을 판단한 후 두 가지 인자 간 상호 비교를 통해 물 부족 여부를 판단하는 과정이라 할 수 있으며, 가장 대표적인 사례는 수자원장기종합계획에서의 물 수급 전망 분석 과정이라 할 수 있다. 수자원장기종합계획의 물 수급 전망에서는 미래 우리나라에서 예상되는 물 수요를 예측하고 수문조건에 따른 공급 상황과의 비교 검토를 통해 시공간적 물 부족 현황을 제시하고 있다. 수자원장기종합계획에서는 공급량 조건을 검토하기 위한 방법으로 기상청, 국토해양부, 한국수자원공사 등 다양한 기관에서 관측된 강우자료를 강우-유출모형에 적용한 후 산정된 자연유출량을 기반으로 물수지 분석을 수행하고 있다. 수자원장기종합계획과 같이 미래 우리나라의 물 수급 상황을 분석하고 이를 바탕으로 제시된 시공간적 물 부족 정보의 신뢰성을 높이기 위해서는 기본적으로 지역 또는 유역별 강우 발생 특성에 대한 정확한 고려가 기반이 되어야 한다. 그러나 현재 수자원장기종합계획 수립 과정에서 이용하고 있는 강우 관측지점의 공간적 분포를 살펴보면, 도서 및 해안지역의 경우 관측소의 밀도가 상대적으로 매우 빈약한 한계를 포함하고 있으며, 대부분 내륙 지역에 관측소가 집중된 현상을 보이고 있다. 이와 같은 상황에서 강우 관측자료를 이용한 분석을 수행할 경우 도서 및 해안지역에 대한 강우 발생 특성의 정확한 반영이 어려울 수 있으며, 이는 물 부족 분석 결과의 정확도 측면에서도 문제점으로 지적될 수 있다. 이러한 한계를 극복하기 위한 방안으로 기상청에서 운영 중인 자동기상관측지점(Automated Weather Station, AWS)의 관측자료를 이용하는 방안을 검토해볼 수 있다. AWS 지점은 내륙 및 도서 해안지역에 관계없이 고른 관측소 분포를 보이고 있으므로 이를 고려할 경우 기존 관측지점에서 한계로 지적된 부분을 충분히 극복할 수 있을 것으로 판단된다. 따라서 본 연구에서는 기상청에서 생산되고 있는 AWS 관측자료를 수집한 후 이를 수자원장기종합계획의 물수지 분석과 동일한 분석 과정에 적용하였으며, 그 결과에 대한 검토를 통해 국가 수자원계획의 신뢰도를 높일 수 있는 방안을 제시하였다.

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The Long-Term Settlement Behavior Analysis of Multi-layered Refuse Landfill by In-situ Measurement (현장계측을 통한 다층 폐기물 매립지의 장기침하거동분석)

  • Chun, Byung-Sik;Choi, Jung-Hoon
    • Journal of the Korean GEO-environmental Society
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    • v.6 no.1
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    • pp.53-62
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    • 2005
  • This paper estimates the long-term settlement of Kimpo metropolitan landfill based on measured settlement data from 180 landfill monitors accumulated over a period of 12 years. Comparison of domestic and international settlement records indicate that the domestic compression rate is slightly lower due to greater portion of organic component. Several existing settlement models are used to compare with the observed behavior and also to estimate long-term settlement. The hyperbolic, Gibson & Lo, Bjarngard & Edgers and Power Creep Law models compare well with the measured settlement of the Kimpo metropolitan landfill. The settlement models are further used to estimate long-term settlement. Bjarngard & Edgers and Power Creep Law models result in higher estimates of the long-term settlement compared to the hyperbolic and Gibson & Lo models. Further comparisons indicate that other models, including Sowers and log models, are inapproriate for predicting the long-term settlement of the Kimpo metropolitan landfill.

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Unit Costs of Care Services in Long-Term Care Insurance in Korea - Its Characteristics and Evaluation - (노인장기요양보험 수가 개발의 특성과 평가)

  • Seok, Jae-eun
    • Korean Journal of Social Welfare Studies
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    • no.39
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    • pp.253-286
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    • 2008
  • The care market has a unique characteristic that cannot be understood only by pure consumerism. It is not simply constituted by the relationship between consumers and providers at a uni-dimensional level of consumerism logic; rather, it operates in the tripartite-dimensional relationship between the state, consumers and providers through the design and regulation of policies by the state(Evers 1994). The unit costs of long-term care insurance has a meaning as the signal of state for policy direction. This paper consists three contents. The first, it provides to examine the developing process and method of the unit costs of long-term care and to define the characteristics of the developing method of unit costs of the Korean Long term care Insurance. The second, it tried to evaluate the adequacy, validity, and equity of unit costs of care. The third, it proposed the policy direction and measures focused on state's role as price determinator and regulator of care market in that unit costs of care is very important factors for formation and operating of care market.

A Study on the Long-Term Care Insurance System prepare for the Super-Aged Society (초고령화 사회를 대비한 노인장기요양보험제도에 관한 연구)

  • Kim, Min-Ju;Hwang, Jun-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.395-405
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    • 2019
  • Korea is undergoing a change in its population structure, due to economic development, falling birth rates and the development of health care. As the population ages, the number of elderly people who have difficulty in daily life such as dementia and paralysis increases every day. The growth of nuclear families and the increased participation of women in society make it difficult to take care of elderly people who need long-term care at home. As the social problems resulting from this have emerged as serious problems, the government enacted and implemented the Long Term Care Insurance Act to improve the quality of life for the elderly subject to long-term care and to ease the burden of family support in order to solve such problems. Therefore, the present study explores ways to improve legal and institutional aspects, and seek mental and psychological measures for the stability of old life as well as the physical health of welfare.

Streamflow generation for long-term bed change simulation at downstream of the dam using hydraulic geometric characteristic (수리기하학적 특성을 이용한 댐하류 하천의 장기하상변동 모의를 위한 유량의 생성)

  • Lee, Woong Hee;Choi, Heung Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.291-291
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    • 2017
  • 본 연구에서는 합천댐 방류량에 영향을 받는 황강을 대상으로 하천의 수리기하학적 분석을 통해 장기하상변동 모의를 위한 모의유량을 생성하였다. 낙동강 합류부로부터 상류로 3.5 km 구간을 대상으로 실측된 20개 횡단면에 대한 만제지표를 분석하였으며, 각 횡단면의 만제지표를 이용하여 대상구간의 평균 만제유량을 산정하였다. 대상구간의 평균 만제유량은 $177.37m^3/s$로 나타났다. 산정된 만제유량을 이용하여 황강의 연간 총 유출량을 추정하였으며, 추정된 연간 총 유출량은 $8,513.76m^3/s$로 나타났다. 추정된 황강의 연간 총 유출량은 합천댐의 월별 방류량 비를 통해 월별 유출량으로 배분/생성하였다. 생성된 황강의 월별 유출량 비율과 인근의 실측 하천인 낙동강의 월별 유출량 비율을 비교한 결과 국내하천의 일반적인 특성인 몬순강우 사상에 따른 하천의 월별 유출량과 갈수기와 홍수기 전반에 걸쳐 차이가 있음을 확인하였다. 아울러 댐하류 하천의 장기하상변동 모의를 위한 모의유량의 사용성 확인을 위해 2013-2014년에 실측된 1년간의 하상변동 양상과 비교 분석하였다. Case 1 (추정된 연간 총 유출량을 합천댐 방류량 비를 통해 생성한 모의유량)과 case 2 (인근 하천인 낙동강의 유출량 비를 통해 배분된 모의유량)을 이용하여 장기하상변동 모의를 수행한 결과 case 1에서 실측 하상과 유사한 결과가 나타남을 확인하였다. 따라서 댐하류 하천의 장기하상변동 모의는 일반적인 국내의 강우사상에 따른 하상변동 분석과 차이가 있음을 확인하였으며, 상류에 위치한 댐 방류량을 고려한 하상변동 분석이 필요함을 확인하였다.

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Factors Affecting Awareness of Long Term Care Insurance: An Exploratory Study (노인장기요양보험인지도에 영향을 미치는 요인에 대한 탐색적 연구)

  • Won, Seojin;Kim, Hyemee
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.229-236
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    • 2019
  • This is an exploratory study examining factors associated with awareness of the National Long Term Care Insurance in Korea. The researchers also examined the differences in factors based on their age, between the middle-aged group(45-64 years of age) and the elderly group(65 years and older). The 6th wave of Korean Longitudinal Study of Ageing(KLoSA) was used for secondary data analysis. Results indicated that for the middle-aged, gender, volunteer participation, ADL, IADL, and depression were related to their awareness of the long term care insurance. However, for the elderly, social capital factors were significantly related to their awareness of the insurance. Age and depression were also significant factors associated with the awareness level of the long term care insurance among the elderly. Based on the findings, implications for social welfare policy are discussed.

Improvement of Management of Long-Term Care Facilities Through FGI (FGI를 통한 노인장기요양시설 운영 개선 방향에 관한 연구)

  • Park, Sung Won;Lee, Won Jae
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.587-597
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    • 2019
  • With the rapid aging of the nation's population and the increasing number of elderly people with difficulties in daily life, the elderly care system was implemented for social solidarity. Structural problems in the long-term care system that emerged after the introduction of the system are demanded, and the problem of functional readjustment between nursing hospitals and facilities is raised due to the lack of continuity of care for the elderly by institutional and salary types. In this study, we set up research problems related to personnel, staff, and services to address the problem and conducted FGI. Research has shown that the number of elderly and recognized people in the region, the number of elderly and elderly patients, needs to be reflected in long-term care demand, the direction of appropriate institutional and manpower supply policies, and the establishment of local government goals and plans to strengthen the long-care institutions. It was revealed that non-medical accident arbitration bodies are needed to apply the cost of food insurance, provide programs through links with relevant institutions, and manage the admission smoothly.

The Long-Run Relationship between House Prices and Economic Fundamentals: Evidence from Korean Panel Data (주택가격과 기초경제여건의 장기 관계: 우리나라의 패널 자료를 이용하여)

  • Sim, Sunghoon
    • International Area Studies Review
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    • v.16 no.1
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    • pp.3-27
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    • 2012
  • This paper adopts recently developed panel unit root test that is cross-sectionally robust. Cointegration test is also used to find whether regional house prices are in line with gross regional domestic production (GRDP) in the long run in Korea during 1989-2009. Based on the panel VECM and the panel ARDL models, we examine causal relationships among the variables and estimate the long-run elasticity. We find evidence of cointegration and bidirectional causal relationships between regional house prices and GRDP. The results of long-run estimates, using both fixed effect and ARDL models, show that house prices positively and significantly influence on the GRDP and vice versa. Together with these results, the findings of ARDL-ECM imply that there exists a long-run equilibrium relationship between house prices and regional economic variables even if there is a possibility of short-run deviation from its long-run path.

Long-gap Filling Method for the Coastal Monitoring Data (해양모니터링 자료의 장기결측 보충 기법)

  • Cho, Hong-Yeon;Lee, Gi-Seop;Lee, Uk-Jae
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.33 no.6
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    • pp.333-344
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    • 2021
  • Technique for the long-gap filling that occur frequently in ocean monitoring data is developed. The method estimates the unknown values of the long-gap by the summation of the estimated trend and selected residual components of the given missing intervals. The method was used to impute the data of the long-term missing interval of about 1 month, such as temperature and water temperature of the Ulleungdo ocean buoy data. The imputed data showed differences depending on the monitoring parameters, but it was found that the variation pattern was appropriately reproduced. Although this method causes bias and variance errors due to trend and residual components estimation, it was found that the bias error of statistical measure estimation due to long-term missing is greatly reduced. The mean, and the 90% confidence intervals of the gap-filling model's RMS errors are 0.93 and 0.35~1.95, respectively.