• 제목/요약/키워드: Statics Korea

검색결과 67건 처리시간 0.021초

진단검사의학 검체검사의 정상치와 참고치

  • 이갑노
    • 한국건강관리협회지
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    • 제1권1호
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    • pp.19-20
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    • 2003
  • In Korea association of health promotion(KHAP) there are fourteen laboratories in branch offices and one laboratory in headquarter office. To standardize the reference ranges of all laboratories of KAHP, they have been newly calculated from the laboratory data perfomed during the previous yearsby statistical metod annually for the period of 2000 through2003 so far. The referance ranges of total 56 test items were assigned. Among these there were eight test items that needed referance ranges by age groups and nine test items that needed reference rages by gender. The age grouping was into six groups : baby (0-3y), children(4-12y), adolescent(13-18y), adult(19-64y), younger elderly(19-64y), older elderly(over 80y) with references of statics in Medical Informatics and WHO classification. All the data collected were statistically analyzed with SAS 6.04 for Gaussian distribution that had been repeated two or three times after trimming out the the tests showed Gaussian distribution. Subsequently, Thereference ranges were defined in the rage from the point of lower 2.5% to the point of higher 97.5%. And in case the lower range could be "0", the reference ranges were defined in the range of 0 to 95%. Fifteen laboratoried troughout Korea of KAHP currently have standarzed reference rages of the tests that they perform. This means the patient data and reference values an be exchangeable among laboratories of KHAP.Annual revise of such reference rages can eventually lead to the level of those representing a standard of the national reference ranges.

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비스테로이드성 항염증제의 약물독성 예방을 위한 Methocarbamol의 약물조합 (A Methocarbamol Combination to Prevent Toxicity of Non-steroidal Anti Inflammatory Drugs)

  • 염승민;김민석
    • 대한임상검사과학회지
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    • 제49권2호
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    • pp.88-98
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    • 2017
  • 비 스테로이드성 항염증제에 대한 개별적 독성증상을 예방하기 위해 로박스 플라티넘(Robax Platinum), 로박스아세트(Robaxacet), 나프록센(Naproxen) 그리고 재활치료를 선택적으로 처방하여 비 스테로이드 진통소염제(Non-Steroidal Anti-Inflammatory Drugs)에 대한 독성증상을 예방을 위한 효과 비교 연구를 진행하였다. 이 연구에서는 로박스 플라티넘(Robax platinum), 로박스아세트(Robaxacet), 나프록센(Naproxen)을 주한미군 처방전(Annex A-Over-The-Counter Prescription)을 기준으로 하여 처방하였고, 앨리스 리치의 통증 척도(Alice Rich's Pain Scale)를 사용하여 통증 경과를 비교하고 그 결과를 IBM SPSS statics 24 버전을 사용하여 데이를 계산했다. 결합된 메토카바몰(Methocarbamol, 500 mg), 아세트아미노펜(Acetaminophen, 325 mg), 이부프로펜(Ibuprofen, 200 mg) 정제는 결합된 메토카바몰(Methocarbamol, 500 mg) 정제와 함께 사용할 수 있다. 아세트아미노펜 (Acetaminophen, 325 mg)의 알약이 통증을 조절하는 방법으로 사용되었다. 메도카바몰 500mg, 아세트아미토펜 325 mg 및 이부프로펜 200 mg 정제의 약물 조합은 메도카바몰 500 mg 및 아세트아미노펜 325 mg 정제가 전반적인 통증 조절과 관련하여 물리적인 스트레칭 운동과 쌍을 이룬 것과 유사한 통증 완화효과를 나타내었다.

감성 만족도의 정량화를 위한 퍼지 소속 함수 개발 (Development of Fuzzy Membership Function for Emotional Satisfaction Quantification)

  • 박준석;명노해
    • 대한인간공학회지
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    • 제23권2호
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    • pp.37-54
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    • 2004
  • Fuzzy theory provides an intelligence treatment model for judgement about information when it needs a solution or a decision making about vague problems. Therefore, fuzzy theory is used for appropriate evaluation and decision on obscure information as human's emotion in human factors, In previous study, fuzzy membership function is defined for judgement infOlmation as human's emotion then ultimate results are deducted through fuzzy inference model. This method uses general CWTent through literature review or max, min and average as representative statics value about considering variables. But, this method makes away with nonlinear's or inegular's factors of human sensibility. Accordingly, application of this method leads to considerable loss of information in the ultimate evaluation. For that reason, this method has a limitation in objective evaluation of human factors. So, this study focuses on development of fuzzy membership function, which evaluates human's emotion or feeling accurately and objectively. We used the regression analysis and reasoned a fuzzy membership function about the relation of the variables. Then we verified the adequacy with the reliability through the experiment after this.

Hidden Markov Model과 Karhuman Loevs Transform를 이용한 얼굴인식 (A Face Recognition using the Hidden Markov Model and Karhuman Loevs Transform)

  • 김도현;황선기;강용석;김태우;김문환;배철수
    • 한국정보전자통신기술학회논문지
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    • 제4권1호
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    • pp.3-8
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    • 2011
  • 본 논문은 실험영상이 학습영상에 대해 조명의 차이가 있는 경우에도 데이터베이스 안에서 누구인지를 식별하는 얼굴인식 방법을 제안하였으며, 또한 HMM과 KLT를 이용한 얼굴인식 알고리즘의 수행결과를 비교, 분석하였다. 얼굴인식 방법으로 측정벡터는 직교변환(Karhuman Loevs Trans-form : KLT)의 상관관계를 이용하여 얻은 HMM의 정역학특성을 사용하여 HMM 기존의 얼굴인식 방법에서 인식률을 개선하였으며, 실험결과로써 조명의 조건에 따른 여러 가지 복잡한 주변 상황변화에서도 제안된 방식의 효율성을 입증할 수 있었다.

중재 시술 적용을 위한 소형 연속체 로봇의 정역학 모델링 및 외부 측면 하중에 의한 변위 분석 (Static Modeling of a Miniaturized Continuum Robot for Surgical Interventions and Displacement Analysis under Lateral External Loads)

  • 김기영;우현수;조장호;신민기;서정욱
    • 로봇학회논문지
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    • 제15권4호
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    • pp.301-308
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    • 2020
  • In this paper, we deal with the static modeling of a continuum robot that can perform surgical interventions. The proposed continuum robot is made of stainless steel wires and a multi lumen flexible tube using a thermoplastic elastomer. This continuum robot could be most severely deformed in physical contact with narrow external environments, when a lateral external force acts at the distal tip of the continuum robot. In order to predict the shape and displacement under the lateral external force loading, the forward kinematics, the statics modeling, the force-moment equilibrium equation, and the virtual work-energy method of the continuum robot are described. The deflection displacements were calculated using the virtual work-energy method, and the results were compared with the displacement obtained by the conventional cantilever beam theories. In conclusion, the proposed static modeling and the virtual work-energy method can be used in arrhythmia procedure simulations.

베이즈 규칙을 활용한 배전선로 위험도 평가모델 -가공배전분야- (A Risk Evaluation Model of Power Distribution Line Using Bayesian Rule -Overhead Distribution System-)

  • 정종만;박용우
    • 전기학회논문지
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    • 제62권6호
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    • pp.870-875
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    • 2013
  • After introducing diagnosis equipment power failure prevention activities for distribution system have become more active. To do facility diagnosis and maintenance work more efficiently we need to evaluate reliability for the system and should determine the priority line with appropriate criteria. Thus, to calculate risk factor for the power distribution line that are composed of many component facilities its historical failure events for the last 5 years are collected and analysed. The failure statics show that more than 60% of various failures are related to environment factors randomly and about 20% of the failures are refer to the aging. As a strategic evaluation system reflecting these environmental influence is needed, a system on the basis of the probabilistic approach related statical variables in terms of failure rate and failure probability of electrical components is proposed. The figures for the evaluation are derived from the field failure DB. With adopting Bayesian rule we can calculate easily about conditional probability query. The proposed evaluation system is demonstrated with model system and the calculated indices representing the properties of the model line are discussed.

컴퓨터 그래픽스를 이용한 케이블 구조의 초기형태 설계 (Preliminary Form Design of Cable Structure using Computer Graphics)

  • 김남희;고현무;홍성걸
    • 한국전산구조공학회논문집
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    • 제24권4호
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    • pp.375-382
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    • 2011
  • 최근 컴퓨터 그래픽 S/W는 변수화 모델링과 생성알고리즘을 제공함으로써 기하학적 표현의 다양성뿐만 아니라 설계자의 의도를 체계적으로 모듈화할 수 있는 여러 가지 가능성을 열어주고 있다. 이 연구에서는 이러한 가능성을 지닌 컴퓨터 그래픽 S/W기반으로 초기 구조형태를 생성하는 방법을 제시하고자 한다. 특히 변수화 모델링과 생성 알고리즘을 이용하여 다양한 설계대안을 생성한다. 더욱이 동적 그래픽스개념을 이용하여 설계자가 한편에서는 구조형태를 생성하는 동안에, 또 다른 한편에서는 상응하는 힘의 흐름도가 마련되도록 한다. 이는 궁극적으로 힘의 흐름에 근거한 합리적 초기 구조형태 설계를 지원하게 될 것이다.

최근 신고자료를 기초로 한 우리나라 사망패턴 (Life Table Construction Based on the Recent Vital Registration Data)

  • 김백현;최봉호;김동회
    • 한국인구학
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    • 제13권1호
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    • pp.3-25
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    • 1990
  • Life table of Korean population for years 1983 1985 1987 and 1989 were constructed byt the National Bureau of Statics. The ago specific death rates were calculated froom the death registral ion for numerators and the estimated population by age and sex for denominators. In the course of constructing life tables, we have maole some adjustments for deficiencies in regist rat ion olata as follows. First, the non-registered portion oof infant deaths especially for neo-natal deaths was estirnateol and added too the original data. The main reason is that deaths occorring in the neo-natal period and prior to the registrat ion of birth leave little incentive for the registration of either the birth or the death. Second. t he do~hayed p(ortioon of deaths registering after one year of occurrence was estimated and added too the original data. Third t the ptortioon haying in, occuracies in ,~oge reporting was also estimated. Fourth the moving average methood was finally employed in an effort too remove the random error. The major fin(hings are as foolloows. 1. the average life expectancy at birth in 1989 is calculateol as 70.8 years in 1989, 2. a gap netween the male and female life expectancies is widened to more than 8 years toorm 1.8 years in 1906 10. It means that the female life expectancy has increased substantially, 3. the death rates of the middle - aged men starting age 40 are found to he relatively higher than those of females and younger age groups. This peculiar pattern was also found with the comparison of those of other countries.

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부분균형분석과 장기균형: 산업완결균형 (Partial Equilibrium Analysis and Long-run Equilibrium: Full Industry Equilibrium)

  • 박만섭
    • 사회경제평론
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    • 제31권3호
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    • pp.131-163
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    • 2018
  • 경제의 장기균형은 경제에 존재하는 모든 기업들이 '초과이윤 = 0'의 조건을 충족하는 상태이다. '다른 모든 변수들이 불변'(ceteris paribus)이라는 가정에 근거한 전통적 부분균형분석은 장기균형과 논리적으로 상충한다. '산업완결균형'(full industry equilibrium)은 전통적인 부분균형분석보다 포괄적인 부분균형의 틀 속에서 개별 산업의 장기균형을 다룬다. 산업완결균형에 대한 비교정태분석은 개별 기업/산업에 대하여 기존의 부분균형분석이 도출하는 결과들이 성립하지 않을 수 있음을 보인다. 본 논문은 산업완결균형의 배경과 의의를 소개한다. 이 과정에서 산업완결균형 분석과 1960-70년대의 자본논쟁이 갖는 유사점과 상이점을 논의하고, 산업완결균형 분석의 비판적 의의와 건설적 의의를 밝힌다.

머신러닝 알고리즘 기반의 의료비 예측 모델 개발 (Development of Medical Cost Prediction Model Based on the Machine Learning Algorithm)

  • Han Bi KIM;Dong Hoon HAN
    • Journal of Korea Artificial Intelligence Association
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    • 제1권1호
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    • pp.11-16
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    • 2023
  • Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.