• 제목/요약/키워드: Multiple Target Variables

검색결과 77건 처리시간 0.025초

65세 이상 저소득층 1인 가구 대상 한의약 건강증진 프로그램 타겟 선정을 위한 탐색적 조사연구: 2017년 국민건강영양조사 결과를 바탕으로 (A pilot study for target selection of Korean Medicine public health promotion programs on single person, low income, senior households: Based on the 2017 Korean National Health and Nutrition Examination Survey)

  • 고유미;조원제;임정권;전윤정;강경래;신용철;장보형;고성규
    • 대한예방한의학회지
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    • 제23권1호
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    • pp.73-82
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    • 2019
  • Objectives : The aim of this study was to explore the general characteristics and health risk factors of the low income single person household in elderly Korean population for target selection of Korean medicine public health promotion program. Methods : We collect the 826 low income over 65 years old participants data from 7th Korean National Health and Nutrition Examination Survey. The demographic, life habit, health status, medical history were used to compare the difference between single and multiple low income senior households. Results : All variables except drinking and smoking were statistically significant between single and multiple low income senior households. The health risk factors in single low income senior households were gender, overweight, Medicaid, annual drinking habit, diagnosis of diabetes. Conclusions : Through this study, we found out that the overweight, monthly drinking habit, diagnosis of diabetes were health risk factors in low income senior single households.

On-demand Allocation of Multiple Mutual-compensating Resources in Wireless Downlinks: a Multi-server Case

  • Han, Han;Xu, Yuhua;Huang, Qinfei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권3호
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    • pp.921-940
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    • 2015
  • In this paper, we investigate the multi-resource allocation problem, a unique feature of which is that the multiple resources can compensate each other while achieving the desired system performance. In particular, power and time allocations are jointly optimized with the target of energy efficiency under the resource-limited constraints. Different from previous studies on the power-time tradeoff, we consider a multi-server case where the concurrent serving users are quantitatively restricted. Therefore user selection is investigated accompanying the resource allocation, making the power-time tradeoff occur not only between the users in the same server but also in different servers. The complex multivariate optimization problem can be modeled as a variant of 2-Dimension Bin Packing Problem (V2D-BPP), which is a joint non-linear and integer programming problem. Though we use state decomposition model to transform it into a convex optimization problem, the variables are still coupled. Therefore, we propose an Iterative Dual Optimization (IDO) algorithm to obtain its optimal solution. Simulations show that the joint multi-resource allocation algorithm outperforms two existing non-joint algorithms from the perspective of energy efficiency.

다중 응답 분류회귀트리를 이용한 음성 개성 변환 (Voice Personality Transformation Using a Multiple Response Classification and Regression Tree)

  • 이기승
    • 한국음향학회지
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    • 제23권3호
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    • pp.253-261
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    • 2004
  • 본 논문에서는 음성 신호가 지니고 있는 화자 의존적 특징 변수를 변환 시키는 음성 개성 변환 기법이 새롭게 제안되었다. 제안된 방법은 성도 전달 함수의 특성을 반영하는 켑스트럼 벡터와 여기 신호의 특성을 반영하는 피치 값을 변환 대상 변수로 삼았으며, 이들에 대한 변환 기법으로 다중 응답 분류 회귀 트리를 사용하였다. 다중 응답 분류 회귀 트리는 기존의 분류 회귀 트리를 다차원 확장시킨 형태로서, 반응값이 벡터 형태로 존재하는 분류 회귀 트리를 의미한다. 본 논문에서는 기존의 코드북 메핑 방법과 비교하여 제안된 기법의 성능을 평가하였으며, 분류 회귀 트리에 입력되는 관찰값을 다양하게 변화시켜 트리의 복잡도와 변환 성능을 정량적으로 분석하였다. 네 명의 화자를 이용한 음성 개성 변환 실험에서, 기존의 코드북 메핑과 비교하여 객관적으로 우수한 성능을 나타내었으며, 청취 테스트에서도 변환음이 목표로 하는 화자의 음성과 유사함을 관찰할 수 있었다.

EXTOPSIS 모형을 이용한 다중특성치의 파라미터설계 (The Parameter Design of Multiple Characteristics Using EXTOPSIS Model)

  • 배영주;김광수;이진규
    • 품질경영학회지
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    • 제24권3호
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    • pp.111-132
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    • 1996
  • Taguchi's parameter design is to determine optimal settings of design parameters of a product or a process such that the characteristics of a product exhibit small variabilities around their target values. His analysis of the problem has focused only on a single characteristic or response, but the quality of most products is seldom defined by a characteristic, and is rather the composite of a great number of characteristics which are often interrelated and nearly always measured in a variety of units. The critical problem in dealing with multiple characteristics is how to compromise the conflicts among the selected levels of the design parameters for each individual characteristic. In this paper, the EXTOPSIS Model using SN ratio which can be optimized by univariate technique is proposed and a parameter design procedure to achieve the optimal compromise among several different response variables is developed. Two existing case studies are solved by the proposed method and the results are compared with ones by the sum of SN ratios, the expected weighted loss, and the desirability function.

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다중거동함수에 의한 T형 옹벽의 신뢰도 해석 (Reliability Analysis of Cantilever Retaining Wall Using Multiple Failure Modes)

  • 박춘수;송용선;김영필
    • 한국지반공학회지:지반
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    • 제4권2호
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    • pp.15-24
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    • 1988
  • 확정론적 방법으로 안정조건을 만족하는 T형옹벽을 대상으로 지지력, 활동, 전도의 단일파괴류 형에 대해 설계변수를 통계적 독립이고 정규분포로 가정하여 AFOSM 방법으로 신뢰도 해석을하였다. 이를 바탕으로 각 파양모드 사이의 상관성을 고려한 구조물 전체적인 신뢰도는 신뢰지수로 2.05 이었다. 그러므로, 확정론적 설계법에 의해 안전상태로 판단된다 할지라도 신뢰도개념으로는 일반적인 목표신뢰지수(Target reliability index) 3보다 훨씬 낮기 때문에 안정상태로 판단하기는 곤란하다.

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신경망 알고리즘을 이용한 아크 용접부 품질 예측 (Prediction of Arc Welding Quality through Artificial Neural Network)

  • 조정호
    • Journal of Welding and Joining
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    • 제31권3호
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    • pp.44-48
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    • 2013
  • Artificial neural network (ANN) model is applied to predict arc welding process window for automotive steel plate. Target weldment was various automotive steel plate combination with lap fillet joint. The accuracy of prediction was evaluated through comparison experimental result to ANN simulation. The effect of ANN variables on the accuracy is investigated such as number of hidden layers, perceptrons and transfer function type. A static back propagation model is established and tested. The result shows comparatively accurate predictability of the suggested ANN model. However, it restricts to use nonlinear transfer function instead of linear type and suggests only one single hidden layer rather than multiple ones to get better accuracy. In addition to this, obvious fact is affirmed again that the more perceptrons guarantee the better accuracy under the precondition that there are enough experimental database to train the neural network.

Quasi-Newton Method에 의한 600W IPMSM의 철손 최소화 설계 (The Design of Iron Loss Minimization of 600W IPMSM by Quasi-newton Method)

  • 백성민;조규원;김규탁
    • 전기학회논문지
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    • 제66권7호
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    • pp.1053-1058
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    • 2017
  • In this paper, the design of iron loss minimization of 600W was performed by using Quasi-Newton method. Stator shoe, the width of stator teeth and yoke, and the length of d-axis flux path were selected as design parameters, and the output characteristics according to each design variable were considered. The objective function was set to minimize iron loss. Using the Quasi-Newton method, the variables converged to the target value while changing simultaneously and multiple times. As the algorithm advanced optimization, the correlation with the behavior of each variable was compared and analyzed.

의복쇼핑성향에 따른 청소년집단들의 의복구매행동 (The Clothing Purchasing Behavior of Adolescent groups according to Shopping Orientation)

  • 손민석;박혜선
    • 한국의류학회지
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    • 제25권6호
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    • pp.1179-1190
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    • 2001
  • The purpose of this study was to segment adolescents according to shopping orientation and to clarify the different clothing behaviors among the segmented groups. The results may be useful for the marketer whose target is adolescents to make proper marketing strategies. The subjects for the final analysis were 436 adolescents who were living in Seoul and Pusan. The statistics used for analysis included factor analysis, cluster analysis, Cronbach $\alpha$, one-way ANOVA, Dancan multiple range test and chi-square using the SPSS program. The results were as follows. Adolescents were segmented to 4 groups(Shop Loyalty/Convenience Pursuit Group, Pleasure/Brand Loyalty Group, Low Shopping Involvement Group and Economic Group). And the four segmented groups were significantly different in clothing purchasing motives, clothing evaluation standards, shop evaluation standards, information preference and demographic variables such as sex, and monthly spending money.

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Integration of Technology Acceptance Model (TAM), Marketing Relationships, and Sharia Compliance in Indonesia's Islamic e-banking

  • USMAN, Hardius;PROJO, Nucke Widowati Kusumo
    • Asian Journal of Business Environment
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    • 제12권4호
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    • pp.25-34
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    • 2022
  • Purpose This research develops the expanded Technology Acceptance Model (TAM) to investigate the relationship between perceived usefulness and perceived ease of use with satisfaction and loyalty by considering the role of sharia compliance, commitment, and trust. Research design, data and methodology: A data source is 300 respondents from a self-administered survey. The target population is Muslims who are customers of Islamic banks, with age at least 18 years, and used e-banking to make payment transactions. The analysis methods are MANOVA and Multiple Linear Regression. Results: The results suggest that intention to use and actual behavior variables are replaced with satisfaction and loyalty. Commitment is not recommended, while trust is an explanatory variable that can be used as an external variable. Conclusions: It is important to increase satisfaction and commitment also concentrate to various aspects of sharia compliance to increase customer's loyalty to use e-banking. The fulfillment of sharia compliance by Islamic banks will increase the Islamic bank customers loyalty.

생활체육 참여자의 감각추구성향이 사회적 지지와 운동 강박에 미치는 영향 (Effects of Sensation Seeking Propensity on Social Support and Exercise Obsession in Sport Participants)

  • 정주혁;유정인
    • 한국엔터테인먼트산업학회논문지
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    • 제13권6호
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    • pp.307-317
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    • 2019
  • 이 연구는 생활체육 참여자들의 감각추구성향이 사회적 지지와 운동 강박에 미치는 영향을 규명하는 데 목적이 있다. 이러한 연구의 목적을 달성하기 위하여 서울에서 정기적으로 생활체육에 참여하는 250명을 대상으로 자료를 수집한 후 SPSS WIN 21.0과 AMOS 21.0 통계프로그램을 활용하여 신뢰도 분석 및 확인적 요인분석, 다변량 분석, 상관관계분석, 다중회귀분석을 수행하여 연구결과를 도출하였다. 분석결과 첫째, 인구통계학적 특성에 따른 측정변인간에는 통계적으로 유의한 차이가 있는 것으로 나타났다. 둘째, 설정된 측정변인 간에는 정적 또는 부적으로 관련성이 있는 것으로 나타났다. 셋째, 감각추구성향은 사회적 지지와 운동 강박에 통계적으로 유의한 영향을 미치는 것으로 나타났다. 마지막으로 사회적 지지는 운동 강박에 통계적으로 유의한 영향을 미치는 것으로 나타났다.