• Title, Summary, Keyword: support function

Search Result 2,285, Processing Time 0.04 seconds

The effects of social support and family function on life satisfaction of the middle-aged and old-aged for the policy implications (정책적 시사점 도출을 위한 사회적지지와 가족기능이 중.노년의 삶의 만족도에 미치는 영향에 관한 연구)

  • Lee, Gyeong-Sook
    • Journal of the Korea Society of Computer and Information
    • /
    • v.16 no.4
    • /
    • pp.243-252
    • /
    • 2011
  • The study was to test hypothesis that social support and family function affect on life satisfaction, suggested the policy implications. I established research model based on reference review and took a questionnaire on the life satisfaction to the middle-aged and old-aged people over the age of fifty, who live in G city among the attendants at the program that was held by the local government. According to analytical results, social support and family function affected on social participation and life satisfaction. This study suggested theoretical and policy implications based on analytical results.

Smoothing Kaplan-Meier estimate using monotone support vector regression (단조 서포트벡터기계를 이용한 카플란-마이어 생존함수의 평활)

  • Hwang, Changha;Shim, Jooyong
    • Journal of the Korean Data and Information Science Society
    • /
    • v.23 no.6
    • /
    • pp.1045-1054
    • /
    • 2012
  • Support vector machine is known to be the very useful statistical method in classification and nonlinear function estimation. In this paper we propose a monotone support vector regression (SVR) for the estimation of monotonically decreasing function. The proposed monotone SVR is applied to smooth the Kaplan-Meier estimate of survival function. Experimental results are then presented which indicate the performance of the proposed monotone SVR using survival functions obtained by exponential distribution.

Simple Graphs for Complex Prediction Functions

  • Huh, Myung-Hoe;Lee, Yong-Goo
    • Communications for Statistical Applications and Methods
    • /
    • v.15 no.3
    • /
    • pp.343-351
    • /
    • 2008
  • By supervised learning with p predictors, we frequently obtain a prediction function of the form $y\;=\;f(x_1,...,x_p)$. When $p\;{\geq}\;3$, it is not easy to understand the inner structure of f, except for the case the function is formulated as additive. In this study, we propose to use p simple graphs for visual understanding of complex prediction functions produced by several supervised learning engines such as LOESS, neural networks, support vector machines and random forests.

The Effect of a Task-oriented Upper Arm Exercise on Stable and Unstable Surfaces on Dynamic Balance and Hand Function in Patient with Cerebral Palsy

  • Han, Yong-Gu;Yun, Chang-Kyo
    • The Journal of Korean Physical Therapy
    • /
    • v.29 no.2
    • /
    • pp.55-61
    • /
    • 2017
  • Purpose: The purpose of this study was to investigate the effects of a task-oriented upper arm exercise performed in a sitting position on either an unstable support surface or a stable support surface for children with cerebral palsy. Methods: We prospectively evaluated 18 children with cerebral palsy. Eight subjects were randomly assigned to each of the stable and unstable support surface groups. We performed the upper arm exercise three times a week for 6 weeks. To confirm the effects of the intervention, the berg balance scale test, modified functional reaching test (MFRT), timed up and go test (TUG), and Jebsen-Taylor hand function test were conducted before and after the study. Results: Significant differences were observed in MFRT and TUG between the experimental and control groups (p<0.05). In the Jebsen-Taylor hand function test, there were significant differences between the groups for the items picking up small objects, stacking checkers, lifting large light objects, and lifting large heavy objects (p<0.05), but not for writing and stimulation of feeding. Significant differences were observed between the groups in items of card turning, lifting large light objects, and lifting heavy objects. Conclusion: The purpose of this study was to evaluate the effectiveness of a task-oriented upper extremity exercise program for dynamic balance and hand function performed in a sitting position with either stable or unstable support by cerebral palsy patients. There were improvements in the two groups, but performing the exercise while sitting on an unstable support surface had a greater effect on dynamic balance and hand function than exercise while sitting on a stable supporting surface. The results of this study can be used to improve the daily lives of cerebral palsy patients.

Convoys of Social Support in Childhood and Early Sdolescence: Structure and Function (구조적, 기증적 측면에서 본 아동기의 사회적지지 -Social Convoy Model을 토대로-)

  • 장영서
    • Journal of the Korean Home Economics Association
    • /
    • v.36 no.3
    • /
    • pp.191-206
    • /
    • 1998
  • The purpose of this study was to explore social support in childhood and early adolescence. The research was based on the social convoy model(Kahn and Antonucci, 1980). The data were collected from questionnaires completed by 656 elementary school children(2nd and 5th grade) and the middle school children(2nd grade) in rural and urban area. The statistical methods adopted for data analyses were frequencies, mean, standard deviation, T-test, One-way ANOVA, Scheffe-test, Two-way ANOVA, and correlation coefficient. Children received more support from parents and friends in convoy function of social support. Convoy size of social support increased with age. Rural children had larger convoy size in the inner circle, and smaller convoy size in the middle circle than urban children did.

  • PDF

Variance function estimation with LS-SVM for replicated data

  • Shim, Joo-Yong;Park, Hye-Jung;Seok, Kyung-Ha
    • Journal of the Korean Data and Information Science Society
    • /
    • v.20 no.5
    • /
    • pp.925-931
    • /
    • 2009
  • In this paper we propose a variance function estimation method for replicated data based on averages of squared residuals obtained from estimated mean function by the least squares support vector machine. Newton-Raphson method is used to obtain associated parameter vector for the variance function estimation. Furthermore, the cross validation functions are introduced to select the hyper-parameters which affect the performance of the proposed estimation method. Experimental results are then presented which illustrate the performance of the proposed procedure.

  • PDF

Positive and Negative Influence of Social Network on Self Rated Health and its Gendered Pattern (사회적 관계망의 긍정적, 부정적 기능이 성별 주관적 건강에 미치는 영향)

  • Park, Su-San;Cho, Sung-Il;Jang, Soong-Nang
    • Korean Journal of Health Education and Promotion
    • /
    • v.28 no.4
    • /
    • pp.39-49
    • /
    • 2011
  • Objectives: This study was to examine the association between structural and functional characteristics of social network and self-rated health in middle-aged Korea population. We also explored gender difference in the relationship between social network and health. Methods: Data were collected from individuals aged 40-69 years old participating in the 2005 survey for the Korean Genome & Epidemiology Study. We examined the association between social network, social support, social conflict and self-rated health using multiple logistic regression analysis stratified by gender. Results: The extent and contact frequency of close people, and social participations were associated by not only the positive function but also the negative function of social network. Both the positive and negative functions of social network affected self-rated health. The relationship between the function of social network and health showed a gender difference: only positive function was significantly associated with health in men while only negative function had significant relationship with health in women. Conclusions: Social support and social conflict affected the health in both genders through different ways. The ambivalent effect of social network on health should be explored further.

A Study on future oriented urban space production Strategy for Activation of CBD (CBD 활성화를 위한 미래형 도시공간연출 전략에 관한 연구)

  • Oh, Jae-Woo;Park, Kwan-Il
    • The Journal of Information Technology
    • /
    • v.12 no.3
    • /
    • pp.25-48
    • /
    • 2009
  • 1. CONTENTS 1) RESEARCH OBJECTIVES The purpose of the study was to propose a future oriented urban space production strategy to offer diverse useful services to citizens to improve international competitiveness of cities in the times of competition that competitive subjects were changed from competition among countries to competition among cities. 2) RESEARCH METHOD In the proposed future-oriented urban space production strategy, the study compared/analyzed main plans related to development of urban space by selecting CBD(Jung-gu) of Busan out of local metropolises in South Korea. 3) RESEARCH FINDINGS In the proposed future-oriented urban space production strategy, the study largely sorted city's function into four scopes function of industrial support, function of social support, function of living support and function of urban infrastructure. 2. RESULTS It is expected that the proposed future oriented urban space production strategy will be utilized as a useful reference model when a lot of local governments, planning a ubiquitous urban space, establish a plan for constructing a ubiquitous urban space.

  • PDF

Semiparametric Kernel Fisher Discriminant Approach for Regression Problems

  • Park, Joo-Young;Cho, Won-Hee;Kim, Young-Il
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.3 no.2
    • /
    • pp.227-232
    • /
    • 2003
  • Recently, support vector learning attracts an enormous amount of interest in the areas of function approximation, pattern classification, and novelty detection. One of the main reasons for the success of the support vector machines(SVMs) seems to be the availability of global and sparse solutions. Among the approaches sharing the same reasons for success and exhibiting a similarly good performance, we have KFD(kernel Fisher discriminant) approach. In this paper, we consider the problem of function approximation utilizing both predetermined basis functions and the KFD approach for regression. After reviewing support vector regression, semi-parametric approach for including predetermined basis functions, and the KFD regression, this paper presents an extension of the conventional KFD approach for regression toward the direction that can utilize predetermined basis functions. The applicability of the presented method is illustrated via a regression example.

Imbalanced SVM-Based Anomaly Detection Algorithm for Imbalanced Training Datasets

  • Wang, GuiPing;Yang, JianXi;Li, Ren
    • ETRI Journal
    • /
    • v.39 no.5
    • /
    • pp.621-631
    • /
    • 2017
  • Abnormal samples are usually difficult to obtain in production systems, resulting in imbalanced training sample sets. Namely, the number of positive samples is far less than the number of negative samples. Traditional Support Vector Machine (SVM)-based anomaly detection algorithms perform poorly for highly imbalanced datasets: the learned classification hyperplane skews toward the positive samples, resulting in a high false-negative rate. This article proposes a new imbalanced SVM (termed ImSVM)-based anomaly detection algorithm, which assigns a different weight for each positive support vector in the decision function. ImSVM adjusts the learned classification hyperplane to make the decision function achieve a maximum GMean measure value on the dataset. The above problem is converted into an unconstrained optimization problem to search the optimal weight vector. Experiments are carried out on both Cloud datasets and Knowledge Discovery and Data Mining datasets to evaluate ImSVM. Highly imbalanced training sample sets are constructed. The experimental results show that ImSVM outperforms over-sampling techniques and several existing imbalanced SVM-based techniques.