• 보건교육건강증진학회지
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• 제29권5호
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• pp.61-75
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• 2012

Objectives: A great number of the elderly are not aware of having metabolic syndrome, and this pattern differs among regions of the nation. This issue is particularly important for the elderly people with chronic diseases. This study was conducted in order to identify the prevalence, predicting factors of perception and exercise behaviors of among the elderly population. Methods: Using data from the 2009 Korean Community Health Survey, we employed two-level logistic regression models to determine whether individual and community factors are associated with perception and exercise behaviors among the elderly population. Results: Results from weighted two-level logistic regression analyses indicated the individual-level factors of smoking, education level, health center education, community exercise program participation and unmet needs in men, and marital status (being separated), health center education women predicted the elders' perception. As for the community-level predictors, higher smoking and living in regions with high suicide rates significantly predicted the elders' perception and exercise behaviors of metabolic syndrome. Conclusions: These findings demonstrate that education according to stage would increase the perception and motivation toward healthier behavior particularly for the elderly with lower perception levels of metabolic syndrome.

• 보건교육건강증진학회지
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• 제27권4호
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• pp.7-16
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• 2010

Objectives: To obtain a more intensive understanding smoking behaviors of young adolescent in the contexts of schools which they attend, this study examined the effects of individual and school level factors divided into psychological and social factors respectively. Methods: Multilevel logistic regression analysis was used to test the effects of school smoking rates on 1 year smoking experience of individual pupils in a sample of 3,449 students from 100 middle schools in Korea. Results: The results of multilevel analysis revealed the importance of social factors in three environments. Especially the social factors in school level, which were sense of school membership and school smoking rate, explained the variances between groups dropping the school effect from 0.194 to 0.046. Conclusion: This study suggests that adolescents' smoking behaviors are related to the multi dimensional and multi level factors. To reduce young adults' smoking rate, school level intervention should not be ignored.

• 가족자원경영과 정책
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• 제2권1호
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• pp.167-180
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• 1998

This study examines health and life satisfaction of the married female production workers(Mfpw). The data of 370 Mfpw in manufacturing sector in Taegu are collected by using questionares in August, 1995. Health scale measured by Todai Health Index is composed physical health and mental health. There are three satifsfaction areas-individual life satisfaction, family life satisfaction, and job satisfaction-in the overall life satisfaction scale. The findings of this study are as follows: 1) Mfpw’s total health conditions are poor. Especially physical health is worse than mental health. Physical health is influenced by age and purpose of attaining job, while mental health is influenced by purpose of attaining job. Mfpw who get the job for family financial needs have poor physical and mental health. 2) The overall life satisfaction level of Mfpw is lower than middle point : their family life satisfaction level is the heigest and their individual life satisfaction level is the lowest. Family income, purpose of attaining job and work place environment have effect on the level of overall life satisfaction. Mfpw who have the higher family income, get the job by non-economic motivations and work in good work place environment show the higher life satisfaction level.

• 한국음향학회지
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• 제39권5호
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• pp.424-434
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• 2020

본 논문은 콘텐츠 플랫폼에서 절대음량을 산출하는 알고리즘을 서술한다. 절대음량은 개별 음원을 대표하는 하나의 음량이며, 실용적인 범위 내에서, 음원파일 자체의 디지털 영역과 스피커로 출력되는 물리 영역의 음량단위를 통합하여 활용할 수 있도록 설계한 개념이다. 이 개념이 콘텐츠 플랫폼 등에서 실제로 활용되기 위해서는 마스터링 엔지니어의 청음을 거치지 않아도, 자동으로 절대음량 수치를 도출할 수 있어야 한다. 사람이 개별 단일 음원의 대표 음량을 인지하는 핵심 파라미터는 "주파수, 최대에너지, 에너지 변동 계수, 인지가중 에너지 분포도" 영역이며, 가중치 정규화를 통하여 절대음량 수치를 산출하였다.

• 지능정보연구
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• 제17권4호
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• pp.213-226
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• 2011

글로벌 공급사슬 환경에서 글로벌하게 분산 조달, 생산, 유통하게 됨에 따라 전체 공급사슬의 스케줄을 최적화하기 위해서 공급사슬상의 개별 기업 혹은 공장의 스케줄링 최적화뿐만 아니라 각 개별 기업 혹은 공장의 스케줄을 긴밀하게 연계하는 것이 필요하게 되었다. 이는 경쟁과 협력을 동시에 하는 개별 기업 혹은 공장을 개별 에이전트로 보고 각 에이전트간 커뮤니케이션을 통해 개별 에이전트가 관할하는 스케줄러의 스케줄을 조정함으로써 가능해진다. 하지만 전통적인 스케줄링 연구는 개별 스케줄러의 최적화에 집중되어 있고, 에이전트 연구는 스케줄링 도메인에 적용한 예가 제한적이며 이 예도 개별 스케줄러 내의 최적화에 적용하거나 실제 현장 문제가 아닌 실험실 문제 수준에 그치고 있다. 따라서 본 연구에서는 전체 글로벌 공급사슬 스케줄의 최적화를 위해 개별 기업 혹은 공장 스케줄러의 스케줄링을 연계하는 경쟁협력 스케줄링을 위한 에이전트 기반 플랫폼을 구축하였다. 글로벌 공급사슬에서 경쟁협력 스케줄링을 위한 에이전트 기반 플랫폼을 구축하기 위해 첫째, 경쟁협력 스케줄링 분류 체계를 확립하고, 둘째, 경쟁협력 스케줄링을 위한 에이전트를 설계하고, 셋째, 경쟁협력 스케줄링을 위한 지식기반 의사결정 모델을 개발한 후, 넷째 조선산업에 적용 가능한 프로토타입 시스템을 개발했다. 이를 통해 글로벌 공급사슬상의 전체 스케줄의 품질과 에이전트간 커뮤니케이션의 노력에 대한 균형점을 찾을 수 있다. 이를 통해 공급사슬내 개별 기업 혹은 공장의 부분 최적화를 극복할 수 있는 대안을 제시할 것으로 기대한다.

• Asia pacific journal of information systems
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• 제18권3호
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• pp.1-20
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• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• 보건교육건강증진학회지
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• 제29권2호
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• pp.13-21
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• 2012

Objectives: The aim of the study was to identify the effects of a community-level individual health counseling program for community. Methods: Data included baseline demographics, blood pressure, blood sugar, waist circumference, total cholesterol and health behavior index(body mass index, dietary practice guidelines score, physical activity, high-risk drinking) collected at public health centers in Chungnam province from January to September, 2011. Data obtained from the individual health counseling program in Chungnam province were analyzed using Wilcoxon Signed Rank Test and McNemar Test. Results: After the individual health counseling intervention, the results of health measurement index; systolic blood pressure, diastolic blood pressure, total cholesterol, waist circumference decreased in the health risk group, while total cholesterol and waist circumference decreased in the disease management group. Health behavior change in both groups. Body mass index, moderate physical activity, dietary practice guidelines scores were improved. Conclusions: These results indicate that the individual health counseling program for community was effective in improving health behaviors and status. The results demonstrate that step-by-step counseling program development and intervention studies are needed.

• 천문학논총
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• 제12권1호
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• pp.185-196
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• 1997

We present a code which identifies individual clouds in crowded region using IMFORT interface within Image Reduction and Analysis Facility (IRAF). We define a cloud as an object composed of all pixels in longitude, latitude, and velocity that are simply connected and that lie above some threshold temperature. The code searches the whole pixels of the data cube in efficient way to isolate individual clouds. Along with identification of clouds it is designed to estimate their mean values of longitudes, latitudes, and velocities. In addition, a function of generating individual images (or cube data) of identified clouds is added up. We also present identified individual clouds using a $^{12}CO$ survey data cube of Galactic Anticenter Region (Lee et al. 1997) as a test example. We used a threshold temperature of $5\sigma$ rms noise level of the data With a higher threshold temperature, we isolated subclouds of a huge cloud identified originally. As the most important parameter to identify clouds is the threshold value, its effect to the size and velocity dispersion is discussed rigorously.

• 영어어문교육
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• 제11권4호
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• pp.237-259
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• 2005

Secondary English Education in Korea is implemented according to the 7th National Curriculum. The 7th National English Curriculum pursues to achieve communicative competence considering individual differences. According to the research, using various multimedia in English education enhances English proficiency and allows effective individual-based learning. The purpose of this study is to investigate the implementation of applying multimedia in English education within the framework of the 7th National Curriculum. For this purpose, a questionnaire-based survey was conducted in 2005 with 145 secondary English teachers in Kyunggy Province. The results showed that multimedia was not integrated in English education effectively, and individual based-learning was not implemented effectively, either.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2006년도 추계공동학술대회
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• pp.279-286
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• 2006

Since 1990's, many enterprises have implemented ERP System. Especially, they want to become an advanced company use ERP implementation. Already, ERP system come to high level which is stabilized and support independent business process of many industry sectors. Although most companies had previous good plans, but those are not satisfied. Because of failed to change management and had many problem about Project team operation. Therefore, important success factors for ERP project are change management and organization activation for Project team. The purpose of this study is suggest to improve method about team activation through analysis the Project team member's individual personality as a factor that makes the success of Project team. This paper studied success factors of project team and plan for organization activation. The results of this study can be used for a successful implementation of the ERP system as make of Project team consider of individual personality and administer a Project team.