• Journal of Digital Convergence
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• v.10 no.1
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• pp.185-194
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• 2012

Population aging in Korea is in progress rapidly, though it isn't recognized as a critical situation now. Absolute scale of population will decrease since 2030 and that of 2050 will stay in 2005 levels. But most serious problem is that the core working age group, 25-54 ages will begin to decrease since 2012 because of low fertility and population aging. In these situation of population aging, we will face inevitably great amount of labor force shortages and we should build up policy alternatives for solving these problems. I proposed some policy alternatives. firstly, pronatalism policies including state-supported child-care system for preventing decreases of absolute scale of population. Second, facing up to labor shortages under population aging, I proposed policy alternatives for increasing labor market participation, measured by employmeny rate, of aged (or aging) people including wage-peak system of extending retiring ages and women including lowering opportunity costs of women labor market participation rates, given laboer forces. And to conclude, we should approach to the aging problems by steady state equilibrium ecnomic growth, under inevitable population aging.

• Korean Journal of Clinical Pharmacy
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• v.21 no.2
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• pp.131-137
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• 2011

The purpose of this study was to evaluate the clinical efficacy of a standardized special ethanol extract from Gynostemma pentaphyllum as a management for anxiety and stress of normal population. This is a two-arm, parallelgroup, randomized, double blind clinical trial comparing Gynostemma pentaphyllum extract 200 mg bid (GP-EX, n=48) or placebo bid (n=54). The main outcome measures were the decrease in anxiety sensitivity index (ASI), the State version (S-STAI) of the Stait-Trait Anxiety Inventory (STAI) and the Trait version (T-STAT) of the STAI from baseline over a 6 weeks treatment period. In more anxious group (S-STAI50 or ASI19), the anxiety in group with GP-EX was decreased significantly than one in normal population with placebo [S-STAI50: T-STAI = from $57.7{\pm}6.5$ ($mean{\pm}S.D.$) to $46.8{\pm}11.2$ in normal population with GP-EX, p=0.002 vs. from $54.1{\pm}9.9$ to $49.0{\pm}9.6$ in normal population with placebo, p>0.05; ASI19: T-STAI = from $47.2{\pm}12.0$ to $42.4{\pm}11.1$ in normal population with GP-EX, p=0.022 vs. from $48.7{\pm}11.5$ to $46.0{\pm}10.4$ in normal population with placebo, p>0.05]. The most frequently reported adverse reactions considered possibly related to treatment were mild gastrointestinal events. GP-EX is more effective than placebo and is well tolerated as a therapy for anxiety and stress of normal population.

• Korean Journal of Plant Resources
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• v.25 no.1
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• pp.72-79
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• 2012

Vaccinium oldhami Miq. is a Korean native tree, which is deciduous and shrub tree with broad leaf. It grows 1~4m in height generally. Ecologically, this tree grows well in shady place even in barren soil. Also, the tree has resistance to cold and dry, which tend to form a little community. This research investigates quantitative morphological characteristics of leaf and fruit among the V. oldhami in South Korea and then considers its relationship on the basis of raw data among the 10 populations. This study will give us invaluable information about growing conditions, reasonable management and breeding by selection of V. oldhami in South Korea. The main results obtained from this study are summarized as follows; Leaf size of Mudeung population was larger than other populations. Naebyeon population was smaller in size of the leaf than other populations. Anmyeondo population was larger in fruit characteristics compared with other populations and Deogyu population was the smallest among populations. According to cluster analysis based on the leaf and fruit morphological characteristics, the natural V. oldhami populations were classified into four groups such as the first group of Kumo population, the second group of Mudeung population, the third group of Anmyundo, Daedun, Doolyun population and the fourth group of the other five populations.

• Journal of the Korea Safety Management & Science
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• v.6 no.1
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• pp.187-199
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• 2004

To suggest a more efficient way of delivering information for process control under computerized environment, population stereotypes of colors were tested with 57 Korean subjects. The subjects were asked to associate 11 colors salient at electronic video displays with 55 pairs of adjectives that might be used when they explain the current state of process. The levels of association were evaluated with semantic differential methods by 7 point scales. Based on the multivariate analyses, the 55 pairs of adjectives were grouped into three distinct dimensions. The emotional maps of the 11 colors with respect to each dimension were presented. The Quantitative relationships between the colors and subjective impressions were also calculated by quantification theory I. On the basis of these color associations, it was suggested a general guideline for color coding when delivering process information

• Korea Journal of Hospital Management
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• v.13 no.1
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• pp.1-23
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• 2008

In the shortest period of time, we achieved both industrialization and democratization. We also achieved good performance in health care sector. Whole population are covered by health insurance since 1989 and health outcomes, such as infant mortality, life expectance show good level. However, health care system has several problems, rapidly increasing rate of health care expenditure, dissatisfaction of both consumers and suppliers. Current health care system does not reconcile with market competition principle. Causes of these problems originated from 1977 paradigm which was formed to expand health insurance to whole population within short period. Dominant assumption of 1977 paradigm is to assure equitable access of health care by government's command and control. We urgently demand to reform the 1977 paradigm to suitable in 21th century. Our economy entered into a road to advancement. We have concerns how President Lee's administration reform health care system to harmonize with economic development and to achieve advancement in health care sector.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.614-620
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• 2005

Ensemble에서 feature selection은 각 classifier의 학습할 데이터의 변수를 다르게 하여 diversity를 높이며, 이것은 일반적인 성능향상을 가져온다. Feature selection을 할 때 쓰는 방법 중의 하나가 Genetic Algorithm (GA)이며, GA-SVM은 GA를 기본으로 한 wrapper based feature selection mechanism으로 response model과 keystroke dynamics identity verification model을 만들 때 좋은 성능을 보였다. 하지만 population 안의 후보들간의 diversity를 보장해주지 못한다는 단점 때문에 classifier들의 accuracy와 diversity의 균형을 맞추기 위한 heuristic parameter setting이 존재하며 이를 조정해야만 하였다. 우리는 GA-SVM 알고리즘을 바탕으로, population안 후보들의 fitness를 측정할 때 accuracy와 diversity 둘 다 고려하는 fitness function을 도입하여 추가적인 classifier 선택 작업을 제거하면서 성능을 유지시키는 방안을 연구하였으며 결과적으로 알고리즘의 복잡성을 줄이면서도 모델의 성능을 유지시켰다.

• Korean Management Science Review
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• v.17 no.2
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• pp.39-54
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• 2000

This paper presents a causal forecasting model using guided genetic algorithm in continuous manufacturing process. The guide genetic algorithm(GGA) is an extended genetic algorithm(GA) using penalty function and population diversity index to increase forecasting accuracy. GGA adds to the canonical GA the concept of a penalty function to avoid selecting the unproductive chromosomes and to make a proper searching direction. Also, GGA modifies the current population using the similarity of chromosomes to avoid falling into the trap of local optimal solution. For investigation GGA performance, we used a set of real data that was collected in local glass melting processes, and experimental results show the proposed model results in the better forecasting accuracy than linear regression model and canonical GA.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.4
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• pp.111-122
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• 1999

In this paper, we consider a queueing network model. where the population constraint within each subnetwork is controlled by a semaphore queue. The total number of customers that may be present in the subnetwork can not exceed a given value. Each node has a constant service time and the arrival process to the queueing network is an arbitrary distribution. A major characteristics of this model is that the lower layer flow is halted by the state of higher layer. We present some properties that the inter-change of nodes does not make any difference to customer's waiting time in the queueing network under a certain condition. The queueing network can be transformed into a simplified queueing network. A dramatic simplification of the queueing network is shown. It is interesting to see how the simplification developed for sliding window flow control, can be applied to multi-layered queueing network.

• Korean Management Science Review
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• v.17 no.2
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• pp.75-86
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• 2000

In evolutionary algorithm, there exist various models for the evolution of the population with respect to schemes and strategies for reproduction. In the application of the algorithm to a specific problem, one model suitable to the problem is to be properly chosen and a program expert or a software is needed to help implement and test a designed algorithm. In this study, abject oriented modeling and the class library for simple evolutionary algorithms(SEA) with one population is developed. The library proposed here can be used as a generalized tool for solving problems in a wide range of domains.

• Korean Management Science Review
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• v.20 no.1
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• pp.51-64
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• 2003

The JSSP (Job Shop Scheduling Problem) Is one of the most general and difficult of all traditional scheduling problems. The goal of this research is to develop an efficient scheduling method based on genetic algorithm to address JSSP. we design scheduling method based on SGA (Single Genetic Algorithm) and PGA (Parallel Genetic Algorithm). In the scheduling method, the representation, which encodes the job number, is made to be always feasible, initial population is generated through integrating representation and G&T algorithm, the new genetic operators and selection method are designed to better transmit the temporal relationships in the chromosome, and island model PGA are proposed. The scheduling method based on genetic algorithm are tested on five standard benchmark JSSPs. The results were compared with other proposed approaches. Compared to traditional genetic algorithm, the proposed approach yields significant improvement at a solution. The superior results indicate the successful Incorporation of generating method of initial population into the genetic operators.