• 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.

• Korean Management Science Review
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• v.17 no.1
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• pp.87-116
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• 2000

The Purpose of the current study is to understand population learning with coercive isomorphism in the Korean Business Groups. Can we observe isomorphic phenomena by coercive isomorphism\ulcorner Why do these happen\ulcorner What mechanisms are embedded in the coercive isomorphism. To answer these questions this study focused on the two Korea's largest Chaeblos the Samsung and Hyundai. An empirical study to compared daily routines used in these two Chaeboles and contents analysis on the founders' characteristics were performed. Three major mechanisms were suggested as main processes to impact the formation of the coercive isomorpism in the two Korean Chaebols. Research implications were discussed at the end of study.

• Journal of Korean Society for Quality Management
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• v.23 no.3
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• pp.126-139
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• 1995

We describe a formal approach to the construction of optimal classification rule for the two-group normal classification with equal population mean problem. Based on the utility function of Bernardo, we suggest a balanced design for the classification and construct the optimal rule under the balanced design condition. The rule is characterized by a constrained minimization of total risk of misclassification, the constraint of which is constructed by the process of equation between expected utilities of the two group conditional densities. The efficacy of the suggested rule is examined through numerical studies. This indicates that, in case little is known about the relative population sizes, dramatic gains in accuracy of classification result can be achieved.

• Health Policy and Management
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• v.27 no.3
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• pp.267-271
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• 2017

This year marks the 40th anniversary of the introduction of National Health Insurance (NHI) which has contributed to improving public health and accessibility. This article aims to show the trends of main indicators during the last 40 years. NHI has achieved rapid expansion of target population (1977-1989). The percentage of population covered increased from 8.8% in 1977 to 94% in 1990. The average number of visit days per person was 0.75 in 1977 but significantly increased to 31.11 in 2015. In 2015, NHI revenues were 52.4 trillion won and expenditures were 48.2 trillion won which is 9.5 times and 9.6 times higher than in 1995. NHI achieved universal coverage in short period of time and has contributed to improving the healthcare status. However, there still remain problems including low-benefit coverage and high out of pocket money. Therefore, the effort to reform these problems is needed.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.202-208
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• 2008

The objectives of this study are to collect the population of each cooling system for gas and electric driven systems, and propose sample design for five cooling systems; ice storage systems, system air-conditioning system, turbo system as electric driven cooling systems, and absorption system and Gas driven Heat Pump (GHP) system as gas driven cooling systems. The sample design are carried out based on types of business, capacity, installation region and year. This study proposes criterion of the sample design for cooling systems for each energy source.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.3
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• pp.43-59
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• 1995

This paper presents a method for estimating the population variability distribution of the failure parameter (failure rate or failure probability) for each failure mode considered in PSA (Probabilistic Safety Assessment). We focus on the utilization of generic estimates from various industry compendia for the estimation. The estimates are complicated statistics of failure data from plants. When the failure data referred in two or more sources are overlapped, dependency occurs among the estimates provided by the sources. This type of problem is first addressed in this paper. We propose methods based on ML-II estimation in Bayesian framework and discuss the characteristics of the proposed estimators. The proposed methods are easy to apply in real field. Numerical examples are also provided.

• Journal of Family Resource Management and Policy Review
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• v.6 no.1
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• pp.35-51
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• 2002

This study is the basic step of including the economical value of household labor into the existing GDP. Therefore this study analyzes statistical data; $\mathbb{\ulcorner}$Economical Active Population Survey$\mathbb{\lrcorner}$, $\mathbb{\ulcorner}$Time Used Survey$\mathbb{\lrcorner}$, $\mathbb{\ulcorner}$Basic Wage Structural Survey$\mathbb{\lrcorner}$, and $\mathbb{\ulcorner}$City Household Survey$\mathbb{\lrcorner}$ for that step and will help people to reconsider the importance of the economical value household work. Economical Active Population Survey classifies housework as economically nonoproductive activity Time Use Survey does not have an clear classification for action. Basic Wage Structural Survey must give subdividable information on wage. City Household Survey should include more details and more data of household durables.

• Journal of Korean Society for Quality Management
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• v.21 no.1
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• pp.35-43
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• 1993

The principal objective of a sampling plan is to make efficient use of the budget allocated and to obtain as precise an estimate of a population parameter as possible. In order to estimate the proportion of defectives produced or to determine some measure of product Quality, it is necessary to select random samples which represent a population parameter of the process. In this case, the two stage sampling is more efficient and convenient than simple random sampling. Therefore this paper aims to propose the design procedures of two stage sampling plan to obtain a representative samples in considering the sampling precision under the restricted sampling unspection cost.

• Journal of Yeungnam Medical Science
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• v.35 no.1
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• pp.27-35
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• 2018

Diabetes and depression are serious chronic conditions. As a result of their increasing prevalence, diabetes and depression, together with population growth and aging, are public health issues. The rate of depression in adults with either type 1 diabetes or type 2 diabetes is high relative to the general population. The coexistence of diabetes and depression has attracted much interest. Although it is unclear whether diabetes and depression are causally linked, most studies have shown that the association between diabetes and depression might be bidirectional. Currently, emotional well-being is becoming an increasingly important aspect of diabetes care and self-management. Psychiatric disorders and diabetic distress among people with diabetes may increase the risk of diabetes complication and mortality. Thus, assessment and appropriate management of depression in people with diabetes should be considered to achieve psychological well-being and optimize medical outcomes.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.89-98
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• 2024

Due to the increase in population and consequently the increase in the production of plastic waste, recovery of this part of the waste is an undeniable necessity. On the other hand, the recycling of plastic waste, if it is placed in a systematic process and controlled, can be effective in creating jobs and maintaining environmental health. Waste collection in many large cities has become a major problem due to lack of proper planning with increasing waste from population accumulation and changing consumption patterns. Today, waste management is no longer limited to waste collection, but waste collection is one of the important areas of its management, i.e. training, segregation, collection, recycling and processing. In this study, a systematic method based on machine vision for sorting plastic bottles in different colors for recycling purposes will be proposed. In this method, image classification and segmentation techniques were presented to improve the performance of plastic bottle classification. Evaluation of the proposed method and comparison with previous works showed the proper performance of this method.