• Journal of the Korean Home Economics Association
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• v.40 no.6
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• pp.197-211
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• 2002

This study constructed a family life education program designed to help divorced parents. The purpose of this research was to develop long term education program for post-divorce adjustment. This program is consisted of 6 sessions aiming for understanding the grief process for adults and the six station of divorce, the recovery through forgiveness, children's response to divorce and coping strategy, the opened mind of parent-child relation, enhancing the self-esteem, the healthy single parent. We expect this program to be helpful in helping divorced parents'post-divorce adjustment, improving parent-child relation and helping future life of divorced parents.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.65-69
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• 1992

In this paper, an implementation of neuro-controller with an application of artificial neural network for an adjustment and tuning process for the completed electronics devices is presented. Multi-layer neural network model is employed with the learning method of error back-propagation. For the intelligent control of adjustment and tuning process, the neural network emulator (NNE) and the neural network controller(NNC) are developed. Computer simulation reveals that the intelligent controllers designed can function very effectively as tools for computer aided adjustment system. The applications of the controllers to the real systems are also demonstrated.

• Journal of the Korean Home Economics Association
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• v.38 no.5
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• pp.55-78
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• 2000

The purpose of this project was to provide social adjustment programs for North Korean residents who might migrate into South Korea when free transmigration is allowed in the process of reunification. This study was composed of three parts. First, present social adjustment programs for defectors from North Korea were reviewed. Second, South Koreans attitude toward social adjustment programs for migrated North Koreans in the future was identified based on empirical survey research. Third, the social adjustment programs for migrated North Koreans were discussed from results of the depth interviews which were carried out with 10 North Korean defectors. To support migrated North Koreans' social adjustment in South Korea, this study proposed the first stage village which would have characteristic of group home. Education programs to support social adjustment of migrated North Koreans were developed according to their social adjustment stages. In the middle stage of adjustment model, education programs on living culture in South Korea could be adopted. Education programs related to the various aspects of living culture including consumption, clothing, food, housing, family, child rearing, adolescent education were specified and discussed in detail.

• Journal of Korean Society for Quality Management
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• v.45 no.2
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• pp.293-306
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• 2017

Purpose: In this study, an optimal design level of influencing factors on semiconductor polishing process was determined to minimize flexion of both sides on wafers. Methods: First, significant interactions are determined by the stepwise regression method. ANOVA analysis on SN ratio and mean of dependent variable are performed to draw mean adjustment factors. In addition, the optimal levels of mean adjustment factors are decided by comparing means of each level of mean adjustment factors. Results: As a result of ANOVA, a mean adjustment factor was determined as a width of formed flexion on the plate. The mean of the difference has the nearest to 0 in the case when the width of formed flexion has level 2 (4mm). Conclusion: Optimal design levels of semiconductor polishing process are determined as follows; (i) load applied to the wafer carrier has a level 1 (3psi), (ii) load applied to the wafer has a level 1(3psi), (iii) the amount of slurry supplied during polishing has a level 3 (300 co/min), (iv) the width of formed flexion on the plate has level 2 (4mm).

• Proceedings of the KSRS Conference
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• v.1
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• pp.500-503
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• 2006

To adjust the discrepancy between Light Detection and Ranging (LIDAR) strips, previous researches generally have been conducted using conjugate features, which are called feature-based approaches. However, irrespective of the type of features used, the adjustment process relies upon the existence of suitable conjugate features within the overlapping area and the ability of employed methods to detect and extract the features. These limitations make the process complex and sometimes limit the applicability of developed methodologies because of a lack of suitable features in overlapping areas. To address these drawbacks, this paper presents a methodology using area-based algorithms. This approach is based on the scheme that discrepancies make complex the local height variations of LIDAR data whithin overlapping area. This scheme can be helpful to determine an appropriate transformation for adjustment in the way that minimizes the geographical complexity. During the process, the contour tree (CT) was used to represent the geological characteristics of LIDAR points in overlapping area and the Iterative Closest Points (ICP) algorithm was applied to automatically determine parameters of transformation. After transformation, discrepancies were measured again and the results were evaluated statistically. This research provides a robust methodology without restrictions involved in methods that employ conjugate features. Our method also makes the overall adjustment process generally applicable and automated.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.87-97
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• 2019

Data mining technology is applied to various fields because it is a technique for analyzing vast amount of data and finding useful information. In this paper, we propose a big data analysis method that uses Apriori algorithm, which is a data mining technique, to find the related factors that have negative and positive influences on school adjustment. Among Korea Child and Youth Panel Survey(KCYPS), data related to adjustment to school life and data showing parental inclinations were extracted from the data of fourth grade elementary school students, first year middle school students, and high school freshman students, respectively and we have mapped the useful association rules among them. As a result, the factors affecting school adjustment were different according to the timing of the growth process, we were able to find interesting rules by looking for connections between rules. On the other hand, the factors that positively influenced school adjustment were not significantly different from each other, and overall, they were associated with positive variables.

• Journal of Korean Society for Quality Management
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• v.33 no.1
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• pp.22-31
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• 2005

With the common objective to improve process productivity and product quality, statistical process control (SPC) and engineering process control (EPC) have been widely used in the discrete-parts industry and the process industry, respectively. The major focus of SPC is on process monitoring, while that of EPC is on process adjustment. The emergence of the hybrid industry necessitates a synergistic combination of the two methods for an effective process control. This paper investigates the existing studies on SPC, EPC, and the integration of the two methods. This paper also presents future research issues in this field.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.723-729
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• 2005

Traditional statistical process control(SPC) applied to discrete part industry in the form of control charts can look for and eliminate assignable causes by process monitoring. On the other hand, engineering process control(EPC) applied to the process industry in the form of feedback control can maintain the process output on the target by continual adjustment of input variable. This study presents controlling and monitoring rules adopted variable sampling interval(VSI) to change sampling intervals in a predetermined fashion on the predicted process levels for integrated EPC and SPC systems. Twelve rules classified by EPC schemes(MMSE, constrained PI, bounded or deadband adjustment policy) and type of sampling interval combined with EWMA chart of SPC are proposed under IMA(1,1) disturbance model and zero-order (responsive) dynamic system. The properties of twelve control rules under three patterns of process change(sudden shift, drift and random shift) are evaluated and discussed through simulation and control rules for integrated VSI EPC and SPC systems are recommended.

• Korean Journal of Child Studies
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• v.26 no.2
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• pp.15-25
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• 2005

This research is focused on the influence of internalization problem and attachment to parents on the adjustment to school life, as well as on the attachment to parents as moderators in the influence of the process of internalization problem on the adjustment to school life. To verify the hypothesis, a survey research method was applied using stratified cluster sampling method, and focusing on middle school students in Seoul. Eleven schools were selected randomly from each of the eleven District Offices of Education in Seoul, and data were collected from 1,200 students. The data were analyzed by using the T-test and hierarchical regression methods, and the results are as follows. First, the internalization problem has negatively affected the adjustment to school life. Secondly, the moderators of the attachment to parents in the adjustment to school life were investigated. Through the above mentioned analysis, it can be deducted that, intervention with internalization problem is required in order to promote the adjustment to school life, and the importance of the attachment to parents should be addressed in the intervention for improving adjustment to school life.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.2783-2804
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• 2021

In the network function virtualization environment, dynamic changes in network traffic will lead to the dynamic changes of service function chain resource demand, which entails timely dynamic adjustment of service function chain resource configuration. At present, most researches solve this problem through virtual network function migration and link rerouting, and there exist some problems such as long service interruption time, excessive network operation cost and high penalty. This paper proposes a dynamic adjustment method of service function chain resource configuration for the dynamic changes of network traffic. First, a dynamic adjustment request of service function chain is generated according to the prediction of network traffic. Second, a dynamic adjustment strategy of service function chain resource configuration is determined according to substrate network resources. Finally, the resource configuration of a service function chain is pre-adjusted according to the dynamic adjustment strategy. Virtual network functions combination and virtual machine reusing are fully considered in this process. The experimental results show that this method can reduce the influence of service function chain resource configuration dynamic adjustment on quality of service, reduce network operation cost and improve the revenue of service providers.