• Journal of Labour Economics
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• v.31 no.1
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• pp.29-57
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• 2008

We construct a unique panel data by using Korean Economically Active Population Survey (KEAPS) from 2003 to 2007 to estimate the returns to different types of job mobility among men. By adopting Mincer(1986)'s method, we estimate the wage change to job mobility after controlling the sample selection bias. There are four different types of job mobility that are concerned in the study: (1) voluntary job-to-job changes without experiencing unemployment, (2) voluntary job changes with experiencing unemployment, (3) involuntary job changes due to layoffs, and (4) involuntary job changes due to discharges. Our findings indicate that Korean men who changed jobs without experiencing unemployment realized wage gains of 7% while those who changed jobs through unemployment period lost 10% of their wages. Among those who changed jobs involuntarily and went through unemployment, the workers who discharged from the previous jobs realized substantially greater wage loss.

• Journal of the Korean Home Economics Association
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• v.36 no.1
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• pp.65-79
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• 1998

The purposes of this study were to establish a conceptual model on the woman's labor force participation and mobility in the labor market and to analyze the correlation between them. Included in those models were two independent variable sets. The one was related to household's financial conditions and the other was associated to the woman's role such as marital status, the number of children and the existence of young children. KHPS's national data was used and the Binomial Probit Model and Bivariate Probit Model were employed to analyse the effects of independent variables and the correlations between two dependent variables. The results of this study were as follows. The rate of women's labor force participation and the percentage of mobility willingness were 15.4% and 22.0%. Among the variables which have affected women's labor force participation were total wage income, non-wage income, expenditure on children's education and the subject judgement of their financial status. The existence of children under the age of 6 and marital status had significant influences on women's mobility willingness. The correlation between women's labor force participation and mobility willingness was very significant statistically. These findings clarified the status of woman as a secondary worker and pointed that a woman's economic activity would be subject to the woman's condition rather than her human capital.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.426-429
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• 2015

최근 급격히 증가한 모바일 기기로 인하여 발생되는 데이터/제어 트래픽은 LTE/EPC 네트워크에서 중앙에 과다한 트래픽 수용문제가 중요 이슈로 부각되고 있다. 기존의 Centralized Mobility Management(CMM) 기반의 LTE/EPC 네트워크에서 Mobility Anchor 역할을 수행하는 Packet Data Network Gateway (P-GW)에서는 데이터 트래픽 과부하가 발생한다. 또한 Distributed Mobility Management (DMM) 기반의 LTE/EPC 네트워크에서 분산된 Mobility Anchor 역할을 수행하는 PDN Edge Gateway (P-EGW)에서는 제어 트래픽의 과부하가 발생한다. 본 논문에서는 이러한 문제를 해결하기 위하여 CMM 기반과 DMM 기반을 결합한 새로운 Software Defined Network (SDN) 기반의 LTE/EPC 네트워크 이동성 관리 기법을 제안한다. 이를 위하여, P-EGW를 네트워크 내에 분산 배치하고 중앙에 P-GW를 배치한다. SDN 컨트롤러는 EPC의 역할도 수행하며 UE의 이동성에 따라 적절한 CMM 기법과 DMM 기법을 이용하도록 하는 기법을 제안한다. 또한, 제안하는 새로운 LTE/EPC 네트워크 구조와 기존의 CMM기반의 LTE/EPC 네트워크 구조, DMM 기반의 LTE/EPC 네트워크 구조를 핸드오버 지연시간과 데이터 전송시간 측면에서 성능 비교 분석을 한다.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.78-86
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• 2019

Recently, IoT researches using sensor data based on embedded networks in various fields including healthcare and sports have been continuously attempted. This study analyzes golf ball mobility to support IoT application in golf sports field. Generally, since the difference in density occurs due to the condition of the inner material and the abnormal state at the time of the outer skin joining during the manufacturing of the golf ball, the weight of each subset is equal for any two points with the same radius in the sphere cannot be guaranteed. For this reason, the deflected weight of the sphere has the undesirable effect of hitting the ball in a direction in which the weight of the ball is heavy. In this study, it is assumed that there is a unique center of gravity of the ball, and even if the golf ball cannot be manufactured perfectly, it wants to establish the basic principle to accurately recognize or mark the putting line based on the center of gravity. In addition, it is evaluated how the mobility of the golf ball with a deviation from the center of gravity of the golf ball affects the progress path (or movement direction) and the moving distance (or carry distance) after the golfer hits. The basic model of the mobility of the golf ball can help the golfer exercise model and the correlation analysis. The basic model of the mobility of the golf ball can help the golfer exercise model and the correlation analysis.

• Journal of Korean Society on Water Environment
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• v.27 no.1
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• pp.115-119
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• 2011

The mobility of groundwater in the soil environment has an important role in the soil environment and absorption of plant. Therefore, studies on the mobility of groundwater considering the physical and chemical properties of soil is very important. In this study, movement of water due to change in soil particle size were observed by capillary rise. The height of the capillaries was measured according to capillary diameter, temperature and solution concentration. The inner diameter of each capillary itself is 0.012, 0.016, 0.024, 0.027 cm, and experiments were performed at $22^{\circ}C$. As a result, the height of the capillaries decreased with increasing capillary diameter, and the solution temperature but increased with increasing concentration. Changes in the height of the capillaries are interpreted to related with surface tension by the Young-Laplace equation. Also on the mobility of groundwater, the increase of water and soil temperatures can be significant factors caused by ion strength and global warming as well as pores in the soil particles. The results of this study is considered to provide the basic data on the behavior of groundwater in the soil environment.

• Health Policy and Management
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• v.32 no.1
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• pp.53-62
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• 2022

Background: This study was designed to examine regional proportions for people who experienced unmet health care needs due to reduced mobility or unhealthiness and factors associated with experience of unmet health care needs by them. Methods: A total of 11,620 people were retrieved from the Korea Health Panel data (2014-2018). Regional proportions for people who experienced unmet health care needs due to reduced mobility or unhealthiness were estimated using cross-sectional weights and the factors associated with them were analyzed using generalized estimating equation. Results: The number of people who experienced unmet health care needs due to reduced mobility or unhealthiness was estimated as 278,083 in 2018. Women, the aged (65+), below elementary school, single as marital status, low income, bad self-rated health, people with disabilities, and long-term insurance beneficiaries were statistically significantly associated with experience of unmet health care needs due to reduced mobility or unhealthiness. Conclusion: Given high and dispersed demand for visiting health care, government need to expand the infrastructure and finance to facilitate visiting health care.

• Korean Journal of Social Welfare
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• v.61 no.2
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• pp.33-60
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• 2009

This study aimed at examining whether the national rental housing supplied by Korea National Housing Corporation (KNHC) is truly contributing to the upward mobility of housing in low-income households without their own house by comparatively analyzing whether those who moved out of the national rental housing made upward, horizontal or downward housing type mobility. The subjects of this study included 333 people who had moved out of three national rental housing complexes in Cheongju, Chungcheongbuk-do in 2007, which had opened to the first residents two years ago. A telephone survey involving the subjects was carried out. Collected data were analyzed through frequency analysis, cross tabulation analysis and multiple regression analysis, with using the type of residential mobility(downward mobility, horizontal mobility or upward mobility) according to "housing size" and "housing costs" as a dependent variable, and personal and family environment and economic environment as independent variables. According to the results of the analysis, 76.4% of the households made an upward mobility, 1.6% remained little changed, and 22% moved downward in terms of "housing costs," compared to before moving into the national rental housing and while living there. Furthermore, in terms of "housing size" 61.8% of the households moved upward, 16.5% remained little changed and 19.7% moved downward. The variables affecting the upward mobility of housing type included the number of income earners in a household, income earner's occupation and education level. Income earner's amount of income, age and family to support, on the other hand, turned out to have little effect on the upward mobility. Based on the results of the study, the following suggests were made for the supply of effective national rental housing. First, various features of each type of residential mobility should be reflected. Second, national rental housing residents' self-sufficiency should be enhanced to help them move upward in housing type.

• Journal of Preventive Medicine and Public Health
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• v.53 no.6
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• pp.397-404
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• 2020

Objectives: The objective of this study was to demonstrate the effects of community-based social distancing interventions after the first coronavirus disease 2019 (COVID-19) case in Turkey on the course of the pandemic and to determine the number of prevented cases. Methods: In this ecological study, the interventions implemented in response to the first COVID-19 cases in Turkey were evaluated and the effect of the interventions was demonstrated by calculating the effective reproduction number (R_t) of severe acute respiratory syndrome coro navirus 2 (SARS-CoV-2) when people complied with community-based social distancing rules. Results: Google mobility scores decreased by an average of 36.33±22.41 points (range, 2.60 to 84.80) and a median of 43.80 points (interquartile range [IQR], 24.90 to 50.25). The interventions caused the calculated R_t to decrease to 1.88 (95% confidence interval, 1.87 to 1.89). The median growth rate was 19.90% (IQR, 10.90 to 53.90). A positive correlation was found between Google mobility data and R_t (r=0.783; p<0.001). The expected number of cases if the growth rate had not changed was predicted according to Google mobility categories, and it was estimated to be 1 381 922 in total. Thus, community-based interventions were estimated to have prevented 1 299 593 people from being infected. Conclusions: Community-based social distancing interventions significantly decreased the R_t of COVID-19 by reducing human mobility, and thereby prevented many people from becoming infected. Another important result of this study is that it shows health policymakers that data on human mobility in the community obtained via mobile phones can be a guide for measures to be taken.

• Journal of KIISE:Information Networking
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• v.32 no.1
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• pp.34-50
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• 2005

Recently, various proposals for supporting network mobility, which provides efficient Internet access when a network formed within a vehicle moves around as a unit, have emerged. The schemes in those proposals, though, manifest some major drawbacks with respect to scalability: If the number of mobile nodes within a mobile network is large, the handoff latency would increase greatly, causing communication disruption; Data delivery to a node within a nested mobile network nay suffer extremely inefficient pinball routing. We propose a scalable network mobility supporting mechanism named SNEMOS (Scalable NEtwork Mobility Support), which resolves the above two major problems of the existing schemes. The performance of SNEMOS is compared with the existing schemes through extensive simulations. The numerical results show that SNEMOS outperforms the existing schemes with respect to handoff latency hop counts of routing paths, packet delivery time, header overhead in data packets, and signaling overhead.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.8
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• pp.544-554
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• 2014

In this paper, we introduce a cyber-physical intersection systems (CPIS) which intimately interconnects roadside units (RSU) located at intersection, on-board units (OBU) of moving vehicles, and smartphone apps. Based on the architecture of CPIS, we also present a green light optimal speed advisory based on the reference mobility models (GLOSA-RMM) to reduce intersection stopping time (IST) and fuel consumption. Based on several reference mobility models, the GLOSA-RMM determines the appropriate speed advisory by taking into account the current mobility and the intersection traffic light status, and then provides screen/voice GLOSA instructions to minimize the driver's distraction. We show that the GLOSA-RMM can reduce both the IST and the fuel consumption through the numerical results obtained from the prototype of the CPIS consisting of the OBU, the RSU and the smartphone app.