• Korean Journal of Remote Sensing
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• v.33 no.3
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• pp.325-331
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• 2017

In this study, digital elevation models(DEM) of tidal flat, according to different times, was produced by means of the Drone and commercial software in order to measure seawater change during high tide at water-channel in the Hampyung Bay. To correct the produced DEMs of the tidal flat where is inaccessible to collect control points, the DEM matching method was applied by using the reference DEM, that is previously obtained, instead of the survey. After the ortho-image was made from the corrected DEM, the land cover classified image was produced. The changes of seawater amount according to the times were analyzed by using the classified images and DEMs. As a result, it was confirmed that the amount of water rapidly increased as the time passed during high tide.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.135-144
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• 2021

Social and economic polarization such as the collapse of self-employed people and job losses are becoming social problems due to the COVICD-19 crisis, and the role of social enterprises in providing social services to vulnerable people in various business sectors is very important. Social enterprises are complaining of difficulties in sustainability due to the hybrid nature of creating social value and economic value. Support for professionals matching the business sector of social enterprises is urgently needed for sustainability, but support for professionals is very insufficient due to insufficient budget. This study studied how specialized personnel affect the sustainability of social enterprises through the medium of social enterprise characteristics, indicating that specialized personnel affect the expansion and sustainability of the corporate main business sector. Based on the above findings, practical implications of social enterprise financial support projects were presented.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.32-40
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• 2019

Indoor location estimation studies are needed in various fields. The method of estimating the indoor position can be divided into a method using hardware and a method using no hardware. The use of hardware is more accurate, but has the disadvantage of hardware installation costs. Conversely, the non-hardware method is not costly, but it is less accurate. To estimate the location for AR game, you need to get the solution of the Perspective-N-Point (PnP). To obtain the PnP problem, we need three-dimensional coordinates of the space in which we want to estimate the position and images taken in that space. The position can be estimated through six pairs of two-dimensional coordinates matching the three-dimensional coordinates. To further increase the accuracy of the solution, we proposed the use of an additional non-coplanarity degree to determine which points would increase accuracy. As the non-coplanarity degree increases, the accuracy of the position estimation becomes higher. The advantage of the proposed method is that it can be applied to all existing location estimation methods and that it has higher accuracy than hardware estimation.

• Korean Journal of Remote Sensing
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• v.36 no.6_2
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• pp.1537-1549
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• 2020

The ground sample distance of KOMPSAT-3 is 0.7 m for panchromatic band, 2.8 m for multi-spectral band, and the swath width of KOMPSAT-3 is 16 km. Therefore, an image of an area wider than the swath width (16 km) cannot be acquired with a single scanning. Thus, after scanning multiple areas in units of swath width, the acquired images should be made into one image. At this time, the necessary algorithm is called image mosaicking or image stitching, and is used for cartography. Mosaic algorithm generally consists of the following 4 steps: (1) Feature extraction and matching, (2) Radiometric balancing, (3) Seamline estimation, and (4) Image blending. In this paper, we have studied an effective seamline estimation method for satellite images. As a result, we can estimate the seamline more accurately than the existing method, and the heterogeneity of the mosaiced images was minimized.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.519-534
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• 2022

This study attempted to prepare a realistic support policy for the early childhood education field by specifically grasping the reality and perception of the 2019 revised Nuri curriculum play-based Education experience of the childcare center teacher. To this end, individual in-depth interviews were conducted with childcare center teachers in Seoul and Gyeonggi-do, who had the current Nuri curriculum education experience. For the collected data, implications were derived using Hatch's(2002) pattern analysis and interpretative analysis, and Seidman's(2006) interview data analysis. As a result of this study, first, kindergarten and childcare center teacher apply the same integrated revised Nuri curriculum, but childcare center aims for education that considers childcare perspectives and safety more. Second, childcare center teachers had difficulties in educational matching in the process of linking self-directed open play activities in which infants were the main subjects. Third, childcare center teachers' educational understanding of play activities and ability to grasp values contribute to infant interaction and bond growth. In conclusion, there is an urgent need for a national policy plan for teacher education, exchange support, and infant ratio adjustment for effective education implementation of the current Nuri curriculum.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.41-46
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• 2022

This study analyzed the results and implications of the industry-university cooperation human resource nurturing process based on the I-O model for the Motion Graphics major and the Global Hotelier major in Baek seok University. In this study, based on the analysis of the human resources training performance through industry-university cooperation in the motion graphics and hotelier fields for 5 years, what kind of efforts were made for successful human resource training, and the level of performance was analyzed and improvement points were suggested. In this study, four strategies were set for successful industry-university-tailored human resource nurturing: student-industry matching through industry participation in education, industry-university integrated education, education quality advancement, and customized education infrastructure construction. As a result of the analysis, customized human resource training should first be developed through industry demand survey and a mirror-type practice room should be built to fit the corporate environment. Second, it was found that it is possible to be individual only if there is an active participation of industry experts throughout the curriculum such as subjects and non-subjects.

• The Korean Journal of Applied Statistics
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• v.36 no.4
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• pp.323-335
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• 2023

In causal analysis of high dimensional data, it is important to reduce the dimension of covariates and transform them appropriately to control confounders that affect treatment and potential outcomes. The augmented inverse probability weighting (AIPW) method is mainly used for estimation of average treatment effect (ATE). AIPW estimator can be obtained by using estimated propensity score and outcome model. ATE estimator can be inconsistent or have large asymptotic variance when using estimated propensity score and outcome model obtained by parametric methods that includes all covariates, especially for high dimensional data. For this reason, an ATE estimation using an appropriate dimension reduction method and semiparametric model for high dimensional data is attracting attention. Semiparametric method or sparse sufficient dimensionality reduction method can be uesd for dimension reduction for the estimation of propensity score and outcome model. Recently, another method has been proposed that does not use propensity score and outcome regression. After reducing dimension of covariates, ATE estimation can be performed using matching. Among the studies on ATE estimation methods for high dimensional data, four recently proposed studies will be introduced, and how to interpret the estimated ATE will be discussed.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.5 no.4
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• pp.435-442
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• 2015

The purpose of this study is to examine the effect of mentoring program using logic model in university students. We surveyed 40 mentors who participated mentoring program in 2014. Data collection were open-ended questions. Questions was made of with a steps in logic model and content analysis was carried out. The results are as follows: first, according to the step of the inputs, many students questioned said that public relations, selection process, matching, orientations, activity costs was proper. Secondly, in the activities, it was showed that mentor met firstly mentee with teacher in school and mentoring activities comprised 80% of studying and 20% of counseling and experiencing. third, in the outputs, most of participants expressed satisfaction in mentoring period, time, place. Lastly, in the outcomes, this program affected both mentor and mentee with cognitive, emotional and behavior development. Consequentially, this results have influence on improvement of following mentoring programs.

• Journal of the Korean Regional Science Association
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• v.39 no.4
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• pp.3-17
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• 2023

This study aims to comprehensively assess the phenomenon of structural unemployment, with a specific emphasis on unemployment resulting from spatial mismatch, while also exploring potential solutions. Spatial mismatch unemployment presents a unique challenge distinct from unemployment stemming from demand deficient, thus requiring a more multifaceted approach beyond the efforts of individual businesses and national economic recovery policy. To underscore the importance of addressing spatial mismatch, this research seeks to quantify its contribution to overall unemployment. Additionally, we evaluate the effectiveness of local labor markets, a prominent mechanism for alleviating spatial mismatch, categorized by occupation, to assess their effectiveness for addressing this issue. Through this analysis, our study advocates for the development of comprehensive policies within the realm of job-related initiatives, including spatial alignment through inter-regional collaborations, in conjunction with region-specific policies and strategies for job creation.

• Health Policy and Management
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• v.34 no.3
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• pp.249-260
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• 2024

Background: The Republic of Korea's aging population escalates medical and long-term care costs. While prior research has suggested that long-term care might reduce these costs, these studies had limitations in their subjects and duration, making it difficult to generalize the results. This study aims to evaluate cost changes between the long-term care group and the general older adults group after addressing these limitations. Methods: A cohort was derived from the 2015 national population using stratified sampling. Subsequently, 15,114 individuals (7,557 in each group) were identified through 1:1 propensity score matching. The study employed a difference-in-differences analysis to explore variances in medical costs and long-term care benefits post-utilization of long-term care services. Results: Compared to the general older adults group, the long-term care group experienced a reduction in monthly per capita total medical costs by 56,459 Korean won (KRW). Although costs at tertiary and general hospitals increased, those related to long-term care hospitals decreased by 90,687 KRW. Including long-term care benefits, overall expenditures increased by 948,038 KRW. Conclusion: The analysis reveals that the long-term care group faces higher medical costs in acute care than the general older adults group, emphasizing a greater need for medical services within this group. To meet the increasing medical demands of the long-term care group, a collaborative strategy linking community resources, healthcare, and long-term care facilities is imperative. Additionally, developing and implementing preventive health habit management strategies for middle-aged and older adults is essential to diminish the future requirement for long-term care.