• 동아시아경상학회지
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• 제9권2호
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• pp.43-54
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• 2021

Purpose - This study aims to build other studies and research on the perception and association of fair hiring policy and employee job satisfaction. The reviews and further research of the performance appraisal and employee satisfaction topics provided a basis to conduct this study based on the challenges that result from equality hiring perception on the performance appraisal on the job satisfaction by employees. Research design, data, and methodology - The author collected many textual contexts from mostly peer-reviewed academic journals, which means that academic comprehensive integrity can be obtained by qualitative approach for this study with discussing and following a constructive review analysis. The content analysis aims to determine a textural dataset in the longtime frame from the newest textural information. Result - There is little doubt that this study was significant and relevant to the relationship between fair hiring policy and worker's job satisfaction, indicating that an organization that practices a fair hiring policy positively affects employee job satisfaction. After all, the employee needs are well catered for and meet appropriately. Conclusion - This study suggests that fairness extensively relies on the organization's ability to identify and eliminate any form of performance challenges regarding equity and has proved and determined the significant relationship between fair hiring policy and employees' job satisfaction

• 한국보건간호학회지
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• 제36권3호
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• pp.375-388
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• 2022

Purpose: The purpose of this study was to identify the factors influencing depression among married Vietnamese immigrant women living in Korea. Methods: This study was a retrospective review of the dataset from the Korean 2018 National Multicultural Family Survey. The data were analyzed using the Rao-Scott x² test and multiple logistic regression using complex samples analysis. Results: The proportion of married Vietnamese immigrant women subjects in Korea who experienced depression was 27.7%. The factors affecting depression were age, length of stay in Korea, living area, economic status, difficulties in using medical care, difficulties faced during their stay in Korea and Korean language skills relationship with spouse and parents-in-law marital conflicts, cultural differences, their experience of social discrimination, life satisfaction, and meeting with friends from their homeland. Conclusion: The findings in this study indicate that the prevention of depression in married immigrant women in Korea could be aided by acculturation programs that deal with the relationships with their spouses and social supports.

• Advances in nano research
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• 제12권2호
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• pp.223-239
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• 2022

Object detection has always been to pursue objects with particular properties or representations and to predict details on objects including the positions, sizes and angle of rotation in the current picture. This was a very important subject of computer vision science. While vision-based object tracking strategies for the analysis of competitive videos have been developed, it is still difficult to accurately identify and position a speedy small ball. In this study, deep learning (DP) network was developed to face these obstacles in the study of tennis motion tracking from a complex perspective to understand the performance of athletes. This research has used CNN-VGG 16 to tracking the tennis ball from broadcasting videos while their images are distorted, thin and often invisible not only to identify the image of the ball from a single frame, but also to learn patterns from consecutive frames, then VGG 16 takes images with 640 to 360 sizes to locate the ball and obtain high accuracy in public videos. VGG 16 tests 99.6%, 96.63%, and 99.5%, respectively, of accuracy. In order to avoid overfitting, 9 additional videos and a subset of the previous dataset are partly labelled for the 10-fold cross-validation. The results show that CNN-VGG 16 outperforms the standard approach by a wide margin and provides excellent ball tracking performance.

• 토지주택연구
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• 제13권1호
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• pp.11-22
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• 2022

본 논문은 충남 신혼부부의 공공임대주택에 대한 수요를 추정한다. 이는 조사자료와 행정자료를 연계하여 분석함으로써 자료의 한계를 일정 부분 극복한다는 점에서 관련 선행연구와 차별화될 수 있다. 먼저, 충남사회조사 2019년 자료를 이용한 신혼부부의 공공임대주택 입주의향에 대한 이항로짓모형 추정결과는 거주지, 학력수준, 주택유형, 차가 주택점유 여부가 통계적으로 유의한 영향을 미침을 제시한다. 추정된 계수들을 행정을 위한 통계청의 신혼부부통계에 연결하여, 충남 신혼부부의 공공임대주택에 대한 수요량을 추정할 수 있다. 추정결과에 의하면, 충남 전체 신혼부부 43,705쌍의 공공임대주택에 대한 수요는 11,424호이며, 차가주택을 점유하고 있는 신혼부부 21,685쌍에 의한 수요는 9,436호로 추정된다. 향후, 충남도에서 신혼부부를 대상으로 공공임대주택을 공급하고자 하는 주된 이유가 이들의 출산율을 제고하기 위함임을 고려할 때, 공급에 따른 출산율 제고의 효과에 대한 추정을 고민할 필요가 있을 것이다. 다만, 공공임대주택에 대한 수요와 자녀 출산 간 나타날 수 있는 내생성 문제를 통제하기 위한 방법론에 대한 고민이 필요할 것이다.

• 기술혁신학회지
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• 제20권3호
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• pp.546-575
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• 2017

이 연구는 정부의 연구개발(R&D) 지원이 중견기업의 연구개발 투자에 미치는 영향을 살펴보았다. 이를 위해 중견기업 표본과 이에 대응되는 중소기업 표본을 대상으로 하여 패널 데이터를 수집하여 DID(difference-in-differences) 회귀분석 방법을 이용하여 정부 지원의 효과를 분석하였다. 본 연구의 결과에 따르면, 정부의 연구개발 지원은 중견 중소기업의 연구개발 순투자를 전반적으로 증가시켰다. 중견기업과 중소기업을 비교해 보면, 정부의 연구개발 지원이 기업 연구개발 투자를 촉진하는 효과는 중소기업에 비해 중견기업에서 더 크게 나타났으며, 중소기업에서는 유의한 영향을 미치지 못하였다. 또한 규모에 따라서 중견기업을 구분해 보면, 상대적으로 규모가 작은 초기 중견기업 표본에서 정부지원이 기업 연구개발 투자를 촉진하는 효과가 더 크고 유의하였다. 기술역량에 따라서 중견기업을 구분해 보면, 상대적으로 기술역량이 우수한 기업 표본에서 정부연구개발사업 참여에 따른 보조금이 기업 연구개발 투자를 촉진하는 효과가 더 강하게 나타난 반면 기술역량이 낮은 기업 표본에서 조세 지원이 기업 연구개발 투자를 촉진하는 효과가 더 강하게 나타났다. 연구의 결과는 중견기업의 혁신을 지속적으로 촉진하기 위한 정부의 연구개발 정책 및 관련 지원 사업이 필요하며, 중견기업의 기업규모, 기술역량, 성장잠재력을 감안하여 정책을 신중하게 수립하고 실행해야 함을 시사한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권11호
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• pp.2690-2701
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• 2013

Humans are able to recognize small number of people they know well by the way they walk. This ability represents basic motivation for using human gait as the means for biometric identification. Such biometric can be captured at public places from a distance without subject's collaboration, awareness or even consent. Although current approaches give encouraging results, we are still far from effective use in practical applications. In general, methods set various constraints to circumvent the influence factors like changes of view, walking speed, capture environment, clothing, footwear, object carrying, that have negative impact on recognition results. In this paper we investigate the influence of walking speed variation to different visual based gait recognition approaches and propose normalization based on geometric transformations, which mitigates its influence on recognition results. With the evaluation on MoBo gait dataset we demonstrate the benefits of using such normalization in combination with different types of gait recognition approaches.

• 신재생에너지
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• 제6권2호
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• pp.12-18
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• 2010

This paper reviews commercial wind mapping services provided by the oversea consulting companies, AL-PRO and anemos in Germany, AWS Truepower and 3TIER in USA. They provide quick-to-use but essential dataset for a preliminary assessment before commencing an actual feasibility study for wind farm development. Details of wind mapping method, mapresolution, data extraction height, price and so forth are compared and fresh service contents such as site analysis report are drawn from the comparison. Despite its public service, the objective value of the Renewable Energy Resource Map System of Korea Instistute of Energy Research is also confirmed and it is anticipated that the drawn new content idea will be ported to the system to enrich its applicability.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.137-153
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• 2005

Collaborative filtering-based recommendation systems make personalized recommendations based on users' ratings on products. Recommender systems must collect sufficient rating information from users to provide relevant recommendations because less user rating information results in poorer performance of recommender systems. To learn about new users, recommendation systems must first present users with an initial item list. In this study, we designed and analyzed seven selection strategies including the popularity, favorite, clustering, genre, and entropy methods. We investigated how these strategies performed using MovieLens, a public dataset. While the favorite and popularity methods tended to produce the highest average score and greatest average number of ratings, respectively, a hybrid of both favorite and popularity methods or a hybrid of demographic, favorite, and popularity methods also performed within acceptable ranges for both rating scores and numbers of ratings.

• 약학회지
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• 제56권1호
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• pp.66-69
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• 2012

This study aims to assess the aggregate contribution of new drugs to the increase in life expectancy. We constructed a panel data combining mortality data in KOSIS and a drug dataset generated by assigning new drugs listed in 2000~2009 to their respective ICD codes. We found that 10% increase in stock of new drug led to 0.13~0.27% increase in the probability of survival to age 65. Due to lack of disease-specific life table, we used indirect approach to estimate the effect of new drugs on longevity. Using ordinary least squares, the estimate of the probability of survival to age 65 (logarithm) on life expectancy for all ages was 24.92. In conclusion, the increase in life expectancy of the entire population in Korea between 2000 and 2009 resulting from NMEs is 1.95 years, which explains 46.6% of real increase in life expectancy.

• 한국컴퓨터정보학회논문지
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• 제21권1호
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• pp.9-16
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• 2016

In this paper, we present a performance evaluation agent based on fuzzy cluster analysis and validity measures. The proposed agent is consists of three modules, fuzzy cluster analyzer, performance evaluation measures, and feature ranking algorithm for feature selection step in CAD system. Feature selection is an important step commonly used to create more accurate system to help human experts. Through this agent, we get the feature ranking on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. Also we design a CAD system incorporating the agent and apply five different feature combinations to the system. Experimental results proposed approach has higher classification accuracy and shows the feasibility as a diagnosis supporting tool.