• The Korean Journal of Applied Statistics
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• v.26 no.3
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• pp.375-387
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• 2013

Unit non-response of surveys reduces the efficiency of the estimates and also causes non-response bias especially when there is large difference between respondents and non-respondents. Non-response weighting adjustments have usually been used to compensate for non-response. It is not easy to examine the non-response bias as well as to obtain information on the non-respondents in sample surveys. A household panel survey, called The Survey of Household Finances, was conducted in both 2010 and 2011. In this paper, we assume that non-response households in Wave 2 have strong non-response (non-cooperative) tendency. We classify those households into non-response households in Wave 1. Under this assumption, the characteristics of non-response households, the non-response bias and the effect of non-response adjustments are investigated.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2A
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• pp.261-271
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• 2006

Many uncertainties affecting to the structural behavior of prestressed concrete (PSC) bridges reinforced with the un bonded external tendons are analyzed on the basis of the analytical method introduced in the companion paper. Many design parameters, which must be considered in design procedure, such as friction slip at the deviators, number of deviators, time-dependent deformations of concrete, relaxation of tendon and influence of loading history in PSC bridges are reviewed, and a lot of valuable results are obtained through this parametric study. In advance, the structural responses according to the external tendon profiles are analyzed to grasp if an optimum tendon profile depends on the applied loading type, and the obtained results show that the most stable structural response is revealed when the locations of deviators are coincident with the loading points.

• Science of Emotion and Sensibility
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• v.18 no.4
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• pp.35-46
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• 2015

Prior research suggested that people generally show stronger intentions to help in-group members because people experience higher levels of empathy for those who are similar to themselves. The present research demonstrated that one's levels of cosmopolitanism would moderate the mediating role of empathy on the relationship between cultural similarities and helping intentions. In particular, it was examined how the mediator (empathy) affected the relation between cultural similarity and helping intention for participants with low to high levels of cosmopolitanism. Results indicated that participants with lower levels of cosmopolitanism showed stronger empathy as targets are more culturally similar to participants' own culture. Participants with higher levels of cosmopolitanism, however, reported the same levels of empathy regardless of targets' cultural similarity. The implications and limitations of the results were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.190-199
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• 2019

This quantitative study analyzed the influence of college students' preferred type of occupation on a confirmation bias and job anxiety during the process of making a career decision. The questionnaires were distributed to university students in Seoul and the metropolitan area for 500 weeks from July 10 2017 to August 8, 2017. Among them, 482 valid samples of data were analyzed by data coding and data cleaning usin SPSS 18.0 statistics and the AMOS 18.0 program. The main results of this study are that the type of business preference for an affirmative bias has a positive (+) direct influence (${\beta}=.374$) and the type of freedom has a positive direct influence (${\beta}=.326$) and a negative direct influence (${\beta}=-.274$). In the case of job anxiety, the influence of job type is more increased. The confirmation bias shows that the business type and freestyle type find cause in effort or achievement motive, while rect type is recognized as social environment and structural problem. In conclusion, there is a difference in the degree of confirmation bias and job insecurity. This study shows that college students' preferred occupation types can help them to understand the bias and anxiety that they have in preparing for the job and help to reduce job anxiety, and these findings are expected to be useful for career guidance.

• The monthly packaging world
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• s.54
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• pp.160-171
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• 1997

보호성, 편리성 등의 주로 원초적인 기능에 국한되어 발전해 온 종래의 포장이 근자에 와서는 각종 인쇄재와 인쇄술의 발전에 편승하여 괄목할만큼 향상된 미적 기능을 갖게 되었음은 주지의 사실이다. 그러나 마아케팅의 유력한 수단이 되고 있는 현대의 포장은 그 존속의 가치가 이러한 원초적이고도 미의식 중심의 기능으로만 편향되어서는 안되며, 품질과 가격 등의 제품 자체의 경쟁력에 못지 않은 고객의 구매행위에 보다 직접적이고도 결정적인 소구작용을 할 수 있도록 창

• Annual Conference of KIPS
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• 2006.05a
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• pp.1435-1438
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• 2006

일반적인 비 공유 저장장치를 가진 시스템에서는 특정 컨텐츠에 대한 편향된(skewed) 요청 문제를 피할 수 없다. 본 논문에서는 비 공유 저장장치 모델로 설계/구현된 클러스터 기반의 시트리밍 서버에서 사용자의 편향된 컨텐츠 요청에 대처할 수 있고 스트리밍 서비스 중인 서버 또는 NS 카드에 문제가 생기더라도 스트리밍 서비스가 중단되지 않도록 다중 스트리밍 방법인 MDC(Multiple Description Coding)를 적용한 스트리밍 전송방법을 제안한다. 제안하는 방법은 클러스터 시스템에서 단일 세션으로 스트리밍 서비스를 제공하는 것이 아니라 MDC 를 활용하여 다중 세션을 통한 스트리밍 서비스를 제공함으로써 모든 서버의 부하가 같아지고, 특정 서버에 문제가 발생하더라도 스트리밍 서비스가 끊어지지 않으면서 MDC 의 특성인 적응형 서비스도 가능하게 되는 장점이 있다.

• Annual Conference of KIPS
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• 2022.05a
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• pp.602-605
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• 2022

본 연구는 대량의 상권 데이터를 바탕으로 머신 러닝과 딥러닝 분석을 이용하여 최적의 상권 입지를 추천하는 시스템 개발을 목표로 한다. 자영업자들의 오프라인 창업에 있어 개개인의 매장 정보에 기반한 입지 조건 판단은 앞으로의 매출에 중요한 시작점이다. 따라서 상권 정보를 기반으로 미래 매출을 예측하여 최적의 상권 입지를 추천하는 기술이 필요하다. 이를 위해 기존에 선행된 다수의 회귀 기법과 더불어 강하게 편향된 데이터를 레이블링 하여 다중 분류 기법으로도 문제를 접근한다. 최종적으로 딥러닝 모델과 합성하여 더 높은 성능을 이끌어내고 이로부터 편향 데이터 처리 방법과 딥러닝 모델과의 앙상블 중요성에 대해 논의하고자 한다.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.713-722
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• 2024

This study highlights the impact of Artificial Intelligence (AI) technology on journalism, discussing its utility and addressing major ethical concerns. Broadcasting companies and media institutions, such as the Bloomberg, Guardian, WSJ, WP, NYT, globally are utilizing AI for innovation in news production, data analysis, and content generation. Accordingly, the ecosystem of AI journalism will be analyzed in terms of scale, economic feasibility, diversity, and value enhancement of major media AI service types. Through the previous literature review, this study identifies key ethical and social issues in AI journalism as well. It aims to bridge societal and technological concerns by exploring mutual development directions for AI technology and the media industry. Additionally, it advocates for the necessity of integrated guidelines and advanced AI literacy through social consensus in addressing these issues.

• Korean Journal of Childcare and Education
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• v.9 no.2
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• pp.117-141
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• 2013

The purpose of this study is to investigate the young children's 'more means more' bias and knowledge change process regarding a lever phenomenon, especially the relationship between the weight of an object and the strength of force and between the length of a lever and the strength of force. Subjects, who were presented with the tasks, were eight young children 5 years of age. Major findings were as followings. First, most of the subjects have a 'more means more' bias about the relationship between the weight of an object and the strength of force and between the length of a lever and the strength of force regarding a lever phenomenon. This meant that young children have similar concepts about a lever phenomenon regardless of whether it is right or wrong physically. Second, young children tried to make sure of their knowledge during experiments. They chose the evidence which confirmed their knowledge. But they tried to change their knowledge, when the evidence presented did not correspond to their knowledge. These findings contribute to understanding young children's 'more means more' bias and knowledge change process about a lever phenomenon and can be used in preschool science education programs and curriculums.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.341-349
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• 2020

The present study aims to investigate the sequential mediation model in the relationships between optimistic bias, subjective perception, risk perception, and the future time perspective in terms of a particulate matter and depression, using the sequential mediation model. An online self-reported survey was conducted on 545 participants who agreed to participate in the current study. We considered depression as a dependent variable, optimistic bias as an independent variable, and subjective perception of particulate matter, the risk perception of particulate matter, future-time-perspective as mediators. The sequential mediation analysis was conducted using the SPSS Macro. The results show that optimistic bias was not directly related to depression, but was related to indirect paths through the subjective perception of particulate matter, the risk perception of particulate matter, and future time perspective. More specifically, the lack of optimistic bias was related to a tendency to subjectively perceive the quality of air pollution more seriously and a limited future time perspective, which subsequently related to depression. Future studies should pay more attention to the effects of particulate matter on the quality of life and mental health.