• The Korean Journal of Air & Space Law and Policy
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• v.18
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• pp.105-134
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• 2003

This paper describes generic cognitive aspects of the air traffic controller's performance and perceptive activities unveiled through the past literature study. which underlines mental modelling and mental picture presented in the middle of complicated situational awareness and decision making process when air traffic controller comes to determine the distance between aircraft under control to maintain air traffic in a safe, orderly and expeditious way. It also describes human limit in terms of human memory in conjunction with relative workloads and environmental factor. In conclusion, It suggest that ATC authority will take into account the qualitatiive adjustment of training requirement necessary for ATC facility rating and refresher training to allow them more preparedness for better situational awareness and optimal decision making. In this paper controller's behavioral activators affecting their job performance are addressed in perspective of aviation safety.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.569-589
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• 2017

최근 정부는 변화하는 환경에 조응하기 위한 혁신적인 국가 R&D 시스템의 도입 및 성과평가 준거 틀의 전환을 시도하고 있다. 이에 연구자 중심의 "정부 R&D 혁신방안(2015)"을 제안하고 기존의 추격형 R&D체제에서 벗어나 질적 우수성 추구로 패러다임 전환과 창의 도전적 R&D에 초점을 맞춘 평가방식, 그리고 행정시스템 간소화 등을 해결해야 할 주요 과제로 제안하고 있다. 하지만, 다양한 이해관계자가 제시한 지속적인 의견 등을 고려할 때, 변화 이슈에 대한 장기적인 R&D 시스템 전개방향은 공감되나, 실행단계에서 실효적 적용은 많은 논의가 필요해 보인다. 특히, 특정 집단의 이해관계를 벗어나기 힘든 경우, 편향된 이슈 및 정책 제안이 제시되거나, 제안된 정책 간 일관성 있는 논리를 설정하기 어렵거나, 불특정 다수의 이해관계자 집단 간 이익 대변 혹은 현실을 벗어나는 이상적인 방향을 제안하는 경우도 있다. 따라서 이해관계자를 넘어서는 통합적 관점에서 사회 전체적 여건을 고려하는 혁신적 국가 R&D 시스템에 대한 정책적 실행방안을 고민해 볼 필요성이 제기된다. 본 연구에서는 우리나라의 과학기술 혁신정책 및 R&D 성과, 주요국 관련 동향 등을 살펴보고 현행 R&D 추진 시스템을 사회 시스템 차원에서 바라보며, 제기되는 관련 이슈에 대한 비판적 담론과 쟁점을 정리 및 분석하였다. 또한, R&D 혁신주체 간 상호작용 및 추진 시스템 효율성 측면의 핵심 이슈를 분석하여 R&D 추진 시스템 중장기 구축방향과 한계도 체계적으로 살펴보았으며, 이를 정리한 실행전략을 제시하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.5
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• pp.956-966
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• 1997

Dynamic free-space optical interconnection system is experimented by a holographic crossbar with single-state switching architecture. For dynamic operation, electrically addressed liquid-crystal spatial light modulator and diffraction gratings are used in place of passive holograms of matrix-matrix crossbar. Diffraction gratings are consisted of regular cells which have different phase delays. This pixelated phase grating array displayed on SLM(Spatial Light modulator) deflects an input beam toward a wanted direction or splits an input beam into many beams and then steers them to desired positions. Through the experimental results, free-space optical interconnection is dynamically perfomed using a computer, SLM and phase diffraction gratings.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.117-117
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• 2023

도시 홍수, 하천 범람, 산사태와 같은 폭우와 관련된 재해는 자주 동시에 발생하며, 각 재해는 서로 다른 범위의 시간 스케일에서 강우 변동성에 민감하게 반응한다. 따라서 재해 복합화 모델링에 적합한 확률 강우 모델은 모든 유형의 재해와 관련된 모든 시간 스케일에서 강우 변동성을 잘 재현할 수 있어야 한다. 본 연구에서는 5분에서 10년 사이의 시간 스케일에서 다양한 강우통계특성을 재현할 수 있는 추계학적 강우 생성기를 제안하였다. 이 모델은 우선 Randomized Bartlett-Lewis Rectangular Pulse (RBLRP) 모델을 사용하여 미세 규모의 강우량 시계열을 생성한 후, 연속된 폭풍 사이의 상관관계 구조가 유지되도록 폭풍우의 순서를 섞는다. 마지막으로, 별도의 월별 강우량 모델링 결과에 따라 월 단위로 시계열을 재배열한다. 독일 보훔에서 기록된 69년간의 5분 강우량 데이터를 사용하여 본 모형을 검증한 결과, 평균, 분산, 공분산, 왜곡도 및 강우 간헐성은 5분에서 10년에 이르는 시간 스케일에서 체계적인 편향 없이 잘 재현됨은 물론, 5분에서 3일 사이의 시간 스케일에서의 극한 강수량 값도 잘 재현음을 확인하였다. 아울러, 극한 강우 및 산사태에 큰 영향을 주는 극한 강우 발생 전 과거 7일간의 강수량도 정확히 재현되었다.

• Korean Journal of Optics and Photonics
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• v.19 no.3
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• pp.182-186
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• 2008

The prism spectrometer is a standard device for the measurement of refractive index; it is used in undergraduate laboratories. Typically, however, lots of attention is required in the alignment, and the accuracy of the obtained refractive index is not so high in spite of the durability of the device. The maximum and minimum deviation method, which compensates the disadvantages of the prism spectrometer, can be composed cost effectively using a length marking tape and a rotating platform. It can measure the refractive indices accurately by utilizing a wide screen. In this study, the equal sided hollow prism whose length is 26 mm was fabricated and measured the refractive indices of seven kind of liquids (pure water, $C_3H_5(OH)_2$, $CCl_4$, $C_6H_4NH_2$, $CS_2$, $C_6H_4(CH_3)_2)$ by using the prism spectrometer and maximum and minimum deviated laser beam method at the wavelengths of He-Ne laser (${\lambda}$= 632.8 nm) and YVO4 laser (${\lambda}$= 532 nm). The result shows that the data obtained by the latter method are more accurate and precise than those obtained by the former device.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.1-10
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• 2021

This study empirically confirmed 'the political bias of the YouTube recommendation algorithm' and 'the selective exposure of user' to verify the Filter Bubble phenomenon of YouTube. For the experiment, two new YouTube accounts were opened and each account was trained simultaneously in a conservative and a liberal account for a week, and the "Recommended" videos were collected from each account every two days. Subsequently, through the text mining method, the goal of the research was to investigate whether conservative videos are more recommended in a righties account or lefties videos are more recommended in a lefties account. And then, this study examined if users who consumed political news videos via YouTube showed "selective exposure" received selected information according to their political orientation through a survey. As a result of the Text Mining, conservative videos are more recommended in the righties account, and liberal videos are more recommended in the lefties account. Additionally, most of the videos recommended in the righties/lefties account dealt with politically biased topics, and the topics covered in each account showed markedly definitive differences. And about 77% of the respondents showed selective exposure.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.119-137
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• 2022

Recent recommendation system studies apply various deep learning models to represent user and item interactions better. One of the noteworthy studies is ONCF(Outer product-based Neural Collaborative Filtering) which builds a two-dimensional interaction map via outer product and employs CNN (Convolutional Neural Networks) to learn high-order correlations from the map. However, ONCF has limitations in recommendation performance due to the problems with CNN and the absence of side information. ONCF using CNN has an inductive bias problem that causes poor performances for data with a distribution that does not appear in the training data. This paper proposes to employ a Vision Transformer (ViT) instead of the vanilla CNN used in ONCF. The reason is that ViT showed better results than state-of-the-art CNN in many image classification cases. In addition, we propose a new architecture to reflect side information that ONCF did not consider. Unlike previous studies that reflect side information in a neural network using simple input combination methods, this study uses an independent auxiliary classifier to reflect side information more effectively in the recommender system. ONCF used a single latent vector for user and item, but in this study, a channel is constructed using multiple vectors to enable the model to learn more diverse expressions and to obtain an ensemble effect. The experiments showed our deep learning model improved performance in recommendation compared to ONCF.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1C
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• pp.19-29
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• 2008

As a part of study to develop LRFD (Load and Resistance Factor Design) codes for foundation structures in Korea, reliability analyses for driven steel pipe piles are performed and the target reliability indices are selected carefully. The 58 data sets of static load tests and soil property tests conducted in the whole domestic area were collected and analyzed to determine the representative bearing capacities of the piles. The static bearing capacity formula and the Meyerhof method using N values are applied to calculate the expected design bearing capacity of the piles. The resistance bias factors were evaluated for the two static design methods by comparing the representative bearing capacities with the design values. Reliability analysis was performed by two types of advanced methods: First Order Reliability Method (FORM), and Monte Carlo Simulation (MCS) method using resistance bias factor statistics. The static bearing capacity formula exhibited relatively small variation, whereas the Meyerhof method showed relatively high inherent conservatism in the resistance bias factors. Reliability indices for safety factors in the range of 3 to 5 were evaluated respectively as 1.50~2.89 and 1.61~2.72 for both of the static bearing capacity formula and the Meyerhof method. The target reliability indices are selected as 2.0 and 2.33 for group pile case and 2.5 for single pile case, based on the reliability level of the current design practice and considering redundancy of pile group, acceptable risk level, construction quality control, and significance of individual structure.

• Journal of the Korean Regional Science Association
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• v.39 no.4
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• pp.33-51
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• 2023

This study aims to investigate the changes in the employment structure of occupational groups by job characteristics and analyze the factors influencing wage premiums in local labor markets from 2010 to 2020. This study's analysis involves three primary steps. First, the occupational characteristics data from the Korea Network for Occupations and Workers are subjected to an exploratory factor analysis, and then a non-routine task intensity index is calculated by each occupations. Then, we conduct an exploratory analysis of changes in the distribution of employment by occupation from 2010 to 2020 by combining data from the Population Census with data from the Korean Labor and Income Panel Study to construct individual-level and regional-level data. Thirdly, we employ a hierarchical linear model to examine the individual-level and regional-level factors influencing wage premiums. Since 2010, the proportion of employment in occupations requiring non-routine task has continued to rise and now dominates the metropolitan labor market. Moreover, agglomeration effects resulting from urbanization produce a substantial wage premium for wage workers in occupations requiring non-routine tasks. This study seeks to provide policy implications to mitigate inequality and polarization in local labor markets by empirically analyzing the transition of occupational structure and wage inequality in relation to the local labor market context.

• The Journal of Information Technology
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• v.7 no.4
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• pp.71-87
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• 2004

The present paper attempts to describe Area Marketing and develop an empirical model for Alcoholic Company. The focus is given on the several area in Korea. With both empirical case studies ad literature review, we aim to develop empirical case and propose a desirable area marketing strategy for specific area Area Market Research was adopted for several Area as an environment analysis and the action plan about sales promotion that each area was developed. After It was implemented for 5 years(1999-2003). The Jiro made a results as follow: The first is sales volume. It was risen Market Share 55.3%(2004.11) more than 38%(1998). The second is Relationship with retailer(wholesaler) and CRM(customer relationship management effects: Loyal customer was increased). The last one is Brand Power which was extended than before.