• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.459-460
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• 2023

기존의 추천시스템은 상품간 혹은 사용자 간의 유사도를 기반으로 작동한다. 하지만 이는 사용자가 유사한 상품 추천 속에 갇히게 되는 필터 버블의 문제와 추천시스템의 고질적인 문제인 데이터 희소성 문제를 피할 수 없게 된다. 따라서 본 연구에서는 사용자의 취향과 체형 정보를 반영하여 사용자의 평점을 예측하는 협업 필터링 기반 딥러닝 추천과 상품간 비유사성을 고려하여 사용자의 평점을 예측하는 내용 기반 추천을 혼합한 하이브리드 추천 모델을 구축하여 기존 추천시스템의 문제점을 해결하였다. 모델의 성능평가를 위해 인터넷 의류 쇼핑몰을 대상으로 유사한 이미지를 활용한 하이브리드 추천 모델과 NDCG 값을 비교하였고 유사도가 낮은 이미지를 활용한 모델이 더 우수한 성능을 보였다. 이는 다른 제품과는 달리 소비자가 의류를 구매할 경우 이미 구매한 상품과 유사한 상품보다는 유사하지 않은 상품을 구매할 가능성이 크다는 것을 보여준다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.760-761
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• 2011

본 연구에서는 치과용 유니트체어의 용수공급 시스템 중 수관 내부에 생성되는 바이오필름을 보다 효율적으로 제거하기위하여 공기와 물을 혼합한 버블을 생성하고 가변적인 압력을 인가하여 살균과 세척을 동시에 수행할 수 있는 시스템을 개발하고자 하였다. 이를 위하여 공기와 물의 혼합 세척을 통한 바이오필터 세척 및 전기분해를 이용한 용수 살균 시스템을 구현하였으며, 물과 공기의 흐름제어 및 가변적인 압력 조절 제어시스템을 구현하였다. 그리고 무선으로 제어가 가능한 솔레노이드밸브로 구성된 벨브조립체를 구성하여 세척모드 및 용수공급모드의 선택적 운용이 가능한 시스템을 구현하였다.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.139-147
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• 2021

Livestock manure is used as an organic fertilizer to replace chemical fertilizers after sufficient fermentation in an aerobic bioreactor. On the other hand, liquid manure disposal problems occur repeatedly because soil spraying is restricted during the summer when the crops are growing. To use liquid fertilizer (LF) as an additional nutrient source for crops, it is necessary to reduce the amount of suspended solids (SS) in the liquid fertilizer and secure stability problems against pathogenic microorganisms. This study examined the effects of the simultaneous SS removal and E.coli sterilization in the LF using the microbubble (MB) generator (FeMgO catalyst insertion). The remaining SS were further removed using the integrated microbubble and microfilter system. During the floating process in the MB device, the SS were removed by 57.9%, and the coliform group was not detected (16,200→0 MPN/100 mL). By optimizing the HRT of the integrated system, the removal efficiency of the SS was improved by 92.9% under the 0.1h of HRT condition. After checking the properties of the treated LF, 64.5%, 70.1%, 54.9%, and 51.5% of the TCOD, SCOD, PO4-P, and TN, respectively, were removed. The treated effluent from such an integrated system has a lower SS content than that of the existing LF and does not contain coliforms; therefore, it can be used directly as an additional fertilizer.

• Journal of Korea Multimedia Society
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• v.21 no.3
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• pp.369-381
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• 2018

Nowadays a personalization algorithm is gaining huge attention. It gives users selective information which is helpful and interesting in a deluge of information based on their past behavior on the internet. However there is also a fatal side effect that the user can only get restricted information on restricted topics selected by the algorithm. Basically, the personalization algorithm makes users have a narrower perspective and even stronger bias because users have less chances to get views of opponent. Eli Pariser called this problem the 'filter bubble' in his book. It is important to understand exactly what a filter bubble is to solve the problem. Therefore, this paper shows how much Google's personalized search algorithm influences search result through an experiment with deep neural networks acting like users. At the beginning of the experiment, two Google accounts are newly created, not to be influenced by the Google's personalized search algorithm. Then the two pure accounts get politically biased by two methods. We periodically calculate the numerical score depending on the character of links and it shows how biased the account is. In conclusion, this paper shows the formation process of filter bubble by a personalization algorithm through the experiment.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.197-197
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• 2017

본 연구에서는 입자성 오염물질을 다량 함유하고 있는 초기강우 유출수를 처리하기 위한 수처리 시설로 고속복합응집장치를 개발하였다. 고속응집복합장치의 요소기술은 마이크로 버블, 급속교반장치(인라인믹서), 전기촉매를 이용한 부상촉진장치, 볼텍스 흐름 등으로 구성되며, 기술 원리는 응집제에 의해 오염물질을 응결, 응집, 부상시켜 스컴을 제거하는 일반 응집 원리와 유사하다. 본 기술의 특징은 교반, 혼화조, 응집제를 1개의 조에 컴팩트하게 구성하여 체류시간을 10분 이내로 단축하였고, 볼텍스(voltex) 흐름을 이용한 선회류와 루버홀 형태의 스크린을 적용하여 응집효과를 극대화하였으며, 플럭에 의한 막힘이 없이 스크리닝이 이루어질 수 있도록 하였다. 또한, 부상촉진장치(전기유도)를 이용해 응집 플럭의 부상효과를 상승시켰고, 감속기와 일체화된 내통스크린이 선회류와 반대 방향으로 회전하면서 볼텍스 흐름의 가속효과에 의한 스크린 폐색 방지 및 응집부상 효율을 향상시킬 수 있도록 설계하였다. 부상슬러지는 별도의 플럭 제거 설비 없이 스크린 내통 회전에 이용되는 감속기에 부착된 스컴 제거기에 의해 동시 제거가 가능하며, 응집부상 처리수는 장치 가장 바깥 외곽에 충진된 필터층에서 최종 여과되어 방류되도록 구성함으로서 모든 처리공정이 단일 장치 내에서 이루어지도록 구성하였다. 본 고속복합응집장치는 전체 규격 ￠ $1000{\times}2,000mmH$의 시제품이 제작되어 현재 시흥소재 매화저수지에서 성능평가를 실시하고 있다.

• Geophysics and Geophysical Exploration
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• v.13 no.4
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• pp.336-348
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• 2010

The Single-channel seismic survey with the source of bubble pulser and drilling survey was carried out in 2008 and 2009 for the site survey of Daecheon-Wonsando area, which was a proposed area of Korea-China subsea tunnel. The goal of this study is to analyze the depth and characteristics of acoustic basement for the stability assessment and tunnel design in this proposed area through combining drilling data with this single-channel seismic data after detailed processing. For this purpose, among the data processing schemes which are usually applied to multi-channel seismic data, we applied the F-K filtering to eliminate the AC(alternating current) noise and the post-stack depth migration to produce depth section. As a result, we verified that the improved depth section could be obtained from single-channel seismic data, and the distribution and characteristics of basement could be analyzed in survey area through the combined analysis with drilling data. However, we could not interpret the detailed structures, fault and fracture zone, due to the quality of bubble pulser source and single-channel data. We expect that those detailed structures can be analyzed when higher resolution seismic data is provided. Therefore, we recommend some items for future seismic survey of subsea tunnel to obtain the high resolution seismic data.

• Informatization Policy
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• v.26 no.2
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• pp.81-95
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• 2019

This study explores how the advanced data analysis capabilities of intelligent information technology are being utilized in politics. In particular, we focus on the fact that voter behavioral targeting in election campaigns comes into conflict with the democratic process in various ways. For this purpose, this study examines political micro-targeting and political bots. It is aimed at showing that these technology-based campaign techniques work as a factor preventing free expression of opinions and discussions, which are the core of democracy itself. Then we identify the attributes of the algorithm that affects them. As a result, this study suggests that the following issues might arise regarding intelligent information technology-based politics and democracy. First, inequality in political participation becomes more severe. Second, the public debate between voters gets more difficult. Third, superficial politics is prevalent. Fourth, single-issue politics and the exclusion of political representation is likely to increase. Fifth, political privacy might also be invaded. Based on our discussions, this study concludes that it is our role to find ways by which intelligent information technology and democracy can coexist.