• Disaster Prevention Review
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• v.15 no.2
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• pp.126-133
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• 2013

최근 기상이변으로 가뭄과 홍수, 폭설 등 자연재난이 전 세계적으로 빈번하게 발생하고 있고, 우리나라도 예외는 아니어서 일 강수량이 300mm가 넘는 집중폭우의 횟수도 증가하고 있다. 특히 지난 해 한반도 지역의 아열대성 기후변화로 인해 잦은 국지성 폭우와 태풍 등 물재해로 인명과 재산피해가 점증하고 있다. 2012년 7월에 발생한 제7호 태풍 '카눈'을 시작으로 잇따른 초대형 태풍 '덴빈', '볼라벤', '산바'는 태풍이 북상하여 중부지방 중심 전국적으로 많은 비를 내렸으며 경기 및 강원 북부 일부 지방은 관측 강우량을 경신하였다. 홍수기 시 수자원 운영에 미치는 댐, 보 수문자료의 활용을 통해 홍수분석 등에 활용됨으로써 홍수분석 의사결정 시 신속하게 대응할 수 있는 물 관리 시스템에 대한 요구가 높아지고 있는 실정이다. 이에 K-water에서는 최신 ICT 기술을 융합한 "실시간 수자원정보시스템"을 구축 운영하여 24시간 365일 상시 모니터링함으로써, 2012년에 과거 유래 없는 4개의 대형 태풍이 한반도에 상륙하였을 때에도 안정적으로 시스템을 운영하면서 신속하게 대응할 수 있었다.

• Proceeding of EDISON Challenge
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• 2016.11a
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• pp.58-62
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• 2016

본 연구에서는 지면효과의 영향을 비행체의 형상에 따라 비교하기 위해 에어포일, 플랩을 장착한 에어포일 그리고 플라잉디스크를 EDISON_CFD를 통해 해석하고자 한다. 받음각 $0^{\circ}$, $5^{\circ}$, $10^{\circ}$에 대하여 마하수 0.18, 단위 길이 당 레이놀즈수 $3.78{\times}10^{-5}/m$의 유동조건에서 2차원 범용 소프트웨어인 KFLOW_EDISION_13의 S-A Turbulent Model을 이용하여 지면과의 높이를 형상 코드길이를 기준으로 0.25c, 0.5c, 1c, 3c로 변경하면서 해석을 수행하였다. 그 결과 세 형상 모두 일반적인 지면효과인 지면과 가까울수록 양력계수는 증가, 항력계수는 감소하여 양항비가 증가하는 경향을 보여주었다. 하지만 일부 예외적인 부분을 확인하여 분석을 실시하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.706-706
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• 2012

최근 세계적으로 홍수, 가뭄, 열파 등 기상재해가 빈발하여 소중한 생명과 막대한 재산피해가 발생하고 있으며 우리나라도 예외는 아니다. 특히 강원도 지역의 경우 태백산맥을 중심으로 산지가 많은 부분을 차지하고 있어 산악기후의 특성을 포함한 복잡한 기상현상을 나타내고 있다. 또한 강수량의 변화가 심한 편차를 나타내며 홍수와 가뭄이 반복되는 양상을 보이고 있다. 따라서 본 연구에서는 기상분석을 통한 강원도 지역에서 발생 가능한 홍수 및 가뭄의 피해원인 및 특성을 분석하고 지형특성과 유출특성 등을 고려한 우수저류조 저장기법을 제시하고자 한다. 이를 위해 SPRC(Source-Pathway-Receptor-Consequence) 기법을 적용해 강원도지역의 가뭄과 홍수특성을 고려한 우수저류조 설계요소를 도출하였고 그 적용성을 검토하였다. 추후 계속되는 연구결과를 통해 강원도의 지역특성을 반영한 LID 기반 최적 우수저류조 선정 의사결정지원체계를 구축하고자 한다.

• Annual Conference of KIPS
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• 2020.11a
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• pp.568-571
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• 2020

최근 빅데이터 기술이 다양한 산업과 접목되고 있다. 그 중 고객 이탈 방지가 최우선인 통신사들 또한 예외가 아닐 수 없다. 이에 본 논문은 통신사 데이터에 머신러닝 알고리즘을 접목. 이탈 예측과 데이터 추이를 분석하고, 이를 시각화 하여 일목요연하게 표출하는 과정을 제공함으로서 통신사의 고객 유치 정책을 위한 토대를 마련할 것이다.

• Convergence Security Journal
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• v.2 no.2
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• pp.189-198
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• 2002

In this paper, we have designed the Web_based Home Gateway Management System using SSL, which can manage subscribers using Home Gateway device in home networking technology. To manage Home Gateway devices with SNMP, management elements are classified into system. performance. fault functional area based on MIB objects from Home Gateway devices MIB. System analysis provides configuration information of each Home Gateway, and Performance analysis provides device's traffic information and state. And fault analysis provides fault logging for the unexpected events and trap message from devices. HGMS uses SSL (Secure Socket Layer) to enforce the security of communication which is between server and client, and it improved the stability of HGMS.

• Journal of Korean Library and Information Science Society
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• v.36 no.3
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• pp.5-20
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• 2005

This Study is to analyze the effect that the subordinate factors which compose transformational leadership and transaction leadership, cause stress syndrome. The results of this study are as fellows 1) There were no relationships between the stress syndrome and the term of service : however, the level of stress among librarians tended towards fairly high level 2) The charisma and the Individualized consideration of transformational leadership showed negative(-) effects on stress syndrome. 3) The management-by-exception of transaction leadership showed positive(+) relationship with stress syndrome, and the contingent reward, negative(-)relationship. 4) The effect causing stress was greater In transformational leadership than in transaction leadership. Therefore, it was confirmed that the charisma and the individualized consideration of transformational leadership were variables decreasing stress, and the management-by-exception of transaction leadership was a variable increasing stress.

• Journal of Science and Technology Studies
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• v.14 no.1
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• pp.59-85
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• 2014

This study aims to highlight the social aspects of genetic discrimination as another shadow that biotechnology can influence on social life. To do so, the definition of "genetic discrimination" and three perspectives (exceptionalism, expressivism, and human right discourse) were reviewed. In addition, the Genetic Information Nondiscrimination Act (GINA) of the United States and the Bioethics and Safety Act of Korea were analyzed. Several social implications for establishing the research and policies of genetic discrimination based on the existing research results of perceived genetic discrimination (the experiences, fears, and coping strategies of genetic discrimination) were suggested. These included public consensus on the definition of genetic discrimination and emphasis on a human rights approach against genetic discrimination; concerns regarding genetic discrimination in both the personal and public domains; raising the consciousness of both health care providers and the public regarding genetic discrimination; and developing psycho-social coping strategies for decreasing the fear of discrimination of asymptomatic people (hereditary carriers).

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.441-444
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• 2016

본 연구에서는 유입수의 유입 방향을 달리 하였을 때 각 여재의 처리효율 차이점을 조사하고자 하였다. 실험재료는 제올라이트, 화산석, 발포 세라믹, 폴리에틸렌(Poly Ethylene) 4종의 여재이며 총 용적 31 L의 아크릴반응조에 각각의 여재를 충진하였고 각각 상향류 및 하향류의 흐름 방식을 적용하여 2차에 걸쳐 여과실험을 진행하였다. 제거효율은 유입수 대비 유출수의 농도 변화를 통하여 관찰하였고, 수질 측정은 SS, COD, T-N, T-P 네 항목으로 수질공정시험법에 의거하여 분석하였다. 실험 결과 제올라이트는 SS, COD, T-N항목에서 상향류를 적용한 여과에서 제거효율이 높은 경향을 보였다. 특히 T-N항목의 경우 상향류 조건에서 49.2%, 하향류 조건에서 34.4%의 제거효율을 나타내 흐름조건별 제거효율에 가장 큰 격차를 보였다. 화산석의 경우 SS, COD, T-N항목은 흐름방식에 따른 제거효율에 주목할 만한 차이를 드러내지 않았으나 예외적으로 T-P항목만 상향류 조건에서 24.2%, 하향류 조건에서 15.9%의 제거효율을 나타냄으로써 상향류 조건에서 8.3% 높은 제거효율을 얻었다. 발포 세라믹 여재는 하향류를 적용한 여과에서 제거효율이 우세한 경향을 보였으며 특히 COD 항목의 경우 상향류 조건에서보다 하향류 조건에서 제거효율이 7.5% 향상된 결과를 얻었다. 폴리에틸렌 여재는 전반적으로 유입 조건에 따른 경향성을 나타내지 않았으나 예외적으로 SS항목의 경우 하향류 조건에서보다 상향류 조건을 적용한 여과에서 7.9% 높은 제거효율을 얻었다.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.3
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• pp.329-352
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• 2017

Since the late 2000s Korean foreign direct investors in North Korea and China border regions have gone through the closure of outward processing trade(OPT) networks and changes in their location due to UN security council resolution and Korean independent sanctions against North Korea's nuclear and missile tests. However, the introduction of new Chinese OPT policy has led to the invigoration of domestic market-based OPT networks towards North Korea. The main aim of this paper is to identify the exceptional characteristics of Dandong in Liaoning province, a North Korea and China border region by analyzing OPT networks towards North Korea. Fundamentally the establishment of OPT networks towards North Korea is likely to be based on the utilization of a plenty of low wages in North Korea. The main reasons for this are fallen into two perspectives: geo-economics and geo-politics. The first perspective is geo-economics centering on the consolidation of economic exchange between North Korea and China, and North Korean economic development. For example, the introduction of Chinese OPT in border region has enabled Chinese local firms based on domestic market to access a plenty of low wage in North Korea in formal and institutional contexts. The second is geo-politics for the stability of North Korean regime based on the means of geo-economics. As the invigoration of domestic market-based OPT networks might make North Korea possible promoting foreign money earning, it enable North Korea to be sustainable as a buffering region between capitalist and socialist regime for China. It shows Chinese geo-strategic attempts to deal with the economic and regime stability of North Korean as a buffering state. In other words, OPT networks in North Korea should be concerned with the discourse practice of geo-economics and geo-politics which might lead to various and contingent spatial economies in border region. As a consequence, North Korea and China border regions could defined as a space in which is applicable to exceptional institutions and policies, and an exploitative space in which create surplus and rents by utilizing a plenty of low wages in North Korea through OPT networks.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.93-108
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• 2014

To support business decision making, interests and efforts to analyze and use transaction data in different perspectives are increasing. Such efforts are not only limited to customer management or marketing, but also used for monitoring and detecting fraud transactions. Fraud transactions are evolving into various patterns by taking advantage of information technology. To reflect the evolution of fraud transactions, there are many efforts on fraud detection methods and advanced application systems in order to improve the accuracy and ease of fraud detection. As a case of fraud detection, this study aims to provide effective fraud detection methods for auction exception agricultural products in the largest Korean agricultural wholesale market. Auction exception products policy exists to complement auction-based trades in agricultural wholesale market. That is, most trades on agricultural products are performed by auction; however, specific products are assigned as auction exception products when total volumes of products are relatively small, the number of wholesalers is small, or there are difficulties for wholesalers to purchase the products. However, auction exception products policy makes several problems on fairness and transparency of transaction, which requires help of fraud detection. In this study, to generate fraud detection rules, real huge agricultural products trade transaction data from 2008 to 2010 in the market are analyzed, which increase more than 1 million transactions and 1 billion US dollar in transaction volume. Agricultural transaction data has unique characteristics such as frequent changes in supply volumes and turbulent time-dependent changes in price. Since this was the first trial to identify fraud transactions in this domain, there was no training data set for supervised learning. So, fraud detection rules are generated using outlier detection approach. We assume that outlier transactions have more possibility of fraud transactions than normal transactions. The outlier transactions are identified to compare daily average unit price, weekly average unit price, and quarterly average unit price of product items. Also quarterly averages unit price of product items of the specific wholesalers are used to identify outlier transactions. The reliability of generated fraud detection rules are confirmed by domain experts. To determine whether a transaction is fraudulent or not, normal distribution and normalized Z-value concept are applied. That is, a unit price of a transaction is transformed to Z-value to calculate the occurrence probability when we approximate the distribution of unit prices to normal distribution. The modified Z-value of the unit price in the transaction is used rather than using the original Z-value of it. The reason is that in the case of auction exception agricultural products, Z-values are influenced by outlier fraud transactions themselves because the number of wholesalers is small. The modified Z-values are called Self-Eliminated Z-scores because they are calculated excluding the unit price of the specific transaction which is subject to check whether it is fraud transaction or not. To show the usefulness of the proposed approach, a prototype of fraud transaction detection system is developed using Delphi. The system consists of five main menus and related submenus. First functionalities of the system is to import transaction databases. Next important functions are to set up fraud detection parameters. By changing fraud detection parameters, system users can control the number of potential fraud transactions. Execution functions provide fraud detection results which are found based on fraud detection parameters. The potential fraud transactions can be viewed on screen or exported as files. The study is an initial trial to identify fraud transactions in Auction Exception Agricultural Products. There are still many remained research topics of the issue. First, the scope of analysis data was limited due to the availability of data. It is necessary to include more data on transactions, wholesalers, and producers to detect fraud transactions more accurately. Next, we need to extend the scope of fraud transaction detection to fishery products. Also there are many possibilities to apply different data mining techniques for fraud detection. For example, time series approach is a potential technique to apply the problem. Even though outlier transactions are detected based on unit prices of transactions, however it is possible to derive fraud detection rules based on transaction volumes.