• 대한산업공학회지
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• 제42권5호
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• pp.327-336
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• 2016

Prediction of customer failure rates plays an important role for establishing appropriate management policies and improving the profitability for industries. For these reasons, many LCD (Liquid crystal display) manufacturing industries have attempted to construct prediction models for customer failure rates. However, most traditional models are based on the parametric approaches requiring the assumption that the data follow a certain probability distribution. To address the limitation posed by the distributional assumption underpinning traditional models, we propose using parameter-free data mining models for predicting customer failure rates. In addition, we use various information associated with product attributes and field return for more comprehensive analysis. The effectiveness and applicability of the proposed method were demonstrated with a real dataset from one of the leading LCD companies in South Korea.

• Journal of Computing Science and Engineering
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• 제5권3호
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• pp.223-235
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• 2011

Performing approximate data matching has always been an intriguing problem for both industry and academia. This task becomes even more challenging when the requirement of data privacy rises. In this paper, we propose a novel technique to address the problem of efficient privacy-preserving approximate record linkage. The secure framework we propose consists of two basic components. First, we utilize a secure blocking component based on phonetic algorithms statistically enhanced to improve security. Second, we use a secure matching component where actual approximate matching is performed using a novel private approach of the Levenshtein Distance algorithm. Our goal is to combine the speed of private blocking with the increased accuracy of approximate secure matching.

• 한국산업보건학회지
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• 제8권1호
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• pp.24-35
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• 1998

Cumulative trauma disorders(CTDs) have been a growing problems for US and European industries with higher incidence rate every year. The increase and their associated costs has led companies to form committes and implement programs to address this problem. In our country, we have just started to recognize and to work on the problems in industry. This study conducted an ergonomic analysis for typical jobs of ship building industry which was not usually surveyed for CTD problem. A baseline CTD checklist which was supposed to do a risk assessment was developed and applied in this study. Initially, we considered five major parts in the checklist which consisted of personal, frequency, posture, force, and miscellaneous information. Most jobs in ship building industry were much different from typical assembly work and VDT work that have been major part of the previous CTD studies. Specifically, job characteristics in terms of frequency and posture were quite different. There were relatively long cycle time, awkward postures for whole body (not just for upper extremities). Also, CTD risk scores based on checklist were a lot higher than the scores for VDT jobs which was a case of preceding application of the checklist. Specifically, grinding jobs turned out to be the most risky one in terms of CTDs. In conclusion, usual CTD prevention guidelines are not likely to he effective in this type of industry. An individual job based interventions are strongly suggested to have a good control of CTD problems in ship building industry.

• Journal of Information Processing Systems
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• 제13권4호
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• pp.914-927
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• 2017

Weighted network link prediction is a challenge issue in complex network analysis. Unsupervised methods based on local structure are widely used to handle the predictive task. However, the results are still far from satisfied as major literatures neglect two important points: common neighbors produce different influence on potential links; weighted values associated with links in local structure are also different. In this paper, we adapt an effective link prediction model-local naive Bayes model into a weighted scenario to address this issue. Correspondingly, we propose a weighted local naive Bayes (WLNB) probabilistic link prediction framework. The main contribution here is that a weighted cluster coefficient has been incorporated, allowing our model to inference the weighted contribution in the predicting stage. In addition, WLNB can extensively be applied to several classic similarity metrics. We evaluate WLNB on different kinds of real-world weighted datasets. Experimental results show that our proposed approach performs better (by AUC and Prec) than several alternative methods for link prediction in weighted complex networks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권7호
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• pp.3678-3698
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• 2017

With the rapid development of vehicular ad hoc Network (VANET), it has gained significant popularity and received increasing attentions from both academics and industry communities in aspects of security and efficiency. To address the security and efficiency issues, a self-authentication and deniable efficient group key agreement protocol is proposed in this paper. The scheme establishes a group between road side units (RSUs) and vehicles by using self-authentication without certification authority, and improves certification efficiency by using group key (GK) transmission method. At the same time, to avoid the attacker attacking the legal vehicle by RSUs, we adopt deniable group key agreement method to negotiation session key (sk) and use it to transmit GK between RSUs. In addition, vehicles not only broadcast messages to other vehicles, but also communicate with other members in the same group. Therefore, group communication is necessary in VANET. Finally, the performance analysis shows superiority of our scheme in security problems, meanwhile the verification delay, transmission overheard and message delay get significant improvement than other related schemes.

• 한국인터넷방송통신학회논문지
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• 제16권2호
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• pp.1-8
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• 2016

정보통신기술의 발달 및 인터넷 이용의 활성화로 간편결제 등 금융과 정보통신기술의 융합된 핀테크 산업이 활성화 되고 있다. 하지만 현재 법규 상 금융사고 발생 시 금융회사, 핀테크 업체와 소비자 간의 책임이 모호하고 금융기관 또는 전자금융업자가 손해배상을 해야 하는 경우 전자금융거래법 제정('06년) 당시 지정된 전자금융사고 책임이행 보험 가입 최저한도와 현재 전자금융거래 규모, 사고 발생 추이, 보안 투자 규모 등을 비교했을 때 현실적으로 적정하다고 보기 어렵다. 이에 본 논문에서는 국내 금융사고의 현황과 사후처리를 파악하고 현재 사이버 배상책임보험의 한계와 변경 필요성을 지적하고자 한다.

• 항공우주정책ㆍ법학회지
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• 제30권2호
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• pp.373-401
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• 2015

무인항공기 기술이 급속히 발전하고 시장이 확대되고 있으나 아직 국내 산업과 기술 수준은 선진국보다는 뒤처지는 상황이며 관련 법제도의 정비도 미흡한 실정에 놓여 있다. 그러나 무인항공기 기술이 출현한 지 오래되지 않아 격차가 크지 않고 특히 우리나라가 강한 면모를 보이는 ICT 분야와 연관성이 크다는 측면에서 무인항공기 분야는 전략적으로 육성할만하다고 판단된다. 따라서 이 논문에서는 무인항공기 관련 기술, 시장, 법제도 등의 현황 및 실태를 전반적으로 살펴보고 정책적으로 어떤 대응을 해야 하는지에 대한 방안을 제시해 보고자 하였다. 무인항공기 기술이 발달하고 그 활용이 증가함에 따라 이와 관련한 법체계의 조화와 정책적 대응이 매우 중요한 과제로 등장하였다. 무인항공기가 가져올 수 있는 위험성을 규제하는 법규의 중요성이 매우 큰 것이 사실이지만 한편으로 지나친 규제가 기술의 발달을 저해하고 결과적으로 시장과 사회의 정체를 가져올 수 있다는 것을 분명히 인식해야 한다. 특히 무인항공기와 같은 새롭고 유용한 기술 분야의 경우 관련 법과 제도를 신속하게 정립하고 정책적으로도 필요한 조치를 취하는 것은 새로운 기술의 발전과 그 활용도를 획기적으로 높이기 위해서도 필수적인 요소라 할 수 있다. 요컨대 무인항공기 산업 육성과 국민안전 및 사생활 보호를 동시에 도모하기 위해 규제 완화와 강화 사이의 적절한 수준의 제도 개선 및 정책적 지원이 중요하다고 하겠다.

• 한국분말재료학회지
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• 제23권4호
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• pp.325-330
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• 2016

Owing to increasing demand of rare metals present in ICT products, it is necessary to promote the rare metal recycling industry from an environmental viewpoint and to prevent climate change. Despite the fact that information for toxic substances is partly indicated, a legal basis and an international standard indicating usage of rare metals is insufficient. In order to address this issue, a newly created study group of environment and climate change at the ITU (International Telecommunication Union) is doing research to develop methodologies for recycling rare metals from ICT products in an eco-friendly way. Under this group, the Republic of Korea has established two international standards related to rare metals present in ICT products. The first is 'Release of rare metal information for ICT products (ITU-T L.1100)' and the other is 'Quantitative and qualitative analysis methods for rare metals (ITU-T L.1101)'. A new proposal for recommending the provision of rare metal information through a label by manufacturers and consumer/recycling businesses has been approved recently and is supposed to be published later in 2016. Moreover, these recommendations are also being extended to IEC, ISO and other standardization organizations and a strategy to reinforce the ability for domestic standardization is being established in accordance with industrial requirements. This will promote efficient recycling of rare metals from ICT products and will help improve the domestic supply of rare metals.

• 디지털콘텐츠학회 논문지
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• 제17권4호
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• pp.279-286
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• 2016

최근 남성들의 외모관리를 통한 이미지 개발에 대한 욕구가 강해짐에 따라 화장품 산업계는 남성들을 소비적이고 활동적이며 구매력 있는 고객층으로 높이 평가하며 남성을 주 소비층으로 무한 경쟁체제에 돌입하였다. 특히, 근래 경기침체로 인해 소비심리가 위축되는 상황에서 화장품 브랜드들은 남성들의 외모관리에 대한 정확한 인식과 그들이 뷰티 정보를 수용하는 매체들의 특징에 기반하여 효과적인 홍보 및 정보전달 전략이 필요하게 되었다. 이와 같은 사회문화적 맥락에서 본 연구는 20, 30대 젊은 남성들을 대상으로 헤어 관리, 피부 관리, 메이크업, 손발 관리, 성형 수술 등의 주요 외모관리 양식에 대한 인식과 정보수용매체의 특징을 분석하였다. 또한, 연구 결과로 밝혀진 정보 취득경로의 주요 매체인 TV CF와 실제 정보 획득의 주요 매체인 온라인 카페/블로그 간의 시공간적 분리 문제를 해결하기 위해 TV CF를 시청하면서 바로 관련 정보를 획득할 수 있는 TV CF 연동 데이터방송 서비스를 기획하고 데이터방송 국제표준인 MHP 기반 서비스 운영 방식을 고안하였다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2015년도 추계학술대회
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• pp.31-34
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• 2015

The U.S. music market is a lucrative market for many foreign musicians due to its sheer size and it continues to play a leading role in the world music industry. However, it is a challenge to gain entry into that market and an even greater challenge to achieve success and fame within it. In fact, changes in the media paradigm have allowed for musicians to be able to independently produce their own songs and promote them globally. Some scholars address that the media paradigm shifting from traditional outlets to new outlets gives a chance to bypass traditional gatekeepers when entering the U.S. music market. Based on this scenario, this article examined two songs from Korean singer, Psy: Gangnam Style and Gentleman as a single case study. Utilizing Google Trends as a source of information, this study examined how each song's recognition among American music fans was different based on radio spins on Top 40 commercial radio stations. This article sheds new light on radio, which has been neglected due to the media paradigm shift, and presents how radio programmers are part of a complicated gatekeeping process which ultimately decides which songs are to gain popularity.