• 정보보호학회논문지
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• 제17권3호
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• pp.27-33
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• 2007

최근 M.Yoshida 등에 의해 2차원 벡터 공간상의 벡터 분해 문제 (vector decomposition problem 또는 VDP) 가 제안되었고, 그것은 어떤 특별한 조건하에서는 최소한 1차원 부분공간상의 계산적 Diffie-Hellman 문제 (CDHP) 보다 어렵다는 것이 증명되었다. 하지만 그들의 증명이, VDP를 암호학적 프로토콜 설계에 적용하려면 필요한 조건인 벡터 공간상의 주어진 기저에 관한 임의의 벡터의 벡터 분해 문제가 어렵다는 것을 보이는 것은 아니다. 본 논문에서는 비록 어떤 2차원 벡터 공간이 M.Yoshida 등이 제안한 특별한 조건을 만족한다 할지라도, 특정한 모양의 기저에 관해서는 벡터 분해 문제가 다항식 시간 안에 해결될 수 있다는 것을 보여준다. 또한 우리는 다른 구조를 갖는 어떠한 기저들에 대해서는 그 2차원 벡터 공간 상의 임의의 벡터에 대한 벡터 분해 문제가 적어도 CBHP 만큼 어렵다는 것을 증명한다. 그러므로 벡터 분해 문제를 기반이 되는 어려운 문제로 하는 암호학적인 프로토콜을 수행할 때는 기저를 주의하여 선택하여야 한다.

• 한국중재학회지:중재연구
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• 제27권4호
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• pp.179-198
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• 2017

The OECD Guidelines for Multinational Enterprises (The Guidelines) was initially promulgated in 1976 as a form of annex to the OECD Declaration on International Investment and Multinational Enterprises. The Guidelines aims at accomplishing the implementation and dissemination of the Responsible Business Conduct. The latest version of The Guidelines, as revised in 2011, directed 47 adhering countries to The Guidelines to set up their respective National Contact Points (NCPs). NCPs are The Guidelines' dispute resolution mechanism for specific instances arising from breach by multinational enterprises of The Guidelines. Korea to date has its own NCP performing its role to offer good offices and facilitates settlement between the parties to the specific instances regarding The Guidelines. However, there has been strong criticism from NGOs and civil society that Korea NCP has not performed well due to lack of transparency and impartiality, especially in the context of the governance of Korea NCP. Under this circumstance, this paper ⅰ) examines current status and problems of Korea NCP, ⅱ) evaluates the core criteria for function and governance of NCPs through a comparative overseas cases study, and ⅲ) suggests improvement plans for Korea NCP.

• 대한골관절종양학회지
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• 제3권1호
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• pp.9-17
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• 1997

Resistance to combination chemotherapy remains challenge in the treatment of osteosarcoma. One of the mechanisms of multiple drug resistance is an increased expression of the multidrug resistance gene(mdr1). Expression of the P-glycoprotein(mdr-1 gene product) was studied immunohistochemically and the mdr-1 gene by in situ hybridization in 33 osteosarcomas relating to various prognostic factors. Thirty cases out of 33 osteosarcomas(90.9%) showed positive cytoplasmic reactions with P-glycoprotein and nineteen instances(57.6%) were strong positive(2+). The older(>20 years) and female patients revealed more intense immunohistochemical reactions rather than those of the younger and male patients. Osteoblastic and chondroblastic osteosarcomas revealed more strong immunohistochemical reactions compared to fibroblastic types. There were no significant staining differences between the type of bony involvement, Broder's grade and the presence of necrosis. On follow-up, the mean survival rate was decreased in the strong positive group, however, this was not statistically significant. In situ hybridization for mdr-1 gene revealed positive signals in 22 cases out of 29 osteosarcomas(75.9%). Chemotherapy was done in 15 cases out of 28 patients(53.6%). The results of immunohistochemistry and in situ hybridization were not correlated with the protocols for chemotherapy. However, this result should be confirmed by a larger scale study about mdr1 mRNA expression.

• 대한산업공학회지
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• 제38권2호
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• pp.74-79
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• 2012

An efficient separation heuristic for the rank-1 Chvatal-Gomory cuts for the binary knapsack problem is proposed. The proposed heuristic is based on the decomposition property of the separation problem for the fixedcharge 0-1 knapsack problem characterized by Park and Lee [14]. Computational tests on the benchmark instances of the generalized assignment problem show that the proposed heuristic procedure can generate strong rank-1 C-G cuts more efficiently than the exact rank-1 C-G cut separation and the exact knapsack facet generation.

• 한국경영과학회지
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• 제40권3호
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• pp.23-38
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• 2015

In this paper, we evaluate the strength of three families of cutting planes for a lot-sizing problem. Lot-sizing problem is very basic MIP model for production planning and many strong valid inequalities have been developed for a variety of relaxations in the literature. To use three families of cutting planes in Branch-and-Cut framework, we develop separation algorithms for each cut and implement them in CPLEX. Then, we perform computational study to compare the effectiveness of three cuts for randomly generated instances of the lot-sizing problem.

• 대한음성학회지:말소리
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• 제19_20호
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• pp.43-57
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• 1990

The teaching of pronunciation is one of the areas in which linguistic phonetics can play an extremely useful role. This paper is concerned with the application of the results of my phonetic research to the actual teaching of Korean standard pronunciation with special reference to speech rhythm. It has been found that Korean words and utterances of various lengths are pronounced in standard Korean with one of the four main rhythmic patterns, each containing a strong stress. Unless we get the rhythmic patterns right in pronouncing Korean words and utterances, therefore, the resulting pronounciation is bound to sound dialectal or incorrect and in many instances even unintelligible to listeners. Hence the undeniable need to devise a useful technique to teach the Korean speech rhythm in a systematic way. In this paper each of the four main rhythmic patterns is presented and elaborated with sample examples taken from the living Korean. It is hoped that these examples of words and utterances can be used at the same time as useful pronunciation drill material not only for Koreans with dialectal background but also for foreign learners of Korean.

• International Journal of Knowledge Content Development & Technology
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• 제4권1호
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• pp.53-78
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• 2014

As instances of private information leak increase, taking steps to protect such information becomes a necessity. In this study of public library patrons, we strove for a comprehensive understanding of library usage records to suggest viable solutions for private information safety in public libraries. To this end, we investigated the patrons' understanding of library usage records and determined the relationship between different user characteristics and privacy knowledge or leaks. The results show that a high number of patrons perceived these records as their own private information, but that there was no necessity for legal procedures or consent for the use of these records. Also, even though the understanding of these usage records showed that there was a relationship between the frequency of library visits and leaks of personal information, the correlation was not particularly strong.

• International Journal of Computer Science & Network Security
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• 제23권1호
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• pp.112-119
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• 2023

Traditionally used for networking computers and communications, the Internet has been evolving from the beginning. Internet is the backbone for many things on the web including social media. The concept of social networking which started in the early 1990s has also been growing with the internet. Social Networking Sites (SNSs) sprung and stayed back to an important element of internet usage mainly due to the services or provisions they allow on the web. Twitter and Facebook have become the primary means by which most individuals keep in touch with others and carry on substantive conversations. These sites allow the posting of photos, videos and support audio and video storage on the sites which can be shared amongst users. Although an attractive option, these provisions have also culminated in issues for these sites like posting offensive material. Though not always, users of SNSs have their share in promoting hate by their words or speeches which is difficult to be curtailed after being uploaded in the media. Hence, this article outlines a process for extracting user reviews from the Twitter corpus in order to identify instances of hate speech. Through the use of MPCA (Modified Principal Component Analysis) and ECNN, we are able to identify instances of hate speech in the text (Enhanced Convolutional Neural Network). With the use of NLP, a fully autonomous system for assessing syntax and meaning can be established (NLP). There is a strong emphasis on pre-processing, feature extraction, and classification. Cleansing the text by removing extra spaces, punctuation, and stop words is what normalization is all about. In the process of extracting features, these features that have already been processed are used. During the feature extraction process, the MPCA algorithm is used. It takes a set of related features and pulls out the ones that tell us the most about the dataset we give itThe proposed categorization method is then put forth as a means of detecting instances of hate speech or abusive language. It is argued that ECNN is superior to other methods for identifying hateful content online. It can take in massive amounts of data and quickly return accurate results, especially for larger datasets. As a result, the proposed MPCA+ECNN algorithm improves not only the F-measure values, but also the accuracy, precision, and recall.

• 전자공학회논문지CI
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• 제47권1호
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• pp.104-115
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• 2010

유비쿼터스 기술의 보편화에 따라 유비쿼터스 환경의 보안 취약성을 해결하기 위한 보안기술의 연구가 주목받고 있다. 그러나 현재의 대다수 보안 시스템은 고정된 규칙을 기반으로 하는 것으로서, 유비쿼터스 기반 사용자의 다양한 상황에 제대로 대응하지 못하는 문제점이 있다. 또한 기존의 상황인식 보안 연구는 ACL (Access Control List) 혹은 RBAC (Role-Based Access Control) 계열의 연구가 많이 수행되고 있으나 보안정책의 관리에 대한 오버헤드가 크고, 또한 예상하지 못한 상황에 대한 대응이 어렵다는 문제점을 보이고 있다. 이에 본 논문에서는 퍼지 알고리즘과 MAUT를 이용하여 다양한 상황을 인식하고 적절한 보안기능을 제공하는 상황인식 보안 서비스를 제안한다.

• 한국언어정보학회지:언어와정보
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• 제6권2호
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• pp.1-14
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• 2002

This paper discusses so called the non-DP subject constructions in English. In general, a subject is a DP that bears Nominative case and that occupies 〔Spec, IP〕. However, in some examples under investigation, it looks as if non-DP categories such as Prepositional Phrases(PP), Adjectival Phrases(AP), Adverbial Phrases (AdvP), Small Clauses (PreP or SC), and VP occupy the canonical subject position, 〔Spec, IP〕. Under the framework of Chomsky's (1993, 1995) along with his previous works (Chomsky 1981, 1986), the Case Checking mechanism undoubtedly assumes that only DPs can have Case Therefore, the Case Checking/Agree mechanism is stated such that the strong uninterpretable feature, in this case Case feature (D or NP) feature must be checked off in a certain manner. Therefore, any phrasal categories other than DPs are not included in the considerations. Nonetheless, there are many instances of non-DP categories in English that occupy the seemingly canonical subject position, 〔spec, IP〕. In this paper, it is proposed that the actual position of these non-DP subjects in English is not in Spec of IP. Rather, they occupy 〔Spec, TopP〕 under CP in the sense of Lasnik & Stowell (1991), Rizzi (1997), and Haegeman & Gueron (1999). In its effect, therefore, this paper extends the idea of Stowell (1981) who argues that the clausal subjects in English is not in 〔Spec, IP〕, but in 〔Spec, TopP〕. We further argue that Stowell's version of Case Resistance Principle must be extended in order to accomodate many more occurrences of so called non-DP subjects.