• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.1
• /
• pp.260-280
• /
• 2020

Cyber-attacks emerge in a more intelligent way, and various security technologies are applied to respond to such attacks. Still, more and more people agree that individual response to each intelligent infringement attack has a fundamental limit. Accordingly, the cyber threat intelligence analysis technology is drawing attention in analyzing the attacker group, interpreting the attack trend, and obtaining decision making information by collecting a large quantity of cyber-attack information and performing relation analysis. In this study, we proposed relation analysis factors and developed a system for establishing cyber threat intelligence, based on malicious code as a key means of cyber-attacks. As a result of collecting more than 36 million kinds of infringement information and conducting relation analysis, various implications that cannot be obtained by simple searches were derived. We expect actionable intelligence to be established in the true sense of the word if relation analysis logic is developed later.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.935-936
• /
• 2009

본 논문에서는 과학기술문서에 존재하는 기술용어와 이들 간의 연관관계를 설명하는 디스크립터를 찾아서 [subject predicate object] 형태의 트리플을 생성하는 애플리케이션을 개발할 때 발생하는 단어 의미 애매성 해소 문제를 다룬다. 기술용어가 가지고 있는 연관관계를 결정하기 위해서 워드넷의 신셋 정보를 사용하는데 이 방법은 동사를 워드넷에 매핑할 때와 상위어 관계로 전이할 때 여러 개의 의미에 매핑되는 문제점이 발생한다. 이것을 해결하기 위해서 상위어 시퀀스 클러스터링을 이용한 단어의 의미 애매성 해결 방안을 제시한다. 이 방법을 사용함으로써 워드넷 매핑과 상위어 전이 시에 발생하는 다중 매핑 문제를 동시에 해결할 수 있다.

• Language and Information
• /
• v.8 no.2
• /
• pp.113-130
• /
• 2004

In a prevailing view of meaning and reference (cf. Frege 1892), words pick out entities in the physical world by virtue of meaning. Linguists and philosophers have argued whether the meaning of a word is inside or out-side language users' mind; but, in general, they have taken it for granted that words refer to entities in the physical world. Hilary Putnam (1975), based on his famous twin-earth thought experiment, argued that the meaning of a word could not be inside language users' head. In this paper, I point out that Putnam's argument makes sense only if words refer to entities in the physical world. That is, Putnam did not provide any argument against mentalistic semantics, since he erroneously assumed that meaning, but not reference, was inside our mind in mentalistic semantics. Mentalistic semanticist, however, assume that words pick out their references inside our head (instead of a possible outside world). A number of arguments for the mentalistic position come from psychology: studies on emotion and visual perception provide numerous cases where words cannot pick out entities from the physical world, but inside our head. The mentalistic theory has desirable consequences for the philosophy of language in that some classical puzzles of language (e.g. Russell's (1919) well-known puzzle of excluded middle) are explained well in the proposed theory.

• JSTS:Journal of Semiconductor Technology and Science
• /
• v.2 no.3
• /
• pp.173-179
• /
• 2002

We propose a novel sensing circuit for 2T-2MTJ MRAM that can be used for high speed synchronous operation. Proposed bit-line sense amplifier detects small voltage difference in bit-lines and develops it into rail-to-rail swing while maintaining small voltage difference on TMR cells. It is small enough to fit into each column that the whole data array on selected word line are activated as in DRAMs for high-speed read-out by changing column addresses only. We designed a 256Kb read-only MRAM in a $0.35\mu\textrm{m}$ logic technology to verify the new sensing scheme. Simulation result shows a 25ns RAS access time and a cycle time shorter than 10 ns.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.04b
• /
• pp.508-510
• /
• 2002

인터넷의 발전과 더불어 기하급수적으로 늘어난 디지털 정보를 대상으로 사용자의 요구를 만족시키는 정보검색을 하기 위해 자연어처리 기술이 많이 응용되고 있다. 본 논문에서는 정보검색에 자연어 처리 기술 중, 의미중의성 해소(WSD) 기술을 적용하였다. HANTEC 12만 문서를 대상으로 9개의 중의성 단어를 실험한 결과 67.8%의 정확률을 보였다. 본 실험을 통해 WSD의 오분석이 정보검색의 정확률에 상당히 민감한 결과를 초래함을 알 수 있었다. 그리고, WSD 기술이 정보검색에 적용된 떼 발생할 수 있는 여러 문제점들에 대하여 논의하였고, 이 문제점의 근원적인 해결방안은 WSD기술의 발전에 있다는 것을 알 수 있었다.

• Proceedings of the IEEK Conference
• /
• 2002.07c
• /
• pp.1752-1755
• /
• 2002

The world wide web (WWW) already accounts f3r more Internee network traffic than any other application, including il and simple file transfer. It is also a collaborative technology in a weak sense of the word - it allows people to share information. Synchronous collaboration is where an interactive activity is simultaneous and in teal-time. Computer based real time collaborative systems like shared whiteboards. collaborative editor etc. are only beginning to emerge recently. These applications invoking more than two users exchanging information, require Multicast communication. Multicast communication is a transmission mode that is now supported by a variety of local and wide area networks. Multicasting enables multiparty communication across a wide area to sparsely distributed groups by minimizing the network load. Multicasting itself is one of the key technologies in the nut generation of the Internet This paper describes the technical issues from the aspect of multicast communication and its reliability in synchronous collaborative application.

• Journal of KIISE:Software and Applications
• /
• v.30 no.7_8
• /
• pp.659-671
• /
• 2003

This paper proposes a method of disambiguating the senses of words using decision lists, which consists of rules with confidence values. The rule of decision list is composed of a boolean function(=precondition) and a class(=sense). Decision lists classify the instance using the rule with the highest confidence value that is matched with it. Previous work disambiguated the senses using single feature decision lists, whose boolean function was composed of only one feature. However, this approach can be affected more severely by data sparseness problem and preprocessing errors. Hence, we propose multiple feature decision lists that have the boolean function consisting of more than one feature in order to identify the senses of words. Experiments are performed with 1 sense tagged corpus in Korean and 5 sense tagged corpus in English. The experimental results show that multiple feature decision lists are more effective than single feature decision lists in disambiguating senses.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 2002.02a
• /
• pp.147-156
• /
• 2002

Aligned parallel corpora have proved very useful in many natural language processing tasks, including statistical machine translation and word sense disambiguation. In this paper, we describe an alignment technique for extracting transfer mapping from the parallel corpus. During building our system and data collection, we observe that there are three types of translation approaches can be used. We especially focuses on Traditional Chinese and Simplified Chinese text lexical translation and a method for extracting transfer mappings for machine translation.

• Proceedings of the Korean Society for Information Management Conference
• /
• 1999.08a
• /
• pp.151-155
• /
• 1999

기존의 문헌정보검색에 있어 어휘의미중의성은 검색 효율 저하의 주요 원인 중 하나로 생각되어져 왔다. 어휘 의미중의성에 의한 검색 효율 저하란 검색어로 입력한 어휘가 문서에서 서로 다른 의미로 사용됨에 따라 의도하지 않은 다른 문서가 검색될 수 있음을 의미한다. 본 논문에서는 새로운 정보 검색 환경인 인터넷기반 정보검색에 인어 어휘의미중의성이 검색 정확율에 미치는 영향을 살펴보고, 기존에 문헌정보검색에 있어 어휘 의미중의성에 관한 연구가 인터넷기반 정보검색에 있어서도 제대로 적용되는지를 확인해 보았다. 또한 실험을 통해 검색어 수와 어휘의미중의성 간의 상관관계를 조사하였으며, 일반 이용자가 인터넷기반 정보검색 수행시 어휘의미중의성에 의한 검색 효율 저하를 최대한 방지할 수는 방법에 대해 모색해 보았다.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.2
• /
• pp.81-89
• /
• 2022

This study aims to analyze the images of Instagram posts and to draw implcations regarding the exhibition of . This study collects and crawl 24,295 images from Instagram posts as a dataset. We use the Google Cloud Vision API for labeling the images and a total of 212,567 clusters of labels are finally classified into 9 categories using Word2Vec. The categories of museum spaces, photo zone, architecture category are dominant along with people category. In conclusion, visitors curate their experiences and memories of physical places and spaces while they are experiencing with the exhibition. This result reproves the results of previous studies which emphasize a sense of social presence and place making. The convergent approach of art management and art technology used in this study help museum professionals have an insight on big data based visitor research on a practical level.