• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1489-1497
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• 2018

Web application services have diversified. At the same time, research on intrusion detection is continuing due to the surge of cyber threats. Also, As a single-defense system evolves into multi-level security, we are responding to specific intrusions by correlating security events that have become vast. However, it is difficult to check the OS, service, web application type and version of the target system in real time, and intrusion detection events occurring in network-based security devices can not confirm vulnerability of the target system and success of the attack A blind spot can occur for threats that are not analyzed for problems and associativity. In this paper, we propose the validation of effectiveness for intrusion detection events using TF-IDF. The proposed scheme extracts the response traffics by mapping the response of the target system corresponding to the attack. Then, Response traffics are divided into lines and weights each line with an TF-IDF weight. we checked the valid intrusion detection events by sequentially examining the lines with high weights.

• MALSORI
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• v.68
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• pp.65-74
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• 2008

A statistical parametric speech synthesis system based on the hidden Markov models (HMMs) has grown in popularity over the last few years, because it needs less memory and low computation complexity and is suitable for the embedded system in comparison with a corpus-based unit concatenation text-to-speech (TTS) system. It also has the advantage that voice characteristics of the synthetic speech can be modified easily by transforming HMM parameters appropriately. In this paper, we present experimental results of voice characteristics conversion using the HMM-based Korean speech synthesis system. The results have shown that conversion of voice characteristics could be achieved using a few sentences uttered by a target speaker. Synthetic speech generated from adapted models with only ten sentences was very close to that from the speaker dependent models trained using 646 sentences.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.53 no.4
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• pp.216-222
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• 2004

This research is that concern in mathematics education of Technical high school Department of Electricity in the 7th educational curriculum. we indicated problem compare 7th with 6th mathematics curriculum subject contents in Technical high school Department of Electricity. And examine major subject contents, analyzed contents of mathematics that must supplement and mathematics which use in major subject. Established contents of electricity mathematics education that need to major learning to satisfy target of technical high school technical education that is presented in the 7th training courses with this analysis. Also, we hope these results are into consideration when writing new mathematics text in Technical high school Department of Electricity.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.193-199
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• 2003

The application of finding occurrences of a pattern that contains gaps includes information retrieval, data mining, and computational biology. As the biological sequences may contain errors, it is important to find not only the exact occurrences of a pattern but also approximate ones. In this paper we present an O(mnk$_{max}$/w) time algorithm for the approximate gapped pattern matching problem, where m is the length of the text, H is the length of the pattern, w is the word size of the target machine, and k$_{max}$ is the greatest error bound for subpatterns.

• Journal of Korean Medical classics
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• v.18 no.3 s.30
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• pp.183-206
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• 2005

'Sanghallonju'(傷寒論注) reorganized the formation according to method of 'the classification of similar symptoms' and annotated the text of Sanghallon, introducing his new methodology and 'Sanghallonik'(傷寒論翼) proclaimed his new finding of the science of the Sanghan. Meanwhile, 'Sanghanbuik' (傷寒附翼) explains various prescriptions in the 'Sanghallon'. It categorizes prescriptions according to the six Meridians and sum up Gageum's research by commenting on the target symtoms and the use of medicine on each prescriptions. Gageum's study is consistent in desire for embodying the universality of the differentiation of syndromes in accordance with the theory of the six Meridians.(六經辨證) in the medical scene. From his work, the substantiality of the six 'Sanghandbuik' is a publication that shows the essence of Gageum's medical science from his inclination, conclusion and concrete methodology.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.2
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• pp.77-84
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• 2016

In the field of natural language processing, Universal Networking Language (UNL) has been used by various researchers as an inter-lingual approach to automatic machine translation. The UNL system consists of two main components, namely, EnConverter for converting text from a source language to UNL, and DeConverter for converting from UNL to a target language. Currently, many projects are researching how to apply UNL to different languages. In this paper, we introduce the tools that are UNL's applications and discuss how to reuse them to encode a Vietnamese sentence into UNL expressions and decode UNL expressions into a Vietnamese sentence. The testing was done with about 1,000 Vietnamese sentences (a dictionary that includes 4573 entries and 3161 rules). In addition, we compare the proportion of sentences translated based on a direct method (Google Translator) and another one based on UNL.

• Speech Sciences
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• v.7 no.3
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• pp.185-195
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• 2000

This paper seeks to compare the feature parameters used in speaker identification systems under noisy environments. The feature parameters compared are LP cepstrum (LPCC), Cepstral mean subtraction(CMS), Pole-filtered CMS(PFCMS), Adaptive component weighted cepstrum(ACW) and Postfilter cepstrum(PF). The GMM-based text independent speaker identification system is designed for this target. Some series of experiments show that the LPCC parameter is adequate for modelling the speaker in the matched environments between train and test stages. But in the mismatched training and testing conditions, modified parameters are preferable the LPCC. Especially CMS and PFCMS parameters are more effective for the microphone mismatching conditions while the ACW and PF parameters are good for more noisy mismatches.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.113-122
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• 2009

The majority of programming education in the learning place attaches importance more to grammar, memorization of the imperative sentence and explanation of the program language itself than the specific way to use the target language. In addition, it is mainly used to teach theoretical knowledge based on the text. Consequently, current programming education has not interested learners in the programming learning and has not improved their ability in programming problems of the real world. We therefore developed a learning tool of C-language, which is based on the Console Wrapper. The purpose of proposing the learning tool was to make the programming education break from the typical theoretical learning and to let learners be interested in the programming education. By using the dynamic screen instead of the static console screen, the learners could enjoy learning the program. As a result of this study, we could know that the programming education using our learning tool is more effective than the typical C language programming education.

• Journal of information and communication convergence engineering
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• v.8 no.4
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• pp.433-436
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• 2010

In this paper, we presented a ciphering method whose target data is any kind of digital bit-stream. It uses a chaotic system as the main encrypting tool, MISR (Multi-Input Signature Register), and shift-and-rotation function, all of which are exclusive-ORed with the plaintext. Also, it incorporates a cipher text feedback mode such that part of the previously ciphered data is fed back to encrypt the current data. The encryption block size and the amount of feedback data are different at each ciphering operation. Experimental results with the image/video date showed that this method has enough speed and encryption effect with negligible latency time. Thus, we are expecting it to have various application areas that need high speed stream ciphering with high security level.

• Cross-Cultural Studies
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• v.24
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• pp.84-98
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• 2011

This paper aims to analyze the influences of the socio-cultural environment on discourse in translation. To illustrate a deep connection between discourses and societies in which they were produced, communicative patterns of high- and low-context cultures are examined. Though the original version of the translated text comes from a different culture, the translation reflects communicative preferences of the target culture. To uncover some of these preferences, a comparative study of two translations from Russian into English and from English into Russian is conducted. This study, together with further investigation of some more recent translations into Russian, revealed a number of choices affected by translators' cultural background (for example, making the translation more emotionally charged) and current ideological preferences in the society (excessive use of anglicisms).