• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.49-55
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• 2011

There are tries to unite through consilience in many fields. Interdisciplinary research is an instance of those. Linguistic studies called linguistic informatics or quantitative linguistics is a field of interdisciplinary research related with statistics linguists have studied chiefly statistics and linguistics. In the statistical aspect, there is need to supplement somewhat of the result of researches by linguists. This study shows statistical method can supplement insufficient objectivity in linguistic studies, and examines the way to raise a degree of completion of interdisciplinary research on statistics and linguistics. This study also shows an introduction and application of the statistical method can be useful for the deduction of objective linguistic information in linguistic studies.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.2
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• pp.76-86
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• 1989

Many intelligent robots that are equipped with special tools and sensors re currently used in assembly line. As automatic manufacturing systems including such robots become advanced and complicated, there are increasing needs for the development of the sophisticated programming systems which can control several robots and other manufacutring equipments in workcell at a time. In this paper a programming language, ARL (Assembly Robot Language), is proposed and developed, which can control the manufacturing devices as well as robots in workcell. It has not only all the common features of modern textual robot language but also debugging facilities. In this language system machine dependecy is minimized by using dedicated processes and a shared memory for communication between processes. Extensibility and adaptability of the programming system is increased by using such a technique against the changes of workcel environment.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.504-512
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• 2019

This study aims to investigate language society cultural aspects in a community, examining and comparing linguistic errors of English signboards (ES) at home and abroad. The data comprised the ES in 5 cities, Korea and in Paris, France. The findings showed that the errors of the ES in Korea reached to 39.2%, whereas those in Paris contained 24.7%. In Korea, ES and errors were the most in Myeong-dong area. In Paris, the most ES were in the area of Eiffel Tower, but the most linguistic errors appeared at the 3, 4 districts of Marais. Those errors belonged to most in the business of drink, food, and clothes in turn in Korea, while this was the case in the field of clothes, food, and culture in Paris. The frequent errors were classified into semantic, morphologic, and syntactic aspects in turn. The regulations on signboards of foreign languages existed but were not abided by in the both countries. Thus, more practical and reasonable devices and policies are required to establish a more harmonious atmosphere of the ES.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.5
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• pp.124-130
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• 2017

Character encoding is the method used to represent characters or symbols on a computer, and there are many encoding detection software tools. For the widely used encoding detection software"uchardet", the accuracy of encoding detection of unmodified normal text document is 91.39%, but the accuracy of language detection is only 32.09%. Also, if a text document is encrypted by substitution, the accuracy of encoding detection is 3.55% and the accuracy of language detection is 0.06%. Therefore, in this paper, we propose encoding and language detection of text document using the deep learning algorithm called LSTM(Long Short-Term Memory). The results of LSTM are better than encoding detection software"uchardet". The accuracy of encoding detection of normal text document using the LSTM is 99.89% and the accuracy of language detection is 99.92%. Also, if a text document is encrypted by substitution, the accuracy of encoding detection is 99.26%, the accuracy of language detection is 99.77%.

• 한국IT서비스학회:학술대회논문집
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• 2005.05a
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• pp.301-306
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• 2005

초기의 웹서비스는 인터넷에 존재하는 응용들을 보다 효율적으로 통합할 수 있는 기술로 인식되어, 지리적으로 분산되어 있는 기업 시스템을 통합하기 위한 목적이나 서로 다른 기업 간의 시스템 연동을 위한 목적으로 활용되기 시작하였다. 그러나, 최근에는 웹서비스의 적용이 크게 확산되면서 인터넷의 응용을 넘어 이동통신 망 응용까지 확산되고 있는 추세이다. 이는 웹서비스가 아스키 기반의 XML 표준을 기반으로 하고 있어 플랫폼, 프로그래밍 언어, 통신망에 독립적인 특징을 갖으며, 또한 웹의 국제 표준화 기구인 W3C를 중심으로 개발된 표준 기술이기 때문이다. 현재 MS, IBM 등 주요 IT 기업들은 이와 같은 웹서비스의 장점을 이용하여 유비쿼터스 환경에 존재하는 다양한 종류의 디바이스를 연동하기 위한 기술에 집중하고 있다. 본 논문에서는 유비쿼터스 환경에서 웹서비스를 이용하여 디바이스를 연동하는 기술과 디바이스가 기존에 인터넷에 존재하는 웹서비스를 연동하기 위해 필요한 기술에 대하여 설명한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.265-268
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• 2012

검증에 사용하는 명세는 대부분 1차 술어 논리(First Order Logic)로 이루어져 있다. 1차 술어 논리가 자연언어 대부분을 표현하지만 표현하지 못하는 부분도 존재한다. 이를 해결하기위해 양상논리(Modal Logic)를 추가한 명세방법이 존재하지만 간접적인 방법으로만 존재할 뿐 이다. 본 논문에서는, 양상논리를 이용한 명세의 직접적인 표현을 위해 BML(Bytecode Modeling Language)을 확장한다. 이를 통해, 명세정보 표현의 정확성을 향상시킨다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.216-217
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• 2023

브라우저, 컴파일러 등과 같이 규모가 큰 소프트웨어에 존재하는 버그 및 취약점을 찾기 위해 퍼징은 자주 사용되는 방법 중 하나이다. 특히 컴파일러에 존재하는 버그를 찾기 위해 다양한 퍼징 방법이 연구되었으며 컴파일러의 문법 검사를 통과하여 컴파일러 내부 깊은 곳에 존재하는 버그를 찾기 위한 연구도 진행되었다. 최근 머신러닝을 활용하여 특정 언어의 문법을 학습 시킨 모델을 활용해 퍼징을 하는 연구가 활발히 진행되고 있다. 이에 본 논문에서는 컴파일러를 퍼저에 머신러닝을 적용한 연구에 대하여 정리했다.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.532-540
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• 2012

The purpose of this study is to explore young children's perception of IrobiQ, the teacher assistive robot. Participants of this study were fifty 5 year olds attending 3 kindergarten centers who had experienced the robot for at least 2 years. The study was conducted based on the "the hypothesis of speech register". Each child was read a storybook by a researcher and asked to choose which one is more suitable to human speech tones and accents among a robot, a friend, and a toy. The findings of this study were that the children perceived a robot as a hybrid compound entity, not as a complete human though they perceived it closer to a human than an artificial thing. They were likely to use cognitive distinctions which is unique to human being, as the criteria to verify their answers. These results would suggest that the traditional binary ontological category(animate vs. inanimate) is reconsidered to include an hybrid entity.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.145-157
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• 2009

In recent years, there have been several researches applying workflow technologies for service automation on ubiquitous computing environments. However, most context-aware workflow languages have difficulties in supporting composite workflows composed of single workflows, because these languages are still in its early stage and they only provide single workflow services to their users. This paper introduces CAWL, which is a context-aware workflow language. CAWL is for describing individual service workflows to make integrated service workflows. By using CAWL, service developers are able to reuse existing workflows to develop new context-aware workflow services. Therefore, development efforts and time can be saved and workflow resusability also increased. CAWL is expected to make it easy to develop applications related to context-aware workflow services on ubiquitous computing environments.

• The Journal of the Acoustical Society of Korea
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• v.40 no.6
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• pp.678-682
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• 2021

Reverberation Time (RT) with noise levels can affect speech recognition ability in a listening environment. The degree of influence may depend on reverberation times and modes of binaural hearing. In this study, Korean monosyllabic Word Recognition Scores (WRS) were investigated in 10 young normal hearing subjects under binaural conditions. The RT of 3.4 s and signal to noise ratio of 0 dB were used at 55 dB HL for diotic (noise with the same phase) and dichotic (noise with the fixed phase difference, π) conditions. The improvement in WRS was noted in dichotic hearing (p < 0.05) while the similar trend was not observed in diotic hearing. This data may be useful in analyzing psychoacoustic effects of RTs under noisy conditions.