• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.1
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• pp.51-56
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• 2008

The counter-fire operation system performs its mission exchanging information with other related systems such as command & control systems and military information systems. In the process of exchanging information, the counter-fire operation system uses a type of data message which contains exchange data information in the format of KMTF. The requirement of data exchange of count-fire operation will continue to evolve. But the EDX(External Data eXchange) configuration item of the current counter-fire operation system can not effectively cope with the variation of data exchange requirements due to its fixed software structure. In the paper, a solution for improving flexibility of external data exchange in counter-fire operation system is proposed.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.474-482
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• 2023

Data mining is a technique for extracting valuable information from vast amounts of data by analyzing statistical and mathematical operations, rules, and relationships. In this study, we employed data mining technology to analyze the data concerning the painting poetry of Maehwado (plum blossom paintings) from the early Joseon Dynasty. The data was extracted from the Hanguk Munjip Chonggan (Korean Literary Collections in Classical Chinese) in the Hanguk Gojeon Jonghap database (Korea Classics DB). Using computer information processing techniques, we carried out web scraping and classification of the painting poetry from the Hanguk Munjip Chonggan. Subsequently, we narrowed down our focus to the painting poetry specifically related to Maehwado in the early Joseon Dynasty. Based on this, refined dataset, we conducted an in-depth analysis and interpretation of the text data at the syllable corpus level. As a result, we found a direct correlation between the corpus statistics for each syllable in Maehwado painting poetry and the symbolic meaning of plum blossoms.

• International Journal of Knowledge Content Development & Technology
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• v.2 no.2
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• pp.47-56
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• 2012

This study analyzes gender bias in children's informational books about science and science careers to determine how these early resources are affecting the disparity between males and females in science and engineering fields. The study focused on the number of male and female scientists both in pictures and text, and how much space was devoted to discussion of scientists of each gender. Overall, the findings of the study show that only 18% of the pictured scientists were female as well as only 16% of the scientists discussed in the text. These numbers are below current industry data that puts the number of females working in science and engineering fields at 26%.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.175-178
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• 2017

본 연구는 거시적 빅데이터 인문학과 미시적 언어 텍스트 검색 시스템을 구축하고, 이를 통해서 언어를 통한 문화의 역동적 변화를 시간적 순서에 따라 살펴보고자 한다. 연구의 최종적인 목표는 문화도 생물체처럼 변화하는 존재라 여기고 그 구성요소들을 연구한다는 뜻인 '문화체학(文化體學; Culturomics)'과 같은 '인문학 + 정보과학 + 사회과학' 등등의 다학문간의 융합적 연구에 있다. 이 시스템을 통해서 인류 역사의 기록인 텍스트 빅데이터를 통한 인문학적 성찰을 시각화하고 있다. 이러한 구글의 업적은 인문학과 정보기술의 융합을 통해서 인문학 자체의 지평을 넓히고, 사회과학을 변형시키고, 산업과 상아탑 사이의 관계를 재조정하는데 있다.

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

• MALSORI
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• no.46
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• pp.117-126
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• 2003

This paper presents our language model adaptation for Korean spontaneous speech recognition. Korean spontaneous speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpus. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf/sup */idf similarity. In addition to relevance weighting, we use disfluencies as Predictor to the neighboring words. The best result reduces 9.7% word error rate relatively and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor also.

• The KIPS Transactions:PartB
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• v.11B no.1
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• pp.117-124
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• 2004

This paper proposes an efficient algorithm of NaiveBayes without loss of its accuracy. The proposed method uses the transposition of category vectors, and minimizes the computation of the probability of NaiveBayes. The proposed method was implemented on the existing framework of the text categorization, so called, AI::Categorizer and it was compared with the conventional NaiveBayes with the well-known data, Router-21578. The comparisons show that the proposed method outperforms NaiveBayes about two times with respect to the executing time.

• IE interfaces
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• v.15 no.4
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• pp.391-400
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• 2002

The internet call systems using CTI(Computer Telephony Integration) functions are designed with system configuration, DFD(Data Flow Diagram) and ERD(Entity Relationship Diagram) in this paper. The internet call systems are constructed to cooperate with conventional CTI call center. The internet phone calls occurred from the web browser of customer can be connected throughout VoIP gateway and PBX to many counselors. The internet call systems can provide various services; customer information service, escorted browsing service, text chatting service, text sharing service, conference service, and statistical analysis service.

• The Korean Journal of Applied Statistics
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• v.15 no.2
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• pp.423-432
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• 2002

Web Based electronic texts are studied on the statistics education fields. In this paper, we discuss the current problems encountered by many statistics electronic texts. We also suggest a new design concept for the Web Based interactive material. In addition, we presented several examples to demonstrate.