• Journal of Information Management
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• v.28 no.2
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• pp.54-70
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• 1997

The author describes document delivery services and document usage patterns of domestic users based on usage statistical data about photocopying service of KINITI that the most important document delivery organization in Korea. And investigated ordering procedures of users, number of document processed and rejected in photocopying service, and delivery methods for users and so on. In FY 1996, number of document in photocopying service increased 2.4 percent in proportion to previous year.

• Annual Conference of KIPS
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• 2012.11a
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• pp.364-366
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• 2012

본 논문은 다중 객체 추적 시스템에 관한 연구로서, Online boosting 을 기반으로 다중 객체 추적 기술이 개발되었다. 기존의 Boosting 기반의 추적 기술과는 다르게 객체들간의 구별을 좀더 명확하게 하기 위하여, 프레임과 프레임간의 객체들끼리의 연결 시 공간적인 제약조건과 시간적 제약 조건을 이용하여 Online Boosting 알고리즘을 설계하였다. 본 시스템에서는 멀리 떨어져있는 객체들간에는 연관성이 낮다는 점을 보다 강력하게 고려하였기에 추적하는 과정에서 물체들끼리의 연관 오류가 줄어들었고, 이는 몇 개의 범용데이터를 이용한 실험을 통해 증명하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.133-134
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• 2022

본 논문에서는 자율운항선박의 육상 관제 및 원격제어를 위해, 자율운항선박의 비상상황인식 기술 개발에 대한 기초연구를 수행한다. 자율운항선박 주변의 타선들의 이동 경로를 예측하고 이에 따라 자선의 이동경로와 비교하여, 충돌위험 영역을 식별함으로써 비상상황 인식이 가능하도록 한다. 먼저, 타선의 이동경로 예측을 위해서는 선박자동식별시스템 AIS 정보를 바탕으로, 해당 해역에서의 통항패턴을 분석하고 이를 기반으로 타선의 특정 시간 동안의 이동 경로를 예측한다. 예측된 타선의 이동경로와 함께 자선의 이동경로를 비교 분석함으로, 최근 접점 및 최근접점 거리 정보 기반의 충돌위험영역을 식별한다. 식별된 충돌위험영역의 위험도에 따라 육상 관제센터에서는 원격 제어를 통한 위험상황 회피가 가능하도록 활용할 수 있다. 제안된 방법은 AIS에서 얻어지는 실제 항적 데이터를 이용하여 초기 결과를 검증하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.3
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• pp.471-485
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• 2023

Recently, due to the nature of blockchain that guarantees users' anonymity, more and more cases are being exploited for crimes such as illegal transactions. However, cryptocurrency is protected in cryptocurrency wallets, making it difficult to recover criminal funds. Therefore, this study acquires artifacts from the data and memory area of a local PC based on user behavior from four browser extension wallets (Metamask, Binance, Phantom, and Kaikas) to track and retrieve cryptocurrencies used in crime, and analyzes how to use them from a digital forensics perspective. As a result of the analysis, the type of wallet and cryptocurrency used by the suspect was confirmed through the API name obtained from the browser's cache data, and the URL and wallet address used for the remittance transaction were obtained. We also identified Client IDs that could identify devices used in cookie data, and confirmed that mnemonic code could be obtained from memory. Additionally, we propose an algorithm to measure the persistence of obtainable mnemonic code and automate acquisition.

• Journal of Science and Technology Studies
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• v.18 no.3
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• pp.217-255
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• 2018

Bitcoin, which appeared in 2008, was merely a conceptual virtual currency, but it now enjoys the status as actual money. Bitcoin is an electronic money system that can be traded directly without a central trust institution. Thanks to the popularization of Bitcoin, blockchain technology has become a widespread concern. That technology is expanding not only the currency mechanism, but also a variety of other services. The possibility of a blockchain in relation to actual currency is ongoing. This paper investigates the technological characteristics and social construction of the blockchain by comparing the cases of Bitcoin, Namecoin, and MediBloc among blockchain applications. Namecoin emerged in 2013 is an attempt to replace the centralized Internet Domain Name System(DNS). There has been controversy over that current system for a long time, but replacing the already established system is not easy. Nevertheless, Namecoin has potential as an alternative. Meanwhile, MediBloc is an application that involves distributed management of medical data in South Korea. MediBloc claims that the key producers of medical data are patients themselves. This is to challenge to the question who is a knowledge producer of medical data. Through these three cases, it has discussed that blockchain technology does supports to form more democratic decision-making or simply provide a technical solution as automation. As a citizen, we can intervene in the realization of blockchains by presenting social agenda. This will be a method of the social construction of technology.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.1
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• pp.249-264
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• 2001

This paper describes the results of a cost-effectiveness analysis on the usage of foreign scientific and technical journals. In this study, the measure of cost-effectiveness chosen is the Cost Per Use(CPU) of a journal article. The photocopy usage data and annual subscription costs of journals subscribed by Korea Institute of Science & Technology Information were used. The results of this study illustrate that distribution of subscription cost and photocopy usage, Cost Per Use(CPU) of each journal, CPU of each subject field, etc. 80 percent of the demand for the journal was met by 40 percent of total subscription cost. A relationship was found between subscription cost and photocopy usage, however, no relationship was found between subscription cost and CPU.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.167-176
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• 2024

Lip-reading is the task of inferring the speaker's utterance from silent video based on learning of lip movements. It is very challenging due to the inherent ambiguities present in the lip movement such as different characters that produce the same lip appearances. Recent advances in deep learning models such as Transformer and Temporal Convolutional Network have led to improve the performance of lip-reading. However, most previous works deal with English lip-reading which has limitations in directly applying to Korean lip-reading, and moreover, there is no a large scale Korean lip-reading dataset. In this paper, we introduce the first large-scale Korean lip-reading dataset with more than 120 k utterances collected from TV broadcasts containing news, documentary and drama. We also present a preprocessing method which uniformly extracts a facial region of interest and propose a transformer-based model based on grapheme unit for sentence-level Korean lip-reading. We demonstrate that our dataset and model are appropriate for Korean lip-reading through statistics of the dataset and experimental results.

• Journal of KIISE:Databases
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• v.37 no.6
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• pp.300-307
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• 2010

According to growth of web, data processing technology is developing. In the Web of next generation, high-speed or high-volume data processing technologies for various wire-wireless users, USN and RFID are developing too. In this paper, we propose a high-volume data processing technology using Complex Event Processing(CEP) engine. CEP is the technology to process complex events. CEP Engine is the following characteristics. First it collects a high-volume event(data). Secondly it analyses events. Finally it lets event connect to new actions. In other words, CEP engine collects, analyses, filters high-volume events. Also it extracts events using pattern-matching for registered events and new events. As the results extracted. We use it by an input event of other work, real-time response for demanded event and can trigger to database for only valid data.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.853-863
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• 2022

In order to revitalize start-ups in the beauty field, this study attempted to derive characteristic patterns of changes in demand and differences in emotions and meaning for 'beauty start-ups' by dividing the period by year from 2019 to 2021 based on exploratory data analysis (EDA). Most of the search terms related to the keyword "beauty start-up" showed more interest in institutions or certificates that can learn beauty skills than professional start-up education, which still does not recognize the importance of start-up education, and as an alternative, it is necessary to develop customized start-up education programs for each major. We establish hypotheses through exploratory data analysis and verify hypotheses by combining traditional corroborative data analysis (CDA). There has never been an exploratory data analysis method for beauty startups, and rather than mentioning the need for formal start-up education, analyzing changes in interest in beauty startups and the requirements of prospective start-ups with exploratory data will help develop customized start-up programs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.66-67
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• 2014

This study is to compare and analyze the technology competitiveness of Big Data sector through patent analysis. According to results of the analysis, the United States is the most active country on the patent activities and its applied and registered patents have multiplied in recent times. However, both CPP(Cited Per Patent) and PII(Patent Impact Index) of the US would have declined, indicating that the growth of technology in the US seems to be biased to quantitative growth of technologies. Korea has been relatively active patent activities with Japan, China and Canada, whereas it has tended to be biased to quantitative growth with the US; Therefore, Korea government needs to concentrate efforts to retain the high quality technologies.