• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.25-32
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• 2022

DID(Decentralized Identity Identification) is a system in which users voluntarily manage their identity, etc., and control the scope and subject of submission of identity information based on a block chain. In the era of the 4th industrial revolution, where the importance of protecting personal information is increasing day by day, DID will surely be positioned as the industrial center of the Internet and e-business. However, when managing personal information, DID is highly likely to cause a large amount of personal information leakage due to electronic infringement, such as hacking and invasion of privacy caused by the concentration of user's identity information on global service users. Therefore, there are a number of challenges to be solved before DID settles into a stable standardization. Therefore, in this paper, we try to examine what problems exist in order to positively apply the development of DID technology, and analyze the improvement plan to become a stable service in the future.

• Annual Conference of KIPS
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• 2021.11a
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• pp.355-358
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• 2021

개인의 신원정보 보호에 대한 중요성이 높아지면서 개인이 직접 자신의 신원정보를 관리하고 데이터의 주권을 신원정보 소유자에게 부여하는 자기주권 신원 시스템에 대한 관심이 높아지고 있다. 자기주권 신원 시스템 내에서 개인은 스스로 자신을 식별할 수 있는 분산 식별자(DID: decentralized identifier)를 생성하고 분산 식별자 별 개인의 자격을 증명해주는 자격증명(VC: verifiable credentials) 정보를 발급받아 개인이 보유하며 자격증명의 검증을 요구하는 검증자에게 선택적으로 자격증명 정보를 제시한다. 개인의 프라이버시를 보호하기 위해 개인의 자격증명을 제시할 때 신원정보의 실제 데이터는 감추고 자격증명의 유효성은 입증시키는 영지식 증명의 개념을 적용하고 있다. 본 논문에서는 영지식 증명 기술을 살펴보고 하이퍼레저 인디(Hyperledger Indy) 기반 자기주권 신원 시스템에서 영지식 증명 기술 도입 예를 보인다.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.4
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• pp.453-485
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• 2017

One of the oldest chestnuts in economic geography is this: Cultural and creative industries strongly gather in large cities and this geographic concentration of economic activities leads to regional development. Of course, depending on the circumstances, such a proposition still holds good. But, under the current paradigm shift to knowledge-based economy, it may be open to question. This study aims to investigate financing and knowledge accumulation in the film industry through an alternative framework for explaining their spatial distributions, "formation mechanism of economic space." From the fact that their production organizations are formed on a project basis, project-based financing structure in the investment stage and knowledge accumulation process in the production stage form both axes of it. Film industry as the most mature industry among the cultural and creative industries does not always concentrate in a certain place (industrial agglomeration) or show metropolis-oriented preference. This allows us to reconsider our long brooding theory.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.1-17
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• 2016

This paper attempts to explore the spatial structure of inventor networks and their determinants among 230 shi-gun-gu regions in Korea by investigating the residence of co-inventors engaged in Korean patent applications to the Korean Intellectual Office and exploiting a zero inflated negative binomial model to accommodate an estimation to the count nature of a dependent variable and its excess of zeros. Several variables are found to affect the spatial linkage of inventor networks. Spatial links extend beyond the region if it has more own R&D-related specific assets (private R&D, patent productivity, population, education); if it is physically close to and has technological similarity with the other region. The assets of the other region plays a positive role if, in a similar way, the other region has more R&D-related specific assets.

• Convergence Security Journal
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• v.20 no.2
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• pp.123-135
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• 2020

Since AlphaGo's Match in 2016, there has been a growing calls for artificial intelligence applications in various industries, and research related to it has been actively conducted. The same is true in the military field, and since there has been no weapon system with artificial intelligence so far, effort to implement it are posing a challenge. Meanwhile, AlphaGo Zero, which beat AlphaGo, showed that artificial intelligence's self-training data-based approach can lead to better results than the knowledge-based approach by humans. Taking this point into consideration, this paper proposes to apply Reinforcement Learning, which is the basis of AlphaGo Zero, to the Shipboard Combat System or Combat Management System. This is how an artificial intelligence application to the Shipboard Combat System or Combat Management System that allows the optimal tactical assist with a constant win rate to be recommended to the user, that is, the commanding officer and operation personnel. To this end, the definition of the combat performance of the system, the design plan for the Shipboard Combat System, the mapping with the real system, and the training system are presented to smoothly apply the current operations.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.10-19
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• 2003

Caption information in news videos can be useful for video indexing and retrieval since it usually suggests or implies the contents of the video very well. In this paper, a new algorithm for extracting and recognizing characters from news video is proposed, without a priori knowledge such as font type, color, size of character. In the process of text region extraction, in order to improve the recognition rate for videos with complex background at low resolution, continuous frames with identical text regions are automatically detected to compose an average frame. The image of the averaged frame is projected to horizontal and vertical direction, and we apply region filling to remove backgrounds to produce the character. Then, K-means color clustering is applied to remove remaining backgrounds to produce the final text image. In the process of character recognition, simple features such as white run and zero-one transition from the center, are extracted from unknown characters. These feature are compared with the pre-composed character feature set to recognize the characters. Experimental results tested on various news videos show that the proposed method is superior in terms of caption extraction ability and character recognition rate.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.350-360
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• 2021

Due to COVID-19 and minimum wage raise, rate of adoption of zero contact payment methods, such as kiosk, had increased rapidly in 2018. Although there exist users who have trouble utilizing it, kiosk is growing consistently, especially in food service industry. Main goal of this research is to verify antecedent of satisfaction level which affects continuance intention of kiosk in terms of quality and execute through examination of kiosk users on fast-food industry, which employs kiosk most predominantly. The result of this research showed that information accessibility (environment quality), convenience of order process (process quality), and addition of beneficial supplementary service (process quality) of kiosk had influence on customer satisfaction level which in turn, also affected continuance intention, but order payment readiness, which is consequence quality, had no effect on satisfaction level. With pervasion and indispensable increase in zero contact payment market, this research expanded our knowledge on kiosk user and established kiosk quality figure that can improve user satisfaction level and continuance intention, ultimately proposing selection guide of kiosk and securing competitiveness for stores.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.481-492
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• 2023

This study explores how to build a Korean dataset to extract information from text using generative large language models. In modern society, mixed information circulates rapidly, and effectively categorizing and extracting it is crucial to the decision-making process. However, there is still a lack of Korean datasets for training. To overcome this, this study attempts to extract information using text-based zero-shot learning using a generative large language model to build a purposeful Korean dataset. In this study, the language model is instructed to output the desired result through prompt engineering in the form of "system"-"instruction"-"source input"-"output format", and the dataset is built by utilizing the in-context learning characteristics of the language model through input sentences. We validate our approach by comparing the generated dataset with the existing benchmark dataset, and achieve 25.47% higher performance compared to the KLUE-RoBERTa-large model for the relation information extraction task. The results of this study are expected to contribute to AI research by showing the feasibility of extracting knowledge elements from Korean text. Furthermore, this methodology can be utilized for various fields and purposes, and has potential for building various Korean datasets.

• Knowledge Management Research
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• v.5 no.1
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• pp.39-56
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• 2004

Mergers and Acquisitions(M&A) have long played an important role in the growth of firm. M&A has been considered a effective strategy for Korean government to restructure industry. Previous studies provided mixed results on the synergy effect of M&A This study provides investigation on 39 mergers occurred over the sample period from 2000 to 2001. In this study, event study methodology arc used to calculate abnormal return(AR) and cumulative abnormal return(CAR) based on mean-adjusted model. The testing period of this study from date -30 through date +30, where date zero is the date of the first public announcement of the merger. The empirical results in this study can be summarized as follows. First, the return rates of KOSDAQ registered firms with M&A appears higher than that of KSE listed firms. This means that public announcement of M&A is more influential on stock price for KOSDAQ registered firms than KSE listed firms. Second, The difference between actual merging price and fair value is significant in KSE listed firms and KOSDAQ registered firms. This means that the investors take M&A of KOSDAQ registered firms as a good news. Third, the impact on the market prices of merging firms take place after the first public announcement of the merger in KSE registered firms. But the impact on the market prices take place not only merging firms but also merged firms in KOSDAQ registered firms. This result shows that the investors recognize a M&A is a strategy of technology transfer in small & venture business.

• Research in Mathematical Education
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• v.22 no.4
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• pp.261-282
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• 2019

The research related to testing pupils' achievement in the field of Measurement and Measure in initial teaching of geometry points to an insufficient adoption of the basic components of the length measurement concept among pupils. In order to discover the cause, we looked at the basic components on which the procedure of measuring length using a ruler is based, highlighted the possibilities of introducing the procedure in measuring length, and determined pupils' achievement during the procedure of measuring length using a ruler. The research sample consisted of 145 pupils, out of which 72 were the 2^nd grade pupils and 73 were the 4^th grade pupils. A descriptive method was applied in the research. The technique we used was testing, and for the statistical data processing we used a χ² test. The results of the research show that, when drawing a straight line of a given length using a ruler, there is no statistical difference in achievement between the 2^nd and 4^th grade pupils, nor in the pupils' knowledge regarding drawing a ruler independently, while drawing a straight line of a given length using a "broken" ruler 4^th grade pupils are statistically better. The results of the research indicate that pupils' achievement is better in doing standard tasks than in non-standard ones, given that the latter require conceptual knowledge. The components of the concept of length measurement using ruler have not been sufficiently developed yet, and these include: zero-point, partitioning a measured object in a series of consecutive measurement units and their iteration. We shed more light on the critical stage in the procedure of length measurement - the transition from non-standard to standard units and the formation of the length measurement scale. For further research, we propose to look at the formation of the concept of length measurement using the ruler through all its components and their inclusion in the mathematics curriculum, as well as examining the correlation of pupils' achievement in the procedure of measuring length with their achievement in measuring area (and volume).