• Annual Conference of KIPS
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• 2021.11a
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• pp.316-319
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• 2021

블록체인은 블록체인 네트워크에 참여하는 모든 노드에 동일한 원장을 중복 저장함으로써 참여자 모두에게 데이터가 공개되며, 이를 통해 데이터의 투명성을 확보하고 참여자 다수의 합의를 통해 데이터의 신뢰성을 보장하는 기술이다. 현재의 블록체인 시스템은 이러한 데이터 소유의 탈중앙화를 통해 데이터의 신뢰성을 확보할 수 있게 되었으나, 합의, 저장, 분석 등 여러 방면에서 확장성 한계로 인해 주로 가상 자산의 거래에만 활용되고 있다. 본 논문은 다양한 일반 산업 및 비즈니스에서의 블록체인 기술의 활용성을 증대하기 위해 요구되는 데이터의 다양성, 대규모 용량, 대용량 데이터, 트랜잭션 처리 속도 등 저장 확장성 문제를 해결하기 위한 고확장성 블록체인 저장 기술을 제안하고 설계 개념 및 특징, 그리고 고확장성 저장 기술을 제공하기 위한 시스템 SW 구조를 제시한다.

• Annual Conference of KIPS
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• 2008.11a
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• pp.1481-1484
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• 2008

대부분의 온라인 전자거래업체는 사용자의 신원을 확인하기 위해 주민등록번호를 요구하고 있다. 그러나 최근 발생하고 있는 대규모 개인정보 유출사고 등으로 주민등록번호가 노출되는 사례가 빈번하며, 주민등록정보를 타인이 도용하여도 효과적으로 확인 및 제어하는 수단이 없다는 문제가 있다. 이러한 문제를 해결하기 위해 주민번호대체수단이 제안되었으나, 최근 공공 i-PIN 과 민간 i-PIN 으로 구분되는 기술들의 연동 문제로 인해 적극적인 도입이 우려되는 상황이다. 따라서 본 논문은 최소한의 수정으로 이들 주민번호대체수단이 연동할 수 있는 방안을 제시한다. 기존의 민간 i-PIN 연동 프로토콜을 공공 i-PIN 에 적용하며 프로토콜 간의 연동 모듈을 두어 각 프로토콜을 처리한다. 제안된 기술은 공공 i-PIN 에 적용되어 현재 전국적으로 구축 중이다.

• Annual Conference of KIPS
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• 2023.11a
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• pp.922-923
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• 2023

인터넷에는 많은 이미지 데이터가 존재하지만, 대규모 이미지를 효과적으로 수집하는 것은 어려운 실정이다. 본 논문은 GAN을 통해 사용자가 지정한 개수만큼 원하는 이미지를 생성하는 웹 플랫폼을 제안한다. 기존의 단일 이미지다운, 크롤링, 웹 스크래핑을 통한 이미지 데이터 수집 방법보다 다량 이미지 데이터를 안전하게 수집할 수 있을 것으로 기대된다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.75-78
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• 2024

민간, 공공을 막론하고 디지털 혁신이 필수인 현재 데이터의 중요성은 갈수록 높아지고 있다. 그간 정부의 대규모 지원사업과 민간의 자체 투자로 공급 측면의 데이터는 상당량 축적되어 있으나 막상 수요자가 필요한 데이터를 적시에 구해서 활용할 수 있는 기반은 여전히 미흡한 수준이다. 본 연구에서는 민간-공공을 거쳐 데이터의 유통과 거래를 활성화하고, 수요자와 공급자의 참여를 확대할 수 있는 국가 차원의 통합 데이터 인프라를 제안하고 그 기능적 요구사항과 추진 방향을 제시한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.4
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• pp.97-109
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• 2014

The purpose of this study is, as to verify the effect of IR announcements, the IR activity to look at the usefulness. In previous study, they found that the IR announcement leads to reductions in information asymmetry, effect to positive stock price. This study examine the abnormal returns between group by corporate characteristics. The data used in this study are daily stock market returns taken from the KOSDAQ listed company with IR announcements during the 2005-2012 year(8 year). We find that follows. First, the capital market is accepted IR activity as the positive information. Second, abnormal returns of small company is higher than big size that. We show the difference of abnormal returns between the venture company and general company, the venture company's high. The abnormal returns of corporate with high ownership is above the group of low ownership. Additionally, consider interaction by firm characteristics, we show the interaction between firm size and business type. The result of two-way ANOVA is that venture corporate with big size are more abnormal returns than others. Also, we demonstrate that firm location is the factor of difference on information effect in venture firm.

• Journal of Distribution Science
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• v.8 no.1
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• pp.21-33
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• 2010

The ICT(information & communication technology) led to a dramatic change of floral distribution service, a phase of competition between wholesales and retail stores, and distribution channels in floral industry. It was expected that a role of the intermediaries in this industry would have reduced due to the improvement of transaction process by ICT. However, the ICT made to overcome a regional limit of the floral retail distribution service leading to an increase in sales and enlargement of the stores. And even it made possible to bring out another type of intermediaries such as private associations. This case study focuses on what kinds of efforts the floral wholesale distributors have made to enable a distribution process more smoothly between the wholesale distributors and retail stores through the information system, and what the failure factors in adopting the information system have been. This paper is also to examine how the wholesale distributors have changed themselves to gain dominant positions in distribution channels. As a result of the study, it was found that the intermediaries mostly failed in successfully achieving the distribution channel innovation through the information system because of several main reasons. FLOMARKET Inc. tried to innovate a distribution channel to obtain high quality goods through consolidating a wholesale distribution market in that segregated both floral joint market from free markets. after implementing the information system with consideration of the failure factors, FLOMARKET Inc. was able to minimize goods in stock and make a major purchase of various goods. In addition, it made a possible pre-ordering process and an exact calculation of purchasing goods so they could provide their products with market price in real time, which helped for the company to gain credits from their customers. Also, FLOMARKET Inc. established the information system which well suited to its business stage in order to deal with a rapidly changing distribution environment. It's so obvious that the transaction processing system of FLOMARKET Inc. definitely helped to share information among traders more seamlessly and smoothly in realtime, standardize goods, and make a transaction process clearer. Besides, the transaction information helped the wholesale distributors and retail stores to make more strategic decisions in their business because through the system they enabled to gather the marketing intelligence information more easily and convenient. If we understand that the floral distribution market is characterized by the low IT- based industry, it's worth to examine a case study proving that the information system actually increases the productivity of the transaction process in the floral industry.

• Korean Business Review
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• v.20 no.2
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• pp.105-118
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• 2007

Recommender system is the tool for E-commerce company based on the internet for increasing their sales ratio in the market. Recommender system suggests the list of items which night be wanted by customers. This list generated by the result of customers' preference prediction through the prediction algorithm automatically. Recommender system will be able to offer not only the important information for marketing strategy but also reduce the cost of customers' information retrieval trough the analysis of customers' purchase patterns and features. But there are several problems like as the extension of the users and items scales and if the recommendation to customers generated by unreliable recommender system makes the customer royalty to the system to weaken. In this study, we propose the criterion for pre-evaluation on the prediction performance only using the preference ratings on the items which are rated by customers before prediction process and we study the features of customers who are classified through this classification criterion.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.103-119
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• 2008

Over the last two decades, national R&D projects have been increased rapidly. The government has tried to improve the success of national R&D projects. But the weakness of the evaluation process for national R&D projects, there remains some problems. In order to solve those problems this study proposed an advanced evaluation process of national R&D projects on the basis of ISO/IEC15288, ISO/IEC12207 and ISO/IEC14598. The evaluation process consists of preparing evaluation, establishing evaluation requirements, specifying evaluation, designing evaluation, executing evaluation and reporting evaluation. The evaluation process is an artifact-oriented process. The results of this study can be used for reforming the evaluation process of national R&D projects.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.159-175
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• 2013

Recently, as real-time availability of e-commerce data becomes possible, the requirement of real-time analysis of e-commerce increases significantly. In the real-time analysis of e-commerce data, it is very important to efficiently process continuous join queries between an e-commerce data stream and disk-based large relations. In this paper, we propose an efficient method for processing a continuous join query between an e-commerce data stream and multiple disk-based relations. The proposed method improves the service rate significantly, while reducing the amount of required memory substantially. Through analysis and various experiments, we show the efficiency of the proposed method compared with the previous one in terms of service rate and memory usage.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.81-96
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• 2016

This paper analyzes the impact of information breach on shareholder value by measuring the stock price reaction associated with the announcements of data breach. The breach firms in the sample lost, on average, 1.3% of their market value, amounting to 98.9 million won of loss within two-day of the event period after the announcement. We examine the abnormal returns in various categories (i.e., source, type, size, etc.) of information breach. Although the market does not react significantly to the announcements of outside breach, we find statistically significant market reactions to inside breach. We estimate abnormal returns over the following 60 days. The mean 60-day cumulative abnormal return and BHAR (buy-and-hold abnormal returns) are both significantly far from zero. We conclude that there is a coherent market reaction following the announcement. The difference between the market reactions to IT firms and Non-IT firms is statistically significant. But breach amount, firm size, and the year the breach occurred do not show to be significant variables.