• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권5호
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• pp.566-570
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• 2010

본 논문에서는 기존 유스케이스 점수 기법의 공수 예측 정확도 향상을 위해 유스케이스 트랜잭션을 기반으로 한 공수 예측 기법을 제안한다. 유스케이스 점수 기법은 소프트웨어 유스케이스 모델을 기반으로 하는 공수 예측 기법으로서 객체 지향 소프트웨어 개발 프로젝트에서 사용되고 있다. 그러나 유스케이스 점수는 트랜잭션의 개수를 규모 산정의 단위로 활용하여 트랜잭션 별 구현 공수의 차이를 반영할 수 없고 트랜잭션 수의 범위에 따라 유스케이스의 규모를 결정함으로써 상이한 트랜잭션 수를 갖는 유스케이스들이 공수 예측 시 동일한 크기로 반영되어 상세수준에서의 문제를 갖는다. 이런 한계점들은 부정확한 공수 예측을 야기하여 프로젝트의 성공률을 저해하는 요소가 될 수 있다. 이를 개선하기 위해 본 논문에서는 공수 예측 시 트랜잭션을 단위 연산으로 세분화하고, 각 연산에 대한 복잡도를 활용하여 규모를 산정하는 트랜잭션 점수 기법을 제안하고자 한다.

• 한국융합학회논문지
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• 제8권3호
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• pp.23-30
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• 2017

유동적인 전기 소비량과 소비자와 공급자가 실시간으로 변하는 시장 상황에 대응하기 위해 수요 반응에 기술이 있다. OpenADR은 이러한 수요 반응 서비스를 제공하는 국제적인 표준 통신 프로토콜이다. OpenADR은 어플리케이션 계층에서 페이로드라는 XML 메시지를 사용하며, 본 프로토콜이 제공하는 수요 반응 서비스는 페이로드에 논리적인 요청, 응답을 사용해 제공한다. 이를 위해, OpenADR은 트랜잭션에 식별자로 'requestID'라는 XML 엘리먼트를 정의한다. OpenADR 2.0b 프로파일 사양 문서에서 트랜잭션 식별자에 설명은 있지만, 이해하기에 충분하지 않다. 모호한 트랜잭션에 설명은 OpenADR에 VEN과 VTN 구현에 취약점을 만들고, 서로 다른 프로토콜 간 변환에 혼란을 줄 가능성이 있다. 따라서 본 논문에서는 OpenADR 2.0b에 페이로드 트랜잭션 모호성을 해결하는 정의와 페이로드 트랜잭션을 분석하는 모델을 제시하고, 본 논문에서 제시한 분석 모델을 사용해 실제 트랜잭션 취약점을 탐지하는 사례를 보인다.

• International Journal of Contents
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• 제12권1호
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• pp.60-64
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• 2016

As new applications of cloud data management system (CDMS) such as online games, cooperation edit, social network, and so on, are increasing, transaction processing capabilities for CDMS are required. Several transaction processing methods for cloud data management system (CDMS) have been proposed. However, existing transaction processing methods have some problems. Some of them provide limited transaction processing capabilities. Some of them are hard to be integrated with existing CDMSs. In this paper, we proposed a new concurrency control method to support transaction processing capability for CDMS to solve these problems. The proposed method was designed and implemented based on Spark, an in-memory distributed processing framework. It uses RDD (Resilient Distributed Dataset) model to provide fault tolerant to data in the main memory. In our proposed method, database stored in CDMS is loaded to main memory managed by Spark. The loaded data set is then transformed to RDD. In addition, we proposed a multi-version concurrency control method through immutable characteristics of RDD. Finally, we performed experiments to show the feasibility of the proposed method.

• 응용통계연구
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• 제31권2호
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• pp.217-228
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• 2018

부동산 투기근절, 공평과세 목적으로 부동산 실거래 신고제도가 도입된 이후, 정부에서 운영 중인 부동산거래관리시스템에는 연간 약 200만 건의 부동산 실거래 신고자료가 축적되고 있다. 인터넷이 발달하고 정보에 대한 접근성이 높아진 요즘, 부동산 투자에 대한 관심 증가로 부동산 가격정보에 대한 요구도 나날이 증가하고 있다. 하지만 이는 단순히 거래사례에 대한 정보만을 제공할 뿐이라 공동주택 실거래의 경우 동, 호수, 토지건물 실거래의 경우 지번을 개인정보보호 등의 이유로 공개하고 있지 않아 실거래의 위치별 정확한 데이터를 구득하기 어려운 실정이어서 정보의 비대칭성이 여전히 존재하고 이러한 부동산 정보의 특수성이 부동산시장에서의 투기가 근절되지 않는 이유 중 하나이다. 본 논문에서는 축적된 실거래 신고가격 데이터를 활용하여 실거래 미발생 지점에 대한 시세가격 추정 모형을 도출하는 것으로, 부동산 가격이 지리적 위치에 따라 결정되는 특수성을 가지는 것을 고려하여 공간구조가 반영될 수 있도록 공간회귀 모형을 통한 추정 토지 시세가격의 정확도를 살펴보았다.

• 한국컴퓨터정보학회논문지
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• 제11권5호
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• pp.175-181
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• 2006

공간 데이터베이스 호스트의 이동성은 어디서나 필요한 공간 데이터에 대한 접근을 가능하게 하지만, 시스템의 특징인 이동성과 이로 인한 네트워크의 불안정성으로 인하여 전통적인 분산 환경에서의 데이터베이스 트랜잭션 처리 방법으로는 처리하기 어려운 단점을 가지고 있다. 특히, 위치 투명성을 제공하는 분산 컴퓨팅 환경과는 달리 이동 컴퓨팅 환경은 위치 의존적인 특성을 가지므로 트랜잭션 처리에 있어서도 분산 트랜잭션에 참여하는 이동 호스트의 이동성을 반영하기 위한 새로운 모델이 요구된다. 따라서 본 논문에서는 기존 이동 트랜잭션 모델들이 고려하지 않는 이동 호스트의 이동 경로 양식인 지리적 기준으로 트랜잭션을 처리하는 Feature 기반 트랜잭션 처리 모델을 구현한다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 추계종합학술대회
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• pp.1007-1014
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• 2003

It is important to integrate an enterprise application for automating of the business profess, which is responded by a flow of market environment. There are two categories of method that integrate enterprise applications. One is Synchronous Integration, and the other is Asynchronous Integration. EAI(Enterprise Application Integration) and Web service which of the asynchronous integration is focused in the automating method of the business process. After we construct the application integration for automating of the business process, we have to concern about managing of the business transaction. Many Organizations have proposed the process method of business transaction based on 2-phase commit protocol. But this method can′t supply the phase that classify the transaction by transaction weight. In this paper, we propose an efficient method of transaction process for business transactions, which is composed by ′Classify Phase′ that classify transactions. We called this model "3-Phase Commit Method Applied by Classify Phase", we design this model to manage an resource of enterprise efficiently. The proposed method is compared by the method based on 2-Phase commit that could be a problem of management the resource of enterprise, and the advantage of this method is certified to propose the solution of that problem.

• Journal of Information Technology Applications and Management
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• 제22권2호
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• pp.149-169
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• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

• 융합경영연구
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• 제9권2호
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• pp.1-10
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• 2021

Purpose: In this work, we examine several time series models to predict internet and mobile transaction amount in South Korea, whereas Jeong (2020) has obtained the optimal forecasts for online shopping transaction amount by using time series models. Additionally, optimal forecasts based on the model considered can be calculated and applied to the Corona 19 situation. Research design, data, and methodology: The data are extracted from the online shopping trend survey of the National Statistical Office, and homogeneous and comparable in size based on 46 realizations sampled from January 2007 to October 2020. To achieve the goal of this work, both multiplicative ARIMA model and Holt-Winters Multiplicative seasonality method are taken into account. In addition, goodness-of-fit measures are used as crucial tools of the appropriate construction of forecasting model. Results: All of the optimal forecasts for the next 12 months for two online shopping transactions maintain a pattern in which the slope increases linearly and steadily with a fixed seasonal change that has been subjected to seasonal fluctuations. Conclusions: It can be confirmed that the mobile shopping transactions is much larger than the internet shopping transactions for the increase in trend and seasonality in the future.

• Journal of Korea Trade
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• 제23권6호
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• pp.113-130
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• 2019

Purpose - This paper investigates applicability of blockchain based bill of lading under the current legal environment. Legal requirements of electronic bill of lading will be analyzed based on the Rotterdam Rules and recently enacted UNCITRAL Model Law on Electronic Transferable Records. Using comparative analysis with the previous registry model for electronic bill of lading, this paper examines the advantages of blockchain based bill of lading. Design/methodology - This research reviewed previous efforts for dematerializing bill of lading with its limitation. Main features of blockchain technology which can make up for deficiencies of registry model also be investigated to analyze whether these features can satisfy the requirements for the legal validity of the negotiable electronic transport record or electronic transferable records under the Rotterdam Rules and the MLETR. Findings - Main findings of this research can be summarized as follows: Blockchain system operated in an open platform can improve transparency and scalability in transfer of electronic bill of lading by assuring easy access for transaction. Distributed ledger technology of blockchain makes it more difficult to forge or tamper with transactions because all participants equally shares identical transaction records. Consensus mechanism and timestamp in a blockchain transaction guarantee the integrity and uniqueness of a transaction. These features are enough to satisfy the requirements of electronic transferable records under the Rotterdam Rules and MLTER. Originality/value - This study has significance in that it provided implications for the introduction of electronic bill of lading by analyzing whether the blockchain based electronic bill of lading model meets the legal requirements under the current legal system prepared prior to the introduction of blockchain technology, and by presenting the advantages of the blockchain based bill of lading model through comparative analysis with the existing registry model.

• 한국의류학회지
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• 제38권6호
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• pp.913-928
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• 2014

This study estimated a dual path model to predict consumers' intention to use a QR code virtual store by the effect of a mobile transaction system and a facilitating condition that also examined the role of experience and the use of an intention model in the context of a QR code virtual store. A longitudinal field study was conducted at selected QR code virtual stores. A questionnaire containing mobile transaction system, facilitating condition, performance expectancy, effort expectance, and intention to use was administered at two different points in time: Initial use (T1) and the second use after one month (T2). This study sampled 109 subjects who voluntarily participated in field studies twice at different time points (pooled sample=218). Participants were asked to visit at the QR code virtual store and undertake shopping tasks on their smartphones. The estimated dual path model showed that a mobile transaction system had a positive effect on performance expectancy, which influenced intention to use; however, facilitating condition had a positive effect on effort expectancy, but the effort expectance did not lead to intention to use. The effort expectance significantly also affected the performance expectance influencing intention to use QR code virtual stores. It was also found that use experience moderated the effect of mobile transaction systems on performance expectancy. The findings discussed a critical and success factor in consumer technology acceptance and use over time. A managerial implication was also discussed to capture potential users by emphasizing performance expectancy with the superiority of an innovative system or consumer facilitating condition as external resources in the introduction stage of new technology.