• Journal of the Korean Data and Information Science Society
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• 제18권3호
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• pp.745-755
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• 2007

The concept of slope rotatability introduced by Hader and Park(1978) is available when we are interested in the difference of the responses. Since there can be constraints on the factor levels in mixture experiments, there arises a need for adaptation of the concept of slope rotatability and the measure to assess it. In this article, measures of slope rotatability in mixture experiments are proposed to quantify the amount of slope rotatability for a given design. Measures for a restricted region design as well as for an unrestricted region design are presented. Then, the designs having different optimalities are compared with respect to these measures by some examples.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제3권5호
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• pp.548-574
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• 2009

Personal information (hereinafter referred to as "PI") infringement has recently emerged as a serious social problem in Korea. PI infringement in the public and private sector is common. There were 182,666 cases of PI in 2,624 public organizations during the last three years. Online infringement cases have increased. PI leakage causes moral and economic damage and is an impediment to public confidence in public organizations seeking to manage e-government and maintain open and aboveboard administration. Thus, it is an important matter. Most cases of PI leakage result from unsatisfactory management of security, errors in home page design and insufficient system protection management. Protection management, such as encryption or management of access logs should be reinforced urgently. However, it is difficult to comprehend the scope of practical technology management satisfied legislation and regulations. Substantial protective countermeasures, such as access control, certification, log management and encryption need to be established. It is hard to deal with the massive leakage of PI and its security management. Therefore, in this study, we analyzed the conditions for the technical protection measures during the processing phase of PI. In addition, we classified the standard control items of protective measures suited to public circumstances. Therefore, this study provides a standard and checklist by which staff in public organizations can protect PI via technical management activities appropriate to laws and ordinances. In addition, this can lead to more detailed and clearer instructions on how to carry out technical protection measures and to evaluate the current status.

• 스마트미디어저널
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• 제4권4호
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• pp.70-79
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• 2015

건설사업정보시스템은 국토교통부에서 건설사업정보화(CALS)의 일환으로 구축된 정보시스템으로 건설사업 전 업무단계의 디지털화, 정보 공유 등을 통해 건설사업의 생산성과 효율성 향상 및 투명행정을 실현하는데 목적을 두고 있다. 건설사업정보시스템은 국토부 내부 업무시스템 중 하나로 업무처리 위주의 기능과 데이터 관리에 중점을 두고 구축되어 운영 중에 있다. 하지만 구축된 지 10년 이상 경과된 정보시스템으로 주로 텍스트 및 문서위주의 건설사업정보로 이루어지고, 시각화 된 공간정보(Geographic Information System, 이하 GIS)와 결합되지 못해 정보 공유 및 전달과 전체적인 현황 파악에 한계를 가진다. 본 연구는 기존 건설사업정보시스템의 한계 및 문제점을 해결하고 시스템을 보다 고도화를 위한 방안으로 국내외 GIS 기술동향 및 관련 정보시스템을 살펴보고, 건설사업정보시스템의 현황 및 문제점을 분석하였다. 이를 통해 건설사업정보시스템의 고도화를 위한 전체적인 GIS 적용방안을 제시하였다. 또한 건설사업정보 단위시스템별 세부 활용 및 적용방안을 도출하고 향후 GIS 적용에 따른 고려사항을 분석하여 제시하였다.

• 지능정보연구
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• 제26권3호
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• pp.37-50
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• 2020

사물 인터넷, 빅데이터, 클라우드, 인공지능 등 다양한 정보통신기술이 발전하면서, 정보보호의 대상이 증가하고있다. 정보통신기술의 발전에 비례해서 정보보호의 필요성이 확대되고 있지만, 정보보호 투자에 대한 관심은 저조한 상황이다. 일반적으로 정보보호와 관련된 투자는 효과를 측정하기 어렵기 때문에 적절한 투자가 이루어지지 않고 있으며, 대부분의 조직은 투자 규모를 줄이고 있다. 또한 정보보호 대책의 종류와 특성이 다양하기 때문에 객관적인 비교와 평가가 힘들고, 객관적인 의사결정 방법이 부족한 실정이다. 하지만 조직의 발전을 위해서는 정보보호와 관련된 정책과 의사결정이 필수적이며 적정 수준의 투자와 이에 대한 투자 효과를 측정 할 필요가 있다. 이에 본 연구에서는 게임 이론을 이용하여 정보보호 대책 투자 포트폴리오를 구성하는 방법을 제안하고 선형계획법을 이용하여 최적 방어 확률을 도출한다. 2인 게임 모형을 이용하여 정보보호 담당자와 공격자를 게임의 경기자로 구성한 뒤, 정보보호 대책을 정보보호 담당자의 전략으로, 정보보호 위협을 공격자의 전략으로 각각 설정한다. 게임 모형은 경기자의 보수의 합이 0인 제로섬 게임을 가정하고, 여러개의 전략 사이에서 일정한 확률 분포에 따라 전략을 선택하는 혼합 전략 게임의 해를 도출한다. 여러 종류의 위협이 존재하는 현실에서는 한 개의 정보보호 대책만으로 일정 수준 이상의 방어가 힘들기 때문에, 다수의 정보보호 대책을 고려해야한다. 따라서 다수의 정보보호 위협에 따른 정보보호 대책이 배치된 환경에서 정보보호 대책의 방어 비율을 이용하여 정보보호 대책 투자 포트폴리오를 산출한다. 또한 최적화된 포트폴리오를 이용하여 방어 확률을 최대화하는 게임 값을 도출한다. 마지막으로 정보보호 대책의 실제 성능 데이터를 이용하여 수치 예제를 구성하고, 제안한 게임 모델을 적용하고 평가한다. 본 연구에서 제시한 최적화 모델을 이용하면 조직의 정보보호 담당자는 정보보호 대책의 방어 비율을 고려하여 정보보호 대책의 투자 가중치를 구할 수 있고, 효과적인 투자 포트폴리오를 구성하여 최적의 방어 확률을 도출 할 수 있을 것이다.

• 유통과학연구
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• 제17권2호
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• pp.5-11
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• 2019

Purpose - This paper examines how corporate social responsibility of the Korean retail industry affects the degree of asymmetric information. Recent theories predict that a firm's active engagement in socially responsible activities lowers the degree of asymmetric information of the firm. Research design, data, and methodology - This paper uses the sum of environmental and social scores (ES), published by the Korean Corporate Governance Service in order to proxy the degree of socially responsible management practices of Korean retail firms. This paper uses the ordinary least square method to investigate the above predictions. The publicly traded Korea retail firms listed in the Korean Exchange are analyzed from 2011 to 2016. To measure the degree of asymmetric information, this paper adopts the analyst dispersion and price impact measures. Results - This paper shows that the ES score has significantly positive relationships with these two measures of information asymmetry. The environmental score seems to increase the analyst dispersion measure and the social score appears to raise the price impact measure mores significantly. Conclusions - The results do not support the prior theory expecting a negative relationship between corporate social responsibility and the degree of asymmetric information. Environmental and social scores are found to affect the measures of information asymmetry differently.

• 한국IT서비스학회지
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• 제22권3호
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• pp.29-47
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• 2023

With the recent advancement of information and communication technologies such as artificial intelligence, big data, cloud computing, and 5G, data is being produced and digitized in unprecedented amounts. As a result, data has emerged as a critical resource for the future economy, and overseas countries have been revising laws for data protection and utilization. In Korea, the 'Data 3 Act' was revised in 2020 to introduce institutional measures that classify personal information, pseudonymized information, and anonymous information for research, statistics, and preservation of public records. Among them, it is expected to increase the added value of data by combining pseudonymized personal information, and to this end, "the Expert Data Combination Agency" and "the Expert Data Agency" (hereinafter referred to as the Expert Data Processing Agency) system were introduced. In comparison to these domestic systems, we would like to analyze similar overseas systems, and it was recently confirmed that the Vermont government in the United States enacted the first "Data Broker Act" in the United States as a measure to protect personal information held by data brokers. In this study, we aim to compare and analyze the roles and functions of the "Expert Data Processing Agency" and "Data Broker," and to identify differences in designated standards, security measures, etc., in order to present ways to contribute to the activation of the data economy and enhance information protection.

• Journal of Information Technology Applications and Management
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• 제16권2호
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• pp.99-120
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• 2009

The relationship between the performance measures and the acceptance of evaluation has been of importance not only in the academic field but in the business area. However, there had not been many studies on the factors which affect the goal core, that is, specificity and difficulty. The previous literature on the evaluation of measures has limitations in that the common and unique measures without suggesting the concept of shared measures are used. Thus, the purpose of this study is to examine the effects of the environmental characteristics of the goal setting on the result and acceptance of the evaluation, which is mediated by the characteristics of the goal core. This study further tests if there are any moderating effects from using the shared measures of performance.

• 환경영향평가
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• 제21권1호
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• pp.209-218
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• 2012

In this study, suitable types and measures of Wildlife Crossing Structures (WCS) for mammals of Korea were analyzed to suggest basic information for design guidelines of WCS. In order to find the types and measures, we conducted field surveys on 79 WCS and literature reviews on 159 WCS. The results of our study were as follows; Small-medium sized carnivores usually use all measures of wildlife underpass, meanwhile large sized herbivores as water deer need lager measures than 0.7 Openness Index(OI). Furthermore, we found that wildlife overpasses were usually used at the measure of 6.8 m width by every mammal. Therefore, we concluded that the proper measures should be lager than 0.7 OI for underpass and 7 m width for overpass.

• 대한수학회논문집
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• 제36권2호
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• pp.327-342
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• 2021

We consider a generalization of the L^q-spectrum with respect to two Borel probability measures on ℝⁿ having the same compact support, and also study their behavior under orthogonal projections of measures onto an m-dimensional subspace. In particular, we try to improve the main result of Bahroun and Bhouri [4]. In addition, we are interested in studying the behavior of the generalized lower and upper L^q-spectrum with respect to two measures on "sliced" measures in an (n - m)-dimensional linear subspace. The results in this article establish relations with the L^q-spectrum with respect to two Borel probability measures and its projections and generalize some well-known results.

• Asia pacific journal of information systems
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• 제18권2호
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• pp.95-114
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• 2008

Recent interests in data mining result from the expansion of the amount of business data and the growing business needs for extracting valuable knowledge from the data and then utilizing it for decision making process. In particular, recent advances in association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from the voluminous transactional data. Certainly, one of the major purposes of association rule mining is to utilize acquired knowledge in providing marketing strategies such as cross-selling, sales promotion, and shelf-space allocation. In spite of the potential applicability of association rule mining, unfortunately, it is not often the case that the marketing mix acquired from data mining leads to the realized profit. The main difficulty of mining-based profit realization can be found in the fact that tremendous numbers of patterns are discovered by the association rule mining. Due to the many patterns, data mining experts should perform additional mining of the results of initial mining in order to extract only actionable and profitable knowledge, which exhausts much time and costs. In the literature, a number of interestingness measures have been devised for estimating discovered patterns. Most of the measures can be directly calculated from what is known as a contingency table, which summarizes the sales frequencies of exclusive items or itemsets. A contingency table can provide brief insights into the relationship between two or more itemsets of concern. However, it is important to note that some useful information concerning sales transactions may be lost when a contingency table is constructed. For instance, information regarding the size of each market basket(i.e., the number of items in each transaction) cannot be described in a contingency table. It is natural that a larger basket has a tendency to consist of more sales patterns. Therefore, if two itemsets are sold together in a very large basket, it can be expected that the basket contains two or more patterns and that the two itemsets belong to mutually different patterns. Therefore, we should classify frequent itemset into two categories, inter-pattern co-occurrence and intra-pattern co-occurrence, and investigate the effect of the market basket size on the two categories. This notion implies that any interestingness measures for association rules should consider not only the total frequency of target itemsets but also the size of each basket. There have been many attempts on analyzing various interestingness measures in the literature. Most of them have conducted qualitative comparison among various measures. The studies proposed desirable properties of interestingness measures and then surveyed how many properties are obeyed by each measure. However, relatively few attentions have been made on evaluating how well the patterns discovered by each measure are regarded to be valuable in the real world. In this paper, attempts are made to propose two notions regarding association rule measures. First, a quantitative criterion for estimating accuracy of association rule measures is presented. According to this criterion, a measure can be considered to be accurate if it assigns high scores to meaningful patterns that actually exist and low scores to arbitrary patterns that co-occur by coincidence. Next, complementary measures are presented to improve the accuracy of traditional association rule measures. By adopting the factor of market basket size, the devised measures attempt to discriminate the co-occurrence of itemsets in a small basket from another co-occurrence in a large basket. Intensive computer simulations under various workloads were performed in order to analyze the accuracy of various interestingness measures including traditional measures and the proposed measures.