• 제목/요약/키워드: Management Response

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정량적 침해사고 관리를 위한 Security Ticket 기반의 CERT/CC 설계 및 관리 (Design and Control of Security Ticket Based CERT/CC System for Quantified Incident Management)

  • 김선태;박대우;전문석
    • 한국컴퓨터정보학회논문지
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    • 제12권4호
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    • pp.239-248
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    • 2007
  • 최근까지의 침해사고 대응에 대한 연구는 국제적 침해사고대응팀(CERT/CC)과 국가 또는 대형기관의 침해사고대응팀(CERT)의 유형을 중심으로 연구되어 일반기업 환경에 적용하기에는 어려움이 있었다. 본 논문에서는 일반기업의 IT 운영환경에 적합한 침해사고 대응절차를 수립하고, 침해사고 관리의 위협요소, 공격요소, 대응요소를 분석하여 Security Ticket을 기반으로 하는 침해사고 관리시스템의 설계 및 관리방안을 연구하였다. 이 방안을 토대로 침해사고 대응실험을 실시하여 제안한 CERT 모델의 유효성과 정량적 침해사고 관리방안의 효과를 확인하였다. 본 연구결과를 통해 일반기업에서는 CERT를 조직하여 체계적으로 관리함으로써 기업의 정보자산을 안전하게 보호할 수 있으며, 이미 CERT를 운영하는 조직에서는 침해사고 대응결과를 계량적으로 측정 분석하여 문제점을 개선함으로써 기업의 정보보호 수준을 높일 수 있다.

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정량적 침해사고 관리를 위한 Security Ticket 기반의 침해사고 관리시스템(CERT) 설계 및 관리방안 연구 (A Study and Design on security ticket based CERT system for quantified incident management)

  • 김선태;전문석;박대우
    • 한국컴퓨터정보학회지
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    • 제15권1호
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    • pp.141-150
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    • 2007
  • 최근까지의 침해사고 대응에 대한 연구는 국제적 침해사고대응팀(CERT/CC)과 국가 또는 대형기관의 침해사고대응팀(CERT)의 유형을 중심으로 연구되어 일반기업 환경에 적용하기에는 어려움이 있었다. 본 논문에서는 일반기업의 IT 운영환경에 적합한 침해사고 대응절차를 수립하고, 침해사고 관리의 위협요소, 공격요소, 대응요소를 분석하여 Security Ticket을 기반으로 하는 침해사고 관리시스템의 설계 및 관리방안을 연구하였다. 이 방안을 토대로 침해사고 대응실험을 실시하여 제안한 CERT 모델의 유효성과 정량적 침해사고 관리방안의 효과를 확인하였다. 본 연구결과를 통해 일반기업에서는 CERT를 조직하여 체계적으로 관리함으로써 기업의 정보자산을 안전하게 보호할 수 있으며, 이미 CERT를 운영하는 조직에서는 침해사고 대응결과를 계량적으로 측정 분석하여 문제점을 개선함으로써 기업의 정보보호 수준을 높일 수 있다.

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A Stock Pre-positioning Model to Maximize the Total Expected Relief Demand of Disaster Areas

  • Lee, Woon-Seek;Kim, Byung Soo;Opit, Prudensy Febreine
    • Industrial Engineering and Management Systems
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    • 제13권3호
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    • pp.297-303
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    • 2014
  • Stock pre-positioning is one of the most important decisions for preparing the stage of emergency logistics planning. In this paper, a mixed integer model for stock pre-positioning is derived to support an emergency disaster relief response against the event of earthquake. A maximum response time limit, budget availability, multiple item types, and capacity restrictions are considered. In the model, the decision of the distribution centers to cover a disaster area and the amount of supplies to be stocked in each distribution center are simultaneously determined to maximize the total expected relief demand of the disaster areas covered by the existing distribution centers. The proposed model is applied to a real case with 33 disaster areas and 16 distribution centers in Indonesia. Several sensitivity analyses are conducted to estimate the fluctuation on the emergency stock pre-positioning planning by changing the maximum response time and budgets.

Desirability Function Modeling for Dual Response Surface Approach to Robust Design

  • Kwon, You Jin;Kim, Young Jin;Cha, Myung Soo
    • Industrial Engineering and Management Systems
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    • 제7권3호
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    • pp.197-203
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    • 2008
  • Many quality engineering practitioners continue to have a considerable interest in implementing the concept of response surface methodology to real situations. Recently, dual response surface approach is extensively studied and recognized as a powerful tool for robust design. However, existing methods do not consider the information provided by customers and design engineers. In this regard, this article proposes a flexible optimization model that incorporates that information via desirability function modeling. The optimization scheme and its modeling flexibility are demonstrated through an illustrative example by comparing the proposed model with existing ones.

Demand Response Program의 동향 분석 (Survey for the Trend of Demand Response Program)

  • 김형중;손학식;김인수;임상국;박종배;신중린
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 A
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    • pp.671-673
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    • 2004
  • Demand Response Programs (DRP) are critical to the operation of efficient and competitive energy markets. and provide critical market improvements to Independent System Operators (ISO). To all energy market Participants, they Provide savings and cost reductions when end users have the ability to respond to wholesale prices. Now, in the competitive electricity market, DRP is classified by Emergency and Economic DRP to reduce costs and maintain reliability. In this paper, we survey the trend of Demand Response Program over the world and compare the practical performance among the markets in US.

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스트레스반응의 생 행동적 접근 (Stress response: Physiological and Behavioral Aspects)

  • 김금순
    • Perspectives in Nursing Science
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    • 제2권1호
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    • pp.61-75
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    • 2005
  • Physical and psychological events can produce stress response in various degrees. Stress affects many aspects of physiology including both brain and peripheral elements which is represented as hypothalamus-pituitary-adrenal axis. Brain elements consist of corticotropin-releasing hormone(CRH), locus ceruleus(LC)-norepinephrine(NE)/autonomic system. Peripheral elements include pituitary-adrenal axis and the autonomic nervous system, which coordinate the stress response. Current trend of the stress researches is emphasizing the mechanisms of the stress response which is adaptive or become maladaptive. This review introduces 1) the concepts of stress, 2) physiological and behavioral aspects of stress responses, 3) the consequences of stress response, 4) the measurements of stress and 5) stress management for those interested in stress research.

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Designs for Improving Mean Response

  • Park, Joong-Yang;Suh, Euy-Hoon;Ahn, Sung-Jin
    • 품질경영학회지
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    • 제23권3호
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    • pp.102-112
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    • 1995
  • Estimation of each of mean response, difference between mean responses and derivatives of the response function is a possible objective of a response surface design. These objectives are to be achieved simultaneously when an experiment is designed to improve mean response. For the situations where departure from the assumed model is suspected, first and second order designs for improving mean response are obtained by combining minimum bias designs for the individual design objectives. D- and A-optimalities are used for selecting specific second order designs. The results are applied to central composite designs.

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직무스트레스 반응이 상해와 질병에 미치는 효과 및 사회적 지원의 조절효과에 관한 연구: 강원지역을 중심으로 (A study of the moderating effect of social support on the relationship between job stress responses and occupational accident/illness)

  • 안관영
    • 대한안전경영과학회지
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    • 제10권4호
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    • pp.57-63
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    • 2008
  • The purpose of this paper is to review the moderating effect of social support on the relationship between job stress responses(physiological response, psychological response, behavioral response) and occupational accidents/illness. Based on the responses from 187 employees in small & medium manufacturing industry, hierarchical regressional analysis showed that physiological response has positive relationship with accidents and illness, and psychological response has positive relationship with accident. Social support has partly moderating effect on the relationship between job stress responses and occupational accidents/illness.

직무스트레스 반응이 상해와 질병에 미치는 효과 및 사회적지원의 조절효과에 관한 연구 (The relationship between job stress responses and occupational accident/illness, and the moderating effect of social support)

  • 안관영
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2008년도 추계학술대회
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    • pp.317-327
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    • 2008
  • The purpose of this paper is to review the relationship between job stress responses(physiological response, psychological response, behavioral response) and occupational accidents/illness, and the moderating effect of social support. Based on the responses from 187 employees in small & medium manufacturing industry, hierarchical regressional analysis showed that physiological response has positive relationship with accidents and illness, and psychological response has positive relationship with accident. Social support has partly moderating effect on the relationship between job stress responses and occupational accidents/illness.

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쌍대반응표면최적화를 위한 사후선호도반영법: TOPSIS를 활용한 최고선호해 선택 (A Posterior Preference Articulation Method to Dual-Response Surface Optimization: Selection of the Most Preferred Solution Using TOPSIS)

  • 정인준
    • 지식경영연구
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    • 제19권2호
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    • pp.151-162
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    • 2018
  • Response surface methodology (RSM) is one of popular tools to support a systematic improvement of quality of design in the product and process development stages. It consists of statistical modeling and optimization tools. RSM can be viewed as a knowledge management tool in that it systemizes knowledge about a manufacturing process through a big data analysis on products and processes. The conventional RSM aims to optimize the mean of a response, whereas dual-response surface optimization (DRSO), a special case of RSM, considers not only the mean of a response but also its variability or standard deviation for optimization. Recently, a posterior preference articulation approach receives attention in the DRSO literature. The posterior approach first seeks all (or most) of the nondominated solutions with no articulation of a decision maker (DM)'s preference. The DM then selects the best one from the set of nondominated solutions a posteriori. This method has a strength that the DM can understand the trade-off between the mean and standard deviation well by looking around the nondominated solutions. A posterior method has been proposed for DRSO. It employs an interval selection strategy for the selection step. This strategy has a limitation increasing inefficiency and complexity due to too many iterations when handling a great number (e.g., thousands ~ tens of thousands) of nondominated solutions. In this paper, a TOPSIS-based method is proposed to support a simple and efficient selection of the most preferred solution. The proposed method is illustrated through a typical DRSO problem and compared with the existing posterior method.