• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.397-406
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• 2011

최근 기술의 급격한 발달과 기업환경의 변화 및 자연환경의 변화로 인해 다양한 리스크 문제들이 대두되고 있고 리스크의 범주도 확대되고 있다. 리스크 관리 실패는 기업 및 국가경쟁력에 상당히 많은 영향을 미친다. 기업 및 국가에서는 리스크를 관리하기 위해 리스크경영시스템을 구축하고, 리스크를 최소화하여 리스크로 인한 손실비용을 줄이기 위해 노력하고 있다. 이에 본 논문에서는 국내외 리스크경영시스템 및 리스크 관리, 리스크 분석기법들을 조사 연구하여 리스크경영시스템 구축에 있어 필요한 기초자료들을 제시하고자 한다.

• Journal of the Korean Data and Information Science Society
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• v.21 no.2
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• pp.251-262
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• 2010

While outsourcing has become a basic strategy of the information system adoption, there is an emerging needs to analyze the gap between the required data and the existing data for the new system from an adopting company's perspective. In CRM adoption failure cases, the first reason is adopting company pay no attention to the data that will support investment and systems. So far, there is no attempt to consider data driven approach in information system adoption field. Hence, we propose Information System Adoption Model based on Data (ISAMD) and show how to use in real world by simulation. By using ISAMD, information system adoption decision maker can simulate the needed data and related cost with various information system alternatives in short term, and long term planning. ISAMD can prevent the possible threat of unexpected data cost in adopting new system at the adopting decision stage.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.1_2
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• pp.15-34
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• 2006

This paper introduces an empirical modeling technique. This technique uses a set of sample results which are collected from a few small scale simulations. Empirical models are developed by applying a couple of statistical estimation techniques to these samples. We built two types of models for cache miss rates in Symmetric Multiprocessor systems. One is for the changes of input data set size while the specification of target system is fixed. The other is for the changes of the number of processors in target system while the input data set size is fixed. To develop accurate models, we built individual model for every kind of cache misses for each shared data structure in a program. The final model is then obtained by integrating them. Besides, combined use of Least Mean Squares and Robust Estimations enhances the quality of models by minimizing the distortion due to outliers. Empirical modeling technique produces extremely accurate models without analysis on sample data. In addition, since only snail scale simulations are necessary, once a set of samples can be collected, empirical method can be adopted in any research areas. In 17 cases among 24 trials, empirical models present extremely low prediction errors below $1\%$. In the remaining cases, the accuracy is excellent, as well. The models sustain high quality even when the behavioral characteristics of programs are irregular and the number of samples are barely enough.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.191-203
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• 2018

Identify the effects of ISO quality management system on the durability of the enterprise by applying it to early startups and small - and medium-sized enterprises. In particular, the quality management system of a technology start-up small and medium sized companies is important in applying the management system to the financial, management and quality control services rather than to research and development. The quality management system is applied to the medical equipment manufacturers, mobile phone brokers, foreign Chinese companies, and components manufacturers for diesel engines.Try it. Check the case where the quality management system has been applied to the company concerned and the nonconformities have been improved. In addition, the success of the project was determined by applying the quality control system to maintain the stability and perpetuation of the company through the case of the failed selection. The company explains that recently, it must appoint internal auditors to carry out continuous improvement activities and that those who want the development and continuity of the company must reflect the quality management system.

• Korean System Dynamics Review
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• v.8 no.1
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• pp.187-209
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• 2007

This paper deals with the policy failure in housing markets. In order to understand basic mechanism leading to policy failure, systems thinking and system dynamics modeling is applied to housing markets and housing policy. This paper will show different set of causal maps on housing policy, and compare causal reasons of housing policy and its critics.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.265-267
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• 2000

본 논문은 셀룰러 이동통신 환경하에서 음성과 데이터가 통합된 통신 시스템의 트래픽 분석 방법을 제안한다. 통합된 통신 시스템에서 음성과 데이터 트래픽은 고유의 채널 영역을 갖고 있고 음성 영역에 유휴한 채널이 있을 경우 데이터 트래픽이 음성 채널을 사용할 수 있으며 음성이 발생하여 필요시 데이터 채널은 preempt 할 수 있는 시스템 제어 방식을 갖는다. 따라서, 본 논문에서는 이와 같이 가변하는 경계를 갖는 시스템의 블록킹 확률과 핸드오프 실패확률 등을 분석한다.

• Digital Contents
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• no.6 s.73
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• pp.84-89
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• 1999

대부분의 정보시스템 개발 종사자들은 대단위 관계형 데이터베이스의 정확한 개념 정립이 되어 있지 않은 상태에서 시스템 개발에 접근한다. 이것은 많은 비효율을 발생시켜 시스템 개발 생산성 및 품질의 저하를 가져오며, 시스템 수행속도를 현저히 떨어뜨린다. 특히, 관계형 데이터베이스는 활용 능력에 따라 효율의 차이가 매우 크게 나타나며, 이는 바로 프로젝트의 성공과 실패를 판가름하게 된다. 이 글에서는 관계형 데이터베이스를 보다 효율적으로 활용할 수 있는 다양한 방법과 실무에서 개발자 일량을 감소시키면서 수행속도를 향상시키는 솔루션을 제공하고자 한다.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 1992.11a
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• pp.225-236
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• 1992

본 연구에서는 정보시스템 보안을 위한 기존의 감사증적 메카니즘을 고찰, 분석하여 우리의 실정에 필요한 감사증적 모델을 설계하였다. 특히, 우리나라가 표방하는 개방형 시스템, 국가기간전산망 등의 보안측면을 고려하여 UNIX 워크스테이션 환경에 초점을 맞추었다. 설계된 모델은 시스템접근시도의 실패를 포함한 모든 보안관련 정보를 운영체제수준에서 기록하고 필요한 내용을 쉽게 조회하도록 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.115-117
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• 2003

본 논문에서는 CDMA S-ALOHA 시스템에서 공평한 패킷 전송을 위한 MAC 프로토콜을 제안한다. CDMA S-ALOHA 시스템에서 동일한 슬롯에 전송되는 패킷들은 다원접속 간섭으로 작용하며, 이는 패킷 전송 실패의 주요 요인이 된다 따라서 최대의 시스템 처리율을 얻기 위하여 동시에 전송되는 패킷의 수를 일정하게 유지시킬 필요가 있다. 제안한 기법에서는 기지국이 망의 부하에 따라 다음 슬롯의 패킷 전송 확률을 계산하여 방송하고, 단말기들은 수신한 전송 확률을 기반으로 패킷 전송을 시도한다.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.6
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• pp.306-313
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• 2005

Conditional branch prediction is an important technique for improving processor performance. Branch mispredictions, however, waste a large number of cycles, inhibit out-of-order execution, and waste electric power on mis-speculated instructions. Hence, the branch predictor with higher accuracy is necessary for good processor performance. In global-history-based predictors like gshare and GAg, many mispredictions come from commit update of the history. Some works on this subject have discussed the need for speculative update of the history and recovery mechanisms for branch mispredictions. In this paper, we present a simple mechanism for recovering the branch history after a misprediction. The proposed mechanism adds an age_counter to the original predictor and doubles the size of the branch history register. The age_counter counts the number of outstanding branches and uses it to recover the branch history register. Simulation results on the Simplescalar 3.0/PISA tool set and the SPECINTgS benchmarks show that gshare and GAg with the proposed recovery mechanism improved the average prediction accuracy by 2.14$\%$ and 9.21$\%$, respectively and the average IPC by 8.75$\%$ and 18.08$\%$, respectively over the original predictor.