• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.327-328
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• 2019

본 논문에서는 레일리 페이딩 채널 모델하에서 평균데이터 전송률을 최대화 할 수 있는 목표 데이터 전송률을 분석하였다. 같은 무선채널환경에서 목표 데이터 전송률이 높아질수록 오류 없이 전송될 확률은 낮아진다. 반면, 목표 데이터 전송률이 낮아지면 오류 없이 전송될 확률은 높아지지만, 한번에 보내는 데이터 양이 작아지게 된다. 따라서, 주어진 무선 채널 환경을 최대로 활용하기 위해서는 오류 전송 확률과 목표 데이터 전송률을 고려하여 최대 평균 데이터 전송률을 얻기 위한 조건에 대한 분석이 선행되어야 한다. 본 논문에서는 평균 데이터 전송률을 정의하고, 이를 최대화하기 위한 목표 데이터 전송률을 분석하였다. 분석 결과는 몬테카를로 모의 시뮬레이션을 통하여 정확성을 증명하였다.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.11 no.2
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• pp.115-131
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• 2013

The Mizunami Underground Laboratory (MIU) Project is a comprehensive research project investigating the deep underground environment within crystalline rock being conducted by Japan Atomic Energy Agency. The MIU Project has three overlapping phases: Surface-based Investigation phase (Phase I), Construction phase (Phase II), and Operation phase (Phase III), with a total duration of 20 years. The overall project goals of the MIU Project from Phase I through to Phase III are: 1) to establish techniques for investigation, analysis and assessment of the deep geological environment, and 2) to develop a range of engineering for deep underground application. For the overall project goals 1), the Phase I goals were set to construct models of the geological environment from all surface-based investigation results that describe the geological environment prior to excavation and predict excavation response. For the overall project goals 2), the Phase I goals were set to formulate detailed design concepts and a construction plan for the underground facilities. This paper introduces geosynthesis procedures for the investigation and assessment of the hydrochemistry of groundwater in crystalline rock.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.4
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• pp.337-342
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• 2016

In this paper, we studied a modified linear prediction method to estimate target signal correctly. Linear prediction method estimate direction-of-arrival to linear combination for any antenna element and other antenna elements. Modified linear prediction used optimal weight and posterior probability method. Through simulation, we are comparative analysis about the performance of proposed, bartlett and MUSIC method. From simulation, Bartlett and MUSIC method was estimation 3 targets signal, and proposed method estimated 4 targets. We showed the superior performance of the proposed algorithm relative to the classical method in order to estimate of target signals.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.2
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• pp.111-116
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• 2014

In this paper, we estimates the direction of arrival of desired a target using linear array antenna in wireless communication. Direction of arrival estimation is to estimate for desired target position among incident signals on receiver array antennas. This paper improved estimation of direction of arrival for target using optimum weight, high resolution adaptive beamforming algorithm, and sparse matrix for driection of arrival estimation. Through simulation, we showed that we are performance the analysis to compare general algorithm with proposed algorithm. We show that propose algorithm more improve for direction of estimation than general beamforming algorithm.

• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.807-810
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• 2010

본 연구는 스트레스가 지식창출에 미치는 영향을 보고자 한다. 즉, 개인의 목표에 대한 그리고 직무와 관련된 스트레스는 지식창출에 부정적 영향을 미친다는 연구들이 제시되고 있는데, 이때 팀의 어떠한 요소들이 이러한 부정적 영향을 감소시키고 지식창출에 기여할 수 있을지를 파악하고자 한다. 구체적으로 지식창출을 위해 자원에 비해 과도하게 설정된 목표로 인한 목표 스트레스(goal stress of resource inadequacy)와 지식창출을 위한 업무과정에서 발생하는 직무 스트레스(job stress)는 지식창출에 부정적 영향을 미칠 것이다. 그러나 지식창출을 위해 구성된 팀구성원들이 열심히 배우려고 하고 실패도 두려워하지 않는 분위기(팀 학습분위기) 속에서 강하게 결속되어 있다면(팀 응집력) 스트레스로 인한 지식창출에 대한 부정적 영향은 약화될 것으로 판단된다. 따라서 본 연구에서는 집단수준의 변수와 개인수준의 변수를 동시에 고려해야 하는 본 연구의 성격상 최근에 많이 사용되고 있는 다수준접근방법을 적용하여, HLM 6.08을 사용한 위계적 선형 모형분석을 수행하였다. 연구결과, 직무 스트레스는 지식창출에 부정적 영향을 미쳤으나 목표 스트레스는 유의한 영향을 미치지 않은 것으로 나타났다. 또한 팀의 학습분위기는 지식창출에 긍정적 영향을 미쳤으며, 목표 스트레스와 지식창출간의 관계에 조절효과를 하는 것으로 나타났다. 팀의 응집력 역시 지식창출에 긍정적 영향을 미치는 것으로 나타났다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.2
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• pp.140-146
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• 2015

We have studied an efficient threshold level for desired target detection in radar system in the paper. A desired target searching detection method detects desired target according to changing for false alarm probability. This time, false alarm probability is close relation to threshold level. Low threshold level can improve detection for desired target, but detect noise signal. Therefor, This method is not good one. In this paper, we propose efficient threshold level method in order to estimation for desired target. Through simulation, we are analysis and performance to compare general method with proposal method. We show that proposed method is more good proof than general method.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.251-268
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• 2024

Recently, with the implementation of the "e-Government Performance Management Guidelines," there is a growing demand for setting performance indicators for information systems. For systems that provide information services to the public, such as CODIL, it is not easy to set performance indicators. This study presented a research model that applies Monte Carlo simulation to set expected performance targets that can be achieved through CODIL based on objective evidence. Among the survey contents conducted from 2015 to 2023, the statistical characteristics of user satisfaction regarding the frequency of use of construction technology information provided by CODIL were designated as input variables. Future expected targets and confidence intervals from 2024 to 2026 were designated as outcome variables. The expected target value was measured by generating 5 simulation alternatives and 1,000 random numbers for each alternative. Next, the measured expected goals were interpreted and compared with the results of time series regression analysis measured in previous studies. Although, as in previous studies, the expected target value could not be predicted based on time series regression analysis that considers the correlation between years. However, compared to previous studies, this study can be considered a more accurate analysis result because it predicted the expected target value based on 5,000 input variables.

• 한국과학기술학회:학술대회논문집
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• 2009.06a
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• pp.73-103
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• 2009

• The Science & Technology
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• v.21 no.8 s.231
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• pp.67-70
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• 1988

• The Science & Technology
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• v.19 no.1 s.200
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• pp.18-20
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• 1986