• Korean Management Science Review
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• v.10 no.1
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• pp.41-58
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• 1993

This research analyzes the level of technological growth in Korean telecommunication industry and suggests a technology development strategy. Comparative analysis of technological growth with the advanced countries was performed based on a new technology classification scheme. Technology indices were calculated by applying Analytical Hierarchy Process(AHP). The result of the AHP was put into forecasting models to have a glimse of future growth pattern and to suggest a long-term development strategy for telecommunication technology.

• Journal of KIISE:Software and Applications
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• v.34 no.8
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• pp.689-696
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• 2007

It is important issue for software architects to estimate performance of software in the early phase of the development process due to the need to verify non-functional requirements and estimation of performance in various stages of architectural design. In order to analyze performance of software, there are many approaches to translate software architecture represented by Unified Modeling Language, into analytical models. However, in the development of agent-based systems, these approaches ignore or simplify the crucial details of the underlying performance of the agent platform. In this paper, we propose performance prediction methodology for agent based system using formal semantic descriptions, and then, we transform the descriptions into queuing network model which model reflects performance of hardware and software platform. We prove the accuracy of proposed methodology using prototype implementation. The accuracy is summarized at 80%.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.11
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• pp.932-939
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• 2000

본 논문은 정적 CMOS 회로의 단락 전류로 인한 전력소모와 게이트의 전달 지연시간을 구하기 위한 간단한 방법을 제시한다. 단락전류식은 게이트와 드레인 사이에 존재하는 커플링 커패시턴스의 영사한 후 모형화한 전류 수식을 기반으로 CMOS 회로의 지연 시간을 예측하기 위한 거시모형과 수식들을 제안하였다. 제안된 방법은 시뮬레이션을 통하여 현재의 기술 동향 특성인 신호 천이시간과 부하 커패시턴스가 감소하는 경우에 대해 이전의 연구보다 더욱 정확하고 신속히 예측할 수 있음을 보였다. 또한 제안된 거시 모형은 전류식이 변할지라도 전력소모와 타이밍 수준에서의 지연시간을 계산하는데 쉽게 적용이 가능하다.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.281-282
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• 2014

본 연구의 목적은 과학기술정보서비스에 대한 고객만족도를 기반으로 하여 충성고객을 예측할 수 있는 모델을 구축하는 것이다. 이를 위해 정보서비스를 경험한 최근 1년이내 한국가과학기술전자도서관(NDSL : National Digital Science Library)사이트를 이용한 회원을 대상을 조사를 하였으며, 조사목적은 NDSL 서비스의 추천지수 측정을 통하여 추천, 비추천 사유를 파악하기 위함이다. 조사방법은 전화조사(Telephone Interview)로 진행하고 표본 수는 500명의 의사결정자를 대상으로 측정하였다. 고객충성도는 NPS(Net Promoter Score, 순고객추천지수) 이론에 근거하여 하였다. 연구결과 고객만족도 수준에 따라 비추천고객, 추천고객을 예측할 수 있는 모델을 구축하였다. 이와 같은 연구결과는 인터넷 등 정보의 발달로 고객의 긍정적 또는 부정적인 구전이 급속도로 노출되는 환경에서 고객의 만족도를 관리함으로써 충성고객을 확보하는데 사전 예측자료로 활용될 수 있다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.113-114
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• 2019

불확실성이 큰 콘텐츠 산업의 특성상 방송 콘텐츠는 막대한 투자에 비해 그 효과 예측이 매우 어려우며 아직까지 출연진과 제작진에 대한 합리적인 평가지표도 존재하지 않는다. 방송용 드라마의 경쟁력을 평가하는 수단으로 현재까지 가장 유용한 지표는 시청률이다. 비록 스마트폰과 같은 매체를 통한 시청이 늘어남에 따라 TV 시청률의 절대 수치는 지속적으로 감소하고 있지만 TV 시청률을 대체할 만한 유용한 지표는 아직까지 없다. 본 연구에서는 방송용 드라마에 참여하는 인적자원의 평가지표와 시청률의 비교 우위를 활용하여 드라마의 흥행성을 과학적으로 예측하려고 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1038-1041
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• 2010

오늘날 대부분의 네트워크는 수십 Gb/s 를 지원하는 광네트워크다. 이러한 고속 네트워크에서 대부분 TCP 전송 프로토콜을 사용하고 있다. TCP 전송 프로토콜은 AIMD 방식의 특성으로 인해 고속 네트워크에 적합하지 않다. 반면 UDT 는 DAIMD 방식을 사용하기 때문에 고속 네트워크에서 가용대역폭을 충분히 활용 가능하다. 그러나 UDT 는 sync-interval 간격으로 rate control 이 이루어 지기 때문에 sync-interval 동안 가용 대역폭을 충분히 활용하지 못하는 문제점이 발생한다. 본 논문에서는 RTT 예측을 통한 sync-interval 구간에서의 rate control 기법을 제안한다. sync-interval 구간 동안 RTT 예측을 통해 rate control 을 함으로써 기존 UDT에 비해 고속 네트워크 환경에서 보다 빠르게 가용대역폭을 활용할 수 있다. 네트워크 시뮬레이션 결과 기존 UDT 에 비해 throughput 및 안정성이 향상되었다.

• Journal of the Korea Institute of Military Science and Technology
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• v.26 no.2
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• pp.149-158
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• 2023

To predict the aerodynamic characteristics of the grid fins from subsonic to supersonic speeds, low fidelity SW as well as CFD SW were applied. VLM(Vortex Lattice Method) and SE(Shock-Expansion) method were used at subsonic and supersonic speed domain respectively for the rapid prediction of low fidelity SW. For 2 configurations of the grid fins, the CFD computations and tests using the trisonic wind tunnel were also performed to compare the results of the grid fins. The results of low fidelity SW, CFD SW and the wind tunnel tests data were agreed well each other. Through further research on the grid fins, the effective parameters of the grid fin configurations according to the speed regime will be investigated.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1355-1369
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• 2021

This study improved the algorithm for the road ice prediction algorithm and analyzed the prediction rate when comparing actual field measurement data and algorithm prediction value. For analysis, road and weather conditions were measured in Geumdong-ri, Sinbuk-myeon, Pocheon-si. First algorithm selected previous research result algorithm. And the 4th algorithm was improved according to the actual freezing conditions and measured values. Finally, five algorithms were developed: freezing by condensation, freezing by precipitation, freezing by snow, continuous freezing, and freezing by wind speed. When forecasting using an algorithm at the Pocheon site, the freezing hit rate was improved to 93.2%. When calculating the combination ratio for the algorithm. the algorithm for freezing due to condensation and the continuation of the frozen state accounted for 95.7%.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.3
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• pp.163-171
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• 2024

Structural health monitoring for ships and offshore structures is important in various aspects. Ships and offshore structures are continuously exposed to various environmental conditions, such as waves, wind, and currents. In the event of an accident, immense economic losses, environmental pollution, and safety problems can occur, so it is necessary to detect structural damage or defects early. In this study, structural response data of multi-linked floating offshore structures under various wave load conditions was calculated by performing fluid-structure coupled analysis. Furthermore, the order reduction method with distortion base mode was applied to the structures for predicting the structural response by using the results of numerical analysis. The distortion base mode order reduction method can predict the structural response of a desired area with high accuracy, but prediction performance is affected by sensor arrangement. Optimization based on a genetic algorithm was performed to search for optimal sensor arrangement and improve the prediction performance of the distortion base mode-based reduced-order model. Consequently, a sensor arrangement that predicted the structural response with an error of about 84.0% less than the initial sensor arrangement was derived based on the root mean squared error, which is a prediction performance evaluation index. The computational cost was reduced by about 8 times compared to evaluating the prediction performance of reduced-order models for a total of 43,758 sensor arrangement combinations. and the expected performance was overturned to approximately 84.0% based on sensor placement, including the largest square root error.

• Journal of the Korea Institute of Military Science and Technology
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• v.26 no.3
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• pp.262-272
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• 2023

A polymer-based mechanical low-pass filter(m-LPF) for high-g accelerometers makes it possible to remove high-frequency transient noises from acceleration signals, thus ensuring repeatable and reliable measurement on high-g acceleration. We establish a prediction model for performance of m-LPF by combining a fundamental vibration model with the fractional derivative standard linear solid(FD SLS) model describing the storage modulus and loss modulus of polymers. Here, the FD SLS model is modified to consider the effect of m-LPF shape factor (i.e., thickness) on storage modulus and loss modulus. The prediction accuracy is verified by comparing the displacement transmissibility(or cut-off frequency) estimated using our model with that measured from 3 kinds of polymers(polysulfide rubber(PSR), silicone rubber(SR), and polydimethylsiloxane(PDMS)). Our findings will contribute a significant growth of m-LPF for high-g accelerometers.