• Advances in aircraft and spacecraft science
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• 제4권2호
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• pp.185-202
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• 2017

In a flexible airvehicle, an assessment of the structural coupling levels through analysis and experiments provides structural data for the design of notch filters which are generally utilized in the flight control system to attenuate the flexible response pickup. This is necessitated as during flight, closed loop control actuation driven with flexible response inputs could lead to stability and performance related problems. In the present work, critical parameters influencing servoelastic response have been identified. A sensitivity study has been carried out to assess the extent of influence of each parameter. A multi-parameter tuning approach has been implemented to achieve an enhanced analytical model for improved predictions of aircraft servoelastic response. To illustrate the model updation approach, initial and improved test analysis correlation of lateral servoelastic responses for a generic flexible airvehicle are presented.

• 한국전산구조공학회논문집
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• 제34권2호
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• pp.101-111
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• 2021

다중 하중 과도응답해석은 시간에 따른 작용 하중에 대한 과도응답을 확인하므로 정교한 시스템 모델링 및 조밀한 시간 간격을 가질수록 해당 시스템에 대한 동특성은 정확하게 나타내지만 이에 따른 계산 시간은 크게 증가하게 된다. 크리로프 부공간 기반 모델차 수축소법은 기계 시스템이 가지는 동적 특성과 거의 동일한 결과를 나타내면서 계산 시간을 줄일 수 있기 때문에 효율적인 과도응답해석 방법이다. 본 연구에서는 다중 하중 및 이동 하중을 가지는 수치 예제를 통하여 크리로프 부공간 모델차수축소법 기반 과도응답해석을 수행하고, 이를 통해 초기 시스템 및 축소차수 모델의 정확성 및 효율성을 비교하였다. 또한, 시스템 행렬 추출, 크리로프 부공 간의 기저 벡터로 구성되는 변환행렬 생성 및 축소차수모델 생성 그리고 이를 바탕으로 과도응답해석을 하는 절차를 수립하여 상용 유한요소 프로그램인 ANSYS Workbench ACT를 통해 과도응답해석 과정 자동화를 구현하여 그 효용성과 효율성을 보였다.

• 한국경영과학회지
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• 제32권4호
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• pp.89-99
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• 2007

In this paper, an analytic model of a sleep mode operation in the IEEE 802.16e is investigated. A mobile subscriber station(MSS) goes to sleep mode after negotiations with the base station(BS) and wakes up periodically for a short interval to check whether there is downlink traffic to it. If the arrival of traffic is notified, an MSS returns to wake mode. Otherwise, it again enters increased sleep interval which is double as the previous one. In order to consider the situation more practically, we propose the sleep mode starting threshold, during which MSS should await packets before it enters the sleep mode. By modifying the M/G/l with multiple vacations model, energy consumption ratio(ECR) and average packet response time are calculated. Our analytic model provides potential guidance in determining the optimal parameters values such as sleep mode starting threshold, minimal sleep and maximal sleep window.

• 한국과학교육학회지
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• 제22권1호
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• pp.122-131
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• 2002

본 연구는 수행 평가 방식의 중요성이 대두됨에 따라 실지로 수행형 평가 문항이 전통적인 선다형 평가문항에 비해 어떤 학생들에게 어떻게 유용한지를 분석한 연구이다. 이를 위하여 제 3차 수학 과학 성취도 국제비교 반복 연구에 사용된 선다형과 수행형 평가문항들을 내용영역별로 분석하여, 수행형의 평가문항과 선다형의 평가문항의 효율성을 비교 분석하였다. 자료분석 결과 수행형의 문항이 선다형의 문항에 비하여 학생들의 능력을 더 정확하게 추정함으로써 효율성이 높은 것으로 나타났다. 특히 환경이나 과학의 본성 영역에 비하여 지구과학, 생물, 물리와 화학 영역에서 수행형의 문항이 선다형의 문항에 비하여 학생들의 능력을 더 정확하게 추정하고 있음을 보여주었다. 또한 선다형의 문항에 비하여 적은 수의 문항으로 학생들의 능력을 추정함에도 불구하고 추정오차가 적어, 적은 수의 수행형 문항으로도 학생들의 능력을 정확하게 추정할 수 있음을 시사하고 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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• pp.173-176
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• 1996

This paper deals with the problem of designing an adaptive regulator in order to improve transient performance in time-response when the linear state-space model of the plant contains unknown parameters which vary within prescribed bounds. The whole possible parameter space is divided into some subspaces and multiple models and controllers are established from the view point that each controller gives satisfactory transient behavior for systems corresponding to each parameter subspace. Based on time-response and an associated cost function, an appropriate controller is selected on-line out of multiple controllers.

• 대한기계학회논문집A
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• 제27권3호
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• pp.381-386
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• 2003

Gradually engineering designers are determined based on computer simulations. Modeling of the computer simulation however is too expensive and time consuming in a complicate system. Thus, designers often use approximation models called metamodels, which represent approximately the relations between design and response variables. There arc general metamodels such as response surface model and kriging metamodel. Response surface model is easy to obtain and provides explicit function. but it is not suitable for highly nonlinear and large scaled problems. For complicate case, we may use kriging model that employs an interpolation scheme developed in the fields of spatial statistics and geostatistics. This class of into interpolating model has flexibility to model response data with multiple local extreme. In this study. metamodeling techniques are adopted to carry out the shape optimization of a funnel of Cathode Ray Tube. which finds the shape minimizing the local maximum principal stress Optimum designs using two metamodels are compared and proper metamodel is recommended based on this research.

• 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.

• 전기학회논문지
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• 제65권7호
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• pp.1128-1134
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• 2016

Demand response provides customer load reductions based on high market prices or system reliability conditions. One type of demand response, price-based program, induces customers to respond to changes in product rates. However, there are large-scale general and industrial customers that have difficulty changing their energy consumption patterns, even with rate changes, due to their electricity demands being commercial and industrial. This study proposes an in-house pricing model for large-scale general and industrial customers, particularly those with multiple business facilities, for self-regulating demand-side management and cost reduction. The in-house pricing model charges higher rates to customers with lower load factors by employing peak to off-peak ratios in order to reduce maximum demand at each facility. The proposed scheme has been applied to real world and its benefits are demonstrated through an example.

• Corrosion Science and Technology
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• 제19권6호
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• pp.302-309
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• 2020

This study aimed to predict the pitting corrosion characteristics of AL-6XN super-austenitic steel using multiple linear regression. The variables used in the model are degree of sensitization, temperature, and pH. Experiments were designed and cyclic polarization curve tests were conducted accordingly. The data obtained from the cyclic polarization curve tests were used as training data for the multiple linear regression model. The significance of each factor in the response (critical pitting potential, repassivation potential) was analyzed. The multiple linear regression model was validated using experimental conditions that were not included in the training data. As a result, the degree of sensitization showed a greater effect than the other variables. Multiple linear regression showed poor performance for prediction of repassivation potential. On the other hand, the model showed a considerable degree of predictive performance for critical pitting potential. The coefficient of determination (R2) was 0.7745. The possibility for pitting potential prediction was confirmed using multiple linear regression.

• Computers and Concrete
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• 제1권2호
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• pp.211-226
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• 2004

A relatively simple multiple-vertical-line-element macro model has been incorporated into a standard computer code DRAIN-2D. It was used in blind predictions of seismic response of cantilever RC walls subjected to a series of consequent earthquakes on a shaking table. The model was able to predict predominantly flexural response with relative success. It was able to predict the stiffness and the strength of the pre-cracked specimen and time-history response of the highly nonlinear wall as well as to simulate the shift of the neutral axis and corresponding varying axial force in the cantilever wall. However, failing to identify the rupture of some brittle reinforcement in the third test, the model was not able to predict post-critical, near collapse behaviour during the subsequent response to two stronger earthquakes. The analysed macro model seems to be appropriate for global analyses of complex building structures with RC structural walls subjected to moderate/strong earthquakes. However, it cannot, by definition, be used in refined research analyses monitoring local behaviour in the post critical region.