• 방송공학회논문지
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• 제19권2호
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• pp.268-271
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• 2014

소스 부호 왜곡 모델 및 채널 유도 왜곡 모델 기반의 기존의 FEC 부호율 결정 기법들은 일반적으로 높은 계산 복잡도와 구현 비용을 요구하는 모델 파라메터 트레이닝 과정을 요구한다. 본 논문에서는 복잡한 모델링 과정을 피하기 위해서 최적의 FEC 부호율 결정을 위한 채널 손실 한계집합을 추정하기 위한 정확한 소스-채널 결합 왜곡 모델을 제안한다.

• 산업기술연구
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• 제28권A호
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• pp.155-161
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• 2008

Muscle force prediction in forward dynamic analysis of human motion depends many muscle parameters associated with muscle actuation. This research studies the effects of various parameters of Hill type muscle model using the simple hand raising motion. Motion analysis is carried out using motion capture system, and each muscle force is recorded for comparison with muscle model generated muscle force. Using Hill type muscle model, muscle force for generating the same hand rasing motion was setup adjusting 5 activation parameters. The test showed the importance of activation parameters on the accurate generation of muscle force.

• Industrial Engineering and Management Systems
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• 제16권1호
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• pp.118-128
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• 2017

Uncertain factors in finical markets make the prediction of future returns and risk of asset much difficult. In this paper, a model,assuming the admissible errors on expected returns and risks of assets, assisted in the multiperiod mean variance portfolio selection problem is built. The model considers transaction costs, upper bound on borrowing risk-free asset constraints, cardinality constraints and threshold constraints. Cardinality constraints limit the number of assets to be held in an efficient portfolio. At the same time, threshold constraints limit the amount of capital to be invested in each stock and prevent very small investments in any stock. Because of these limitations, the proposed model is a mix integer dynamic optimization problem with path dependence. The forward dynamic programming method is designed to obtain the optimal portfolio strategy. Finally, to evaluate the model, our result of a meaning example is compared to the terminal wealth under different constraints.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.212-212
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• 2000

This study was performed to construct a hot strip speed measuring system and check over whether the measured speed can be used for improving the mass flow of the head-end part of a hot strip in the 7-stand finishing mill. Because the mass flow in hot rolling mill affects the looper operation and the thickness and width control of a strip, accurate measurement of strip speed ie important. The measured speed was compared with the roll speeds of No. 6 and No.7 stand to check the performance of the system and analyzed to find how to apply the speed. As a result, it is shown that the accuracy of the system is enough, strip thickness error can be reduced by -275∼+200$\mu\textrm{m}$ using the measured speed and the existing FSU model has low accuracy for predicting forward slip rate. A neural network was developed to calculate forward slip rate instead of FSU model. The test result of the neural network shows that the neural network is more accurate than the FSU model.

• Nuclear Engineering and Technology
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• 제43권6호
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• pp.523-530
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• 2011

In a previous study, the stochastic space-dependent kinetics model (SSKM) based on the forward stochastic model in stochastic kinetics theory and the Ito stochastic differential equations was proposed for treating monoenergetic space-time nuclear reactor kinetics in one dimension. The SSKM was tested against analog Monte Carlo calculations, however, for exemplary cases of homogeneous slab reactors with only one delayed-neutron precursor group. In this paper, the SSKM is improved and evaluated with more realistic and complicated cases regarding several delayed-neutron precursor groups and heterogeneous slab reactors in which the extraneous source or reactivity can be introduced locally. Furthermore, the source level and the initial conditions will also be adjusted to investigate the trends in the variances of the neutron population and fission product levels across the reactor. The results indicate that the improved SSKM is in good agreement with the Monte Carlo method and show how the variances in population dynamics can be controlled.

• 한국정밀공학회지
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• 제25권5호
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• pp.155-163
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• 2008

This study investigated biomechanical response through the 3-dimensional virtual skeletal model developed and validated. Ten male subjects in standing posture were exposed to whole body vibrations and measured acceleration on anatomical of interest (head, $7^{th}$ cervical, $10^{th}$ thoracic, $4^{th}$ lumbar, knee joint and bottom of the vibrator). Three dimensional virtual skeletal model and vibration machine were created by using BRG LifeMOD and MSC.ADAMS. The results of forward dynamic analysis were compared with results of experiment. The results showed that the accuracy of developed model was $73.2{\pm}19.2%$ for all conditions.

• 한국항공우주학회지
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• 제41권4호
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• pp.261-267
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• 2013

본 논문에서는 헬리콥터 전진비행 조건에서 플래핑모션에 대하여 축소 로터 실험을 통하여 실험결과와 이론적인 예측결과를 비교하였다. 축소로터 성능 실험은 충남대학교 아음속 풍동에서 수행하였으며 1.8 x 1.8m의 개방형 시험부를 사용하였다. 전진비행조건에서의 실험 결과에 의하면 축소로터의 전진비행조건에서의 추력 결과를 고정한 조건에서 동력계수는 차이가 있는 것을 확인 할 수 있었다. 또한, 공력 성능 측정 결과와 이론적인 예측결과의 비교를 통하여 헬리콥터의 플랩핑 각도의 범위에 대하여 비교하여 보았다. Coning 각도, 횡방향과 종방향에 대한 플래핑 각도에 대해서는 실험결과와 예측결과의 유사함을 확인하였다.

• 한국항공우주학회지
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• 제35권2호
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• pp.124-129
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• 2007

동 연구에서는 전진비행하는 로터의 평균 유입류 예측기법 중 Drees 선형모델, 몇가지 변형된 형태의 Mangler & Squire 모델을 서로 비교하여 각 유입류 모델의 특성을 알아내고, KARI 자체 자유후류기법 코드의 해석결과를 함께 비교하여 각 유입류 예측기법의 특성을 파악하였다. 각 예측기법의 비교를 위해 유입류 실험치가 존재하는 로터에 대하여 전진비 0.15, 0.23 및 0.30의 3가지 비행조건을 적용하여 예측한 결과를 비교 분석하였다. Drees 모델의 경우 비교적 실험치에 근접하게 예측하나, 선형모델의 한계로 인해 유입류의 비균일성을 모델링하기에는 미흡하며, Mangler & Squire 모델은 끝단을 제외하고는 비교적 실험치에 근접하게 예측함을 알 수 있었으며, KARI의 자유후류기법은 유입류의 비균일성을 매우 잘 예측하나, 동체에 의한 올려흐름 효과, 후퇴부에서의 동적실속 효과 등의 추가 고려가 필요함을 알 수 있었다.

• 대한토목학회논문집
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• 제26권5B호
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• pp.557-562
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• 2006

준설작업으로 인해 재부유된 퇴적물로 구성된 탁도플륨의 이송확산 거동을 예측하기 위해 이(1998)가 제안한 수치 해석의 혼합방법(hybrid method)을 사용하여 3차원 수치모형을 개발하였다. 본 모형에서는 이송 및 확산식의 수치해석에 있어 이송 과정은 전방입자추적기법(forward particle-tracking method), 확산 과정은 유한차분기법을 사용하여 수치계산에 있어 무작위 행보(random walk) 방법에 비해 계산시간이 크게 단축되었으며, 수치모의 결과의 정확성도 크게 향상되었다. 본 모형을 검증하기 위하여 1, 2차원 해석해와의 비교, 그리고 Kuo 등(1985)의 3차원 수리해석모형의 계산결과와 비교하였다. 본 모형의 검증 결과는 비교적 해석해와 잘 일치하였다.

• 산업공학
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• 제17권spc호
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• pp.141-151
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• 2004

As today's business environment has become more and more competitive, forward as well as backward flows of products among members belonging to a supply chain have been increased. The backward flows of products, which are common in most industries, result from increasing amount of products that are returned, recalled, or need to be repaired. Effective management for the backward flows of products has become an important issue for businesses because of opportunities for simultaneously enhancing profitability and customer satisfaction from returned products. Since third party logistics service providers (3PLs) are playing an important role in reverse logistics operations, they should perform two simultaneous logistics operations for a number of different clients who want to improve their logistics operations for both forward and reverse flows. In this case, distribution networks have been independently designed with respect to either forward or backward flows so far. This paper proposes a mixed integer programming model for the design of network integrating both forward and reverse logistics. Since the network design problem belongs to a class of NP-hard problems, we present an efficient heuristic algorithm based on genetic algorithm (GA), of which the performance is compared to the lower bound by Lagrangian relaxation. Finally, the validity of proposed algorithm is tested using numerical examples.