• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.620-626
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• 2007

The main objective of this study is to analyze setback patterns of the super-highrise residential buildings in respect to the formal variations of the floor plans. Along with the illumination of the definition of setback, the early part of the paper attempts to establish criteria for the analysis of the setback cases. The research of 38 setback floor plans as well as the typical floor plans of 17 super-highrise buildings carried out through analysis criterions under three categories; physical features, primary causes, and formal types of setback. The result shows a method of evaluating setbacks and setback's potentials in designing the super-highrise buildings for the variation of building form, size, and type.

• Journal of the Korea institute for structural maintenance and inspection
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• v.13 no.3 s.55
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• pp.164-172
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• 2009

Anchors and saddles are used to have sufficient geometrical rigidity and make target configuration of main cable of suspension bridge. Neglecting the sliding effect at saddles, points at them have been idealized as fixed nodes in lots of former studies. In general, sliding effects are reported to show significant structural behaviors of main cable and cause to the different responses of bridges. During early erection steps of the suspension bridge, especially, the sliding effect occurs easily because there is large difference of cable tension between main and side span in removing set-back ropes or not applying set-back. This study presents the finite element analysis considering to cable sliding effect and shows the comparison of differences between sliding and non-sliding at election sequence. The analysis of sliding between main cables and saddles needs to obtain more realistic responses because the analysis result can represent unfavorably different responses of bridges. Moreover, the sliding analysis method and results in this study can be used to basic criteria in engineering design and construction steps.

• KIEAE Journal
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• v.16 no.3
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• pp.89-94
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• 2016

Purpose: This study aimed at developing an artificial neural network (ANN) model to predict the optimal start moment of the setback temperature during the normal occupied period of a building. Method: For achieving this objective, three major steps were conducted: the development of an initial ANN model, optimization of the initial model, and performance tests of the optimized model. The development and performance testing of the ANN model were conducted through numerical simulation methods using transient systems simulation (TRNSYS) and matrix laboratory (MATLAB) software. Result: The results analysis in the development and test processes revealed that the indoor temperature, outdoor temperature, and temperature difference from the setback temperature presented strong relationship with the optimal start moment of the setback temperature; thus, these variables were used as input neurons in the ANN model. The optimal values for the number of hidden layers, number of hidden neurons, learning rate, and moment were found to be 4, 9, 0.6, and 0.9, respectively, and these values were applied to the optimized ANN model. The optimized model proved its prediction accuracy with the very storing statistical correlation between the predicted values from the ANN model and the simulated values in the TRNSYS model. Thus, the optimized model showed its potential to be applied in the control algorithm.

• KIEAE Journal
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• v.17 no.4
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• pp.83-88
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• 2017

Purpose: The objective of this study is to develop a predictive model for calculating the amount of cooling load for the different setback temperatures during the setback period. An artificial neural network (ANN) is applied as a predictive model. The predictive model is designed to be employed in the control algorithm, in which the amount of cooling load for the different setback temperature is compared and works as a determinant for finding the most energy-efficient optimal setback temperature. Method: Three major steps were conducted for proposing the ANN-based predictive model - i) initial model development, ii) model optimization, and iii) performance evaluation. Result:The proposed model proved its prediction accuracy with the lower coefficient of variation of the root mean square errors (CVRMSEs) of the simulated results (Mi) and the predicted results (Si) under generally accepted levels. In conclusion, the ANN model presented its applicability to the thermal control algorithm for setting up the most energy-efficient setback temperature.

• Korean Journal of Food Science and Technology
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• v.50 no.2
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• pp.138-142
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• 2018

The physical properties and heavy metal content in rices that were grown in different conditions were compared; two paddy rices grown in irrigated water and a Jeju rice grown in dry field without irrigation. The pasting properties, color, or amylopectin chain length distribution were different, however, they were independent of growing conditions. For heavy metals such as Pb or Cd, Jeju rice showed similar content to paddy rices. However, total and inorganic arsenic (As) contents were much lower; for Jeju rice, the total arsenic content was only 10.1-17.9% of that in two paddy rices, and the inorganic arsenic was just corresponding to 15% of that in paddy rice. The inorganic arsenic content decreased by 34.1, 23.8, and 17.5% in paddy rice by soaking, cooking, and dripping with hot water, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.494-494
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• 2018

최근 하천에서 홍수방지를 위한 제방과 댐 같은 구조물이 지속적으로 건설되고 있으며 이러한 구조물의 설치는 자연적인 하천의 발달과정을 느리게 하고 어류의 서식처를 감소시킨다. 특히 주기적인 홍수 및 홍수터를 필요로 하는 어류는 유량의 규제 및 홍수터의 감소로 심각한 영향을 받게 되었고, 많은 종류의 어류가 환경 및 생태계의 변화로 멸종했다. 따라서 수중생태계에서 어류의 서식환경을 보호하고 유지하기 위해서는 공간확대를 통한 적절한 서식처가 보장되어야 한다. 본 연구에서는 공간복원 시나리오에 따른 수환경 변화가 어류 물리서식처에 미치는 영향을 분석하기 위해 2차원 물리서식처 모형인 River2D를 적용하였다. 만경강 유역의 봉동, 소양, 하리 3개의 지점을 경계지점으로 하여 대상영역 내 저지대 상습 침수구역인 만경강 본류와 소양천 합류지점을 복원대상지로 선정 후, 현재하도와 세가지 복원 시나리오(제방 셋백, 구하도, 배후습지)를 적용하여 분석을 실시하였다. 이 분석에서 모니터링 된 과거 흐름과 세가지 물리적 복원 시나리오 뿐만 아니라 필요한 유량조건의 범위에 있는 목표종 성장단계는 홍수터 서식지 이점에 영향을 미친다. 분석결과 홍수터 지역의 물리적 복원을 통해 대상어종의 생태계 복원 전의 부정적인 영향을 줄일 수 있었고 특히 WUA 분석에 따르면 세가지 복원 시나리오 적용시 복원전보다 서식처 개선효과가 크게 나타나는 것을 확인할 수 있었다. 구하도 복원의 경우 WUA 값은 산란기에 20.0%, 성장기에 39.5%로 가장 큰 효과를 나타냈고, 그 결과와는 다르게 배후습지 복원의 경우 성어기에 85.3%로 가장 크게 나타났다. 또한 동일한 흐름에서 홍수터의 확보 및 복원을 통해 최소유량에서 최대서식처 개선효과를 얻을 수 있음을 확인하였다. 최종적으로 복원이 성공적으로 이루어지기 위해서는 복원계획에서 대상어종의 성장단계와 복원 시나리오를 고려해야 하고 정확하게 검토해야 하며, 생태학적 특성도 면밀히 조사되어야 할 것으로 사료된다. 또한 앞서 분석된 데이터는 최적의 하천 복원 유형을 판단하기 위한 기초자료 및 판단근거로 활용될 수 있을 것으로 기대된다.