• Journal of Ship and Ocean Technology
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• 제8권2호
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• pp.41-60
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• 2004

Ship design process requires lots of complicated analyses for determining a large number of design variables. Due to its complexity, the process is divided into several tractable designs or analysis problems. The interdependent relationship requires repetitive works. This paper employs collaborative optimization (CO), one of the multidisciplinary design optimization (MDO) techniques, for treating such complex relationship. CO guarantees disciplinary autonomy while maintaining interdisciplinary compatibility due to its bi-level optimization structure. However, the considerably increased computational time and the slow convergence have been reported as its drawbacks. This paper proposes the use of an approximation model in place of the disciplinary optimization in the system-level optimization. Neural network classification is employed as a classifier to determine whether a design point is feasible or not. Kriging is also combined with the classification to make up for the weakness that the classification cannot estimate the degree of infeasibility. For the purpose of enhancing the accuracy of a predicted optimum and reducing the required number of disciplinary optimizations, an approximation management framework is also employed in the system-level optimization.

• Computers and Concrete
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• 제16권6호
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• pp.825-846
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• 2015

In this study, shear tests on steel fiber reinforced-prestressed concrete (SFR-PSC) members were conducted with test parameters of the concrete compressive strength, the volume fraction of steel fibers, and the level of effective prestress. The SFR-PSC members showed higher shear strengths and stiffness after diagonal cracking compared to the conventional prestressed concrete (PSC) members without steel fibers. In addition, their shear deformational behavior was measured using the image-based non-contact displacement measurement system, which was then compared to the results of nonlinear finite element analyses (NLFEA). In the NLFEA proposed in this study, a bi-axial tensile behavior model, which can reflect the tensile behavior of the steel fiber-reinforced concrete (SFRC) in a simple manner, was introduced into the smeared crack truss model. The NLFEA model proposed in this study provided a good estimation of shear behavior of the SFRPSC members, such as the stiffness, strengths, and failure modes, reflecting the effect of the key influential factors.

• Journal of Information Processing Systems
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• 제7권1호
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• pp.187-198
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• 2011

User authentication refers to user identification based on something a user knows, something a user has, something a user is or something the user does; it can also take place based on a combination of two or more of such factors. With the increasingly diverse risks in online environments, user authentication methods are also becoming more diversified. This research analyzes user authentication methods being used in various online environments, such as web portals, electronic transactions, financial services and e-government, to identify the characteristics and issues of such authentication methods in order to present a user authentication level system model suitable for different online services. The results of our method are confirmed through a risk assessment and we verify its safety using the testing method presented in OWASP and NIST SP800-63.

• 한국측량학회지
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• 제35권1호
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• pp.55-62
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• 2017

The SRP (Solar Radiation Pressure) model has always been an issue in the dynamic GPS (Global Positioning System) orbit determination. The widely used CODE (Center for Orbit Determination in Europe) model and its variants have nine parameters to estimate the solar radiation pressure from the Sun and to absorb the remaining forces. However, these parameters show a very high correlation with each other and, therefore, only several of them are estimated at most of the IGS (International GNSS Service) analysis centers. In this study, we attempted to numerically verify the correlation between the parameters. For this purpose, a bi-directional, multi-step numerical integrator was developed. The correlation between the SRP parameters was analyzed in terms of post-fit residuals of the orbit. The integrated orbit was fitted to the IGS final orbit as external observations. On top of the parametric analysis of the SRP parameters, we also verified the capabilities of orbit prediction at later time epochs. As a secondary criterion for orbit quality, the positional discontinuity of the daily arcs was also analyzed. The resulting post-fit RMSE (Root-Mean-Squared Error) shows a level of 4.8 mm on average and there is no significant difference between block types. Since the once-per-revolution parameters in the Y-axis are highly correlated with those in the B-axis, the periodic terms in the D- and Y-axis are constrained to zero in order to resolve the correlations. The 6-hr predicted orbit based on the previous day yields about 3 cm or less compared to the IGS final orbit for a week, and reaches up to 6 cm for 24 hours (except for one day). The mean positional discontinuity at the boundary of two 1-day arcs is on the level of 1.4 cm for all non-eclipsing satellites. The developed orbit integrator shows a high performance in statistics of RMSE and positional discontinuity, as well as the separations of the dynamic parameters. In further research, additional verification of the reference frame for the estimated orbit using SLR is necessary to confirm the consistency of the orbit frames.

• Steel and Composite Structures
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• 제48권5호
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• pp.547-564
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• 2023

This study investigates the effect of bolt preloading on the rotational stiffness of stainless steel end-plate connections. An experimental programme incorporating 11 full-scale joint specimens are carried out comparing the behaviours of fully pre-tensioned (PT) and snug-tightened (ST) flush/extended end-plate connections, made of austenitic or lean duplex stainless steels. It is observed from the tests that the presence of bolt preloading leads to a significant increase in the rotational stiffness. A parallel finite element analysis (FEA) validated against the test results demonstrates that the geometric imperfection of end-plate has a strong influence on the moment-rotation response of preloaded end-plate connections, which is crucial to explain the observed "two-stage" behaviour of these connections. Based on the data obtained from the tests and FE parametric study, the performance of the Eurocode 3 predictive model is evaluated, which exhibits a significant deviation in predicting the rotational stiffness of stainless steel end-plate connections. A modified bi-linear model, which incorporates three key properties, is therefore proposed to enable a better prediction. Finally, the effect of bolt preloading is demonstrated at the system (structure) level considering the serviceability of semi-continuous stainless steel beams with end-plate connections.

• 한국심리학회지:학교
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• 제17권1호
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• pp.17-38
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• 2020

본 연구에서는 국내 학령기 아동을 대상으로 아동·청소년행동평가척도 조절곤란프로파일(Child Behavior Checklist Dysregulation Profile; CBCL-DP)의 요인구조를 조사하고, CBCL-DP특성을 보이는 집단(임상군)과 그렇지 않은 집단(정상군)간 부적응 및 문제행동 수준에 차이가 있는지 확인하고자 하였다. CBCL-DP의 가장 적합한 요인구조를 확인하기 위해 선행연구에서 제시한 3가지 경쟁모형에서 확인적 요인분석을 실시하였으며, 그 결과 단일요인모형(One-factor)과 2차요인모형(Second order)보다 Bifactor모형이 가장 좋은 적합도를 보였다. 가장 적합한 요인구조의 타당성을 확인하기 위해 관련 변인들과의 회귀경로를 계산한 결과 Bifactor모형에서 CBCL-DP는 부모가 보고한 집행기능곤란과 담임교사가 보고한 학교적응 및 강점난점의 모든 하위요인들과 관련되어 있었으며, 불안/우울, 공격행동, 주의집중문제의 3가지 요인들은 차별화된 연관성을 보였다. CBCL-DP의 특성을 나타내는 집단의 부적응 및 문제행동 수준을 CBCL-DP 특성을 보이지 않는 정상군과 비교한 결과, CBCL-DP 특성을 보이는 아동은 정상군 아동보다 집행기능 곤란 정도가 더 높았으며, 학교생활 적응을 잘 하지 못하고 바람직한 행동을 할 가능성이 낮은 것으로 나타났다. 결과적으로 CBCL-DP는 특정 증후군(AAA)보다 여러 가지 다양한 측면에서 부정적 결과와 관련이 있었으며, 선행연구들의 요인구조와 본 연구 표본이 부합하고 있다는 점은 광범위한 조절곤란 증후군으로 CBCL-DP를 개념화하는데 일관되고 통합적인 연구결과를 제시했음을 시사한다. 또한 CBCL-DP는 정서·행동문제가 결합된 고위험군 아동을 조기발견하고 중재함에 있어 학교 및 상담 장면에서 심층적이고 전문적인 진단도구로서 유용하게 사용될 수 있을 것으로 기대된다. 이러한 연구결과를 바탕으로 본 연구의 의의, 한계점 및 향후 연구 방향에 대해 논의하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권6호
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• pp.2795-2798
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• 2012

Objective: This study is conducted to evaluate the effects of anti-HER-2${\times}$anti-CD3 bi-specific antibodies(BsAb) on HER-2/neuover-expressing human colorectal carcinoma cells. Methods: Growth was assessed by MTT assays after exposure of HCT-116 cells to Herceptin, anti-CD3 and BsAb antibodies. Immunocytochemistry was applied to test the HER-2 level of HCT-116. In a nude mouse model, HER-2${\times}$CD3 BsAb was combined with effector cells (peripheral blood lymph cells from normal human being) for observations on in Vivo growth of tumors. Results: Compared with the control group, using effector cells combined with anti-CD3 McAb, Herceptin or HER2${\times}$CD3 BsAb, tumor cell growth in vitro and in vivo was significantly inhibited (P<0.05), most remarkably in the HER2${\times}$CD3 BsAb case. The growth of xenografts with HER2${\times}$CD3 BsAb combined with effector cells was also significantly inhibited when compared with the anti-CD3 McAb or Herceptin groups (P<0.05). Conclusion: HER-2/neu might be a useful target for immunotherapy in colorectal carcinoma, anti-HER2${\times}$anti-CD3 BsAb exerting clear anti-tumor effects.

• 지능정보연구
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• 제26권3호
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• pp.109-125
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• 2020

군(軍)에서 방위력개선사업(이하 방위사업)은 매우 투명하고 효율적으로 이루어져야 함에도, 방위사업 관련 법 및 규정의 과도한 다양화로 많은 실무자들이 원활한 방위사업 추진에 어려움을 겪고 있다. 한편, 방위사업 관련 실무자들이 각종 문서에서 다루는 법령 문장은 문장 내에서 표현 하나만 잘못되더라도 심각한 문제를 유발하는 특징을 가지고 있으나, 이를 실시간으로 바로잡기 위한 문장 비교 시스템 구축에 대한 노력은 미미했다. 따라서 본 논문에서는 Siamese Network 기반의 자연어 처리(NLP) 분야 인공 신경망 모델을 이용하여 군(軍)의 방위사업 관련 문서에서 등장할 가능성이 높은 문장과 이와 관련된 법령 조항의 유사도를 비교하여 위법 위험 여부를 판단·분류하고, 그 결과를 사용자에게 인지시켜 주는 '군(軍) 보고서 등장 문장과 관련 법령 간 비교 시스템' 구축 방안을 제안하려고 한다. 직접 제작한 데이터 셋인 모(母)문장(실제 법령에 등장하는 문장)과 자(子)문장(모(母)문장에서 파생시킨 변형 문장) 3,442쌍을 사용하여 다양한 인공 신경망 모델(Bi-LSTM, Self-Attention, D_Bi-LSTM)을 학습시켰으며 1 : 1 문장 유사도 비교 실험을 통해 성능 평가를 수행한 결과, 상당히 높은 정확도로 자(子)문장의 모(母)문장 대비 위법 위험 여부를 분류할 수 있었다. 또한, 모델 학습에 사용한 자(子)문장 데이터는 법령 문장을 일정 규칙에 따라 변형한 형태이기 때문에 모(母)·자(子)문장 데이터만으로 학습시킨 모델이 실제 군(軍) 보고서에 등장하는 문장을 효과적으로 분류한다고 판단하기에는 제한된다는 단점을 보완하기 위해, 실제 군(軍) 보고서에 등장하는 형태에 보다 더 가깝고 모(母)문장과 연관된 새로운 문장 120문장을 추가로 작성하여 모델의 성능을 평가해본 결과, 모(母)·자(子)문장 데이터만으로 학습시킨 모델로도 일정 수준 이상의 성능을 확인 할 수 있었다. 결과적으로 본 연구를 통해 방위사업 관련 군(軍) 보고서에서 등장하는 여러 특정 문장들이 각각 어느 관련 법령의 어느 조항과 가장 유사한지 살펴보고, 해당 조항과의 유사도 비교를 통해 위법 위험 여부를 판단하는 '실시간 군(軍) 문서와 관련 법령 간 자동화 비교 시스템'의 구축 가능성을 확인할 수 있었다.

• 대한인간공학회지
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• 제36권2호
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• pp.87-108
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• 2017

Objective: The purpose of this study was to precede the acceptance study based on automation steps and user experience that was lacked in the past study on the core technology of autonomous vehicle, ADAS. The first objective was to construct the acceptance model of ADAS technology that is the core technology, and draw factors that affect behavioral intention through user experience-based evaluation by applying driving simulator. The second one was to see the change of factors on automation step of autonomous vehicle through the UX/UA score. Background: The number of vehicles with the introduction of ADAS is increasing, and it caused change of interaction between vehicle and driver as automation is being developed on the particular drive factor. For this reason, it is becoming important to study the technology acceptance on how driver can actively accept giving up some parts of automated drive operation and handing over the authority to vehicle. Method: We organized the study model and items through literature investigation and the scenario according to the 4 stages of automation of autonomous vehicle, and preceded acceptance assessment using driving simulator. Total 68 men and woman were participated in this experiment. Results: We drew results of Performance Expectancy (PE), Social Influence (SI), Perceived Safety (PS), Anxiety (AX), Trust (T) and Affective Satisfaction (AS) as the factors that affect Behavioral Intention (BI). Also the drawn factors shows that UX/UA score has a significant difference statistically according to the automation steps of autonomous vehicle, and UX/UA tends to move up until the stage 2 of automation, and at stage 3 it goes down to the lowest level, and it increases a little or stays steady at stage 4. Conclusion and Application: First, we presented the acceptance model of ADAS that is the core technology of autonomous vehicle, and it could be the basis of the future acceptance study of the ADAS technology as it verifies through user experience-based assessment using driving simulator. Second, it could be helpful to the appropriate ADAS development in the future as drawing the change of factors and predicting the acceptance level according to the automation stages of autonomous vehicle through UX/UA score, and it could also grasp and avoid the problem that affect the acceptance level. It is possible to use these study results as tools to test validity of function before ADAS offering company launches the products. Also it will help to prevent the problems that could be caused when applying the autonomous vehicle technology, and to establish technology that is easily acceptable for drivers, so it will improve safety and convenience of drivers.

• 대한토목학회논문집
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• 제33권3호
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• pp.1115-1122
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• 2013

각종 교통정보에 대한 요구수준이 높아지고 있으며 그 중에서도 도시 교통관리나 이용자 측면에서 통행시간 정보는 매우 유용한 것이다. 정확성 높은 통행시간의 추정을 위해서는 신뢰성 높은 교통데이터의 수집이 필수적으로 요구된다. 버스정보시스템(BIS)은 도시 주요도로를 운행하는 시내버스를 대상으로 통행시간 정보를 실시간으로 수집 관리하고 있어 경로통행시간 추정에 매우 유용한 데이터라 할 수 있다. 그러나 기존 BIS수집데이터는 시내버스의 운행과 관련된 정보를 생성하고 안내하는 기능에만 제한적으로 사용되고 있고 다양한 분야에 활용되지 못하고 있는 실정이다. 따라서 본 연구에서는 BIS를 통해 실시간으로 수집되고 있는 데이터를 이용하여 경로통행시간을 추정하기 위한 연구를 수행하였다. 시내버스의 총 통행시간에서 버스정류장서비스시간을 제외한 통행시간을 설명변수로 경로통행시간 추정모형을 구축한 결과 결정계수($R^2$)가 모두 0.950이상이었으며 T-test를 통한 검정결과 통계적으로 유의한 것으로 분석되었다. 따라서 각 가로별로 BIS를 통해 수집되고 있는 시내버스의 통행시간데이터를 설명변수로 이용하면 실시간 경로통행시간 추정이 가능할 것으로 판단된다.