• 한국해안·해양공학회논문집
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• 제33권4호
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• pp.160-167
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• 2021

단층파괴에 의한 해저지형변화는 공간적으로 시간차를 가진다. 특정 지점에서 파괴가 발생하면 이웃지점으로 단층파괴가 전파하면서 시간차에 따른 단층파괴가 발생하며, 단층파괴시 연직방향으로 상승하면서 지진해일을 야기한다. 해저 지형의 상승속도는 지진해일 초기파형에 영향을 주며 결과적으로 지진해일의 도달시간 및 크기에 영향을 준다. 본 연구에서는 단층파괴에 의한 해저 지형의 수평적 및 수직적 변화를 능동적 및 동적으로 고려하여 지진해일의 생성 및 전파를 모의할 수 있는 수치모형을 개발하였다. 모델의 검증을 위하여 2011년 동일본대지진에 대해 적용하였으며 기존의 수동적 및 정적 모형에 비해 정확성이 개선되는 것을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.503-523
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• 2022

Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. This paper proposes a web-based attendance system that adopts facial recognition using open-source deep learning pre-trained models. Face recognition procedural steps using web technology and database were explained. The methodology used the required pre-trained weight files embedded in the procedure of face recognition. The face recognition method includes two important processes: registration of face datasets and face matching. The extracted feature vectors were implemented and stored in an online database to create a more dynamic face recognition process. Finally, user testing was conducted, whereby users were asked to perform a series of biometric verification. The testing consists of facial scans from the front, right (30 - 45 degrees) and left (30 - 45 degrees). Reported face recognition results showed an accuracy of 92% with a precision of 100% and recall of 90%.

• 한국해양공학회지
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• 제36권2호
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• pp.101-107
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• 2022

Dean (1965) proposed the use of the root mean square error (RMSE) in the dynamic free surface boundary condition (DFSBC) and kinematic free-surface boundary condition (KFSBC) as an error evaluation criterion for wave theories. There are well known wave theories with RMSE more than 1%, such as Airy theory, Stokes theory, Dean's stream function theory, Fenton's theory, and trochodial theory for deep-water waves. However, none of them can be applied for deep-water breaking waves. The purpose of this study is to provide a closed-form solution for deep-water waves with RMSE less than 1% even for breaking waves. This study is based on a previous study (Shin, 2016), and all flow fields were simplified for deep-water waves. For a closed-form solution, all Fourier series coefficients and all related parameters are presented with Newton's polynomials, which were determined by curve fitting data (Shin, 2016). For verification, a wave in Miche's limit was calculated, and, the profiles, velocities, and the accelerations were compared with those of 5^th-order Stokes theory. The results give greater velocities and acceleration than 5^th-order Stokes theory, and the wavelength depends on the wave height. The results satisfy the Laplace equation, bottom boundary condition (BBC), and KFSBC, while Stokes theory satisfies only the Laplace equation and BBC. RMSE in DFSBC less than 7.25×10^-2% was obtained. The series order of the proposed method is three, but the series order of 5^th-order Stokes theory is five. Nevertheless, this study provides less RMSE than 5^th-order Stokes theory. As a result, the method is suitable for offshore structural design.

• Current Optics and Photonics
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• 제6권5호
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• pp.445-452
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• 2022

We developed an adaptive optics test bench using an optical simulator and two rotating phase plates that mimicked the atmospheric turbulence at Bohyunsan Observatory. The observatory was reported to have a Fried parameter with a mean value of 85 mm and standard deviation of 13 mm, often expressed as 85 ± 13 mm. First, we fabricated several phase plates to generate realistic atmospheric-like turbulence. Then, we selected a pair from among the fabricated phase plates to emulate the atmospheric turbulence at the site. The result was 83 ± 11 mm. To address dynamic behavior, we emulated the atmospheric disturbance produced by a wind flow of 8.3 m/s by controlling the rotational speed of the phase plates. Finally, we investigated how closely the atmospheric disturbance simulation emulated reality with an investigation of the measurements on the optical table. The verification confirmed that the simulator showed a Fried parameter of 87 ± 15 mm as designed, but a little slower wind velocity (7.5 ± 2.5 m/s) than expected. This was because of the nonlinear motion of the phase plates. In conclusion, we successfully mimicked the atmospheric disturbance of Bohyunsan Observatory with an error of less than 10% in terms of Fried parameter and wind velocity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3738-3760
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• 2022

Due to increasing spectrum demand for new wireless devices applications, cooperative spectrum sensing (CSS) paradigm is the most promising solution to alleviate the spectrum shortage problem. However, in the interweave cognitive radio (CR) system, the inherent nature of CSS opens a hole to Byzantine attack, thereby resulting in a significant drop of the CSS security and efficiency. In view of this, a weighted differential sequential single symbol (WD3S) algorithm based on MATLAB platform is developed to accurately identify malicious users (MUs) and benefit useful sensing information from their malicious reports in this paper. In order to achieve this, a dynamic Byzantine attack model is proposed to describe malicious behaviors for MUs in an interweave CR system. On the basis of this, a method of data transmission consistency verification is formulated to evaluate the global decision's correctness and update the trust value (TrV) of secondary users (SUs), thereby accurately identifying MUs. Then, we innovatively reuse malicious sensing information from MUs by the weight allocation scheme. In addition, considering a high spectrum usage of primary network, a sequential and differential reporting way based on a single symbol is also proposed in the process of the sensing information submission. Finally, under various Byzantine attack types, we provide in-depth simulations to demonstrate the efficiency and security of the proposed WD3S.

• 정보보호학회논문지
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• 제32권6호
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• pp.1069-1080
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• 2022

확인하기 전에는 어느 것도 믿지 말라는 의미의 제로 트러스트가 보안에서 핫 이슈로 떠오르고 있다. 직접 확인하고, 신뢰할 수 있는 만큼만 네트워크에 연결될 수 있도록 네트워크 경계를 설정하는 것이 제로 트러스트이다. 이러한 개념은 선 검증을 하고 해당 클라이언트에 접속 권한이 있는 만큼만 네트워크 경계를 동적 방화벽으로 만들어 주는 SDP의 개념과도 맞닿아 있다. 그래서 제로 트러스트 아키텍처에서도 제로 트러스트를 실현할 수 있는 예로 SDP 모델을 추천한다. 본 논문에서는 제로 트러스트를 위하여 SDP에서 보완하여야 할 부분을 지적하고 이를 극복하는 방안을 제시한다. 또한 SDP의 엔터티가 되기 위한 과정의 하나인 온보딩 방법을 제안하고, 제안된 온보딩 방법에서 많은 시간이 소요되는 연산의 하나인 ECDSA 성능을 측정하고, ECC 성능 최적화를 위한 구현 방법을 제시한다.

• Nuclear Engineering and Technology
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• 제55권2호
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• pp.452-459
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• 2023

The core power control is an important issue for the study of dynamic characteristics in China initiative accelerator driven subcritical system (CiADS), which has direct impact on the control strategy and safety analysis process. The CiADS is an experimental facility that is only controlled by the proton beam intensity without considering the control rods in the current engineering design stage. In order to get the optimized operation scheme with the stable and reliable features, the variation of beam intensity using the continuous and periodic control approaches has been adopted, and the change of collimator and the adjusting of duty ratio have been proposed in the power control process. Considering the neutronics and the thermal-hydraulics characteristics in CiADS, the physical model for the core power control has been established by means of the point reactor kinetics method and the lumped parameter method. Moreover, the multi-inputs single-output (MISO) logical structure for the power control process has been constructed using proportional integral derivative (PID) controller, and the meta-heuristic algorithm has been employed to obtain the global optimized parameters for the stable running mode without producing large perturbations. Finally, the verification and validation of the control method have been tested based on the reference scenarios in considering the disturbances of spallation neutron source and inlet temperature respectively, where all the numerical results reveal that the optimization method has satisfactory performance in the CiADS core power control scenarios.

• Composites Research
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• 제19권6호
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• pp.8-15
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• 2006

본 연구에서는 대형 LCD 패널 제조용 복합재 롤러에 대한 3차원 회전체 동역학 해석을 수행하였다. 전산해석은 로터시스템의 회전에 의한 자이로스코픽 영향을 고려한 일반적인 유한요소법에 근거하고 있다. 본 연구에서는 유럽의 범용 상용 유한요소해석 프로그램인 SAMCEF를 활용하였으며 이는 전문적인 로터해석 모듈을 포함하고 있다. 전산해석 기법의 검증을 위해 베어링 지지된 2중 회전축 로터 모델에 대한 해석 및 비교결과를 제시하였다. 설계된 복합재 롤러 모델에 대한 상세 유한요소 모델을 구축하였으며, 중력 효과를 고려한 전산해석을 통하여 실제 운용환경에서의 진동특성을 고찰하였다. 이의 결과로 다른 회전조건에 대한 로터 안정성 선도 및 불평형 응답에 대한 결과들을 제시하였다.

• 한국구조물진단유지관리공학회 논문집
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• 제27권6호
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• pp.162-171
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• 2023

본 연구에서는 기존 구조물의 면내 보강을 위해 콘크리트 구조물과 보강재를 쉽게 연결할 수 있는 내진 어댑터의 세부 설계 방안을 제안하였다. 제안된 내진 어댑터는 실제 크기의 절반으로 축소된 2층짜리 기둥-보 구조물에서 동적 시뮬레이션을 통해 성능을 테스트하였다. 실험 결과, 내진 어댑터를 사용하여 보강된 시험체는 보강되지 않은 시험체에 비해 에너지 소산 능력이 3.5배 향상되었음을 보여주어, 일반적인 사용 범위 내에서 내진 어댑터가 손상되지 않았음이 확인되어 그 효과를 입증하였다. 이어서 변형 한계(변형 각도 3.3%)까지 하중을 가했을 때, 1층 하부에서 어댑터와 보강재를 연결하는 M10 볼트 중 하나가 파손된 것을 관찰하였다. 이러한 발견을 고려할 때, 실제 상황에서 내진 보강을 적용할 때는 내진 어댑터를 연결하는 볼트와 앵커의 설계에 중점을 둬야 할 것으로 판단되었다.

• 대한원격탐사학회지
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• 제39권5_2호
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• pp.771-783
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• 2023

This study aims to compare the performance of each machine learning model for preparing a grid-based disaster risk map related to flooding in Jung-gu, Ulsan, for Typhoon Chaba which occurred in 2016. Dynamic data such as rainfall and river height, and static data such as building, population, and land cover data were used to conduct a risk analysis of flooding disasters. The data were constructed as 10 m-sized grid data based on the national point number, and a sample dataset was constructed using the risk value calculated for each grid as a dependent variable and the value of five influencing factors as an independent variable. The total number of sample datasets is 15,910, and the training, verification, and test datasets are randomly extracted at a 6:2:2 ratio to build a machine-learning model. Machine learning used random forest (RF), support vector machine (SVM), and k-nearest neighbor (KNN) techniques, and prediction accuracy by the model was found to be excellent in the order of SVM (91.05%), RF (83.08%), and KNN (76.52%). As a result of deriving the priority of influencing factors through the RF model, it was confirmed that rainfall and river water levels greatly influenced the risk.