• 정보처리학회논문지A
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• 제19A권2호
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• pp.73-76
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• 2012

본 논문에서는 단백질 분자로부터 표면 원자를 효율적으로 발견하는 알고리즘을 제안한다. 표면 원자란, 주어진 probe solvent $P$가 단백질 분자와 충돌하지 않고 접한다고 가정할 때, $P$와 접할 수 있는 원자의 집합을 의미한다. 단백질 분자를 구성하는 원자들은 반데르바스 반경을 갖는 구의 집합으로 표현되며, probe solvent 역시 구로 대응된다. $P$의 반경에 대해 분자의 오프셋 곡면을 구하여 표면 원자를 발견하는 알고리즘을 제안한다. 제안된 알고리즘은 각 구의 오프셋 곡면에 대해 복셀 맵(voxel map)을 구성하여 효율적으로 분자의 오프셋 곡면을 구하며, GPU (graphic processor unit)를 활용한 병렬처리를 수행하여 최대 6,412개의 원자를 갖는 분자에 대해 42.87 millisecond 내에 표면 원자를 발견한다.

• Journal of Chest Surgery
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• 제46권4호
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• pp.289-292
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• 2013

Through the use of a dual chamber (DDD) pacemaker, we achieved a cardiac resynchronization effect in a 51-year-old female patient who was transferred to our hospital from another hospital for an operation for three-vessel coronary artery disease. Her electrocardiogram showed a left bundle branch block (LBBB) and a prolonged QRS interval of 166 milliseconds. Severe left ventricle (LV) dysfunction was diagnosed via echocardiography. Coronary artery bypass grafting (CABG) was then performed. In order to accelerate left atrial activation and reduce the conduction defect, DDD pacing using right atrial and left and right ventricular pacing wires was initiated postoperatively. The cardiac output was measured immediately, and one and twelve hours after arrival in the intensive care unit. The cardiac output changed from 2.8, 2.4, and 3.6 L/min without pacing to 3.5, 3.4, and 3.5 L/min on initiation of pacing. The biventricular synchronization using DDD pacing was turned off 18 hours after surgery. She was transferred to a general ward with a cardiac output of 3.9 L/min. In patients with coronary artery disease, severe LV dysfunction, and LBBB, cardiac resynchronization therapy can be achieved through DDD pacing after CABG.

• 한국초전도ㆍ저온공학회논문지
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• 제16권4호
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• pp.44-48
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• 2014

A liquid nitrogen-cooled prepolarization ($B_p$) coil made for ultra-low field nuclear magnetic resonance and magnetic resonance imaging (ULF-MR) designed to generate 7 mT/A was fabricated. However, with suspected internal insulation failure, the coil was investigated in order to find out the source of the failure. This paper reports detailed build of the failed $B_p$ coil and a number of analysis methods utilized to figure out the source and the mode of failure. The analysis revealed that pyrolytic graphite sheet linings put on either sides of the coil for better thermal conduction acted as an electrical bridge between inner and outer layers of the coil to short out the coil whenever a moderately high voltage was applied across the coil. A simple model circuit simulation corroborated the analysis and further revealed that the failed insulation acted effectively as a damping resistor of $R_{d,eff}=6{\Omega}$ across the coil. This damping resistance produced a 50 ms-long voltage tail after the coil current was ramped down, making the coil not suitable for use in ULF-MR, which requires complete removal of magnetic field from $B_p$ coil within milliseconds.

• 한국게임학회 논문지
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• 제11권6호
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• pp.61-70
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• 2011

본 논문에서는 결정트리 학습 알고리즘을 활용한 축구 게임 수비 NPC 제어 방법을 제안한다. 제안하는 방법은 실제 게임 사용자들의 이동 방향 패턴과 행동 패턴을 추출하여 결정트리학습 알고리즘에 적용한다. 그리고 학습된 결정트리를 바탕으로 NPC의 이동방향과 행동을 결정한다. 실험결과 제안하는 방법은 결정트리 학습에 시간이 다소 걸리지만, 학습된 결정트리를 바탕으로 이동방향이나 행동을 결정하는 시간은 약 0.001-0.003 ms(밀리초)가 소요되어 실시간으로 NPC를 제어할 수 있었다. 또한, 제안하는 방법은 현재 상태 정보 뿐만 아니라 이를 분석한 관계정보, 이전 상태 정보도 함께 활용하므로, 기존방법인 (Letia98)에 비해 이동방향 결정시 높은 정확도를 나타냈다.

• Nuclear Engineering and Technology
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• 제54권1호
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• pp.36-48
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• 2022

As a valid numerical method to obtain a high-resolution result of a flow field, computational fluid dynamics (CFD) have been widely used to study coolant flow and heat transfer characteristics in fuel rod bundles. However, the time-consuming, iterative calculation of Navier-Stokes equations makes CFD unsuitable for the scenarios that require efficient simulation such as sensitivity analysis and uncertainty quantification. To solve this problem, a reduced-order model (ROM) based on proper orthogonal decomposition (POD) and machine learning (ML) is proposed to simulate the flow field efficiently. Firstly, a validated CFD model to output the flow field data set of the rod bundle is established. Secondly, based on the POD method, the modes and corresponding coefficients of the flow field were extracted. Then, an deep feed-forward neural network, due to its efficiency in approximating arbitrary functions and its ability to handle high-dimensional and strong nonlinear problems, is selected to build a model that maps the non-linear relationship between the mode coefficients and the boundary conditions. A trained surrogate model for modes coefficients prediction is obtained after a certain number of training iterations. Finally, the flow field is reconstructed by combining the product of the POD basis and coefficients. Based on the test dataset, an evaluation of the ROM is carried out. The evaluation results show that the proposed POD-ROM accurately describe the flow status of the fluid field in rod bundles with high resolution in only a few milliseconds.

• 한국전자통신학회논문지
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• 제17권2호
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• pp.279-290
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• 2022

초전도 한류기는 초전도 전이를 이용하여 전류를 제어하는 전력기기로, 수 msec 이내에 고장전류를 정상전류로 변환하여 전력계통의 유연성, 안정성 및 신뢰성을 높일 수 있는 기기이다. 고온초전도 선재는 상전이 속도가 빠르고 임계전류밀도가 높으며 교류손실이 적어 초전도 한류기에 적합한 소재이지만 최적화 연구가 부족함에 따라 고온초전도 선재 특성에 의존하는 기존 방식은 한류소자의 설계, 투입 선재의 양 등에 있어 비효율적이다. 따라서 초전도 한류기에 적합한 선재를 개발하기 위해 임계전류 균일도 향상, 최적의 안정화재 재료 선정 및 균일 적층 기술 개발 연구가 수행되었다. 본 연구를 통하여 개발된 고온 초전도 선재는 710m 길이에서 평균 804 A/12mm-w의 임계전류를 가지는 선재제조 기술을 확보함에 따라 효율성 향상, 비용 절감 및 크기 축소로 경제적 성과를 확보할 수 있었다.

• International Journal of Computer Science & Network Security
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• 제23권7호
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• pp.49-60
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• 2023

The amount of data generated by electronic systems through e-commerce, social networks, and data computation has risen. However, the security of data has always been a challenge. The problem is not with the quantity of data but how to secure the data by ensuring its confidentiality and privacy. Though there are several research on cloud data security, this study proposes a security scheme with the lowest execution time. The approach employs a non-linear time complexity to achieve data confidentiality and privacy. A symmetric algorithm dubbed the Non-Deterministic Cryptographic Scheme (NCS) is proposed to address the increased execution time of existing cryptographic schemes. NCS has linear time complexity with a low and unpredicted trend of execution times. It achieves confidentiality and privacy of data on the cloud by converting the plaintext into Ciphertext with a small number of iterations thereby decreasing the execution time but with high security. The algorithm is based on Good Prime Numbers, Linear Congruential Generator (LGC), Sliding Window Algorithm (SWA), and XOR gate. For the implementation in C, thirty different execution times were performed and their average was taken. A comparative analysis of the NCS was performed against AES, DES, and RSA algorithms based on key sizes of 128kb, 256kb, and 512kb using the dataset from Kaggle. The results showed the proposed NCS execution times were lower in comparison to AES, which had better execution time than DES with RSA having the longest. Contrary, to existing knowledge that execution time is relative to data size, the results obtained from the experiment indicated otherwise for the proposed NCS algorithm. With data sizes of 128kb, 256kb, and 512kb, the execution times in milliseconds were 38, 711, and 378 respectively. This validates the NCS as a Non-Deterministic Cryptographic Algorithm. The study findings hence are in support of the argument that data size does not determine the execution.

• Nuclear Engineering and Technology
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• 제55권12호
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• pp.4642-4646
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• 2023

The Tb³⁺ or Eu³⁺-doped Lu₂Gd₁Ga₂Al₃O₁₂ phosphor were fabricated by funace at 1500 ℃ for 12 h using a solid state reaction. The XRD (X-ray diffraction_Panalytical X'Pert Pro) and FE-SEM (field emission scanning electron microscope) are measured to confirm the crystalline structure and surface morphology of the phosphor. The Tb³⁺-doped Lu₂Gd₁Ga₂Al₃O₁₂ phosphor emits the lights in 470~650 nm wavelength range due to transitions from ⁵D₄ to ⁷F_j. Therefore, it shows the green region in the CIE chromaticity diagram under both UV and X-rays excitations. The Eu³⁺-doped Lu₂Gd₁Ga₂Al₃O₁₂ phosphor emits the lights in 550~750 nm wavelength range because of ⁵D_i to ⁷F_j. The emission is confirmed to be in the red region using the CIE chromaticity diagram. The Tb³⁺ or Eu³⁺-doped Lu₂Gd₁Ga₂Al₃O₁₂ phosphor shows the characteristic f-f transition with a long decay time, which is about several milliseconds. They have the high efficiency of light emission for X-ray because of their high effective Z number (Z_eff = 58.5) and density. Therefore, they are very much promising phosphors for X-ray imaging application in medical fields.

• Nuclear Engineering and Technology
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• 제56권3호
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• pp.973-979
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• 2024

In the framework of the Generation IV research and development project, in which the French Commission of Alternative and Atomic Energies (CEA) is involved, a main objective for the design of Sodium-cooled Fast Reactor (SFR) is to meet the safety goals for severe accidents. Among the severe ones, the Unprotected Transient OverPower (UTOP) accidents can lead very quickly to a global melting of the core. UTOP accidents can be considered either as slow during a Control Rod Withdrawal (CRW) or as fast. The paper focuses on fast UTOP accidents, which occur in a few milliseconds, and three different scenarios are considered: rupture of the core support plate, uncontrolled passage of a gas bubble inside the core and core mechanical distortion such as a core flowering/compaction during an earthquake. Several levels and rates of reactivity insertions are also considered and the thermal-mechanical behavior of an ASTRID fuel pin from the ASTRID CFV core is simulated with the GERMINAL code. Two types of fuel pins are simulated, inner and outer core pins, and three different burn-up are considered. Moreover, the feedback from the CABRI programs on these type of transients is used in order to evaluate the failure mechanism in terms of kinetics of energy injection and fuel melting. The CABRI experiments complete the analysis made with GERMINAL calculations and have shown that three dominant mechanisms can be considered as responsible for pin failure or onset of pin degradation during ULOF/UTOP accident: molten cavity pressure loading, fuel-cladding mechanical interaction (FCMI) and fuel break-up. The study is one of the first step in fast UTOP accidents modelling with GERMINAL and it has shown that the code can already succeed in modelling these type of scenarios up to the sodium boiling point. The modeling of the radial propagation of the melting front, validated by comparison with CABRI tests, is already very efficient.

• 해양환경안전학회지
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• 제28권1호
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• pp.175-183
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• 2022

선박과 교각이 충돌하면 생명과 안전에 큰 위협이 될 수 있다. 따라서 선박-교각 충돌력 영향 인자를 식별하고 다양한 충돌 조건에서의 충돌력에 대한 연구의 필요성이 있다. 본 논문에서는 선박-교각 충돌의 유한요소 모델을 설정하고, 수치 시뮬레이션을 통해 선적상태, 운항속도, 충돌 각도의 세 가지 입력조건을 조합하여 50가지 케이스에서의 선박-교각 최대 충돌력을 계산하였다. 계산된 유한요소해석 결과를 사용하여 신경망 추정 모델을 학습하고 최대 충돌력을 추정함으로써 빠른 시간에 최대 충돌력을 추정하는 프로세스를 제안하였다. 신경망 예측 모델은 가장 기초적인 역전파 신경망과 시간정보를 고려할 수 있는 순환신경망인 Elman 신경망 2가지 모델을 사용하였다. 10가지 케이스의 테스트 데이터로 시험한 결과 Elman 신경망을 사용했을 경우에 평균상대오차가 4.566%로 역전파 신경망보다 나은 최대 충돌력 추정이 가능함을 확인하였고 8가지 케이스에서 5%이하의 상대오차를 보여 주었다. 본 신경망을 이용한 최대 충돌력 추정법은 유한요소해석을 수행하지 않아도 되므로 계산 시간이 짧아 선박 항해 중 충돌을 회피할 수 없는 경우 피해를 최소화하는 의사결정의 기초 방법으로 사용할 수 있다.