• 천문학회보
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• 제45권1호
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• pp.38.2-38.2
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• 2020

Horizon Run 5 (HR5) is a cosmological hydrodynamical simulation which captures the properties of the Universe on a Gpc scale while achieving a resolution of 1 kpc. This enormous dynamic range allows us to simultaneously capture the physics of the cosmic web on very large scales and account for the formation and evolution of dwarf galaxies on much smaller scales. Inside the simulation box. we zoom-in on a high-resolution cuboid region with a volume of 1049 × 114 × 114 Mpc3. The subgrid physics chosen to model galaxy formation includes radiative heating/cooling, reionization, star formation, supernova feedback, chemical evolution tracking the enrichment of oxygen and iron, the growth of supermassive black holes and feedback from active galactic nuclei (AGN) in the form of a dual jet-heating mode. For this simulation we implemented a hybrid MPI-OpenMP version of the RAMSES code, specifically targeted for modern many-core many thread parallel architectures. For the post-processing, we extended the Friends-of-Friend (FoF) algorithm and developed a new galaxy finder to analyse the large outputs of HR5. The simulation successfully reproduces many observations, such as the cosmic star formation history, connectivity of galaxy distribution and stellar mass functions. The simulation also indicates that hydrodynamical effects on small scales impact galaxy clustering up to very large scales near and beyond the baryonic acoustic oscillation (BAO) scale. Hence, caution should be taken when using that scale as a cosmic standard ruler: one needs to carefully understand the corresponding biases. The simulation is expected to be an invaluable asset for the interpretation of upcoming deep surveys of the Universe.

• Structural Engineering and Mechanics
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• 제85권4호
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• pp.469-484
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• 2023

A deep recursive bidirectional Cuda Deep Neural Network Long Short Term Memory (Bi-CuDNNLSTM) layer is recruited in this paper to predict the entire force time histories, and the corresponding hysteresis and backbone curves of reinforced concrete (RC) bridge piers using experimental fast and slow cyclic tests. The proposed stacked Bi-CuDNNLSTM layers involve multiple uncertain input variables, including horizontal actuator displacements, vertical actuators axial loads, the effective height of the bridge pier, the moment of inertia, and mass. The functional application programming interface in the Keras Python library is utilized to develop a deep learning model considering all the above various input attributes. To have a robust and reliable prediction, the dataset for both the fast and slow cyclic tests is split into three mutually exclusive subsets of training, validation, and testing (unseen). The whole datasets include 17 RC bridge piers tested experimentally ten for fast and seven for slow cyclic tests. The results bring to light that the mean absolute error, as a loss function, is monotonically decreased to zero for both the training and validation datasets after 5000 epochs, and a high level of correlation is observed between the predicted and the experimentally measured values of the force time histories for all the datasets, more than 90%. It can be concluded that the maximum mean of the normalized error, obtained through Box-Whisker plot and Gaussian distribution of normalized error, associated with unseen data is about 10% and 3% for the fast and slow cyclic tests, respectively. In recapitulation, it brings to an end that the stacked Bi-CuDNNLSTM layer implemented in this study has a myriad of benefits in reducing the time and experimental costs for conducting new fast and slow cyclic tests in the future and results in a fast and accurate insight into hysteretic behavior of bridge piers.

• Structural Engineering and Mechanics
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• 제87권3호
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• pp.221-229
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• 2023

Urbanization and industrialization have significantly increased the amount of solid waste produced in recent decades, posing considerable disposal problems and environmental burdens. The practice of waste utilization in concrete has gained popularity among construction practitioners and researchers for the efficient use of resources and the transition to the circular economy in construction. This study employed Lytag aggregate, an environmentally friendly pulverized fuel ash-based lightweight aggregate, as a substitute for natural coarse aggregate. At the same time, fly ash, an industrial by-product, was used as a partial substitute for cement. Concrete mix M20 was experimented with using fly ash and Lytag lightweight aggregate. The percentages of fly ash that make up the replacements were 5%, 10%, 15%, 20%, and 25%. The Compressive Strength (CS), Split Tensile Strength (STS), and deflection were discovered at these percentages after 56 days of testing. The concrete cube, cylinder, and beam specimens were examined in the explorations, as mentioned earlier. The results indicate that a 10% substitution of cement with fly ash and a replacement of coarse aggregate with Lytag lightweight aggregate produced concrete that performed well in terms of mechanical properties and deflection. The cementitious composites have varying characteristics as the environment changes. Therefore, understanding their mechanical properties are crucial for safety reasons. CS, STS, and deflection are the essential property of concrete. Machine learning (ML) approaches have been necessary to predict the CS of concrete. The Artificial Fish Swarm Optimization (AFSO), Particle Swarm Optimization (PSO), and Harmony Search (HS) algorithms were investigated for the prediction of outcomes. This work deftly explains the tremendous AFSO technique, which achieves the precise ideal values of the weights in the model to crown the mathematical modeling technique. This has been proved by the minimum, maximum, and sample median, and the first and third quartiles were used as the basis for a boxplot through the standardized method of showing the dataset. It graphically displays the quantitative value distribution of a field. The correlation matrix and confidence interval were represented graphically using the corrupt method.

• 정보처리학회 논문지
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• 제13권4호
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• pp.166-173
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• 2024

본 연구에서는 얼굴 동영상에서 입술의 움직임과 음성 간의 동기화 탐지 방법을 제안한다. 기존의 연구에서는 얼굴 탐지 기술로 얼굴 영역의 바운딩 박스를 도출하고, 박스의 하단 절반 영역을 시각 인코더의 입력으로 사용하여 입술-음성 동기화 탐지에 필요한 시각적인 특징을 추출하였다. 본 연구에서는 입술-음성 동기화 탐지 모델이 음성 정보의 발화 영역인 입술에 더 집중할 수 있도록 사전 학습된 시각적 Attention 기반의 인코더 도입을 제안한다. 이를 위해 음성 정보 없이 시각적 정보만으로 발화하는 말을 예측하는 독순술(Lip-Reading)에서 사용된 Visual Transformer Pooling(VTP) 모듈을 인코더로 채택했다. 그리고, 제안 방법이 학습 파라미터 수가 적음에도 불구하고 LRS2 데이터 세트에서 다섯 프레임 기준으로 94.5% 정확도를 보임으로써 최근 모델인 VocaList를 능가하는 것을 실험적으로 증명하였다. 또, 제안 방법은 학습에 사용되지 않은 Acappella 데이터셋에서도 VocaList 모델보다 8% 가량의 성능 향상이 있음을 확인하였다.

• 한국수산과학회지
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• 제57권1호
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• pp.32-40
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• 2024

The aim of this research was to apply a method designed to derive the factors influencing total ammonia removal when operating an additional pretreatment system at Aquaponics. The Box-Behnken method, among response surface analysis methods was used to characterize and determine the optimal nitrification conditions when operating the pretreatment system. Among the mathematically and statistically calculated prediction equations, the total ammonia nitrogen concentration Y1 measured on day 8 was derived as Y₁=-195.8+2.23X₁+42.9X₂+47.5X₃+0.1856X₁²-1.380X₁X₂-1.770X₁X₃, and the time taken to reach the maximum total ammonia nitrogen concentration during the experiment period was derived as Y₂=271-5.04X₁+60.5X₂-64.8X₃+0.1654X₁²+6.54X₃²-0.600X₁X₃-9.00X₂X₃. The coefficients of determination of the regression models of Y₁ and Y₂ were 93.99% and 94.46%, respectively. The modified coefficients of determination were also high, at 89.48% and 88.91%, respectively. The prediction coefficients of determination of Y₁ and Y₂, were 70.68% and 62.11%, respectively, which was relatively lower than that of Y1, but still indicated a reliable prediction performance.

• Journal of Periodontal and Implant Science
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• 제53권6호
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• pp.417-428
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• 2023

Purpose: To investigate the effect of xenogeneic collagen matrix (XCM) with polydeoxyribonucleotide (PDRN) for gingival phenotype modification compared to autogenous connective tissue graft. Methods: Five mongrel dogs were used in this study. Box-type gingival defects were surgically created bilaterally on the maxillary canines 8 weeks before gingival augmentation. A coronally positioned flap was performed with either a subepithelial connective tissue graft (SCTG) or XCM with PDRN (2.0 mg/mL). The animals were sacrificed after 12 weeks. Intraoral scanning was performed for soft tissue analysis, and histologic and histomorphometric analyses were performed. Results: One animal exhibited wound dehiscence, leaving 4 for analysis. Superimposition of STL files revealed no significant difference in the amount of gingival thickness increase (ranging from 0.69±0.25 mm to 0.80±0.31 mm in group SCTG and from 0.48±0.25 mm to 0.85±0.44 mm in group PDRN; P>0.05). Histomorphometric analysis showed no significant differences between the groups in supracrestal gingival tissue height, keratinized tissue height, tissue thickness, and rete peg density (P>0.05). Conclusions: XCM soaked with PDRN yielded comparable gingival augmentation to SCTG.

• Korean Circulation Journal
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• 제54권4호
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• pp.172-186
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• 2024

Background and Objectives: Long-term pathological myocardial hypertrophy (MH) seriously affects the normal function of the heart. Dronedarone was reported to attenuate left ventricular hypertrophy of mice. However, the molecular regulatory mechanism of dronedarone in MH is unclear. Methods: Angiotensin II (Ang II) was used to induce cell hypertrophy of H9C2 cells. Transverse aortic constriction (TAC) surgery was performed to establish a rat model of MH. Cell size was evaluated using crystal violet staining and rhodamine phalloidin staining. Reverse transcription quantitative polymerase chain reaction and western blot were performed to detect the mRNA and protein expressions of genes. JASPAR and luciferase activity were conducted to predict and validate interaction between forkhead box O3 (FOXO3) and protein kinase inhibitor alpha (PKIA) promoter. Results: Ang II treatment induced cell hypertrophy and inhibited sirtuin 1 (SIRT1) expression, which were reversed by dronedarone. SIRT1 overexpression or PKIA overexpression enhanced dronedarone-mediated suppression of cell hypertrophy in Ang II-induced H9C2 cells. Mechanistically, SIRT1 elevated FOXO3 expression through SIRT1- mediated deacetylation of FOXO3 and FOXO3 upregulated PKIA expression through interacting with PKIA promoter. Moreover, SIRT1 silencing compromised dronedarone-mediated suppression of cell hypertrophy, while PKIA upregulation abolished the influences of SIRT1 silencing. More importantly, dronedarone improved TAC surgery-induced MH and impairment of cardiac function of rats via affecting SIRT1/FOXO3/PKIA axis. Conclusions: Dronedarone alleviated MH through mediating SIRT1/FOXO3/PKIA axis, which provide more evidences for dronedarone against MH.

• 대한원격탐사학회지
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• 제36권6_2호
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• pp.1509-1521
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• 2020

다목적실용위성(KOMPSAT-3A: Korea Multi-Purpose Satellite 3A)으로부터 산출된 지표 반사도 성과의 검정 작업을 위하여 분광 반사도 측정값을 제공하고 있는 포털인 Radiometric Calibration Network(RadCalNet)에서 제공하는 4 개의 사이트 자료 중에서 중국 바오터우(Baotou: BTCN) 데이터를 이용한 실험을 수행하였다. 실험을 위한 반사도 성과는 대기 반사도와 지표 반사도를 일괄적으로 처리할 수 있도록 재설계하고 구현한 오픈소스 Orfeo ToolBox(OTB)의 확장 프로그램(Extension)을 이용하여 생성하였다. 절대 대기 보정에 적용되는 두 가지의 센서 모델 변수를 고려하여 2016년, 2017년, 2018년 자료 1개씩 총 3개의 영상 자료를 실험에 적용하였다. 한편 각각 USGS LaSRC 알고리즘과 SNAP Sen2Cor 프로그램을 이용하여 Landsat-8과 Sentinel-2B 영상정보로부터 산출한 반사도 성과와의 비교 검증 작업을 수행하여 센서 별 차이를 확인하고자 하였다. 대기 반사도와 지표 반사도를 대상으로 절대 대기 보정을 위한 필수 입력 값인 Gain과 Offset에 대한 센서 모델 변수 값을 적용한 결과로, 2019년에 발표된 변수 값을 사용한 성과에 비하여 2017년 변수 값을 사용한 성과가 RadCalNet BTCN 자료에 비교적 잘 부합되는 것으로 나타났다. RadCalNet BTCN 자료를 기준으로 KOMPSAT-3A 영상정보의 지표 반사도 성과와의 차이는 밴드 별로 B 밴드(-0.031 ~ 0.034), G 밴드(-0.001 ~ 0.055), R 밴드(-0.072 ~ 0.037), NIR 밴드(-0.060 ~ 0.022)로 일치도가 높은 것으로 나타났고, Landsat-8 영상과 Sentinel-2B 영상의 지표 반사도의 경우도 KOMPSAT-3A 영상의 지표 반사도 성과의 정확도와 유사한 수준인 것으로 나타났다. 이번 연구 결과는 고해상도 위성에서 지표 반사도 값에 대한 분석 대기 데이터(Analysis Ready Data: ARD) 적용 가능성을 확인한 것에 의미가 있다.

• 문화기술의 융합
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• 제7권3호
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• pp.215-222
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• 2021

뒤샹이 레디메이드를 선택한 주요 요인은 망막적 회화의 부정, 그리고 그의 내면에 자리하고 있는 변화에 대한 욕망과 유동적 사유 때문이었다. 뒤샹의 그러한 사유는 레디메이드 작품에서 잘 드러난다. 그의 레디메이드 초기 작품 <자전거 바퀴> 는 존재자들과 자본과의 상관관계를 표현한 것으로 그 본질은 자본과 존재자들의 욕망을 염두에 둔 것이다. 이것은 질 들뢰즈와 펠릭스 가타리가 사회의 변혁과 창조적 모델로 제시하였던 욕망 또는 욕망기계와도 연관된다. 그런데 <자전거 바퀴> 가 단순하게 자본과 존재자들의 욕망 관계로 끝나는 것은 아니다. 존재자들이 지닌 욕망이 긍정적 욕망으로 전환했을 때는 그것이 끊임없이 반복적이고 유동적이며 새로운 것을 창안·창조한다. 뒤샹은 이러한 긍정적 욕망을 레디메이드 <샘> 을 통해 전달하고자 했다. 뒤샹이 변기라는 기성품을 <샘> 이라는 개념으로 창조시켰던 것은 그에게 유동하는 욕망 자리하고 있기 때문이며, 이것은 정착하지 않고 끊임없이 유동하면서 새로운 풍경을 찾아다니는 노마드의 속성과 연관된다. 이러한 그의 사유는<여행 가방 속 상자>라는 작품에서 확연하게 드러난다. 뒤샹이 <여행 가방 속 상자> 작품을 제작하게 된 동기는 그의 유동적 사유가 주요했다. 그런데 이 작품은 장소와 배치라는 두 가지 요소의 향방에 따라 다양한 상황이 수시로 전개될 수 있다. 여기서 장소는 유동성, 배치는 가변성 또는 욕망을 담보하고 있다. 유동성은 질 들뢰즈와 펠릭스 가타리에 의하면 흐름과 변주(變奏)의 특성을 지닌 노마드인 것이며, 욕망은 생산성 즉 생성 또는 창조라 할 수 있다. 따라서 <여행 가방 속 상자> 는 노마드 그 자체라 할 수 있다. 질 들뢰즈와 펠릭스 가타리의 노마드는 끊임없이 유동하면서 새로운 세계를 창조하는 특성을 가지고 있다. 이것은 한곳에 정착하기를 거부했었던 그리고 기존 질서로부터 탈주하여 새로운 예술세계를 창조했었던 뒤샹의 사유와 부합한다. 이 노마드는 혁명가, 차이를 긍정하고 생성을 만들어 내는 창조자라는 할 수 있다. 노마드는 기존 질서에 대한 저항의 개념도 담고 있다. 들뢰즈와 가타리는 이 저항의 모델로 전쟁기계라는 것을 제시하였다. 그러므로 뒤샹과 그의 레이메드 작품 등은 모두 전쟁기계로 볼 수 있다.

• 한국운동역학회지
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• 제21권4호
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• pp.437-447
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• 2011

In this study, the lower limbs joints were analyzed for features based on the biomechanical characteristics of landing techniques according to height and landing on the ground type (flats and downhill). In order to achieve the objectives of the study, changes were analyzed in detail contents such as the height and form of the first landing on the ground at different angles of joints, torso and legs, torso and legs of the difference in the range of angular motion of the joint, the maximum angular difference between joints, the lower limbs joints difference between the maximum moment and the difference between COM changes. The subjects in this study do not last six months did not experience joint injuries 10 males in 20 aged were tested. Experimental tools to analyze were the recording and video equipment. Samsung's SCH-650A model camera was used six units, and the 2 GRF-based AMTI were used BP400800 model. 6-unit-camera synchronized with LED (photo cell) and Line Lock system were used. the output from the camera and the ground reaction force based on the data to synchronize A/D Syc. box was used. To calculate the coordinates of three-dimensional space, $1m{\times}3m{\times}2m$ (X, Y, Z axis) to the size of the control points attached to the framework of 36 markers were used, and 29 where the body was taken by attaching a marker to the surface. Two kinds of land condition, 40cm and 60cm in height, and ground conditions in the form of two kinds of flat and downhill slopes ($10^{\circ}$) of the landing operation was performed and each subject's 3 mean two-way RM ANOVA in SPSS 18.0 was used and this time, all the significant level was set at a=.05. Consequently, analyzing the landing technique as land form and land on the ground, the changes of external environmental factors, and the lower limbs joints' function in the evaluation were significantly different from the slopes. Landing of the slop plane were more load on the joints than landing of plane. Especially, knee extensor moment compared to the two kinds of landing, slopes plane were approximately two times higher than flat plane, and it was statistical significance. Most of all not so much range of motion and angular velocity of the shock to reduce stress was important. In the further research, front landing as well as various direction of motion of kinetic, kinetic factors and EMG variables on lower limbs joints of the study in terms of injury-prevention-approach is going to be needed.