• Journal of Electrochemical Science and Technology
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• 제13권2호
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• pp.227-236
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• 2022

The microblade cutting method, so-called SAICAS, is widely used to quantify the adhesion of battery composite electrodes at different depths. However, as the electrode thickness or loading increases, the reliability of adhesion values measured by the conventional method is being called into question more frequently. Thus, herein, a few underestimated parameters, such as friction, deformation energy, side-area effect, and actual peeing area, are carefully revisited with ultrathick composite electrodes of 135 ㎛ (6 mAh cm^-2). Among them, the existence of side areas and the change in actual peeling area are found to have a significant influence on measured horizontal forces. Thus, especially for ultrahigh electrodes, we can devise a new SAICAS measurement standard: 1) the side-area should be precut and 2) the same actual peeling area must be secured for obtaining reliable adhesion at different depths. This guideline will practically help design more robust composite electrodes for high-energy-density batteries.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.140-140
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• 2021

Urban flood management is a crucial and challenging task, particularly in developed cities. Therefore, accurate prediction of urban flooding under heavy precipitation is critically important to address such a challenge. In recent years, machine learning techniques have received considerable attention for their strong learning ability and suitability for modeling complex and nonlinear hydrological processes. Moreover, a survey of the published literature finds that hybrid computational intelligent methods using nature-inspired algorithms have been increasingly employed to predict or simulate the streamflow with high reliability. The present study is aimed to propose a novel approach, an ensemble tree, Bayesian Additive Regression Trees (BART) model incorporating a nature-inspired algorithm to predict hourly multi-step ahead streamflow. For this reason, a hybrid intelligent model was developed, namely GA-BART, containing BART model integrating with Genetic algorithm (GA). The Jungrang urban basin located in Seoul, South Korea, was selected as a case study for the purpose. A database was established based on 39 heavy rainfall events during 2003 and 2020 that collected from the rain gauges and monitoring stations system in the basin. For the goal of this study, the different step ahead models will be developed based in the methods, including 1-hour, 2-hour, 3-hour, 4-hour, 5-hour, and 6-hour step ahead streamflow predictions. In addition, the comparison of the hybrid BART model with a baseline model such as super vector regression models is examined in this study. It is expected that the hybrid BART model has a robust performance and can be an optional choice in streamflow forecasting for urban basins.

• 한국지형학회지
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• 제26권4호
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• pp.21-31
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• 2019

Timing of terrace formation is a key information for understanding the evolution of fluvial systems. In particular, dating strath terrace (i.e. timing of terrace abandonment) is more difficult than depositional terrace that is conventionally constrained by radiocarbon, OSL and other dating methods targeting samples within terrace deposit. Surface exposure dating utilizing cosmogenic ¹⁰Be provides more reliability because it can be applied directly to the surface of a fluvial terrace. Thus, this method has been increasingly used for alluvial deposits. As well as other geomorphic surfaces over the last decades. Some inherent conditions, however, such as post-depositional ¹⁰Be concentration (i.e. inheritance), surface erosion rate, and density change challenge the application of cosmogenic ¹⁰Be to depositional terrace surface against simple bedrock surface. Here we present the first application of ¹⁰Be depth profile dating to a thin-gravel covered strath terrace in Korea. Monte Carlo simulation (MCS) helped us in better constraining the timing of abandonment of the strath terrace, since which its surface stochastically denuded with time, causing unexpected change of ¹⁰Be production with depth. The age of the strath terrace estimated by MCS was 109 ka, ~4% older than the one (104 ka) calculated by simple depth profile dating, which yielded the best-fit surface erosion rate of 2.1 mm/ka. Our study demonstrates that the application of ¹⁰Be depth profile dating of strath terrace using MCS is more robust and reliable because it considers post-depositional change of initial conditions such as erosion rate.

• Nuclear Engineering and Technology
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• 제56권1호
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• pp.216-221
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• 2024

Ion cyclotron range of frequency (ICRF) heating system is an important auxiliary heating method in the experimental Advanced Superconducting Tokamak (EAST). In EAST, several megawatts of power are transmitted with coaxial transmission lines and coupled to the plasma. For the long pulse and high power operation of the ICRF waves heating system, it is very important to effectively control the power and initial phase of the ICRF signals. In this paper, a power and phase feedback control system is described based on field programmable gate array (FPGA) devices, which can realize complicated algorithms with the advantages of fast running and high reliability. The transmitted power and antenna phase are measured by a power and phase detector and digitized. The power and phase feedback control algorithms is designed to achieve the target power and antenna phase. The power feedback control system was tested on a dummy load and during plasma experiments. Test results confirm that the feedback control system can precisely control ICRF power and antenna phase and is robust during plasma variations.

• 대한치매학회지
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• 제23권3호
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• pp.127-135
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• 2024

Background and Purpose: To ensure data privacy, the development of defacing processes, which anonymize brain images by obscuring facial features, is crucial. However, the impact of these defacing methods on brain imaging analysis poses significant concern. This study aimed to evaluate the reliability of three different defacing methods in automated brain volumetry. Methods: Magnetic resonance imaging with three-dimensional T1 sequences was performed on ten patients diagnosed with subjective cognitive decline. Defacing was executed using mri_deface, BioImage Suite Web-based defacing, and Defacer. Brain volumes were measured employing the QBraVo program and FreeSurfer, assessing intraclass correlation coefficient (ICC) and the mean differences in brain volume measurements between the original and defaced images. Results: The mean age of the patients was 71.10±6.17 years, with 4 (40.0%) being male. The total intracranial volume, total brain volume, and ventricle volume exhibited high ICCs across the three defacing methods and 2 volumetry analyses. All regional brain volumes showed high ICCs with all three defacing methods. Despite variations among some brain regions, no significant mean differences in regional brain volume were observed between the original and defaced images across all regions. Conclusions: The three defacing algorithms evaluated did not significantly affect the results of image analysis for the entire brain or specific cerebral regions. These findings suggest that these algorithms can serve as robust methods for defacing in neuroimaging analysis, thereby supporting data anonymization without compromising the integrity of brain volume measurements.

• 대한교통학회지
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• 제30권1호
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• pp.19-30
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• 2012

하루 동안 발생하는 교통수요는 대부분 특정 시간대에 집중됨으로써 수요 및 편익 산정에 어려움을 초래한다. 따라서 보다 신뢰성 높은 결과를 산출하기 위해서는 시간대별 특성을 고려할 필요가 있다. 이를 위한 첨두/비첨두의 1시간 통행량으로 환산하는 방법으로는 직관적 방법, 경험적 방법, 통계적 방법 등이 있다. 본 연구에서는 통계적 방법의 일환인 혼합군집분석 기법을 적용하여 첨두/비첨두/심야시간에 대한 지속시간과 집중률을 산정한다. 한국건설기술연구원이 제공하는 2009년 전국 24시간 수시교통량 자료를 이용하였으며, 차종별 특성을 살펴보기 위해 승용차, 트럭, 전차종 등으로 나누어 분석을 실시하였다. 분석결과의 검증을 위해 한국도로공사의 TCS 통행시간 자료를 이용하였다. 검증결과 본 연구결과가 타 연구에 비해 비첨두/심야 시간에는 오차율이 낮으며, 첨두시에는 통행거리가 멀어질수록 오차율이 높아지는 결과를 보였다. 본 연구결과는 임의성을 배제할 수 있으며, 첨두율 추정치에 대한 신뢰성 검증을 수행할 수 있어 보다 안정적인 방법론이라 평가할 수 있을 것이다. 본 연구의 결과가 향후 교통수요 분석의 신뢰성 향상에 일조할 수 있기를 기대한다.

• 한국미생물·생명공학회지
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• 제36권3호
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• pp.173-181
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• 2008

소의 혈액, 세포, 조직, 기관 등은 생물의약품과 조직공학제제, 세포치료제의 원료로 널리 사용되고 있다. 소유래 물질을 원료로 사용한 제제의 경우 소유래 원료 물질에 다양한 바이러스가 오염된 사례가 있기 때문에 바이러스 안전성 검증이 필수적이다. BPV는 소에게 가장 흔하게 감염되는 바이러스 중의 하나이다. 소유래 물질을 원료로 하는 생물의약품, 조직공학제제, 세포치료제 등에서 BPV 안전성을 확보하기 위해, 원료물질, 제조공정, 완제품에서 BPV를 정량적으로 검출하고, 제조공정에서 BPV 제거 검증을 위한 시험법으로 활용이 가능한 BPV real-time PCR 시험법을 확립하였다. BPV에 특이적인 primer를 선별하였으며, 형광염료 SYBR Green I을 사용하여 BPV DNA 정량 검출 시험법을 최적화하였다. 세포배양법에 의한 감염역가와 비교한 결과 real-time PCR 민감도는 $1.3{\times}10^{-1}\;TCID_{50}/mL$이었다. 확립된 시험법의 신뢰성(reliability)을 보증하기 위해 시험법 검증을 실시한 결과 특이성(specificity)과 재현성 (reproducibility)이 우수함을 확인하였다. 확립된 real-time PCR을 생물의약품 제조공정 검증에 적용할 수 있는지 확인하기 위하여 인위적으로 BPV를 오염시킨 CHO 세포주와 소유래 콜라겐에서 BPV 검출 시험을 실시하였다. BPV를 감염시킨 CHO 세포에서 세포변병효과를 관찰할 수 없었지만, 세포와 세포배양 상청액에서 BPV를 정량적으로 검출할 수 있었다. 소유래 콜라겐에서도 $1.3{\times}10^0\;TCID_{50}/mL$까지 정량적으로 검출할 수 있었다.

• 한국미생물·생명공학회지
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• 제36권1호
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• pp.12-20
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• 2008

세포배양 유래 생물의약품 생산 공정에서 다양한 바이러스가 오염된 사례가 있기 때문에 바이러스 안전성 검증이 필수적이다. MVM은 동물 세포주와 동물 세포 배양 공정에 오염되는 대표적인 바이러스이다. 세포배양 유래 생물의약품의 MVM 안전성을 확보하기 위해, 세포주, 원료물질, 제조공정, 완제품에서 MVM을 정량적으로 검출하고, 제조공정에서 MVM 제거 검증을 위한 시험법으로 활용이 가능한 real-time PCR 시험법을 확립하였다. MVM에 특이적인 primer를 선별하였으며, 형광염료 SYBR Green I을 사용하여 MVM DNA 정량 검출 시험법을 최적화하였다. 세포배양 법에 의한 감염역가와 비교한 결과 real-time PCR 민감도는 $6{\times}10^{-2}TCID_{50}/mL$이었다. 확립된 시험법의 신뢰성(reliability)을 보증하기 위해 시험법 검증을 실시한 결과 특이성(specificity)과 재현성(reproducibility)이 우수함을 확인하였다. 확립된 real-time PCR을 생물의약품 제조공정 검증에 적용할 수 있는지 확인하기 위하여 인위적으로 MVM을 오염시킨 CHO 세포에서 MVM검출 시험을 실시한 결과 MVM을 감염시킨 CHO 세포와 세포배양 상청액에서 MVM을 정량적으로 검출할 수 있었다. 또한 바이러스 필터 공정에서 MVM제거 효과를 감염역가 시험법과 비교 검증한 결과 더 높은 민감도로 빠른 시간에 동일한 결과를 얻을 수 있었다. 위와 같은 결과에서 확립된 MVM real-time PCR시험법은 생물의약품 안전성 보증을 위한 세포주 검증, 생물의약품 생산 공정 검증, 바이러스 제거 공정 검증 등에서 감염역가 시험법을 대신할 수 있는 신속하고, 특이성과 민감성이 우수한 시험법임을 확인하였다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권1호
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• pp.29-37
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• 2009

동기/비동기 방식을 통한 메시지 송수신은 근래에 들어 많은 분야의 기업 환경에서 실시간 메시지 전송을 위해 널리 사용되고 있는 실정이다. 특히 JMS(Java Message Service) 메시지 플랫폼은 가장 많이 활용되고 있는 메시지 송수신 미들웨어로서 내부 및 외부의 정보시스템 통합을 위한 기반기술로 각광받고 있다. JMS는 실시간/배치 작업 지원, 안정성 보장 및 분산 환경 지원 등 매우 효율적인 기능을 지원하는 반면에, JMS가 갖는 신뢰성 보장 기능과 메시지 단위의 송수신 특징은 인터넷과 같은 분산된 환경에서 논리적으로 매우 거리가 먼 두 시스템간의 대용량 메시지 송수신을 위해 활용할 경우에는 일반 단위 트랜잭션 처리와는 다른 고려요소가 필요하다. 특히 송수신할 단위 메시지 크기는 총 메시지 송수신시간을 좌우하는 매우 중요한 요소가 된다. 따라서 본 논문에서는 JMS 메시지 플랫폼의 환경에 따른 최적화된 단위 메시지 크기를 산출하는 기법과 이를 실현할 수 있는 시스템을 제안하고자 한다. 이는 JMS 응용 시스템으로서 대용량 메시지 전송을 위한 JMS 기반의 메시지 송수신 시스템 개발 시 최적화된 단위 메시지 크기를 산출하여 적용함으로써 총 메시지 송수신시간을 최소화 할 수 있도록 한다. 마지막으로 이를 실제 환경에서 테스트하고 기존의 JMS 처리 방식과 비교 평가함으로써 본 논문에서 제안하는 기법과 구현 시스템에 대한 검증을 수행하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2010년도 춘계학술대회 논문집
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• pp.47-47
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• 2010

Over the past 20 years, constant progress in noise and vibration (NVH) engineering has enabled to constantly advance quality and comfort of operation and use of really any products - from automobiles to aircraft, to all kinds of industrial vehicles and machines - to the extend that for many products, supreme NVH performance has becomes part of its brand image in the market. At the same time, the product innovation agenda in the automotive, aircraft and really many other industries, has been extended very much in recent years by meeting ever more strict environmental regulations. Like in the automotive industry, the drive towards meeting emission and CO2 targets leads to very much accelerated adoption of new powertrain concepts (downsizing of ICE, hybrid-electrical...), and to new vehicle architectures and the application of new materials to reduce weight, which bring new challenges for not only maintaining but further improving NVH performance. This drives for innovation in NVH engineering, so as to succeed in meeting a product brand performance for NVH, while as the same time satisfying eco-constraints. Product innovation has also become increasingly dependent on the adoption of electronics and software, which drives for new solutions for NVH engineering that can be applied for NVH performance optimization of mechatronic products. Finally, relentless pressure to shorten time to market while maintaining overall product quality and reliability, mandates that the practice and solutions for NVH engineering can be optimally applied in all phases of product development. The presentation will first review the afore trends for product and process innovation, and discuss the challenges they represent for NVH engineering. Next, the presentation discusses new solutions for NVH engineering of products, so as to meet target brand values, while at the same time meeting ever more strict eco constraints, and this within a context of increasing adoption of electronics and controls to drive product innovation. NVH being very much defined by system level performance, these solutions implement the approach of "Model Based System Engineering" to increase the impact of system level analysis for NVH in all phases of product development: - At the Concept Phase, to be able to do business case analysis of new product concepts; to arrive at an optimized and robust product architecture (e.g. to hybrid powertrain lay-out, to optimize fuel economy); to enable target cascading, to subsystem and component level. - In Development Phase, to increase realism and productivity of simulation, so as to frontload virtual validation of components and subsystems and to further reduce reliance on physical testing. - During the final System Testing Phase, to enable subsystem testing by a combination of physical testing and simulation: using simulation models to simulate the final integration context when testing a subsystem, enabling to frontload subsystem testing before final system integration is possible. - To interconnect Mechanical, Electronical and Controls engineering, in all phases of development, by supporting model driven controls engineering (MIL, SIL, HIL). Finally, the presentation reviews examples of how LMS is implementing such new applications for NVH engineering with lead customers in Europe, Asia and US, with demonstrated benefits both in terms of shortening development cycles, and/or enabling a simulation based approach to reduce reliance on physical testing.