• 한국대기환경학회지
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• 제31권6호
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• pp.585-592
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• 2015

In this study, by applying mobile based GIS and image analysis of particulate matter ($PM_{10}$) concentration in Seoul and Ulsan in Korea, to identify the user's location and also implemented the application to information exchange. It strengthened citizens' access to air quality information through the application and derived the expanded environment information sharing through real-time user participation. Through atmospheric concentrations image analysis, it showed a new environmental information construction possibility. It had the effect of expanding the information collecting through the local user participation on the limited information collected area which place is not yet constructed atmospheric monitoring network. Location-based particulate matter information service application provides a user location's $PM_{10}$ information from the 25 urban air monitoring network real-time database of the Ministry of Environment. Furthermore, if the user sent a picture of the atmosphere to the server, should match the image density values of the database and express on Seoul's maps through the IDW interpolation. And then a $PM_{10}$ concentration result is transmitted to user in real time.

• Journal of Electrical Engineering and Technology
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• 제5권1호
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• pp.16-20
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• 2010

Recently, the smart grid has become a hot issue and interest in related power sources have increased accordingly. The implementation of a smart grid can enable many generation resources to be linked to the power system, including small-scale reactors for the purpose of co-generation. Research on small-scale reactors is being carried out all over the world. Similarly, Korea is also conducting research on multi-purpose regional energy systems using nuclear energy. This paper proposes a real-time data acquisition and analysis system for small-scale reactors, and is known as the REX-10 (Regional Energy rX 10 MVA). This analysis requires real-time simulations for the power system since it needs data communication with a remote REX-10. A RTDS (Real Time Digital Simulator) has been used for the simulation, and a SCADA/HMI system interfaced with the RTDS is proposed for the purpose of monitoring and control of the regional energy system.

• International Journal of Internet, Broadcasting and Communication
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• 제11권4호
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• pp.76-85
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• 2019

We introduce a vision-based object detection method for real-time video surveillance system in low-end edge computing environments. Recently, the accuracy of object detection has been improved due to the performance of approaches based on deep learning algorithm such as Region Convolutional Neural Network(R-CNN) which has two stage for inferencing. On the other hand, one stage detection algorithms such as single-shot detection (SSD) and you only look once (YOLO) have been developed at the expense of some accuracy and can be used for real-time systems. However, high-performance hardware such as General-Purpose computing on Graphics Processing Unit(GPGPU) is required to still achieve excellent object detection performance and speed. To address hardware requirement that is burdensome to low-end edge computing environments, We propose sub-frame analysis method for the object detection. In specific, We divide a whole image frame into smaller ones then inference them on Convolutional Neural Network (CNN) based image detection network, which is much faster than conventional network designed forfull frame image. We reduced its computationalrequirementsignificantly without losing throughput and object detection accuracy with the proposed method.

• 4차산업연구
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• 제3권1호
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• pp.13-20
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• 2023

Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.

• 대한환경공학회지
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• 제37권3호
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• pp.137-144
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• 2015

본 연구는 다변량 통계기법 중 하나인 주성분분석을 활용하여 실시간으로 수질이상 유무를 판단할 수 있는 경보시스템 개발을 목적으로 하였다. 본 연구에서는 다변량 분석 방법 중 수질항목 간의 상관성을 고려한 주성분 분석 방법을 실시간으로 수질이상 유무를 판단하는 알고리즘에 적용시켰다. K-water에서 제공하는 실제 자료를 이용하여 수질 이상에 대한 실시간 감시 알고리즘의 활용성을 검증하였으며, 집중호우 등과 같은 기후변화에 따른 수질이상에 대해서는 기상청 자료와의 비교를 통해 검증하였다.

• Nuclear Engineering and Technology
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• 제54권12호
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• pp.4481-4490
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• 2022

In this study, a new rupture disk corrosion test (RDCT) method was developed for real-time detection of stress corrosion cracking (SCC) initiation of Alloy 600 in a primary water environment of pressurized water reactors. In the RDCT method, one side of a disk specimen was exposed to a simulated primary water at high temperature and pressure while the other side was maintained at ambient pressure, inducing a dome-shaped deformation and tensile stress on the specimen. When SCC occurs in the primary water environment, it leads to the specimen rupture or water leakage through the specimen, which can be detected in real-time using a pressure gauge. The tensile stress applied to the disk specimen was calculated using a finite element analysis. The tensile stress was calculated to increase as the specimen thickness decreased. The SCC initiation time of the specimen was evaluated by the RDCT method, from which result it was found that the crack initiation time decreased with the decrease of specimen thickness owing to the increase of applied stress. After the SCC initiation test, many cracks were observed on the specimen surface in an intergranular fracture mode, which is a typical characteristic of SCC in the primary water environment.

• 시스템엔지니어링학술지
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• 제13권2호
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• pp.9-17
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• 2017

Concept development of a real-time Field Programmable Gate Array (FPGA)-based switched Ethernet data communication network for the Man-Machine Interface System (MMIS) is presented in this paper. The proposed design discussed in this research is based on the systems engineering (SE) approach. The design methodology is effectively developed by defining the concept development stage of the life-cycle model consisting of three successive phases, which are developed and discussed: needs analysis; concept exploration; and concept definition. This life-cycle model is used to develop an FPGA-based time-triggered Ethernet (TTE) switched data communication network for the non-safety division of MMIS system to provide real-time data transfer from the safety control systems to the non-safety division of MMIS and between the non-safety systems including control, monitoring, and information display systems. The original IEEE standard 802.3 Ethernet networks were not typically designed or implemented for providing real-time data transmission, however implementing a network that provides both real-time and on-demand data transmission is achievable using the real-time Ethernet technology. To develop the design effectively, context diagrams are implied. Conformance to the stakeholders needs, system requirements, and relevant codes and standards together with utilizing the TTE technology are used to analyze, synthesize, and develop the MMIS non-safety data communication network of the APR1400 nuclear power plant.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제25권3호
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• pp.233-249
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• 2022

측정은 학교 수학과 실생활 양측에서 중요하게 역할한다. 측정에서 다루는 여러 속성 중 길이는 가장 먼저 학습하는 것으로 측정의 기초가 되며 시간은 고유의 방법으로 측정하는 가장 추상적인 속성이라는 특징을 가지고 있다. 본 연구는 초등 수학 교과서와 실생활에서 나타나는 표현을 분석하여 학교 수학에서 학습하는 길이와 시간이 실생활에서 표현되는 것과 어떠한 차이가 있는지 살펴보고 앞으로의 교수 학습 과정에 대한 시사점을 도출하고자 하였다. 분석 결과, 길이에 대한 개념은 실생활과 학교 수학에서 같은 의미로 사용되고 있으나 거리, 깊이, 높이 등의 용어가 정의되지 않은 채 혼용되고 있었으며 어림값의 표현이 단편적인 형태로 제시되었다. 또한, 시간을 측정하기 위하여 복잡한 체계를 이해해야 하고 시각과 시간을 표현할 때 '분, 초' 등의 단위가 동일하게 사용되는 등 학생들이 혼란을 느끼기 쉬운 부분이 존재하였다. 따라서 길이와 시간에 대한 표현의 차이를 인식하고 지도하여 학생들이 학교 수학과 실생활을 연결하고 측정 개념에 대하여 폭넓게 이해할 수 있도록 초등 수학 교과서 및 교수 학습 과정의 구성 방향을 고민할 필요가 있다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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• pp.161-163
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• 2012

Recently on Value Engineering(VE) and Life Cycle Cost(LCC) social interests is increasing. The government Turn Key, BTL projects and public works projects, such as VE and LCC Analysis on the value and economic analysis is mandatory. And accordingly the VE and LCC analysis is underway for the various studies. However, there is a problem existing in the LCC analysis. Worth the cost varies according to the flow of time. However, the real interest rate during the LCC analysis of buildings in calculation time for interest rates and inflation are not considering the value of the flow. In other words, a few years using the average value of the deterministic analysis method has been adopted. These costs for the definitive analysis of the cost of an uncertain future, unforeseen changes resulting hazardous value. In this study of the last 15 years interest rates and inflation targeting by using Monte-Carlo Simulation is to perform probabilistic analysis. This potential to overcome uncertainties of the cost of building a more scientific and LCC Estimation of the probability value of the real interest rate is presented.

• 보존과학연구
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• 통권32호
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• pp.171-183
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• 2011

본 연구는 충청남도 부여군 규암면 오수리 유적에서 발굴된 인골 4개체를 대상으로 조직학, 분자유전학, 골화학 분석 등 종합적인 연구를 통해 이들의 상관관계를 규명하고자 하였다. 실체현미경을 통해 인골 시료의 골조직 단면 구조를 관찰함으로써 각 시료의 조직학적 보존 상태를 단계별로 구분하였고, 잔존하는 단백질의 보존 상태는 콜라겐을 추출하여 수율을 측정함으로써 평가하였다. 또한 미토콘드리아 cytochrome b 유전자를 이용한 실시간 유전자 증폭법을 이용하여 각각의 인골 시료에 잔존하는 미토콘드리아 DNA의 상대적 보존량 및 복제수를 분석하였으며, 미토콘드리아 과변위부위의 염기서열을 동정하였다. 본 연구 결과 인골 시료의 조직학적 보존정도, 콜라겐 단백질의 잔존량, 미토콘드리아 DNA의 복제수는 상호 긍정적인 연관관계로 나타났다. 이 연구는 출토 인골의 생물 화학적 분석 가능성을 예측하기 위한 특성지표 연구의 중요자료로 활용 될 수 있을 것이다.