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대학 비대면 실시간 온라인 화상강의에서 학습 몰입 및 학습 성과에 영향을 미치는 요인
황선희 ( Hwang Seonhee ),박매란 ( Park Mae-ran ) 한국멀티미디어언어교육학회 2021 멀티미디어 언어교육 Vol.24 No.2
The study aims to examine of factors affecting the relationship between Korean university students' learning flow and learning outcomes, and the correlations among these factors under the real-time online learning conditions. The participants, 49 college students from a university in Busan, were asked to complete a questionnaire regarding their perception of the given factors. The collected data was then analyzed by using correlation analysis and regression analysis. The results were as follows: first, significant correlations were discovered among learners' participation in non-face-to-face online real-time classes, self-directed learning, communication between learners, sharing of information, learning flow, and digital tool use. On the other hand, no correlation was reported between self-directed learning and communication specifically. Second, regarding factors affecting learning flow and learning performance, the relationship between digital tool use and communication was found to be statistically significant, while that between self-directed learning and sharing information was not. The results of this study cannot be definitive due to its limitations, but it might still show the relationships among factors involved in online real-time classes. A further look at the design and operation of online classes conducted by different instructors might reveal a truer picture of what is going on under these conditions.
딥러닝 기반의 객체 검출 및 거리 추정을 위한 카메라 센서 구현에 관한 연구
황선희(Seonhee Hwang),최지훈(Jihun Choi),박하선(Hasun Park),김종혁(Jonghyuk Kim) 한국자동차공학회 2022 한국 자동차공학회논문집 Vol.30 No.8
Autonomous Emergency Braking(AEB), one of the core technologies of Advanced Driver Assistance System (ADAS), provides drivers convenience and is effective for safety driving. As the number of AEB-equipped vehicles increases, it is expected that requests for analyzing traffic accidents involving AEB-equipped vehicles will rise. In this study, a deep learning-based camera sensor was developed to implement the function of the AEB in Prescan for reconstruction and analysis of traffic accidents related to AEB. The deep learning algorithm, YOLO(You Only Look Once), was used to detect a front vehicle and to obtain the coordinates of the bounding box. The intrinsic parameters of the camera were calculated through camera calibration. The relative distance to the front vehicle was estimated using the coordinates of the bounding box and the calibrated camera parameter. The intrinsic parameters were compared within the standard error range to find the most similar value to the relative distance measured by the idealized sensor. Based on the results, the optimal parameter was obtained and a more accurate relative distance could be estimated using these values.
Joung-Ho Lee,JeeNa Hwang,Seonhee Lee,Won-Hee Kang,Martin de Vos,Byoung-Cheorl Kang 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07
In plants, eukaryotic translation elongation factor 1B (eEF1B) is composed of three subunits, eEF1Bα, eEF1Bβ and eEF1B γ. Two subunits are nucleotide exchange subunits (eEF1Bα and eEF1Bβ) and one is a structural protein (eEF1Bγ). In the previous study, eEF1B was identified as a common host factor for several RNA viruses. To test which subunit of eEF1B is essential for Potato virus X (PVX) replication, the virus-induced gene silencing (VIGS) for eEF1Bα, β or γ was performed in Nicotiana benthamiana and green fluorescent protein (GFP)-tagged PVX was inoculated. PVX-GFP accumulation was decreased when eEF1Bβ or γ subunit was silenced, whereas eEF1Bα had no effect on PVX-GFP accumulation in inoculated leaves. Targeting induced local lesions in genome (TILLING) was performed using a Capsicum annuum EMS population to test whether mutations in eEF1Bβ subunit affect virus infection in pepper. We obtained 81 eEF1Bβ mutant lines consisted of 16,759 individuals. These mutant lines are being tested to validate the function of eEF1B β in PVX replication.
An Approach for Reducing Computational Time for Real-Time Autonomous Vehicle Tracking
TaeWook Hwang,Seonhee Kim,Sujeong Kim,Gilsang Jang,Jihye Park,Seongha Park,Eric T. Matson,Kyungsup Kim 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
Autonomous vehicles are familiar to public in daily life nowadays. For a recreational purpose, autonomous vehicles such as drones are commonly adopted for people. However with the easy accessibility, those autonomous vehicles can be a threat to anyone. Moreover, to detect and prevent those possible threats, real-time detection and tracking system is required. With the requirements, we propose a real-time communication between post-processing device and autonomous vehicle tracking sensor, which is a radar and a noise reduction method for post-processing. With the proposed method, a Frequency Modulated Continuous Wave (FMCW) radar can be utilized for real-time monitoring of autonomous vehicle. In this paper, we used an audio file recorded through a FMCW radar for distance tracking. The recorded audio data were processed by Inverse Fast Fourier Transformation (IFFT) and noise cancellation. We propose a data selection formula for faster IFFT processing and a noise reduction method in real-time communication. Also we propose a simple Android application to receive the processed data that sent to as distances of the target autonomous vehicle in time in real-time, so that a user can conveniently watch an autonomous vehicle near the radar.
우리나라 16개 시도의 주택가격과 주택담보대출 간의 연계성
박선희 ( Seonhee Park ),황진영 ( Jinyoung Hwang ) 한국재정정책학회 2017 財政政策論集 Vol.19 No.4
본 연구에서는 2000년대 이후 꾸준히 상승하고 있는 주택가격과 가계대출(특히 주택담보대출) 간의 관계를 조명한다. 구체적으로 본 연구는 우리나라 16개 시도를 대상으로 2008∼2015년의 균형 패널자료를 이용해 주택가격(매매 및 전세)의 수준 및 증감률이 주택담보대출(예금은행 및 비은행예금취급기관) 증감률에 미치는 영향을 분석하였다. 실증분석 결과를 요약하면 다음과 같다. 먼저 예금은행의 주택담보대출 증감률에 대해 주택가격의 증감률은 모형이나 추정방법 등의 선택에 관계없이 통계적으로 유의한 양(+)의 영향을 미치는 반면, 주택가격 수준을 반영하는 추정계수의 통계적 유의성은 추정모형의 선택에 의존하였다. 이는 예금은행의 주택담보대출 증감률에 대해서는 주택가격의 수준에 비해 그 증감률이 더 유의한 영향을 미칠 수 있음을 의미한다. 또한 주택매매가격의 수준과 증감률은 추정방법의 선택에 관계없이 비은행예금취급기관의 주택담보대출 증감률에 대해 각각 통계적으로 유의한 음(-)과 양(+)의 영향을 미치는 것으로 추정되었다. 그러나 주택전세가격의 수준과 증감률은 비은행예금취급기관의 주택담보대출 증감률에 통계적으로 유의한 영향을 미치지 않는 것으로 관측되었다. 이상의 결과는 주택의 담보가 강할수록 비은행예금취급기관에 비해 예금은행의 대출이 쉽게 이루어지고 있음을 반영한다. The purpose of this study is to investigate the impacts of the level and change rate of housing prices (both owner and rental housing prices) on the change rate of mortgage loans, using the balanced panel data over the period 2008∼2015. The empirical results are summarized as follows. First of all, the change rate of housing price has a statistically significant and positive impact on the change rate of the mortgage loan of deposit bank, regardless of the model specifications. However, the statistical significances of the estimation coefficients of housing price itself depend on the estimation models. This implies that the impact of the change rate of housing price on the deposit bank’s mortgage loan may be more significant compared with that of housing price itself. In addition, the level and change rate of owner housing price are estimated to have negative and positive impacts on the change rate of mortgage loan in non-bank depository institutions, respectively, regardless of the estimation methods. However, both the level and change rate of the rental housing price does not have significant impacts on the change rate of mortgage loan in non-bank depository institutions. It suggests that the higher mortgage value of the house, the easier it will be to get a mortgage loan from deposit banks rather than non-bank depository institutions.
Recent advances of nanostructure implemented spectroscopic sensors—A brief overview
Oh, Youngjin,Kim, Kyujung,Hwang, Seonhee,Ahn, Heesang,Oh, Jin-Woo,Choi, Jong-ryul Taylor Francis 2016 Applied spectroscopy reviews Vol.51 No.7
<P>By the conjugation of requirements of high-performance sensing platforms and developments of nanotechnology, various nanostructure implemented photonic, spectroscopic sensors have been investigated. In this review article, we address 3 types of nanostructure implemented optical sensor techniques-localized surface plasmon resonance (LSPR) sensors, extraordinary optical transmission (EOT) based sensors, and Raman-based spectroscopic sensors-and recent advances of the nanostructure assisted sensors arranged by 2 important issues: the employment of novel nanostructures and the application of newly investigated fabrication techniques for larger sensing area.</P>