• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.17-17
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• 2019

진퍼리사초는 한반도 중부 이북에 분포하고, 군락 자생지는 강원도 동해안 석호 주변 모래땅 1곳인 것으로 보고되고 있다. 따라서 본 연구는 진퍼리사초 현지외보전을 위한 대량증식 연구의 일환으로 가장 효과적인 파종 시기를 구명하고자 수행하였다. 종자의 최적 발아조건을 찾기 위해 배양상 온도조건을 항온(30, 25, 20, 15, $5^{\circ}C$)과 변온(15/30, 20/10, $25/15^{\circ}C$) 총 8가지 조건으로 설정하여 발아율을 매일 측정하였다. 광조건은 명/암을 매일 12시간씩 반복하였으며 모든 실험은 국립백두대간수목원 발아실험실의 생장상에서 진행하였다. 실험결과, 항온조건에서 발아율은 $30^{\circ}C$에서 $39{\pm}7.5%$로 가장 높게 나타났고, $20^{\circ}C$ ($28{\pm}4.3%$), $25^{\circ}C$ ($24{\pm}3.7%$) 순으로 나타났으며, $15^{\circ}C$, $5^{\circ}C$에서는 발아하지 않았다. 한편, 변온조건에서의 발아율은 $25/15^{\circ}C$에서 $60{\pm}5.9%$로 가장 높게 나타났고, $15/30^{\circ}C$ ($43{\pm}4.1%$), $20/10^{\circ}C$ ($26{\pm}3.8%$) 순으로 나타났다. 따라서 진퍼리사초의 종자 발아는 항온보다 변온에서 잘 이루어졌으며, $25^{\circ}C$이상의 온도가 효과적인 것으로 나타났다. 이러한 결과를 바탕으로 가장 효과적인 파종 시기를 추정할 때, 낮 기온이 평균 $25^{\circ}C$이상이며, 일교차가 $10^{\circ}C$ 정도인 초여름이 가장 적절할 것으로 여겨진다.

• The Korean Journal of Archival Studies
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• no.43
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• pp.43-70
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• 2015

The value and validity of elite oral materials have been questioned because of their gaps with 'fact'. The purpose of this article is to analyze these gaps and to propose some solutions that can reduce the gaps. According to the analysis of this article, there are three types of the gaps that qualitatively differ from each other. The first type of the gaps is produced in the process of generation of memory. This type is made because informants cognize and memorize the facts that exist outside themselves. Selective cognition, selective memory and individual experience come under this category. The second type is produced in the process of preserving the memory. Forgetting and memory transformation are main examples of this type. The third type is produced in the process of the interviews with the informants. False statements or lies fall into this category. The main conclusions are as follows. 1) all gaps in oral materials are not necessarily negative. It is because Some of these gaps- the first and the second type- are not only parts of the real world but also very useful for interpreting the world. 2) The third type of the gaps are very harmful and it is need to be eradicated or reduced. For this, this article proposes some solutions.

• Journal of Industrial Convergence
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• v.16 no.1
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• pp.35-40
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• 2018

The procedural generation algorithm is an algorithm that automatically generates a content to be used in a game by repeatedly executing a series of rules. As the size of the game increases, the amount of content used in the game increases. Accordingly, artificial intelligence research is actively conducted to automatically generate game contents using game artificial intelligence such as procedural generation. In this paper, we propose an algorithm to create 3D game world using procedural generation. The proposed algorithm generates a two-dimensional contour in which the path is naturally connected using Perlin-Noise whose noise is gradually changed. A three-dimensional Height-Map is created based on the generated two-dimensional contour lines. The generated Height-Map show that the shape of the map is normal and that the player is able to move around all the sections as in the game world created by hand. In the future, we will improve the performance of algorithms and apply them to game.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.3
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• pp.419-432
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• 2019

Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

• Education of Primary School Mathematics
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• v.22 no.4
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• pp.261-280
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• 2019

This study is a qualitative study on the case of teaching mathematics between parents and children. 12 lesson units were applied to the 5th grade elementary school child for the first semester, 2019. The purpose of this study was to identify conceptual understanding in the area, the types of problems that child felt difficult during the learning and parents' advantages and difficulties in this setting. For this study, video recording and voice recording were collected for each lesson class. The concept of the area was recognized correctly, the awareness of reconstruction became clear, and the concept of partitioning, unit iteration and structuring an array was more clearly rebuilt. He showed difficulty in conversion between units of the area, in displaying height of the shape whose height is displayed outside and drawing type of figure with same area after the value of the area was offered. In the learning situation of parents and children, parents who are researchers have the advantage of being able to customize up to their children and being free from time and cost constraints. There were difficulties in controlling negative emotion toward the child, determining the level of the children, distribution the class time and deciding the degree of intervention. Furthermore, research on parenting and child-to-parent teaching in mathematics is recommended.

• Smart Media Journal
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• v.9 no.4
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• pp.66-72
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• 2020

As the online education market expands, educational contents with various presentation methods are being developed and released. In addition, it is imperative to develop content that reflects the usability and user environment of users who use this educational content. However, for qualitative growth of contents that will support quantitative expansion of markets, existing model analysis methods are urgently needed at a time when development direction of newly developed contents is secured. In this process of content development, a typical model for setting development goals is needed, as the rules of the prototype affect the entire development process and the final development outcome. It can also provide a positive benefit that screens the issue of performance dualization between processes due to the absence of communication between a single entity or between a number of entities. In the case of AR-based educational content which is effective to secure data necessary for development by securing samples of similar categories because there are not enough ready-made samples released. Therefore, a big data statistical analysis service is needed that can easily collect data and make decisions using big data. In this paper, we would like to design analysis services that enable the selection and detection of intuitive multidimensional factors and attributes, and propose big data-based statistical analysis services that can assist cooperative activities within an organization or among many companies.

• Journal of Korean society of Dental Hygiene
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• v.22 no.5
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• pp.323-332
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• 2022

Objectives: This study aims to confirm the educational necessity and utilization of VR media. And it was conducted to prepare basic data necessary for the use of VR in various dental hygiene education in the future and the development of innovative practical training courses. Methods: Before and after using VR in oral radiology practice classes, learning interest (4 items), learning commitment (9 items), learning motivation (5 items), educational media preference (4 items), and satisfaction (10 items) were investigated and analyzed. Friedman two way ANOVA by ran a nonparametric analysis corresponding to repeated measures ANOVA was performed. The statistical significance level was 0.05. Results: It was found that there were statistically significant differences in learning interest, learning immersion, and learning motivation according to the type of oral radiology practice education medium (p<0.05). Conclusions: VR is expected that the use of learning media using VR will lead to students' interest, immersion, and learning motivation in class, and that positive learning effects on VR education media can be sufficiently obtained.

• Korean Journal of School Psychology
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• v.16 no.2
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• pp.207-230
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• 2019

This study examined the effect of Attention Feedback Awareness and Control Training(A-FACT) on attention bias and generalized anxiety symptoms in college students. A total of 31 college students with at least 10 points on the Generalized Anxiety Disorder 7-item (GAD-7) scale or at least 56 points on the Korean version of the Penn State Worry Questionnaire (K-PSWQ) with attention bias were randomly assigned to one of three groups: A-FACT( n = 11), Attention Bias Modification (ABM)(n = 10) and Active Placebo Control (APC)(n = 10). Participants in A-FACT group received real-time feedback on attention bias based on their Baseline Neutral Response time(BNR) during A-FACT using a dot probe task. Participants in the ABM group received standard ABM, and those in the APC performed a dot probe task that they were informed was a program to reduce attention bias, but feedback was not provided. A total of eight sessions was conducted twice a week over a 4-week period. After every two sessions, GAD-7, K-PSWQ and K-STAI were rated. The effect of attention bias modification training was rated by changes in the Attention Bias Score(ABS), and in GAD-7, K-PSWQ and K-STAI scores. The results of repeated measure ANOVA indicated that the A-FACT group showed a significant decrease in ABS as well as in GAD-7, K-PSWQ and K-STAI scores compared to the other groups. Current results suggest that self-regulatory control of attention, that is, recognition of bias through feedback in A-FACT, may be effective in alleviating attention bias and generalized anxiety symptoms by recognizing bias through feedback on bias in attention bias modification training.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.85-85
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• 2020

껍질째 먹는 청포도 품종인 '샤인머스켓'은 망고포도라고 불릴 정도로 단맛이 강하고 풍부한 머스켓향을 가지는 것이 특징이다. 또한 포도알이 크고 무핵처리에 의해 씨가 제거되어 소비자 만족도가 높아 최근 각광받고 있는 포도 품종이다. 샤인머스켓에 대한 국내연구는 주로 재배조건에 따른 과실특성 위주로 보고되고 있어, 본 연구는 소비가 늘고 있는 샤인머스켓의 기능성에 대한 기초자료를 제시하고자 부위별 추출조건에 따른 총폴리페놀, 총플라보노이드 함량 및 항산화 활성을 조사하였다. 샤인머스켓은 2019년 11월에 경북 상주지역에서 생산된 것으로, 과피와 과육의 2가지로 나누어 동결건조하였으며, 추출용매(증류수, 에탄올, 메탄올)와 추출용매농도(30%, 50%, 70%, 100%) 조건에 따라 시료 무게대비 10배의 용매를 가한 후 초음파방법으로 2시간 추출하였으며, 이를 2회 반복하였다. 부위별 총폴리페놀과 총플라보노이드 함량은 과육보다 과피에서 유의적으로 높게 나타났으며, 항산화 활성 또한 과피에서 월등히 높은 값을 나타냈다. 추출조건에 따른 생리활성 물질의 함량과 항산화 활성은 과육과 과피에서 다르게 나타났는데, 과육의 경우 메탄올 추출 시 활성이 높게 나타난 반면, 과피는 에탄올 추출 조건에서 활성이 더 높게 나타났다. 과육의 경우, 70% 메탄올 추출 조건에서 가장 높은 활성을 보였으며, 총폴리페놀 0.99 mg CE/g dw, 총플라보노이드 0.31 mg CE/g dw, DPPH 라디칼 소거능 2.94 mM TE/g dw, ABTS 라디칼 소거능 6.82mM TE/g dw, ORAC 11.40 mM TE/g dw, FRAP 4.92 mM Fe(II)/g dw이었다. 이와 달리 과피는 30% 에탄올 추출 조건에서의 활성이 유의적으로 높게 나타났으며, 총폴리페놀 10.23 mg CE/g dw, 총 플라보노이드 5.22 mg CE/g dw, DPPH 라디칼 소거능 44.72 mM TE/g dw, ABTS 라디칼 소거능 123.25 mM TE/g dw, ORAC 208.38 mM TE/g dw, FRAP 96.24 mM Fe(II)/g dw이었다. 이상의 결과를 볼 때, 껍질째 샤인머스켓을 섭취하는 것은 기능성 측면에서 유익하며, 추후 부위를 나누지 않은 샤인머스켓을 대상으로 추출조건 설정 및 기능성 평가에 대한 연구를 진행할 예정이다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.37-46
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• 2024

This study investigates the evolution of concrete damage due to chloride-induced steel corrosion through Impact-echo (IE) testing. Three reinforced concrete specimens, each measuring 1500 mm in length, 400 mm in width, and 200 mm in thickness, were fabricated using three concrete mixture proportions of blended cement types: ordinary Portland cement, ground granulated blast-furnace slag and fly ash. Steel corrosion in the concrete was accelerated by impressing a 0.5 A current following a 35-day cycle of wet-and-dry saturation in a 3% NaCl solution. Initial IE data collected during the saturation phase showed no significant changes, indicating that moisture had a minimal impact on IE signals and highlighting the slow progress of corrosion under natural conditions. Post-application of current, however, there was a noticeable decline in both IE peak frequency and the P-wave velocity in the concrete as the duration of the impressed current increased. Remarkably, progressive monitoring of IE proves highly effective in capturing the critical features of steel-corrosion induced concrete deterioration, such as the onset of internal damages and the rate of damage propagation. These results demonstrate the potential of progressive IE data monitoring to enhance the reliability of diagnosing and prognosticating the evolution of concrete damage in marine environment.