• Journal of Life Science
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• v.28 no.7
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• pp.819-826
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• 2018

Orostachys japonicus (OJ) is a medicinal herb with immunoregulatory, anti-aging, anti-oxidative, and many other therapeutic properties. The purpose of this study was to elucidate the anti-cancer property of cultivated OJ. SW480 cell viability was significantly reduced by cumulative exposure to OJ extract. We also observed inhibitory effects of OJ after 72 hr through the growth and migration of SW480 cells using scratch assay. SW480 cells in OJ-free medium began to move into the scratch site at 24 hr; however, cells in medium containing OJ did not migrate into the scratch site until 48 hr. Male C57BL/6 mice (4 weeks old) were orally administered OJ extract for 31 days before injection of SW480 cells. At 7, 14, and 28 days after subcutaneous injection of SW480 cells, tumor weight and volume were analyzed. The body weight of the OJ-treated group was continuously increased during administration of the OJ extract relative to the control group. Injection of SW480 cells caused a reduction in body weight in all groups; however, the OJ-treated group exhibited a significant increase in body weight after 14 days. Tumor weight and volume were lower in the OJ-treated group than in the control group after 28 days. Although these results suggest that OJ suppresses the proliferation and migration of human colon cancer cells, additional studies are required to provide preclinical evidence before launching clinical trials evaluating OJ as an anti-cancer biohealth product.

• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.433-442
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• 2016

The purpose of this paper is to prove the effect of flipped learning on learning motivation in software education. For this study, the experiment was consisted of experimental group and control group for university of education. They learned software education using Scratch programming for 10 weeks. The experimental group was applied to the flipped learning with online software courses. As a result, post motivation in the experimental group was significantly increased compared to the pre learning motivation. Post- learning motivation is also the experimental group were higher learning motivation significantly compared to the control group. It is hoped this flipped learning as an effective learning strategies base expansion in primary and secondary education as well as high education teaching software in the future.

• The Journal of Korean Association of Computer Education
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• v.23 no.3
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• pp.41-47
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• 2020

Computational Thinking(CT) is drawing attention as a core competency required for future talent in the 21st century. Software education for improving CT ability at home and abroad is in full swing. Among them, problem-solving programming education helps to improve CT ability. The CT-TDPS learning model follows the decomposition, abstraction thinking process, which modularizes complex problems, and the Agile development method, which is an iterative and incremental programming method to implement it. In this study, we tried to confirm the improvement of CT ability by applying CT-TDPS learning model to problem solving programming education using Scratch. As a result of the study, it was confirmed that in the problem solving programming education using the CT-TDPS learning model, it improved in all aspects of computing concept, computing performance, and computing perspective, which are sub-factors of CT ability. In addition, it was confirmed that there was a significant difference in the experimental group as a result of the t-test on the Dr.Scratch automatic evaluation result.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.325-327
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• 2015

Startup in the aging society is much harder than finding employment. However, we did an experimental research that the elderly are able to develop in the field of IoT via this education. Through this IT startup education, those people who can do develop and implement and they are able to start new business by develop new item. Installing education between hardware and software about Arduino and Scratch's methods have great effect on IT startup education for the elderly before solving problem which have existing programming education. While the IT startup education through IoT is more difficult subject compared to general education subject, this paper shows an easily accessible research outcome for the elderly through startup education. This paper proved that practical uses through the results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2710-2716
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• 2015

Startup in the aging society is much harder than finding employment. However, we did an experimental research that the elderly are able to develop in the field of IoT via this education. Through this IT startup education, those people who can do develop and implement and they are able to start new business by develop new item. Installing education between hardware and software about Arduino and Scratch's methods have great effect on IT startup education for the elderly before solving problem which have existing programming education. While the IT startup education through IoT is more difficult subject compared to general education subject, this paper shows an easily accessible research outcome for the elderly through startup education. This paper proved that practical uses through the results.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.1015-1024
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• 2021

There are various educational programming environments in which students can train artificial intelligence (AI) using block-based programming languages, such as Entry, Machine Learning for Kids, and Teachable Machine. However, these programming environments are designed so that students can train AI through a separate menu, and then use the trained model in the code editor. These approaches have the advantage that students can check the training process more intuitively, but there is also the disadvantage that both the training menu and the code editor must be used. In this paper, we present a novel artificial intelligence block that can perform both AI training and programming in the code editor. While this AI block is presented as a Scratch block, the training process is performed through a Python server. We describe the blocks in detail through the process of training a model to classify a blue pen and a red pen, and a model to classify a dental mask and a KF94 mask. Also, we experimentally show that our approach is not significantly different from Teachable Machine in terms of performance.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2004.04a
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• pp.140-145
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• 2004

국내외 제지산업의 경쟁이 날로 치열해지는 상황에서 제지업체들은 생존 및 성장 발전을 하기 위해 원가절감과 품질향상이라는 상반된 과제를 동시에 추진해야 하는 어려운 상황에 놓여 있다. 원가절감은 다각도로 전 부문에 걸쳐 진행되고 있는데 여러 가지 방안 중 현실적으로 가장 유효한 방법 중 하나가 생산성 향상이다. 또한 생산성 향상은 설비증설 없이 생산량을 증가시켜 신규 자본 투자 없이 규모의 경제를 달성하는데 기여한다. 본 연구에서는 코터 생산성 향상을 위해 코터속도를 증가시킬 경우 초래될 수 있는 다양한 작업성 문제들(스트리크, 블리딩, 스크래치, 도공량 제어 문제 등) 중에서 블리딩 발생원인 및 감소방안에 대한 문제를 중점적으로 다루고자 한다. 문제에 대한 현실적인 접근을 위해 Pilot Coater를 비롯하여 고전단점도계, 보수도 측정기, 안정성 측정기 등의 다양한 실험설비들을 이용하였다. 특히 Pilot Coater의 경우 1500m/min의 고속운전에서 블리딩을 현장과 동일하게 재현하는 것으로 확인되었다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1539-1540
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• 2015

본 연구는 가공 활선 송전선로의 이상 진단을 위한 시스템 개발에 관한 것으로 송전 철탑 경간내에 설치되어 있는 송전선을 주행하며 전선의 내부 또는 외부의 열화를 확인하기 위한 것이다. 본 연구에 의한 시스템은 지상으로부터 30m 이상의 높이에서 설치되어 운행되기 때문에 바람에 의해 낙하되지 않도록 구성하였다. 또한 복도체 또는 4도체 선로를 주행하도록 설계하였으며 345kV 고압에서도 전계 및 자계의 영향을 받지 않도록 설계하였다. 전선의 이상 검지를 위해서 카메라를 설치하여 얻어진 데이터를 영상 처리 하여 이상 부위에 대한 에너지 변화를 관찰하여 이상 유무를 판단하도록 하였다. 완성된 시스템은 설치 및 이동을 위해서 경량화 시켰으며 분해 조립이 쉽도록 구성하였다. 본 시스템의 현장 적용에 의한 실험 결과 1m/sec의 이동 속도에서 1mm 이하의 스크래치에 대하여 검출이 가능하였다.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2061-2063
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• 2002

상용 DVD 플레이어에서 불량디스크에 대한 재생성능을 향상시키는 기술은 제조업체에게는 다른 어떤 것보다 우선하는 중요한 성능상의 지표이다. 불량디스크를 유형별로 나누어 보면 스크래치 디스크, 지문 디스크, 틸트 불량디스크 등으로 구분할 수 있다. 본 논문에서는 이러한 불량디스크 중 틸트 불량 디스크에 대한 플레이어의 재생성능을 향상시키는 기법을 제안한다. 즉 디스크의 재생도중 검출되는 지터데이터를 궤환하여 별도로 구동되는 틸트모터를 제어함으로써 재생성능의 향상을 꽤한다. 또한 실험을 통하여 그 유효성을 검증한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.717-718
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• 2022

본 연구에서는 예비교사의 인공지능 융합교육 역량 강화를 위한 캡스톤 디자인 기법 활용 인공지능 융합교육 프로그램을 개발하고 효과를 검증하였다. 개발된 교육 프로그램은 예비교사들이 스크래치 프로그래밍과 머신러닝포키즈, 캡스톤 디자인의 이해를 바탕으로, 인공지능 활용 융합 수업을 위한 주제 선정, 수업 설계 및 개발 후, 마이크로티칭을 하고 동료 평가 및 피드백을 하도록 조직되었다. 이는 2022년 1학기 K대학의 교양 강좌를 수강하는 예비교사들에게 처치되었다. 그 결과, 실험 대상자들의 인공지능 교수효능감의 사전-사후 t-검정에서 통계적으로 유의한 효과가 있음을 확인되었다.