벼 Brassinosteroid Insensitive 1 Receptor Kinase의 기능에 관한 연구

연진욱,김회택,노일섭,오만호 한국식물생명공학회 2016 JOURNAL OF PLANT BIOTECHNOLOGY Vol.43 No.1

Brassinosteroids (BRs) are essential plant steroid hormones required for cell elongation, plant growth, development and abiotic and biotic stress tolerance. BRs are recognized by BRI1 receptor kinase that is localized in the plasma membrane, and the BRI1 protein will eventually autophosphorylate in the intracellular domain and transphosphorylate BAK1, which is a co-receptor in Arabidopsis thaliana. However, little is known of the role OsBRI1 receptor kinase plays in Oryza sativa, monocotyledonous plants, compared to that in Arabidopsis thaliana, dicotyledonous plants. As such, we have studied OsBRI1 receptor kinase in vitro and in vivo with recombinant protein and transgenic plants, whose phenotypes were also investigated. A OsBRI1 cytoplasmic domain (CD) recombinant protein was induced in BL21 (DE3) E.coli cells with IPTG, and purified to obtain OsBRI1 recombinant protein. Based on Western blot analysis with phospho-specific pTyr and pThr antibodies, OsBRI1 recombinant protein and OsBRI1-Flag protein were phosphorylated on Threonine residue(s), however, not on Tyrosine residue(s), both in vitro and in vivo. This is particularly intriguing as AtBRI1 protein was phosphorylated on both Ser/Thr and Tyr residues. Also, the OsBRI1 full-length gene was expressed in, and rescued, bri1-5 mutants, such as is seen in normal wild-type plants where AtBRI1-Flag rescues bri1-5 mutant plants. Root growth in seedlings decreased in Ws2, AtBRI1, and 3 independent OsBRI1 transgenic seedlings and had an almost complete lack of response to brassinolide in the bri1-5 mutant. In conclusion, OsBRI1, an orthologous gene of AtBRI1, can mediate normal BR signaling for plant growth and development in Arabidopsis thaliana.

벼 Brassinosteroid Insensitive 1 Receptor Kinase의 기능에 관한 연구

연진욱,김회택,노일섭,오만호,Yeon, Jinouk,Kim, Hoy-Taek,Nou, Ill-Sup,Oh, Man-Ho 한국식물생명공학회 2016 식물생명공학회지 Vol.43 No.1

Brassinosteroids (BRs) are essential plant steroid hormones required for cell elongation, plant growth, development and abiotic and biotic stress tolerance. BRs are recognized by BRI1 receptor kinase that is localized in the plasma membrane, and the BRI1 protein will eventually autophosphorylate in the intracellular domain and transphosphorylate BAK1, which is a co-receptor in Arabidopsis thaliana. However, little is known of the role OsBRI1 receptor kinase plays in Oryza sativa, monocotyledonous plants, compared to that in Arabidopsis thaliana, dicotyledonous plants. As such, we have studied OsBRI1 receptor kinase in vitro and in vivo with recombinant protein and transgenic plants, whose phenotypes were also investigated. A OsBRI1 cytoplasmic domain (CD) recombinant protein was induced in BL21 (DE3) E.coli cells with IPTG, and purified to obtain OsBRI1 recombinant protein. Based on Western blot analysis with phospho-specific pTyr and pThr antibodies, OsBRI1 recombinant protein and OsBRI1-Flag protein were phosphorylated on Threonine residue(s), however, not on Tyrosine residue(s), both in vitro and in vivo. This is particularly intriguing as AtBRI1 protein was phosphorylated on both Ser/Thr and Tyr residues. Also, the OsBRI1 full-length gene was expressed in, and rescued, bri1-5 mutants, such as is seen in normal wild-type plants where AtBRI1-Flag rescues bri1-5 mutant plants. Root growth in seedlings decreased in Ws2, AtBRI1, and 3 independent OsBRI1 transgenic seedlings and had an almost complete lack of response to brassinolide in the bri1-5 mutant. In conclusion, OsBRI1, an orthologous gene of AtBRI1, can mediate normal BR signaling for plant growth and development in Arabidopsis thaliana.

다이내믹 토픽 모델링의 의미적 시각화 방법론

연진욱,부현경,김남규 한국지능정보시스템학회 2021 한국지능정보시스템학회 학술대회논문집 Vol.2021 No.12

온도 보상 과충전 보호 간접 측정 회로

연진욱,오인열 대한전기학회 2023 전기학회논문지 Vol.72 No.8

Recently, many problems have been caused by battery fires. The existing BMS measured the voltage of each cell of the battery through the physical connection between the battery and the control module. However, if a battery with up to 1000 VDC becomes inoperable due to an external factor, the battery is damaged, and accordingly, a large current of the battery breaks the control unit of the BMS with 5 VDC to 24 VDC, putting the BMS inoperable. If the BMS continues to operate the battery inoperable, it poses a risk of battery fire. This paper physically separated the battery and control module by measuring the battery voltage depending on the strength of the LED by connecting the battery and LED and designed it to have an error within 5 mV even if a temperature changes from 20 to +60 . In addition, it was designed 刪 ? ? to operate at a low output level of 200 W to 360 W ? ? using the subthreshold section of the LED. This paper designed a slab board that directly measures battery voltage and operates by a master board that can handle up to 256 pieces. It is configured to correspond to a system composed of a plurality of battery cells.

다이내믹 토픽 모델링의 의미적 시각화 방법론

연진욱(Jinwook Yeon),부현경(Hyunkyung Boo),김남규(Namgyu Kim) 한국지능정보시스템학회 2022 지능정보연구 Vol.28 No.1

최근 방대한 양의 텍스트 데이터에 대한 분석을 통해 유용한 지식을 창출하는 시도가 꾸준히 증가하고 있으며, 특히 토픽 모델링(Topic Modeling)을 통해 다양한 분야의 여러 이슈를 발견하기 위한 연구가 활발히 이루어지고 있다. 초기의 토픽 모델링은 토픽의 발견 자체에 초점을 두었지만, 점차 시기의 변화에 따른 토픽의 변화를 고찰하는 방향으로 연구의 흐름이 진화하고 있다. 특히 토픽 자체의 내용, 즉 토픽을 구성하는 키워드의 변화를 수용한 다이내믹 토픽 모델링(Dynamic Topic Modeling)에 대한 관심이 높아지고 있지만, 다이내믹 토픽 모델링은 분석 결과의 직관적인 이해가 어렵고 키워드의 변화가 토픽의 의미에 미치는 영향을 나타내지 못한다는 한계를 갖는다. 본 논문에서는 이러한 한계를 극복하기 위해 다이내믹 토픽 모델링과 워드 임베딩(Word Embedding)을 활용하여 토픽의 변화 및 토픽 간 관계를 직관적으로 해석할 수 있는 방안을 제시한다. 구체적으로 본 연구에서는 다이내믹 토픽 모델링 결과로부터 각 시기별 토픽의 상위 키워드와 해당 키워드의 토픽 가중치를 도출하여 정규화하고, 사전 학습된 워드 임베딩 모델을 활용하여 각 토픽 키워드의 벡터를 추출한 후 각 토픽에 대해 키워드 벡터의 가중합을 산출하여 각 토픽의 의미를 벡터로 나타낸다. 또한 이렇게 도출된 각 토픽의 의미 벡터를 2차원 평면에 시각화하여 토픽의 변화 양상 및 토픽 간 관계를 표현하고 해석한다. 제안방법론의 실무 적용 가능성을 평가하기 위해 DBpia에 2016년부터 2021년까지 공개된 논문 중 ‘인공지능’ 관련 논문 1,847건에 대한 실험을 수행하였으며, 실험 결과 제안 방법론을 통해 다양한 토픽이 시간의 흐름에 따라 변화하는 양상을 직관적으로 파악할 수 있음을 확인하였다. Recently, researches on unstructured data analysis have been actively conducted with the development of information and communication technology. In particular, topic modeling is a representative technique for discovering core topics from massive text data. In the early stages of topic modeling, most studies focused only on topic discovery. As the topic modeling field matured, studies on the change of the topic according to the change of time began to be carried out. Accordingly, interest in dynamic topic modeling that handle changes in keywords constituting the topic is also increasing. Dynamic topic modeling identifies major topics from the data of the initial period and manages the change and flow of topics in a way that utilizes topic information of the previous period to derive further topics in subsequent periods. However, it is very difficult to understand and interpret the results of dynamic topic modeling. The results of traditional dynamic topic modeling simply reveal changes in keywords and their rankings. However, this information is insufficient to represent how the meaning of the topic has changed. Therefore, in this study, we propose a method to visualize topics by period by reflecting the meaning of keywords in each topic. In addition, we propose a method that can intuitively interpret changes in topics and relationships between or among topics. The detailed method of visualizing topics by period is as follows. In the first step, dynamic topic modeling is implemented to derive the top keywords of each period and their weight from text data. In the second step, we derive vectors of top keywords of each topic from the pre-trained word embedding model. Then, we perform dimension reduction for the extracted vectors. Then, we formulate a semantic vector of each topic by calculating weight sum of keywords in each vector using topic weight of each keyword. In the third step, we visualize the semantic vector of each topic using matplotlib, and analyze the relationship between or among the topics based on the visualized result. The change of topic can be interpreted in the following manners. From the result of dynamic topic modeling, we identify rising top 5 keywords and descending top 5 keywords for each period to show the change of the topic. Existing many topic visualization studies usually visualize keywords of each topic, but our approach proposed in this study differs from previous studies in that it attempts to visualize each topic itself. To evaluate the practical applicability of the proposed methodology, we performed an experiment on 1,847 abstracts of artificial intelligence-related papers. The experiment was performed by dividing abstracts of artificial intelligence-related papers into three periods (2016-2017, 2018-2019, 2020-2021). We selected seven topics based on the consistency score, and utilized the pre-trained word embedding model of Word2vec trained with ‘Wikipedia’, an Internet encyclopedia. Based on the proposed methodology, we generated a semantic vector for each topic. Through this, by reflecting the meaning of keywords, we visualized and interpreted the themes by period. Through these experiments, we confirmed that the rising and descending of the topic weight of a keyword can be usefully used to interpret the semantic change of the corresponding topic and to grasp the relationship among topics. In this study, to overcome the limitations of dynamic topic modeling results, we used word embedding and dimension reduction techniques to visualize topics by era. The results of this study are meaningful in that they broadened the scope of topic understanding through the visualization of dynamic topic modeling results. In addition, the academic contribution can be acknowledged in that it laid the foundation for follow-up studies using various word embeddings and dimensionality reduction techniques to improve the performance of the proposed methodology.

자율주행지원 고분해능 360도 Beam-Forming 레이다 Package

연진욱(Jinuk Yeon),오인열(Innyeal Oh) 한국자동차공학회 2022 한국자동차공학회 부문종합 학술대회 Vol.2022 No.6

This paper is to develop a package that can be used for radio detection and ranging (Radar) that support autonomous driving. The developed Radar package supports the beamforming function so that it has 360 degree total beam coverage while having high resolution. In order to implement 360 degree beam coverage, 1x4 array end-fired antenna was displaced at the left and right edges of the package, respectively, and the 1x4 array blocks disposed respectively covered +/-45 degree or more, so that the scan could be supported at 180 degree. For this reason, 360 degrees were supported by two packages. The Yagi-type array antenna forming the end-fired beam radiation has a +/-11 degree beam width in the left and right (E-plane) direction, tiling in units of 8 degree in the beam-forming operation, and an H-plane direction has a wide beam of +/-45 degree or more. As a result of the design, it was confirmed that all array antennas had a reflection loss of -15 dB or less in all frequency bands of 57 to 66 GHz, and a single antenna gain was 4 dBi, and a 1x4 array gain was 8 dBi. The parasitic array director was additionally applied to have a distance margin even under rainfall attenuation conditions to improve up to 11 dBi. It was confirmed that the beam width was +/-11 degree and the 8 degree unit beam tilting through beam-forming to ensure coverage of +/-45 degree or more using 9 beams, enabling a total of 360 degree beam scan with two packages and supporting high resolution Radar.

Overexpression of Cuphea viscosissima CvFatB4 enhances 16:0 fatty acid accumulation in Arabidopsis

이한길,연진욱,박종숙,이상호,이경렬 한국식물생명공학회 2019 JOURNAL OF PLANT BIOTECHNOLOGY Vol.46 No.4

Cuphea viscosissima plants accumulate medium- chain fatty acids (MCFAs), i.e., those containing 8 ~ 14 carbons, in their seeds, in addition to the longer carbon chain fatty acids (≥16 carbons) found in a variety of plant species. Previous studies have reported the existence of three C. viscosissima MCFA-producing acyl-acyl carrier protein (ACP) thioesterases with different substrate specificities. In this study, CvFatB4, a novel cDNA clone encoding an acyl- ACP thioesterase (EC 3.1.2.14), was isolated from developing C. viscosissima seeds. Sequence alignment of the deduced amino acid sequence revealed that four catalytic residues for thioesterase activity are conserved and a putative N-terminal chloroplast transit peptide is present. Overexpression of CvFatB4 cDNA, which was under the control of the cauliflower mosaic virus 35S promoter, in Arabidopsis thaliana led to an increase in 16:0 fatty acid (palmitate) levels in the seed oil at the expense of 18:1 and other non-MCFAs.

딥러닝 기반 소비자 평가 변화 예측 방법론

안지예,이동훈,연진욱,곽기영,김남규 한국경영과학회 2022 한국경영과학회 학술대회논문집 Vol.2022 No.6

딥러닝 기반 소비자 평가 변화 예측 방법론

안지예,이동훈,연진욱,곽기영,김남규 대한산업공학회 2022 대한산업공학회 춘계학술대회논문집 Vol.2022 No.6

상품 사용기간에 따른 토픽별 사용자 평가의 변화 분석

안지예(Jiyea An),연진욱(Jinwook Yeon),윤서빈(Seobin Yoon),김남규(Namgyu Kim) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.11

2016년 최저가 경쟁을 시작으로 국내 이커머스(E-commerce) 시장의 성장률은 꾸준히 상승했으며 경쟁 또한 치열해지고 있다. 특히 COVID-19로 인해 비대면 서비스들이 각광받기 시작하면서 온라인 쇼핑의 거래액도 급증하고 있다. 다양한 온라인 유통 채널들은 양질의 실구매 리뷰를 분석하여 소비자의 구매전환율을 높이고자, 다양한 유형의 리뷰를 남길 수 있는 기능을 제공하고 있다. 하지만 쇼핑 리뷰를 분석하는 연구들이 활발하게 이루어지고 있는 것에 비해 동일한 상품의 사용기간 차이에 따른 소비자 리뷰 변화를 분석한 연구는 상대적으로 부족하다. 이에 본 연구에서는 ‘네이버 쇼핑(스마트스토어)’의 ‘한 달 사용 리뷰’에 대해 토픽 모델링을 수행하여, 단기 사용 리뷰(Short-term Reviews)로부터 주요 토픽을 도출하고, 각 토픽에 해당하는 리뷰의 단기 평점과 장기 평점을 비교하고자 한다. 각 주제별 단기 평점과 장기 평점의 비교를 통해, 판매 전략 수립과 신상품 개발 및 개선에 도움이 되는 인사이트를 도출할 수 있을 것으로 기대한다. Starting with the bottom price competition in 2016, the growth rate of the domestic e-commerce market has been continuously increasing and competition in e-commerce market is also getting fiercer. Due to COVID-19, non-face-to-face services began to be in the spotlight and the transaction amount of online shopping is also increasing rapidly. So lots of online channels provide various services for acquiring various types of reviews in order to increase conversion rate by analyzing high-quality actual purchase reviews. However, while studies analyzing shopping reviews are being actively conducted, there are relative few studies on analyzing changes in consumer reviews according to the difference in usage period of the same product. Therefore, in this study, we perform topic modeling on the "monthly usage review" of "Naver Shopping (Smart Store)" to derive major topics from short-term reviews, and then compare the short-term and long-term star ratings of reviews for each topic. By comparing the short-term and long-term star ratings for each subject, we expect to be able to derive insights that help establish sales strategies and develop and improve new products.