• Title/Summary/Keyword: transfer vector

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Transformation of A Plant by Ascorbate Peroxidase Gene using Agrobacterium tumefaciens (Ascorbate Peroxidase 유전자의 도입에 의한 식물의 형질전환)

  • 이인애;이효신;배은경;김기용;이병현;손대영;조진기
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.22 no.2
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    • pp.101-106
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    • 2002
  • This study was conducted to obtain the transformed tobacco (Nicotiana tubacum) plants with cytosolic ascorbate peroxidase gene(ApxSC7) using Agrobacterium tumefaciens LBA4404. A cDNA encoding the cytosolic ascorbate peroxidase of strawberry, ApxSC7, was introduced into tobacco plants via Agrobacterium-mediated gene transfer system. The expression vector, pIG-AP8, harboring ApxSC7 gene was used for production of transgenic tobacco plants. A large number of transgenic plants were regenerated on a medium containing hygromycin. Integration of ApxSC7 gene was confirmed by PCR and Southern blot analyses with genomic DNA. Northern blot analyses revealed that the pIGap8 gene was constitutively expressed.

Overexpression and Characterization of appA Phytase Expressed by Recombinant Baculovirus-Infected Silkworm

  • CHEN YIN;ZHU ZHONGZE;LIN XU'AI;YI YONGZHU;ZHANG ZHIFANG;SHEN GUIFANG
    • Journal of Microbiology and Biotechnology
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    • v.15 no.3
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    • pp.466-471
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    • 2005
  • An Escherichia coli strain with high phytase activity was screened from pig excreta. The phytase gene, appA, was amplified by PCR technique. To obtain large amounts of appA phytase, the appA gene was subcloned into the baculovirus transfer vector pVL1393 under the control of the Polyhedrin promoter. The recombinant baculovirus harboring the appA gene was obtained after co-transfection and screening. The early $5^{th}$ instar larvae of silkworm were infected with the recombinant virus. Using this system, the appA phytase was overproduced up to 7,710 U per ml hemolymph. SDS-PAGE analysis revealed the baculovirus-derived appA phytase to be approximately 47 kDa in size. The optimal temperature and pH of the expressed phytase were $60^{\circ}C$ and pH 4.5, respectively. The enzymatic activity was increased by the presence of 1 mM $Ca^{2+}$, 1 mM $Mn^{2+}$, or $0.02\%$ Triton X-100.

A Novel Variable-Speed Renewable-Energy Generation System of Induction Generator and PWM Converter for Small-Scale Hybrid Power Applications

  • Ahmed, Tarek;Nishida, Katsumi;Lee, Hyun-Woo;Nakaoka, Mutsuo
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1339-1342
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    • 2005
  • This paper presents a simple AC-DC power conditioner for a squirell-cage induction generator(IG) operating under variable shaft speeds. The necessary reactive power for the IG system is supplied by means of a capacitor bank and a voltage-source PWM converter. Using a capacitor bank to transfer the reactive power to the IG under the rated speed and no-load conditions starts the IG operation and reduces the PWM power converter size. A simple control compensating for changes in the electrical loads as well as the variation in speed was developed to regulate the voltages of the IG system by controlling the rotor flux through its reactive and active currents control implementation. This proposed power conditioning scheme can be used efficiently as a wind power generation system where the output voltage of the IG is maintained constant voltage despite the variable frequency and the DC bus voltage of the PWM converter can be used for either DC applications such as battery charging or AC power applications with 60/50 Hz by connecting a stand alone inverter. The experimental and simulated operating performance results of a 5 kW IG scheme at various speeds and leads are presented.

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An estimation of surface reflectance for Advanced Himawari Imager (AHI) data using 6SV

  • Seong, Noh-hun;Lee, Chang Suk;Choi, Sungwon;Seo, Minji;Lee, Kyeong-Sang;Han, Kyung-Soo
    • Korean Journal of Remote Sensing
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    • v.32 no.1
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    • pp.67-71
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    • 2016
  • The surface reflectance is essential to retrieval various indicators related land properties such as vegetation index, albedo and etc. In this study, we estimated surface reflectance using Himawari-8 / Advanced Himawari Imager (AHI) channel data. In order to estimate surface reflectance from Top of Atmosphere (TOA) reflectance, the atmospheric correction is necessary because all of the TOA reflectance from optical sensor is affected by gas molecules and aerosol in the atmosphere. We used Second Simulation of a Satellite Signal in the Solar Spectrum Vector (6SV) Radiative Transfer Model (RTM) to correct atmospheric effect, and Look-Up Table (LUT) to shorten the calculation time. We verified through comparison Himawri-8 / AHI surface reflectance and Proba-V S1 products. As a result, bias and Root Mean Square Error (RMSE) are calculated about -0.02 and 0.05.

AN EXISTENCE OF LINEAR SYSTEMS WITH GIVEN TRANSFER FUNCTION

  • Yang, Meehyea
    • Bulletin of the Korean Mathematical Society
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    • v.30 no.1
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    • pp.99-107
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    • 1993
  • A vector space K with scalar product <.,.> is called a Krein space if it can be decomposed as a northogonal sum of a Hilbert space and an anti-space of a Hilbert space. The space K induces a Hilbert space $K_{J}$ in the inner product <.,.> $K_{J}$=<.,.>K, where $J^{2}$=I. the eigenspaces of J are denoted by $K^{+}$$_{J}$, which is a Hilbert space and $K^{-}$$_{J}$, which is an anti-space of a Hilbert space. Then the Krein space K is the orthogonal sum of $K^{+}$$_{J}$ and $K^{-}$$_{J}$. Such a decomposition of K is called a fundamental decomposition. In general, fundamental decompositions are not unique. The norm of the Hilbert space depends on the choice of a fundamental decomposion, but such norms are equivalent. The topology generated by these norms is called the strong or Mackey topology of K. It is used to define all topological notions on the Krein space K with respect to this topology. The Pontryagin index of a Krein space is the dimension of the antispace of a Hilbert space in any such decomposition. the dimension does not depend on the choice of orthogonal decomposition. A Krein space is called a Pontryagin space if it has finite Pontryagin index.dex.yagin index.dex.

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Pathogenicity of a Korean isolate of Pepper mild mottle virus and development of full-length cDNA clone for infectious in vitro transcripts

  • J.Y. Yoon;Park, J.K.;Y.M. Yu;K.H. Ryu
    • Proceedings of the Korean Society of Plant Pathology Conference
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    • 2003.10a
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    • pp.143.3-144
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    • 2003
  • A Korean isolate of Pepper mild mottle virus (PMMoV-Kr) was isolated from a diseased pepper crop in Chunchon, Korea. The isolate was biologically purified on Nicoticaa tabacum cv. Xanthi-nc by successive single local transfer steps, and propagated on N. tabacum cv. Samsun. PMMoV-Kr could systemically infect on N. glauca, N. benthmiana, N. occidentalis and Lycopersicon esculentum, which is typical of known isolates of PMMoV. PMMoV-Kr belongs to the pathotype P1,2 based on pepper-tobamoviral indicator experiments; Capsicn chinone harboring L3 gene revealed resistant (necrotic local lesion on inoculated leaf, HR) whereas L+, L1 and L2 pepper plants expressed susceptible reactions of mosaic systemic symptoms for the isolate. To confirm the pathology and delineate symptom determinant of the isolate, full-length cDNAs of PMMoV-Kr were amplified by RT-PCR with a primer set corresponding to the 5'- and 3'-ends of PMMoV. The RT-PCR molecules amplified from genome RNA of the isolate was cloned into the pUC18 vector. Full-length cDNA clones constructed under the control of the T7 RNA promoter could be successfully transcribed to produce in vitro transcript RNA. Infectivity of the capped transcripts and its progeny virus was verified by Western blot and RT-PCR analyses.

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Efficient Collecting Scheme the Crack Data via Vector based Data Augmentation and Style Transfer with Artificial Neural Networks (벡터 기반 데이터 증강과 인공신경망 기반 특징 전달을 이용한 효율적인 균열 데이터 수집 기법)

  • Yun, Ju-Young;Kim, Donghui;Kim, Jong-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.667-669
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    • 2021
  • 본 논문에서는 벡터 기반 데이터 증강 기법(Data augmentation)을 제안하여 학습 데이터를 구축한 뒤, 이를 합성곱 신경망(Convolutional Neural Networks, CNN)으로 실제 균열과 가까운 패턴을 표현할 수 있는 프레임워크를 제안한다. 건축물의 균열은 인명 피해를 가져오는 건물 붕괴와 낙하 사고를 비롯한 큰 사고의 원인이다. 이를 인공지능으로 해결하기 위해서는 대량의 데이터 확보가 필수적이다. 하지만, 실제 균열 이미지는 복잡한 패턴을 가지고 있을 뿐만 아니라, 위험한 상황에 노출되기 때문에 대량의 데이터를 확보하기 어렵다. 이러한 데이터베이스 구축의 문제점은 인위적으로 특정 부분에 변형을 주어 데이터양을 늘리는 탄성왜곡(Elastic distortion) 기법으로 해결할 수 있지만, 본 논문에서는 이보다 향상된 균열 패턴 결과를 CNN을 활용하여 보여준다. 탄성왜곡 기법보다 CNN을 이용했을 때, 실제 균열 패턴과 유사하게 추출된 결과를 얻을 수 있었고, 일반적으로 사용되는 픽셀 기반 데이터가 아닌 벡터 기반으로 데이터 증강을 설계함으로써 균열의 변화량 측면에서 우수함을 보였다. 본 논문에서는 적은 개수의 균열 데이터를 입력으로 사용했음에도 불구하고 균열의 방향 및 패턴을 다양하게 생성하여 쉽게 균열 데이터베이스를 구축할 수 있었다. 이는 장기적으로 구조물의 안정성 평가에 이바지하여 안전사고에 대한 불안감에서 벗어나 더욱 안전하고 쾌적한 주거 환경을 조성할 것으로 기대된다.

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A Study on the Spillover Effect of Information between Factors Related to Steel Materials and BCI (제철원료 관련 요인과 BCI 간의 정보전이 효과에 관한 연구)

  • Yo-Pyung Hwang;Ye-Eun Oh;Keun-Sik Park
    • Korea Trade Review
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    • v.47 no.2
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    • pp.133-154
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    • 2022
  • The Baltic Capesize Index (BCI), which is used as an indicator for marine transportation of steel raw materials, is one of the key economic indexes for managing the risk of loss due to rapid market fluctuations when steel companies establish business strategies and procuring plans for raw materials. Still, the conditions of supply and demand of steel raw materials has been extremely affected by volatility shocks from drastic events like the financial crisis such as the Lehman Brothers incident and changes in the external environment such as COVID-19. And, especially since the 2008 financial crisis, endeavors to predict the market conditions of the steel raw material is becoming more and more arduous for the deepening uncertainty and increased volatility of BCI, which has been used as a leading indicator of the real economy. This study investigates the correlation between the steel raw material market and the marine transportation market by estimating the spillover effect of information between markets. The vector error correction model (VECM) was used to analyze information transfer based on the correlation between the BCI and crude steel production, capesize fleet supply, raw material price, and cargo volume.

Design of Block Codes for Distributed Learning in VR/AR Transmission

  • Seo-Hee Hwang;Si-Yeon Pak;Jin-Ho Chung;Daehwan Kim;Yongwan Kim
    • Journal of information and communication convergence engineering
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    • v.21 no.4
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    • pp.300-305
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    • 2023
  • Audience reactions in response to remote virtual performances must be compressed before being transmitted to the server. The server, which aggregates these data for group insights, requires a distribution code for the transfer. Recently, distributed learning algorithms such as federated learning have gained attention as alternatives that satisfy both the information security and efficiency requirements. In distributed learning, no individual user has access to complete information, and the objective is to achieve a learning effect similar to that achieved with the entire information. It is therefore important to distribute interdependent information among users and subsequently aggregate this information following training. In this paper, we present a new extension technique for minimal code that allows a new minimal code with a different length and Hamming weight to be generated through the product of any vector and a given minimal code. Thus, the proposed technique can generate minimal codes with previously unknown parameters. We also present a scenario wherein these combined methods can be applied.

Prediction of EFT/B Signal Transfer Characteristics in Mobile Charging Circuit (모바일 충전회로에서 EFT/B 신호의 전달특성 예측에 대한 연구)

  • Song, SeungJae;Kim, Kwangho;Jo, Jeongmin;Lee, Seungbae;Kim, So-young;Nah, Wansoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.26 no.10
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    • pp.895-906
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    • 2015
  • This paper presents a methodology and a model that can analyze the high frequency transfer characteristics from socket in the AC power port to the 5 V DC output port in the mobile charging circuit. This is to predict the output signals coming from the IEC(International Electrotechnical Commission) Standard(IEC 61000-4-4), EFT/B(Electric Fast Transient and Burst) immunity test for mobile charging circuit. Since the mobile charging circuit is energized from the AC power socket from the power line, it is necessary to know the high frequency transfer characteristics with activated AC power line. A simple CDN(Coupling-Decoupling Network) is designed and manufactured for measuring S-parameters of mobile charging circuit with and without AC power line activated. The result shows that the S-parameters of the specific mobile charging circuits are almost the same, independent of AC power line activation. Consequently, the S-parameters without AC line could be used to predict the output response to the EFT/B signals, and it was shown that the proposed methodology predicts the output responses quite accurately, which proves the validness of the methodology presented in this paper.