• Plant Biotechnology Reports
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• 제5권2호
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• pp.147-156
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• 2011

Efficient Agrobacterium-mediated genetic transformation of Scoparia dulcis L. was developed using Agrobacterium tumefaciens strain LBA4404 harboring the binary vector pCAMBIA1301 with ${\beta}$-glucuronidase (GUS) (uidA) and hygromycin phosphotransferase (hpt) genes. Two-day precultured leaf segments of in vitro shoot culture were found to be suitable for cocultivation with the Agrobacterium strain, and acetosyringone was able to promote the transformation process. After selection on shoot organogenesis medium with appropriate concentrations of hygromycin and carbenicillin, adventitious shoots were developed on elongation medium by twice subculturing under the same selection scheme. The elongated hygromycin-resistant shoots were subsequently rooted on the MS medium supplemented with $1mg\;l^{-1}$ indole-3-butyric acid and $15mg\;l^{-1}$ hygromycin. Successful transformation was confirmed by PCR analysis using uidA- and hpt-specific primers and monitored by histochemical assay for ${\beta}$-GUS activity during shoot organogenesis. Integration of hpt gene into the genome of transgenic plants was also verified by Southern blot analysis. High transformation efficiency at a rate of 54.6% with an average of $3.9{\pm}0.39$ transgenic plantlets per explant was achieved in the present transformation system. It took only 2-3 months from seed germination to positive transformants transplanted to soil. Therefore, an efficient and fast genetic transformation system was developed for S. dulcis using an Agrobacterium-mediated approach and plant regeneration via shoot organogenesis, which provides a useful platform for future genetic engineering studies in this medicinally important plant.

• Asian-Australasian Journal of Animal Sciences
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• 제17권10호
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• pp.1390-1394
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• 2004

We have achieved efficient transformation system for forage-type tall fescue plants by Agrobacterium tumefaciens. Mature seed-derived embryogenic calli were infected and co-cultivated with each of three A. tumefaciens strains, all of which harbored a standard binary vector pIG121Hm encoding the neomycin phosphotransferase II (NPTII), hygromycin phosphotransferase (HPT) and intron-containing $\beta$-glucuronidase (intron-GUS) genes in the T-DNA region. Transformation efficiency was influenced by the A. tumefaciens strain, addition of the phenolic compound acetosyringone and duration of vacuum treatment. Of the three A. tumefaciens strains tested, EHA101/pIG121Hm was found to be most effective followed by GV3101/pIG121Hm and LBA4404/pIG121Hm for transient GUS expression after 3 days co-cultivation. Inclusion of 100 $\mu$M acetosyringone in both the inoculation and co-cultivation media lead to an improvement in transient GUS expression observed in targeted calli. Vacuum treatment during infection of calli with A. tumefaciens strains increased transformation efficiency. The highest stable transformation efficiency of transgenic plants was obtained when mature seed-derived calli infected with A. tumefaciens EHA101/pIG121Hm in the presence of 100 $\mu$M acetosyringone and vacuum treatment for 30 min. Southern blot analysis indicated integration of the transgene into the genome of tall fescue. The transformation system developed in this study would be useful for Agrobacterium-mediated genetic transformation of tall fescue plants with genes of agronomic importance.

• 대한전자공학회논문지SP
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• 제38권5호
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• pp.509-517
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• 2001

전역탐색알고리즘(full-search algorithm, FSA)은 탐색영역의 범위가 커짐에 따라 방대한 양의 계산을 필요로 하기 때문에 이에 따른 알고리듬의 처리시간이 커지고, 하드웨어로 구현했을 때 회로가 복잡해진다는 문제점을 안고 있다. 본 논문에서는 이러한 문제점을 개선하기 위한 방안으로 비트플레인 정합에 의한 움직임 추정기의 VLSI 구조를 제안한다. 제안된 움직임 추정기에서는 비트 플레인 정합기준을 이용하여 기존의 전역 탐색 알고리즘을 하나의 이진영상으로 적용함으로써 움직임 추정에 소요되는 연산의 양을 크게 줄이면 서도 전역탐색 알고리듬과 유사한 움직임 추정 성능을 갖도록 하였으며, 제안된 VLSI 구조에서는 두 개의 프로세싱 코어를 채택하여 데이터 흐름을 시스톨릭 (systolic) 어레이의 형태로 제어하여, 시스템 내부의 SRAM을 제거하여 동작 속도 상의 이득뿐만 아니라, 메모리 공정을 필요로 하지 않는 저가의 공정을 사용 가능하게 함으로써 제작상의 비용을 절감할 수 있는 해결책을 제시하였다. 구현된 하드웨어는 VHDL을 이용하여 설계하고, 기능 검증을 수행한 후 0.6-μm three-metal CMOS 공정을 이용하여 8.15 X 10.84㎟의 크기로 집적하였다.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2003년도 생물공학의 동향(XII)
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• pp.568-570
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• 2003

The Hyoscyamus niger hyoscyamine $6{\beta}-hydroxylase$ (H6H, EC 1.14.11.11) gene was introduced into the genome of a Scopolia parviflora by the binary vector system using the disarmed Agrobacterium rhizogenes strain KCTC 2703. Expression of H6H enzyme which are involved in alkaloids pathway by western blot analysis using proteins extracted from leaf, stem flower, branch root and main root were examined The enzyme expression was found only in the roots, with no expression in leaf, stem and flower. The alkaloids contents were the most higher in root and then leaf and stem has very small amount of alkaloid contents were analyzed by HPLC. The expression level of H6H in transgenic plants were two or more times than wild type plants. In transgenic plant which constitutively expresses H6H enzyme, high concentration of scopolamine was accumulated.

• 한국작물학회지
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• 제54권4호
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• pp.427-432
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• 2009

Seashore Paspalum (Paspalum vaginatum Swartz) is a warm season grass and indigenous to tropical and subtropical regions of coastal areas worldwide. The species is used as feed for cattle and horses and has been very successful for golf courses worldwide. One of the most outstanding characteristics of seashore paspalum is its tolerance to saline soils compared to other warm season turfgrasses. The development of new seashore paspalum cultivars with improved traits could be facilitated through the application of biotechnological strategies. The purpose of this study was to product for herbicide resistant seashore paspalum using Arobacterium-mediated transformation and this study is the first report on transformation and herbicideresistant transgenic plants in seashore paspalum. Embryogenic calli were induced from the seeded variety of pseashore paspalum. Embryogenic calli were transformed with Agrobacterium tumefaciens strain EHA105 carrying the binary vector pCAMBIA3301 with two genes encoding gusA and bar. Transformed calli and plants were selected on medium containing 3 mg/l PPT. PCR detected the presence of the gusA and bar gene, indicating both genes are integrated into the genome of seashore paspalum. A chlorophenol red assay was used to confirm that the bar gene was expressed. By application of herbicide BASTA, the herbicide resistance in the transgenic seashore paspalum plants was confirmed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권1호
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• pp.25-44
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• 2010

With the increasing popularity of mobile devices, it has become necessary to protect private information and content in these devices. Face recognition has been favored over conventional passwords or security keys, because it can be easily implemented using a built-in camera, while providing user convenience. However, because mobile devices can be used both indoors and outdoors, there can be many illumination changes, which can reduce the accuracy of face recognition. Therefore, we propose a new face recognition method on a mobile device robust to illumination variations. This research makes the following four original contributions. First, we compared the performance of face recognition with illumination variations on mobile devices for several illumination normalization procedures suitable for mobile devices with low processing power. These include the Retinex filter, histogram equalization and histogram stretching. Second, we compared the performance for global and local methods of face recognition such as PCA (Principal Component Analysis), LNMF (Local Non-negative Matrix Factorization) and LBP (Local Binary Pattern) using an integer-based kernel suitable for mobile devices having low processing power. Third, the characteristics of each method according to the illumination va iations are analyzed. Fourth, we use two matching scores for several methods of illumination normalization, Retinex and histogram stretching, which show the best and $2^{nd}$ best performances, respectively. These are used as the inputs of an SVM (Support Vector Machine) classifier, which can increase the accuracy of face recognition. Experimental results with two databases (data collected by a mobile device and the AR database) showed that the accuracy of face recognition achieved by the proposed method was superior to that of other methods.

• Journal of Information Processing Systems
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• 제9권1호
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• pp.117-140
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• 2013

Hindi is the most widely spoken language in India, with more than 300 million speakers. As there is no separation between the characters of texts written in Hindi as there is in English, the Optical Character Recognition (OCR) systems developed for the Hindi language carry a very poor recognition rate. In this paper we propose an OCR for printed Hindi text in Devanagari script, using Artificial Neural Network (ANN), which improves its efficiency. One of the major reasons for the poor recognition rate is error in character segmentation. The presence of touching characters in the scanned documents further complicates the segmentation process, creating a major problem when designing an effective character segmentation technique. Preprocessing, character segmentation, feature extraction, and finally, classification and recognition are the major steps which are followed by a general OCR. The preprocessing tasks considered in the paper are conversion of gray scaled images to binary images, image rectification, and segmentation of the document's textual contents into paragraphs, lines, words, and then at the level of basic symbols. The basic symbols, obtained as the fundamental unit from the segmentation process, are recognized by the neural classifier. In this work, three feature extraction techniques-: histogram of projection based on mean distance, histogram of projection based on pixel value, and vertical zero crossing, have been used to improve the rate of recognition. These feature extraction techniques are powerful enough to extract features of even distorted characters/symbols. For development of the neural classifier, a back-propagation neural network with two hidden layers is used. The classifier is trained and tested for printed Hindi texts. A performance of approximately 90% correct recognition rate is achieved.

• Journal of Plant Biotechnology
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• 제31권1호
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• pp.13-17
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• 2004

형질전환 효율을 높이기 위하여, NPTII와 GUS유전자를 포함하고 있는 pIG121Hm을 미세 입자에 코팅하여 particle bombardment를 수행한 후 pIG121Hm가 도입된 Agrobacterium tumefaciens EHA101와 3일간 공동 배양하였다. 그 후 캘러스를 1mg/L 2,4-D, 0.1mg/L BAP, 100mg/L kanamycin, 그리고 200mg/L carbenicillin이 포함된 MS배지로 옮겨 4주간 성장시킨 후 kanamycin저항성 캘러스를 선발하여 GUS 발현을 관찰하였고, PCR 분석을 통하여 700 bp의 NPT II 유전자가 도입된 것을 확인하였다. Particle bombardment 후 Agrobacterium과 공동배양 한 처리구가 Agrobacterium과 공동배양만 한 처리구보다 GUS발현 분석에 의한 형질전환 효율이 3배정도 더 높았다 형질전환 된 재분화 식물체를 얻기위해 다시 선발된 kanamycin저항성 캘러스는 1mg/L NAA와 1mg/L BAP가 포함된 재분화 배지에 옮겨져 4주 후 형질전환 된 소인경을 형성하였다.

• Applied Biological Chemistry
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• 제37권4호
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• pp.248-254
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• 1994

Bromoxynil은 쌍떡잎 특이적 제초제로써 폭 넓게 이용되고 있으며 반감기가 매우 짧다. Bromoxynil을 3,5-dibromo-4-hydroxybenzoic acid로 분해하는 nitrilase를 암호화한 bxn 유전자를 식물 벡터인 pGA482에 도입하고 Agrobacterium과의 동시배양을 통해 담배와 상추에 형질전환하였다. Kanamycin을 이용해 형질전환 식물체를 선별하고 완전한 식물체로 분화시켰다. Northern hybridization을 통해 bxn 유전자의 발현정도를 검정하고 liaf-disc와 pot assay를 통해 형질전환 식물체가 고농도의 bromoxynil에 저항성을 보임을 확인하였다.

• Smart Structures and Systems
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• 제16권2호
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• pp.243-262
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• 2015

Optimal sensor placement (OSP) is a critical issue in construction and implementation of a sophisticated structural health monitoring (SHM) system. The uncertainties in the identified structural parameters based on the measured data may dramatically reduce the reliability of the condition evaluation results. In this paper, the information entropy, which provides an uncertainty metric for the identified structural parameters, is adopted as the performance measure for a sensor configuration, and the OSP problem is formulated as the multi-objective optimization problem of extracting the Pareto optimal sensor configurations that simultaneously minimize the appropriately defined information entropy indices. The nondirective movement glowworm swarm optimization (NMGSO) algorithm (based on the basic glowworm swarm optimization (GSO) algorithm) is proposed for identifying the effective Pareto optimal sensor configurations. The one-dimensional binary coding system is introduced to code the glowworms instead of the real vector coding method. The Hamming distance is employed to describe the divergence of different glowworms. The luciferin level of the glowworm is defined as a function of the rank value (RV) and the crowding distance (CD), which are deduced by non-dominated sorting. In addition, nondirective movement is developed to relocate the glowworms. A numerical simulation of a long-span suspension bridge is performed to demonstrate the effectiveness of the NMGSO algorithm. The results indicate that the NMGSO algorithm is capable of capturing the Pareto optimal sensor configurations with high accuracy and efficiency.