• Title/Summary/Keyword: efficient translation

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Agroinfiltration-based Potato Virus X Replicons to Dissect the Requirements of Viral Infection

  • Park, Sang-Ho;Kim, Kook-Hyung
    • The Plant Pathology Journal
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    • v.22 no.4
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    • pp.386-390
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    • 2006
  • Extensive research of the Potato virus X(PVX) has been performed in in vitro transcription system using the bacteriophage T7 promoter. We constructed an efficient T-DNA based binary vector, pSNU1, and modified vectors carrying PVX replicons. The suitability of the construct to transiently express PVX RNA using Agrobacterium tumefaciens was tested by analysis of infectivity in plants. The expressed PVX RNA was infectous and systemically spread in three plant species including Nicotiana benthamiana, N. tabacum cv. Xanthi-nc, and Capsicum annuum cv. Chilsungcho. The PVX full length construct, pSPVXp31, was caused severe mosaic symptoms on N. benthamiana, severe necrotic lesions on C. annuum while milder symptoms and delayed mosaic symptoms were appeared on the systemic leaves on N. tabaccum. RT-PCR analysis confirmed the presence of PVX RNAs on both inoculated and systemic leaves in all three plant species tested. Our results indicated that PVX replicons were efficiently expressed PVX RNA in at least three tested species. Further investigation win be needed to elucidate the mechanism of PVX replication, translation, movement and assembly/disassembly processes.

Hybrid Dual Quaternion Algorithm For Precise Strapdown Inertial Navigation (정밀 스트랩다운 관성항법을 위한 혼합 이체쿼터니언 알고리즘)

  • Shim, Ju-Young;Lee, Han-Sung;Park, Chan-Gook;Yu, Myeong-Jong;Lee, Hyung-Keun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.7
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    • pp.627-632
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    • 2007
  • Dual quaternion is efficient methodology to express rotation and translation of the vehicle's movements in the unified frame work. Recently, a strapdown inertial navigation algorithm based on dual quaternion was introduced. By comparing and analyzing the classical and dual-quaternion algorithms, this paper proposes a new strapdown inertial navigation algorithm that maintains the accuracy benefit of the dual-quaternion algorithm with considerable computational reduction. Simulation results show the efficiency of the proposed hybrid strapdown navigation algorithm.

Efficient Digitizing in Reverse Engineering By Sensor Fusion (역공학에서 센서융합에 의한 효율적인 데이터 획득)

  • Park, Young-Kun;Ko, Tae-Jo;Kim, Hrr-Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.9
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    • pp.61-70
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    • 2001
  • This paper introduces a new digitization method with sensor fusion for shape measurement in reverse engineering. Digitization can be classified into contact and non-contact type according to the measurement devices. Important thing in digitization is speed and accuracy. The former is excellent in speed and the latter is good for accuracy. Sensor fusion in digitization intends to incorporate the merits of both types so that the system can be automatized. Firstly, non-contact sensor with vision system acquires coarse 3D point data rapidly. This process is needed to identify and loco]ice the object located at unknown position on the table. Secondly, accurate 3D point data can be automatically obtained using scanning probe based on the previously measured coarse 3D point data. In the research, a great number of measuring points of equi-distance were instructed along the line acquired by the vision system. Finally, the digitized 3D point data are approximated to the rational B-spline surface equation, and the free-formed surface information can be transferred to a commercial CAD/CAM system via IGES translation in order to machine the modeled geometric shape.

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Hardware Implementation of Discrete-Time Cellular Neural Networks Using Distributed Arithmetic (분산연산 방식을 이용한 이산시간 Cellular 신경회로망의 하드웨어 구현)

  • Park, Sung-Jun;Lim, Joon-Ho;Chae, Soo-Ik
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.153-160
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    • 1996
  • In this paper, we propose an efficient digital architecture for the discrete-time cellular neural networks (DTCNN's). DTCNN's have the locality and the translation invariance in the templates which determine the patterns of the connection between the cells. Using distributed arithmetic (DA) and the characteristics of DTCNN, we propose a simple implementation of DTCNN. The bus width in the cell-to-cell interconnection is reduced to one bit because of DA's bitwise operation. We implemented the reconfigurable architecture of DTCNN using programmable FPGA.

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Tissue proteomics for cancer biomarker development - Laser microdissection and 2D-DIGE -

  • Kondo, Tadashi
    • BMB Reports
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    • v.41 no.9
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    • pp.626-634
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    • 2008
  • Novel cancer biomarkers are required to achieve early diagnosis and optimized therapy for individual patients. Cancer is a disease of the genome, and tumor tissues are a rich source of cancer biomarkers as they contain the functional translation of the genome, namely the proteome. Investigation of the tumor tissue proteome allows the identification of proteomic signatures corresponding to clinico-pathological parameters, and individual proteins in such signatures will be good biomarker candidates. Tumor tissues are also a rich source for plasma biomarkers, because proteins released from tumor tissues may be more cancer specific than those from non-tumor cells. Two-dimensional difference gel electrophoresis (2D-DIGE) with novel ultra high sensitive fluorescent dyes (CyDye DIGE Fluor satulation dye) enables the efficient protein expression profiling of laser-microdissected tissue samples. The combined use of laser microdissection allows accurate proteomic profiling of specific cells in tumor tissues. To develop clinical applications using the identified biomarkers, collaboration between research scientists, clinicians and diagnostic companies is essential, particularly in the early phases of the biomarker development projects. The proteomics modalities currently available have the potential to lead to the development of clinical applications, and channeling the wealth of produced information towards concrete and specific clinical purposes is urgent.

Methods of WAP Gateway Capacity Dimensioning and Traffic Forecasting (WAP 게이트웨이 용량 산출과 트래픽 예측 기법)

  • Park, Chul-Geun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.4B
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    • pp.576-583
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    • 2010
  • Wireless Internet is the network which provides wireless access in order to serve the Internet connections and data communication through the mobile handsets. To get efficient wireless access to the Internet, we need the WAP (Wireless Application Protocol) gateway that performs protocol translation and contents conversion between two different networks. We need the capacity dimensioning of the WAP gateway system in order to provide the wireless Internet service stably and cost-effectively. We also need the traffic engineering methods including traffic modelling and forecasting for the economical facility investment. The existing method of WAP gateway capacity dimensioning was intuitive and qualitative. But in this paper, we deal with the capacity dimensioning analytically and quantitatively on the basis of WAP traffic description parameters and traffic forecasting method.

A Robust Content-Based Image Retrieval Technique for Distorted Query Image (변형된 질의 영상에 강한 내용 기반 영상 검색 기법)

  • 김익재;이제호;권용무;박상희
    • Journal of Broadcast Engineering
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    • v.2 no.1
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    • pp.74-83
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    • 1997
  • We have proposed a composite feature measure which combines the color and shape features of an image for image retrieval. We improved the performance of retrieval based on the efficient color quantization using the Lloyd-Max quanizer and on the Histogram matrix matching method which considers the spatial correlation of quantized color group. We also supplemented the color information using shape information with the Improved Moment Invarlants. We have tested our technique on Image database consisting of 200 actual trademark images. Our experimental results showed that our approach improved the performance compared to the previous method under the various situations such as rotation images, translation images, noise added images, gamma corrected images and so on. The efficiency of retrieval is found to be very high and experimental results are

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A Mutual Reaction Between The Compilatory Course of 『Euibangyoochui』 and Other Medical Books in First Term of Chosun (『의방유취(醫方類聚)』의 편찬(編纂)과 조선전기(朝鮮前期) 의서(醫書))

  • Ahn, Sang-Woo
    • The Journal of Korean Medical History
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    • v.14 no.2
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    • pp.59-82
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    • 2001
  • The book, "Euibangyoochui醫方類聚"(A.D. 1445) is called the treasure-house of the knowledge of medical science, due to the 50,000 prescriptions and an enormous amount of medical information that it contains. But in spite of the importance of this book, a convenient and efficient method to use the information in this book isn't developed yet and as a result the use of this book in a low state. Therefore before than anything else, there is necessity to establish the database on "Euibangyoochui". Before the establishment of database on "Euibangyoochui", there are basic works that should be preceded as follows; like the correction through investigating and comparing between the texts that are related with "Euibangyoochui", interpretation, proofread and translation to Korean of the original. And also bibliographical research on "Euibangyoochui". The compilatory course and transmissional system of the medical books in first term of Chosun(朝鮮) was able to apprehend through the bibliographical research about "Euibangyoochui". Also, many emergency medical books and books about the prevention of the infectious diseases mostly based on "Euibangyoochui" were wrote and put to practical use. And this fact, tells us that the compilation of "Euibangyoochui" was supported by the government of Chosun as means to accumulate the medical knowledge.

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Image Retrieval Using Color feature and GLCM and Direction in Wavelet Transform Domain (Wavelet 변환 영역에서 칼라 정보와 GLCM 및 방향성을 이용한 영상 검색)

  • 이정봉
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.585-589
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    • 2002
  • In this paper, hierarchical retrieval system based on efficient feature extraction is proposed. In order to retrieval the image with robustness for geometrical transformation such as translation, scaling, and rotation. After performing the 2-level wavelet transform on image, We extract moment in low-level subband which was subdivided into subimages and texture feature, contrast of GLCM(Gray Level Co-occurrence Matrix). At first we retrieve the candidate images in database by the ones of image. To perform a more accurate image retrieval, the edge information on the high-level subband was subdivided horizontally, vertically and diagonally. And then, the energy rate of edge per direction was determined and used to compare the energy rate of edge between images for higher accuracy.

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Motion Parameter Estimation Using Hough Space Transform (Hough 영역 변환을 이용한 운동 변화량 추정)

  • Chien, Sung-Il;Kim, Jong-Woo
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.11
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    • pp.92-102
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    • 1990
  • A new method for determining the motion parameters (scale, rotation, translation) of 2-D image is introduced. It employs Hough transform that maps the straight lines in the input image to the points in the Hough space (HS). This method makes use of the relations between the motion of an object in input image and the translations of peak points in the HS and thus derives relating equations about motion parameters especially when scale changes are involved. The derived equations make is efficient and simple to estimate motion parameters of input image, even if the scale parameter of input image is varied. Performance of this approach on an aircraft image is provided in detail in the presence of noise.

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