• Title/Summary/Keyword: 시스템조합

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An Efficient Signature Recognition Based on Histogram Using Statistical Characteristics (통계적 속성을 이용한 히스토그램 기반 효율적인 서명인식)

  • Cho, Yong-Hyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.5
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    • pp.701-709
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    • 2010
  • This paper presents an efficient signature recognition method by using the hybrid similarity criterion, which is in inverse proportion to distance and in proportion to correlation between the images. The distance is applied to express the spacial property of image, and the correlation is also applied to express the statistical property. The proposed criterion provides the robust recognition to both the geometrical variations such as position, size, and rotation and the shape variation. The normalized cross-correlation(NCC), which is calculated by considering 4 directions based on the histogram of binary image, is applied to express rapidly and accurately the similarity between the images. The proposed method has been applied to the problem for recognizing the 20 truck images of 288*288 pixels and the 105(3 persons * 35 images) signature images of 256*256 pixels, respectively. The experimental results show that the proposed method has a superior recognition performance that appears the image characters well. Especially, the hybrid criterion of NCC and ordinal distance has a superior recognition performance to the hybrid criterion using city-block or Euclidean distance.

An Optimization of the Distributed Generator Combination for Microgrid using Linear Programming (선형계획법을 이용한 마이크로그리드의 분산전원 조합 최적화)

  • Lee, Hak-Ju;Chae, Woo-Kyu;Jung, Won-Wook;Song, Il-Keun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.24 no.8
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    • pp.133-141
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    • 2010
  • MG(Microgrid) is a small power supply system located on-site that can supply both the electricity and the hot-water simultaneously. Engineering S/W is requested to construct Microgrids economically. We developed Engineering S/W that can combine DERs (Distributed Energy Resources) most economically using the linear programming and estimate of the economic. Developed S/W was programed using GAMS(General Algebraic Modeling System) and it is composed of the optimal DER combination module and forecasting module of renewable energy's output. We embody it based on MS Excel considering the user's convenience and we show its validity through a case study. We think that developed S/W will be very useful for planning MGs and energy supply.

Development of PCR-base Diagnostic System for the Detection of Andean potato latent virus (Andean potato latent virus 검출을 위한 PCR 기반 진단시스템 개발)

  • Lee, Jin-Young;Kim, Jin-Ho;Kim, Eunsil;Lee, Siwon
    • Korean Journal of Agricultural Science
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    • v.42 no.2
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    • pp.105-109
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    • 2015
  • Andean potato latent virus (APLV) is a phytopathogenic virus that belongs to the Group IV (+) sense ssRNA viruses of the genus Tymovirus. It mainly infects potatoes and is specified as a controlled quarantine virus in Korea. In this study, two primer sets of RT-PCR and nested PCR [set 2 ($404{\rightarrow}259bp$) and set 23 ($501{\rightarrow}349bp$)], were selected, which can rapidly and accurately diagnose APLV in quarantine sites. In addition, a modified-positive control plasmid is development, can possible verification of laboratory contamination in diagnosis of APLV detection. The PCR-base system developed in this study is expected to diagnose APLV and contribute to the plant quarantine in Korea.

Immobilization of Recombinant Bacterial Biosensors: a Simple Approach for the On-Site Detection of Phenolic Compounds (재조합 박테리아 바이오센서의 고정화: 페놀계 화합물의 현장 검출을 위한 간단한 접근 방법)

  • Shin, Hae-Ja
    • Journal of Life Science
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    • v.21 no.9
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    • pp.1323-1328
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    • 2011
  • We herein report the development of an agarose-gel-immobilized recombinant bacterial biosensor simple system for the field monitoring of phenolic compounds. Escherichia coli cells harboring the pLZCapR plasmid, which was previously designed to express the ${\beta}$-galactosidase reporter gene in the presence of phenolic compounds, were co-immobilized with a substrate [chlorophenol red ${\beta}$-galactopyranoside (CPRG) in agarose gel, and dispensed to the wells of a 96-well plate. Field samples were added to the wells and color development was monitored. In the presence of 5 ${\mu}M$ to 10 mM of phenol, the biosensor developed a red (representing hydrolysis of CPRG) color. Other phenolic compounds were also detected by this immobilized system, with the pattern resembling that previously reported for the corresponding non-immobilized biosensor. The immobilized cells showed optimum activity when the gel was simultaneously supplemented with 6% dimethyl formamide (DMF), 0.1% SDS and 10 mM $CaCl_2$. The immobilized biosensor described herein does not require the addition of a substrate or the use of unwieldy instruments or sample pretreatments that could complicate field studies.

Tree Component Model : Component Composition with Hybrid Message Passing (트리 컴포넌트 모델 : 하이브리드 메시지 전달을 사용한 컴포넌트 조합)

  • Huh, Je-Min;Kim, Ji-Hong
    • The KIPS Transactions:PartD
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    • v.15D no.5
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    • pp.659-668
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    • 2008
  • Recently, the component model based on the Exogenous Connector has been proposed in which controls are separated from computation by managing the beginning and result of method calls in the connector. Although it could be loosely coupled between components, it has a problem that is a potential preponderance of element objects of the system by increasing the number of connectors and connection levels. In this paper we propose the Tree Component Model with the Hybrid Message Passing that combines direct and indirect message passing. In our model, components are wrapped by interfaces and controls are separated from computation by only using their interface references. There is a unique feature that the composition structure of components becomes the tree always. As a result of demonstration and comparison, it is found that the Tree Component Model is applicable practically and decreases objects to mediate message passing and build the system.

The Design Of Microarray Classification System Using Combination Of Significant Gene Selection Method Based On Normalization. (표준화 기반 유의한 유전자 선택 방법 조합을 이용한 마이크로어레이 분류 시스템 설계)

  • Park, Su-Young;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.12
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    • pp.2259-2264
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    • 2008
  • Significant genes are defined as genes in which the expression level characterizes a specific experimental condition. Such genes in which the expression levels differ significantly between different groups are highly informative relevant to the studied phenomenon. In this paper, first the system can detect informative genes by similarity scale combination method being proposed in this paper after normalizing data with methods that are the most widely used among several normalization methods proposed the while. And it compare and analyze a performance of each of normalization methods with multi-perceptron neural network layer. The Result classifying in Multi-Perceptron neural network classifier for selected 200 genes using combination of PC(Pearson correlation coefficient) and ED(Euclidean distance coefficient) after Lowess normalization represented the improved classification performance of 98.84%.

Search Space Partitioning-based Receiver for Generalized Spatial Modulation under Channel Information Errors (일반화 공간변조 시스템에서 채널 정보 오차를 고려한 탐색 영역 분할 수신기)

  • Yoon, Hakjoon;Im, Changyong;Lee, Kyungchun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1631-1637
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    • 2019
  • In this paper, we propose a low-complexity robust maximum likelihood (ML) receiver for generalized spatial modulation. The proposed receiver performs the transmit antenna partition to lower the computational loads. After we divide the transmit antenna combinations into two parts, one of which is "the likely TAC part," and the other of which is "the unlikely TAC part", based on the minimum mean square error (MMSE) filtering output. We first perform the maximum likelihood detection only in the likely TAC part. Then we evaluate the reliability of the solution found in the first search, and based its reliability we decide whether we continue the search in the unlikely TAC part. This partitioned search strategy maintains the performance of the conventional robust maximum likelihood receiver and simultaneously lowers computational loads. Through simulation, we found that our newly-proposed receiver achieves considerable gains over the conventional robust ML detector in terms of the computational loads while providing almost the same performance.

Reduction of nitro blue tetrazolium by combined reaction of various photosensitizers with amino acids (다양한 감광제와 아미노산의 조합 반응에서 nitro blue tetrazolium의 환원특성 평가)

  • Lee, Eunbin;Hong, Jungil
    • Korean Journal of Food Science and Technology
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    • v.54 no.1
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    • pp.1-7
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    • 2022
  • Riboflavin (Rb), in the presence of methionine (Met) under light, generates superoxide radicals that can reduce nitro blue tetrazolium (NBT) to its corresponding formazan. The Rb-Met/NBT system has been used to measure the superoxide dismutase (SOD)-like activities of various antioxidants. However, the reaction mechanisms have not been clearly defined, and the assay conditions are not consistent. In this study, the effects of different photosensitizers and amino acids on NBT reduction in different solvents were investigated. NBT reduction in the Rb-Met/NBT system was more pronounced in phosphate-buffered saline, compared to distilled water or Tris (pH 7.5); histidine (His) instead of Met also led to considerable Rb-induced NBT reduction. Among the photosensitizers, methylene blue with His caused potent NBT reduction in Tris. Rb-induced NBT reduction combined with Met or His was quantitatively inhibited by SOD or gallic acid, but did not affect MB-induced reduction sensitively.