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Antimicrobial active clones from soil metagenomic library

  • H. K. Lim;Lee, E. H;Kim, J.C.;Park, G. J.;K S. Jang;Park, Y. H.;K Y. Cho;S, W. Lee
    • Proceedings of the Korean Society of Plant Pathology Conference
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    • 2003.10a
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    • pp.108.1-108
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    • 2003
  • Soil metagenome is untapped total microbial genome including that of the majority of unculturable bacteria present in soil. We constructed soil metagenomic library in Escherichia coli using DNA directly extracted from two different soils, pine tree rhizosphere soil and forest topsoil. Metagenomic libraries constructed from pine tree rhizosphere soil and forest topsoil consisted of approximately 33,700 clones and 112,000 clones with average insert DNA size of 35-kb, respectively. Subsequently, we screened the libraries to select clones with antimicrobial activities against Saccharomyces cerevisiae and Agrobacterium tumefaciens using double agar layer method. So far, we have a clone active against S. cerevisiae and a clone active against A. tumefaciens from the forest topsoil library. In vitro mutagenesis and DNA sequence analysis of the antifungal clone revealed the genes involved in the biosynthesis of antimicrobial secondary metabolite. Metagenomic libraries constructed in this study would be subject to search for diverse genetic resources related with useful microbial products.

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A Study on the Optimal VAR planning Using Fuzzy Linear Progamming with Multi-criteria Function (Fuzzy 다목적 선형계획법을 이용한 최적 무효전력 배준계획에 관한 연구)

  • 송길영;이희영
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.9
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    • pp.984-993
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    • 1992
  • Fuzzy L.P. with Multi-criteria function is adopted in this VAR planning algorithm to accomplish the optimization of comflicting objectives, such as the amount of the VAR installed and power system loss, while keeping the bus voltage profile within an admissible range. Fuzzy L.P. with Multi-criteria function, a powerful tool dealing with the fuzziness of satisfaction levels of the constraints and the goal of objective functions, enables us to search for the solutions which may contribute in VAR planning. This advantage is not provided by traditional standardized L.P. The effectiveness of the proposed algorithm has been verified by the test on the IEEE-30 bus system.

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A Hybrid Bacterial Foraging Optimization Algorithm and a Radial Basic Function Network for Image Classification

  • Amghar, Yasmina Teldja;Fizazi, Hadria
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.215-235
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    • 2017
  • Foraging is a biological process, where a bacterium moves to search for nutriments, and avoids harmful substances. This paper proposes a hybrid approach integrating the bacterial foraging optimization algorithm (BFOA) in a radial basis function neural network, applied to image classification, in order to improve the classification rate and the objective function value. At the beginning, the proposed approach is presented and described. Then its performance is studied with an accent on the variation of the number of bacteria in the population, the number of reproduction steps, the number of elimination-dispersal steps and the number of chemotactic steps of bacteria. By using various values of BFOA parameters, and after different tests, it is found that the proposed hybrid approach is very robust and efficient for several-image classification.

Efficient Image Transmission System Using IFS (IFS를 이용한 고효율 영상전송 시스템)

  • Kim, Sang Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.11
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    • pp.6810-6814
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    • 2014
  • The concept of IFS (Iterated Function System) was applied to compress and transmit image data efficiently. To compress the image data with IFS, self-similarity was used to search a similar block. To improve the coding performance for the iterated function system with natural images, the image will be formed of properly transformed parts of itself to minimize the coding error. The simulation results using the proposed IFS represent high PSNR performance and improved compression efficiency with the coefficient of a recursive function.

Real-time obstacle avoidance for redundant manipulator (여유 자유도 로봇의 실시간 충돌 회피)

  • 조웅장;권동수
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1140-1143
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    • 1996
  • A new approach based on artificial potential function is proposed for the obstacle avoidance of redundant manipulators. Unlike the so-called "global" path planning method, which requires expensive computation for the path search before the manipulator starts to move, this new approach, "local" path planning, researches the path in real-time using the local distance information. Previous use of artificial potential function has exhibited local minima in some complex environments. This thesis proposes a potential function that has no local minima even for a cluttered environment. This potential function has been implemented for the collision avoidance of a redundant robot in Simulation. The simulation also employ an algorithm that eliminates collisions with obstacles by calculating the repulsive potential exerted on links, based on the shortest distance to object.

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High Resolution Pitch Determination Algorithm for Fetal Heart Rate Extraction (태아심음주기의 검출을 위한 고해상 피치 검출 알고리즘)

  • 이응구;이두수
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.2
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    • pp.80-87
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    • 1994
  • Fetal monitoring is a routine procedure to obtain a record of physiologic functions during pregnancy and labor. It is required to determine fetal heart frequency accurately. There are various types of fetal heart rate(FHR) determination and the most frequently applied method is transabdominal Doppler ultrasound. However, in the case of weak or noise corrupted Doppler ultrasound signals, conventional peak detections and the autocorrelation function method have many difficulties to determine FHR precisely. Also the autocorrelation function is effected by threshold level and window size. To solve these problems, the high resolution pitch determination algorinthm is introduced to detect FHR from Doppler ultrasound signals. This scheme digitally processes Doppler ultrasound signal for digital rectification, envelope detection, decimation and correlation calculation of two interconnected segments and then FHR is determined by its maximal value. Even in the case of a greatly smeared noise signal, this algorithm is able to search FHR more accurately than autocorrelation function by means of compensating FHR with a constant correlation threshold. This algorithm is simulated by 386-MATLAB on PC 486/DX and verified that it is superior to the autocorrelation function method.

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A Comparative Study on the Raglan-Sleeve Patterns According to the Construction Factors(II) (구성요인에 따른 래글런 소매패턴의 비교 연구(II) - 개발된 소매패턴의 평가를 중심으로 -)

  • 이경화;조재희
    • Journal of the Korean Society of Costume
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    • v.53 no.8
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    • pp.1-10
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    • 2003
  • The purpose of this study was to verify fitness of a new raglan sleeve pattern according to the result of appearance and function evaluation. Also, it was to search the relation between the construction factor and the function on the selected 3 types of the existent raglan sleeve patterns and the new sleeve pattern. Three female university students having different shoulder shapes were selected as subjects, wore 4 different types of the raglan steeve was evaluated by professional panel. The functions of the evaluated sleeve patterns evaluated was made by the wearer themselves. According to the comparison of the new raglan sleeve pattern with the existent raglan sleeve pattern, the new raglan sleeve pattern acquired the higher evaluation scores both on the appearance test and the function evaluation. It was known that the appearance and function of the raglan sleeve pattern were effected by construction factors of the sleeve pattern.

Multipath Mitigation Method Through Asymmetry Estimation of Correlation Function (상관함수의 비대칭성 추정을 통한 다중 경로 오차 제거 기법)

  • Jang Han-Jin;Moon Sung-Wook;Kim Jeong-Won;Lee Sang-Jeong;Hwang Dong-Hwan
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.10
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    • pp.1050-1055
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    • 2006
  • Since the muiltipath signal arrives at the GPS receiver later than the line-of-sight signal, the multipath signal makes the shape of the correlation function asymmetric. This paper proposes a multipath mitigation method through asymmetry estimation of the correlation function, in which multiple correlators are utilized. The asymmetry is estimated from correlation values of correlators which have different chip spacings. Based on the estimated asymmetry, the correlation function is modified in order to get a better code tracking performance. Even through the proposed method uses multiple correlators including the narrow correlator, the acquisition performance is not degraded since the number of search cell of the narrow correlator part can be reduced in the algorithm of the proposed method. The simulation results show that the proposed method gives better performance than the generic correlator in multipath environment.

Teaching Mathematics using Mathematica (Mathematica를 활용한 수학 지도)

  • 허혜자
    • Journal of Educational Research in Mathematics
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    • v.8 no.2
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    • pp.541-551
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    • 1998
  • Recently, the importance of participating in classes activity and cultivating student's thinking ability is emphasized in the mathematics education society. Teachers are demanded to change their teaching style centered pencile-and paper into using the variety instructional aids, such as calculator, video tape, computer, ohp, and projector, etc. In this paper, we search for the mathematica's function and the method that apply mathematical to the secondary school mathematics. Mathematical has many functions: calculator, algebra, graphics, animations, programing, notebook. We find that mathematica can be applied to the graph of function, the understand of simultaneous equations, the graph of trigonometry function, the calculation of limit, the computation of areas as limits, the derivative of a function and tangent line, a solid figure, and others in secondary school mathematics.

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The Effect of Mirror Therapy to Improve Upper Extremity Function in Stroke Patients: A Meta-analysis

  • Se-Ra Min;Tae-Hoon Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.92-98
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    • 2024
  • This meta-analysis systematically reviewed studies on mirror therapy focused on arm and hand function in stroke patients, aiming to comprehensively assess the efficacy of mirror therapy interventions and furnish empirical support for its potential application and future development in the context of stroke rehabilitation. A rigorous search for articles published in international journals up to the year 2022 was conducted. Various assessment tools were employed to calculate effect sizes, evaluating the impact of mirror therapy on arm and hand function in stroke patients. Utilizing a random-effects model, mean effect sizes were determined, yielding a total effect size of 0.545. The effect sizes for the Brunnstrom Recovery Stage (BRS), Box and Block Test (BBT), Modified Barthel Index (MBI), Fugl-Meyer Assessment (FMA), and grip strength test were 0.957, 0.596, 0.490, 0.488, and 0.417, respectively. In summary, we suggest that mirror therapy engenders positive changes in functional recovery among stroke patients, establishing a foundation for its tailored clinical application based on individual subject characteristics.