• Title/Summary/Keyword: cNN

Search Result 110, Processing Time 0.021 seconds

Pressure Drop Distributions in Rotating Channels with Turning Region and Angled Ribs (II) - Parallel Rib Arrangements - (각도요철 및 곡관부를 가진 회전덕트 내 압력강하 분포 (II) - 평행한 요철 배열 -)

  • Kim, Kyung-Min;Park, Suk-Hwan;Lee, Dong-Hyun;Cho, Hyung-Hee
    • Transactions of the Korean Society of Mechanical Engineers B
    • /
    • v.30 no.9 s.252
    • /
    • pp.882-890
    • /
    • 2006
  • The present study investigates the pressure drop characteristics in rotating two-pass ducts. The duct has an aspect ratio (W/H) of 0.5 and a hydraulic diameter $(D_h)$ of 26.67mm. Rib turbulators are attached parallel in the four different arrangements on the leading and trailing surfaces of the test ducts. The ribs have a rectangular cross section of $2m(e){\times}3mm(w)$ and an attack angle of $70^{\circ}C$. The pitch-to-rib height ratio (p/e) is 7.5, and the rib height-to-hydraulic diameter ratio $(e/D_h)$ is 0.075. The results show that the highest pressure drop among each region appears in the turning region for the stationary case, but appears in the upstream region of the second pass for the rotating case. Effects of parallel rib arrangements are almost the same in the first pass for the stationary and rotating cases. In the second pass, however, heat transfer and pressure drop are high for the cases with parallel NN or PP type ribs in the stationary ducts. In the rotating ducts, they are high for the cases with parallel NN or PN type ribs.

Transgenic Tobacco Plants Introduced with cDNA of Cucumber Mosaic Virus Satellite RNA (오이 모자이크 바이러스 위성RNA의 cDNA가 도입된 형질전환 담배의 육성)

  • 이상용;홍은주;최장경
    • Korean Journal Plant Pathology
    • /
    • v.11 no.1
    • /
    • pp.80-86
    • /
    • 1995
  • The cDNA of CMV-As satellite RNA was introduced into tobacco plants (Nicotiana tabacum cv. Samsun NN) using a binary Ti plasmid vector system of Agrobacterium tumefaciens. The cDNA of satellite RNA introduced into tobacco plants was detected by polymerase chain reaction (PCR) and molecular hybridization analyses. Symptom development was distinctly suppressed in the transgenic tobacco plants when inoculated with CMV-Co. CMV concentration in the transgenic tobacco plants was decreased to 1/40 of non-transgenic tobacco plants. The kanamycin resistance gene of the transgenic tobacco plants was also detected in the progeny.

  • PDF

Study on the Charge-Transfer Complexes Formed between the Derivatives of Nitrobenzene and Some Organic Solvent Molecules (용매성 유기분자와 니트로벤젠 및 그의 유도체와의 전하전이 착물에 관한 연구)

  • Doo-Soon Shin;Si-Joong Kim
    • Journal of the Korean Chemical Society
    • /
    • v.17 no.2
    • /
    • pp.85-94
    • /
    • 1973
  • The stability constants of the charge-transfer complexes formed between three derivatives of nitrobenzene, i.e., 1,3,5-trinitrobenzene, m-dinitrobenzene, nitrobenzene and eleven organic molecules such as $\alpha-picoline$, pyridine, dimethylsulfoxide, N, N'-dimethylacetamide, tetrahydrofurane, 1, 4-dioxane, diethyl ether, acetonitrile, propylene oxide, epichlorohydrine, and methyl acetate, have been determined by ultraviolet absorption spectroscopy in carbon tetrachloride solution at 25.0$^{\circ}C$. The parameters of the electrostatic effect ($E_D$) and covalent effect ($C_D$) for the eleven organic compounds have been calculated from the modified equation of the double-scale enthalpy,$logK = E_AC_A+E_DC_D$ and also the shift of C=O vibrational frequency in infrared spectra for N,N'-dimethylacetamide have been measured from the solutions of above organic compounds. The empirical equation, ${\Delta}{\nu}_{C=O} = 37.4-5.47E_D+12.1C_D$, related to the parameters and the frequency shift has been derived. It seems that the stabilities of the complexes principally depend on the covalent effect. Especially it is found that $\pi$ orbitals in molecules, in addition to the parameters, play the important role in forming the charge-transfer complexes.

  • PDF

Responses to Infection of Tobacco Mosaic Virus Pepper Strain (TMV-P) in Transgenic Tobacco Plants Expressing the TMV-P Coat Protein or Its Antisense RNA (담배 모자이크 바이러스 고추계통(TMV-P)의 외피단백질 유전자를 도입한 형질전환 담배의 TMV-P에 대한 반응)

  • 최장경;홍은주;이재열;장무웅
    • Korean Journal Plant Pathology
    • /
    • v.11 no.4
    • /
    • pp.374-379
    • /
    • 1995
  • The cDNA of tobacco mosaic virus-pepper strain (TMV-P) coat protein (CP) genes were introduced into tobacco plants (Nicotiana tabacum cv. Samsun nn) using a binary Ti plasmid vector of Agrobacterium tumefaciens. these cDNAs introduced into tobacco plants were detected by polymerase chain reaction. Symptom development was distinctly suppressed in the transgenic plant introduced buy sense CP cDNA when the plant was inoculated with TMV-P, while in transgenic tobacco plants of antisense CP gene, symptom development was not suppressed as in non-transgenic plants. TMV-P concentration in the sense CP transgenic tobacco plant was decreased to 1/14 of the concentration in non-transgenic plants. Expression of the kanamycin resistance gene of these transgenic plants could be detected in the progeny.

  • PDF

Design of Lazy Classifier based on Fuzzy k-Nearest Neighbors and Reconstruction Error (퍼지 k-Nearest Neighbors 와 Reconstruction Error 기반 Lazy Classifier 설계)

  • Roh, Seok-Beom;Ahn, Tae-Chon
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.20 no.1
    • /
    • pp.101-108
    • /
    • 2010
  • In this paper, we proposed a new lazy classifier with fuzzy k-nearest neighbors approach and feature selection which is based on reconstruction error. Reconstruction error is the performance index for locally linear reconstruction. When a new query point is given, fuzzy k-nearest neighbors approach defines the local area where the local classifier is available and assigns the weighting values to the data patterns which are involved within the local area. After defining the local area and assigning the weighting value, the feature selection is carried out to reduce the dimension of the feature space. When some features are selected in terms of the reconstruction error, the local classifier which is a sort of polynomial is developed using weighted least square estimation. In addition, the experimental application covers a comparative analysis including several previously commonly encountered methods such as standard neural networks, support vector machine, linear discriminant analysis, and C4.5 trees.

Efficient Learning and Classification for Vehicle Type using Moving Cast Shadow Elimination in Vehicle Surveillance Video (차량 감시영상에서 그림자 제거를 통한 효율적인 차종의 학습 및 분류)

  • Shin, Wook-Sun;Lee, Chang-Hoon
    • The KIPS Transactions:PartB
    • /
    • v.15B no.1
    • /
    • pp.1-8
    • /
    • 2008
  • Generally, moving objects in surveillance video are extracted by background subtraction or frame difference method. However, moving cast shadows on object distort extracted figures which cause serious detection problems. Especially, analyzing vehicle information in video frames from a fixed surveillance camera on road, we obtain inaccurate results by shadow which vehicle causes. So, Shadow Elimination is essential to extract right objects from frames in surveillance video. And we use shadow removal algorithm for vehicle classification. In our paper, as we suppress moving cast shadow in object, we efficiently discriminate vehicle types. After we fit new object of shadow-removed object as three dimension object, we use extracted attributes for supervised learning to classify vehicle types. In experiment, we use 3 learning methods {IBL, C4.5, NN(Neural Network)} so that we evaluate the result of vehicle classification by shadow elimination.

Downscaling Technique of Monthly GCM Using Daily Precipitation Generator (일 강수발생모형을 이용한 월 단위 GCM의 축소기법에 관한 연구)

  • Kyoung, Min Soo;Lee, Jung Ki;Kim, Hung Soo
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.29 no.5B
    • /
    • pp.441-452
    • /
    • 2009
  • This paper describes the evaluation technique for climate change effect on daily precipitation frequency using daily precipitation generator that can use outputs of the climate model offered by IPCC DDC. Seoul station of KMA was selected as a study site. This study developed daily precipitation generation model based on two-state markov chain model which have transition probability, scale parameter, and shape parameter of Gamma-2 distribution. Each parameters were estimated from regression analysis between mentioned parameters and monthly total precipitation. Then the regression equations were applied for computing 4 parameters equal to monthly total precipitation downscaled by K-NN to generate daily precipitation considering climate change. A2 scenario of the BCM2 model was projected based on 20c3m(20th Century climate) scenario and difference of daily rainfall frequency was added to the observed rainfall frequency. Gumbel distribution function was used as a probability density function and parameters were estimated using probability weighted moments method for frequency analysis. As a result, there is a small decrease in 2020s and rainfall frequencies of 2050s, 2080s are little bit increased.

Disease Development in Resistant Tobacco Plants Infected with Tobacco Mosaic Virus and Expression of Pathogenesis-Related Genes in Different Temperature Conditions (TMV에 감염된 저항성 담배 식물체의 온도 조건에 따른 병발생 특성 및 PR 유전자 발현)

  • 김영호;박은경;윤해근;최도일;채순용;강신웅
    • Journal of the Korean Society of Tobacco Science
    • /
    • v.18 no.1
    • /
    • pp.21-29
    • /
    • 1996
  • Tobacco plants resistant (cvs. Xanthi-nc and Samsun-NN) and susceptible (cv. NC 82) to tobacco mosaic virus (TMV) were inoculated with TW to obtain basic information about the characteristics of resistance expression in tobacco plants by examining the viral populations, symptom development and gene expression of pathogenesis-related proteins (PR-proteins) such as PR-1 and $\beta$-1, 3-glucanase in different temperature conditions. TMV populations in resistant plants increased more at 37$^{\circ}C$ than at 27$^{\circ}C$, while the viral populations increased continuously and were not significantly influenced by the temperature conditions in the susceptible tobacco plants. Infection sites of resistant tobacco leaves were remarkably expanded in proportion with increased time at the high temperature.

  • PDF

Voronoi Simulation on the Puncture Phenomena of ZnO Varistors (ZnO 바리스터의 펑처 현상에 관한 보로노이 시뮬레이션)

  • Lee, Yeong-Jong;Hwang, Hwi-Dong;Han, Se-Won;Gang, Hyeong-Bu
    • The Transactions of the Korean Institute of Electrical Engineers C
    • /
    • v.48 no.2
    • /
    • pp.109-116
    • /
    • 1999
  • ZnO Varistor is an electronic ceramic device to absorb the surge voltage from low voltage to high. To investigate the puncture mechanism occurring in NnO varistor, the Voronoi simulation for formulating the relation between the applied voltage and the increase of the temperature inside grain is applied. The Voronoi network can realize the structure of the practical varistor better than the established simple network. Using the current through each grain and the voltage applied to the grain, Joule heating energy is calculated and the phenomenon that the puncture occurs can be analyzed quantitatively by simulating the electric and thermal characteristics according to the externally applied pulsed voltage.

  • PDF

Comparison of Classification Rate Between BP and ANFIS with FCM Clustering Method on Off-line PD Model of Stator Coil

  • Park Seong-Hee;Lim Kee-Joe;Kang Seong-Hwa;Seo Jeong-Min;Kim Young-Geun
    • KIEE International Transactions on Electrophysics and Applications
    • /
    • v.5C no.3
    • /
    • pp.138-142
    • /
    • 2005
  • In this paper, we compared recognition rates between NN(neural networks) and clustering method as a scheme of off-line PD(partial discharge) diagnosis which occurs at the stator coil of traction motor. To acquire PD data, three defective models are made. PD data for classification were acquired from PD detector. And then statistical distributions are calculated to classify model discharge sources. These statistical distributions were applied as input data of two classification tools, BP(Back propagation algorithm) and ANFIS(adaptive network based fuzzy inference system) pre-processed FCM(fuzzy c-means) clustering method. So, classification rate of BP were somewhat higher than ANFIS. But other items of ANFIS were better than BP; learning time, parameter number, simplicity of algorithm.