• Title/Summary/Keyword: 천이모델

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The change of deflagration to detonation transition by wall cooling effect in ethylene-air mixture (에틸렌-공기 혼합물에서 벽면 온도 감소에 의한 연소폭발천이 현상 변화)

  • Gwak, Min-Cheol;Kim, ki-Hong;Yo, Jai-Ick
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.04a
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    • pp.457-462
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    • 2011
  • This paper presents a numerical investigation of deflagration to detonation transition (DDT) induced by shock wave and flame interaction in ethylene-air mixtures. Also shows the change of DDT triggering time by wall cooling effect. A model is consisted of the compressible reactive Navier-Stokes equations. And the effect of viscosity, thermal conduction, molecular diffusion, chemical reaction and wall effect are included. Using this model, the generation of hot spot by repeated shock and flame interaction, occurrence of detonation, and wall cooling effect of detonation confining boundaries are studied.

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Korean Word Segmentation and Compound-noun Decomposition Using Markov Chain and Syllable N-gram (마코프 체인 밀 음절 N-그램을 이용한 한국어 띄어쓰기 및 복합명사 분리)

  • 권오욱
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.3
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    • pp.274-284
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    • 2002
  • Word segmentation errors occurring in text preprocessing often insert incorrect words into recognition vocabulary and cause poor language models for Korean large vocabulary continuous speech recognition. We propose an automatic word segmentation algorithm using Markov chains and syllable-based n-gram language models in order to correct word segmentation error in teat corpora. We assume that a sentence is generated from a Markov chain. Spaces and non-space characters are generated on self-transitions and other transitions of the Markov chain, respectively Then word segmentation of the sentence is obtained by finding the maximum likelihood path using syllable n-gram scores. In experimental results, the algorithm showed 91.58% word accuracy and 96.69% syllable accuracy for word segmentation of 254 sentence newspaper columns without any spaces. The algorithm improved the word accuracy from 91.00% to 96.27% for word segmentation correction at line breaks and yielded the decomposition accuracy of 96.22% for compound-noun decomposition.

On the Rotational Barrier of Organic Molecules (I). Role of Axial Carbon in Ethane (유기분자의 내부 회전장벽에 관한 이론적 연구 (제1보). 에탄에서의 중심 탄소의 역할)

  • Young Sik Kim;Hojing Kim
    • Journal of the Korean Chemical Society
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    • v.26 no.3
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    • pp.117-127
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    • 1982
  • In order to analyze the role of axial carbon atoms in rotational barrier of ethane, we take the carbonless ethane, as a model, which is made of six hydrogens in coordinates of ethane. The energy of the system is calculated by McWeeny's open-shell restricted Hartree-Foch selfconsistent-field (RHF-SCF) method, and the transition density on the staggered-to-eclipsed rotation is examined. As being expected, the eclipsed form of the model is more stable than the staggered one. Through the transition density comparison of this model and real ethane, it is found that the existence of the axial carbon atoms induces the electronic density to be diluted in the vicinity of protonic sites and to be attracted to the region of carbon atoms or further to C-C bond region as the barrier is traversed. This migration of electronic charge tell us that the barrier to the internal rotation of ethane originates from the fact that the magnitude of electronic energy depression is not large enough to offset the increased nuclear-nuclear repulsion on the staggered-to-eclipsed rotation.

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Fast Distributed Network File System using State Transition Model in the Media Streaming System (미디어 스트리밍 시스템에서의 상태 천이 모델을 활용한 고속 분산 네트워크 파일 시스템)

  • Woo, Soon;Lee, Jun-Pyo
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.6
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    • pp.145-152
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    • 2012
  • Due to the large sizes of streaming media, previous delivery techniques are not providing optimal performance. For this purpose, video proxy server is employed for reducing the bandwidth consumption, network congestion, and network traffic. This paper proposes a fast distributed network file system using state transition model in the media streaming system for efficient utilization of video proxy server. The proposed method is composed of three steps: step 1. Training process using state transition model, step 2. base and decision probability generation, and step 3. storing and deletion based on probability. In addition, storage space of video proxy server is divided into each segment area in order to store the segments efficiently and to avoid the fragmentation. The simulation results show that the proposed method performs better than other methods in terms of hit rate and number of deletion. Therefore, the proposed method provides the lowest user start-up latency and the highest bandwidth saving significantly.

Seasonal Succession of Zooplankton Community in a Large Reservoir of Summer Monsoon Region (Lake Soyang) (몬순지역 대형댐(소양호)에서 동물플랑크톤 군집의 계절천이)

  • Kim, Moon Sook;Kim, Bomchul;Jun, Man-Sig
    • Korean Journal of Ecology and Environment
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    • v.52 no.1
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    • pp.40-49
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    • 2019
  • Seasonal succession of zooplankton community and species composition was studied from 2003 to 2014 in a deep reservoir, Lake Soyang, in monsoon climate region, Korea. Annual precipitation was concentrated more than 70% between June and September and it showed remarkably that seasonal variation in water quality. Seasonal variation of water quality in Lake Soyang appeared to be more significant than annual variations, and the inflow of turbid water during the summer rainfall was the most important environmental factor. Zooplankton sepecies composition in Lake Soyang showed obvious tendency through two periods (May to June and August to October) every year. Small zooplankton (rotifer; Keratella cochlearis, Polyarthra vulgaris) dominated in spring and mesozooplankton such as copepods and crustaceans were dominant in summer and fall. Zooplankton biomass showed the maximum in September after monsoon rainfall, and chlorophyll showed a similar seasonal variation and it showed a high correlation (r=0.45). The increase of zooplankton biomass is considered to be a bottom-up effect due to the increase of primary producers and inflow of nutrients and organic matter from rainfall. In this study, we found that the variation of zooplankton community was affected by rainfall in monsoon climate region and inflow of turbid water was an important environmental factor, which influenced the water quality, zooplankton seasonal succession in Lake Soyang. It was also considered to be influenced by hydrological characteristics of lake and environment of watershed. In conclusion, seasonal succession of zooplankton species composition was the same as the PEG model. But seasonal succession of zooplankton biomass differed not only in the temperate lake but also in the monsoon region.

Design of a 1.2kW 14V Low Voltage Output High Efficiency Full-Bridge DC-DC Converter (1.2kW 14V 저전압 고효율 플-브릿지 DC-DC 컨버터 설계)

  • Jang, Dong-Wook;Kim, Hoon;Kim, Hee-Jun
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.524-525
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    • 2008
  • 본 논문에서는 각각의 스위치 시비율(Duty ratio)의 변화를 이용한 기존의 풀-브릿지 방식과 두 쌍의 스위치 신호 위상 변화를 이용한 위상천이 풀-브리지(Phase-shift Full-bridge) 방식의 차이점을 서술하였다. 위상천이 컨버터의 안정성을 연구하기 위하여, 출력 전류의 맥동(ripple)을 작게 하는 배전류(Current Doubler) 정류회로와 효율을 높이기 위한 동기 정류기(Synchronous Rectifier)를 포함한 평균화 된 스위치 모델을 제안한다. 이 모델을 이용하여 PSPICE 시뮬레이션을 통해 안정성을 고찰하였으며 1.2kW급 170-14V DC-DC 컨버터의 시작품을 제작 후 시뮬레이션 결과와 시작품 결과를 비교하였다. 시뮬레이션의 경우 위상여유는 $58^{\circ}$ 시작품의 위상여유는 $68^{\circ}$로 나타났으며 교차주파수는 12kHz로 동일하게 나오는 것을 확인하였다. 따라서 제안한 시뮬레이션 모델을 이용하여 실제 회로의 안정성을 예측할 수 있으며 이를 실제 회로 제작에 활용 할 수 있다.

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Image Interpolation Using Hidden Markov Tree Model Without Training in Wavelet Domain (웨이블릿 영역에서 훈련 없는 은닉 마코프 트리 모델을 이용한 영상 보간)

  • 우동헌;엄일규;김유신
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.4
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    • pp.31-37
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    • 2004
  • Wavelet transform is a useful tool for analysis and process of image. This showed good performance in image compression and noise reduction. Wavelet coefficients can be effectively modeled by hidden Markov tree(HMT) model. However, in application of HMT model to image interpolation, training procedure is needed. Moreover, the parameters obtained from training procedure do not match input image well. In this paper, the structure of HMT is used for image interpolation, and the parameters of HMT are obtained from statistical characteristics across wavelet subbands without training procedure. In the proposed method, wavelet coefficient is modeled as Gaussian mixture model(GMM). In GMM, state transition probabilities are determined from statistical transition characteristic of coefficient across subbands, and the variance of each state is estimated using the property of exponential decay of wavelet coefficient. In simulation, the proposed method shows improvement of performance compared with conventional bicubic method and the method using HMT model with training.