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Fuel Stratification Process in a Lean Burn Internal Combustion Engine by Using Planar Laser Induced Fluorescence (PLIF를 이용한 희박연소엔진에서의 연료 성층화에 관한 연구)

  • 정경석
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.3
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    • pp.7-12
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    • 2003
  • Mixture formation in the cylinder of a lean bum engine has been observed by Laser Induced Fluorescence technique. XeCl laser (308nm) was used to produce a laser sheet. 3-pentanone has been added to iso-octane fuel to produce fluorescence, the intensity of which is proportional to the concentration of the fuel. The laser sheet was introduced through the piston window and the fuel distribution in the vertical plane was observed through a side window. Comparison has been made for the cases of selected fuel injection timing as 0, 360, 405, and 450 CA. For the case of 0 and 360 CA injection, uniform fuel distribution in the combustion chamber has been obtained at the ignition time which is favorable for the high load mode. And the late injection cases, 405 and 450 CA, revealed the stratified formation of rich mixture around the spark plug. That extends the lean misfire limit and reduces cyclic variation in the low load mode.

An Experimental Study on the Field Measurement Methods of the Sound Insulation Performance of Window (현장에서의 창의 차음성능 측정방법에 관한 실험적 연구)

  • Lee, Ok-Kyun;Park, Hyeon-Ku;Choi, Hyung-Wook;Song, Hyuk;Kim, Sun-Woo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.600-605
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    • 2000
  • The aim of this study is to compare the sound insulation performances of window depending on the measurement methods through the field test and analyze the factors that affect the sound insulation performances. Four measurement methods which are specified in the Koran Standard 2235 and the International Standard 140-5 were selected for the study; the outdoor sound source method which is classified the l000mm method and the 10mm method, the indoor sound source method, and the ISO method. The result of this study is that the sound insulation performance of the windows was the best when measured according to the ISO method and the worst the indoor sound source method. Through the study it was found that the main factors affecting the sound insulation performance of the windows were the correction of the specimen's area and the equivalent sound absorption area of the receiving room.

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Variation of the Sound Insulation Performance of Window in the Apartment House depending on the Sound Source Characteristics (공동주택에서 음원특성에 따른 외부창호 차음성능 변화)

  • Park, Hyeon-Ku;Lee, Ok-Kyun;Han, Dong-Hwa;Song, Hyuk;Kim, Sun-Woo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.1735-1740
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    • 2000
  • The aim of this study is to analyze the sound insulation performance of windows depending on the sound source types and to propose the noise control method in the apartment house. The regions where apartment houses are constructed are varied in the dominant noise sources such as aircraft noise, railway noise and road traffic noise. For the experiment, nine noise sources including pink noise were selected and recorded, which was used in the experiment by reproducing. As a result of this study, the sound insulation performance of window was found that when the frequency contents of the noise were high level in all frequency bands the difference of sound insulation performance was negligible, but when the frequency contents were low level at particular frequency band the difference of sound insulation performance was shown very differently.

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A Study on the Efficient Speech Recognition System using Database Grouping (어휘 그룹화를 이용한 음성인식시스템의 성능향상에 관한 연구)

  • 우상욱;권승호;한수양;이동규;이두수
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2455-2458
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    • 2003
  • In this paper, the Classification of Energy Labeling has been Proposed. Energy Parameters of input signal which is extracted from each phoneme is labelled. And groups of labelling according to detected energies of input signals are detected. Next, DTW processes in a selected group of labeling. This leads to DTW processing faster than a previous algorithm. In this Method, because an accurate detection of parameters is necessary on the assumption in steps of a detection of speeching duration and a detection of energy parameters, variable windows which are decided by pitch period is used. Extract algorithms don't search for exact frame energy, because 256 frame window-sizes is fixed. For this reason, a new energy extraction method has been proposed. A pitch period is detected firstly; next window scale is decided between 200 frames and 300 frames. The proposed method make it possible to cancel an influence of windows.

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Assessment of Interpolation Schemes in the Window Deformation PIV (조사구간 윈도우 변형을 이용한 PIV에서 보간법 평가)

  • Kim, Byoung-Jae;Sung, Hyung-Jin
    • Journal of the Korean Society of Visualization
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    • v.4 no.2
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    • pp.59-68
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    • 2006
  • We have evaluated the performances of the following six interpolation schemes used for win-dow deformation in particle image velocimetry (PIV): the linear, quadratic, B-spline, cubic, sinc, Lagrange interpolations. Artificially generated images comprised of particles of diameter in a range pixel were investigated. Three particle diameters were selected for detailed evaluation: pixel with a constant particle concentration $0.02particle/pixel^2$. Two flow patterns were considered: uniform and shear flows. The mean and random errors, and the computation times of the interpolation schemes were determined and compared.

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Proper Arc Welding Condition Derivation of Auto-body Steel by Artificial Neural Network (신경망 알고리즘을 이용한 차체용 강판 아크 용접 조건 도출)

  • Cho, Jungho
    • Journal of Welding and Joining
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    • v.32 no.2
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    • pp.43-47
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    • 2014
  • Famous artificial neural network (ANN) is applied to predict proper process window of arc welding. Target weldment is variously combined lap joint fillet welding of automotive steel plates. ANN's system variable such as number of hidden layers, perceptrons and transfer function are carefully selected through case by case test. Input variables are welding condition and steel plate combination, for example, welding machine type, shield gas composition, current, speed and strength, thickness of base material. The number of each input variable referred in welding experiment is counted and provided to make it possible to presume the qualitative precision and limit of prediction. One of experimental process windows is excluded for predictability estimation and the rest are applied for neural network training. As expected from basic ANN theory, experimental condition composed of frequently referred input variables showed relatively more precise prediction while rarely referred set showed poorer result. As conclusion, application of ANN to arc welding process window derivation showed comparatively practical feasibility while it still needs more training for higher precision.

A New Backoff algorithm considering Hop Count for the IEEE 802.11 Distributed Coordination Function

  • Nam, Jae-Hyun
    • Journal of information and communication convergence engineering
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    • v.5 no.3
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    • pp.205-208
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    • 2007
  • The IEEE 802.11 is a MAC protocol which has been standardized by IEEE for Wireless Local Area Networks (WLANs). In the IEEE 802.11 WLANs, network nodes experiencing collisions on the shared channel need to backoff for a random period of time, which is uniformly selected from the Contention Window (CW). This contention window is dynamically controlled by the Binary Exponential Backoff (BEB) algorithm. However, the BEB scheme suffers from a fairness problem; some nodes can achieve significantly larger throughput than others. This paper proposes a new backoff algorithm for the IEEE 802.11 DCF scheme. This algorithm uses the hop count for considering fairness. It causes flows with high hop count to generate short backoff interval than those with low hop count, thus getting high priority. Therefore, when a collision occurs, the modified IEEE 802.11 DCF assigns higher priority to flow to be close to a destination.

조사구간 윈도우 변형을 이용한 PIV에서 보간법 평가

  • Kim, Byeong-Jae;Seong, Hyeong-Jin
    • 한국가시화정보학회:학술대회논문집
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    • 2006.12a
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    • pp.25-35
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    • 2006
  • We have evaluated the performances of the following six interpolation schemes used for window deformation in particle image velocimetry (PIV): the linear, quadratic, B-spline, cubic, sinc, Lagrange interpolations. Artificially generated images comprised of particles of diameter in a range $1.1{\leq}d_p\leq10.0$ pixel were investigated. Three particle diameters were selected for detailed evaluation: $d_p$=2.2, 3.3, 4.4 pixel with a constant particle concentration 0.02 $particle/pixel^2$. Two flow patterns were considered: uniform and shear flows. The mean and random errors, and the computation times of the interpolation schemes were determined and compared.

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Performance Evaluation of Graphic Platforms for GUI Implementation in Embedded Linux System (임베디드 리눅스 시스템에서의 GUI 구현을 위한 그래픽 플랫폼 성능 평가)

  • Kim, Young-ju
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.831-834
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    • 2009
  • Embedded linux system cann't take up the X-window-based GUI platform commonly used in PC platforms because of low performance in hardware. For the GUI implementation in embedded linux system, the lightwieight graphic library is needed, which supports simplified functions and the usage of little resource. In this paper, several of popular open-source graphic libraries are selected and evaluated for the adoption of an efficient library in the GUI implementation for multimedia embedded system requiring the simple and intuitional user interface.

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Measuring the Dynamic Efficiency of Government Research Institutes in R&D and Commercialization by DEA Window Analysis (DEA 윈도우 분석을 이용한 정부출연연구기관의 연구개발 사업화 동태적 효율성 분석)

  • Lee, Seonghee;Kim, Taesoo;Lee, Hakyeon
    • Korean Management Science Review
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    • v.32 no.4
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    • pp.193-207
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    • 2015
  • Government-funded research institutes (GRIs) have played a pivotal role in national R&D in Korea. To achieve desired goals of GRIs with the limited R&D budget, their performance along with time needs to be measured and compared so that appropriate R&D policies can be formulated and implemented. This study measures the dynamic performance of GRIs from the efficiency perspective using the window model of data envelopment analysis (DEA). DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs, and the DEA window model can capture the dynamic changes in efficiency of DMUs during multiple periods. The relative efficiency of GRIs is measured from the two perspectives: R&D and R&BD. Patents, papers, technology transfers are selected as outputs for R&D while compensated technology transfers and technology royalty are employed as outputs for R&BD. This study measures and compares the two types of performance of 20 Korean GRIs under the control of National Research Council of Science and Technology during the period of six years from 2008 to 2013. The results are expected to provide fruitful implications for national R&D policy making.