• Title/Summary/Keyword: Density based Method

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Methodology for Describing Different Phase States of Molecular Nitrogen

  • Cho, Haeng Muk;Kudryavtsev, I.N.;Kramskoy, A.V.
    • Journal of Energy Engineering
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    • v.23 no.4
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    • pp.215-222
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    • 2014
  • A theory-based methodology for describing the thermodynamic properties of molecular nitrogen is presented. The results obtained indicate a successful application of a fully consistent statistical method for the description of a molecular system in different phase states. The method employs a density of states equation for solid nitrogen and a perturbation potential for gaseous and liquid nitrogen. The main characteristics of the calculation method include the need for a minimal number of initial data and the absence of fitting parameters. The adequacy of the physical model that is the basis for the method allows a description of existing experimental data and the peculiarities of the thermodynamic properties.

The Study on a Dynamic Analysis of Permanent Magnet Generator considering Overhang Effect (오버행을 고려한 영구자석 동기 발전기의 동특성 해석 연구)

  • Kim, Ki-Chan;Lee, Ju
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2006.12a
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    • pp.58-62
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    • 2006
  • The purpose of this paper is characteristic analysis of permanent magnet generator (PMG) for automatic voltage regulator (AVR)power of brush less synchronous generator. However, this PMG has a spoke type permanent magnet rotor with large overhang for high power density, characteristic analysis considering concentration effect of air-gap flux density due to the overhang should be performed. 30 transient finite element method (FEM)analysis is good solution for overhang parameter, but this method needs too much calculation time. In this paper, we examined the overhang effects based on overhang length and material of rotor core by using 20 and 30 static FEM analysis, and proposed 20 dynamic FEA model considering overhang parameter which gives good and rapid results. The proposed method is verified by the test results of no load, load and short circuit test.

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A study on the stability of Keyblock in underground excavation with consideration of joint persistence (절리 영속성을 고려한 지하굴착에서의 Keyblock 안정성 고찰)

  • 조태진;김석윤
    • Tunnel and Underground Space
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    • v.8 no.4
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    • pp.351-358
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    • 1998
  • A statistical method for assessing the joint persistence based on the in-situ measurement of joint trace length has been derived. This method utilizes the probability density distribution of either the joint trace length or the diameter of hypothetically circular joint diameter depending on the relative size of joint surface to that of the potential keyblock. The stability of potential keyblock with different sizes and joint persistences has been also calculated to illustrate the applicability of the developed method to the design and the safe excavation of large scale underground openings.

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Statistical Model-Based Voice Activity Detection Using Spatial Cues for Dual-Channel Noisy Speech Recognition (이중채널 잡음음성인식을 위한 공간정보를 이용한 통계모델 기반 음성구간 검출)

  • Shin, Min-Hwa;Park, Ji-Hun;Kim, Hong-Kook;Lee, Yeon-Woo;Lee, Seong-Ro
    • Phonetics and Speech Sciences
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    • v.2 no.3
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    • pp.141-148
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    • 2010
  • In this paper, voice activity detection (VAD) for dual-channel noisy speech recognition is proposed in which spatial cues are employed. In the proposed method, a probability model for speech presence/absence is constructed using spatial cues obtained from dual-channel input signal, and a speech activity interval is detected through this probability model. In particular, spatial cues are composed of interaural time differences and interaural level differences of dual-channel speech signals, and the probability model for speech presence/absence is based on a Gaussian kernel density. In order to evaluate the performance of the proposed VAD method, speech recognition is performed for speech segments that only include speech intervals detected by the proposed VAD method. The performance of the proposed method is compared with those of several methods such as an SNR-based method, a direction of arrival (DOA) based method, and a phase vector based method. It is shown from the speech recognition experiments that the proposed method outperforms conventional methods by providing relative word error rates reductions of 11.68%, 41.92%, and 10.15% compared with SNR-based, DOA-based, and phase vector based method, respectively.

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A Study on the Effect of Carbon Nanotube Directional Shrinking Transfer Method for the Performance of CNTFET-based Circuit (탄소나노튜브 방향성 수축 전송 방법이 CNTFET 기반 회로 성능에 미치는 영향에 관한 연구)

  • Cho, Geunho
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.3
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    • pp.287-291
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    • 2018
  • The CNTFET, which is attracting attention as a next-generation semiconductor device, can obtain ballistic or near-ballistic transport at a lower voltage than that of conventional MOSFETs by depositing CNTs between the source and drain of the device. In order to increase the performance of the CNTFET, a large number of CNTs must be deposited at a high density in the CNTFET. Thus, various manufacturing processes to increase the density of the CNTs have been developed. Recently, the Directional Shrinking Transfer Method was developed and showed that the current density of the CNTFET device could be increased up to 150 uA/um. So, this method enhances the possibility of implementing a CNTFET-based integrated circuit. In this paper, we will discuss how to evaluate the performance of the CNTFET device compared to a MOSFET at the circuit level when the CNTFET is fabricated by the Directional Shrinkage Transfer Method.

Reliability Analysis Using Parametric and Nonparametric Input Modeling Methods (모수적·비모수적 입력모델링 기법을 이용한 신뢰성 해석)

  • Kang, Young-Jin;Hong, Jimin;Lim, O-Kaung;Noh, Yoojeong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.1
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    • pp.87-94
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    • 2017
  • Reliability analysis(RA) and Reliability-based design optimization(RBDO) require statistical modeling of input random variables, which is parametrically or nonparametrically determined based on experimental data. For the parametric method, goodness-of-fit (GOF) test and model selection method are widely used, and a sequential statistical modeling method combining the merits of the two methods has been recently proposed. Kernel density estimation(KDE) is often used as a nonparametric method, and it well describes a distribution function when the number of data is small or a density function has multimodal distribution. Although accurate statistical models are needed to obtain accurate RA and RBDO results, accurate statistical modeling is difficult when the number of data is small. In this study, the accuracy of two statistical modeling methods, SSM and KDE, were compared according to the number of data. Through numerical examples, the RA results using the input models modeled by two methods were compared, and appropriate modeling method was proposed according to the number of data.

Uncertainty Analysis of the Optical Smoke Density Measurement through the Doorway in a Compartment Fire (구획화재의 출입구를 통한 광학적 연기밀도 측정의 불확실성 해석)

  • Kim, Sung-Chan
    • Fire Science and Engineering
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    • v.27 no.2
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    • pp.75-79
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    • 2013
  • The present study measured the light transmission to quantify the smoke density(smoke mass concentration) through the doorway in a compartment fire and performed the uncertainty analysis to evaluate the reliability of the measurement technique. The optical light extinction method based on Bourguer's law was applied to estimate the smoke density of doorway exhausting smoke flow in upper layer of a compartment for methane gas fires. The measurement uncertainty of the light extinction measurement was evaluated for the light transmittance, path length, and specific mass extinction coefficient and the expanded uncertainty was estimated about 20% with confidence level of 95%. The mean smoke density through the doorway for the methane fire was calculated for quasi-steady fire and the smoke density linearly increased as the GER increased.

Calcium Status and Bone Mineral Density by the Level of Sodium Intake in Young Women (성인 여성의 나트륨 섭취수준과 칼슘 영양상태 및 골밀도)

  • Yoon, Jin-Sook;Lee, Mi Jung
    • Korean Journal of Community Nutrition
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    • v.18 no.2
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    • pp.125-133
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    • 2013
  • Previous studies have shown that sodium excretion is positively related to calcium excretion in the urine. As excessive sodium intake is a common nutritional problem in Korea, we intended to investigate associations among sodium intake levels and calcium status, evaluated by 24 hour recall method and urinary excretion, and bone status. We collected dietary information for non-consecutive three days from 139 young adult women 19~29 years. After classifying the subjects into 4 groups based on the dietary sodium levels by daily total sodium intake (mg) and sodium density (sodium intake per 1000 kcal energy intake), we compared the bone status, nutrient intakes, urinary calcium and sodium excretions. The results showed a positive association between total daily sodium intake and intake of other nutrients. However, no significant differences in nutrients intakes were observed among subject groups classified by sodium density levels. There were no significant differences of bone density among groups by total daily sodium intake as well as by sodium density. While total daily sodium intake showed significantly positive relationship with urinary sodium (p < 0.05) and calcium (p < 0.05), sodium density was not related to urinary excretion of calcium and sodium. Our results suggested that promoting balanced meals providing appropriate amounts of energy intake is the essential component of nutrition education for improving calcium status of young Korean women with excessive sodium intake.

THREE-DIMENSIONAL CORE DESIGN OF A SUPER FAST REACTOR WITH A HIGH POWER DENSITY

  • Cao, Liangzhi;Oka, Yoshiaki;Ishiwatari, Yuki;Ikejiri, Satoshi;Ju, Haitao
    • Nuclear Engineering and Technology
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    • v.42 no.1
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    • pp.47-54
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    • 2010
  • The SuperCritical Water-cooled Reactor (SCWR) pursues high power density to reduce its capital cost. The fast spectrum SCWR, called a super fast reactor, can be designed with a higher power density than thermal spectrum SCWR. The mechanism of increasing the average power density of the super fast reactor is studied theoretically and numerically. Some key parameters affecting the average power density, including fuel pin outer diameter, fuel pitch, power peaking factor, and the fraction of seed assemblies, are analyzed and optimized to achieve a more compact core. Based on those sensitivity analyses, a compact super fast reactor is successfully designed with an average power density of 294.8 W/$cm^3$. The core characteristics are analyzed by using three-dimensional neutronics/thermal-hydraulics coupling method. Numerical results show that all of the design criteria and goals are satisfied.

Interference Analysis based on the Monte-Carlo Method (Monte-Carlo 기반의 간섭분석에 관한 연구)

  • Kim, Seong-Kweon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.2
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    • pp.58-64
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    • 2008
  • In this paper, we proposed the methodology of interference analysis based on monte-carlo method for effective use of Industrial, Scientific, Medical (ISM) band. The interference scenario is divided according to the distance and density. The simulation of interference analysis evaluates the interference probability according to distribution density of Interfering Transmitters (It) in the Secure Interference Area (SIA). The SIA is gained from the Interference Efficiency Range that satisfied to Interference Permissible Range of Victim Receiver (Vr). Simulation result that apply the proposed interference scenario to the WLAN and bluetooth, Interference Permissible Range was 60~400m. And the WLAN was acceptable within interference permissible range to six bluetooth that exist in the SIA. In the same condition, when applied Listen Before Talk (LBT) based on Cognitive Radio (CR) to the bluetooth using Frequency Hopping (FH), interference probability was decreased sharply. The Spectrum Engineering Advanced Monte Carlo Analysis Tool (SEAMCAT) that has been developed based on the monte-carlo method by European Radio-communications Office (ERO) were used to the interference simulation.

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