• Title/Summary/Keyword: nonhomogeneous

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The Hybrid Rocket Internal Ballistics with Two-phase Fluid Modeling for Self-pressurizing $N_2O$ I (자발가압 성질을 가진 아산화질소의 2상유체 모델링을 통한 하이브리드 로켓 내탄도 해석 I)

  • Lee, Jung-Pyo;Rhee, Sun-Jae;Woo, Kyoung-Jin;Oh, Ji-Sung;Jung, Sik-Hang;Moon, Hee-Jang;Sung, Hong-Gye;Kim, Jin-Kon
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.11a
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    • pp.45-49
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    • 2011
  • The blow-down oxidizer feed system with self-pressurizing $N_2O$ has more advantages than the regulated system. However, it is difficult to predict the exhaust flow rate because there exist two phases in the $N_2O$ tank - liquid phase and gas phase, and the properties of $N_2O$ in storage tank are varied continuously during blow-down. In this paper, a method that can analyse simply the blow-down oxidizer feed system is studied. The properties of saturated $N_2O$ are found from the NIST data base, and mass flow through the orifice is modeled as NHNE. Cold flow test with hybrid rocket combustor is performed for the comparison where the results should found from the good agreement.

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Clinicopathological Findings and Five Year Survival Rates for Patients with Central Nervous System Tumors in Yazd, Iran

  • Zahir, Shokouh Taghipour;Vakili, Mahmood;Navabii, Hossein;Rahmani, Koorosh
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.23
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    • pp.10319-10323
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    • 2015
  • Background: The incidence rate of brain tumors has increased more than 40% in the past 20 years, especially in adults. We aimed to study the clinical and pathological findings of central nervous system (CNS) tumor patients and to evaluate their 5 year survival rates. Materials and Methods: The archives of all patients with CNS tumors in 6 health care centers in Yazd, Iran, from 2006 to 2013, were studied. Patients data were extracted using a checklist which included age, sex, date of reference and diagnosis, date of death, clinical signs, radiography findings, pathology report, size and location of tumor, patient treatment and grade of tumor. Results: A total of 306 patient records were studied in the 8 year period. The most prevalent type of tumor was astrocytoma (n=113, 36.9%). The frequency of almost all tumor types was statistically higher in male patients (p=0.025). In most cases surgery with radiotherapy was the treatment of choice (49.3%). The most frequent symptom reported was headache (in 60.8% of patients) followed by convulsions (15.7%). Most of the tumors were located in the right hemisphere (46.1%) and the frontal and parietal lobe (26% and 12%, respectively). Radiography findings displayed edema with a nonhomogeneous lesion in majority of the patients (87%). The survival fraction of the patients with malignant tumors decreased over time (0.807 in the first year and 0.358 at the end of the $5^{th}$ year). Conclusions: Astrocytoma was the more common CNS tumor with male predominance. Overall survival rates of malignant tumors decreased over time and this was in relation with tumor grade.

The study for NHPP Software Reliability Model based on Kappa(2) distribution (Kappa(2) NHPP에 의한 소프트웨어 신뢰성 모형에 관한 연구)

  • Kim, Hee-Cheul
    • Journal of the Korea Computer Industry Society
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    • v.6 no.5
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    • pp.689-696
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    • 2005
  • Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the Kappa(2) reliability model, which can capture the nomotonic decreasing nature of the failure occurrence rate per fault. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on sum of the squared errors and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using real data set, SYS2(Allen P.Nikora and Michael R.Lyu), for the sake of proposing two parameter of the Kappa distribution, was employed. This analysis of failure data compared with the Kappa model and the existing model using arithmetic and Laplace trend tests, bias tests is presented.

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The microwave dielectric characteristics of $(Li_{1/2}Nd_{1/2})TiO_3$ ceramics by the addition of $TiO_2$ (과잉 $TiO_2$ 첨가에 의한 $(Li_{1/2}Nd_{1/2})TiO_3$ 세라믹스의 고주파 유전특성)

  • 박종목;이응상
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.7 no.2
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    • pp.301-308
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    • 1997
  • The LNT ceramics which has the large negative temperature coefficient of resonant frequency ($\tau_1$) were manufactured by varying the $TiO_2$ contents. The effects of secondary phase $TiO_2$ which was caused by excess $TiO_2$ on the microstructure, phase transformations and microwave dielectric properties in ($Li_{1/2}Nd_{1/2}$)$TiO_3$ binary system were studied by X-ray and SEM. In case of adding up to 5 mol% $TiO_2$ on LNT, the liquid phase $TiO_2$which was created in the grain boundary of LNT not only increased the bulk density but also caused the nonhomogeneous structure of LNT which reduced the microwave dielectric characteristics. But the temperature coefficient of resonant frequency was improved by the 10 mol% addition of $TiO_2$.

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The NHPP Bayesian Software Reliability Model Using Latent Variables (잠재변수를 이용한 NHPP 베이지안 소프트웨어 신뢰성 모형에 관한 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • Convergence Security Journal
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    • v.6 no.3
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    • pp.117-126
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    • 2006
  • Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, could avoid multiple integration using Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference for general order statistics models in software reliability with diffuse prior information and model selection method are studied. For model determination and selection, explored goodness of fit (the error sum of squares), trend tests. The methodology developed in this paper is exemplified with a software reliability random data set introduced by of Weibull distribution(shape 2 & scale 5) of Minitab (version 14) statistical package.

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The Effect of Mold Shapes on the Fiber Orientation of Welding Parts for Injectin Molding of Fiber Reinforced Polymeric Composites (섬유강화 고분자 복합재료의 사출성형에 있어서 웰드부의 섬유배향에 미치는 금형형상의 영향)

  • Kang, M. G.;Choi, Y. S.;Kim, H.;Lee, D. G.;Han, G. Y.;Kim, E. G.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.457-460
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    • 2000
  • Injection molding is the most widely used process for the industrial forming of plastic articles. During an injection molding process of composites, the fiber-matrix separation and fiber orientation are caused by the flow of molten polymer/fiber mixture. As a result, the product tends to be nonhomogeneous and anisotropic. Hence, it is very important to clarify the relations between separation·orientation and infection molding conditions. So far, there is no research on the measurement of fiber orientation using image processing. In this study, the effects of fiber content ratio and molding condition on the fiber orientation-angle distributions are studied experimentally. Using the image processing method, the fiber orientation distribution of welding parts in injection-molded products is assessed. And the effects of fiber content and injection mold shapes on the fiber orientation in case of fiber reinforced polymeric composites are studied. experimentally.

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Analytical Investigation on Elastic Behaviors of Isotropic Annular Sector Plates Subjected to Uniform Loading (등분포하중을 받는 등방성 환형 섹터판의 탄성 거동에 대한 해석적 연구)

  • Kim, Kyung-Sik
    • Journal of Korean Society of Steel Construction
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    • v.22 no.3
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    • pp.241-251
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    • 2010
  • This paper presents the development of a new analytical solution to the governing differential equation for isotropic annular sector plates subjected to uniform loading in a three-dimensional polar coordinate system. The 4th order governing partial differential equation (PDE) was converted to an ordinary differential equation (ODE) by assuming the Levy-type series solution form and the subsequent mathematical operations. Finally, a series-type solution was assembled with homogeneous and nonhomogeneous solution parts after operating real values and complex conjugates derived from the characteristic equation. To demonstrate the convergence rate and the accuracy of the featured method, several examples with various sector angles were selected and solved. The deflections and internal moments in the example annular sector plates that were obtained from the proposed solution were compared with those obtained from other analytical studies and numerical analyses using the finite element analysis package program, ABAQUS. Very good agreement with the results of other analytical and numerical methodologies was shown.

Optimum Size Analysis for Dam Rehabilitation Using Reliability Analysis (신뢰성 분석을 통한 기존 댐 재개발의 적정규모 결정의 관한 연구)

  • Kwon, Hyun-Han;Moon, Young-Il;Choi, Byung-Gyu;Yoon, Yong-Nam
    • Journal of Korea Water Resources Association
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    • v.38 no.2
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    • pp.97-110
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    • 2005
  • This paper presents a procedure of evaluation of reservoir capacity for additional water storage for dam rehabilitation. One of the techniques on the extension of rainfall has been developed, and the daily stream flows were simulated by the NWS-PC long-term rainfall-runoff model with the input of the extended daily rainfall which was stochastically generated by the nonhomogeneous markov chain model. We peformed a reliability analysis to Guisan dam about the optimal capacity of dam rehabilitation by using performance criteria that Hashimoto et al. (1982) presented. We estimated that the most suitable water level is approximately 155EL.M. suggested that this method can use supplemental methods to estimate optimum dam scale.

A Study on the Comparative Utilization of Cone Penetration Test and Seismic Prospecting (콘관입시험과 탄성파탐사의 비교 이용에 관한 연구)

  • 송무영;김팔규;김연천;류권일
    • The Journal of Engineering Geology
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    • v.8 no.1
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    • pp.25-34
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    • 1998
  • It is not easy to understand exact soil properties, because soil is nonhomogeneous and anisotropic. There are raany inefficient cases in aspect of time and economy in site survey. So this study tried to analyze the correlation of cone resistance and seismic velocity in order to present an efficient method in ground investigation. A cone penetrometer is frequently used to investigate soil properties, which are especially fit to investigate coastal soft ground. A portable cone penetrometer was used in this research. A portable cone penetrometer has an advantage in investigating the state of soil swiftly and is convenient to manipulate. Also, seismic prospecting is one of the most PoPular methods among geophysical prospecting methods in the estimation of ground properties and its usage is continuously increasing in the survey of soft ground Cone resistance makes a regular group according to stratum in each depth. The results of seismic prospecting show a tendency to have a certain coherence according to the boundary of straturft Therefore, cone resistance and seisrnic prospecting have considerable relations that rnay irnprnve the efficiency of ground investigation.

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The Study for NHPP Software Reliability Growth Model based on Exponentiated Exponential Distribution (지수화 지수 분포에 의존한 NHPP 소프트웨어 신뢰성장 모형에 관한 연구)

  • Kim, Hee-Cheul
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.5 s.43
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    • pp.9-18
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    • 2006
  • Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the exponentiated exponential distribution reliability model, which maked out efficiency substituted for gamma and Weibull model(2 parameter shape illustrated by Gupta and Kundu(2001) Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE, AIC statistics and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using NTDS data set for the sake of proposing shape parameter of the exponentiated exponential distribution was employed. This analysis of failure data compared with the exponentiated exponential distribution model and the existing model (using arithmetic and Laplace trend tests, bias tests) is presented.

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