• Title/Summary/Keyword: second order effects

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ADJOINT SYSTEM FOR A MAGNETO-CONVECTIVE FLOW IN AN ACTIVE MUSHY LAYER

  • Bhatta, Dambaru;Riahi, Daniel N.
    • Journal of applied mathematics & informatics
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    • v.29 no.5_6
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    • pp.1269-1283
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    • 2011
  • Here we consider magneto-convection in a mushy layer which is formed during solidification of binary alloys. The mushy layer is treated as an active porous media with variable permeability. The equations governing the layer are conservation of mass, conservation of heat, conservation of solute, magnetic induction equation, momentum equation governed by the Darcy's law and Maxwell's equations for the magnetic field. To study the second order effects on the flow without solving the second order system, we need to obtain the adjoint system for the flow. This motivates the authors we derive the adjoint system analytically for the mushy layer case. Numerical results of the adjoint system are presented for passive and active mushy layers at the onset of the motion using a set of parameters experimentalists use.

Self-esteem and Stress in a Child of Deficiency Family (결손가정아동의 자아존중감 및 스트레스에 관한 연구)

  • Park, Sung-Ok;Shin, Kui-Soon;Park, Jung-Ok
    • Korean Journal of Human Ecology
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    • v.12 no.4
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    • pp.403-416
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    • 2003
  • The recent study was examined the effects of stress related to self-esteem upon the types of deficiency, the genders, the grades. A Questionnaire was distributed to 172 elementary school students in 4th, 5th and 6th grades. The results of this study were as follows : First, children's stresses were related to their self-esteem and their self-esteem was explained mostly by the stress from home environment. Second, children's stress upon the birth order was higher in the first than in the second and the third birth order. Third, their self-esteem was explained mostly by the support from friends, teachers, and academic fields. Forth, children's stress of divorced and separated families as a reason of deficiency was higher than their stress upon the separation by death.

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Equilibrium modeling for adsorption of NO3- from aqueous solution on activated carbon produced from pomegranate peel

  • Rouabeh, I.;Amrani, M.
    • Advances in environmental research
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    • v.1 no.2
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    • pp.143-151
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    • 2012
  • Nitrate removal from aqueous solution was investigated using $ZnCl_2$ and phosphoric acid activated carbon developed from pomegranate peel with particle size 0.4 mm. Potassium nitrate solution was used in batch adsorption experiments for nitrate removal from water. The effects of activated carbon dosage, time of contact, and pH were studied. The equilibrium time was fond to be 45 min. Two theoretical adsorption isotherms namely Langmuir and Freundlich were used to describe the experimental results. The Langmuir fit the isotherm with the theoretical adsorption capacity ($q_t$) was fond 78.125 mg g-1. Adsorption kinetics data were modeled using the pseudo-first, pseudo-second order, and intraparticle diffusion models. The results indicate that the second-order model best describes adsorption kinetic data. Results show activated carbon produced from pomegranate is effective for removal of nitrate from aqueous solution.

Enthalpy Flow Loss by Steady Mass Streaming in Pulse Tube Refrigerators (맥동관냉동기의 정상상태 질량흐름에 의한 엔탈피손실)

  • 백상호;정은수
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.12 no.7
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    • pp.623-631
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    • 2000
  • Effects of the taper angle and the angular velocity of a pulse tube on the enthalpy flow loss associated with the steady mass streaming were analysis by two-dimensional analysis of a pulse tube with variable cross-section. It was shown that the steady mass flux can lead to a large steady second-order temperature. The enthalpy flow loss associated with the steady mass streaming increases as the angular velocity increases. For a pulse tube where the viscous penetration depth is far thinner than the inner radius, the enthalpy flow loss can be significantly reduced by tapering the pulse tube since both the steady mass flux and the steady second-order temperature decrease as the taper angle increase.

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자기 수업 관찰 행위가 수학 수업 개선에 미치는 효과 연구

  • Gwon, Young-In;Kim, Mi-Ok
    • East Asian mathematical journal
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    • v.23 no.3
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    • pp.271-302
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    • 2007
  • The purpose of this study is to study how effective teachers' self reflectiveness are on enhancing mathematics teaching activities. Researcher is the object of the study and relating preceding researches, establish some instruments for study. This research was examined for six times from fifth week of March to second week of May. In order to accomplish this study, one class of the first grade of high school in Ulsan was selected. In order to define the changes of teaching activity, the first lecture was practiced without analyzing or reflective activity. From the second lecture, analyze and reflect own teaching activity with recording. After finishing all lecture, distribute the recordings to observers and other teachers and then, get measured. Based on the results, self reflective teaching makes great effects on enhancing teachers' teaching activities. Through teachers' own reflective teaching, they can know their advantages and disadvantages, repeatable was of speaking, and the acknowledgement of objectives. And, finally, they can enhance their teaching activity by reflective teaching.

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Analysis of Metal Transfer using Dynamic Force Balance Model in GMAW (동적 힘 평형 모델을 이용한 GMA 용접의 용적이행 해석)

  • 최재형;이지혜;유중돈
    • Journal of Welding and Joining
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    • v.19 no.4
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    • pp.399-405
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    • 2001
  • A dynamic force balance model is proposed in this work as an extension of the previous static force balance model to predict metal transfer in arc welding. Dynamics of a pendant drop is modeled as the second order system, which consists of the mass, spring and damper. The spring constant of a spherical drop at equilibrium is derived in the closed-form equation, and the inertia force caused by drop vibration is included in the drop detaching condition. While the inertia force is small in the low current range, it becomes larger than the gravitational force with current increase. The inertia force reaches half of the electromagnetic force at transition current, and has considerable effects on drop detachment. The proposed dynamic force balance model predicts the detaching drop size more accurately than the static force balance model.

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Nonlinear Stability Analysis of Slender Concrete Columns (세장한 콘크리트 기둥의 비선형 안정 해석)

  • 김진근;양주경;김원근
    • Proceedings of the Korea Concrete Institute Conference
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    • 1992.04a
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    • pp.80-85
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    • 1992
  • A nonlinear second-order analysis program that properly describes the nonlinear behavior of concrete was developed by using the layering technique. As the slenderness ratio of column is increased, the peaks of P-M curve lie remote from the section interaction diagram for the same eccentricities. But the peaks of P-M curve lie rather close to the section interaction diagram for very large eccentricities. In this study , the effects of compressive strength of concrete, longitudinal steel ratio, and yield strength of steel on second-order moment of concrete columns were analyzed. As the compressive strength of concrete and the yield strength of steel are increased, the ratio of peak axial force to maximum axial strength for concentrically loaded short column( Pu/Po) is decreased. But as the longitudinal steel ratio is increased, the ratio , Pu/Po increases.

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A Second Order Smoother (이차 평활스플라인)

  • 김종태
    • The Korean Journal of Applied Statistics
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    • v.11 no.2
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    • pp.363-376
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    • 1998
  • The linear smoothing spline estimator is modified to remove boundary bias effects. The resulting estimator can be calculated efficiently using an O(n) algorithm that is developed for the computation of fitted values and associated smoothing parameter selection criteria. The asymptotic properties of the estimator are studied for the case of a uniform design. In this case the mean squared error properties of boundary corrected linear smoothing splines are seen to be asymptotically competitive with those for standard second order kernel smoothers.

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Numerical and Experimental Analyses Examining Ozone and Limonene Distributions in Test Chamber with Various Turbulent Flow Fields

  • ITO, Kazuhide
    • International Journal of Air-Conditioning and Refrigeration
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    • v.16 no.3
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    • pp.89-99
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    • 2008
  • Indoor ozone has received attention because of its well-documented adverse effects on health. In addition to the inherently harmful effects of ozone, it can also initiate a series of reactions that generate potentially irritating oxidation products, including free radicals, aldehydes, organic acids and secondary organic aerosols (SOA). Especially, ozone reacts actively with terpene. The overarching goal of this work was to better understand ozone and terpene distributions within rooms. Towards this end, the paper has two parts. The first describes the development of a cylindrical test chamber that can be used to obtain the second order rate constant $(k_b)$ for the bi-molecular chemical reaction of ozone and terpene in the air phase. The second consists of model room experiments coupled with Computational Fluid Dynamics (CFD) analysis of the experimental scenarios to obtain ozone and terpene distributions in various turbulent flow fields. The results of CFD predictions were in reasonable agreement with the experimental measurements.

Hybrid Learning Architectures for Advanced Data Mining:An Application to Binary Classification for Fraud Management (개선된 데이터마이닝을 위한 혼합 학습구조의 제시)

  • Kim, Steven H.;Shin, Sung-Woo
    • Journal of Information Technology Application
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    • v.1
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    • pp.173-211
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    • 1999
  • The task of classification permeates all walks of life, from business and economics to science and public policy. In this context, nonlinear techniques from artificial intelligence have often proven to be more effective than the methods of classical statistics. The objective of knowledge discovery and data mining is to support decision making through the effective use of information. The automated approach to knowledge discovery is especially useful when dealing with large data sets or complex relationships. For many applications, automated software may find subtle patterns which escape the notice of manual analysis, or whose complexity exceeds the cognitive capabilities of humans. This paper explores the utility of a collaborative learning approach involving integrated models in the preprocessing and postprocessing stages. For instance, a genetic algorithm effects feature-weight optimization in a preprocessing module. Moreover, an inductive tree, artificial neural network (ANN), and k-nearest neighbor (kNN) techniques serve as postprocessing modules. More specifically, the postprocessors act as second0order classifiers which determine the best first-order classifier on a case-by-case basis. In addition to the second-order models, a voting scheme is investigated as a simple, but efficient, postprocessing model. The first-order models consist of statistical and machine learning models such as logistic regression (logit), multivariate discriminant analysis (MDA), ANN, and kNN. The genetic algorithm, inductive decision tree, and voting scheme act as kernel modules for collaborative learning. These ideas are explored against the background of a practical application relating to financial fraud management which exemplifies a binary classification problem.

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