• Title/Summary/Keyword: Moore model

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Photothermoelastic interactions under Moore-Gibson-Thompson thermoelasticity

  • Kumar, Rajneesh;Sharma, Nidhi;Chopra, Supriya
    • Coupled systems mechanics
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    • v.11 no.5
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    • pp.459-483
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    • 2022
  • In the present work, a new photothermoelastic model based on Moore-Gibson-Thompson theory has been constructed. The governing equationsfor orthotropic photothermoelastic plate are simplified for two-dimension model. Laplace and Fourier transforms are employed after converting the system of equations into dimensionless form. The problem is examined due to various specified sources. Moving normal force, ramp type thermal source and carrier density periodic loading are taken to explore the application of the assumed model. Various field quantities like displacements, stresses, temperature distribution and carrier density distribution are obtained in the transformed domain. The problem is validated by numerical computation for a given material and numerical obtained results are depicted in form of graphs to show the impact of varioustheories of thermoelasticity along with impact of moving velocity, ramp type and periodic loading parameters. Some special cases are also explored. The results obtained in this paper can be used to design various semiconductor elements during the coupled thermal, plasma and elastic wave and otherfieldsin thematerialscience, physical engineering.

The Influence of Industrial Structure Upgrading on Carbon Emission Efficiency in China

  • Song, Luyan
    • The Journal of Industrial Distribution & Business
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    • v.10 no.2
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    • pp.7-15
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    • 2019
  • Purpose - The industrial structure upgrading can play an important role in promoting the carbon emission efficiency. Thus, this paper attempts to study the impact of industrial structure upgrading on carbon emission efficiency in order to reduce carbon emissions. Research design, data, and methodology - This paper selects panel data of 30 provinces and municipalities (autonomous regions) in China from 2001 to 2016, and divides them into three regions. The Moore index is used to measure the industrial structure upgrading, the non-radial SBM model based on undesired output is used to measure the slack variable to calculate the total factor carbon emission efficiency. Finally the impact of industrial structure upgrading on the carbon emission efficiency are analyzed. Results - It is found that the Moore index and the carbon emission efficiency in the eastern region is the highest in the three regions. Conclusions - The influence of various influencing factors on carbon emission efficiency is different between regions. The Moore index has a positive effect on the carbon emission efficiency in the eastern region, and has a negative influence coefficient on the central region. The effect on the western region is not obvious.

Automated Synthesis of Moore and Mealy-model Time-stationary Controllers for Pipelined Data Path of Application Specific Integrated Circuits (파이프라인 방식의 ASIC 데이타 경로를 위한 무어 및 밀리식 시간 정지형 콘트롤 러의 자동 합성)

  • Kim, Jong-Tae
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.2
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    • pp.254-263
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    • 1995
  • In this paper we discuss Moore and Mealy-model Time-stationary control schemes of pipelined data paths of Application Specific, Integrated Circuits (ASICs). We developed a method to synthesize both a Moore and a Mealy-style Finite State Machine(FSM) controller specifications given a pipelined data path with conditional branches. The control synthesis task consists of the generation of control specification and the FSM synthesis. The control specification procedure generates a FSM specification in the form of a state table. The different partitioning schemes are applied to each FSM controller so as to minimize the total area. Experimental results show the characteristics of the two different control styles and the effects of these two models on cost and performance.

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Representation of fundamental solution and vibration of waves in photothermoelastic under MGTE model

  • Rajneesh Kumar;Nidhi Sharma;Supriya Chopra;Anil K. Vashishth
    • Ocean Systems Engineering
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    • v.13 no.2
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    • pp.123-146
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    • 2023
  • In this paper, Moore-Gibson-Thompson theory of thermoelasticity is considered to investigate the fundamental solution and vibration of plane wave in an isotropic photothermoelastic solid. The governing equations are made dimensionless for further investigation. The dimensionless equations are expressed in terms of elementary functions by assuming time harmonic variation of the field variables (displacement, temperature distribution and carrier density distribution). Fundamental solutions are constructed for the system of equations for steady oscillation. Also some preliminary properties of the solution are explored. In the second part, the vibration of plane waves are examined by expressing the governing equation for two dimensional case. It is found that for the non-trivial solution of the equation yield that there exist three longitudinal waves which advance with the distinct speed, and one transverse wave which is free from thermal and carrier density response. The impact of various models (i)Moore-Gibson-Thomson thermoelastic (MGTE)(2019), (ii) Lord and Shulman's (LS)(1967) , (iii) Green and Naghdi type-II(GN-II)(1993) and (iv) Green and Naghdi type-III(GN-III)(1992) on the attributes of waves i.e., phase velocity, attenuation coefficient, specific loss and penetration depth are elaborated by plotting various figures of physical quantities. Various particular cases of interest are also deduced from the present investigations. The results obtained can be used to delineate various semiconductor elements during the coupled thermal, plasma and elastic wave and also find the application in the material and engineering sciences.

A Comparison of Finite State Machine Design Based on Mealy and Moore Model (밀리, 무어 모델을 기반으로한 유한 상태머신 설계의 특성 비교)

  • Kim, Seung-Wan;Youn, Hee-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.271-272
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    • 2014
  • 현재 디지털 시스템 설계가 필요한 모든 유한 상태머신을 설계에는 필수적 밀리 모델이나 무어 모델이 들어간다. 그러나 각각의 기기와 기능에 따라서 밀리 모델과 무어 모델 중 어느 모델이 디지털 논리회로 설계에 효율적인지 판단이 모호한 상황이다. 이를 위해 본 논문에서는 유한 상태머신의 하나인 벤딩머신을 대상으로 밀리 모델과 무어 모델을 사용하여 설계한 후, 설계의 복잡도와 구현 게이트 수를 구하여 각 모델의 효율성에 대해 비교 분석하고자 한다.

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Demand Forecasting with Discrete Choice Model Based on Technological Forecasting

  • 김원준;이정동;김태유
    • Proceedings of the Technology Innovation Conference
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    • 2003.02a
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    • pp.173-190
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    • 2003
  • Demand forecasting is essential in establishing national and corporate strategy as well as the management of their resource. We forecast demand for multi-generation product using discrete choice model combining diffusion model The discrete choice model generally captures consumers'valuation of the product's qualify in the framework of a cross-sectional analysis. We incorporate diffusion effects into a discrete choice model in order to capture the dynamics of demand for multi-generation products. As an empirical application, we forecast demand for worldwide DRAM (dynamic random access memory) and each of its generations from 1999 to 2005. In so doing, we use the method of 'Technological Forecasting'for DRAM Density and Price of the generations based on the Moore's law and learning by doing, respectively. Since we perform our analysis at the market level, we adopt the inversion routine in using the discrete choice model and find that our model performs well in explaining the current market situation, and also in forecasting new product diffusion in multi-generation product markets.

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Whole learning algorithm of the neural network for modeling nonlinear and dynamic behavior of RC members

  • Satoh, Kayo;Yoshikawa, Nobuhiro;Nakano, Yoshiaki;Yang, Won-Jik
    • Structural Engineering and Mechanics
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    • v.12 no.5
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    • pp.527-540
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    • 2001
  • A new sort of learning algorithm named whole learning algorithm is proposed to simulate the nonlinear and dynamic behavior of RC members for the estimation of structural integrity. A mathematical technique to solve the multi-objective optimization problem is applied for the learning of the feedforward neural network, which is formulated so as to minimize the Euclidean norm of the error vector defined as the difference between the outputs and the target values for all the learning data sets. The change of the outputs is approximated in the first-order with respect to the amount of weight modification of the network. The governing equation for weight modification to make the error vector null is constituted with the consideration of the approximated outputs for all the learning data sets. The solution is neatly determined by means of the Moore-Penrose generalized inverse after summarization of the governing equation into the linear simultaneous equations with a rectangular matrix of coefficients. The learning efficiency of the proposed algorithm from the viewpoint of computational cost is verified in three types of problems to learn the truth table for exclusive or, the stress-strain relationship described by the Ramberg-Osgood model and the nonlinear and dynamic behavior of RC members observed under an earthquake.

Adopting Local Languages as Official Languages: Effect on Women and Rural Individuals' Labor Force in Burkina Faso

  • YAMEOGO, SOULEYMANE
    • KDI Journal of Economic Policy
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    • v.42 no.2
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    • pp.31-56
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    • 2020
  • This study investigates the impact of the use of the main local languages in Burkina Faso (Moore, Dioula, Fulfulde) on labor force participation. Using Ethnologue language data, I compute the relative language distance reduction index, after which I use a probit/logit model and instrumental variable approach to account for language use policy endogeneity. This study finds that the use of the Moore language increases the likelihood of labor force participation by 36 percent, with a strong impact on women at 59 percent, nine times higher than men, and 38.3 percent for rural individuals, five times higher than individuals living in urban areas. The Dioula language exhibits comparable trends, while Fulfulde has a negative impact on individuals. The study recommends the use of local language(s) as official language(s) to improve labor force participation. However, a bilingual approach combining local and international language(s) will be of use to account for globalization and international competitiveness. The findings here may be of use to researchers and policymakers as part of their effort to increase the labor force participation rates of women and rural individuals. Moreover, this research has significant implications with regard to the implementation of language use policies in a variety of postcolonial language contexts.

CURRENT STATUS OF SUPERCOMPUTING TRENDS (국내외 슈퍼컴퓨팅 동향)

  • Cho, K.W.
    • 한국전산유체공학회:학술대회논문집
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    • 2006.10a
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    • pp.210-210
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    • 2006
  • IT technologies(Chips, Grid and e-Science) are rapidly changed from 1965. In 1965, Intel co-founder Gordon Mooresaq the future. His prediction popularly known as Moore's law, state that the computer chips double in power every 18 months Grid computing offers a model for solving massive computational problems by making use of the unused resources of large numbers of disparate, often desktop, computers treated as a virtual cluster embedded in a distributed telecommunications infrastructure. In this paper, I will discuss current status of supercomputing technology and haw we can use these on CFD. Functionally, one can classify Grids into several types:

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A Theoretical Approach for Establishing the Analytical Model of Urban Housing Classes (주거계층 분석모형 설정을 위한 이론적 접근)

  • 박정희
    • Journal of the Korean housing association
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    • v.1 no.1
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    • pp.1-8
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    • 1990
  • There has been a discussion about housing classes in sociology and cultural geography since Rex and Moore`s study that housing classes are existing according to home ownership. Besides social classes. housing classes as a variable which explains life styles are existing. The study of housing classes needs microsociological approach which includes multiple aspects of resident`s social class, family type, home ownership, residential area.

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