• 자원ㆍ환경경제연구
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• 제25권2호
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• pp.299-320
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• 2016

본 연구는 자료포락분석의 target-setting approach를 기초로 우리나라 16개 지자체의 에너지 효율성을 추정하고, 에너지 효율향상을 통해 저감할 수 있는 에너지 소비수준을 계측한다. 나아가 에너지 믹스변화에 의한 지역별 환경성과를 분석하고 그에 따른 이산화탄소 감축효과를 평가한다. 분석결과, 표본기간 2004년~2013년 동안 평균적으로 14.0%의 에너지 비효율이 존재하며, 특히 석유연료의 비효율적 사용이 주요 광역시를 중심으로 크게 나타났다. 또한 에너지 소비구조의 변화를 통해 에너지 효율향상과 추가적인 이산화탄소 저감가능성이 발생하며, 적극적인 에너지 믹스전략의 필요성을 확인할 수 있었다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.403-413
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• 1996

Two-phase self-organizing neuro-modeling (SONM). the global SONM and local SONM, is designed for tracking non-stationary manufacturing processes. Radial basis function (RBF) neural network is employed, and self-tuning estimator is also developed for the determination of RBF network parameters on-line. A pattern recognition approach is presented for identifying a correct RBF neural network, which is used for identifying current manufacturing processes. Experimental results showed that the proposed approach is suitable for tracking non-stationary processes.

• Computers and Concrete
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• 제16권6호
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• pp.919-932
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• 2015

This paper presents a new method for assessing the three-point-bending (3PB) strength of mortar beams in a non-destructive manner, based on neural network (NN) models. The models are based on the radial basis function (RBF) architecture and the fuzzy means algorithm is employed for training, in order to boost the prediction accuracy. Data for training the models were collected based on a series of experiments, where the cement mortar beams were subjected to various bending mechanical loads and the resulting pressure stimulated currents (PSCs) were recorded. The input variables to the NN models were then calculated by describing the PSC relaxation process through a generalization of Boltzmannn-Gibbs statistical physics, known as non-extensive statistical physics (NESP). The NN predictions were evaluated using k-fold cross-validation and new data that were kept independent from training; it can be seen that the proposed method can successfully form the basis of a non-destructive tool for assessing the bending strength. A comparison with a different NN architecture confirms the superiority of the proposed approach.

• 자원ㆍ환경경제연구
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• 제20권1호
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• pp.33-60
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• 2011

본 연구의 목적은 생산 프론티어 접근을 통하여 OECD 국가의 에너지효율과 경제성장이 에너지수요에 미치는 영향을 비교하는 것이다. 본 연구는 OECD 국가를 대상으로 전통적 에너지 원단위와 생산 프론티어 접근에 의한 에너지효율, 생산 프론티어 상의 효율점에서 에너지 과다 여유분의 존재, 생산의 기술구조 하에서 GDP 증가에 따른 에너지수요 탄력성을 살펴보았다. 첫째, 전통적 에너지 원단위는 방사선 에너지효율과는 상관성이 낮고 여유분 에너지효율, 비방사선 에너지효율과 에너지 최소화 방향의 수평선 에너지효율 등과는 일정한 상관성을 보인다. 에너지 원단위만으로 에너지효율 여부를 판단하는 것은 오류가 있을 수 있다. 특히 방사선 효율에 의한 에너지효율은 대부분의 국가의 에너지효율을 과대평가하는 경향이 있다. 둘째, OECD 국가들이 프론티어 상의 효율적인 생산점에서도 불필요하게 에너지를 소비하는 것이 연평균 17.3%이므로 에너지의 추가 저감이 필요하다. 셋째, OECD 국가의 경제성장에 대한 에너지 탄력성의 평균은 1.1로서 거의 단위 탄력성에 가깝다. 탄력성의 국가별 차이는 존재하고 탄력성이 높은 국가의 에너지수요는 높다.

• 대한교통학회지
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• 제31권2호
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• pp.11-19
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• 2013

본 연구에서는 방사적 측정방식과 비방사적 측정방식을 사용하여 국내공항의 상대적 효율성을 분석하였다. 이를 바탕으로 효율성 개선을 위해 비효율을 유발시키는 잔여부문을 분석하였으며, 효율적인 준거대상과의 비교를 통해 개선 방안을 제시하였다. 15개의 국내공항 중 14개의 공항을 분석대상으로 2004년에서 2011년까지의 8개년의 자료를 바탕으로 분석하였으며, 투입요소로는 활주로 길이, 종업원 수, 터미널 규모를 사용하였고, 산출요소로는 여객 수, 화물량, 비행편 수를 사용하였다. 분석결과 국내공항의 효율성은 대부분이 하락하는 추세였으며, 효율적인 공항과 비효율적인 공항의 격차가 매년 증가하고 있는 것으로 나타났다. 또한 대부분의 국내공항들이 수요대비 거대한 규모로 운영되는 점이 비효율성을 증가 시키는 주요원인이었다.

• 대한한의학회지
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• 제30권3호
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• pp.98-105
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• 2009

Objective: Increased aortic and carotid arterial augmentation index (AI) is associated with the risk of cardiovascular disease. The most widely used approach for determining central arterial AI is by calculating the aortic pressure waveform from radial arterial waveforms using a transfer function. But how the change of waveform by applied pressure and the pattern of the change rely on subject's characteristics has not been recognized. In this study, we use a new method for measuring radial waveform and observe the change of waveform and the deviation of radial AI in the same position by applied pressure. Method: Forty-six non-patient volunteers (31 men and 15 women, age range 21-58 years) were enrolled for this study. Informed consent in a form approved by the institutional review board was obtained in all subjects. Blood pressure was measured on the left upper arm using an oscillometric method, radial pressure waves were recorded with the use of an improved automated tonometry device. DMP-3000(DAEYOMEDI Co., Ltd. Ansan, Korea) has robotics mechanism to scan and trace automatically. For each subject, we performed the procedure 5 times for each applied pressure level. We could thus obtain 5 different radial pulse waveforms for the same person's same position at different applied pressures. All these processes were repeated twice for test reproducibility. Result: Aortic AI, peripheral AI and radial AI were higher in women than in men (P<0.01), radial AI strongly correlated with aortic AI, and radial AI was consistently approximately 39% higher than aortic AI. Relationship between representative radial AI of DMP-3000 and peripheral AI of SphygmoCor had strongly correlation. And there were three patterns in change of pulse waveform. Conclusion: In this study, it is revealed the new device was sufficient to measure how radial AI and radial waveform from the same person at the same time change under applied pressure and it had inverse-proportion to applied pressure.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.259-264
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• 2007

In this paper, to analyze the initial valued non-homogeneous elastic half space by the scaled boundary analysis, the infinite element approach was introduced. The free surface of the initial valued non-homogeneous elastic half space was mode1ed as a circumferential direction of boundary scaled boundary coordinate. The infinite element was used to represent the infinite length of the free surface. The initial value of material property(elastic modulus) was considered by the combination of the position of the sealing center and the power function of the radial direction. By use of the mapping type infinite element, the consistent e1ements formulation could be available. The performance and the feasibility of proposed approach are examined by two numerical examples.

• Steel and Composite Structures
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• 제47권5호
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• pp.569-585
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• 2023

This paper proposes an efficient approach for the structural topology optimization of bi-directional functionally graded structures by incorporating popular radial basis functions (RBFs) into an implicit level set (ILS) method. Compared to traditional element density-based methods, a level set (LS) description of material boundaries produces a smoother boundary description of the design. The paper develops RBF implicit modeling with multiquadric (MQ) splines, thin-plate spline (TPS), exponential spline (ES), and Gaussians (GS) to define the ILS function with high accuracy and smoothness. The optimization problem is formulated by considering RBF-based nodal densities as design variables and minimizing the compliance objective function. A LS-RBF optimization method is proposed to transform a Hamilton-Jacobi partial differential equation (PDE) into a system of coupled non-linear ordinary differential equations (ODEs) over the entire design domain using a collocation formulation of the method of lines design variables. The paper presents detailed mathematical expressions for BiDFG beams topology optimization with two different material models: continuum functionally graded (CFG) and mechanical functionally graded (MFG). Several numerical examples are presented to verify the method's efficiency, reliability, and success in accuracy, convergence speed, and insensitivity to initial designs in the topology optimization of two-dimensional (2D) structures. Overall, the paper presents a novel and efficient approach to topology optimization that can handle bi-directional functionally graded structures with complex geometries.

• International Journal of Fluid Machinery and Systems
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• 제10권2호
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• pp.138-145
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• 2017

The problem of non-uniform inflow exists in many practical engineering applications, such as the elbow suction pipe of waterjet pump and, the channel head of steam generator which is directly connect with reactor coolant pump. Generally, pumps are identical designs and are selected based on performance under uniform inflow with the straight pipe, but actually non-uniform suction flow is induced by upstream equipment. In this paper, CFD approach was employed to analyze unsteady hydrodynamic characteristics of reactor coolant pumps with different inflows. The Reynolds-averaged Naiver-Stokes equations with the $k-{\varepsilon}$ turbulence model were solved by the computational fluid dynamics software CFX to conduct the steady and unsteady numerical simulation. The numerical results of the straight pipe and channel head were validated with experimental data for the heads at different flow coefficients. In the nominal flow rate, the head of the pump with the channel head decreases by 1.19% when compared to the straight pipe. The complicated structure of channel head induces the inlet flow non-uniform. The non-uniformity of the inflow induces the difference of vorticity distribution at the outlet of the pump. The variation law of blade to blade velocity at different flow rate and the difference of blade to blade velocity with different inflow are researched. The effects of non-uniform inflow on radial forces are absolutely different from the uniform inflow. For the radial forces at the frequency $f_R$, the corresponding amplitude of channel head are higher than the straight pipe at $1.0{\Phi}_d$ and $1.2{\Phi}_d$ flow rates, and the corresponding amplitude of channel head are lower than the straight pipe at $0.8{\Phi}_d$ flow rates.

• Journal of the Korean Data and Information Science Society
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• 제26권3호
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• pp.749-754
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• 2015

This article presents Bayesian approach to regression splines with knots on a grid of equally spaced sample quantiles of the independent variables under functional measurement error model.We consider small area model by using penalized splines of non-linear pattern. Specifically, in a basis functions of the regression spline, we use radial basis functions. To fit the model and estimate parameters we suggest a hierarchical Bayesian framework using Markov Chain Monte Carlo methodology. Furthermore, we illustrate the method in an application data. We check the convergence by a potential scale reduction factor and we use the posterior predictive p-value and the mean logarithmic conditional predictive ordinate to compar models.