• Title/Summary/Keyword: hybrid evaluation

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Characteristics of Low Velocity Impact Responses due to Interface Number and Stacking Sequences of CFRP Composite Plates (CFRP 복합적층판의 적층배향.계면수에 따른 저속충격특성)

  • Im, Kwang-Hee;Park, No-Sick;Ra, Seung-Woo;Kim, Young-Nam;Lee, Hyun;Sim, Jae-Ki;Yang, In-Young
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.10 no.6
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    • pp.48-56
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    • 2001
  • In this paper, this study aims at the evaluation on the characteristics of CFRP laminate plates using a falling weight impact tester. The experiment was conducted on several laminates of different orientation. A system was built far measur- ing the impact strength of CFRP laminates in consideration of stress wave propagation theory using a falling weight impact tester. Delamination areas of impacted specimens for the different ply orientation were measured with ultrasonic C- scanner to find correlation between impact energy and delamination area. Absorbed energy of quasi-isotropic specimen having flour interfaces was higher than that of orthotropic laminates with two interfaces. The more interfaces, the greater the energy absorbed. The absorbed energy oft hybrid specimen containing a GFRP layer was higher than that of normal specimens.

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A Study on the Energy Performance Evaluation of Zero Energy House in Zero Energy Town (제로에너지타운 내 주택 에너지 성능 평가에 관한 연구)

  • Lee, Wang-Je;Baek, Nam-Choon;Lee, Kyoung-Ho;Heo, Jae-Hyeok
    • Journal of the Korean Solar Energy Society
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    • v.35 no.2
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    • pp.85-91
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    • 2015
  • In this study, energy performance analysis of houses in zero energy demonstration town(ZeT) was carried out using the monitoring results. This ZeT was composed 29 zero energy individual houses(ZeH) which were applied passive as well as active technologies. The results are as follows. (1) Residents are generally considered to have been lacking basic mind to save energy, (2) In particular, average yearly total energy consumption per house is 12,834 kWh and specific heating energy is $53.2kWh/m^2{\cdot}yr$ which is higher than that of passive house. This is because of one of the reason just pointed out in subsection (1). (3) Most part of the residual energy load are supplied with only renewable energy, but not operating energy for geothermal heat pump which is use of cheap electricity.

Durability Evaluation of a Composite Carbody for Korean Tilting Train under Repeated Loadings (반복하중을 받는 틸팅열차용 복합재 차체구조의 내구성 평가)

  • Jeong, Jong-Cheol;Seo, Sung-Il;Kim, Jung-Seok
    • Journal of the Korean Society for Railway
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    • v.10 no.1 s.38
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    • pp.39-44
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    • 2007
  • This rafer explains a durability test of a large train car body made of carbon/epoxy composite material. The composite car body with the length of 23m was manufactured as a sandwich structure composed of an aluminum honeycomb core and CF1263 woven fabric carbon/epoxy faces. In order to evaluate durability of the composite car body, it was excited by two 500kN capacity hydraulic actuators installed underneath the body bolster. The natural frequency of the composite car body under full weight condition was found to be 4.33Hz. Based on this result, the excitation frequency and displacement of 5Hz and ${\pm}1.0mm$, respectively, were used as inputs for the durability test. The test was conducted for $2{\times}10^6$ cycles. During the test, the nondestructive tests using X-ray radiography and dye penetration method was performed to determine the presence of the cracks. Upon completion of the test, no cracks were found.

A Hybrid Correction Technique of Missing Load Data Based on Time Series Analysis

  • Lee, Chan-Joo;Park, Jong-Bae;Lee, Jae-Yong;Shin, Joong-Rin;Lee, Chang-Ho
    • KIEE International Transactions on Power Engineering
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    • v.4A no.4
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    • pp.254-261
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    • 2004
  • Traditionally, electrical power systems had formed the vertically integrated industry structures based on the economics of scale. However, power systems have been recently reformed to increase their energy efficiency. According to these trends, the Korean power industry underwent partial reorganization and competition in the generation market was initiated in 2001. In competitive electric markets, accurate load data is one of the most important issues to maintaining flexibility in the electric markets as well as reliability in the power systems. In practice, the measuring load data can be uncertain because of mechanical trouble, communication jamming, and other issues. To obtain reliable load data, an efficient evaluation technique to adjust the missing load data is required. This paper analyzes the load pattern of historical real data and then the tuned ARIMA (Autoregressive Integrated Moving Average), PCHIP (Piecewise Cubic Interpolation) and Branch & Bound method are applied to seek the missing parameters. The proposed method is tested under a variety of conditions and also tested against historical measured data from the Korea Energy Management Corporation (KEMCO).

Knowledge-Based Approach for an Object-Oriented Spatial Database System (지식기반 객체지향 공간 데이터베이스 시스템)

  • Kim, Yang-Hee
    • Journal of Intelligence and Information Systems
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    • v.9 no.3
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    • pp.99-115
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    • 2003
  • In this paper, we present a knowledge-based object-oriented spatial database system called KOBOS. A knowledge-based approach is introduced to the object-oriented spatial database system for data modeling and approximate query answering. For handling the structure of spatial objects and the approximate spatial operators, we propose three levels of object-oriented data model: (1) a spatial shape model; (2) a spatial object model; (3) an internal description model. We use spatial type abstraction hierarchies(STAHs) to provide the range of the approximate spatial operators. We then propose SOQL, a spatial object-oriented query language. SOQL provides an integrated mechanism for the graphical display of spatial objects and the retrieval of spatial and aspatial objects. To support an efficient hybrid query evaluation, we use the top-down spatial query processing method.

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Hybrid between Inorganic Material and Biological Photosystem1 for Light Energy Application

  • Kim, Yeong-Hye;Nam, Gi-Tae
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.08a
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    • pp.272-272
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    • 2013
  • The attractive features of photosynthetic reaction center proteins for energy application make them useful in solar energy conversion to hydrogen fuel or electrical energy. Almost unity charge separation quantum yield and its rapid speed of ~1ns, absorbance region in visible light (480~740 nm) and high proportion of photosynthetically active solar energy of 48.5% allowed photosystem1 to exploited as a bio-material for photo-energy devices. Directionality of photosystem1 in electron transfer can solve main problem in two-step water splitting process where back reaction deteriorates the overall efficiency. In the study, photosystem1 was extracted from spinach and the photo-induced excited electron in the reaction center was utilized in various field of light energy application. First, hydrogen evolving system realized by photodeposition of platinum at the end of the electron transfer chain, with combining specific semiconductor to oxidize water in the first step of Z-scheme. The evaluation by gas-chromatography demonstrated hydrogen evolution through the system. For the further application of photoelectrical material on electrode, photosystem1 have been controlled by copper ion, which is expected to assemble photosystem in specific orientation followed by maximized photoelectrical ability of film. The research proposed concrete methods for combining natural protein and artificial materials in one system and suggested possibility of designing interface between biological and inorganic materials.

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Sparse Web Data Analysis Using MCMC Missing Value Imputation and PCA Plot-based SOM (MCMC 결측치 대체와 주성분 산점도 기반의 SOM을 이용한 희소한 웹 데이터 분석)

  • Jun, Sung-Hae;Oh, Kyung-Whan
    • The KIPS Transactions:PartD
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    • v.10D no.2
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    • pp.277-282
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    • 2003
  • The knowledge discovery from web has been studied in many researches. There are some difficulties using web log for training data on efficient information predictive models. In this paper, we studied on the method to eliminate sparseness from web log data and to perform web user clustering. Using missing value imputation by Bayesian inference of MCMC, the sparseness of web data is removed. And web user clustering is performed using self organizing maps based on 3-D plot by principal component. Finally, using KDD Cup data, our experimental results were shown the problem solving process and the performance evaluation.

Parametric identification of the Bouc-Wen model by a modified genetic algorithm: Application to evaluation of metallic dampers

  • Shu, Ganping;Li, Zongjing
    • Earthquakes and Structures
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    • v.13 no.4
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    • pp.397-407
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    • 2017
  • With the growing demand for metallic dampers in engineering practice, it is urgent to establish a reasonable approach to evaluating the mechanical performance of metallic dampers under seismic excitations. This paper introduces an effective method for parameter identification of the modified Bouc-Wen model and its application to evaluating the fatigue performance of metallic dampers (MDs). The modified Bouc-Wen model which eliminates the redundant parameter is used to describe the hysteresis behavior of MDs. Relations between the parameters of the modified Bouc-Wen model and the mechanical performance parameters of MDs are studied first. A modified Genetic Algorithm using real-integer hybrid coding with relative fitness as well as adaptive crossover and mutation rates (called RFAGA) is then proposed to identify the parameters of the modified Bouc-Wen model. A reliable approach to evaluating the fatigue performance of the MDs with respect to the Chinese Code for Seismic Design of Buildings (GB 50011-2010) is finally proposed based on the research results. Experimental data are employed to demonstrate the process and verify the effectiveness of the proposed approach. It is shown that the RFAGA is able to converge quickly in the identification process, and the simulation curves based on the identification results fit well with the experimental hysteresis curves. Furthermore, the proposed approach is shown to be a useful tool for evaluating the fatigue performance of MDs with respect to the Chinese Code for Seismic Design of Buildings (GB 50011-2010).

PREDICTION OF RESIDUAL STRESS FOR DISSIMILAR METALS WELDING AT NUCLEAR POWER PLANTS USING FUZZY NEURAL NETWORK MODELS

  • Na, Man-Gyun;Kim, Jin-Weon;Lim, Dong-Hyuk
    • Nuclear Engineering and Technology
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    • v.39 no.4
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    • pp.337-348
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    • 2007
  • A fuzzy neural network model is presented to predict residual stress for dissimilar metal welding under various welding conditions. The fuzzy neural network model, which consists of a fuzzy inference system and a neuronal training system, is optimized by a hybrid learning method that combines a genetic algorithm to optimize the membership function parameters and a least squares method to solve the consequent parameters. The data of finite element analysis are divided into four data groups, which are split according to two end-section constraints and two prediction paths. Four fuzzy neural network models were therefore applied to the numerical data obtained from the finite element analysis for the two end-section constraints and the two prediction paths. The fuzzy neural network models were trained with the aid of a data set prepared for training (training data), optimized by means of an optimization data set and verified by means of a test data set that was different (independent) from the training data and the optimization data. The accuracy of fuzzy neural network models is known to be sufficiently accurate for use in an integrity evaluation by predicting the residual stress of dissimilar metal welding zones.

Identification of Potential Crossbreeds of Mulberry Silkworm, Bombyx mori L. and Their Performance Under Tropical Stress

  • Seshagiri, SureVenkata;Naik, S. Sankar;Goel, Ajay Kumar;Raju, P.J.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.22 no.2
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    • pp.45-49
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    • 2011
  • The performance of five newly evolved cross breeds were evaluated across seasons to understand the genotype and environment interactions and their stability under fluctuating tropical environmental conditions along with control hybrids $PM{\times}CSR2$ and $APM1{\times}APS8$. The data was collected on eight economic traits namely fecundity, yield per 10,000 larvae by number, yield per 10,000 larvae by weight, survival rate, cocoon weight, cocoon shell weight, cocoon shell ratio and filament length. The data was subjected for Analysis of Variance (ANOVA) and relevant statistical methods. The performance data obtained was further subjected for multiple trait evaluation index method. The ranks were adjudicated based on the index values. The two hybrids viz., $MSO3{\times}APS45$ and $MSO1{\times}APS12$ performed well under diversified environmental conditions indicating their overall stability and superiority. These hybrids revealed highly significant (p < 0.01) improvement for the majority of the traits over the control hybrids.