• Title/Summary/Keyword: Generation rate

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Hot Corrosion Properties of Heat Resistant Chrome Steels (내열강의 고온부식특성에 대한 크롬함량의 영향)

  • Lee, Han-sang;Jung, Jine-sung;Yoo, Keun-bong;Kim, Eui-hyun
    • Korean Journal of Metals and Materials
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    • v.48 no.4
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    • pp.277-288
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    • 2010
  • The hot corrosion properties of heat-resistant steels were investigated in an oxidation atmosphere including artificial ash and sulfur dioxide. The heat-resistant steels of T22, T92, T122, T347HFG, Super304H and HR3C were evaluated at 620, 670 and $720^{\circ}C$ for 400 hours. The relationship between the corrosion rate and the temperature followed a bell-shaped curve with a peak rate at around $670^{\circ}C$. The corrosion rates showed a decreasing tendency as the chrome contents of these steels increased from 2.15 wt.% to 24.5 wt.%, and austenitic steels had a lower corrosion rate than ferritic steels. Sulfidation by $SO_2$ as well as molten salt corrosion also had an effect on the total corrosion rate, especially showing an increase in the corrosion rate in ferritic steels. Regardless of the chrome content in the steels and irrespective of the test temperature, the corrosion scale was composed of an outer oxide and an artificial ash mixed layer, a middle oxide layer and inner sulfide, and a mixed oxide layer. As the chrome content increased, the proportion of chrome oxide in the corrosion scale increased. Before spalling of the corrosion scale, voids and cracks were initiated in the sulfide and the mixed oxide layer or at the interface with the substrate.

A Study on the Generation of Solid Waste and Collection System in Kangwon National University (강원대학교 쓰레기 배출 및 수집 시스템에 관한 조사연구)

  • Lee, Chan-Ki;Lee, Hae-Seung;Ryu, Don-Sik;Nam, Kwang-Myoung
    • Journal of Industrial Technology
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    • v.17
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    • pp.161-168
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    • 1997
  • This investigation was carried out to study generation of solid waste and collection system in the College of Engineering and College of Social Science, library, dormitory and student center of Kangwon National University. It is to supply basic data for solid waste management. Each result of investigation considers effect getting generation property, unit waste generation rate and reusing.

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An implementation of the dynamic rate leaky bucket algorithm combined with a neural network based prediction (신경회로망 예측기법을 결합한 Dynamic Rate Leaky Bucket 알고리즘의 구현)

  • 이두헌;신요안;김영한
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.2
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    • pp.259-267
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    • 1997
  • The advent of B-ISDN using ATM(asynchronous transfer mode) made possible a variety of new multimedia services, however it also created a problem of congestion control due to bursty nature of various traffic sources. To tackle this problem, UPC/NPC(user parameter control/network parameter control) have been actively studied and DRLB(dynamic rate leaky bucket) algorithm, in which the token generation rate is changed according to states of data source andbuffer occupancy, is a good example of the UPC/NPC. However, the DRLB algorithm has drawbacks of low efficiency and difficult real-time implementation for bursty traffic sources because the determination of token generation rate in the algorithm is based on the present state of network. In this paper, we propose a more plastic and effective congestion control algorithm by combining the DRLB algorithm and neural network based prediction to remedy the drawbacks of the DRLB algorithm, and verify the efficacy of the proposed method by computer simulations.

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Developments of Greenhouse Gas Generation Models and Estimation Method of Their Parameters for Solid Waste Landfills (폐기물매립지에서의 온실가스 발생량 예측 모델 및 변수 산정방법 개발)

  • Park, Jin-Kyu;Kang, Jeong-Hee;Ban, Jong-Ki;Lee, Nam-Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.6B
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    • pp.399-406
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    • 2012
  • The objective of this research is to develop greenhouse gas generation models and estimation method of their parameters for solid waste landfills. Two models obtained by differentiating the Modified Gompertz and Logistic models were employed to evaluate two parameters of a first-order decay model, methane generation potential ($L_0$) and methane generation rate constant (k). The parameters were determined by the statistical comparison of predicted gas generation rate data using the two models and actual landfill gas collection data. The values of r-square obtained from regression analysis between two data showed that one model by differentiating the Modified Gompetz was 0.92 and the other model by differentiating the Logistic was 0.94. From this result, the estimation methods showed that $L_0$ and k values can be determined by regression analysis if landfill gas collection data are available. Also, new models based on two models obtained by differentiating the Modified Gompertz and Logistic models were developed to predict greenhouse gas generation from solid waste landfills that actual landfill generation data could not be available. They showed better prediction than LandGEM model. Frequency distribution of the ratio of Qcs (LFG collection system) to Q (prediction value) was used to evaluate the accuracy of the models. The new models showed higher accuracy than LandGEM model. Thus, it is concluded that the models developed in this research are suitable for the prediction of greenhouse gas generation from solid waste landfills.

A knowledge-based pronunciation generation system for French (지식 기반 프랑스어 발음열 생성 시스템)

  • Kim, Sunhee
    • Phonetics and Speech Sciences
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    • v.10 no.1
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    • pp.49-55
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    • 2018
  • This paper aims to describe a knowledge-based pronunciation generation system for French. It has been reported that a rule-based pronunciation generation system outperforms most of the data-driven ones for French; however, only a few related studies are available due to existing language barriers. We provide basic information about the French language from the point of view of the relationship between orthography and pronunciation, and then describe our knowledge-based pronunciation generation system, which consists of morphological analysis, Part-of-Speech (POS) tagging, grapheme-to-phoneme generation, and phone-to-phone generation. The evaluation results show that the word error rate of POS tagging, based on a sample of 1,000 sentences, is 10.70% and that of phoneme generation, using 130,883 entries, is 2.70%. This study is expected to contribute to the development and evaluation of speech synthesis or speech recognition systems for French.

Development of a Air-jet Water Sprayer for Dust Generation Control in the Production Sites of Gloves Making Plants (장갑공장의 분진발생 억제를 위한 에어젯 노즐의 개발)

  • Kim, Jin-Hyun;Choi, Hyun-kuk;Kim, Ki-Dong
    • Journal of the Korean Society of Industry Convergence
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    • v.12 no.2
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    • pp.69-78
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    • 2009
  • Dust in the fabric production sites is increased by the static electricity in air which is generated in the manufacturing process. The static electricity is shown in inverse proportion to humidity of the production sites. The optimum humidity rate for the filament in the production process has been established as 65~75%. Where as, average humidity rate of production site is estimated as 40%. Therefore, it is necessary to raise the humidity rate by 30% to maintain appropriate humidity to control generation of static electricity and dust in the production sites. In this study, a new air-jet water sprayer was developed and it can produce $10{\mu}m$ sprayed particles. When the air-jet water sprayer was operated on the production site dust generation rate was shown far below the environmental standard. It is assumed that when the air jet sprayers was applied to 1,000 fabric machines of 5 gloves making plants, its productivity and rates of operation will be improved by value of about 2.5 billion Won a year.

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A Study on the Disk Type MHD Generator Using a Shock Tube (충격파관을 이용한 DISK형 MHD발전기에 관한 연구)

  • 배철오;신명철;김윤식;길경석
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.3 no.2
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    • pp.447-453
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    • 1999
  • In MHD power generation system, enthalpy of the working gas is convened to electric power directly through expansion in generator channel. It means that electric power can be generated without a moving mechanical linkage such as turbine blades. The principle of MHD generation is based on Faraday'law of induction that eletromotive force(u$\times$B) is generated when the working gas of velocity u flows a channel in which magnetic field of strength(B) exists. In this paper, helium gas seeded with cesium is used as working gas. There are two types of generator in MHD generation; linear type faraday and disk type hall generator. Rogowski coils having the bandwidth of the 100(Hz) ~ 20(kHz) were used for measuring current flowing MHD disk channel. Optimum load resistor value of the MHD generator studied was 2.5[$\Omega$]. Disk type hall generator's generation performance is the main target of this paper, which superiors to linear type Faraday generator in many points. Isentropic efficiency and enthalpy extraction rate of disk type shock tube driven hall generator is discussed here.

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A Study of Optimal Fuel-Mix Considering Power Generation Operation (발전기 출력특성을 고려한 최적전원구성 연구)

  • Jung, Young-Beom;Kim, Kil-Sin;Park, Chang-Ho;Yoon, Yong-Beom
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.10
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    • pp.28-37
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    • 2011
  • Though Korea has introduced CBP(Cost Based pool) power trading system since 2001, long-term Generation system planning has been executed by government for Cost minimization every 2 years. Until currently the model which is used for Generation system planning and best-mix only considers cost minimization and total yearly or quarterly electricity demand every year. In a view point of one day power supply operation, technical characteristics, like the ramp up/down rate of total generation system, minimum up/down time and GFRQ(Governor Free Response Quantity), are very important. this paper analyzes Optimal Fuel-Mix for 2022 Korea generation system satisfying these constraints of each fuel type and considering pump storage plants, construction cost and $CO_2$ emission charge Using MILP(Mixed Integer Linear Programming) method. Also the sensitivity analysis which follows in future power industry environmental change accomplished.

Case Study : Assessment of Small Hydropower Potential Using Runoff Measurements (관측 유량 자료를 이용한 소수력 잠재량 평가에 대한 사례연구)

  • Jung, Sung-Eun;Kim, Jin-Young;Kang, Yong-Heack;Kim, Hung-Su
    • Journal of the Korean Solar Energy Society
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    • v.38 no.4
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    • pp.43-54
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    • 2018
  • In this study, we assessed dependency of small hydropower potentials on the two different runoff such as the estimated runoff based on the rainfall amounts and measured runoff. The hydpropower potentials were evaluated using actural power generations taken from Deoksong, Hanseok, and Socheon small hydropower plants over Han and Nakdong river basins, respectively. As a result of comparing the actual power generation amount with the potential amount based on the rainfall amount and the estimated amount based on the observed flow amount by each small hydroelectric power plant, the degree of latent small hydro energy by the observed flow was confirmed to be high. It is confirmed that the potential hydroelectric power generation rate is estimated to be about average 30%Point higher than the actual generation amount as a result of the measured flow rate rather than using the rainfall amount. Based on this, a method for improving the degree of the actual generation amount is proposed.

Hydrogen Generation through the Reaction with Water of MgO, MgCl2 or Ni+Nb2O5 - Added Magnesium Hydrides

  • Hong, Seong-Hyeon;Kim, Hyun-Jin;Song, Myoung Youp
    • Korean Journal of Metals and Materials
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    • v.50 no.2
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    • pp.183-190
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    • 2012
  • Hydrogen was generated by the reaction of metal hydride with water. The variation of hydrogen generation with the kind of powders (milled $MgH_2$, and $MgH_2$ milled with various contents of MgO, $MgCl_2$ or $Ni+Nb_2O_5$) was investigated. $MgH_2$ powder with a hydrogen content of 6.05 wt% from Aldrich Company was used. Hydrogen is generated by the reaction of Mg as well as $MgH_2$ with water, resulting in the formation of byproduct $Mg(OH)_2$. For about 5 min of reaction time, milled $95%MgH_2+5%MgO$ has the highest hydrogen generation rate among milled $MgH_2+x%MgO$ (x=0, 5, 10, 15 and 20) samples. Milled $90%MgH_2+10%MgCl_2$ has the highest hydrogen generation rate among all the samples.