• Title/Summary/Keyword: Generation mean.

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Development of the Wind Power Forecasting System, KIER Forecaster (풍력발전 예보시스템 KIER Forecaster의 개발)

  • Kim, Hyun-Goo;Jang, Mun-Seok;Kyong, Nam-Ho;Lee, Yung-Seop
    • 한국신재생에너지학회:학술대회논문집
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    • 2006.06a
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    • pp.323-324
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    • 2006
  • In the present paper a forecasting system of wind power generation for Walryong Site, Jejudo is presented, which has been developed and evaluated as a first step toward establishing Korea Forecasting Model of Wind Power Generation. The forecasting model, KIER forecaster is constructed based on statistical models and is trained with wind speed data observed at Gosan Weather Station nearby Walryong Si to. Due to short period of measurements at Walryong Site for training statistical model, Gosan wind data were substituted and transplanted to Walryong Site by using Measure-Correlate-Predict technique. Three-hour advanced forecast ins shows good agreement with the measurement at Walryong site with the correlation factor 0.88 and MAE(mean absolute error) 15% under.

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A Study on the Optimal Probe Path Generation for Sculptured Surface Inspection Using the Coordinate Measuring Machine (3차원 측정기를 이용한 자유곡면 측정시 최적의 경로 결정에 관한 연구)

  • Cho, Myung-Wo;Yi, Seung-Jong;Kim, Moon-Ki
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.10
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    • pp.121-129
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    • 1995
  • The objective of this research is to develop an effective inspection planning strategy for sculptured surfaces by using 3-dimensional Coordinate Measuring Machine (CMM). First, the CAD/CAM database is generated by using the Bezier surface patch mathod and variable cutter step size approach for design and machining of the workpiece model. Then, optimum measuring point locations are determained based on the mean curvature analysis to obtain more effective inspection results for the given sample numbers. An optimal probe sequence generation method is proposed by implementing the Traveling Salesperson (TSP) algorithm and new guide point selection methods are suggested based on the concepts of the variable distance between the first and second guide points. Finally, simulation study and experimental work show the effectiveness of the proposed strategy.

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Allozyme Diversity and Population Genetic Structure in Korean Endemic Plant Species : II. Hosta yingeri (Liliaceae)

  • Chung, Myong Gi
    • Journal of Plant Biology
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    • v.37 no.2
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    • pp.141-149
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    • 1994
  • Levels of genetic diversity, population genetic structure, and gene flow in Hosta yingeri, a herbaceous perennial endemic to Taehuksan, Sohuksan, and Hong Islands, were investigated. Starch gel electrophoresis was conducted on leaves for 101 plants collected from three populations. Although the distribution of thespecies is restricted in the islands, it maintains high levels of genetic variatin; 64% of polymorphic loci in at least one population (Ps), the mean number of alleles per locus (Ap) of 1.92, and the mean effective number of alleles per locus (Aep) of 1.52. Overall, mean genetic diversity (Hep=0.250) was substantially higher than mean estimate for species with very similarlife history traits (0.102). Large populaton size, the persistence of multiple generations within populations, high fecundity, predominantly outcrossing breeding system, large size of pollinator visitation areas may be explanatory factors contributing the higher level of genetic diversity maintained within populations. Analysis of fixation indices showed an overall slight excess of heterozygotes (mean FIS=-0.066) relative to Hardy-Weinberg expectations, which may in part be due to the near self-incompatible breeding system in the species. Significant differences in allele frequencies among populaitns were found for 14 out of 16 polymorphic loci (P<0.05). Slightly more than 80% of the total variation in the species was common to all populations (GST=0.198). As expected, indirect estimate of the number of migrants per generation (Nm=0.45, calculated from mean GST) and nine private alleles found in the three populations indicate that gene movement among three isolated island populations was low.

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New Generation행s Consumer roles and Green Consumption Behavior (신세대 소비자의 역할수행 및 녹색소비행동)

  • 계선자
    • Journal of Family Resource Management and Policy Review
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    • v.3 no.1
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    • pp.1-15
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    • 1999
  • The purpose of this study is to find out the tendency of the new generation’s consumer roles and green consumption behavior for the environmental conservation. This study is also to reveal some fundamental information for an environmental education program which si able to support the new generation consumers to participate voluntarily in an environmental activity. The 500 subjects of this study were selected from the new generation consumers who wre residing in Seoul, 1998. The 414 data wre finally analyzed by Mean, t-Test, ANOVA, and Multiple Regression Analysis. The major findings were as follows: 1) the purchasing roles of the new generation consumer tended to be higher than the citizen participation’s roles. The variables with the higher score for the new generation’s green consumption behavior were in the rank of the isolation of environmental waste, the purchasing behavior of green product, the recycling environmental resource, and citizen’s participating roles in environmental activity. 2) the new generation’s consumer roles showed a significant differences, according to variables for the environmental value, environmental education, and participation of the environmental and societal activity 3) the green consumption behavior for the new generation consumers showed a significant differences, according to sex, environmental value, participation of the environmental and societal activity. 4) the most influential variables for the green consumption behavior of the new generation consumers were in the rank of consumer roles, educational values, and the participation of the environmental activity. As we see above, the consumer education for the new generations needs to focus on consumer’s roles that let them participate voluntarily in environmental and societal activity, as well as practice positively to use green environmental products whenever they select some items in the markets.

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Estimation of Parking Requirements of an Apartment (공동주택 주차장 설치기준)

  • Oh, Jae Hak;Park, Junsik
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.4D
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    • pp.451-457
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    • 2009
  • This study verifies parking requirements of an apartment suggested in parking generation law in Korea through analysing the surveyed parking generation rate. It is revealed that the parking requirements according to the gross floor area in parking generation law is similar to the surveyed parking generation rate as an average but the differences of each requirements by region and apartment's size are not significant. Parking generation rate results in strong correlation with the number of household rather than the gross floor area, and the new requirements suggested in this study, based on the number of household, shows significant difference by region and apartment's size, which is consistent with common sense. This study suggests parking requirements of an apartment, based on the number of household, by region and apartment's size for 6 groups. Surveyed parking generation rate of each group is fitted to statistical distribution and the mean value of fitted statistical distribution is suggested as the parking requirements of each group. Parking requirements based on the number of household is easily recognized of its relative and absolute value, and moreover is consistent with the surveyed parking generation rate.

The Generation of Poisson Random Variates

  • Park, Chae-Ha
    • Journal of Korean Institute of Industrial Engineers
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    • v.1 no.1
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    • pp.87-92
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    • 1975
  • Three approximation methods for generating outcomes on Poisson random variables are discussed. A comparison is made to determine which method requires the least computer execution time and to determine which is the most robust approximation. Results of the comparison study suggest the method to choose for the generating procedure depends on the mean value of Poisson random variable which is being generated.

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A Study on the Low Force Estimation of Skeletal Muscle by using ICA and Neuro-transmission Model (독립성분 분석과 신전달 모델을 이용한 근육의 미세한 힘의 추정에 관한 연구)

  • Yoo, Sae-Keun;Youm, Doo-Ho;Lee, Ho-Yong;Kim, Sung-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.3
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    • pp.632-640
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    • 2007
  • The low force estimation method of skeletal muscle was proposed by using ICA(independent component analysis) and neuro-transmission model. An EMG decomposition is the procedure by which the signal is classified into its constituent MUAP(motor unit action potential). The force index of electromyography was due to the generation of MUAP. To estimate low force, current analysis technique, such as RMS(root mean square) and MAV(mean absolute value), have not been shown to provide direct measures of the number and timing of motoneurons firing or their firing frequencies, but are used due to lack of other options. In this paper, the method based on ICA and chemical signal transmission mechanism from neuron to muscle was proposed. The force generation model consists of two linear, first-order low pass filters separated by a static non-linearity. The model takes a modulated IPI(inter pulse interval) as input and produces isometric force as output. Both the step and random train were applied to the neuro-transmission model. As a results, the ICA has shown remarkable enhancement by finding a hidden MAUP from the original superimposed EMG signal and estimating accurate IPI. And the proposed estimation technique shows good agreements with the low force measured comparing with RMS and MAV method to the input patterns.

Development of Reliability Analysis Procedures for Repairable Systems with Interval Failure Time Data and a Related Case Study (구간 고장 데이터가 주어진 수리가능 시스템의 신뢰도 분석절차 개발 및 사례연구)

  • Cho, Cha-Hyun;Yum, Bong-Jin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.5
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    • pp.859-870
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    • 2011
  • The purpose of this paper is to develop reliability analysis procedures for repairable systems with interval failure time data and apply the procedures for assessing the storage reliability of a subsystem of a certain type of guided missile. In the procedures, the interval failure time data are converted to pseudo failure times using the uniform random generation method, mid-point method or equispaced intervals method. Then, such analytic trend tests as Laplace, Lewis-Robinson, Pair-wise Comparison Nonparametric tests are used to determine whether the failure process follows a renewal or non-renewal process. Monte Carlo simulation experiments are conducted to compare the three conversion methods in terms of the statistical performance for each trend test when the underlying process is homogeneous Poisson, renewal, or non-homogeneous Poisson. The simulation results show that the uniform random generation method is best among the three. These results are applied to actual field data collected for a subsystem of a certain type of guided missile to identify its failure process and to estimate its mean time to failure and annual mean repair cost.

A Study on Current Energy Consumption and Recycling at Public Wastewater Treatment Plants in Korea (국내 공공하수도 시설의 에너지 사용 및 자원화실태 조사연구)

  • Park, Seungho;Kim, Byongjoo;Bae, Jae-Ho;Lee, Cheol Mo;Kim, Eung-Ho
    • Journal of Korean Society of Water and Wastewater
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    • v.21 no.5
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    • pp.539-549
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    • 2007
  • To establish effective and prompt measures for energy conservation in public wastewater treatment plants in Korea, energy consumption rates in 233 utilities in 9 provinces and 7 metropolitan cities are investigated and compared to the rest of the world. Mean load factor for wastewater treatment utilities is 74.9% and those for influent pumps and aeration blowers are 56.2% and 61.0%, respectively. Mean electrical energy usages as the key performance indicators are $0.243kWh/m^3$ for overall sewage treatments and 2.07 kWh per unit kg BOD removal. Digester gas as one of major byproducts in the process amounts to $382,000m^3/day$ nationwide. While major part of the digester gas is used for sludge heating, only 7.3% of the gas is utilized for electricity generation. Both efficiencies for BOD removal and digestion gas generation are considerably lower than those in USA and EU utilities due to low concentration of organic material in influent wastewater. Such low energy regeneration, in turn, results in significantly higher energy consumption in Korean plants, compared to that in USA and EU ones.

Wind field generation for performance-based structural design of transmission lines in a mountainous area

  • Lou, Wenjuan;Bai, Hang;Huang, Mingfeng;Duan, Zhiyong;Bian, Rong
    • Wind and Structures
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    • v.31 no.2
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    • pp.165-183
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    • 2020
  • The first step of performance-based design for transmission lines is the determination of wind fields as well as wind loads, which are largely depending on local wind climate and the surrounding terrain. Wind fields in a mountainous area are very different with that in a flat terrain. This paper firstly investigated both mean and fluctuating wind characteristics of a typical mountainous wind field by wind tunnel tests and computational fluid dynamics (CFD). The speedup effects of mean wind and specific turbulence properties, i.e., turbulence intensity, power spectral density (PSD) and coherence function, are highlighted. Then a hybrid simulation framework for generating three dimensional (3D) wind velocity field in the mountainous area was proposed by combining the CFD and proper orthogonal decomposition (POD) method given the properties of the target turbulence field. Finally, a practical 220 kV transmission line was employed to demonstrate the effectiveness of the proposed wind field generation framework and its role in the performance-based design. It was found that the terrain-induce turbulence effects dominate the performance-based structural design of transmission lines running through the mountainous area.