• Title/Summary/Keyword: energy index

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A Study on Flame Extinction in Oxymethane Combustion (메탄 산소 연소에 있어서 화염 소화에 대한 연구)

  • Kim, Tae Hyung;Kwon, Oh Boong;Park, Jeong;Keel, Sang-In;Yun, Jin-Han;Park, Jong Ho
    • Journal of the Korean Society of Combustion
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    • v.20 no.4
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    • pp.34-41
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    • 2015
  • Oxy-methane nonpremixed flames diluted with $CO_2$ were investigated to clarify impact of radiation heat loss and chemical effects of additional $CO_2$ to oxidizer stream on flame extinction. Flame stability maps were presented with functional dependencies of critical diluents mole fraction upon global strain rate at several oxidizer stream temperatures in $CH_4-O_2/N_2$, $CH_4-O_2/CO_2$, and $CH_4-O_2/CO_2/N_2$ counterflow flames. The effects of radiation heat loss on the critical diluent mole fractions for flame extinction are not significant even at low strain rate in nonpremixed $CH_4-O_2/N_2$ diffusion flame, whereas those are significant at low strain rate and are negligible at high strain rate (> $200s^{-1}$) in $CH_4-O_2/CO_2$ and $CH_4-O_2/CO_2/N_2$ counterflow flames. Chemical effects of additional $CO_2$ to oxidizer stream on the flame extinction curves were appreciable in both $CH_4-O_2/CO_2$ and $CH_4-O_2/CO_2/N_2$ flames. A scaling analysis based on asymptotic solution of stretched flame extinction was applied. A specific radical index, which could reflect the OH population in main reaction zone via controlling the mixture composition in the oxidizer stream, was identified to quantify the chemical kinetic contribution to flame extinction. A good correlation of predicted extinction limits to those calculated numerically were obtained via the ratio between radical indices and oxidizer Lewis numbers for the target and baseline flames. This offered an effective approach to estimate extinction strain rate of nonpremixed oxy-methane flames permitting air infiltration when the baseline flame was taken to nonpremixed $CH_4-O_2/N_2$ flame.

Effects of Aerosol Optical Properties on Upward Shortwave Flux in the Presence of Aerosol and Cloud layers (구름과 에어로솔의 혼재시 에어로솔의 광학특성이 상향 단파 복사에 미치는 영향)

  • Lee, Kwon-Ho
    • Korean Journal of Remote Sensing
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    • v.33 no.3
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    • pp.301-311
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    • 2017
  • Aerosol optical properties as well as vertical location of layer can alter the radiative balance of the Earth by reflecting and absorbing solar radiation. In this study, radiative transfer model (RTM) and satellite-based analysis have been used to quantify the top-of-atmosphere (TOA) radiative effect of aerosol layers in the cloudy atmosphere of the northeast Asia. RTM simulation results show that the atmospheric warming effect of aerosols increases with their height in the presence of underlying cloud layer. This relationship is higher for stronger absorbing aerosols and higher surface albedo condition. Over study region ($20-50^{\circ}N$, $110-140^{\circ}E$) and aerosol event cases, it is possible to qualitatively identify absorbing aerosol effects in the presence of clouds by combining the UV Absorbing Aerosol Index (AAI) derived from Total Ozone Mapping Spectrometer (TOMS), cloud parameters derived from the Moderate Resolution Imaging Spectro-radiometer (MODIS), with TOA Upward Shortwave Flux (USF) from the Clouds and the Earth's Radiant Energy System (CERES). As the regional-mean radiative effect of aerosols, 6 - 26 % lower the USF between aerosols and cloud cover is taken into account. These results demonstrate the importance of estimation for the accurate quantification of aerosol's direct and indirect effect.

A Study on Prevalence of Obesity and Its Related Factors in Housewives Residing in Apartments in Taegu (대구시내 아파트 거주 주부들의 비만 실태와 비만 요인에 관한 연구)

  • 박갑선
    • Journal of Nutrition and Health
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    • v.23 no.3
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    • pp.170-178
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    • 1990
  • The aim of the study was to investigate prevalence of obesity among housewives residing in apartments in Taegu city and any relationship of obesity with various factors. Hundred three housewives aged 30-49 years living in apartments (over 30 pyung) were interviewed for socio-economic status, food habit, food intake by a convenient questionnaire, and daily activity by the 24-hour recall. Their weight, height and triceps skinfold thickness were measured. The results were summarized as follows: 1) The percentages of subjects and their spouses with college and higher education were as much as 53.6% and 83.5%, respectively. The commonest family size was four members with two children. 2) The percentages of subjects classified as underweight, normal, overweight, and obesity according to relative body weight(RBW) were 4.9, 44.7, 24.3 and 26.2, respectively. Twenty four percent belonged to obese group according to body mass index(BMI$\geq$25). 3) Food habit score was 12.4 points in average and judged 'good'. The average of daily energy intake was 2247㎉ which corresponded to 112% of RDA and intakes of nutrients except iron exceeded RDA. The means of food habit score and energy intake were not significantly different among 4 groups. 4) Multiple regression analysis was tested to explain a relationship between fatness and various factors. The equation, BMI=25.216+(0.836$\times$family size)-(0.309$\times$education, years)-(0.00503$\times$household work time, minutes), indicates that fatness of housewives was related with family size(+), educational level(-) and household work time(-). These relationships were statistically significant(p<0.001) and R2 (coefficient of determination) was 0.237.

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Estimation of Spatial Evapotranspiration Using Terra MODIS Satellite Image and SEBAL Model - A Case of Yongdam Dam Watershed - (Terra MODIS 위성영상과 SEBAL 모형을 이용한 공간증발산량 산정 연구 - 용담댐 유역을 대상으로 -)

  • Lee, Yong-Gwan;Kim, Sang-Ho;Ahn, So-Ra;Choi, Min-Ha;Lim, Kwang-Suop;Kim, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.1
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    • pp.90-104
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    • 2015
  • The purpose of this paper is to build a spatio-temporal evapotranspiration(ET) estimation model using Terra MODIS satellite image and by calibrating with the flux tower ET data from watershed. The fundamentals of spatial ET model, Surface Energy Balance Algorithm for Land(SEBAL) was adopted and modified to estimate the daily ET of Yongdam Dam watershed in South Korea. The daily Normalized Distribution Vegetation Index(NDVI), Albedo, and Land Surface Temperature(LST) from MODIS and the ground measured wind speed and solar radiation data were prepared for 2 years(2012-2013). The SEBAL was calibrated with the forest ET measured by Deokyusan flux tower in the study watershed. Among the model parameters, the important parameters were surface albedo, NDVI and surface roughness in order for momentum transport during calculation of sensible heat flux. As a result of the final calibration, the monthly averaged albedo and NDVI were used because the daily values showed big deviation with unrealistic change. The determination coefficient($R^2$) between SEBAL and flux data was 0.45. The spatial ET reflected the geographical characteristics showing the ET of lowland areas was higher than the highland ET.

Keyword Network Analysis of Trends in Research on Climate Change Education (키워드 네트워크 분석을 활용한 기후변화 교육 관련 연구동향 분석)

  • Kim, Soon Shik;Lee, Sang Gyun
    • Journal of the Korean Society of Earth Science Education
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    • v.13 no.3
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    • pp.226-237
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    • 2020
  • The purpose of the research is to analyze research trends related to climate change education by network analysis based on keywords extracted from the research title. For this purpose, 62 papers were selected from Korean Citation Index(KCI) journals published from 2011 to 2020 using such keywords as "climate change" and "climate change education" in the Research Information Sharing Service. The analysis procedure consisted of selection of analysis papers, keyword extraction and purification, and keyword network analysis and visualization. Textom, Ucinet 6.0, and NetDraw were used to analyze the frequency, degree centrality, and betweenness centrality. The results of the research showed that, first, Early 'Energy and Climate Change Education' had the highest frequency of papers examining climate change education. Second, the keywords/phrases that appeared most frequently in research on climate change education were "program" "energy," "analysis," "elementary school," "elementary school," "elementary school students," "development," and "impact." Third, the analysis of the centrality of betweenness centrality showed that the index of 'program', 'primary students' and 'primary schools' were the highest, and the largest group was 'development and effect of teaching and learning programs'. Based on these results, it was concluded that future research on climate change education needs to be examined in further detail and expanded into more specific areas.

Kinetic Modeling for Predicting the Quality of Squid (Todarodes pacificus) during Storage and Distribution (저장유통 조건에 따른 오징어 품질예측 모델링)

  • Kim, So-i;Shin, Jiyoung;Kim, Hyunsuk;Yang, Ji-young
    • Journal of Food Hygiene and Safety
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    • v.37 no.3
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    • pp.173-180
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    • 2022
  • There are a number of methods to evaluate the quality of squid. However, when purchasing the fish, consumers and retails rely only on the sensory test and flavor in the field. Therefore, this study was aimed to prove relationship between scientific indicator and sensory test. Total viable cell count (TVC), viable cell count of Pseudomonas spp., pH and volatile basic nitrogen (VBN) were selected as scientific indicators and mesured during the storage of squid at different temperature. The squid was storaged at 3 different temperature (5℃, 15℃, 20℃). Off flavor determination time was measured by R-index, and kinetic modeling was conducted. Activation energies of off-flavor determination time, TVC, Pseudomonas spp, VBN, and pH were 51.210 kJ/mol, 42.88 kJ/mol, 50.283 kJ/mol, 72.594 kJ/mol and 41.99 kJ/mol respectively. Activation energy of off-flavor determination time was approximated to viable cell count of Pseudomonas spp., TVC, pH and VBN as an order. Especially, viable cell count of Pseudomonas spp. had best match of the activation energy. Therefore, it was judged that indicator of off-flavor determine time was viable cell count of Pseudomonas spp..

Evaluation of Water Quality Change by Membrane Damage to Pretreatment Process on SDI in Wastewater Reuse (하수재이용에서 전처리 막 손상에 의한 수질변화가 SDI에 미치는 영향평가)

  • Lee, Min Soo;Seo, Dongjoo;Lee, Yong-Soo;Chung, Kun Yong
    • Membrane Journal
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    • v.32 no.4
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    • pp.253-263
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    • 2022
  • This study suggests a guideline for designing unit process of wastewater reuse in terms of a maintenance of the process based on critical parameters to draw a high quality performance of RO unit. Defining the parameters was done by applying membrane integrity test (MIT) in pretreatment process utilizing lab-scale MF. SDI is utilized for judging whether permeate is suitable to RO unit. However, result said TOC concentration matching with particle count analysis is better for judging the permeate condition. When membrane test pressure (Ptest) was measured to derive log removal value in PDT, virgin state of membrane fiber was used to measure dynamic contact angle utilizing surface tension of the membrane fiber. Actually, foulant affects to the state of membrane surface, and it decreases the Ptest value along with time elapsed. Consequently, LRVDIT is also affected by Ptest value. Thus, sensitivity of direct integrity test descends with result of Ptest value change, so Ptest value should be considered not the virgin state of the membrane but its current state. Overall, this study focuses on defining design parameters suitable to MF pretreatment for RO process in wastewater reuse by assessing its impact. Therefore, utilities can acknowledge that the membrane surface condition must be considered when users conduct the direct integrity test so that Ptest and other relative parameter used to calculate LRVDIT are adequately measured.

Geotechnical Engineering Characteristics of Ulleung Basin Sediment, East Sea (동해, 울릉 분지 심해토의 지반공학특성)

  • Lee, Chang-Ho;Yun, Tae-Sup;J.C., Santamarina;Bahk, Jang-Jun;Lee, Jong-Sub
    • Journal of the Korean Geotechnical Society
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    • v.25 no.6
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    • pp.17-29
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    • 2009
  • There has been an increase in the investigation of deep sea sediments with a consequent increase in the amount of energy required to undertake these investigations. The geotechnical characteristics of Ulleung Basin sediment are explored by using depressurized specimens following methane production tests carried out on pressured core samples obtained at 2,100 m water depth and 110 m below sea floor. Geotechnical index tests, X-ray diffraction, and scanning electron microscope are conducted to identify the geotechnical index parameters, clay mineralogy, chemical composition, and microstructure of the sediments. Compressibility, and elastic and electromagnetic wave parameters are investigated for two samples by using a multi sensing instrumented oedometer cell. The strength chatracteristics are obtained by the direct shear tests. The dominant clay minerals are mostly kaolinite, illite, chlorite, and calcite. The SEM shows a well-developed flocculated structure of the microfossil. Void ratio, electrical resistivity, real permittivity, conductivity, and shear wave velocity show bi-linear behavior with the effective vertical stress: as the vertical effective stress increases. The friction angle obtained by the direct shear test is about $21^{\circ}$, which is similar to the value observed in the Ulleung Basin sediments. This study shows that the understanding of the behavior acting on the diatomaceous marine sediment is important because it often maintains the useful energy resources such as gas hydrate and so will be the new engineering field in the next generation.

Comparison of CNN and GAN-based Deep Learning Models for Ground Roll Suppression (그라운드-롤 제거를 위한 CNN과 GAN 기반 딥러닝 모델 비교 분석)

  • Sangin Cho;Sukjoon Pyun
    • Geophysics and Geophysical Exploration
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    • v.26 no.2
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    • pp.37-51
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    • 2023
  • The ground roll is the most common coherent noise in land seismic data and has an amplitude much larger than the reflection event we usually want to obtain. Therefore, ground roll suppression is a crucial step in seismic data processing. Several techniques, such as f-k filtering and curvelet transform, have been developed to suppress the ground roll. However, the existing methods still require improvements in suppression performance and efficiency. Various studies on the suppression of ground roll in seismic data have recently been conducted using deep learning methods developed for image processing. In this paper, we introduce three models (DnCNN (De-noiseCNN), pix2pix, and CycleGAN), based on convolutional neural network (CNN) or conditional generative adversarial network (cGAN), for ground roll suppression and explain them in detail through numerical examples. Common shot gathers from the same field were divided into training and test datasets to compare the algorithms. We trained the models using the training data and evaluated their performances using the test data. When training these models with field data, ground roll removed data are required; therefore, the ground roll is suppressed by f-k filtering and used as the ground-truth data. To evaluate the performance of the deep learning models and compare the training results, we utilized quantitative indicators such as the correlation coefficient and structural similarity index measure (SSIM) based on the similarity to the ground-truth data. The DnCNN model exhibited the best performance, and we confirmed that other models could also be applied to suppress the ground roll.

Development of an Eating Habit Checklist for Screening Elementary School Children at High Risk of Energy Overintake (초등학생의 에너지 과잉섭취 위험 진단을 위한 식습관평가표 개발)

  • Yon, Mi-Yong;Hyun, Tai-Sun
    • Journal of Nutrition and Health
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    • v.41 no.5
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    • pp.414-427
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    • 2008
  • The purpose of the study was to develop an eating habit checklist for screening elementary school children at high risk of energy overintake. Dietary habits, food intake, anthropometric data were collected from 142 children (80 boys and 62 girls) in the 4th to 6th grades of elementary schools. Energy intake, fat intake, and percentage of Estimated Energy Requirement (%EER) were used as indices to detect the risk of energy overintake of the children. Pearson correlation coefficients were calculated between dietary habit scores and energy overintake indices in order to select questions included in the checklist. TV watching during the meal, meal speed, meal amount, overintake frequency, eatingout frequency, snack frequency, frequency of eating Ramyun or fast foods showed significant correlations with energy overintake indices. Stepwise regression analysis was performed to give each item a different weight by prediction strength. To determine the cut-off point of the test score, sensitivity, specificity, and positive predictive values were calculated. The 7-item checklist with test results from 0 to 13 points was developed, and those with equal or higher than 5 points were diagnosed as a risk group of energy overintake. Among our subjects 13.4% was diagnosed as the risk group. Mean energy intake of the subjects in the risk group and the normal group were 2,650 kcal and 1,640 kcal, respectively. However, there were no significant differences of Index of Nutritional Quality (INQ) of the other nutrients except eating fiber between the risk group and the normal group. This checklist will provide a useful screening tool to identify children at high risk of energy overintake.