• School Mathematics
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• v.3 no.2
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• pp.281-294
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• 2001

As a measure of the center of data, arithmetical mean, median, mode, harmonic mean and geometric mean are generally used. Students must learn qualitative aspect of average values as well as its calculation for its adequate use. As the result of the learning, they should be able to select the appropriate average value according to the characteristic of data and problem context. For this object, the historical origin and visual interpretation of average values were introduced in this paper. And to help teaching several meanings of average values, several examples including context were suggested.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2447-2450
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• 2002

주가지수선물시장은 주식투자에 따르는 위험을 효과적으로 관리할 수 있는 제도적 장치로서 오늘날 불안한 주식시장 현황에 있어서 더욱더 중요한 위치를 갖고 있다. 현재 이러한 주가지수선물거래에 있어서 Moving Average 를 예측하고자 하는 여러 트레이딩 시스템을 선보이고 있다. 이 논문에서는 과거의 데이터를 토대로 한 Moving Average Line 분석에 있어서 일반적으로 기존방법보다 효과적이라고 알려진 유전자 알고리즘을 이용하여 Moving Average 의 최적 Period 예측 시스템을 구현한다.

• Communications for Statistical Applications and Methods
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• v.11 no.2
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• pp.275-285
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• 2004

We explore classification analysis using graphical methods such as sliced inverse regression and sliced average variance estimation based on dimension reduction. Some useful information about classification analysis are obtained by sliced inverse regression and sliced average variance estimation through dimension reduction. Two examples are illustrated, and classification rates by sliced inverse regression and sliced average variance estimation are compared with those by discriminant analysis and logistic regression.

• Journal of the Chungcheong Mathematical Society
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• v.32 no.2
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• pp.165-170
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• 2019

$C^1$ generically, if a diffeomorphism $f:M{\rightarrow}M$ of a closed smooth Riemannian manifold M has the asymptotic average shadowing property or the average shadowing property then f has a decomposition property.

• Journal of the Korean Society of Food Science and Nutrition
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• v.9 no.1
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• pp.51-58
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• 1980

Sixteen species of algae (4 species of green algae, 5 species of brown algae and 7 species of red algae) were collected from the coast of Chungmu, Gyeongnam, from June to October, 1976. The content of minerals in algae were analyzed by Atometic Absorption Spectrophotometer. The results were as followed 1) The content of Iron and Nickel in green algae were abundant, and those of Lead, Nickel and Manganese in brown algae were low. 2) The content of Cadmium were in the range of 0.58-1.04ppm (average: 0.85ppm) in green algae, 0.32-2.10ppm (average: 1.08ppm) in brown algae and 0.54-1.70ppm (average: 1.04ppm) in red algae. The content of Cadmium were in the range of 0.3-0.6ppm in laver, Porphyra tenera, sea mustard, Undaria pinnatifida, and tangle, Laminaria japonica, but its content was lower than those expected. 3) The content of Lead were in the range of 0.67-1.40ppm (average: 1.03ppm) in green algae, 0.60-1.00ppm (average: 0.82ppm) in brown algae, 0.56-2.40ppm (average: 1.28ppm) in red algae and its content in algae were lower than in fish and shellfish. 4) The content of Copper were in the range of 10.8-24.2ppm (average: 18.95ppm) in green algae, 7.4-24.6ppm (average: 18.16ppm) in brown algae, 6.4-31.2ppm (average: 19.94ppm) in red algae and those content were considerably abundant except for some algae. 5) The content of Nickel were in the range of 5.4-16.6ppm (average: 9.1ppm) in green algae, 1.0-4.4ppm (average: 2.32ppm) in brown algae and 0.7-4.6ppm (average: 2.59ppm) in red algae. 6) The content of Iron were in the range of 686.4-1159.0ppm (average: 916.5ppm) in green algae, 131.0-499.2ppm (average: 310.16ppm) in brown algae and 156.0-530.4ppm (average: 248.2ppm) in red algae. Especially, that of Iron in green algae showed higher value than in any other. 7) The content of Manganese were in the range of 48-221ppm (average: 157.25ppm) in green algae, 12-65ppm (average: 41ppm) in brown algae and 72-162ppm (average: 121ppm) in red algae. Especially, that of Manganese in brown algae showed lower value than in any other. 8) The content of Zinc were in the range of 191.3-451.1ppm (average: 290.05ppm) in green algae, 89.9-374.2ppm (average: 202.64ppm) in brown algae and 106.4-281.4ppm (average: 188.93ppm) in red algae. 9) The content of Magnesium were in the range of 0.48-1.83% (average: 1.27%) in green algae, 1.04-1.71% (average: 1.21%) in brown algae and 0.42-1.24% (average: 0.097%) in red algae. 10) The content of Fluorine were in the range of 29.2-92.7ppm (average: 53.03ppm) in green algae, 33.3-43.5ppm (average: 39.18ppm) in brown algae and 32.4-59.0ppm (average: 44.84ppm) in red algae.

• Journal of Biosystems Engineering
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• v.15 no.2
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• pp.123-133
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• 1990

Thermal performance of a solar heating plastic greenhouse designed for a hydroponic system was studied. The system was constructed with the air-water heat exchanger and thermal storage tank that were combined with hydroponic water beds. Experiments were carried out to investigate the daily average heat stored and released in thermal storage tank, average solar energy collection efficiency, average coefficient of performance, average oil reduction factor of thermal storage system, and the heat transfer coefficient during the nighttime in plastic greenhouse. The results obtained in the present study are summarized as follows. 1. Daily average heat stored in thermal storage tank and released from the thermal storage tank was 1,259 and $797KJ/m^2$ day, respectively. 2. The average solar energy collection efficiency of thermal storage tank was 0.125 during the experiment period. And the average coefficient of performance of thermal storage system in plastic greenhouse was 3.6. 3. The average oil reduction factor of thermal storage system and the heat transfer coefficient during the nighttime in plastic greenhouse were found to be 0.52 and $4.3W/m^2\;hr\;^{\circ}C$, respectively.

• Journal of environmental and Sanitary engineering
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• v.23 no.3
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• pp.23-30
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• 2008

This study was carried out to get efficient of nutrient removal effects on the treatment of paper making wastewater using submerged biological film process. The concentration of average BOD at raw wastewater was $324mg/{\ell}$ and COD was $435mg/{\ell}$. The average BOD of effluent was maintained $24.2mg/{\ell}$ and average COD was $37mg/{\ell}$. The concentration of average T-N at raw wastewater was $16.5mg/{\ell}$ and T-P was $1.2mg/{\ell}$. The average T-P of effluent was maintained $2.3mg/{\ell}$ and average T-P was $0.08mg/{\ell}$. The concentration of average SS at influent wastewater was $263mg/{\ell}$. The average SS of effluent was maintained $28.2mg/{\ell}$. The result of this experiment was wastage sludge did generated and the removal efficiency of nutrients were kept equilibrium.

• Journal of Preventive Medicine and Public Health
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• v.4 no.1
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• pp.1-18
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• 1971

Eleven nonathletes and eleven athletes were exercised on a standardised Harvard step test, and the average rate of change in QRS amplitude in lead III of the electocardiogram associated with heart rotation and the average change in rate of heart beat were observed. 1. After the Harvard step exercise, the average rate of change in QRS amplitude in lead III of both groups increased. This was due to the clockwise rotation of the heart and was associated with respiratory movement. The diaphragm was inferred to remain for a while in a relatively more inspiratory position. 2. After the Halved step exercise, a high correlation between the recovery of the average rate of change in QRS amplitude in lead III and the average change in rate of heart beat was observed in the athletic group. 3. In the nonathletic group there was no significant correlation between the average rate of QRS amplitude change and the average rate of change of heart beat. 4. Athletes were assumed to be trained to ventilate quickly at their maximum ability, using deep descending movements of the diaphragm and other respiratory musclature. Consequently, the average in rate of heart beat also recovered quickly. 5. Nonathletes were inferred not to have been trained to adjust quickly to ventilate so efficiently with their diaphragm movement and other respiratory musculature, and are characterised by their longer time to complete recovery.

• Journal of Environmental Science International
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• v.33 no.2
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• pp.179-185
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• 2024

This study aimed to evaluate the differences in canine preferences for pet food terrine according to the processing method. As companion dogs, three male Spitz canines (average age 12 years, average weight 7 kg) and three male Spitz mix canines (average age 12 years, average weight 5 kg) were used in Experiment 1, whereas five male (average age 10 years, average weight 9 kg) and five female Shetland Sheepdogs (Sheltie, average age 10 years, average weight 8 kg) were used in Experiment 2, to evaluate their preferences and intake types. In both experiments, all dog categories mostly preferred 'meat' when it came to their first choice of food consumed, followed by 'vegetables', 'mixed eating', and 'vegetable leftover' last. This confirms means that canines are carnivores, and over time, choosing 'vegetables' or 'vegetable leftovers' as a secondary or alternate food source can be considered a natural process. When provided various terrines, canines in both experiments first ingested 'cooked' rather than 'freeze-dried' duck, chicken, beef, and pork terrines when selecting food at the start of feeding. For both experiments, most of the intake types using duck, chicken, beef, and pork terrine showed a preference for 'after consuming cooked terrine first and then intake freeze-dried' item. In conclusion, the reason for preferring cooked terrine can be attributed to the difference in the preparation cooking method of freeze-dried cooked terrine.

• Journal of Korean Society for Atmospheric Environment
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• v.32 no.5
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• pp.513-525
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• 2016

To propose an effective ensemble methods in predicting $PM_{10}$ concentration, six experiments were designed by different ensemble average methods (e.g., non-weighted, single weighted, and cluster weighted methods). The single weighted method was calculated the weighted value using both multiple regression analysis and singular value decomposition and the cluster weighted method was estimated the weighted value based on temperature, relative humidity, and wind component using multiple regression analysis. The effects of ensemble average methods were significantly better in weighted average than non-weight. The results of ensemble experiments using weighted average methods were distinguished according to methods calculating the weighted value. The single weighted average method using multiple regression analysis showed the highest accuracy for hourly $PM_{10}$ concentration, and the cluster weighted average method based on relative humidity showed the highest accuracy for daily mean $PM_{10}$ concentration. However, the result of ensemble spread analysis showed better reliability in the single weighted average method than the cluster weighted average method based on relative humidity. Thus, the single weighted average method was the most effective method in this study case.