• Asian Journal of Turfgrass Science
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• v.25 no.1
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• pp.79-88
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• 2011

The purpose of this study was to obtain information on rates and salinity levels of irrigation for growth of Kentucky bluegrass by minimizing the hazard of salt accumulation in the sand based growing medium. Root zone profile consists of 20 cm sand based top soil, 20 cm of coarse sand as layer to interrupt capillary rise and 10 cm of reclaimed paddy soil as a base of the root zone profile. Topsoil was a mixture of dredged sand and peat with a ratio of 95%: 5% by volume. The columns were soaked into 5 cm depth saline water reservoir with salinity level of 3-5 $dSm^{-1}$. Salinity levels of irrigation water were 0, 2 and 3 $dSm^{-1}$. Irrigation rates were 3.8, 5.7 and 7.6 mm $day^{-1}$ which were equivalent to 70%, 100% and 130% of average ET (evapotranspiration) rate of Kentucky bluegrass, and irrigation interval was 3 days. Salt accumulation was due to irrigated water and moved up water from shallow water base. At the end of second year, the accumulation of salt in the rootzone showed ECc of3.86, 4.7 and 5.1 $dSm^{-1}$, and SAR of 19.2, 23.9 and 27.5 when the salinities were 0, 2 and 3 dS $m^{-1}$, respectively. Irrigation rates of 100% and 130% of ET rate with saline water did not decrease ECe and SAR in growing media. The growth of KEG was influenced by irrigation rate in the $1^{st}$ year, however, salinity level was more critical in the $2^{nd}$ year. Compared to non-saline water, saline water of 2 and 3 dS $m^{-1}$ resulted in decreased visual quality by 3.2% and 16.5%, by 6.4% and 39.3% in clipping weight, and by 5.5% and 5.0% in root mass, respectively.

• The Korean Journal of Pesticide Science
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• v.17 no.2
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• pp.94-106
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• 2013

The proficiency testing for the residue laboratories of pesticide registration was conducted in order to improve the reliability and the ability for pesticide residue analysis. On October 2011 the testing was carried out using the soil collected and kept as the moistened state for five years, which is expected to very low residue levels of pesticides. The soil was fortified with chlorpyrifos, metolachlor and procymidone in a manner similar to prepare soil sample for indoor soil degradation test, and then sub-samples were prepared for the distribution to participants. Some of them were randomly selected for confirm of homogeneity and to ensure the stability of samples at room temperature. Samples were consisted of two soil treated as different levels, one of which was used to the assesment and another used to confirm. In addition, provide three standard solutions, respectively concentration of 10 mg/L, and untreated soil. Forty seven institutions submitted results. The medians of results were used as the assigned values for pesticide residues. Fitness for purpose standard deviation of proficiency test was calculated by applying 20% RSD as the coefficient of variation allowed in the soil residue test. Z-score was applied for evaluation of individual pesticides, and the average of the absolute value of the Z-score for the overall assessment of pesticides. Laboratories evaluated the absolute value of the Z-score less than 2 to fit the case of chlorpyrifos and procymidone were 44, metolachlor 40.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.43-57
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• 2012

To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.6
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• pp.16-24
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• 2015

This study quantified storage and annual uptake of carbon for riparian greenspaces established in watersheds of four major rivers in South Korea and explored desirable strategies to improve carbon reduction effects of riparian greenspaces. Greenspace structure and planting technique in the 40 study sites sampled were represented by single-layered planting of small trees in low density, with stem diameter at breast height of $6.9{\pm}0.2cm$ and planting density of $10.4{\pm}0.8trees/100m^2$ on average. Storage and annual uptake of carbon per unit area by planted trees averaged $8.2{\pm}0.5t/ha$ and $1.7{\pm}0.1t/ha/yr$, respectively, increasing as planting density got higher. Mean organic matter and carbon storage in soils were $1.4{\pm}0.1%$ and $26.4{\pm}1.5t/ha$, respectively. Planted trees and soils per ha stored the amount of carbon emitted from gasoline consumption of about 61 kL, and the trees per ha annually offset carbon emissions from gasoline use of about 3 kL. These carbon reduction effects are associated with tree growth over five years to fewer than 10 years after planting, and predicted to become much greater as the planted trees grow. This study simulated changes in annual carbon uptake by tree growth over future 30 years for typical planting models selected as different from the planting technique in the study sites. The simulation revealed that cumulative annual carbon uptake for a multilayered and grouped ecological planting model with both larger tree size and higher planting density was approximately 1.9 times greater 10 years after planting and 1.5 times greater 30 years after than that in the study sites. Strategies to improve carbon reduction effects of riparian greenspaces suggest multilayered and grouped planting mixed with relatively large trees, middle/high density planting of native species mixed with fast-growing trees, and securing the soil environment favorable for normal growth of planting tree species. The research findings are expected to be useful as practical guidelines to improve the role of a carbon uptake source, in addition to water quality conservation and wildlife inhabitation, in implementing riparian greenspace projects under the beginning stage.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.9
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• pp.351-360
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• 2018

The LWR (Locally Weighted Regression) model, which is traditionally a lazy learning model, is designed to obtain the solution of the prediction according to the input variable, the query point, and it is a kind of the regression equation in the short interval obtained as a result of the learning that gives a higher weight value closer to the query point. We study on an incremental ensemble learning approach for LWR, a form of lazy learning and memory-based learning. The proposed incremental ensemble learning method of LWR is to sequentially generate and integrate LWR models over time using a genetic algorithm to obtain a solution of a specific query point. The weaknesses of existing LWR models are that multiple LWR models can be generated based on the indicator function and data sample selection, and the quality of the predictions can also vary depending on this model. However, no research has been conducted to solve the problem of selection or combination of multiple LWR models. In this study, after generating the initial LWR model according to the indicator function and the sample data set, we iterate evolution learning process to obtain the proper indicator function and assess the LWR models applied to the other sample data sets to overcome the data set bias. We adopt Eager learning method to generate and store LWR model gradually when data is generated for all sections. In order to obtain a prediction solution at a specific point in time, an LWR model is generated based on newly generated data within a predetermined interval and then combined with existing LWR models in a section using a genetic algorithm. The proposed method shows better results than the method of selecting multiple LWR models using the simple average method. The results of this study are compared with the predicted results using multiple regression analysis by applying the real data such as the amount of traffic per hour in a specific area and hourly sales of a resting place of the highway, etc.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.69-85
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• 2014

Carbon stocks of NFI plots can be accurately estimated using field survey information. However, an accurate estimation of carbon stocks in other unsurveyed sites is very difficult. In order to fill this gap, various spatial information can be used as an ancillary data. In South Korea, there is the 1:5,000 forest type map that was produced by digital air-photo interpretation and field survey. Because this map contains very detailed forest information, it can be used as the high-quality spatial data for estimating carbon stocks. In this study, we compared three upscaling methods based on the 1:5,000 forest type map and 5th national forest inventory data. Map algebra(method 1), RK(Regression Kriging)(method 2), and GWR(Geographically Weighted Regression)(method 3) were applied to estimate forest carbon stock in Chungcheong-nam Do and Daejeon metropolitan city. The range of carbon stocks from method 2(1.39~138.80 tonC/ha) and method 3(1.28~149.98 tonC/ha) were more similar to that of previous method(1.56~156.40 tonC/ha) than that of method 1(0.00~93.37 tonC/ha). This result shows that RK and GWR considering spatial autocorrelation can show spatial heterogeneity of carbon stocks. We carried out paired t-test for carbon stock data using 186 sample points to assess estimation accuracy. As a result, the average carbon stocks of method 2 and field survey method were not significantly different at p=0.05 using paired t-test. And the result of method 2 showed the lowest RMSE. Therefore regression kriging method is useful to consider spatial variations of carbon stocks distribution in rugged terrain and complex forest stand.

• Korean Journal of Agricultural Science
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• v.6 no.2
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• pp.205-212
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• 1979

Red pepper paste were prepared by using various raw materials such as rice, glutinous rice, polished barley, polished wheat and corn powder, and their chemical compositions including reducing sugar, amino-N and ethanol were analyzed during the period of aging in order to elucidate effects of these starchy materials on the compositions and qualities of the products. The results obtained are summarized as follows: 1) Koji of these materials were manufactured respectively by inoculating a strain of Asporyzae and their activities of protease and saccharifying amylase were determined. Wheat koji was found to have the highest level of protease activity among the koji, while glutinous rice koji had the strongest amylase activity. 2) Contents of moisture, crude protein, crude fat, and sodium chloride in the red pepper pastes were not changed significantly, however total sugar content was decreased during the period of aging. 3) After 60 days of aging, the highest amount (160mg%) amino nitrogen was detected in the red pepper paste of polished wheat, but higher levels of reducing sugar and ethanol contents were detected in that of glutinous rice. 4) Amino acids in the products were analyzed after 60 days of aging: a) Total 17 amino acids were detected. b) Free amino acid ratio to total amino acid content was approximately 35 percent in average. c) Free glutamic acid was higher than any other free amino acid In the amount and free ratio, but free methionine was lower. d) Lysine content was relatively high, while histidine and glycine were detected in trace. 5) Sensory tests including color, odor and taste on the products resulted in the highest mark for the red pepper paste of glutinous rice but in the lowest mark for that of corn powder.

• Korean Journal of Agricultural Science
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• v.6 no.2
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• pp.158-165
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• 1979

These studies were carried out to investigate the freshness and bacteria of ultra high temperature processed market milks which treated and distributed in four districts: Kwangju, Daejon, Sungwhan and Seoul, and to elucidate their keeping qualities when stored in refrigerator and at room temperature. Various samples taken from the four districts were tested and the results obtained were as follows. 1. Samples from three districts retained acidities fit for standard for 9 days and those from one district for 5 days when stored at $4^{\circ}C$. However, the periods were shortened to 1 day for samples of the three districts and to same day for those of one district when stored at $20^{\circ}C$. 2. Negative results were obtained from alcohol and boiling tests upto 10 days for samples of the three districts and upto 6 to 7 days for those of one district when stored at $4^{\circ}C$. But positive results were recorded after 2 days for samples of the three districts and after 1 day for those of one district when stored at $20^{\circ}C$. 3. Total viable number of organisms did not exceed the standard limit upto 10 days for sample of one district, up to 7 days for those of two districts and upto 2 days for those of the other when stored at $4^{\circ}C$. But in case of storage at $20^{\circ}C$, samples of one district maintained viable titre below the limit for 1 day and samples of three districts for same day. 4. Initial number of psychrophilic were $4.8{\times}10^3/ml$ on an average. This titre was increased to $6.4{\times}10^7/ml$ gradually during 10 days when stored at $4^{\circ}C$, and to $5.2{\times}10^7/ml$ during 2 days. when stored at $20^{\circ}C$. 5. Number of thermoduric bacteria were below $10^2/ml$ for 10 days in samples of three districts and for 6 days in those of the other when stored at $4^{\circ}C$. However, in case of storage at $20^{\circ}C$, the titre exceeded $10^2/ml$ after 1 day in samples of three districts. 6. No coliform bacteria were detected in all samples from the four districts.

• Journal of Korean Home Economics Education Association
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• v.29 no.4
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• pp.1-14
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• 2017

This study described the status of family dining and personality of adolescents, determined the differences in family dining according to personal variables, and examined the relationship between family dining and personality in adolescence. The Data were collected from self-reported inventory of the middle and high school students in a city and 1,259 data copies were used for analyses. Data were analyzed for frequency, percentage, mean, standard deviation, Cronbach's ${\alpha}$, t-test, ANOVA, scheffe test, and multiple regression analysis using SPSS/PC 18.0 program. The results obtained were as follows. First, as for the weekly family dining frequency, more than 7 times had the most number of responses(44.2%), followed by 1~2 times(20.8%), 3~4 times(18.1%), 5~6 times(12.9%). The average scores for family dining perception and family dining attitudes were 3.75 and 3.42 on a 5-Likert scale, respectively, which means moderately high. But, family dining rules was 2.80, which means moderate. Agreeableness was the highest(3.68) among the personality components followed by Openness/intellect(3.42), Extraversion(3.33), Conscientiousness(3.14), and Emotional Stability(3.05) out of 5-point Likert scale. Second, there were statistically significant differences in family dining frequency, family dining perception, family dining rules, and family dining attitudes depending on the gender, school level, and the father's academic attainment. Third, family dining frequency, family dining perception, and family dining attitudes had statistically significant influence on the personality of adolescents after personal variables were considered. But, there was no significant relationship between family dining rules and the personality. The outcomes indicate that family dining affects the personality of adolescents. School needs to offer quality programs with various teaching methods to enhance family dining frequency, family dining perception, and family dining attitudes.

• Korean Journal of Health Education and Promotion
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• v.5 no.2
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• pp.26-40
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• 1988

This survey was conducted to find out the present status of health education program being provided in primary schools focusing its planning, operation, contents and attitude of school nurses in September, 1988. Total 413 school nurses who are presently working in Seoul city was surveyed by mail and 167 school nurses who responded to the questionnaire were finally ana lysed. The following results were obtained. 1. The general charcteristics of the school nurses′ surveyed. As for age distribution, 30-40 age group was 60.4％ the highest and the mean age was 30. 13. As for educational attainment, junior nursing college was 71.9％. 68.3％ of the surveyed was married and 43.1％ of them has 5-10 years of working experiences. As for schools where school nurses are presently working, 31.7％ has 2,000-3,000 students, 22.8％ has 50-60 classes and 5 schools have more than 80 classes. 2. Planning of a school health education School health education was planned every semester in 55.7％, which was the highest. As for utilization status of the materials for planning of a school health education as a referance, 86.8％ of the total respondants utilized the guidelines published by Seoul city School nurses′ Association, and the administrative guidelines for school health, textbooks, school health statistics and articles related to school health in order. It was tried whether the number of referances being utilized was related to the working experiences. It was found that the shorter the experiances, the more materials were utilized. It was answered that teaching plan for health education was prepared by school-nurses themselves (95.2％), and was differentiated as three levels as the first and second grades, the third and fourth grades, and the fifth and sixth grades 3. The contents of the school health education 16 subjects offered to 6 grades of students were surveyed as follows. As for fifth and sixth grades, contents on growth and development was most widely provided as 54.5％, and 68.9％, respectively. And the next to this subject, dental health education was also frequently offered to the second, third and fourth grades as 50.9％, 68.9％, and 47.3％, respctively. 4. The operation of school health education Health education provided by school nurses was conducted formallu in 36.6％, and formally of informally accordin to grades in 43.9％. It was answered that 50.3％ of the surveyed school had started health education from 1987, when the plan for activation of school health was ordered from. Educational Committee. Teaching hours of school nurses was 6 in 32.9％, which was the highest. The lesson was provided for class unit in 77.2％, and sex education was sometimes offered to male and female students separately. As for support of health personnels out of school for health education, 79.0％ did not receive any support. If there were any aids out of school, 62.9％ received them from other related agencies and 74.3％ anwered that it was once in a semester. As for expenses for health education, 57.3％ did not input any expenses alloted to school health program as a whole. As audio-visual materials, slides were utulized most frequently and models, and charts in order. 5. Awareness of school nurses on the operation of school health education School nurses evaluated their educational quality as a health educator subjectively, 60-70％ of them answered to be average in 4 domains such as knowledge, educational skill, ability to prepare teaching plan, and cooperation. As for the awareness on the support and cooperation of the higher institutions, 46.4％ -61.8％ answered that "so and so" toward Ministry of Education and Ministry of Affairs, and 13-37％ "not supportive" Teachers of the corresponding schools were answered to be "so and so" in 55.9％-56.7％, and "very supportive" in 33.34％. There was a significant difference in formality of the lesson according to the support of the superintendent.