• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.205-212
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• 2012

The national highway traffic counts system consists of short duration counts and continuous counts. Unlike continuous counts, short duration counts are performed by collection of a few days period and thus, the magnitude of deviation of collected data from AADT varies depending upon when data collection takes place. Therefore, this study was done to find out the best months and days of data collection of each highway classification in order to enhance the accuracy of AADT estimation. Continuous counts, another type of the national traffic counts system, are performed by collection of 365-day period using a permanent traffic counter. Therefore, it is necessary to keep the number of days for which the counter malfunctions to a minimum in order to enhance the accuracy of data. However, from time to time the permanent traffic counter malfunctions due to various causes and thus, cannot collect data. Therefore, this study was done to find out whether the age of counter, the ratio of heavy vehicle volume to total traffic volume, etc. could be the direct causes of counter's malfunction based on the number of maintenance for a certain time period.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.2
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• pp.10-20
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• 2012

This study shows how to estimate AADT(Annual Average Daily Traffic) on temporary count data using new grouping method. This study deals with clustering permanent traffic counts using monthly adjustment factor, daily adjustment factor and a percentage of hourly volume. This study uses a percentage of hourly volume comparing with other studies. Cluster analysis is used and 5 groups is suitable. First, make average of monthly adjustment factor, average of daily adjustment factor, a percentage of hourly volume for each group. Next estimate AADT using 24 hour volume(not holiday) and two adjustment factors. Goodness of fit test is used to find what groups are applicable. MAPE(Mean Absolute Percentage Error) is 8.7% in this method. It is under 1.5% comparing with other method(using adjustment factors in same section). This method is better than other studies because it can apply all temporary counts data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.155-162
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• 2008

This study shows how to estimate the design hour factor when the counting stations don't have all of the hourly volumes such as in a coverage survey. A coverage survey records traffic volume from 1 to 5 times in a year so it lacks the detailed information to calculate the design hour factor. This study used the traffic volumes of permanent surveys to estimate the design hour factor in coverage surveys using correlation and regression analysis. A total 7 independent variables are used : the coefficient of variance of hourly volume, standard deviation of hourly volume, peak hour volume, AADT, heavy traffic volume proprotion, day time traffic volume proportion and D factor. All of variables are plotted on a curve, so it must use non-linear regression to analyze the data. As a result the coefficient of determination and MAE are good at logarith model using AADT.

• Microbiology and Biotechnology Letters
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• v.8 no.2
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• pp.103-111
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• 1980

This studies were conducted to make vinegar from the physiologcical fallen persinmon during the ripening fruit. The main components of the persimmon mere investigated for the several focal valieties, Some microke acted on the fermentation of persimmon was isolated. The obtained results were as follows : 1) The hardness of fruit was the hithest for Jangjunsi (long persimmon) The hardness of Bansi and Soosi valieties was decreased vary fast after five or six weeks. 2) The total amount of pectin was increased a little in order of Jangjunsi, Bansi and Soosi. The amount of soluble pectin was increased considerably in order of Soosi, Bansi and Jangjunsi. 3) The amount of total sugar and reducing sugar were increased in order of Bansi, Jangjunsi and Soosi. After five or six weeks the amount of reducing sugar of Soosi and Bansi was increased much. The amount of starch was decreased in order of Bansi, Jangjunsi and Soosi, to trace amounts without significent differences. 4) The amount of Soluble tannin was decreased in order of Bansi, Jangjunsi and Soosi. 5) Main microbes on the fermentation of persimmon vinegar were identified as follows: yeast was proved to be Saccharomyces rouxii, CBS 726, and Acetobacters were Gluconobacter oxydans subsp. suboxydans, Gluconobacter oxyaans subsp, osydans, Acetobaeter pasteurians subsp. xylinum 6) During the fermentation, process of persimmon vinegar the amount of reducing sugar and alcohol were decresed, but that of acidity was increased.

• Journal of Bio-Environment Control
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• v.9 no.1
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• pp.27-39
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• 2000

In this study, we quantitatively compare the cooling effects of single span plastic greenhouses by opening or shutting of toot and side vents, and operation of fan or sprinkler. With those variables, we simultaneously made experiments at 4 greenhouses under equivalent conditions. By the experiments, the shutting of roof and side vents caused the high temperature difference of indoor and outdoor which the crops cannot be cultivated. However, the opening of the windows effectively reduced the indoor temperature and showed uniform temperature distribution in the greenhouses. The sprinkler abruptly reduced the indoor temperature, and showed excellent cooling effects. Finally, this paper provides the fundamental data for environmental control in greenhouses.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.107-118
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• 2021

One of the debates regarding the college admission systems is about which admissions screening works as a mechanism for social mobility, between early and regular admissions. This study attempted to contribute to related discussions by analyzing the income level of college admissions students according to the admissions screening (early vs. regular admissions) using data from the third year survey of the Korean Education & Employment Panel II (KEEP II). Analyzing the dataset, we found that parental income was almost the same between students admitted from early and regular admissions. To be specific, average monthly parental income was 586.4 million Korean Won for students admitted from early admission while it was 585.4 million Korean Won for those admitted from regular admission, which means that the difference between the two was neither practically nor statistically significant. Applying the chi-square test, we tested whether the relationship between parental income and types of college admissions and found no statistical significance. Finally, categorizing colleges where students are admitted by ranking, we compared parental incomes among students. We found that parental income was higher for top-ranked universities, and that parental income was higher for students admitted from early admission. We concluded that early admission can possibly be an admission system for "well-offs" between the two, and that early admission may not be working as a pathway to facilitate social mobility compared to the regular admissions.

• 한국도로학회:학술대회논문집
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• 2004.10a
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• pp.355-362
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• 2004

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.89-94
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• 2019

This study will examine the awareness of students in radiology who have applied the reorganization of the safety management system of frequent visitors according to the amendment of the Nuclear Safety Act. A survey was conducted on 175 students from the Department of Radiology at K University. 98.1% of the students in the second grade, 90.3% in the third grade, and 97.7% in the fourth grade were recognized as need to be classified as person with frequent access by the Nuclear Safety Act. Limiting the operation of radiation equipment in radiography practice is a regulation that violates students' right to learn, and it is necessary to enact an exception rule for learning so that the right to study is not violated.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.3
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• pp.29-37
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• 2008

In this parer, we purpose for applying the RFID(Radio Frequency IDentification) system in National Road Traffic Volume Survey. Because there is limitation for shipping RFID Tag on every car, we firstly defined Expansion (process of making the number of all cars which passed survey point from sampling data) and determined the best methodology among 3 methodologies (Time factor Model, Fuzzy Model, Artificial Neural Network). As a result of analysis, Time Factor Model was chosen as the best methodology for Expansion. Also, we analyzed to find an application of the RFID system in National Road Traffic Volume Survey and obtained a possibility applying it. It is expected that if the RFID system is used in Traffic Volume Survey, the survey cost is saved than before.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.2009-2019
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• 2013

Traffic volumes are the important basic data which are directly used for transportation network planning, highway design, highway management and so forth. They are collected by two types of collection methods, one of which is the continuous traffic counts and the other is the short duration traffic counts. The continuous traffic counts are conducted for 365 days a year using the permanent traffic counter and the short duration traffic counts are conducted for specific day(s). In case of the continuous traffic counts the missing of data occurs due to breakdown or malfunction of the counter from time to time. Thus, the diverse imputation methods have been developed and applied so far. In this study the applied exponential smoothing method, in which the data from the days before and after the missing day are used, is proposed and compared with other imputation methods. The comparison shows that the applied exponential smoothing method enhances the accuracy of imputation when the coefficient of traffic volume variation is low. In addition, it is verified that the variation of traffic volume at the site is an important factor for the accuracy of imputation. Therefore, it is necessary to apply different imputation methods depending upon site and time to raise the reliability of imputation for missing traffic values.