• Journal of Oral Medicine and Pain
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• v.24 no.1
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• pp.95-106
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• 1999

This study was performed to investigate the age distribution with tooth calcification and degree of eruption of permanent teeth. For the study, healthy 184 patients from 5 to 19 years old without any previous serious dental treatment were randomly selected, and intraoral standard films and dental casts were taken for evaluation of stage of calcification and degree of eruption, respectively. Tooth calcification of 13 stages, designed by the author based on the Nolla's classification and eruption level of 4 or 5 degree was used. Data were processed by SAS/Stat program and the obtained results were as follows; 1. The age of root completed with open apex in lower posterior teeth were 13.8 years for first premolar, 14.0 years for second premolar, 10.5 years for first molar, and 14.2 years for second molar. There were no significant difference between right and left side. 2. As for the sequence of eruption, first molar was the first teeth erupted in upper arch, while central incisor was the first teeth in lower arch. In general, eruption of lower teeth were slightly earlier than the corresponding teeth of upper arch. 3. There were no difference of age of the same stage of development between Nolla's and the author's classification. From the results, the author's classification can be used for estimation of age with more finely in age of 8 to 15 years old. 4. Multiple regression equations for age with Nolla's(Ns) and the author's(Ks) classification of tooth calcification, and degree of eruption(DE) were as follow; Age(by #34) = 7.55 + 0.76Ks34 + 0.80DE34 - 0.72Ns34 Age(by #35) = 7.10 + 0.81Ks35 + 0.6IDE35 Age(by #37) = 6.61 + 0.82Ks37 + 0.5IDE37. Age(by #44) = 7.02 + 0.62Ks44 + 0.82DE44 Age(by #45) = 8.04 + 0.93Ks45 + 0.64DE45 - 0.89Ns45 Age(by #47) = 6.40 + 0.86Ks47 + 0.56DE47.

• Imaging Science in Dentistry
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• v.46 no.1
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• pp.1-7
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• 2016

Purpose: This study assessed the accuracy of age estimates produced by a regression equation derived from lower third molar development in a Thai population. Materials and Methods: The first part of this study relied on measurements taken from panoramic radiographs of 614 Thai patients aged from 9 to 20. The stage of lower left and right third molar development was observed in each radiograph and a modified Gat score was assigned. Linear regression on this data produced the following equation: Y=9.309+1.673 mG+0.303S (Y=age; mG=modified Gat score; S=sex). In the second part of this study, the predictive accuracy of this equation was evaluated using data from a second set of panoramic radiographs (539 Thai subjects, 9 to 24 years old). Each subject's age was estimated using the above equation and compared against age calculated from a provided date of birth. Estimated and known age data were analyzed using the Pearson correlation coefficient and descriptive statistics. Results: Ages estimated from lower left and lower right third molar development stage were significantly correlated with the known ages (r=0.818, 0.808, respectively, $P{\leq}0.01$). 50% of age estimates in the second part of the study fell within a range of error of ${\pm}1year$, while 75% fell within a range of error of ${\pm}2years$. The study found that the equation tends to estimate age accurately when individuals are 9 to 20 years of age. Conclusion: The equation can be used for age estimation for Thai populations when the individuals are 9 to 20 years of age.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.5
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• pp.575-579
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• 2000

First lactation records of 683 Murrah buffaloes maintained at NDRI, Karnal which were progeny of 84 sires used for comparing the heritability estimates of age at first calving, first lactation milk yield and first service period under single and multiple trait models using restricted maximum likelihood (REML) method of estimation under an individual animal model. The results indicated that the heritability estimates may vary under single and multiple trait models depending upon the magnitude of genetic and environmental correlation among the traits being considered. Therefore, a single or multiple trait model is recommended for estimation of variance components depending upon the goal of breeding programme. However, there may not be any advantage of considering a trait with zero or near zero heritability and having no or very low genetic correlation with other traits in the model. Lower heritability estimates of part lactation yield (120-day milk yield) implied that there may not be any advantage of considering this trait in place of actual 305-day milk yield, whereas, comparable heritability estimates of predicted 305-day milk yield suggested that it could be used for sire evaluation to reduce the cost of milk recording under field conditions.

• Korean Journal of Organic Agriculture
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• v.31 no.4
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• pp.343-355
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• 2023

Dairy processing experience tourism, that combines production, processing, and services, can be a good alternative to increase added value in Mongolian livestock industry. In addition, in order to successfully pursue this, it is necessary to first identify consumers' potential demand for the experience tourism and the factors affecting demand. Accordingly, this study estimated consumers' potential demand for dairy processing experience tourism using data from 758 people obtained through an online survey targeting Ulaanbaatar residents. As a result of the estimation, it was found that the variables that affect potential demand are the experience fees, average monthly household income, gender, age, arol consumption, and education level. The potential demand for dairy processing experience tourism was measured by multiplying the population of Ulaanbaatar by the estimated probability of accepting the experience tourism, and the total revenue was maximum at 32.303 million Tuk when the experience fee was 50,000 Tuk. The implications based on the analysis results are that, in order to promote participation in the experience tourism, it is necessary to promote it primarily to people with high average monthly household income, high level of education, younger age groups, and male. It can be said that preference is high and sufficient potential demand exists, but it is suggested that appropriate setting of experience fees is important.

• Journal of Korean Society for Atmospheric Environment
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• v.30 no.6
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• pp.555-568
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• 2014

The construction equipment is one of the major sources for hazardous air pollutants in Korea, and the its management has been of great concern recently. The objective of this study was to estimate each contribution of emission of construction equipments according to their production year, electric power consumption and type. To achieve this goal, we developed pollutant emission factors for the machineries manufactured after 2009, which are excluded from the present framework of Korean air pollutants inventory, CAPSS. More than 800 data obtained from emission investigations were utilized for the estimation. Compared with the previous estimation, the scheme used this study was modified to incorporate new emission factors as well as to include the corresponding activity data. Such improvement allow us to gain more detailed emission informations which are better characterized by specifications of construction equipments. The total amount of pollutants emitted from construction equipments in 2011 were estimated as 126.8, 7.0, 58.3, and 17.0 kton for $NO_x$, PM, CO, and VOC, respectively. The estimation results indicate that the increase in the emission of equipments is significantly related to their age and power consumption. The emissions of the older ones manufactured from 1992~1996 were estimated to be the contribution ranged from 23.7% to 26.8%, whereas the newer ones (2009~2011) showed the attributions of 11.3~21.5%. In addition, the results show that the emission of each equipment was increased with the increase in the electric power consumption of engine, probably due to their average output power. Among the nine types of machinery compared, excavators and forklifts were investigated to contribute relatively higher emissions in the level of 39.8~44.0% and 32.0~34.2%, respectively.

• Journal of the Korea institute for structural maintenance and inspection
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• v.9 no.4
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• pp.217-226
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• 2005

This study made member specimen for taking specimen, core with the concrete mixing normal concrete, admixture and conducted the same air curing as field conditions. After performing destructive and nondestructive test by age, estimate expression was suggested by analyzing correlations between compressive strength, rebound number and ultrasonic pulse velocity and the results are as follows. As a result of comparing error rate of existing expressions and this estimation expression, error rate of this estimation is reduced compared to existing expressions and has higher reliability. When conventional concrete expression is applied to admixture concrete, error rate occurs and then this study suggests the estimation expressions depending on types of admixture concrete.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.1033-1042
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• 2003

In this study, the economic population prediction by computer simulation has been studied by using statistical model. The forecast of future population based on that of the past is a very difficult problem as uncertain conditions are modeled in it. Even if a thought forecast is possible, world-wide cultures and the local culture emotion the cultures of the world and out country can not be predicted due to rapid change and the estimation of population is ‘nowadays more and more’ difficult to be made good guess. In the estimation of economic population, by using the census population from 1960 to 1990, and using ARIMA model developed by Box and Jenkins, the estimation has been done on the economic population until 2021 according to age as appeared table and appendix. This kind of forecast would have both good point and weak point of ARIMA model theory saying that prediction can be done only by the economic population.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.3
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• pp.1071-1092
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• 2014

Annotating images with tags that describe the content of the images facilitates image retrieval. However, this task is challenging for both humans and computers. In response, a new approach has been proposed that converts the manual image annotation task into CAPTCHA challenges. However, this approach has not been widely used because of its weak security and the fact that it can be applied only to annotate for a specific type of attribute clearly separated into mutually exclusive categories (e.g., gender). In this paper, we propose a novel image annotation CAPTCHA scheme, which can successfully differentiate between humans and computers, annotate image content difficult to separate into mutually exclusive categories, and generate verified test images difficult for computers to identify but easy for humans. To test its feasibility, we applied our scheme to annotate images of human faces with their age groups and conducted user studies. The results showed that our proposed system, called AgeCAPTCHA, annotated images of human faces with high reliability, yet the process was completed by the subjects quickly and accurately enough for practical use. As a result, we have not only verified the effectiveness of our scheme but also increased the applicability of image annotation CAPTCHAs.

• Korean Journal of Human Ecology
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• v.11 no.1
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• pp.31-43
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• 2002

The purpose of this study was to examine the financial status of the small business households, and to analyze their investment behaviors according to socio-economic variables like age, income, education, job satisfaction, and region. The size of total sample was 2167 with basis of data analysis of Korean Household Panel Study from Daewoo Economic Research Center. Descriptive Statistics were used to analyze their financial status according to the socio-economic variables. The results showed that small business family's financial status was differentiated according to age, income, job satisfaction, and region. Households' investment on the primary financial institute such as bank was differentiated by income, level of education, and job satisfaction. The amount of investment on secondary financial institute such as mutual fund was differentiated by income, age, and region. The households' investment for insurance was affected by all socio-economic variables except region and not significantly different according to socio-economic variables for stock and bonds. The amount of net-asset for households was affected by the level of education, age, and income and the amount of debt most by age and income. The results of this study was useful to develop the estimation tool for the small business households credit and also provides the basic informations for the financial assistance of those households.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.3
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• pp.249-259
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• 2008

Purpose: This study was performed to identify the patient characteristics significantly affecting nursing outcomes and their predictability in gastrointestinal surgery patients. Method: The subjects were 149 abdominal surgery patients from 3 general surgical nursing units of 3 general hospitals. Two instruments were used to measure nursing outcomes and acuity of the subjects. The nursing outcomes were measured at post-operation 4 and 7days using review of patients' records, observation of patients, and interviews with patients by a trained nurse. For data analysis, T-test or ANOVA, Pearson Correlation and Stepwise Multiple Regression were done. Result: Age, severity score, diagnosis, cancer or not, operation site were the subjects' characteristics that were significantly related to the nursing outcomes in both post-operation 4 and 7days. Cancer or not, age, diagnosis and severity score were the significant predictors for the scores of nursing outcome in post-operation 4days and the predictability was 34.9%. The predictability of cancer or not was highest, 22.6%. Age, diagnosis and cancer or not were the significant predictors for the scores of nursing outcome in post-operation 7days and the predictability was 27.8%. The predictability of age was highest, 17.3%. Conclusions: The patient characteristics affecting nursing outcomes should be considered when nursing care is planned and provided. Especially, careful attention should be given to the patients with cancer and older age. And, these patient characteristics should be adjusted for correct estimation of the effectiveness of nursing interventions on nursing outcomes.