• Journal of the korean academy of Pediatric Dentistry
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• v.30 no.4
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• pp.728-737
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• 2003

To evaluate microbial data and salivary measurements from clinically compatible, culture-based screening procedures employed with children younger than 36 months old. Plaque and stimulated saliva specimens were collected from 87 children. The pH of each saliva sample was measured before and after 0.94% lactic acid was added. Specimens were diluted and plated on selective media and non-selective media. Data collected were counts of mutans streptococci (MS) and lactobacilli (LB). In addition, total viable counts (TVC) of specimens, salivary pH and buffering capacity were also assessed. Each variable was compared to caries status of subjects. According to this study, the results were as followed: 1. Highly significant correlation with caries rates were found for counts of MS and LB. 2. The specific counts/ml saliva or plaque above which caries is predicted, or below which caries is not predicted were as follows: 1) Saliva MS; $10^5$ 2) Plaque MS; $2{\times}10^5$ 3) Saliva LB; $10^3$ 4) Plaque LB; $10^3$. 3. Salivary pH and buffering capacity versus caries status were not significant. 4. Microbial screening methods based on mutans streptococci had higher predictive values and odds ratios than methods for lactobacilli. 5. MS counts were clearly the best indicators of caries status in young children. This measurement can easily be obtained in a dental clinical setting both by conventional culture techniques, or commercial kits for MS recovery.

• Journal of The Korean Society of Agricultural Engineers
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• v.55 no.3
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• pp.105-111
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• 2013

Probability distribution of microbes in wastewater is a crucial factor to be determined for microbial risk assessment associated with its reuse. The objective of this study was to investigate probability distribution of an indicator microorganism in wastewater. Daily total coliform counts measured from nationwide wastewater treatment plants in 2010 by the Ministry of Environment were used for statistical analysis. Basic statistics and probability distributions were estimated in the three different spatial scales using the MS Excel software and FARD2006 model. Overall, wastewater from manure and livestock treatment plants demonstrated greater median coliform counts than from sewage and village treatment plants. Generalized logistic (GLO) and 2-parameter Weibull (WBU2) appeared to be the two probability distributions that fitted best for total coliform numbers in wastewater. The study results of microbial statistics and probability distributions would provide useful data for quantitative assessment of microbial risk from agricultural wastewater reuse.

• Journal of IKEEE
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• v.26 no.4
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• pp.622-627
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• 2022

This paper proposes an intrusion detection system for in-vehicle network to improve detection performance considering attack counts and attack types. In intrusion detection system, both FNR (False Negative Rate), where intrusion frame is misjudged as normal frame, and FPR (False Positive Rate), where normal frame is misjudged as intrusion frame, seriously affect vechicle safety. This paper proposes a novel intrusion detection algorithm to improve both FNR and FPR, where data frame previously detected as intrusion above certain attack counts is automatically detected as intrusion and the automatic intrusion detection method is adaptively applied according to attack types. From the simulation results, the propsoed method effectively improve both FNR and FPR in DoS(Denial of Service) attack and spoofing attack.

• Journal of Korean Society of Transportation
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• v.25 no.1 s.94
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• pp.121-132
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• 2007

Up to now Permanent traffic volumes have been counted by Automatic Vehicle Classification (AVC) on National Highways. When counted data have missing items or errors, the data must be revised to stay statistically reliable This study was carried out to estimate correct data based on outoregression and seasonal AutoRegressive Integrated Moving Average (ARIMA). As a result of verification through seasonal ARIMA, the longer the missed period is, the greater the error. Autoregression results in better verification results than seasonal ARIMA. Traffic data is affected by the present state mote than past patterns. However. autoregression can be applied only to the cases where data include similar neighborhood patterns and even in this case. the data cannot be corrected when data are missing due to low qualify or errors Therefore, these data shoo)d be corrected using past patterns and seasonal ARIMA when the missing data occurs in short periods.

• Communications for Statistical Applications and Methods
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• v.8 no.1
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• pp.117-126
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• 2001

We provide a simple chi-squared test of multivariate normality based on rectangular cells on the spherical data. This test is simple since it is a direct extension of the univariate chi-squared test to multivariate case and the expected cell counts are easily computed. We derive the limiting distribution of the chi-squared statistic via the conditional limit theorems. We study the accuracy in finite samples of the limiting distribution and then compare the poser of our test with those of other popular tests in an application to a real data.

• The Korean Journal of Applied Statistics
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• v.31 no.2
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• pp.229-239
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• 2018

This paper introduces how to adopt the concept of temporal hierarchies to forecast time series data. Similarly as in hierarchical cross-sectional data, temporal hierarchies can be constructed for any time series data by means of non-overlapping temporal aggregation. Reconciliation forecasts with temporal hierarchies result in more accurate and robust forecasts when compared with the independent base and bottom-up forecasts. As an empirical example, we forecast traffic accident counts with temporal hierarchies and observe that reconciliation forecasts are superior to the base and bottom-up forecasts in terms of forecast accuracy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.691-702
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• 2013

In this study the quantitative outlier-filtering algorithm has been developed using the smoothing method based on the day-of-the-week traffic volume variation pattern and then, in order to test the effectiveness of the algorithm, it has been used to identify outliers from the traffic volume data collected at 14 continuous traffic counts sites on the national highways in the year 2010. The test results are satisfactory since the filtering rate is 98.2% for normal days and the mis-filtering rate is 8.0% for abnormal days. Therefore, the algorithm will be able to be used for roughly-but-quickly filtering outliers from the collected traffic volume data.

• Childhood Kidney Diseases
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• v.19 no.2
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• pp.159-166
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• 2015

Purpose: The aim of the present study was to investigate the risk factors for the development of coronary artery lesions (CALs) and to determine whether hyponatremia is associated with CALs in children with Kawasaki disease (KD). Methods: We retrospectively analyzed the data of 105 children with KD who were admitted to Ilsan Hospital between January 2000 and July 2011. Results: Erythrocyte sedimentation rate (P = 0.013), total bilirubin levels (P = 0.017) were higher and serum sodium levels (P = 0.027) were lower in KD children with CALs than those without. White blood cell (WBC) counts (P = 0.006), neutrophil counts (P = 0.003) were higher and albumin levels (P = 0.009) were lower in KD children with hyponatremia than those without. On multiple logistic regression analysis, hyponatremia (P = 0.024) and intravenous immunoglobulin-resistance (P = 0.024) were independent risk factors for CALs in KD. Furthermore, serum sodium levels were correlated negatively with WBC counts (P = 0.004), neutrophil counts (P < 0.001), total bilirubin levels (P = 0.005) and positively with albumin levels (P = 0.009). Conclusion: Our study indicates that hyponatremia may reflect severe inflammation in children with KD.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5305-5310
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• 2015

Purpose: The aim of this study was to investigate the association between preoperative leukocyte and platelet counts and the stage of the disease in patients with endometrial cancer. Materials and Methods: Data for 100 patients undergoing total abdominal hysterectomy and bilateral salpingoophorectomy for benign uterine diseases and 177 patients surgically staged for endometrial cancer at Ondokuz Mayis University, Department of Gynecology and Obstetrics between 2005 and 2013, with preoperative complete blood count in the week prior to surgery including WBC, platelet count, pathologic evaluation for both benign and malign endometrium lesions, tumor stage and presence of lymphovascular space invasion (LVI), were retrospectively analyzed. Results: The preoperative leukocyte count was significantly higher in patients with endometrial cancer when compared to the patients with benign diseases. However, there were no significant differences in platelet counts between the groups. Patients with advanced stage endometrial cancer had higher preoperative leukocyte counts when compared to the early stage disease whereas there was no difference in platelet count. Multivariate regression analysis identified preoperative leukocytosis as an independent prognostic factor for endometrial cancer. The optimal cut-off point for WBC was calculated as 10,500 to differentiate stage 1-2-3 and 4 with 88.9% sensitivity and 86.3% specificity (AUC: 0.901, 95% CI: 0.829-0.973, p<0.001, PPV: 25.8%, NPV: 99.3%). Conclusions: Preoperative leukocytosis is independently associated with advanced endometrial cancer.

• Korean journal of food and cookery science
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• v.23 no.2 s.98
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• pp.261-269
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• 2007

This study was performed to provide basic data for the sous vide cook-chill(SVCC) System by comparing and evaluating food quality, according to preparation method and days of storage, of foods that were prepared by SVCC to those prepared using the cook-chill(CC) System. Boiled quail eggs and fish paste in soy sauce were prepared using CC and SVCC and their quality was evaluated at the time of preparation and by days of storage. Viable cell counts were increased to 5.65(CC) and 3.40(SVCC) LogCFU/g by 15 days(p<.0001) and increased more over time in foods prepared with CC than with SVCC. For the CC method, Coliform counts increased to 4.58 LogCFU/g by 15 days(p<.0001). With SVCC, colirorms were not detected at 0 days, but counts reached 3.70 LogCFU/g by 15 days(p<.0001). After reheating, no coliforms were detected for CC or SVCC at 0 days, however, by 15 days, coliform counts reached 3.61 and 2.52 LogCFU/g(p<.0001) for CC and SVCC, respectively. Finally, the sensory scores of SVCC were higher than those of CC.