• 한국통신학회논문지
• /
• 제33권8B호
• /
• pp.667-680
• /
• 2008

본 논문에서는 802.11 무선 랜 네트워크 트래픽의 실제 관측 자료에 대한 연구 결과를 보인다. 패킷 트레이스는 대학 캠퍼스의 무선 랜 시설에서 얻은 자료로서 총합된 트래픽(aggregate traffic), 업스트림 트래픽(upstream traffic), 다운스트림 트래픽(downstream traffic), 그리고 TCP 패킷으로만 구성된 통합된 트래픽으로 이 4개의 트래픽 데이터를 수집하였다. 수집한 데이터에서 byte count 프로세스와 packet count 프로세스로 구성된 트래픽의 시계열과 시계열의 주변분포, 그리고 패킷 크기 분포에 대한 분석을 한다. 4개의 모든 데이터의 byte count 프로세스와 packet count 프로세스에서 장기 의존성 성질이 나타났다. 사용자가 인터넷으로 접속하는 없트�� 트래픽의 평균 패킷 크기는 151.7 byte였는데 다른 데이터의 평균 패킷 크기는 모드 260 byte 이상이었다. 최대 크기를 갖는 패이로드(payload)는 업스트림에서 3%, 그리고 나온트림에서 10%로 나타났다. 이런 분명한 패킷 크기 분포의 차이에도 불구하고 모든 4개의 데이터에서는 허스트(Hurst) 값이 모두 유사하게 나왔다. 허스트 값만으로는 트래픽의 확률적 특성을 충분히 설명할 수가 없다. 트래픽의 특성을 fractional-ARIMA(FARINA) 그리고 fractional Gaussian noise(FGN)으로 모델링을 한다. FGN은 연산을 하는데 있어서는 더 효율적이었고, FARINA는 트래픽 특성을 정확하게 모델링하는데 더 좋은 결과를 얻었다.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2008년도 추계학술대회 논문집
• /
• pp.1178-1187
• /
• 2008

According to the operation data between $2007{\sim}2008$(January$\sim$June) for essential safety equipment including ATC, there were nothing special but stable and steady. And also emergency stop number of count are decreasing. But the frequency are still above the resonable count and it means driving condition should be improved through interface between ground and locomotive same as come to an understanding with driver. The number of count of emergency stop for VACMA(vigilance system) are also decreasing but also the frequency are above resonable count. This phenomenon caused by careless driving for the driver or the system malfunction. So the continuous monitoring for the data is necessary.

• Communications for Statistical Applications and Methods
• /
• 제26권3호
• /
• pp.295-304
• /
• 2019

This article deals with threshold-asymmetric volatility models for over-dispersed and zero-inflated time series of count data. We introduce various threshold integer-valued autoregressive conditional heteroscedasticity (ARCH) models as incorporating over-dispersion and zero-inflation via conditional Poisson and negative binomial distributions. EM-algorithm is used to estimate parameters. The cholera data from Kolkata in India from 2006 to 2011 is analyzed as a real application. In order to construct the threshold-variable, both local constant mean which is time-varying and grand mean are adopted. It is noted via a data application that threshold model as an asymmetric version is useful in modelling count time series volatility.

• 한국축산식품학회지
• /
• 제44권2호
• /
• pp.372-389
• /
• 2024

This study investigated the efficacy of ultraviolet-C (UV-C) irradiation in enhancing the quality of raw bovine milk by targeting microbial populations and lipid peroxidation, both of which are key factors in milk spoilage. We categorized the raw milk samples into three groups based on initial bacterial load: low (<3 Log 10 CFU/mL), medium (3-4 Log 10 CFU/mL), and high (>4 Log 10 CFU/mL). Using a 144 W thin-film UV-C reactor, we treated the milk with a flow rate of 3 L/min. We measured the bacterial count including standard plate count, coliform count, coagulase-negative staphylococci count, and lactic acid bacteria count and lipid peroxidation (via thiobarbituric acid reactive substances assay) pre- and post-treatment. Our results show that UV-C treatment significantly reduced bacterial counts, with the most notable reductions observed in high and medium initial load samples (>4 and 3-4 Log 10 CFU/mL, respectively). The treatment was particularly effective against coliforms, showing higher reduction efficiency compared to coagulase-negative staphylococci and lactic acid bacteria. Notably, lipid peroxidation in UV-C treated milk was significantly lower than in pasteurized or untreated milk, even after 72 hours. These findings demonstrate the potential of UV-C irradiation as a pre-treatment method for raw milk, offering substantial reduction in microbial content and prevention of lipid peroxidation, thereby enhancing milk quality.

• Communications for Statistical Applications and Methods
• /
• 제26권3호
• /
• pp.325-336
• /
• 2019

In this article we extend the discrete Weibull regression model in the presence of missing data. Discrete Weibull regression models can be adapted to various type of dispersion data however, it is not widely used. Recently Yoo (Journal of the Korean Data and Information Science Society, 30, 11-22, 2019) adapted the discrete Weibull regression model using single imputation. We extend their studies by using multiple imputation also with several various settings and compare the results. The purpose of this study is to address the merit of using multiple imputation in the presence of missing data in discrete count data. We analyzed the seventh Korean National Health and Nutrition Examination Survey (KNHANES VII), from 2016 to assess the factors influencing the variable, 1 month hospital stay, and we compared the results using discrete Weibull regression model with those of Poisson, negative Binomial and zero-inflated Poisson regression models, which are widely used in count data analyses. The results showed that the discrete Weibull regression model using multiple imputation provided the best fit. We also performed simulation studies to show the accuracy of the discrete Weibull regression using multiple imputation given both under- and over-dispersed distribution, as well as varying missing rates and sample size. Sensitivity analysis showed the influence of mis-specification and the robustness of the discrete Weibull model. Using imputation with discrete Weibull regression to analyze discrete data will increase explanatory power and is widely applicable to various types of dispersion data with a unified model.

• 응용통계연구
• /
• 제27권6호
• /
• pp.923-932
• /
• 2014

허들모형은 영이 과잉 가산자료를 분석하기 위해서 사용되어 왔다. 이 모형은 이산부분을 위한 로짓모형과 절삭된 가산부분을 위한 절삭된 포아송모형의 혼합모형이다. 이 논문에서 우리는 경시적 영과잉 가산자료를 분석하기 위해서 수정된 콜레스키 분해을 이용하여 일반적인 이분산성을 가지는 변량효과 공분산행렬을 제안한다. 수정된 콜레스키 분해는 변량효과 공분산행렬을 일반화자기상관 모수와 혁신분산모수로 분리되면, 이러한 모수들은 베이지안 일반화 선형모형을 통해 추정된다. 그리고 실제 자료분석을 통하여 설명한다.

• 한국도로학회논문집
• /
• 제17권4호
• /
• pp.135-141
• /
• 2015

PURPOSES: This study has been conducted to determine a homogeneous segment and integration to improve the efficiency of short-term traffic count. We have also attempted to reduce the traffic monitoring budget. METHODS: Based on the statistical approach, a homogeneous segment in the same road section is determined. Statistical analysis using t-test, mean difference, and correlation coefficient are carried out for 10-year-long (2004-2013) short-term count traffic data and the MAPE of fresh data (2014) are evaluated. The correlation coefficient represents a trend in traffic count, while the mean difference and t-score represent an average traffic count. RESULTS : The statistical analysis suggests that the number of target segments varies with the criteria. The correlation coefficient of more than 30% of the adjacent segment is higher than 0.8. A mean difference of 36.2% and t-score of 19.5% for adjacent segments are below 20% and 2.8, respectively. According to the effectiveness analysis, the integration criteria of the mean difference have a higher effect as compared to the t-score criteria. Thus, the mean difference represents a traffic volume similarity. CONCLUSIONS : The integration of 47 road segments from 882 adjacent road segments indicate 8.87% of MAPE, which is within an acceptable range. It can reduce the traffic monitoring budget and increase the count to improve an accuracy of traffic volume estimation.

• 기본간호학회지
• /
• 제11권1호
• /
• pp.41-48
• /
• 2004

Purpose: The purpose of this study was to analyze the colony count of airborne microbes contamination every hour in the Neurosurgical Intensive Care Unit (NSICU) in order to identify the relationship of colony count to person-visits. Method: Data were collected during from 11:00 a.m. September 5 to 11:00 a.m. September 6, 2002. This study used blood agar & nutrient agar and handtally counter (USA) for collection of airborne microbes and number of person-visits. Data was analyzed using the SPSSWIN 10.0 with means, Pearson correlation coefficient, and simple regression. Result: The result of this study are as follows. Total colony count of airborne microbes for 24 hours in the NSICU was 4,609. Total number of person-visits to the NSICU was 15,347. The highest scores fur the total colony count in different areas of the NSICU was the rear door, followed by the preparation room, and the front entrance, while the lowest count was in the isolation rooms. There was a statistically significant relationship between colony count and number of person-visits to the NSICU. The most frequently airborne microbes in the NSICU were Micrococcus, CNS, Staphylococcus Micrococcus, Aureus. Conclusion: These findings indicate that the number of person-visits in hospitals influences total colony count of airborne microbes. This study contributes to assessment of biological indoor air quality in hospital and in the development of an NSICU care plan.

• Food Science and Biotechnology
• /
• 제17권6호
• /
• pp.1352-1356
• /
• 2008

Bootstrap method, a computer-intensive statistical technique to estimate the distribution of a statistic was applied to deal with uncertainty and variability of the experimental data in stochastic prediction modeling of microbial growth on a chill-stored food. Three different bootstrapping methods for the curve-fitting to the microbial count data were compared in determining the parameters of Baranyi and Roberts growth model: nonlinear regression to static version function with resampling residuals onto all the experimental microbial count data; static version regression onto mean counts at sampling times; dynamic version fitting of differential equations onto the bootstrapped mean counts. All the methods outputted almost same mean values of the parameters with difference in their distribution. Parameter search according to the dynamic form of differential equations resulted in the largest distribution of the model parameters but produced the confidence interval of the predicted microbial count close to those of nonlinear regression of static equation.

• Journal of Yeungnam Medical Science
• /
• 제14권2호
• /
• pp.430-442
• /
• 1997

노인의 정상 검사치를 청장년층의 정상 검사치와 비교하고 성별 차이를 파악하며 검사치를 노인병 진료에서 임상적 활용이 가능한 자료로 사용할 목적으로 본 연구를 실시하였다. 영남의료원 종합검진센터에서 검진을 받았던 사람 중 만 60세 이상이며 검진 결과 건강하다고 판정된 617명의 피검자를 노인군으로 선정하였고, 동일한 시기 및 장소에서 검진을 받고 정상으로 판정된 20세이상 35세 이하의 피검자 1,791명을 청장년군으로 선정하였다. 평균 연령은 노인군은 63.8세(60세 - 83세)였고 대조군은 31.1세였다. 대조군에 비해 평균적혈구용적, 평균적혈구혈색소량, 적혈구침강속도, C-반응성 단백, AST,ALT, ${\gamma}$GTP, 알칼리성 포스파타제, BUN, 총 콜레스테롤, 중성지방 농도는 남녀 모두 노인군에서 유의하게 높았으며 임파구(%), 총 빌리루빈과 직접 빌리루빈, 총 단백질, 알부민, 삼요오드타이로닌 농도는 노인군에서 유의하게 낮았다(P<0.05). 혈색소도는 노인군에서 유의하게 낮았다(P<0.05). 혈색소량, 혈소판, 티록신 수치는 남자 노인군에서 유의하게 낮았으며, 호산구(%), 크레아틴닌은 여자 노인군에서 유의하게 높았다. 고밀도 단백 농도는 남자 노인군에서 유의하게 높았으며(P<0.01), 백혈구 수, 호중구 수(%), 단핵 세포구(%), 갑상선 자극 호르몬 농도는 남녀 모두 노인군과 대조군 사이에 유의한 차이가 없었다. 노인에서의 임상병리 검사의 정상치는 청장년의 정상치와 차이가 나는 항목이 많은 것으로 생각되며 성별에 따라서도 큰 차이를 보이는 검사가 있었다. 노인병의 진료시 혈액, 생화학적 검사의 해석에서 이러한 차이가 고려되어야 할 것으로 생각되며 앞으로 보다 많은 수의 대상 및 검사에 영향을 미치는 변수를 고려한 연구가 필요할 것으로 생각된다.