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3차원 동영상 데이터의 통계적 모델링과 주기적 평균값에 의한 Smoothing 방법에 관한 연구
김덕성,김태형,이병호,Kim, Duck-Sung,Kim, Tae-Hyung,Rhee, Byung-Ho 대한전자공학회 1999 電子工學會論文誌, S Vol.s36 No.6
We propose a simulation model of 3-dimensional MPEG data over Asynchronous transfer Mode(ATM) networks. The model is based on a slice level and is named to Projected Vector Autoregressive(PVAR) model. The PVAR model is modeled using the Autoregressive(AR) model in order to meet the autocorrelation condition and fit the histogram, and maps real data by a projection function. For the projection function, we use the Cumulative Distribution Probability Function (CDPF), and the procedure is performed at each slice level. Our proposed model shows good performance in meeting the autocorrelation condition and fitting the histogram, and is found important in analyzing the performance of networks. In addiotion, we apply a smoothing method by which a periodic mean value. In general. the Quality of Service(QoS) depends on the Cell Loss Rate(CLR), which is related to the cell loss and a maximum delay in a buffer. Hence the proposed smoothing method can be used to improve the QoS. 본 논문에서는 ATM망에서 3차원 동영상 데이터의 시뮬레이션 모델을 제시한다. 이 모델은 슬라이스 레벨에 기초를 두며, PVAR(Projected Vector Autoregressive)모델이라고 명한다. PVAR 모델은 자기상관성(Autocorrelation)과 히스토그램(Histogram)특성을 만족하기 위해 AR(Autoregressive)모델에 기초로 모델링 되고 프로젝션 함수(Projection function)에 의해 실제 데이터를 매핑 한다. 프로젝션 함수로는 CDPF(cumulative distribution probability function)를 사용한다. 이때 과정은 슬라이스 단위로 수행된다. 제안된 모델은 자기 상관성과 히스토그램을 만족시키는데 좋은 성능을 보여주고, 네트워크 성능 분석에 중요하다. 이어서 이것을 주기적 평균값에 의한 Smoothing 방법에 적용한다. 일반적으로 QoS는 버퍼(buffer)에서의 셀 손신과 최대 지연에 관계된 CLR에 달려 있다. 따라서 제안한 Smoothing 기법은 QoS를 향상시키는데 이용할 수 있다.
김덕성,이태용,이영수,류기하 충남대학교 의과대학 지역사회의학연구소 1992 충남의대잡지 Vol.19 No.2
To find out the survival rates of stomach cancer patients, the author studied 288 stomach cancer patients who took operation at the Department of Surgery in Chungnam National University Hospital from January 1, 1985 to December 31, 1991. The results were as follows: 1. Of the total patients, 67.4% were male: but 32.6% were female. 2. 64.6% of patients lived in rural area and 35.4% urban;98.3% of those were married; 30.6% were farmers and 17.4% were commercial workers; 54.5% were smokers; 48.3% were alcohol drinkers. 3. By types of gastric cancer, 84.4% were progressive gastric cancer patients. Among these, type 2 patients were more than other type patients. 61.5% of those had metastasis to lymph node. 55.2% of those took operation by RSG with gastrojejunostomy; 97.6% of those knew that they had cancer; 19.1% of those had a family history that at least one of family members had cancer. 4. The gross 5 year survival rate of total patients was 47.2%. 5. The 5 year survival rate of male patients was 41.6% but that of female was 46.3%. The 5 year survival rates by residential area, chemotherapy, marital status, blood type, family history, smoking, and drinking were not significantly different. 6. The 5 year survival rate of type 2 progressive gastric cancer patients was the highest with the rate of 72.0%. Metastasis to lymph node and type of operation showed statistically significant difference in 5 year survival rates.