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김희광,윤규호,전인성,김태열,김기엽,김현우 大韓顎顔面成形再建外科學會 2003 Maxillofacial Plastic Reconstructive Surgery Vol.25 No.1
Neurofibroma is benign neurogenic tumor originated from nerve tissue-Schwann cell, fibroblast, perineural cell. They have no sexual predirection and generally no symptom. Neurofibroma is classified to solitary type and multiple type and is rare in oral resion. They located in soft tissue of tongue, lip, palate and oral mucosa in form of sessile and pedunculated mass and are rare intraosseous region. In solitary type, complete excision is the choice of treatment due to their rare recurrence rate. In multiple type, the same is choice of treatment but bas some difficulty of plastic problem, bleeding
권희용,전상엽 안양대학교 산업기술연구소 2004 自然科學硏究 Vol.11 No.1
온라인 필기체 한자는 동일인의 동일 문자조차도 획수, 획순 및 형태의 변화가 다양할 뿐만 아니라 인식 대상이 방대하여 인식이 매우 어렵다. 또한 한자는 기본 자소의 조합에 의한 글자가 아닌 각각의 글자가 독립적으로 이루어져 있어 연속된 획들 간의 관련도를 파악하기 어렵고 획수도 1획에서 28획까지 다양하게 분포를 한다. 따라서 본 연구에서는 대분류 단계로 시작 획 비교를 하고 이어진 세 분류 단계에서 문자의 특징으로 방향코드와 특이점을 추출해내고 획수 및 각 획의 특징을 고려하여 DP 정합을 하는 2단계 인식 시스템을 제안하였다. 이로써 최적의 속도로 입력한 문자를 찾아낼 수 있도록 하였다. In this paper, we propose two step handwriting chinese character recognition system. It is very difficult to recognize them because there are many variations on the number of strokes, orders and shapes even in a character written by a person, and there are too many characters about 100 thousand and strokes from 1 to 28, to classify. And also, Chinese characters are not composed of basic components like consonants and vowels, but independent simple units. So it is hard to analyze the relationship among the consecutive strokes. We propose a new two step recognition system; In the class classifying step, we compare the first stroke of an input character with that of models and classify the class, in the recognizing step, we extract the direction codes and characteristic points from strokes as a character's features, then matches them with those of model patterns using DP algorithm considering with the numbers of strokes and the features. In the experiments, we show that the proposed algorithm effectively classifies the input characters.
Hee Yeop Chae,Yeo Hong Yoon,En Sup Yoon 한국화학공학회 1994 NICE Vol.12 No.5
N/A A knowledge-based expert system for hazard and operability study(HAZOP) is developed. HAZOP study is regarded as one of the most systematic and logical qualitative hazard identification methodologies. But, it requires a multidisciplinary team and is very time-consuming and repetitious task in nature. By developing an computer-aided automation system, these drawbacks of HAZOP study can be overcomed. Considerable manpower and time can be reduced and even past experiences of engineers and existing checklists can be stored for future use in the form of knowledge base. The developed knowledge-based HAZOP expert system has a frame-based knowledge structure for equipment failures and process properties, and rule networks for consequence reasoning which uses both forward and backward chaining. the system is open-ended and modular in structure to make it easy to implement wide process knowledge for future expansion. LPG storage and fractionation process has taken as example to test the applicability of the developed system as an automated HAZOP study system. The result shows that savings more than 501r of the required manpower and time for HAOP studies can be achieved, and the system is very efficient and reliable, too.
( Hee Yoon Jang ),( Youn Hee Cho ),( Jeong Yeop Song ),( Yun Nah Lee ),( Sae Hwan Lee ),( Soung Won Jung ),( Sang Gyune Kim ),( Jae Young Jang ),( Young Seok Kim ),( Hong Soo Kim ),( Boo Sung Kim ),( 대한간학회 2013 춘·추계 학술대회 (KASL) Vol.2013 No.1
Background: Currently, we decide treatment of hepatocellular carcinoma by BCLC staging classification. The outcome of TACE is improved recently and there are increasing cases that the patients do not want surgical resection or the patients cannot be performed surgical resection by comorbidity and higher surgical risk in resectable HCC patients. The aim of this study was to evaluate the treatment outcome & prognostic factor about survival rate of TACE with BCLC stage 0 and A HCC. Methods: From 2007 to 2009, 127 consecutive patients with HCC who diagnosed HCC at our hospital and underwent TACE or hepatic resection for first treatment were included in this study. We collected demographic, laboratory, radiological data of patients and performed retrospective analysis. 104 underwent TACE and 23 underwent hepatic resection. Of these, BCLC stage 0 (14, TACE=11, OP=3) and A (58, TACE=45, OP=13) were selected and subgroup analysis was performed. 3-year survival rate between the groups and univariate & multivariate analysis for prognostic factors of BCLC stage 0 and A HCC with TACE were studied. Results: Surgical resection group had a better 3-year survival rate than TACE group (80.9% vs 50.4%, P=0.029). The 3-year survival rate was 60.8% in TACE and 79.1% in the surgical resection group when the patients were BCLC stage 0 and A and there was no difference in survival between the surgical resection and TACE groups (P=0.321). In BCLC stage 0 and A group that surgery was recommended but performed TACE, 3-year survival rate was similar to hepatic resection group when albumin >3.5 g/dL (75.8%, P=0.016), Child Pugh class score 5 (74.7%, P=0.022). In multivariate analysis, bilirubin <2 mg/dL (P=0.034), lower r-GT level (P=0.009) were associated with good prognosis for HCC. Conclusions: In some patients, although it shows a comparable outcome with surgical resection and TACE, in BCLC stage 0 and A HCC patients, surgical resection is a better therapeutic option than TACE. It should be considered active surgical intervention in BCLC stage 0 and A HCC patients.
SAFETY ANALYSIS USING AN EXPERT SYSTEM IN CHEMICAL PROCESSES
Hee Yeop Chae,Yeo Hong Yoon,En Sup Yoon 한국화학공학회 1994 Korean Journal of Chemical Engineering Vol.11 No.3
A knowledge-based expert system for hazard and operability study (HAZOP) is developed. HAZOP study is regarded as one of the most systematic and logical qualitative hazard identification methodologies. But, it requires a multidisciplinary team and is very time-consuming and repetitious task in nature. By developing an computer-aided automation system, these drawbacks of HAZOP study can be overcome. Considerable manpower and time can be reduced and even past experiences of engineers and existing checklists can be stored for future use in the form of knowledge base. The developed knowledge-based HAZOP expert system has a frame-based knowledge structure for equipment failures and process properties, and rule networks for consequence reasoning which uses both forward and backward chaining. The system is open-ended and modular in structure to make it easy to implement wide process knowledge for future expansion. LPG storage and fractionation process has taken as example to test the applicability of the developed system as an automated HAZOP study system. The result shows that savings more than 50% of the required manpower and time for HAZOP studies can be achieved, and the system is very efficient and reliable, too.