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시멘트 두께에 따른 IPS Empress 도재의 전단결합강도에 관한 연구
신동국,송병권,동진근 원광대학교 치의학연구소 1999 圓光齒醫學 Vol.9 No.1
The purpose of this study was to compare the shear bond strength of IPS Empress ceramic according to resin cement thickness. To evaluate the shear bond strength between IPS Empress and dentin, the 48 IPS Empress ceramic specimens(diameter 5㎜, length 6㎜) were cemented with Variolink Ⅱ cement (Vivadent, Liechtenstein) to human molars which had a uniform area of exposed dentin. Resin cement thicknesses were 10μm, 30μm, 50μm, and 100μm, which were made by a modified micrometer. The specimens were thermocycled 1000 times at temperature of 5℃ and 55℃. The shear bond strength of the cemented specimens was measured with a universal testing machine(Zwick 1456 41,Zwick Co., Germany) with a crosshead speed of 0.5㎜/min. The obtained results were as follows: 1. The shear bond strength of the 10μm thickness group was the highest of all. The mean shear bond strength was 12.19㎫ in the 10 pm thickness group, 9.30㎫ in the 30μm thickness group, 8.79㎫ in the 50μm thickness group, and 7.40㎫ in the 100μm thickness group. The shear bond strength of the 10μm thickness group was statistically different from the 50μm thickness group and the 100μm thickness group. (p<0.05) 2. The fracture pattern of IPS Empress ceramics occurred between the teeth and the resin cements in all specimens.
IPS Empress 도재관의 파절강도 : 상악 견치에서 절단연 삭제량과 축면 경사도에 따른 영향
신동국,강한중,박용석,박광수,동진근,Shin Dong-Kuk,Kang Han-Joong,Park Yong-Suck,Park Kwang-Soo,Dong Jin-Keun 대한치과보철학회 2005 대한치과보철학회지 Vol.43 No.1
Purpose. The purpose of this study was to compare the fracture strength of the IPS Empress ceramic crown according to the incisal reduction (2.0mm, 2.5mm, 3.0mm) and axial inclination ($4^{\circ}$, $8^{\circ}$, $12^{\circ}$) of the upper canine. Material and methods. After 10 metal dies were made for each group, the IPS Empress ceramic crowns were fabricated and each crown was cemented on each metal die with resin cement. The cemented crowns mounted on the testing jig were inclined 30 degrees and the universal testing machine was used to measure the fracture strength. Results. 1. The fracture strength of the ceramic crown with 3.0mm depth and $12^{\circ}$ inclination was the highest (839N) Crowns of 2.0mm depth and $12^{\circ}$ inclination had the lowest strength (559N). 2. There was no significant difference in the fracture strength by axial inclination in the same incisal reduction group. 3. The fracture mode of the crowns was similar. Most of fracture lines began at the loading area and extended through proximal surface perpendicular to the margin irrespective of incisal reduction.
복합 한의 치료를 시행한 교통사고 후 악화된 본태성떨림플러스 환자: 증례 보고
신동국,심현아,김진현,김영준,고영탁 대한한방신경정신과학회 2023 동의신경정신과학회지 Vol.34 No.4
Objectives: The purpose of this study was to report the effect of complex Korean medicine treatments on Essential Tremor Plus (ET plus) patient aggravated by a traffic accident. Methods: We treated an ET plus patient with complex Korean medicine. The patient’s resting tremor and kinetic tremor in both hands intensified after experiencing a traffic accident, with tremor in the left hand being worse than that in the right hand. Effect of complex Korean medicine treatment was evaluated using Fahn-Tolosa-Marin Tremor Rating Scale (FTMTRS), Numerical Rating Scale (NRS), and Beck Anxiety Inventory (BAI). Results: After 26 weeks of treatments (acupuncture, pharmacupuncture, cupping, Iigyeungbyunqitherapy, and herbal medicine), the FTMTRS decreased from 38 to 15. NRS of Lt. upper limb pain decreased from NRS 9 to 0. BAI score also decreased from 31 to 17. Conclusions: Complex Korean medicine could be used to treat patients with ET plus aggravated by a traffic accident.
국부적 영역에서의 특징 공간 속성을 이용한 다중 인식기 선택
신동국(Dong-Kuk Shin),송혜정(Hye-Jeong Song),김백섭(BaekSop Kim) 한국정보과학회 2004 정보과학회논문지 : 소프트웨어 및 응용 Vol.31 No.12
본 논문은 시험 표본 주위의 영역에 대한 속성을 이용한 다중 인식기 선택 방법을 제안한다. 기존의 DCS-LA 동적 인식기 선택 방법은 시험 표본 주위의 학습표본들을 사용해서 각 인식기의 국부적정확성을 계산하여 인식기를 동적으로 선택하기 때문에 인식 시간이 오래 걸린다. 본 논문에서는 특징공간에서 국부적인 속성을 계산해서 그 속성값에 적합한 인식기를 미리 선정해서 저장해 놓은 후 시험 표본이 들어오면 그 주변의 속성값에 따라 저장된 인식기에서 선택을 하기 때문에 인식시간을 줄일 수 있다. 국부적인 속성으로는 표본 주위의 작은 영역에 대한 엔트로피와 밀도를 계산하여 사용하였으며 이들을 특징공간속성(Feature Space Attribute)라고 하였다. 이들 두 속성으로 이루어지는 속성 공간을 규칙적인 사각형 셀로 나누어, 학습과정에서 각각의 학습표본에 대해 계산된 속성값이 어떤 셀에 속하는지를 구한다. 또한 각 셀에 속하는 학습표본들에 대해 각 인식기의 국부적 정확도를 구하여 셀에 저장한다. 시험 과정에서 시험표본에 대해 속성값 계산을 통해 그 표본이 속하는 셀을 구한 후 그 셀에서 국부적 정확도가 가장 높은 인식기로 인식한다. Elena 데이타베이스를 사용해서 기존의 방법과 제안된 방법을 비교하였다. 제안된 방법은 기존의 DCS-LA와 거의 같은 인식률을 나타내지만 인식속도는 약 4배 가까이 빨라짐을 실험을 통해 확인할 수 있었다. This paper presents a method for classifier selection that uses distribution information of the training samples in a small region surrounding a sample. The conventional DCS-LA(Dynamic Classifier Selection - Local Accuracy) selects a classifier dynamically by comparing the local accuracy of each classifier at the test time, which inevitably requires long classification time. On the other hand, in the proposed approach, the best classifier in a local region is stored in the FSA(Feature Space Attribute) table during the training time, and the test is done by just referring to the table. Therefore, this approach enables fast classification because classification is not needed during test. Two feature space attributes are used : entropy and density of k training samples around each sample. Each sample in the feature space is mapped into a point in the attribute space made by two attributes. The attribute space is divided into regular rectangular cells in which the local accuracy of each classifier is appended. The cells with associated local accuracy comprise the FSA table. During test, when a test sample is applied, the cell to which the test sample belongs is determined first by calculating the two attributes, and then, the most accurate classifier is chosen from the FSA table. To show the effectiveness of the proposed algorithm, it is compared with the conventional DCS-LA using the Elena database. The experiments show that the accuracy of the proposed algorithm is almost same as DCS-LA, but the classification time is about four times faster than that.