• Title/Summary/Keyword: 국소적용

Search Result 471, Processing Time 0.027 seconds

Application of nonlocal elasticity theory for buckling analysis of nano-scale plates (나노 스케일 판의 좌굴해석을 위한 비국소 탄성 이론의 적용)

  • Lee, Won-Hong;Han, Sung-Cheon;Park, Weon-Tae
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.13 no.11
    • /
    • pp.5542-5550
    • /
    • 2012
  • Third-order shear deformation theory is reformulated using the nonlocal elasticity of Eringen. The equation of equilibrium of the nonlocal elasticity are derived. This theory has ability to capture the both small scale effects and quadratic variation of shear strain through the plate thickness. Navier's method has been used to solve the governing equations for all edges simply supported boundary conditions. Analytical solutions of buckling of nano-scale plates are presented using this theory to illustrate the effect of nonlocal theory on buckling load of the nano-scale plates. The relations between nonlocal third-order and local theories are discussed by numerical results. Further, effects of (i) length (ii) nonlocal parameter, (iii) aspect ratio and (iv) mode number on nondimensional buckling load are studied. In order to validate the present solutions, the reference solutions are used and discussed. The present results of nano-scale plates using the nonlocal theory can provide a useful benchmark to check the accuracy of related numerical solutions.

RPD framework fabrication using computer-aided design (CAD) and rapid prototyping (Computer-aided design (CAD) 및 쾌속조형술을 이용한 가철성 국소의치 수복 증례)

  • Park, Seon-Ah;Koak, Jai-Young;Heo, Seong-Joo;Kim, Seong-Kyun;Park, Ji-Man
    • The Journal of Korean Academy of Prosthodontics
    • /
    • v.55 no.1
    • /
    • pp.94-99
    • /
    • 2017
  • Nowadays, digital dentistry is generally applied to prosthodontics with fabrication of inlays or any other fixed prostheses by utilizing CAD/CAM (computer-aided design/computer-aided manufacturing) technology and intraoral scanner. However, in fabricating removable prosthesis, there are some limitations for digital technology to substitute conventional casting method. Therefore, approaching removable prostheses fabrication with CAD/CAM technology would be a meaningful trial. In this case report, Kennedy class III mandibular edentulous patient who was in need of increasing the vertical dimension of occlusion was treated with removable partial denture using CAD and rapid prototyping technique. Surveying and designing the metal framework of the partial denture was performed with CAD, and sacrificial plastic pattern was fabricated with rapid prototyping technique. During the follow up period of nine months, the removable partial denture has provided satisfactory results in esthetics and function.

The Evaluation of Usefulness of Wide Beam Reconstruction Method on Segmental Perfusion and Regional Wall Motion in Myocardial Perfusion SPECT (심근관류 SPECT의 분절별 관류 및 국소벽 운동에서 Wide Beam Reconstruction기법의 유용성 평가)

  • Seong, Yong-Joon;Kim, Tae-Yeob;Moon, Il-Sang;Cho, Seong-Wook;Woo, Jae-Ryong
    • The Korean Journal of Nuclear Medicine Technology
    • /
    • v.15 no.1
    • /
    • pp.51-57
    • /
    • 2011
  • Purpose: The aim of this study is to identify clinical usefulness of Wide Beam Reconstruction (WBR) which is called Xpress.cardiac$^{TM}$ to confirm the agreement between segmental perfusion and regional wall motion in myocardium compared to conventional OSEM method. Materials and Methods: Subjects were separated two groups. First group was composed of 20 normal control group. Second group was composed of 10 patients (abnormal group) who had coronary artery disease. Subjects underwent myocardial perfusion SPECT ($^{201}Tl$ rest and $^{99m}Tc$-MIBI stress). Image acquisition and reconstruction were that rest stage was each step per 30, 15 seconds and stress stage was each step per 25, 13 seconds, OSEM and WBR methods were applied. Segmental perfusion and regional wall motion were applied 20-segment model of QPS, QGS algorithm in AutoQuant. Status of perfusion was composed of 5 point scoring system (0=normal, 1=mild, 2=moderate, 3=severe hypokinesia, 4=dyskinesia). Status of regional wall motion was also composed of 5 point scoring (0=normal, 1=mild, 2=moderate, 3=severe hypokinesia, 4=dyskinesia). We evaluated the agreement between conventional OSEM and WBR through automatic quantification value. Results: The agreement of rest segmental perfusion between conventional OSEM and WBR in normal patients was 99% (396/400, k=0.662, p<0.0001) and one of rest regional wall motion was 83.8% (335/400, k=0.283), the agreement of stress segmental perfusion was 95.8%(383/400, k=0.656), one of stress regional wall motion was 87.3% (349/400, k=0.390). The match rate of rest segmental perfusion in abnormal patients was 83% (166/200, k=0.605, p<0.0001) and one of rest regional wall motion was 55.5% (111/200, k=0.385), the agreement of stress segmental perfusion was 79.5% (159/200, k=0.682), one of stress regional wall motion was 63.5% (127/200, k=0.486). Conclusion: Compared to conventional OSEM, WBR method had a good agreement of segmental perfusion in myocardium in normal and abnormal groups. However regional wall motion showed meaningful low agreement. Although WBR offers high resolution and contrast ratio, it is not useful method for gated myocardial perfusion SPECT.

  • PDF

Unsupervised Noun Sense Disambiguation using Local Context and Co-occurrence (국소 문맥과 공기 정보를 이용한 비교사 학습 방식의 명사 의미 중의성 해소)

  • Lee, Seung-Woo;Lee, Geun-Bae
    • Journal of KIISE:Software and Applications
    • /
    • v.27 no.7
    • /
    • pp.769-783
    • /
    • 2000
  • In this paper, in order to disambiguate Korean noun word sense, we define a local context and explain how to extract it from a raw corpus. Following the intuition that two different nouns are likely to have similar meanings if they occur in the same local context, we use, as a clue, the word that occurs in the same local context where the target noun occurs. This method increases the usability of extracted knowledge and makes it possible to disambiguate the sense of infrequent words. And we can overcome the data sparseness problem by extending the verbs in a local context. The sense of a target noun is decided by the maximum similarity to the clues learned previously. The similarity between two words is computed by their concept distance in the sense hierarchy borrowed from WordNet. By reducing the multiplicity of clues gradually in the process of computing maximum similarity, we can speed up for next time calculation. When a target noun has more than two local contexts, we assign a weight according to the type of each local context to implement the differences according to the strength of semantic restriction of local contexts. As another knowledge source, we get a co-occurrence information from dictionary definitions and example sentences about the target noun. This is used to support local contexts and helps to select the most appropriate sense of the target noun. Through experiments using the proposed method, we discovered that the applicability of local contexts is very high and the co-occurrence information can supplement the local context for the precision. In spite of the high multiplicity of the target nouns used in our experiments, we can achieve higher performance (89.8%) than the supervised methods which use a sense-tagged corpus.

  • PDF

Fabricating retrofit crowns to an existing removable partial denture by CAD-CAM: a case report (CAD-CAM을 이용한 RPD 지대치의 retrofit crown 제작 증례)

  • Hyuksoon Lee;Seong-A Kim;Joo-Hyuk Bang;Sung Yong Kim;Hee-Won Jang;Keun-Woo Lee;Yong-Sang Lee
    • The Journal of Korean Academy of Prosthodontics
    • /
    • v.62 no.2
    • /
    • pp.140-145
    • /
    • 2024
  • Removable partial denture wearers are exposed to the risks that remaining teeth get damaged by caries, attritions, erosion, and fracture. In the case of damaged abutment tooth which should fit to Removable partial denture (RPD), the fabrication of surveyed crown is followed by the making of RPD. However, making new denture takes a long time, and needs several processes and costs. Also, patients should get used to new denture. If other abutment teeth and edentulous ridges provide the existing denture with support, retention, and stability, use of existing denture is considered clinically acceptable. In this situation, fabricating retrofit crowns to an existing removable partial denture makes patient use existing denture, cuts costs, and reduces discomfort. In this case, severely worn teeth were restored using monolithic zirconia crown which fit to an existing removable partial denture by CAD-CAM. Moreover, support, retention, and stability of the denture were improved, and both doctor and patient were satisfied with the result.

Fault Diagnosis using Neural Network by Tabu Search Learning Algorithm (Tabu 탐색학습알고리즘에 의한 신경회로망을 이용한 결함진단)

  • 양보석;신광재;최원호
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
    • /
    • 1995.10a
    • /
    • pp.280-283
    • /
    • 1995
  • 계층형 신경회로망은 학습능력이나 비선형사상능력을 가지고 있고, 그 특징을 이용하여 패턴인식이나 동정 및 제어 등에의 적용이 시도되어 성과를 올리고 있다. 현재, 그 학습법으로 널리 이용되고 있는 것이 역전파학습법으로 최급 강하법이나 공액경사법 등의 최적화 방법이 적용되고 있지만, 학습에 많은 시간이 걸리는 점, 국소적 최적해(local minima)에 해의 수렴이 이루어져 오차가 충분히 작게 되지 않는 점 등이 문제점으로 지적되고 있다. 본 논문에서는 Hu에 의해 고안된 random 탐색법과 조합된 random tabu 탐색법으로 최적결합계수를 구하는 학습알고리즘으로, 국소적 최적해에 수렴하는 것을 방지하고, 수렴정도를 개선하는 새로운 방법을 이용하여 회전기계의 이상진동진단에 적용가능성을 검토하고 오차역전파법에 의한 진단결과와 비교검토한다.

  • PDF

Morphological disambiguation using Local Context (국소 문맥을 이용한 형태적 중의성 해소)

  • 이충희;윤준태;송만석
    • Proceedings of the Korean Society for Cognitive Science Conference
    • /
    • 2000.06a
    • /
    • pp.48-55
    • /
    • 2000
  • 본 논문은 국소문맥을 사용하여 만들어진 Decision List를 통해 단어의 형태적 중의성을 제거하는 방법을 기술한다. 최초 종자 연어(Seed Collocation)로 1차 Decision List를 만들어 실험 말뭉치에 적용하고 태깅된 결과를 자가 학습하는 반복과정에 의해 Decision List의 수행능력을 향상시킨다. 이 방법은 단어의 형태적 중의성 제거에 일정 거리의 연어가 가장 큰 영향을 끼친다는 직관에 바탕을 두며 사람의 추가적인 교정을 필요로 하지 않는 비교사 방식(대량의 원시 말뭉치에 기반한)에 의해 수행한다. 학습을 통해 얻어진 Decision List는 연세대 형태소 분석기인 MORANY의 형태소 분석 결과에 적용되어 태깅시 성능을 향상시킨다. 실험 말뭉치에 있는 중의성을 가진 12개의 단어들에 본 알고리즘을 적용하여 긍정적인 결과(90.61%)를 얻었다. 은닉 마르코프 모델의 바이그램(bigram) 모델과 비교하기 위하여 '들었다' 동사만을 가지고 실험하였는데 바이그램 모델의 태깅결과(72.61%)보다 뛰어난 결과(94.25%)를 얻어서 본 모델이 형태적 중의성 해소에 유용함을 확인하였다.

  • PDF

Morphological disambiguation using Local Context (국소 문맥을 이용한 형태적 중의성 해소)

  • Lee, Chung-Hee;Yoon, Jun-Tae;Song, Man-Suk
    • Annual Conference on Human and Language Technology
    • /
    • 2000.10d
    • /
    • pp.48-55
    • /
    • 2000
  • 본 논문은 국소문맥을 사용하여 만들어진 Decision List를 통해 단어의 형태적 중의성을 제거하는 방법을 기술한다. 최초 종자 연어(Seed Collocation)로 1차 Decision List를 만들어 실험 말뭉치에 적용하고 태깅된 결과를 자가 학습하는 반복과정에 의해 Decision List의 수행능력을 향상시킨다. 이 방법은 단어의 형태적 중의성 제거에 일정 거리의 연어가 가장 큰 영향을 끼친다는 직관에 바탕을 두며 사람의 추가적인 교정을 필요로 하지 않는 비교사 방식(대량의 원시 말뭉치에 기반한)에 의해 수행한다. 학습을 통해 얻어진 Decision List는 연세대 형태소 분석기인 MORANY의 형태소 분석 결과에 적용되어 태깅시 성능을 향상시킨다. 실험 말뭉치에 있는 중의성을 가진 12개의 단어들에 본 알고리즘을 적용하여 긍정적인 결과(90.61%)를 얻었다. 은닉 마르코프 모델의 바이그램(bigram) 모델과 비교하기 위하여 '들었다' 동사만을 가지고 실험하였는데 바이그램 모델의 태깅결과(72.61%)보다 뛰어난 결과 (94.25%)를 얻어서 본 모델이 형태적 중의성 해소에 유용함을 확인하였다.

  • PDF