(A) study on corelativity between the head, face and the maxillary arch in Korean

치의학과/석사[한글] 저자는 정상교합자의 두부, 안면과 상악치궁의 크기 및 형태에 관한 상호유사성을 찾아 앞으로 생활방식에 따른 두부형태의 변화연구나 부정교합자에 있어서의 이같은 연구 및 임상응용에 기여코져 8∼19세까지의 정상교합자 남·여 336명을 대상으로 다각적으로 유사성을 찾은 결과 다음과 같은 결론을 얻었다. 1. 두부안면 높이(H. H. F.)와 치궁길이(A. L.)의 비교에서 상관관계 계수는 0.203∼0.543이었다. 2. 양협골궁폭(Z. W.)과 양 견치폭(C-C)의 상관관계 계수는 0.203∼0.543이었다. 3. 양 협골궁폭(Z. W.)과 양 제일대구치폭(M-M)의 상관관계 계수는 0.206∼0.600으로 본 연구에서 가장 큰 상관관계를 보였다. 4. 안면형태(Index a)와 상악치궁형태(Index c)의 상관관계 계수는 0.232∼0.404이었다. 5. 안면형태(Index a)와 상악치궁형태(Index d)의 상환관계 계수는 0.221∼0.401이었다. 6. 두부 전후폭(A. P. W.)과 치궁길이(A. L.)의 비교 및 두부형태 (Index b)와 상악치궁형태(Index c, Index d)의 비교에서는 상관관계가 거의 없는 것으로 나타났다. [영문] This article studied the corelativity between the head, and face the maxillary arch in Korean. This study was undertaken in 336 persons at age from 8 to 19 years who had normal occlusion by means of angle's classification. The following result were obtained. 1. The corelative coefficient between the Height of Head and Face(H.H.F.) and the Arch Length(A.L.) was 0.203-0.543. 2. The corelative coefficient between the Bizygomatic width(Z.W.) and the Bicanine width(C-C) was 0.203-0.543. 3. The corelative coefficient between the Bizygomatic width(Z.W.) and the Bimolar width(M-M) was 0.206-0.600. 4. The corelative coefficient between the Face shape(Index a) and Maxillary arch shape(Index c) was 0.232-0.404. 5. The corelative coefficient between the Face shape(Index a) and Maxillary arch shape(Index d) was 0.221-0.401. 6. There was no corelativity between the Anterior-posterior width of head(A.P.W.) and Arch Length(A.L.), Head shape(Index b) and Maxillary arch shape(Index c, Indexd)restrictio

Experimental study of the center of resistance of a maxillary canine using laser speckle interferometry and holographic interferometry

치의학과/박사[한글] Center of resistance는 치아이동 양상을 결정짓는 중요한 요인이다. 저자는 건조두개골에서 상악 견치의 Center of resistance를 찾기 위해 초기 치아 이동과 같은 미세한 움직임의 정확한 정량 분석이 가능한 laser speckle interferometry를 이용하였고 이 결과를 확인하기 위해 laser holographic interferometry를 써서 다음과 같은 결론을 얻었다. 1. degree of rotation의 측정에서는 traction line이 치조골 정상에서 치근단쪽으로 4.4/18.0 level에서 bodily movement를 나타냈고 이 level을 center of resistance라고 할 수 있다. 2. degree of tipping의 측정에서는 center of resistance가 치조골 정상에서 치근단쪽으로 4.6/18.0 level에 위치함을 알 수 있었다. 3. holographic verification에서는 traction level C (3/18)와 D (6/18)사이에서 bodily movement가 일어남을 보여 주었고, 따라서 이 level에 center of resistance가 위치한다고 볼 수 있고 이 결과는 speckle interferometry를 이용한 실험의 결과와 일치하였다. [영문] The center of resistance is a important determining factor of tooth movement pattern. Laser speckle interferometry, recently developed for noninvasive measurement of small displacements (microns), was used to detect the center of resistance of a maxillary canine which has normal tooth axis and distal curved root in dry human skull. Laser holographic interferometry was used to verify the results of laser speckle interferometry. The following result were obtained; 1. In measurement of the degree of rotation, center of resistance was localized when the traction line passed 4.4/18.0 level from alveola crest to root apex. 2. In measurement of the degree of tipping, center of resistance was localized when the traction line passed 4.6/l8.0 level from alveola crest to root apex. 3. In holographic determination, the center of resistance was observed when the traction line passed between 3mm to 6mm level from alveola crest to root apex, therefore the results using laser speckle interferometry was coincided with holographic results.restrictio

공유공간기술을 이용한 통합형 레스토랑의 정보 자동화 시스템 설계

Thesis (master`s)--서울대학교 대학원 :농생명공학부,2003.Diverse restaurant targeted automation systems are on the market and widely used in ordering and financial management areas. But usages of system are confined to specific areas with convenience of customer and interrelation of diverse systems overlooked. To develop integrating architecture for diverse restaurant automation systems, studies on the structure of hardware and software of service components in the restaurant were carried out. A scale model of Korean restaurant (20:1, table : 25, chair : 106) to serve two meals was built and used as a target restaurant, which provided kitchen, counter desk, table manager, child-care, shopping, serving and music services including customer and manager services. Automation system was constructed with PC, PDA (Personal Digital Assistant) and microcontroller together with network system. The operation programs of the restaurant were developed using Java language based on five methodologies; hierarchical clustering approach, actor-agent / space-mediator model, RMI based asynchronous communication, Jini-based plug-and-play architecture, and leasing model for regulating access. The major automated restaurant components included auto-guiding system from reception desk to guest-table, PDA based ordering and amusement system, and robot serving system. Communication network architecture was implemented using Shared-Space technology, and proposed architecture provided flexibility, scalability and adaptability to the system. Nine operation programs were developed to execute high-speed service through wired and wireless communication network: PDA program for customer and manager, microcontroller program for auto-guiding, and PC program for serving-robot, child-care, music, kitchen, shopping and counter-desk. Developed restaurant automation system was tested through simulation. One of the verified functions among the available services was table service technology. The table services made available on the screen of PDA from the selection and order of meal to other service area such as child-care, shopping and amusement.Maste