• Title/Summary/Keyword: Merging technique

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Implant prosthesis for fully edentulous patients using intra-oral scanning and abutment merging technique: A case report (무치악 환자에서 구강 스캔과 지대주 중첩을 이용한 임플란트 보철수복 증례)

  • Hwang, Chan-Hyeon;Jeong, Seung-Mi;Kim, Yong-Jun;Kim, Kyeong-Hee;Fang, Jeong-Whan;Kim, Dae-Hwan;Choi, Byung-Ho
    • The Journal of Korean Academy of Prosthodontics
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    • v.55 no.1
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    • pp.61-70
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    • 2017
  • In this case, the impression surface of the existing denture was scanned and was inverted three-dimensionally to express the residual ridge form. Implant planning was performed on the superimposed data of the CT with the scanned image of the denture with radiopaque markers attached. At the day of surgery, customized abutments fabricated in accordance with the form of the gingival margin were linked with fixtures and temporary restorations were set. In the process of fabricating the final prosthesis after the osseointegration of implant fixture, the intraoral scan images at abutment level were merged with images of the abutments scanned and stored before implant surgery. By fabricating the final prosthesis with the abutments obtained by merging can increase the marginal fitness of the final prosthesis and simplify the clinical process.

An Interactive Multi-objective Decision Making Technique for Sequencing Mixed Model Assembly Lines Based on Evolution Programs (진화프로그램에 기반을 둔 혼합모델 조립라인의 투입순서를 위한 대화형 다목적 의사결정 기법)

  • Kim, Yeo-Keun;Lee, Soo-Yeon
    • Journal of Korean Institute of Industrial Engineers
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    • v.25 no.3
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    • pp.310-320
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    • 1999
  • A mixed model assembly line (MMAL) is a special type of production line where a variety of product models similar in product characteristics are assembled. Determining the model sequence is an important problem for the efficient use of MMALs. This paper considers interactive multiobjective decision making problems for MMAL sequencing. Evolution program is employed as an underlying framework. In this study, a way of approximating the linear utility function is first studied. To improve its search efficiency to the solution space preferred by a decision maker, some modifications of a standard evolution program are made: operating several subpopulations instead of a single population and merging two or more subpopulations to a single subpopulation, and using a Pareto pool. Extensive computational experiments are carried out to verify the performance of the proposed approach. The computational results show that our approach is promising in solution quality.

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Efficient CT Image Segmentation Algorithm Using both Spatial and Temporal Information

  • Lee, Sang-Bock;Lee, Jun-Haeng;Lee, Samyol
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.505-510
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    • 2004
  • This paper suggests a new CT-image segmentation algorithm. This algorithm uses morphological filters and the watershed algorithms. The proposed CT-image segmentation algorithm consists of six parts: preprocessing, image simplification, feature extraction, decision making, region merging, and postprocessing. By combining spatial and temporal information, we can get more accurate segmentation results. The simulation results illustrate not only the segmentation results of the conventional scheme but also the results of the proposed scheme; this comparison illustrates the efficacy of the proposed technique. Furthermore, we compare the various medical images of the structuring elements. Indeed, to illustrate the improvement of coding efficiency in postprocessing, we use differential chain coding for the shape coding of results.

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Logic synthesis for TLU-type FPGA (TLU형 FPGA를 위한 논리 설계 알고리즘)

  • 박장현;김보관
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.10
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    • pp.177-185
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    • 1996
  • This paper describes several algorithms for technolgoy mapping of logic functions into interesting and popular FPGAs that use look-up table memories. In order to improved the technology mapping for FPGA, some existing multi-level logic synthesis, decomposition reduction and packing techniques are analyzed and compared. And then new algorithms such as merging fanin, unified reduction and multiple disjoint decomposition which are used for combinational logic design, are proposed. The cost function is used to minimize the number of CLBs and edges of the network. The cost is a linear combination of each weight that is given by user. Finally we compare our new algorithm with previous logic design technique. In an experimental comparison our algorithm requires 10% fewer CLB and nets than SIS-pga.

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Boolean Operation of Non-manifold Model with the Data Structure of Selective Storage (선택저장 자료구조를 이용한 복합다양체 모델의 불리언 작업)

  • 유병현;한순흥
    • Korean Journal of Computational Design and Engineering
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    • v.5 no.4
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    • pp.293-300
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    • 2000
  • The non-manifold geometric modeling technique is to improve design process and to Integrate design, analysis, and manufacturing by handling mixture of wireframe model, surface model, and solid model in a single data structure. For the non-manifold geometric modeling, Euler operators and other high level modeling methods are necessary. Boolean operation is one of the representative modeling method for the non-manifold geometric modeling. This thesis studies Boolean operations of non-manifold model with the data structure of selective storage. The data structure of selective storage is improved non-manifold data structure in that existing non-manifold data structures using ordered topological representation method always store non-manifold information even if edges and vortices are in the manifold situation. To implement Boolean operations for non-manifold model, intersection algorithm for topological cells of three different dimensions, merging and selection algorithm for three dimensional model, and Open Inventor(tm), a 3D toolkit from SGI, are used.

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Brain Magnetic Resonance Image Segmentation Using Adaptive Region Clustering and Fuzzy Rules (적응 영역 군집화 기법과 퍼지 규칙을 이용한 자기공명 뇌 영상의 분할)

  • 김성환;이배호
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.525-528
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    • 1999
  • Abstract - In this paper, a segmentation method for brain Magnetic Resonance(MR) image using region clustering technique with statistical distribution of gradient image and fuzzy rules is described. The brain MRI consists of gray matter and white matter, cerebrospinal fluid. But due to noise, overlap, vagueness, and various parameters, segmentation of MR image is a very difficult task. We use gradient information rather than intensity directly from the MR images and find appropriate thresholds for region classification using gradient approximation, rayleigh distribution function, region clustering, and merging techniques. And then, we propose the adaptive fuzzy rules in order to extract anatomical structures and diseases from brain MR image data. The experimental results shows that the proposed segmentation algorithm given better performance than traditional segmentation techniques.

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Shape Optimization of Electromagnetic System using Level Set Method (전자기 시스템에서 Level Set Method를 이용한 최적화)

  • Kim, Young-Sun;Choi, Hong-Soon;Park, Il-Han;Lee, Ki-Sik
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.623-624
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    • 2008
  • We present a level set method for numerical shape optimization of electromagnetic systems. The level set method does not only lead to efficient computational schemes, but also is able to handle topological changes such as merging, splitting and even disappearing of connected components. The velocity field on boundaries is obtained by a shape derivative of continuum sensitivity analysis using the material derivative concept and an adjoint variable technique. Two numerical results of dielectric optimization between electrodes showed that the level set method is feasible and effective in solving shape optimization problems of electromagnetic systems.

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Prediction of Some Moving-Body Problems Using Overlapped Grid System (중첩된 격자계를 사용한 움직이는 물체의 해석)

  • Lee Jin-Gyu;Chang Keun-Shik
    • 한국전산유체공학회:학술대회논문집
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    • 1998.05a
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    • pp.82-89
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    • 1998
  • There are many moving-body problems to be solved, the solution of which necessary for proper design of flight vehicles in aerospace industry. Since a body moves relative to other bodies in the category of these problems, difficulty arises regarding both generation of computational grid around the body in motion and conservation of flow properties in the moving grid system. A few example could be store separation from the aircraft and relative vibration of multiple bodies in the high-speed flow passage. In this paper we report on the progress made in computing moving-body aerodynamics related with sabot separation characteristics. Conservative overlapping grid together with cell-merging-unmerging technique is used to solve the Euler equations for a body in high-speed motion. Carbuncle errors has to be removed before we obtain physically adequate solution. Two-dimensional application is reported here.

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Automatic Category Merging Technique Electronic Commerce (전자상거래 환경에서의 분류체계 자동 통합 기법)

  • 김재범;김동규;이상구
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10a
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    • pp.281-283
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    • 2000
  • 인터넷은 단순한 정보 교환의 수단이 아니라 기업들의 이윤 창출을 위한 새로운 공간이 되고 있으며 수많은 쇼핑몰들이 이를 설명해 주고 있다. 하지만 분류체계 측면에서 각 쇼핑몰들이 제공하고 있는 분류체계에는 크게 다음 두 가지의 문제점이 있다. 첫째로 각 쇼핑몰마다 서로 다른 자기만의 상품 분류체계를 가지고 있다는 점이다. 이로 인해 쇼핑몰을 이용하고자 하는 사용자는 각 쇼핑몰을 방문할 때마다 혼란스러울 수 밖에 없다. 두 번째는 각 쇼핑몰이 제공하고 있는 분류체계는 정적인 형태만을 띄고 있다는 점이다. 따라서 사용자는 이미 정해져 있는 상품에 대한 분류의 체계만을 좋건 싫건 간에 따라야 한다. 따라서 이러한 문제들을 해결하기 위하여 본 논문에서는 규칙이라는 추가 정보를 가지도록 모델링된 쇼핑몰의 분류체계들에 대하여 자동적인 통합의 기법을 제시한다. 제시된 기법에 의하여 쇼핑몰 사용자들에게 모든 쇼핑몰의 통합된 뷰의 제공, 사용자별 분류체계의 생성, 메타 쇼핑몰 간의 통일된 인터페이스 제공 등을 할 수 있다.

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Rational B-spline Approximation of Point Data For Reverse Engineering (점 데이타의 Rational B-spline 근사를 통한 역공학)

  • Lee, Hyun-Zic;Ko, Tae-Jo;Kim, Hee-Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.5 s.98
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    • pp.160-168
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    • 1999
  • This paper describes one method of reverse engineering that machines a free form shape without descriptive model. A portable five-axes 3D CMM was used to digitize point data from physical model. After approximation by rational B-spline curve from digitized point data of a geometric shape, a surface was constructed by the skinning method of the cross-sectional design technique. Since a surface patch was segmented by fifteen part, surface merging was also implemented to assure the surface boundary continuity. Finally, composite surface was transferred to commercial CAD/CAM system through IFES translation in order to machine the modeled geometric shape.

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