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Kenichi Ohura,Akitake Makinouchi,Cristian Teodosiu,Yutaka Nagai,Jyuichi Nagse 한국소성가공학회 2010 기타자료 Vol.2010 No.6
The warpage of casting parts is a critical issue, especially for large industrial products. Besides, it is difficult to predict the warpage accurately in the casting process because of its complex dependence on mechanical and thermal factors such as the constitutive law of the high temperature metal, the temperature history of the entire part and the restrictions imposed on the deformation by the mold wall. In the present paper, a 3D finite element software V-Shrink developed within the VCAD System Research Program is used to simulate the warpage of an L-plate sand mold casting. It takes into account the thermal coupling between the cast and the mold with non-uniform heat transfer coefficient depending on the local air-gap thickness. 1) The thermo-elastoplastic constitutive law with the temperature dependency of the yield stress is used for the thermal contraction analysis. 2) The simulated warpage of the L-plate casting is in good agreement with the experimental data obtained by a 3D digitizer. Furthermore, the well-known technical finding that the inelastic strain caused by the temperature dependence of the yield stress and the local delay of the temperature drop is a dominant factor of the warpage, is confirmed by the simulation.
Semiautomatic Segmentation of Lung Region from Three Dimensional Color Images of Visible Human
Hideaki Kido,Kunihiko Kaneko,Akifumi Makinouchi 대한의료정보학회 2007 Healthcare Informatics Research Vol.13 No.2
Objective: Watershed algorithm is image segmentation algorithm divides the image into numerous small regions. This paper proposes a new approach to extract the lung region from the three dimensional color image of Frozen Human Body (Visible Human Male) based on watershed algorithm. Methods: After applying this algorithm to input image and getting the small regions, we merge these small regions into one region with three measures based on color, edge marker, and SURFACE respectively. Results: We can say that the smaller number of FALSE-POSITIVE and TRUE NEGATIVE voxels and the larger number of FALSE POSITIVE voxels are better result. Graph shows change in the number of voxel in above groups of the left lung detection when τ color change with τ em is 0.7. We think that the result at the range of τ color from 110 to 180 are better than the other results in Graph. Conclusion: Comparing with our previous work, we newly use Canny edge filter for edge marker and define SURFACE-based dissimilarity to relax the problem of its step. The users must select a point within the lung region and some thresholds (τcolor, τem, τhigh, τlow, σ) to detect the target region. (Journal of Korean Society of Medical Informatics 13-2, 171-176, 2007)
To Reveal the Performance Secrets of the Newest NN Searching Algorithm
Yaokai Feng,Kunihiko Kaneko,Akifumi Makinouchi 보안공학연구지원센터 2008 International Journal of Software Engineering and Vol.2 No.1
Nearest Neighbor (NN) search has been widely used in spatial databases and multimedia databases. Incremental NN (INN) search algorithm is regarded as the optimal NN search because of the minimum number of node accesses and it can be used no matter whether the number of objects to be retrieved is fixed or not in advance. This paper presents an analytical model for estimating performance of the INN search algorithm. For the first time, our model takes m (the number of neighbor objects reported finally), n (the cardinality of database) and d (the dimensionality) as parameters, focusing on the number of node accesses (not only the number of accessed leaf nodes) and the length of the priority queue. Using our model, dimensionality curse is mathematically revealed for an arbitrary number of NN objects retrieved. In our model, (1) for the first time, the two key factors of dm (the distance from the m-th NN object to the query point) and σ h (the side length of each node) are estimated using their upper bounds and their lower bounds, which is helpful to effectiveness of our model, especially in high-dimensional spaces; (2) for the first time, the possible difference of fanouts among the leaf nodes, the root node and the others is taken into account. The theoretical analysis is verified by experiments.