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RISS 인기검색어
- 검색키워드
- 주제어 : Multidimensional grids (검색결과 4 건)
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A Privacy-preserving Data Aggregation Scheme with Efficient Batch Verification in Smart Grid
( Yueyu Zhang ),( Jie Chen ),( Hua Zhou ),( Lanjun Dang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.2
This paper presents a privacy-preserving data aggregation scheme deals with the multidimensional data. It is essential that the multidimensional data is rarely mentioned in all researches on smart grid. We use the Paillier Cryptosystem and blinding factor technique to encrypt the multidimensional data as a whole and take advantage of the homomorphic property of the Paillier Cryptosystem to achieve data aggregation. Signature and efficient batch verification have also been applied into our scheme for data integrity and quick verification. And the efficient batch verification only requires 2 pairing operations. Our scheme also supports fault tolerance which means that even some smart meters don’t work, our scheme can still work well. In addition, we give two extensions of our scheme. One is that our scheme can be used to compute a fixed user’s time-of-use electricity bill. The other is that our scheme is able to effectively and quickly deal with the dynamic user situation. In security analysis, we prove the detailed unforgeability and security of batch verification, and briefly introduce other security features. Performance analysis shows that our scheme has lower computational complexity and communication overhead than existing schemes.
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장세명(S.M. Chang),필립 존 모리스(P.J. Morris) 한국전산유체공학회 2006 한국전산유체공학회지 Vol.11 No.4
In this paper, the authors developed a multidimensional interpolation method inside a finite volume cell in the computation of high-order accurate numerical flux such as the fifth order WEND (weighted essentially non-oscillatory) scheme. This numerical method starts from a simple Taylor series expansion in a proper spatial order of accuracy, and the WEND filter is used for the reconstruction of sharp nonlinear waves like shocks in the compressible flow. Two kinds of interpolations are developed: one is for the cell-averaged values of conservative variables divided in one mother cell (Type 1), and the other is for the vertex values in the individual cells (Type 2). The result of the present study can be directly used to the cell refinement as well as the convective flux between finer and coarser cells in the Cartesian adaptive grid system (Type 1) and to the post-processing as well as the viscous flux in the Navier-Stokes equations on any types of structured and unstructured grids (Type 2).
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Principal component pyramids for manifold learning in hand shape recognition
Mohamed Farouk,Alistair Sutherland 한국통신학회 2018 ICT Express Vol.4 No.2
This paper presents two algorithms using data pyramids for hand shape recognition in Irish Sign Language. Principal Component Analysis (PCA) is used as a feature extraction and dimensionality reduction method. Originally, the problem is nonlinear and it is hard for PCA to extract the underlying structure of the data. The proposed PCA pyramids provide an alternative to nonlinear PCA as they depend on dividing the space into subspaces which are approximately linear using the appropriate eigenspace in each level. They are used to accelerate the search process to approximate the nearest neighbour search problem. The first algorithm uses unsupervised multidimensional grids to cluster the space into cells of similar objects. The second algorithm is based on training a set of simple architecture multilayer neural networks. Experimental results are given to measure the accuracy and performance of the proposed algorithms in comparison with the exhaustive search scenario. The proposed algorithms are applicable for real time applications with high accuracy measures.
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Development of a 2-D flow solver on unstructured and adaptive Cartesian meshes
Min Kyu Jung,권오준 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.12
A two-dimensional flow solver using mixed grids has been developed for accurate and efficient simulation of steady and unsteady flow fields. The flow solver was cast to accommodate two different topologies of computational meshes: unstructured triangular meshes in the near-body region such that complex geometric configurations can be easily modeled, while unstructured adaptive Cartesian meshes are utilized in the off-body region to resolve the flow more accurately with less numerical dissipation by adopting a spatially high-order accurate scheme and solution-adaptive mesh refinement technique. The unstructured adaptive Cartesian meshes can be generated automatically and allow to handle data efficiently via quad-tree data structures. A chimera mesh approach has been employed to link the two flow regimes adopting each mesh topology. A second-order accurate vertex-centered scheme and a 3rd- or 5th- order accurate cellcentered WENO scheme has been utilized in the near-body region and in the off-body region, respectively. Validations were made for the unsteady inviscid vortex convection and the steady and unsteady turbulent flows over an NACA0012 airfoil, and the results were compared with other computational and experimental results.
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