Titlebook: Stochastic Modelling in Innovative Manufacturing; Proceedings, Cambrid Anthony H. Christer,Shunji Osaki,Lyn C. Thomas Conference proceeding

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Russell C. H. Cheng b). Since N-FINDR was introduced, many SVA-based endmember-finding algorithms currently available in the literature are either derived from N-FINDR or modified as its variants. However, when N-FINDR comes to practical implementation, four major obstacles need to be overcome. One is the number of en

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Masaaki Kijima,Akihisa Tamuralaiming to be real-time are actually not for the following reasons. First, theoretically speaking, there are no such real-time processes in practice because computer processing time is always required and causes time delay. Second, a real-time process must be causal in the sense that no data sample

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E. J. Collinstime. Because CCVA can be derived from N-FINDR, it is expected that a similar approach can also be applied to SGA. This chapter develops a Growing Convex Cone Volume Analysis (GCCVA) approach, which is a parallel theory to SGA and can be considered to be a progressive version of CCVA in the same way

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Diastole

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Preamble

Mitsushi TamakiV), as discussed in Chap. 2, which poses a great challenge in designing any algorithms using a SV to find endmembers. This chapter develops an orthogonal projection (OP)-based approach to SGA, called OPSGA, which essentially resolves this computational issue. The idea is based on a geometric SV (GSV

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Tadashi Dohi,Takashi Aoki,Naoto Kaio,Shunji Osakie modeling and the influence of road unevenness on vehicle response. However, there is still roomto discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics...In this book, we use several generalized vehicle models to demonstrate the c