We describe an analog VLSI implementation of a multi-dimensional gradient estimation and descent technique for minimizing an onchip scalar function fO. The implementation uses noise injection and multiplicative correlation to estimate derivatives, as in [Anderson, Kerns 92]. One intended application of this technique is setting circuit parameters on-chip automatically, rather than manually [Kir...

We present an approach for a generic, multi-dimensional run-time data structure suitable for high-performance scientific computing in C++. Our concept for associating meta-information with the data structure as well as different underlying datatypes is depicted. High-performance, multi-dimensional data access is realized by utilizing a heterogenous compile-time container generation function. Th...

Warp and weft spacing and its coefficient of variation affect the physical properties of fabrics such as fabric hand, frictional and mechanical properties. In this paper the weft and warp spacing and its coefficient of variation for plain weave is calculated using Fourier transforms. Different methods have been used in this work including autocorrelation function. First, two dimensional power s...

Warp and weft spacing and its coefficient of variation affect the physical properties of fabrics such as fabric hand, frictional and mechanical properties. In this paper the weft and warp spacing and its coefficient of variation for plain weave is calculated using Fourier transforms. Different methods have been used in this work including autocorrelation function. First, two dimensional power s...

Multi-dimensional Fuzzy differential equations driven by multi-dimensional Liu process, have been intensively applied in many fields. However, we can not obtain the analytic solution of every multi-dimensional fuzzy differential equation. Then, it is necessary for us to discuss the numerical results in most situations. This paper focuses on the numerical method of multi-dimensional fuzzy differ...

2 This paper proposes a method for visualizing three-dimensional (3D) microscopic images using feature space reduction. Conventional visualization methods using multi-dimensional transfer function have difficulty in displaying feature space in high dimension and in setting transfer function. Our methods use principle component analysis (PCA) for feature space reduction to support XVHU¶V H[SORUD...