The neocognitron is an artificial neural network which applies certain aspects of the mammalian visual process to the task of 2-D pattern recognition. The resulting network model is complex in both structure and parameterization. We describe experiments which show that the performance of the neocognitron is sensitive to certain parameters whose values are seldom detailed in the relevant literat...

We investigated the aluminum nitride etching process for MEMS resonators. The process is based on Cl2/BCl3/Ar gas chemistry in inductively coupled plasma system. The hard mask of SiO2 is used. The etching rate, selectivity, sidewall angle, bottom surface roughness and microtrench are studied as a function of the gas flow rate, bias power and chamber pressure. The relations among those parameter...

We demonstrate the deterministic shape-selective synthesis and growth of CdSe nanowires, nanosaws and nanoribbons by a simple vapour-transport process in a tube furnace. The key step, in order to achieve reproducible shape selectivity for a given set of deposition parameters, is to exclude any effects of the temperature ramping. We prove that an efficient precursor-flow shutter is achieved just...

High-quality single-walled carbon nanotubes (SWCNTs) have been synthesized from H2–CH4 mixtures on a MgO-supported bimetallic Mo/Co catalyst using microwave plasma-enhanced chemical vapor deposition (PECVD). Reaction parameters including temperature, H2:CH4 ratio, plasma power, and synthesis time have been examined to assess their influence on SWCNT synthesis. Raman spectroscopy and high-resolu...

The influence of some important experimental parameters on the resolution of compounds as well as the validity of widely used rules of thumb and of common expectations about how to improve resolution is discussed. It will be shown, on the basis of selected examples, that the general expectations about how the experimental parameters have to be adjusted for better resolution does not cover all c...

In this paper, we compute the scattering matrix for the Hilbert modular group over any number field K. We then express the determinant of the scattering matrix as a ratio of completed Dedekind zeta functions associated to the Hilbert class field of K. This generalizes work of Efrat and Sarnak [ES] in the imaginary quadratic case.

Predictive selectivity modelling is used to study fishing gear selectivity. These models rely on fish morphology parameters and fall-through experiments. Here, we developed a model of the mechanical interaction between netting mesh during an escape attempt. In this model, described with three parameters: first parameter measures its ability penetrate others are body stiffness coefficients accou...

Modeling and performance of on-chip spiral inductors is presented. Y-parameters are obtained from the measured S-parameters of the inductor fabricated in 0.35-μm SOI CMOS technology. Matlab is used to get the π-equivalent circuit model parameters at each frequency point. The SOI CMOS inductor shows better performance characteristics in terms of Q-factor and self-resonance frequency.