Odor Removing Materials Using Artificial Enzymes

Artificial Enzymes

Artificial enzymes.

Simple chemical catalysts have been designed to achieve some desirable features of enzymes. These novel catalysts are not proteins, but they may incorporate the typical enzyme catalytic groups and they achieve selectivity in their reactions by use of geometric control, as do enzymes. Catalysts that carry out geometrically controlled chlorinations of aromatic rings and steroids have been constru...

Artificial multilayers and nanomagnetic materials

The author has been actively engaged in research on nanomagnetic materials for about 50 years. Nanomagnetic materials are comprised of ferromagnetic systems for which the size and shape are controlled on a nanometer scale. Typical examples are ultrafine particles, ultrathin films, multilayered films and nano-patterned films. In this article, the following four areas of the author's studies are ...

Towards Removing Artificial Landmarks for Autonomous Exploration in Structured Environments

This research takes one step towards using naturally-occurring and automatically detected features present in a structured environment for map building. We present a simple real-time algorithm for solving the vision task of extracting interesting cues from the environment, to be used as landmarks. The landmarks are used in a simultaneous localization and mapping (SLAM) algorithm based on an ext...

FIR Cutoff Frequency Calculating for ECG Signal Noise Removing Using Artificial Neural Network

In this paper, an automated approach for electrocardiogram (ECG) signal noise removing using artificial neural network is investigated. First, 150 of noisy heart signal are collected form MIT-BIH database. Then signals are transformed to frequency domain and cutoff frequency is calculated. Since heart signals are lowpass frequency, a Finite Impulse Response (FIR) filter is adequate to remove th...