Application Note ( A 14 ) A guide to photometry and visible spectroradiometry

Dynamic Obstacle Avoidance by Distributed Algorithm based on Reinforcement Learning (RESEARCH NOTE)

In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...

Application of guide blades for improving performance of savonius wind turbine

Application of guide blades is an appropriate method for improving aerodynamic performance of savonius wind turbine. Guide blades gather the wind energy around the turbine and guide them into the concave side of savonius rotor. In this paper, numerical investigation is conducted for evaluating effect of the guide blades on the performance of savonius turbine. Aerodynamic performance of the turb...

Synthesis, Characterization, and Application of Zr,Ce-TiO2/SiO2 Nanocomposite Thin Film as Visible-light Active Photocatalyst

A novel Zr,Ce-TiO2/SiO2 nanocomposite thin film was successfully prepared with various amounts of Zr4+ and Ce4+ as codopant ions for self-cleaning applications. A thin film was coated on a tile substrate by dip-coating and porous Zr,Ce-TiO2/SiO2 was obtained after heat treatment for 2 hours at 500 °C. The SEM images an...

Demystifying EPR: A Rookie Guide to the Application of Electron Paramagnetic Resonance Spectroscopy on Biomolecules

Electron Paramagnetic Resonance (EPR) spectroscopy, also known as Electron Spin Resonance(ESR) especially among physicists, is a strong and versatile spectroscopic method forinvestigation of paramagnetic systems, i.e. systems like free radicals and most transition metalions, which have unpaired electrons. The sensitivity and selectivity of EPR are notable andintriguing as compared to other spec...

GMDH Type Neural Networks and Their Application to the Identification of the Inverse Kinematics Equations of Robotic Manipulators (RESEARCH NOTE)