Mobile robot control by neural networks using self-supervisedlearning

A reinforcement learning algorithm based on supervised learning is described. It uses associative search to discover and learn actions that make the system perform a desired task. One problem with associative search is that the system's actions are often inconsistent. In the searching process, the system's actions are always decided stochastically, so the system cannot perform learned actions more than once, even if they have been determined to be suitable actions for the desired task. To solve this problem, a neural network that can predict an evaluation of an action and control the influence of the stochastic element is used. Results from computer simulations using the algorithms to control a mobile robot are described     

Distribution of vanadium and nickel in crudes from the Prorva zone of Kazakhstan

Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 12, pp. 15–16, December, 1992.     

Indexed in current contents

Indexed in current contents     

SIMULATION OF THE DRY GRANULAR MEDIA BEHAVIOUR ON VIBRATING BED

The method of mathematical modelling of dry granular media behaviour is proposed that takes into consideration the changes in the material volume concentration. The model includes equations of continuous medium mechanics, laws of concervation of mass and momentum and rheological equation. Differential equations are integrated by the method of large particles-in-cells. The developed technique allows to study dry granular materials behaviour on vibrating bed and to evaluate momentary and average for the period of oscillations density of the material, as well as the critical frequency forming the vibroboiling layer, instantaneous and average rate of vibrotransportation and energy characteristics of the drive of a vibromachine.     

Effect of temperature on the corrosion of refractories in glass melts (Review)

Translated from Steklo i Keramika, No. 12, p. 12–14, December, 1991.     

Fast approximate analysis for token passing LAN protocol with asymmetrically distributed traffic loads

A new approximate analytical expression for the mean packet delay for a non-exhaustive token passing LAN is derived and compared with discrete event computer simulation. The computational problems associated with the exact and other approximate treatments are avoided because the need to solve a system of simultaneous equations is removed.<>     

A first-order current-steering sigma-delta modulator

A new architecture is presented for a first-order sigma-delta (ΣΔ) modulator. The system achieves a high sampling frequency, can be used as a building block for higher-order modulators, and uses circuit techniques that are largely independent of a specific technology. The key features of this implementation are that it operates in a continuous-time (as opposed to switched) mode and does not need feedback amplifiers. To test the validity of the concept, the system was realized in 2-μm, n-well, double-metal, single-poly technology. It has a measured resolution of 9 b and a linearity of 13 b at a clock frequency of 20 MHz with an oversampling ratio of 128. It operates from a power supply of ±2.5 V with a power consumption of 3 mW. The circuit occupies an area of 0.92 mm²     

45% efficient silicon photovoltaic cell under monochromatic light

Improvements in the performance of silicon photovoltaic cells for solar applications are adapted for nonsolar photovoltaic applications. Improved monochromatic light efficiencies above 45% are reported including efficiencies close to 40% for relatively long-wavelength (1.064 μm) light as produced by neodymium-doped yttrium-aluminum garnet (Nd:YAG) lasers