We present AIDA*, a generic adaptable scheme for highly parallel iterative-deepening search on large-scale asynchronous MIMD systems. AIDA* is based on a data partitioning scheme, where the di erent parts of the search space are processed asynchronously in parallel. Existing sequential solution algorithms can be linked to the AIDA* routines to build a fast, highly parallel search program. Takin...

The high thermal efciency and reliability of the compression-ignition engine makes it first choice for many applications. For this to continue, a reduction pollutant emissions is needed. One solution use Machine Learning (ML) Model Predictive Control (MPC) minimize fuel consumption, without adding substantial computational cost controller. ML developed in paper both modeling performance imitati...

Membrane technology applied in the chemical and energy industry has the potential to overcome many drawbacks of conventional technologies such as the need of large volume plants and large CO2 emissions. Recently, it has been reported that this technology might become more competitive...

The subject of scientifc research is the and practical principles development various types agricultural enterprises in Ukraine. purpose article to substantiate conceptual directions production small, medium large war postwar period. data State Statistics Service Ukraine, regulatory acts Ukraine (abstract-logical, system approach, monographic, statistical-economic method) were used. Based on re...

The paper presents a full-featured simulation debugging system designed to test programmable controllers for automated process control systems in the laboratory. This imitates operating conditions of system, as close possible real at automation object. presented can form various levels interference input signals, influencing automatic with high-intensity network and impulse noise. also allows on...