Smart adaptive systems provide advanced tools for monitoring, control, diagnostics and management of nonlinear multivariate processes. Data mining with a multitude of methodologies is a good basis for the integration of intelligent systems. Small, specialised systems have a large number of feasible solutions, but highly complex systems require domain expertise and more compact approaches at the...

Many enterprises that participate in dynamic markets need to make product pricing and inventory resource utilization decisions in real-time. We describe a family of statistical models that address these needs by combining characterization of the economic environment with the ability to predict future economic conditions to make tactical (short-term) decisions, such as product pricing, and strat...

Automatic image annotation (AIA) deals with the problem of automatically providing images with labels/keywords that describe their visual content. Unsupervised AIA methods are often preferred because they can annotate (virtually) any possible concept to images and do not require labeled data as their supervised counterparts. Unsupervised AIA methods use a reference collection of images with ass...

Modelling of thermo-mechanical processes in the metal industry has attracted much research interest over many years. As more and more insight is gained, there is a growing demand for through-process integrated thermo-mechanical process models to predict the microstructure evolution and the mechanical properties of the product during the whole production cycle. The main benefit of such an integr...

Abstract In this paper, intelligent control approaches are introduced to overcome the problems highlighted in the standard Smith predictor. First, in order to overcome the steady state error in the Integrator Plus Dead Time (IPDT) process control due to disturbance loading, a new fuzzy logic control based SP is developed by intentionally introducing a model mismatch to improve the system perfor...

The article considers multi-agent systems, their use, their development process and operation. The study is aimed at modelling mechanisms for multi-agent systems agents’ generation, based on intelligent techniques. Agents’ generation method development will reduce development time and, just as importantly, will provide opportunities for the multi-agent systems expansion due to the generated com...

A framework of stochastic multilevel programming is proposed for modelling decentralized decision-making problem in stochastic environment. According to different decision criteria, the stochastic decentralized decision-making problem is formulated as expected value multilevel programming, and chanceconstrained multilevel programming. In order to solve the proposed stochastic multilevel program...

This paper presents the main directions in the development of machine tools and the practical implementations of new technologies by machine tool producers, aimed at meeting the business requirements. The possibilities of applying intelligent functions in high-performance machine tools and the trends in the development of intelligent machine tools are discussed. The vital importance of the holi...

Integration of the operator’s haptic sensory modality in microrobotic cell injection offers immense benefits over conventional techniques. In particular, the haptically enabled system should be able to manipulate the microrobot in micro resolution. This requires a precision control strategy capable of tracking the trajectory mapped from the haptic side. As the system has an unknown internal str...

The ANS is a ubiquitous computing management tool, designed to mimic the Autonomic Nervous System of living creatures. Its job is to manage an intelligent distributed environment for e-medicine applications. The homes’ computing power consists of many computing units of varying capacities (e.g. sensors). To seamlessly plug/unplug units into the environment requires that the system have a high d...