A rational design of economically cost-effective chemical libraries as well as successful data mining during a process of drug discovery employs a vast array of the molecular descriptors. Despite the huge importance of this area of the research there is still a need for the further development of the simple, intuitive, easily calculable, specific and size-invariant parameters of the molecular s...

Network servers often need to process a large amount of network events asynchronously. They usually use select() or poll() to retrieve events from file descriptors. However, previous researches have shown that these system calls scale poorly when the number of open connections are significantly increased. Several kernel-level solutions have been proposed. In this paper, we first compare several...

This work demonstrates a new approach to video temporal segmentation into scenes. The utilized technique is based on an audio-visual extension of the well-known method of the Scene Transition Graph (STG). This multi-modal extension exploits both lowand high-level audio-visual descriptors to construct distinct STGs. These STGs are employed into a probabilistic framework that is used for estimati...

A new approach, based on control charts, is presented for the task of recognition of events and scenarios in video image sequences. For each image in the sequence, low level image processing and feature extraction steps result in feature descriptors for objects of interest detected in the images. Control charts analysis is then explored to classify the nature of the activity depicted by the tem...

Network servers often want to process network events asynchronously. They use select() or poll() to get events on file descriptors. However, previous research has shown that these two system calls scale poorly when the number of open connections are increased. In this paper, we compare several event dispatching mechanisms available under Linux, and present our user-mode solution that takes adva...

The aim of this presentation is to analyse possibility of using the newly elaborated infrared imaging procedures called the Active Dynamic Thermography (ADT) for quantitative diagnostics and evaluation of wound healing processes in cardiosurgery. Classical thermal figures of merit as well as new descriptors are compared from the point of view of objective, quantitative estimation of wound state...

The second chapter provides a deep overview of the basic visual feature extraction and description methods and approaches in the literature for images as well as for spatio-temporal data analysis. The chapter aims to clarify the process of the main recognition steps of detection and description of image. Interest point detection approaches, point-based and region-based detectors, the spatiotemp...

Carotid arteries are a common site of atherosclerotic lesion development. Computational fluid dynamics models suggest that flow disturbances associated with stenosis can contribute to the initiation and progression of vascular wall pathologies. The main goal of this study is to present an investigation on the overall influence of assumptions regarding the outflow boundary conditions in hemodyna...

The performance of electronica by Disc Jockys (DJs) presents a unique opportunity to develop interactions between performer and music. Through recent research in the MIR field, new tools for expanding DJ performance are emerging. The use of spectral, loudness, and temporal descriptors for the classification of electronica is explored. Our research also introduces the use of a multitouch interfa...

-Markovsemantic indexing algorithm based on the controlled Markov chain modeling framework. Controlled Markov chain models are used to describe the temporal evolution of low-level visual descriptors extracted from the semantic indexing model. Propose a semantic indexing algorithm which uses both text and image retrieval system.The entire user Queries selected by randomly. An image retrieval sys...