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Fast Prototyping for Video Monitoring Systems with the Use of DSP Module

100%

Chmielewska A. , Weychan R. , Marciniak T. , Dąbrowski A. , Hartwich M. , Owczarczak M.

tom Vol. 59, No. 4

375-381

This paper presents techniques for fast prototyping of real-time hardware / software video processing systems for urban surveillance monitoring equipment. During the experimental research the evaluation module with the TMS320DM6437 signal processor programmed with the use of the Code Composer Studio and Matlab / Simulink environments has been used. Analyzed algorithms can support the work of monitoring video operators. In particular, we analyzed efficiency of implementation of the algorithms using two examples: detection of painting theft and signaling of crossing a pedestrian pass at the red light.

Information security company in a DoS (DDoS) attack

84%

Lahno V.

nr 3

The article to contain results of the researches, allowing to raise level of protection of the automated and intellectual information systems enterprises (AIS). The article discusses the use of discrete procedures to detect threats DoS (DDoS) attacks for information resources.

Статья содержит результаты исследований, позволяющие повысить уровень защиты автоматизированных и интеллектуальных информационных систем предприятий и компаний. В статье предложена модель системы поддержки принятия решений в случае выявления DoS (DDoS) атаки для варианта нечеткой входной информации.

A concept of detecting patient hazards during exoskeleton-aided remote home motor rehabilitation

67%

Wilk J. , Falkowski P.

2022

tom z. 197, t. 2

101-112

The paper presents a concept of detecting dangerous situations for the patient during exoskeleton-aided home remote rehabilitation. For this purpure, a literature review was conducted to define potential traumas with corresponding causes, measuring approaches and the method of modelling based on these two to assess the risk during treatment. The original concept is based on a numerically modelled digital twin of a patient and an exoskeleton. It consists of a multibody model of a skeletal system and the mechatronic device combined with the soft tissue advanced models. Moreover, the implementation of neural networks and biosignals tracking is suggested in order to predict hazards instead of just monitoring them in real-time. The presented solution can be created within the OpenSim environment. The advantages and challenges of this approach are also discussed.