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This article investigates the effects of electromagnetic field (EMF) from mobile phones on human tissues and implanted medical devices. The intensity of the electric field (E) is evaluated based on simulations and measurements of various exposure scenarios. An area of interest is the case of a person with an implanted device (heart pacemaker) who may be affected by this exposure. Due to the rapid development of communication technologies and the growing awareness of the potential health risks of radio frequency (RF) EMF, the International Commission on Non-Ionizing Radiation Protection (ICNIRP) has established exposure limits within the European Union. Our study models and analyses EMF values in human tissues in an ideal environment, in a situation where a person uses a mobile phone in the DCS (Digital Cellular System) band, including the case of a person with an implanted pacemaker. Pilot simulations were verified by experimental measurements. Based on them, specific human models with the best matching results were selected for modelling other possible interactions of exogenous EMF and cardiac pacemaker in the same situations and locations. [ABSTRACT FROM AUTHOR]

The presented paper is further focused on the presentation and subsequent assessment of utilising a proposed Neural Network (NN) with simple architecture in the role of a signal preprocessing algorithm for the Constant False Alarm Rate detector and the fixed threshold detector applied on a Range‐Doppler (RD) map with the aim of radar clutter impact reduction and minimisation of processing time. Based on a comparison of all tested algorithm results, it is possible to state that utilising the proposed NN with simple architecture led to reducing the impact of radar clutter when detecting radar targets on RD maps created from provided datasets. Comparing the mean processing time tmean values of all tested algorithms, the authors can state that employing the proposed NN in combination with the fixed threshold detector led to a significant improvement in the computation time needed for processing one RD map while preserving the suppression of radar clutter and detection of the radar targets. [ABSTRACT FROM AUTHOR]

Intelligence as a warfighting function is a continuous process. It is carried out before planning the mission, during the preparation of the mission, and during its execution as well. The results of the intelligence warfighting function enable commanders to predict the course of action for potential threats and facilitate the commander´s decision-making process. If intelligence information is derived from foreign communication (Communication Intelligence) and noncommunication (Electronic Intelligence) electromagnetic radiations by other than intended recipients, we are speaking about Signals Intelligence. Communication and noncommunication foreign emitters might be also denoted as Radio-Electronic objects. This paper presents an algorithm for analysis of some relevant energetic proportions of a skywave propagation, with consideration of Electronic Intelligence in the high-frequency band. In terms of Electronic Intelligence, Radio-Electronic object is represented by the Over-The-Horizon radar. [ABSTRACT FROM AUTHOR]