A prototype of electronic nose (e-nose) with the gas sensor system for evaluation of fresh chicken meat freshness was developed. In this paper a rapid, simple and not expensive system for fresh chicken meat spoilage detection was investigated that provides objective and reliable results. Quality changes in fresh chicken meat during storage were monitored by the metal oxide sensor (MOS) system and compared with the results of traditional chemical measurements. Gas sensor selection was tested for evaluation of volatile fatty acids (VFA) mainly representing meat spoilage.The study demonstrated that a correlation coefficient (R<sup>2</sup> = 0.89) between e-nose signals and traditional chemical method was high. These results prove that the developed e-nose prototype has a potential for assessing fresh chicken meat freshness and allows discriminating meat into fresh, unsafe and spoiled.
In this Letter, a magnetic near-field probe aimed for improvement of the spatial resolution of radiated susceptibility mapping over the 80-3000 MHz frequency range is presented. The magnetic field simulation of the standard and the improved probe was performed and the measurement results for both probes are presented. The spatial resolution improvement of up to 47% was shown by modelling. The measured resolution improvement of 38.5% confirmed the enhanced localisation of susceptible RF PCB areas using the proposed probe.
Automatic cab signaling system used in Lithuanian Railways is uninterruptible signaling system used to transmit the information about an allowable train speed to a cab driver. The performance of this system can be disturbed by various sources of disturbances. One of the main sources is a magnetization of rails. So far there were no other methods to evaluate disturbances that can cause signaling system errors than going by train and monitoring traffic-light signals in a cab. Therefore a system to record signaling system signals was created and a method to process the signals was proposed. The method can be used to make a signal processing and decoding of the previously decoded signals. Furthermore, the proposed algorithm uses slightly different method of signal processing and is potentially more immune to disturbances caused by the rail magnetization. The proposed algorithm was used to process the real signaling system signals. The signals were recorded on a route by going on an electric train. The main results of processing and potential places of disturbances have been shown. The advantage of the proposed algorithm over the currently used one need to be investigated in further research.
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