Noise prevailing in the image can diminish the physical appearance of the objects existing within the image and make them frail. Present research emphasizes a fuzzy inference system eradicating several types of noise from the images. The investigation implies the utilization of different levels of Salt & Pepper noise. Followed by the pixel determination applying a mask, the disparity between the focused pixel's intensity with the minimum, average, and maximum power of the chosen window has been determined. Since two fuzzy valued outputs have been obtained to match them, the one provided by a low noise rate would demonstrate the more accurate filter for the selected window. Utilizing Matlab the Peak Signal-to-Noise ratio (PSNR) and Mean Square Error (MSE) are determined for evaluating the noise reduction performance. However, these values of PSNR and MSE obtained from this research are also compared with the conventional fuzzy filtering system.
Flooding is a crucial concern for creating substantial economic and social impacts for different regions of Bangladesh. The country's geographical location makes most of the area highly vulnerable to floods. Despite people's suffering during flood conditions, comprehensive research on developing an automotive flood intimation system is inadequate. Flooding is the inundation of water onto land that is normally dry, followed by rain, snow, coastal storms, storm surges, overflows of rivers, and dam failure. Early detection of rising water levels may reduce the damaging impact of floods and also allow adequate time to develop integrated flood adaptation and management mechanisms. Therefore, this study proposed an automated flood intimation system using Arduino. The system integrates the feature of determining three distinct parameters involving temperature, humidity, water level, and wind speed. The design emphasized the early detection of rising water levels and provided the necessary acknowledgement to reduce the impact of floods. Post-flood effects involve water pollution, water-borne diseases, and other epidemics in flood-affected communities. Hence, the proposed system might be helpful for proper support management during natural calamities like floods to reduce the suffering of people.
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