This paper aims to study the sizes of bubbles generated by the micro-bubble generator device (MBGs) in the water because of its impact on the dissolved oxygen percentage in the water and we find this in aquaculture wh...
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This paper aims to study the sizes of bubbles generated by the micro-bubble generator device (MBGs) in the water because of its impact on the dissolved oxygen percentage in the water and we find this in aquaculture where oxygen is important for marine life and in many applications. Where we have designed a classifier for micro-bubbles of different sizes and the effectiveness of the device has been proven in generating bubbles whose size ranges from 20 to 50 and calculating their numbers in the image by converting the image from (RGB) to (HSV), it has proven its effectiveness in maintaining lighting and neglecting color information Which is not important in identifying bubbles in the image, as well as increasing the processing speed, and then finding edges in the image, using canny edge detection, which has proven its great effectiveness in finding weak and strong edges. Where we then used the (Circular Hough Transform) algorithm to identify the tiny bubbles in the image, calculate their average diameter and numbers in the image, and find the overlapping bubbles between them by using (Two Thresholds) one for the edge and the other for the center of the bubble and then making (Segmentation) for these bubbles and inserting them on (Gaussian Normal Distribution) Do not neglect the dark bubbles, because in most cases they are unreal bubbles and may be distortions in the image or reflections in the lighting. And then make (zero paddings) for the extracted images to make them equal in size and avoid the distortion that will happen in the image if another method is used to make all bubbles of equal dimensions to prepare them for classification. And then we calculated the (mean square error) of the resulting bubble images to avoid repeating the same bubble in (datasets). The efficiency of the classifier was calculated by using deep learning technology. Where we built a (Convolution Neural Network) consisting of (15) layers and then we trained these layers on the images resul
This paper analyzes integral aspects of digital rights management and encryption that ensure the privacy of digital content to their owners. This is crucial for institutions such as the healthcare sector, where medica...
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The amount of electronics waste is increasing rapidly, and replacing traditional electronics materials with biodegradable alternatives is essential where possible. Four types of biodegradable substrates with 35 \mu \m...
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A rise in blood sugar (glucose) levels above normal ranges is the major sign of diabetes. Diabetes develops when the body's ability to absorb glucose into cells for energy declines, resulting in an accumulation of...
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The increasing use of electric vehicles (EV) presents significant challenges, particularly for the electrical infrastructure. The integration of a large number of electric vehicles (EVs) into current power grids invol...
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The effect of ferric oxide (Fe2/ O3) nanoparticle incorporation on the reliability of SAC305 solder alloy, in terms of electrochemical migration (ECM) behavior, was studied using water drop (WD) tests performed in a 0...
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The increasing use of solar rooftop photovoltaic (PV) systems has transformed the distribution network from a simple radial layout with a single power source to a more intricate structure with multiple power sources. ...
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Protecting intellectual property rights is vital in today's competitive business environment, especially for industries like construction, where blueprints and designs are precious. Two challenges arise: the absen...
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Tuberculosis (TB) has been known as the top two murdering disease worldwide after HIV/AIDS. Indonesia is the second country with the highest number of tuberculosis. One of the reasons for the high number of cases is t...
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Increasing energy consumption in East Kalimantan, driven by population growth and economic development, necessitates effective energy planning. This study projects electricity demand and evaluates CO2 emission reducti...
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