many painters tried to mix colors with Music by direct employment through colorful musical pieces or the use of multiple instruments and techniques , or vice versa, including the French artist )Robert Stroben(, he transferred the piece of music to be depicted on the painting and worked on the tones of music (Johann Sebastian Bach) by dropping the color on the lines of the musical scale, for example (the C tone) ranging from brown to red ( Tone La A) from gray to orange, and so on, the presence of links and similarity factors between the world of music and the world of colors facilitated the process of linking musical notes with colors, the most famous of which was presented by the world (Newton) in the circle of basic colors and linking them with musical notes (Du tone = violet color) - (Ri tone = indigo color) - (Mi tone = blue color) - (Fa tone = green color) - (Sol tone = yellow color) - (La tone = orange color) - (C tone = red color). But this circuit is not enough in converting the musical note to a specific color. It is one of the basics of musicology. The notes are repeated in every (octave) but by increasing the speed of their frequencies. The melodies are based on the major scales, which seem bright, cheerful and optimistic, while the minor scales (miner) seem bleak. Serious and sad. This is what the German scientist (Goethe) sees as there is a similarity between the two worlds of colors and music. In the “melody field” we find the two musical scales (small and large) or what is known as (major and minor), and he sees the contrast between them in the “color field” in degrees of lightness and darkness. On the other hand, we find that colors differ in their energies according to color, as the scientist (Munsel) introduced the color measurement system through (the color is H, the amount of its saturation S and the amount of luminance v), and when creating a (Munsell) of colors, we find that it is not symmetrical, so pure, saturated red extends farther From the central axis about greenish-blue, as well as for the value (V), the blue-purple colors reach their full saturation when the value (V) is very low, and some colors such as yellow retain a high value (V) and high saturation. Therefore, the result of a (genus) is a three-dimensional quasi-spherical solid. According to the above, a color model representing the musical notes was formulated according to their position from the octave and according to their presence in a high or low scale, and the frequency of the sound wave was calculated, corresponding to the amount of the corresponding light wave frequency divided by (terra) /(107) multiplied by x(1.05) And it was applied in the samples of this research.
Steganography is defined as hiding confidential information in some other chosen media without leaving any clear evidence of changing the media's features. Most traditional hiding methods hide the message directly in the covered media like (text, image, audio, and video). Some hiding techniques leave a negative effect on the cover image, so sometimes the change in the carrier medium can be detected by human and machine. The purpose of suggesting hiding information is to make this change undetectable. The current research focuses on using complex method to prevent the detection of hiding information by human and machine based on spiral search method, the Structural Similarity Index Metrics measures are used to get the accuracy and quality
... Show MoreMillions of lives might be saved if stained tissues could be detected quickly. Image classification algorithms may be used to detect the shape of cancerous cells, which is crucial in determining the severity of the disease. With the rapid advancement of digital technology, digital images now play a critical role in the current day, with rapid applications in the medical and visualization fields. Tissue segmentation in whole-slide photographs is a crucial task in digital pathology, as it is necessary for fast and accurate computer-aided diagnoses. When a tissue picture is stained with eosin and hematoxylin, precise tissue segmentation is especially important for a successful diagnosis. This kind of staining aids pathologists in disti
... Show MoreThe aim of this paper is to find out the effects of the strategy of productive thinking upon the student’s achievement for the subject of research methodology in the College of Islamic Sciences. Achieving this objective, the researchers set the null hypotheses: (1) No difference is noticed to be statistically significant at the level of significance (0.05) among the student’s mean scores in the experimental group who were taught by the strategy of productive thinking, and the student’s mean scores in the control group who studied by the traditional method in the achievement test. (2) At level of sig. (0.05), there is no statistically significant difference in the mean of scores of the pre-tests and post ones in the achievement test of
... Show MoreThe aim of this paper is to find out the effects of the strategy of productive thinking upon the student’s achievement for the subject of research methodology in the College of Islamic Sciences. Achieving this objective, the researchers set the null hypotheses: (1) No difference is noticed to be statistically significant at the level of significance (0.05) among the student’s mean scores in the experimental group who were taught by the strategy of productive thinking, and the student’s mean scores in the control group who studied by the traditional method in the achievement test. (2) At level of sig. (0.05), there is no statistically significant difference in the mean of scores of the pre-tests and post ones in the achievement test of
... Show MoreThis study employs evolutionary optimization and Artificial Intelligence algorithms to determine an individual’s age using a single-faced image as the basis for the identification process. Additionally, we used the WIKI dataset, widely considered the most comprehensive collection of facial images to date, including descriptions of age and gender attributes. However, estimating age from facial images is a recent topic of study, even though much research has been undertaken on establishing chronological age from facial photographs. Retrained artificial neural networks are used for classification after applying reprocessing and optimization techniques to achieve this goal. It is possible that the difficulty of determining age could be reduce
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