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.
The specimens of Camponotusxerxes Forel, 1904 were collected from different localities in Iraq; the purpose of morphological study of this species in details throughout the present study.
The description was based on major workers belonging to this species, also some notes of polymorphism in workers have been mentioned; the most important of morphological features are illustrated and figured.
Let R be a 2-torision free prime ring and ?, ?? Aut(R). Furthermore, G: R×R?R is a symmetric generalized (?, ?)-Biderivation associated with a nonzero (?, ?)-Biderivation D. In this paper some certain identities are presented satisfying by the traces of G and D on an ideal of R which forces R to be commutative
With the increased development in digital media and communication, the need for methods to protection and security became very important factor, where the exchange and transmit date over communication channel led to make effort to protect these data from unauthentication access.
This paper present a new method to protect color image from unauthentication access using watermarking. The watermarking algorithm hide the encoded mark image in frequency domain using Discrete Cosine Transform. The main principle of the algorithm is encode frequent mark in cover color image. The watermark image bits are spread by repeat the mark and arrange in encoded method that provide algorithm more robustness and security. The propos
... Show MoreImage capturing in most still and motion digital cameras employs a charge coupled device covered with a monolithic array of color filters such that each pixel samples only one color band. Interpolation is necessary to restore the missing color samples in the resulting mosaic, this process referred to as demosaicking.
This paper gives an overview of demosaicking, presents few
methods proposed in the  
... Show MoreOne of the significant stages in computer vision is image segmentation which is fundamental for different applications, for example, robot control and military target recognition, as well as image analysis of remote sensing applications. Studies have dealt with the process of improving the classification of all types of data, whether text or audio or images, one of the latest studies in which researchers have worked to build a simple, effective, and high-accuracy model capable of classifying emotions from speech data, while several studies dealt with improving textual grouping. In this study, we seek to improve the classification of image division using a novel approach depending on two methods used to segment the images. The first
... Show Morehe research aims to determine the competencies that must be met in the digital media literacy curriculum, which contributes to a great extent in developing the skills of criticism and analysis of the media contents of the students. The study of the two researchers according to the methodology of the media survey. The research tools were: the questionnaire tool, which distributed on 86 . The main objectives of the research were:
1. Knowing the best strategy in teaching the digital media literacy curriculum.
2. Knowing which education fits the digital media literacy curriculum.
3. Identifying the cognitive, educational, media, technical skills, and emotional competencies required for the digital media literacy curriculum from the
This study proposed using color components as artificial intelligence (AI) input to predict milk moisture and fat contents. In this sense, an adaptive neuro‐fuzzy inference system (ANFIS) was applied to milk processed by moderate electrical field‐based non‐thermal (NP) and conventional pasteurization (CP). The differences between predicted and experimental data were not significant (