Arabic calligraphy is one of the greatest achievements of Islamic art. The visual form of Arabic calligraphy is the primary means of presenting ideas and messages for expressive communication in Arabic typefaces. Emerging computer technology with calligraphy is essential for effective visual designs; however, traditional typefaces are insufficient in number and quality to fulfill the requirements of the current Saudi industry. Thus, this research investigates the processes followed by graphic designers to create modern Arabic type designs inspired by Arabic calligraphy, and presents the characteristics of Arabic calligraphy. The research implemented a mixed experimental and descriptive method, exploring 10 typefaces designed by professional graphic designers; 1) Hudhud font; 2) Thuraya font; 3) Greta Arabic font; 4) Fedra Arabic font; 5) Mishmish font; 6) Muzakhraf font; 7) Arabic@Cooper; 8) Arabic Handwritten; 9) Jude font; 10) Arabic Didot. The font analysis includes the criteria: 1) details about the designer; 2) the font inspiration; 3) the font style; and 4) uses. As a result, the research presents a set of guidelines for the designers to develop modern Arabic type designs inspired by Arabic calligraphy.
The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for
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