This research attend about Alienation form for ornament’s clouds in Quran, which includes four parts, the first part talks about the research problem, the researcher identified by following question :( what’s the Alienation form for ornament’s clouds in Quran?). And then the research importance. The research goal talks about Alienation form for ornament’s clouds in Quran. And also research borders, likes means objectives borders, places borders, As well as Terms Definitions, in second part talks about Theoretical framework and previous studies, includes two parts, the first one study Alienation form, meaning and understandable, the second one talks about Alienation form in Islamic arts, As well as the researcher find only one study has relation with this study, after that’s his foxing for Theoretical framework Indicators , the third part of this study talks about (research procedures), and then rely to Descriptive analytical method to analysis The samples, (4) (50%) Of the total (8) samples according to goal of research. Then find some Results Including:
1- The Alienation form can found it in the movement of snack like (1, 4) (50%), this type of cloud is characterized by giving manifestation physically and aesthetically distinct.
2- The Alienation form lobular Heart pinned like form (1, 2, 3) (75%).this type used for Repetition property.
3- The ornament’s cloud makes inverse rotation Organize like (S) letter in English (3) (25%).
4-The ornament’s cloud makes Free regulation (1, 3) (50%). This Organize has Diversity design, because Get rid of the monotony, to give the ornament’s clouds Exciting and attract the attention.
The Conclusions Including:
1- Employ the decorative for floral decorations Design, to add new decorative Reflect Functional and aesthetic results.
2- The Alienation form gives many design options to make good forms Compatible with Core Area. After the Conclusions, the researcher talks about Recommendations and suggestions
A novel design and implementation of a cognitive methodology for the on-line auto-tuning robust PID controller in a real heating system is presented in this paper. The aim of the proposed work is to construct a cognitive control methodology that gives optimal control signal to the heating system, which achieve the following objectives: fast and precise search efficiency in finding the on- line optimal PID controller parameters in order to find the optimal output temperature response for the heating system. The cognitive methodology (CM) consists of three engines: breeding engine based Routh-Hurwitz criterion stability, search engine based particle
swarm optimization (PSO) and aggregation knowledge engine based cultural algorithm (CA)
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