Picasso ceramics represented illuminated sign in ceramic art and excelled in accord ceramic art dimension aesthetically, and put it in a new prospects, despite the simplicity of the forms turn into a magical images and multiple interpretations.
So the search deliberately to choose purposive (37) samples divided into four groups, as follows: -
A flat shapes / palets or saucers / the vases /modified vases .
benefiting from indicators were spawned from literature ,to analyzing samples within the totals for the identification systems act forming art work`s:-
(1)Picasso's ceramic work product of a deliberate process represented a capacity of technical experience, and formal
(2)The system configuration in the ceramic art works carried out in a form having (two or more) systems act`s in the same time, with the Dominance of one without the other, as follows:
(A) in the sample flat shapes, we find that there are three systems moved shapes, the system (Stenography) is dominant in addition to the system (geometrical), and (narrative), which contrast attending
(B) the system (regular narrative) essential front-line state in the forms in palets, and (Stenography) system Secondly supplement to image.
(C) in vases formed by wheel which dominates the (iconic character) of form, the system (magnifying) is prevailing with a (Stenograph) as a systematic art forming.
(D) in developed vases, the artist Override the (traditional) form to get a new relations (innovative), dominated by (Stenography) Producing shapes and (aesthetic)system of forms and line, and color in this group
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The performance grading system (superpave) has provided means to incorporate binder characteristics with
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system for Iraq based on the principal of superpave. The country was divided into different zones according
to the highest and lowest temperature ranges and traffic loading. The Performance graded binder proposed
for each zone was compared with some States of USA that have same hot weather of Iraq by using Long
Term Pavement Performance (LTPP v3.1) software. Iraqi asphalt samples were tested using the Supe
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A Wearable Robotic Knee (WRK) is a mobile device designed to assist disabled individuals in moving freely in undefined environments without external support. An advanced controller is required to track the output trajectory of a WRK device in order to resolve uncertainties that are caused by modeling errors and external disturbances. During the performance of a task, disturbances are caused by changes in the external load and dynamic work conditions, such as by holding weights while performing the task. The aim of this study is to address these issues and enhance the performance of the output trajectory tracking goal using an adaptive robust controller based on the Radial Basis Function (RBF) Neural Network (NN) system and Hamilton
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