Abstract:
If we neglect the value of historical fashions as a source of inspiration for
contemporary fashion designers we will neglect a treasure of original designs.
In neglecting such a treasure how could we then know what is original. Today
the most famous fashion designers are often inspired, in the outwardly from
and internal lines of their fashions, by fashion designed during the ages of the
past.
Designers can find such fashions in books of history and museums. But
the historical ages are not equal in the fertility of the originality and novelty of
their fashions. Thus the contemporary designer may not find the old designs
inspiring so he invents them.
The researcher was keen in this paper to include all the basic concept of
the art of patchwork 3? and she referred to the historical background of this
art as well as its common tools . She also referred to the art of embroidery
and beadwork ... etc.
To connect the pieces with this classy art (patchwork)/
She discussed some modern producing techniques such as computer. (The
study ends with conclusion that suggests designs of the art of patchwork. the
paper included io suggested designs.)
The study includes inventive ideas. In order words producing great variety
from one idea or design with great intellectual and expensive freedom and
flexibility in prescribing the creative ideas that are original.
The paper is of tow parts. First is the theoretical part which is chapter two
of the study that tackles the studies related to the subject mentioned above.
The practical part includes a brief explanation of the steps of producing the
designs and their supplements. This proves that the art of patchwork is a
beautiful art, fit for artistic designs. Hence such designs are not less important
and beautiful than other designs that are not based on patchwork.
The researcher likes to bring the old to the era of development and
technology to make use of it and crystallize our artistic talents.
Therefore the study aims to preserve the art of patchwork with the addition of
modern and artistic touches with little cost as much as possible.
In this work, a joint quadrature for numerical solution of the double integral is presented. This method is based on combining two rules of the same precision level to form a higher level of precision. Numerical results of the present method with a lower level of precision are presented and compared with those performed by the existing high-precision Gauss-Legendre five-point rule in two variables, which has the same functional evaluation. The efficiency of the proposed method is justified with numerical examples. From an application point of view, the determination of the center of gravity is a special consideration for the present scheme. Convergence analysis is demonstrated to validate the current method.
Lung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c
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