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Sundry circumstances influence on the photovoltaic (PV) performance, a ground albedo one of an important factor that effect on the PV panel work. This research study is to improving the output solar structures fixed on horizontal of the buildings of the even surface with adjustable roof albedo; this study incorporates integrating innovative PV and levelheaded surface techniques to boost the energy production of photovoltaic system. The modeling and simulation study were utilized as part of the system to examine the effectiveness of the solar structure installed on concrete horizontal even tiles structures with a roof albedo of 0.25, After that, white paint was applied to the concrete surface in front of the solar system to raise the albedo to 0.70. The important findings demonstrate that a rise in surface albedo from 0.25 to 0.7 will contribute to an increase in yearly solar PV power generation. The case study scenario in Al-Mussaib Technical College (L at 32° 46′ 59.99″ N, 44° 19′ 0.01 E), this paper will study the effects of two different materials top surface on the yield of PV module, for these studies, the PVSyst. program version 7.2 is utilized to analysis data from PV solar stand-alone systems.

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Over recent decades, updates in the field of the imaging of skin tumor lesions and biomedical sensing at the side of its related clinical implementations have attracted the attention of scientists. The major aim is to develop an artificial bee colony algorithmic and other approaches to propose different types of skin cancer lesion medical imaging, utilizing medical images achieved through different imaging methods. The artificial bee colony is frequently used to get highly accurate analysis, which supports the early detection of that which poses a threat to life, and, this method can be a good area to examine for future research. We compared the achievement of many works that were developed specially to detect the skin tumours lesion of healthy and unhealthy nevi after the use of methods and algorithms to obtain good processing results and discussed the relevant conclusions. The paper presents develop various classification, segmentation, methods and algorithms to recognize benign and malignant nevi to help make an expert decision on dermatology. These methods would allow not just earlier detection of skin cancer cases, however, decreasing of the number of unnecessary of steps in image processing and costly process.

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Methods of image processing can recognize the images of melanoma lesions border in addition to the disease compared to a skilled dermatologist. New swarm intelligence technique depends on meta-heuristic that is industrialized to resolve composite real problems which are problematic to explain by the available deterministic approaches. For an accurate detection of all segmentation and classification of skin lesions, some dealings should be measured which contain, contrast broadening, irregularity quantity, choice of most optimal features, and so into the world. The price essential for the action of progressive disease cases is identical high and the survival percentage is low. Many electronic dermoscopy classifications are advanced depend on the grouping of form, surface and dye features to facilitate premature analysis of malignance. To overcome this problematic, an effective prototypical for accurate boundary detection and arrangement is obtainable. The projected classical recovers the optimization segment of accuracy in its pre-processing stage, applying contrast improvement of lesion area compared to the contextual. In conclusion, optimized features are future fed into of artifical bee colony (ABC) segmentation. Wide-ranging researches have been supported out on four databases named as, ISBI (2016, 2017, 2018) and PH2. Also, the selection technique outclasses and successfully indifferent the dismissed features. The paper shows a different process for lesions optimal segmentation that could be functional to a variation of images with changed possessions and insufficiencies is planned with multistep pre-processing stage.