The deep learning algorithm has recently achieved a lot of success, especially in the field of computer vision. This research aims to describe the classification method applied to the dataset of multiple types of images (Synthetic Aperture Radar (SAR
) images and non-SAR images). In such a classification, transfer learning was used followed by fine-tuning methods. Besides, pre-trained architectures were used on the known image database ImageNet. The model VGG16 was indeed used as a feature extractor and a new classifier was trained based on extracted features.The input data mainly focused on the dataset consist of five classes including the SAR images class (houses) and the non-SAR images classes (Cats, Dogs, Horses, and Humans). The Convolutional Neural Network (CNN) has been chosen as a better option for the training process because it produces a high accuracy. The final accuracy has reached 91.18% in five different classes. The results are discussed in terms of the probability of accuracy for each class in the image classification in percentage. Cats class got 99.6 %, while houses class got 100 %.Other types of classes were with an average score of 90 % and above.
This research has included quarterly and periodically physical and chemical analysis
of treatment wastewater in the rural areas of Latakia city during year 2011 by testing
three treatment plants similar in the mechanism of action and distributed in
three villages
(Happit, Al-Harah, Marg Moairban).
This study has included the measurement of temperature T, pH, and determination of
sodium, potassium, calcium concentrations, and sodium adsorbed rate (SAR).
This study was based on the potentiometrictechnic using Ion Selective Electrodes
(ISEs).
SAR measurements have shown that there are clear differences between autumn and
other seasons, and between treatment plants. The highest values was in the Happit
treatment plant in all seasons and the highest value was (88.25 mg/L) in the autumn which
is much larger than the allowable limit.
The highest concentrations of sodium ion were in the autumn in all treatment plants
(1002.67-7130.33) mg/L, which is off limits. As for the potassium ion concentration was
highest (72.46 mg/L) in Happit treatment plant in the autumn. While calcium ion
concentrations in Al-Harah treatment plant was exceeded (670.33-800.00) mg/L the
allowable limit in all seasons except the summer.
The statistical study has demonstrated and showed strongand sometimes weak
correlation coefficient R2 so that gives clear indications about the sources of pollution.
Recent studies on the effects of Electromagnetic fields on biomaterials is an active research area. These studies has not found yet the induce mutation mechanism in cells. In this paper, classical electromagnetic and Quantum Electrodynamics (QED) hav
e been
explained. An experimental study is made to investigates Bioelectromagnetics interaction with the aid of modern measuring and analysis systems. This effect has been simulated using computational system Technology (CST)software.
It was found that the Electromagnetic pulses could cause resonance at frequency range which is associated with maximum abso.
This experiment was conducted during ١٩٩٦-١٩٩٨ to ivestigate study the
effect of using different types of irrigation water on some soil properties and its
cotton, corn and wheat productivity under the agroclimatic conditions of Deir
Ezzor.
