The study problem is about the role of Shaqra University in building the mental image of the Kingdom’s 2030 vision among its female students. The study aims to examine the university’s role in providing information about the Kingdom’s 2030 vision, its role in shaping the vision’s image, the university’s role in the behavioral aspect of the vision, along with studying the extent of differences in answers of the sample individuals towards the study themes attributed to the personal variables. The researcher adopted the descriptive survey method. A sample of (1399) female students was used to achieve the study objectives. The results showed that university’s role in building the mental image of the Kingdom’s 2030 vision, among its students in general, was mediocre from the sample’s point of view, for the three themes: providing information about the Kingdom’s vision 2030, forming the image of the Kingdom’s vision, and the university’s role in the behavioral aspect of the Kingdom’s vision 2030. It found also that there are no statistically significant differences between the study sample answers in terms of the three study themes, due to the number of academic years that have been spent at the university so far. There are no significant differences between the sample in the three study themes, depending on the faculty variable (scientific-practical). There are significant differences between the samples in the three study themes, depending on two variables: the extent to which the college assigns the sample to any work related to the Kingdom's vision 2030, and the acquisition of information through the study at the college about the Kingdom's 2030 vision.
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With the continuous progress of image retrieval technology, the speed of searching for the required image from a large amount of image data has become an important issue. Convolutional neural networks (CNNs) have been used in image retrieval. However, many image retrieval systems based on CNNs have poor ability to express image features. Content-based Image Retrieval (CBIR) is a method of finding desired images from image databases. However, CBIR suffers from lower accuracy in retrieving images from large-scale image databases. In this paper, the proposed system is an improvement of the convolutional neural network for greater accuracy and a machine learning tool that can be used for automatic image retrieval. It includes two phases
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The basic solution to overcome difficult issues related to huge size of digital images is to recruited image compression techniques to reduce images size for efficient storage and fast transmission. In this paper, a new scheme of pixel base technique is proposed for grayscale image compression that implicitly utilize hybrid techniques of spatial modelling base technique of minimum residual along with transformed technique of Discrete Wavelet Transform (DWT) that also impels mixed between lossless and lossy techniques to ensure highly performance in terms of compression ratio and quality. The proposed technique has been applied on a set of standard test images and the results obtained are significantly encourage compared with Joint P
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Image Fusion Using A Convolutional Neural Network
Many image processing and machine learning applications require sufficient image feature selection and representation. This can be achieved by imitating human ability to process visual information. One such ability is that human eyes are much more sensitive to changes in the intensity (luminance) than the color information. In this paper, we present how to exploit luminance information, organized in a pyramid structure, to transfer properties between two images. Two applications are presented to demonstrate the results of using luminance channel in the similarity metric of two images. These are image generation; where a target image is to be generated from a source one, and image colorization; where color information is to be browsed from o
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This Study aimed To know The relation between Types of blood and health problems which human Suffered from , and the effect of food intake on health.
Samples of study contained 269 person aged between 30 – 70 years which choiced randomly for sex , we are take all in formation about samples of study by form paper contian sex , age, type of blood , weight (kg) , height (cm) , smoking or.not , sporting or not, problems in digestive tract , sensitivity for foods , heart problems , ratio of cholesterol in blood , Sinusitis , Asthma , diabetic meliuts , arritable bowel syndrome , diaherra , problems in kidney and urination , hypertension , anemia , alternation in liver function , arthritis with form record in daily food intake and its ade
The follower of the history of cinema in the world notes that cinema started recording one and these films are varied in their subjects, while the life of man was the material of these films to be in a creative artistic style.
If the Palestinian films produced by Palestinian directors do not have an impact on the local, Arab and international levels, this is due to the weakness in several technical fields or with the intention to make them bad or negligence of those who produce these films.
This research deals with the role played by Palestinian films in dealing with the internal situation from the point of view of the Palestinian media elite in terms of their exposure to films and the motives of this exposure and the expectation