The current search aims to identify First: To measure the level of authoritarian personality among the students of the sample as a whole. Second: Measurement of differences in the level of authoritarian personality among students in the middle school according to the following variables 0.Science (literary, scientific) 8. Sex (male - female) Third: the level of control site level among the students of the sample as a whole. Ra'aa: Measurement of differences in the level of the control site among junior students according to the following variables 0.Science (literary, scientific) 8. Sex (male - female) Fifth: Explain the relationship between the authoritarian personality and the locus of control among the students of the research sample. In order to achieve the objectives of the current research, the sample was randomized by the random method of 061 students from the middle school of the third directorate in accordance with the gender variables (male and female) and the academic and academic specialization (8105-8106) In order to measure the level of authoritarian personality in the students, the researcher built the measure of authoritarian personality, the number of paragraphs (51), after being presented to a committee of arbitrators and experts in this field, which is the apparent truth, extracted the strength of the standard of the scale paragraphs using the method of the two extremes and using the test of two independent samples, (1.15) except two paragraphs (2,82) were excluded from the scale because it is less than the level of significance required so that the number of paragraphs of the scale (42) (3) areas. After the calculation of the construction accuracy of the scale and the stability of the scale was calculated in the Vaccronbach method with a consistency coefficient (1.26). As for the measurement of the site of control, the researcher adopted the measure of sweetness 0121 (52), after it was modified. The necessary cytometric properties of the apparent honesty and the validity indicators of the structure of the two extremes were obtained and using Pearson correlation coefficient (2) were excluded because they were less than the required level of significance. If the scale became final (51), it was divided into (1) fields. The consistency of the scale was obtained by the Vaccronbach method with a consistency coefficient of 1.28. The researcher reached the following results: 0. The middle school students overcome them with a tolerant personality in their behavior. 8. There are no statistically significant differences in the authoritarian personality by gender. 3. There are no statistically significant differences for the authoritarian personality by variable (specialization). 4 - that the junior high school students in the direction of internal control and external in general. 5. There are statistically significant differences in the location of the locality according to the sex variable. The males tend to control their position internally. 6. There are no statistically significant differences in the location of the control by variable (specialization). 2. There is no statistically significant correlation between the authoritarian personality and the locus of control. In the light of the findings of the researcher, I made a number of conclusions, recommendations and suggestions mentioned in chapter .
An intrusion detection system (IDS) is key to having a comprehensive cybersecurity solution against any attack, and artificial intelligence techniques have been combined with all the features of the IoT to improve security. In response to this, in this research, an IDS technique driven by a modified random forest algorithm has been formulated to improve the system for IoT. To this end, the target is made as one-hot encoding, bootstrapping with less redundancy, adding a hybrid features selection method into the random forest algorithm, and modifying the ranking stage in the random forest algorithm. Furthermore, three datasets have been used in this research, IoTID20, UNSW-NB15, and IoT-23. The results are compared with the three datasets men
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Software-defined networking (SDN) presents novel security and privacy risks, including distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning (ML) and deep learning (DL) have emerged as effective approaches for quickly identifying and mitigating anomalies. To this end, this research employs various classification methods, including support vector machines (SVMs), K-nearest neighbors (KNNs), decision trees (DTs), multiple layer perceptron (MLP), and convolutional neural networks (CNNs), and compares their performance. CNN exhibits the highest train accuracy at 97.808%, yet the lowest prediction accuracy at 90.08%. In contrast, SVM demonstrates the highest prediction accuracy of 95.5%. As such, an
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This work proposes a new video buffer framework (VBF) to acquire a favorable quality of experience (QoE) for video streaming in cellular networks. The proposed framework consists of three main parts: client selection algorithm, categorization method, and distribution mechanism. The client selection algorithm was named independent client selection algorithm (ICSA), which is proposed to select the best clients who have less interfering effects on video quality and recognize the clients’ urgency based on buffer occupancy level. In the categorization method, each frame in the video buffer is given a specific number for better estimation of the playout outage probability, so it can efficiently handle so many frames from different video
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MCM-48 zeolites have unique properties from the surfaces and structure point of view as it’s shown in the results ,and unique and very sensitive to be prepared, have been experimentally prepared and utilized as a second-generation/ acid - catalyst for esterification reactions of oleic acid as a model oil for a free fatty acid source with Ethanol. The characterization of the catalyst used in the reaction has been identified by various methods indicating the prepared MCM-48 is highly matching the profile of common commercial MCM-48 zeolite. The XRF results show domination of SiO2 on the chemical structure with 99.1% and agreeable with the expected from MCM-48 for it's of silica-based, and the SEM results show the cubic c
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An aircraft's landing stage involves inherent hazards and problems associated with many factors, such as weather, runway conditions, pilot experiences, etc. The pilot is responsible for selecting the proper landing procedure based on information provided by the landing console operator (LCO). Given the likelihood of human decisions due to errors and biases, creating an intelligent system becomes important to predict accurate decisions. This paper proposes the fuzzy logic method, which intends to handle the uncertainty and ambiguity inherent in the landing phase, providing intelligent decision support to the pilot while reducing the workload of the LCO. The fuzzy system, built using the Mamdani approach in MATLAB software, considers critical
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The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first perso The fast microwave assisted pyrolysis (FMWAP) of water hyacinth (WH) for biochar production is investigated. Taguchi’s method was used to optimize FMWAP parameters. The effects of microwave
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