A novel mining system for criminal issues from a video file within cloud computing environment

This paper presents a description of a novel mining system which mines the different occurrences (instances) of the same object from a video file. The framework of the system consists of four steps: segmenting the video file into stable tracks, extracting objects and their features from the tracks, grouping these tracks into clusters based on their residing objects, and finally mining the instances of each object in the shared pool of configurable computing resources within cloud environment for more security. The paper also presents a critique and feedback for the system and proposes an idea to improve its performance

A Proposed Educational-Administrative Vision for Activating the Role of Educational Media in Jordanian Secondary Public Schools in Addressing the Intellectual and Cultural Challenges

The present study aimed to offer a proposed educational-administrative vision for activating the role of educational media in Jordanian secondary public schools in addressing the intellectual and cultural challenges. The population consists from all the Jordanian secondary public school principals (i.e. 1227 female and male principals).  The sample consists from 127 female and male principals. It represents 10% of the population. A developmental survey-based approach was adopted. It was found that educational media plays moderate role in addressing the intellectual and cultural challenges in Jordanian secondary public schools.  There isn’t any statistically significant difference between the respondents’ attitudes which can be attributed to (gender, or academic qualification). However, there are statistically significant differences between the respondents’ attitudes which can be attributed to experiences for the favour of the ones who have 10 years or more. Based on the study’s results, the researchers proposed an educational-administrative vision for activating the role of educational media in Jordanian secondary public schools in addressing the intellectual and cultural challenges. The applicability of this vision was examined. Keywords: Educational media, intellectual and cultural challenges, secondary public schools, Jordan DOI: 10.7176/JEP/11-33-13 Publication date: November 30th 202

An efficient mathematical analysis for saving energy in WSN routing protocol

The issue of energy efficiency in wireless sensor networks (WSNs) is a prime consideration. Therefore, we propose an energy-saving scheme for use in wireless sensor networks and this the goal of this Research. The proposed protocol is a mixture of the low energy adaptive clustering hierarchy (LEACH) and mediation device (MD) protocols. It combines the advantages of both. The suggested protocol includes a mechanism for avoiding the collisions that exist in the MD protocols. Also, it allows the cluster head to be in sleep mode if there is no data to be sent. (In addition, MD Device in the proposed protocol will send ID to the node which will send the data to the cluster head that avoid collision signals that unfortunately happen in MD protocols and know which node sent data). This is in contrast to the LEACH protocol and MD protocol, where the cluster head is always switched on. Placing the cluster head in sleep mode contributes to reducing energy consumption.In the proposed scheme, clustering is used as in LEACH, but the cluster head is asleep by default. However, when a sensor node has data to send, it informs the MD, which then awakens the cluster head, making it ready for receiving sensor data. To evaluate the proposed scheme, we suggest a mathematical model that estimates the energy that the scheme saves as compared with LEACH. The results show that substantial energy saving is possible when the cluster head can be placed in sleep mode for a large percentage of time. Intuitively, this time percentage is higher when sensors have less data to send

Partisans’ and Civil Elites’ Role in Supporting Military Coups: The Case of the Egyptian Elites

Abstract The study reported in the article below tried to examine partisans’ and civil elites’ role in military interventions and coups. The 2013 Egyptian coup d'état that took place on 3 July 2013 was used as a model of analysis. Concisely, this study sought to identify the defining characteristics of the partisans and civil elites who supported that military coup in Egypt, including their social origins, their level of education, their views of democracy and constitutional legitimacy as well as the nature of their allegied tie-up with the armed forces. In order to do just this, the study used Samuel Huntington's hypothesis as a theoretical framework of analysis. Accordingly, elites’ support for military coups underlies weakness (and therefore ineffectiveness) of the country’s civil institutions as well as absence of institutional political channels that regulate competition and conflict between parties with differing interests and resources. An immediate outcome of such a state of affairs was that partisans and civil elites had demonstrated their superiority over the army as they possessed the means of power that enabled them to impose their control. The findings of the study showed that those partisans and civil elites, formed by mechanisms based on mutual interests and wealth, are only theoretically oriented in the sense that they only accept the principles of democracy and constitutional legitimacy in the event that they lead to their arrival to power. However, if that legitimacy comes from other political currents, (e.g. The Muslim Brotherhood), they soon turn against it

Automatic and early detection of Parkinson’s Disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method

Parkinson’s disease (PD) is a neurodegenerative condition generated by the dysfunction of brain cells and their 60–80% inability to produce dopamine, an organic chemical responsible for controlling a person’s movement. This condition causes PD symptoms to appear. Diagnosis involves many physical and psychological tests and specialist examinations of the patient’s nervous system, which causes several issues. The methodology method of early diagnosis of PD is based on analysing voice disorders. This method extracts a set of features from a recording of the person’s voice. Then machine-learning (ML) methods are used to analyse and diagnose the recorded voice to distinguish Parkinson’s cases from healthy ones. This paper proposes novel techniques to optimize the techniques for early diagnosis of PD by evaluating selected features and hyperparameter tuning of ML algorithms for diagnosing PD based on voice disorders. The dataset was balanced by the synthetic minority oversampling technique (SMOTE) and features were arranged according to their contribution to the target characteristic by the recursive feature elimination (RFE) algorithm. We applied two algorithms, t-distributed stochastic neighbour embedding (t-SNE) and principal component analysis (PCA), to reduce the dimensions of the dataset. Both t-SNE and PCA finally fed the resulting features into the classifiers support-vector machine (SVM), K-nearest neighbours (KNN), decision tree (DT), random forest (RF), and multilayer perception (MLP). Experimental results proved that the proposed techniques were superior to existing studies in which RF with the t-SNE algorithm yielded an accuracy of 97%, precision of 96.50%, recall of 94%, and F1-score of 95%. In addition, MLP with the PCA algorithm yielded an accuracy of 98%, precision of 97.66%, recall of 96%, and F1-score of 96.66%

Effective early detection of epileptic seizures through EEG signals using classification algorithms based on t-distributed stochastic neighbor embedding and K-means

Epilepsy is a neurological disorder in the activity of brain cells that leads to seizures. An electroencephalogram (EEG) can detect seizures as it contains physiological information of the neural activity of the brain. However, visual examination of EEG by experts is time consuming, and their diagnoses may even contradict each other. Thus, an automated computer-aided diagnosis for EEG diagnostics is necessary. Therefore, this paper proposes an effective approach for the early detection of epilepsy. The proposed approach involves the extraction of important features and classification. First, signal components are decomposed to extract the features via the discrete wavelet transform (DWT) method. Principal component analysis (PCA) and the t-distributed stochastic neighbor embedding (t-SNE) algorithm were applied to reduce the dimensions and focus on the most important features. Subsequently, K-means clustering + PCA and K-means clustering + t-SNE were used to divide the dataset into subgroups to reduce the dimensions and focus on the most important representative features of epilepsy. The features extracted from these steps were fed to extreme gradient boosting, K-nearest neighbors (K-NN), decision tree (DT), random forest (RF) and multilayer perceptron (MLP) classifiers. The experimental results demonstrated that the proposed approach provides superior results to those of existing studies. During the testing phase, the RF classifier with DWT and PCA achieved an accuracy of 97.96%, precision of 99.1%, recall of 94.41% and F1 score of 97.41%. Moreover, the RF classifier with DWT and t-SNE attained an accuracy of 98.09%, precision of 99.1%, recall of 93.9% and F1 score of 96.21%. In comparison, the MLP classifier with PCA + K-means reached an accuracy of 98.98%, precision of 99.16%, recall of 95.69% and F1 score of 97.4%

Actual transaction behavior of Internet Banking Services among Iraqis customers using PLS approach

The main purpose of this research is to identify the factors that encourage adopters to take up the Internet banking services in Iraq This paper is concerned with an empirical investigation of individual factors technology that could predict successful IBSA in Iraq through the applications of planned behavior theory (TPB).This study uses sampling units in a questionnaire survey data of 535 Iraqis public university employees as customers of internet banking services who were using it already.This study applied partial least squares structural equation modeling (PLS-SEM) as the major analysis technique as well as SPSS, since PLS-SEM is a relatively new analytical technique in construction.The findings of this study suggests that attitude and percived behavior control(PBC) have significant and positively influences IBSA, while Subjective norm (SN) is unsuported.Related to individual factors technology (IFT), in this study there are 5 constructs all of them (technology and Internet literacy, resistance to change, risk of technology,and anxiety of technology, and trust of technolology) supported with researcher expectation

New CPW-Fed Broadband Circularly Polarized Planar Monopole Antenna Based On A Couple Of Linked Symmetric Square Patches

A new broadband circularly polarized planar monopole antenna with coplanar waveguide feeding (CPW-fed) is proposed. This antenna consists of a couple of linked symmetric square patches (CLSSP), an asymmetric ground plane and two strips connected to the left ground plane by the CLSSP radiator and a straight strip. A broad impedance bandwidth (IBW) is achieved. Moreover, a broad axial ratio bandwidth (ARBW) is obtained by using an asymmetric ground plane and an inverted L-shaped strip. Simulation results demonstrate that IBW reaches 119% (1.56-6.18 GHz) and ARBW is 88.9% (2-5.2 GHz). The latter is completely overlapped by the simulated IBW. In addition, antenna performance is investigated by studying different parameters

Compact CPW-Fed Broadband Circularly Polarized Monopole Antenna With Inverted L-Shaped Strip And Asymmetric Ground Plane

The design of a coplanar waveguide-fed (CPW-fed) broadband circularly polarized printed monopole antenna is proposed. The antenna consists of a simple rectangular radiator monopole, an inverted L-shaped strip, a horizontal stub, and a modified asymmetric ground plane. Simulation results indicate that the impedance bandwidth (IBW) is 121% (1.575-6.4 GHz), and the axial ratio bandwidth (ARBW) is 64.3% (2.85-5.55 GHz). A parametric study is performed for verification. Results: indicate that the proposed antenna is suitable for different wireless communications systems