A field study aimed at identifying the sources of mutual complaints among the Directorates of Education staff of their departments and management and run it in their daily dealings with principals in the province of Baghdad, and adopt approach. It was determined the research consists of (2357) male and female employees and 305 randomly stratified simple by the rate of (7%) from the research community as the number of sample reached (167) male and female employees, and selected sample was randomly stratified simple by the rate of (39.67%) of the research community, as the number of sample was (121) principals. It was constructed two questionnaires, the first included (28) items and the second contained (28) items. And the two researchers made sure of their validity and reliability. Results were analyzed by statistical software (SPSS), the two questioners were applied in the second semester of the academic year 2015-2016. The study has found the following results: the sources of complaint suffered by school principals are sharper and larger than those of complaints suffered by the Directorates of Education staff, and the depth and size of the reasons which were characterized by the principles are bigger little about from those identified by the Directorates of Education staff, and the research has made a number of recommendations and suggestions.
Deep learning convolution neural network has been widely used to recognize or classify voice. Various techniques have been used together with convolution neural network to prepare voice data before the training process in developing the classification model. However, not all model can produce good classification accuracy as there are many types of voice or speech. Classification of Arabic alphabet pronunciation is a one of the types of voice and accurate pronunciation is required in the learning of the Qur’an reading. Thus, the technique to process the pronunciation and training of the processed data requires specific approach. To overcome this issue, a method based on padding and deep learning convolution neural network is proposed to
... Show MoreRecent population studies have shown that placenta accreta spectrum (PAS) disorders remain undiagnosed before delivery in half to two-thirds of cases. In a series from specialist diagnostic units in the USA, around one-third of cases of PAS disorders were not diagnosed during pregnancy. Maternal
Electronic Health Record (EHR) systems are used as an efficient and effective method of exchanging patients’ health information with doctors and other key stakeholders in the health sector to obtain improved patient treatment decisions and diagnoses. As a result, questions regarding the security of sensitive user data are highlighted. To encourage people to move their sensitive health records to cloud networks, a secure authentication and access control mechanism that protects users’ data should be established. Furthermore, authentication and access control schemes are essential in the protection of health data, as numerous responsibilities exist to ensure security and privacy in a network. So, the main goal of our s
... Show MoreThis study investigates the feasibility of a mobile robot navigating and discovering its location in unknown environments, followed by the creation of maps of these navigated environments for future use. First, a real mobile robot named TurtleBot3 Burger was used to achieve the simultaneous localization and mapping (SLAM) technique for a complex environment with 12 obstacles of different sizes based on the Rviz library, which is built on the robot operating system (ROS) booted in Linux. It is possible to control the robot and perform this process remotely by using an Amazon Elastic Compute Cloud (Amazon EC2) instance service. Then, the map to the Amazon Simple Storage Service (Amazon S3) cloud was uploaded. This provides a database
... Show MoreThe rise of Industry 4.0 and smart manufacturing has highlighted the importance of utilizing intelligent manufacturing techniques, tools, and methods, including predictive maintenance. This feature allows for the early identification of potential issues with machinery, preventing them from reaching critical stages. This paper proposes an intelligent predictive maintenance system for industrial equipment monitoring. The system integrates Industrial IoT, MQTT messaging and machine learning algorithms. Vibration, current and temperature sensors collect real-time data from electrical motors which is analyzed using five ML models to detect anomalies and predict failures, enabling proactive maintenance. The MQTT protocol is used for efficient com
... Show MoreThe latest open commercial markets among countries, shift of capitals, and rise of mass economic, large international organizations, and international contracts leaded to a great increase of competition among countries for attracting capital for investments, specially among under developing countries which had bad economic situation, and which thinks that investment is the best solution to solve their old economic problems.
Developing small, and medium establishments in all economic sectors became the main economic force and natural resources for the development and growth of under developing countries. Small and medium establishments became the majority of any country establishments, and the past international experience shows t
... Show Moreتبحث هذه الدراسة في المهارات االتصالية عند المحررين الصحفيين وترتيب أولويات امتالكها لديهم إذ تلعب المهارات االتصالية دورا مهما في نجاح عملية التحرير الصحفي للرسالة بكل أنواعها سواء كانت خبرا أو مقاال أو تقريرا أو تحقيقا أو حديثا ، وتتنوع هذه المهارات بين األساسية المتعلقة باالتصال والمالحظة القوية وسرعة التعبير وبين المكملة لها المتعلقة باللغة والمعنى واإلرسال واالستقبال ، وتأتي هذه الد ارسة لتركز الضوء
... Show MoreThe great challenge that will face the management in the developed and developing countries at the same time as core issue is represented in the question of the labor productivity in the field of in the Training Of human which is believed that it will prevail upon the jobs of their organization for many coming decades in in next years. Farther more, it will limit the construction of the communities and the quality of this life. Therefore, the priority of the economics of those countries will be headed toward increasing this productivity and giving it tried finally to control economically and managerially. In the light of information era, every organization should become knowledgeable enterprise. And for this reason, the achievement of su
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