<p class="Abstract">This New learning educational methods, which depending on Learning Management System (LMS), have been used by universities in the top education universities in the world. However, most of the Iraqi universities use the traditional education methods in the classroom. The purpose of this study was to examine the benefit of using LMS in higher education.  This study shows how to implement and use modern educational techniques in Engineering College of Wasit University. This paper shows that using modern education tools in the class lead to increase the productivity of student, save time with less effort for instructors with high accuracy of exam results. In addition, using LMS system allows students to obtain more information in a short time. Moreover, this system gives students an opportunity to interact with the instructor and among themselves. The findings show the benefits of integrating LMS in higher education and recommend other institutions to implement it.</p>

With the growth of technological devices, gadgets and utility products in routine life, there is need to escalate the energy optimization with higher degree of accuracy and performance. Earlier the 4G networks were used are quite prominent and the wireless scientists are working ahead towards the direction of 5G. In 5G based next-generation networks there are the projected features to transmit the huge amount of data and signals to the different locations whether to short or distant locations. The energy optimization, preservation and harvesting are key perspectives of research in advance gadgets in which the key focus is to minimize the energy loss and escalate the overall life period time of the network environment. These gadgets include assorted sensor nodes which communicate to each other using clustering and sharing of signals with the overall collaboration on the specific domain. In this manuscript, the mechanisms and methodologies for the energy parameter in the 5G networks are presented so that the greater accuracy and throughput can be obtained. In addition, a comparison has been established among the old classical network generations and the new 5G networks. The comparison is done predictably in terms of data rate, Latency, Mobility, Energy, and Efficiency of Spectrum. These specifications of the various network generations have been compared in order understand and highlight the benefits and advantages of the new coming generation (5G) over the features of the traditional network generations. Moreover, this paper is intended to show the challenges and related issues might be faced to achieve the implementation of the features and specifications of the new generation technology (5G). As a result, the new ( 5G ) will be more efficient and effective in terms of high data transfer rate, low latency, Mobility, and Energy. This is very important because it draws a road map for many exciting technologies and infrastructures including Internet of Things (IOT) , remote control of industrial machinery and robotics, and much faster download speed. Thus, 5G will support carrying huge amount of data faster which will help to support smarter and reliable technology infrastructures and environment. Keywords: 5G, wireless communications, New Radio, Mechanisms Prediction of energy, River Formation Dynamics (RFD), Nature Inspired Approach (NIA), Chanal State Information (CSI).

— In this study, a new method has been eliciting for encoding 2D and 3D color images. The DNA strand construction was used as the basis for structuring the method. This method consisted of two main stages, the encryption and decryption stages. As each stage includes several operations to reach the desired goal. In the coding stage, a special table was prepared to show the mechanism of work. It starts with encoding the DNA bases into two binary orders, then two zeros are added to the string to finally consist of four binary bits whose size is parallel to the representation of a set of hexadecimal numbers represented in binary, where the XOR operation is then done between the two values to be the result is completely different from the original code. Then the binary values we obtained are converted to decimal values that are placed in an array with the same size as the image to be encoded. Finally, this last array was processed with the exponential function factor, so the final result is a 100% encoded image. In the decoding stage, another algorithm was built that reflects the work of what preceded it in the encryption stage, where the result was an exact copy of the original image. It is worth noting that standard images of different sizes were used as testing images. The performance evaluation of the method was calculated based on several factors: MSE, peak PSNR, and the time required to perform the encoding and decoding process. The method achieved good results when compared with the results of other methods in terms of quality and time.

<p>Energy consumption is a huge problem in Iraq, especially in government institutions. Many devices continue operating even after working hours. In this case study, by using IOT technology, we shall show it to be more efficient if we can control the main devices that are consuming a large amount of power.  Internet of things (IOT), therefore, is an exciting solution for managing energy consumption in Iraqi government buildings.</p><p>The proposed system has been designed to wake up the devices to start operating at 7:00 AM. 7:00 AM is the standard start of the working day in Iraq. In our proposed system, the case study has been taken based on the universities and institutions. In the universities and institutions, the working day ends at 8:00 PM. This is when our proposed system is designed to power off the main devices. In addition, after 8:00 PM and before 7:00 AM, if there is any device still in operation, the system will send a notification to the manager of the institution.</p><p>Our proposed system has been designed using Arduino mega as a main controller. Also, the module SIM800L GSM has been used to make the communication for notification cases, and the Relay 8 CH has been used as electronic switches for the devices.</p>

Liver disease counts to be one of the most prevalent diseases in the worldwide. Therefore, this paper is aim to address the problem of predicting liver disease progression. As the existing predictive models focus on predicting the label of disease; the probability of developing the disease is still obscure. This paper, therefore, has proposed a model to predict the probability occurrence of liver diseases. The proposed predictive model used logistic regression abilities to predict the probability of liver disease occurrence. ILPD dataset was used to analyze the performance of the model. The predictive model has shown outstanding performance with a prediction accuracy rate of 72.4%, the sensitivity of 90.3%, the specificity of 78.3 %, Type I Error of 9.7 %, Type II Error of 21.7 %, and ROC of 0.758%. The model has furthermore confirmed the feasibility of the laboratory tests such as as (Age; Direct Bilirubin (DB), Alamine_Aminotransferase (SGPT), Total_Protiens (TP), Albumin (ALB)) to predict the disease progression. The predictive model will be helpful to patients and doctors to realize the progression of the disease and make a suitable timely intervention.