ملخص البحث :

السبل والوسائل التي يمكن تطبيق نظام التعليم الالكتروني في العراق مقارنة مع دول نجحت في ذلك بالامثلة .

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Abstract كان الهدف الأساس من البحث بيان أهمية الذكاء الاصطناعي والنظم الخبيرة في الإدارة الحديثة، وبيان التباين الواسع بين واقع ومستقبل العلوم الإدارية ومنظمات الأعمال الحديثة والمتطورة، وتحديد اتجاهاتها العلمية الحديثة باستخدامها للتطور الهائل للنظم الداعمة للقرارات والنظم الذكية والنظم الخبيرة، والدور التكاملي في اتخاذ القرارات الهيكلية الصحيحة، والقرارات شبه الهيكلية (الضبابية) وتحت ظروف عدم التأكد، حيث تكون خبرة مديرو الأساس في اتخاذ القرارات بناءً على معطيات وبيانات قد تكون غير كاملة، ويكون رأي المدير وخبرته هي الدافع في اتخاذ القرار، وعند توفر البيانات والمعطيات الأولية في قواعد البيانات أو من أي مصدر آخر فإن لقواعد النماذج وبرمجيات DSS الأفضلية في اتخاذ البدائل المثالية للقرارات ويبقى على صانع القرار اعتماده أو رفضه.

ملخص البحث :

Abstract The objective of the research is to identify the strategic planning elements, strategic message, strategic analysis and strategic choice in the tourism administration of a number of tourist offices in Baghdad. The sample was selected to include (13) tourist offices in Baghdad, A questionnaire was developed and distributed to a sample of 90 male and female members of different ages and scientific qualifications. Of these, 86 were recovered for analysis. In order to process the data, a number of statistical methods were used: (arithmetical mean, standard deviation, Man) and the regression coefficient)) using the statistical program (SPSS) were the main findings of the research and there is a positive impact of strategic planning in the tourism administration correlation. The most important recommendations were the need to strengthen the relationship between intellectual and social workers to support strategic planning and develop the level of management of tourism organizations through the establishment of training courses to improve work performance.

ملخص البحث :

Abstract: This study dealt with the design of an algorithm to improve vehicle tracking and monitoring systems. The problem of the study was :many existing tracking and monitoring algorithms were able to obtain traffic information only in relatively ideal environmental conditions and normal traffic flow. However, unfavorable environmental factors and Occlusions often lead to a significant deterioration in the quality of data collected using these algorithms. The study aimed to design an algorithm to obtain unknown or accurate information to give better results to improve the efficiency of the real-world application vehicle tracking system that integrates image capture with the body fragmentation algorithm, as well as finding a better vehicle tracking method. The experimental method was used mainly as well as analytical, and the monitoring of vehicles was monitored on a special route used to track the vehicles. A census and traffic analysis were conducted. The study found statistically significant differences between the algorithm of the sum of the frames and the main frame when comparing the real-time discrimination of the vectors in favor of the total sum of the tires PCA, LDA, NN. There are statistically significant differences in the increase of the PCA + NN and PCA + LDA + NN differences between the method of counting the frames instead of the main frame. There are also statistically significant differences in favor of the main frame method algorithm in detecting faulty rejection. The study also found that car tracking and espionage systems as well as intelligent transport systems applications are important in the field of accounting vision. This work contributes to the review of a random process based on tracking and tracking of vehicles in crowded and narrow locations where there is a potential for error in vehicle tracking.

ملخص البحث :

جمعت تقنية الكاميرا المدمجة (

ملخص البحث :

Abstract The detection and tracking of mobile vehicles at current traffic sites is the emerging research area for intelligent transport systems. In this search, we offer a mysterious cellular automated engine model to address the problem of environmental changes associated with the methods and methods of the rear subtraction of dynamic vehicle tracking. The proposed model deals with the fuzzy cellular operator, which has been set up with less vague "exclusive" support rules and "operates as the following mode logic to deal with degrees of uncertainty in the rule of similar operations. In fact/ at each step, the background update is determined according to the number of active cells and the blur mapping function; therefore, mobile compounds that resemble their grey level are simply detected with a grey background. Furthermore, the treatment technique is used on a visual measurement basis to detect the blockage of the vehicle and the breakdown of the vehicle by category of blockage and the results show the experimental method proposed is more robust and accurate than the traditional methods of detecting and tracking vehicles in a timely manner.

ملخص البحث :

Abstract: The normal scientific analysis of laboratory samples suffers from a lack of velocity and slowness in addition to the great effort exerted by way of the specialists which outcomes in different consequences for one sample in accordance to each specialist and his condition. In order to keep away from this on this approach is extraordinarily important in the cure of cellular scientific images. Edge detection minimizes the amount of information used. It ignores facts that does no longer work whilst retaining and manipulating the fundamental structural characteristics of the image. There is additionally a want to have an appropriate area detection concept. In this research, a range of strategies were used in the detection of the edges and their evaluation with extraordinary and utilized to a variety of samples of cell scientific images. This research was performed the usage of the MATLAB program. The end result used to be that the Laplacian of Gaussian coefficient had better consequences than almost all other algorithms in phrases of accuracy of the image.

ملخص البحث :

Image compression is important over time, controls communication channels, and the great need for real-time data transfer. On this basis, many compression algorithms reduce the size of data on the condition that quality is maintained to the extent possible. In this research, we have a special interest in processing the objects that appear when processing digital images (specific space) given by the number of colors, such as those found in color coding (HSL or Green Blue Red (RGB)). A sophisticated algorithm has been created by relying on the intermittent interlock of image windows and computation of its assembly funcEnergy-Efficienttions using the process of centralization in all its different forms such as computation of arithmetic mean, geometric mean or arithmetic mean, all to be reduced and reconstructed for this colored digital space image. In this paper, we also present procedures for calculating the distortion resulting from reduction and reconstruction to evaluate the status of using the assemblages.

ملخص البحث :

Today's real-time systems are the core of most ICT applications. The rapid development of such systems has attracted researchers' attention to optimize performance and to minimize as much as possible the problems and disadvantages they suffer in order to improve their performance in proportion to the volume of tasks entrusted to them. There are many major challenges facing real-time systems, which are mainly the problem of task scheduling on processor nuclei in the quantity of multi-core processors. Several methods have been proposed, including the general method, where any task can be executed on any kernel, the split method depends on the allocation of a specific kernel for each specific set of tasks. There is also the semi-fragmented method, which is a hybrid of the two previous methods, where a set of tasks is assigned to be executed on a particular kernel, while other functions are allowed to execute on any nucleus of the nucleus Treatment.

ملخص البحث :

Speech recognition techniques are one of the most important modern technologies. Many different systems have been developed in terms of methods used in the extraction of features and methods of classification. Voice recognition includes two areas: speech recognition and speaker recognition, where the research is confined to the field of speech recognition. The research presents a proposal to improve the performance of single word recognition systems by an algorithm that combines more than one of the techniques used in character extraction and modulation of the neural network to study the effects of recognition science and study the effect of noise on the proposed system. In this research four systems of speech recognition were studied, the first system adopted the MFCC algorithm to extract the features. The second system adopted the PLP algorithm, while the third system was based on combining the two previous algorithms in addition to the zero-passing rate. In the fourth system, the neural network used in the differentiation process was modified and the error ratio was determined. The impact of noise on these previous systems. The outcomes were looked at regarding the rate of recognizable proof and the season of preparing the neural network for every system independently, to get a rate of distinguishing proof and quiet up to 98% utilizing the proposed framework.

ملخص البحث :

Despite many developments and improvements in mobile devices, it still suffers from its limited capabilities such as short battery life, limited processing capabilities, and small storage spaces that can be overcome by canceling the implementation locally and attributing it to the cloud, in this research all cases have been applied to methods Implementation in mobile applications, which can be either Java methods, (C++) methods, or CUDA methods that require calculations to be performed on the cloud server's graphics processor (GPU).We have been working on proposing and developing an algorithm for decision-making in attributing implementation before starting it, according to the network status, as well as developing an application using (Android Studio) accompanying this research, through which the best methods of implementation can be determined and thus it becomes possible to make the final decision in determining a clear mechanism for implementation and choosing between two states, either the implementation is local or on the cloud server. The results are set for each possible implementation case (locally - remotely), based on the decision-making algorithm by determining the implementation time taking into account the mobile device CPU speed, network performance, application program characteristics, and cloud server efficiency. It is important to rely in this research on taking into account the CPU speed of the mobile device, network performance, application program characteristics, and the efficiency of the cloud server to reach the best results that were reviewed in this research with the use of different platforms to choose the best one in accomplishing our work. The actual results of the applied algorithm proved a significant saving in implementation time with the increase in the request to perform tasks on the cloud server and with the increasing complexity of the issue.