The city has normal natural state, and the man has a usual movement, change and search for the new .Also, the city has a usual change and transform in its time, place and quality (sizes)structures. The city has a solid memory diving into the past and the future and reflects The real present, and this memory has a timing layers change into real materialistic place making the city has accumulated overlapping circles which is hard to break u , and it broadcasts the lockup timing density ,in which there is no visual record precisely, it is just like((the social record)) that evaluates the un visual relationships between the components and parts of the city (community and form) in a visual quiet exhibition and transform change inside. There is no city on earth stayed as it is in its size and shape, in which both of these are in a continuous change (increase and decrease) and continuous transform. Because all cities lie on urbanization development pressures that is the population growth and become exhibited worldly especially after the Second World War. Thus, the problem lies on the defect of time and place structures of the city that reflects negatively on the quality structures (sizes). Then, the deformed change and growth of the city loses its historical storage and it imitates the growth samples out of it is contexts that can not follow it. The cities are born as an urban organization which it could be formal or communal, and it don’t stay on its size or form which it born upon them. Actually it's suffer from transformation and changing's or both of them and they are caused by the effects of time and place. As a result of these effects the city may be witness (size operation), or change its architectural properties, all this will be study in the theoretical side of the research. The research applied its theory on Baghdad city as a case study. Baghdad so that any other cities as something alive which is born, then witness transformations and changing which causing to it time and place effects, they are effect its size (increase and decrease) according to the time effect (event) that made the change or the place effect, and all above will be search in more details with a historical sequences, and in a descriptive and analytical method during the practical side of the research. For this, the research aims at checking these effects of time and place and its reflection on the quality size of city (area and population) taking the change in size of Baghdad city and its growth through the
The increased use of hybrid PET /CT scanners combining detailed anatomical information along withfunctional data has benefits for both diagnostic and therapeutic purposes. This presented study is to makecomparison of cross sections to produce 18F , 82Sr and68Ge via different reactions with particle incident energy up to 60 MeV as a part of systematic studies on particle-induced activations on enriched natNe, natRb, natGa 18O,85Rb, and 69Ga targets, theoretical calculation of production yield, calculation of requiredtarget and suggestion of optimum reaction to produce: Fluorine-18 , Strontium-82 andGermanium-68 touse in Hybrid Machines PET/CT Scanners.
The performance evaluation process requires a set of criteria and for the purpose of measuring the level of performance achieved by the Unit and the actual level of development of its activities, and in view of the changes and of rapid and continuous variables surrounding the Performance is a reflection of the unit's ability to achieve its objectives, as these units are designed to achieve the objectives of exploiting a range of economic resources available to it, and the performance evaluation process is a form of censorship, focusing on the analysis of the results obtained from the achievement All its activities with a view to determining the extent to which the Unit has achieved its objectives using the resources available to it and h
... Show MoreTraffic classification is referred to as the task of categorizing traffic flows into application-aware classes such as chats, streaming, VoIP, etc. Most systems of network traffic identification are based on features. These features may be static signatures, port numbers, statistical characteristics, and so on. Current methods of data flow classification are effective, they still lack new inventive approaches to meet the needs of vital points such as real-time traffic classification, low power consumption, ), Central Processing Unit (CPU) utilization, etc. Our novel Fast Deep Packet Header Inspection (FDPHI) traffic classification proposal employs 1 Dimension Convolution Neural Network (1D-CNN) to automatically learn more representational c
... Show MoreTwo unsupervised classifiers for optimum multithreshold are presented; fast Otsu and k-means. The unparametric methods produce an efficient procedure to separate the regions (classes) by select optimum levels, either on the gray levels of image histogram (as Otsu classifier), or on the gray levels of image intensities(as k-mean classifier), which are represent threshold values of the classes. In order to compare between the experimental results of these classifiers, the computation time is recorded and the needed iterations for k-means classifier to converge with optimum classes centers. The variation in the recorded computation time for k-means classifier is discussed.