<p>In the mobile phone system, it is highly desirable to estimate the loss of the track not only to improve performance but also to achieve an accurate estimate of financial feasibility; the inaccurate estimate of track loss either leads to performance degradation or increased cost. Various models have been introduced to accurately estimate the path loss. One of these models is the Okomura / Hata model, which is recommended for estimating path loss in cellular systems that use micro cells. This system is suitable for use in a variety of environments. This study examines the comparison of path loss models for statistical analysis derived from experimental data collected in urban and suburban areas at frequencies of 150-1500 MHz’s The results of the measurements were used to develop path loss models in urban and suburban areas. The results showed that Pathloss increases in urban areas respectively.</p>
Feature extraction is provided a lot of significance in social networks such as Twitter, due to playing a vital role in public opinion analysis. Several algorithms are suggested for solving them. Feature extractions are generally defined as to the process of extracting interesting features, non-trivial and knowledge from unstructured text documents. Feature extractions are interdisciplinary field which depends on information retrieval, machine learning, parameter statistics and computational linguistics. This study implements two methods term frequencyinverse document frequency (TF-IDF) and logarithm (TF-IDF) with singular value decomposition (SVD) dimensionality reduction techniques. The paper presents a new method that displays an effective preprocessing and dimensionality reduction techniques which help the feature extraction by using logarithm TF-IDF method. Finally, the experimental results show that logarithm TF-IDF method enhances the performance of English text document classification. Simulation results show the superiority of the proposed algorithm. In general, TF-IDF with logarithm outperforms traditional TF-IDF with respect to the evaluation metrics.
<p>There is an Increasing demand for the education in the field of E-learning specially the higher education, and to keep contiuity between the user and the course director in any place and time. This research presents a proposed and simulation multimedia network design for distance learning utilizing ATM technique. The propsed framework determines the principle of ATM technology and shows how multimedia can be integrated within E- learning conteext. The first part of this research presents a theoretical design for the Electricity Department, university of technology. The purpose is to illustrate the usage of the ATM and Multimedia in distance learning process. In addition, this research composes two entities: Software entity by using image, sound and a mix between them to be transfered across the ATM network.. The MATLAB was used to validate the implementation of the required design objectives: (hardware entity) where a prototype is designed (experimental trial) , which aims to carry out the connectivity process between the user and course director, where multiple PCs are connected via unshielded twisted pair (UTP) and a web camera with microphone have been attached to PCs. To finalize this stage, an interface is implemented to show the data transmission process for multimedia by the ATM network and it has been realized through the Visual Basic language. Finally, to validate the level of success by using the ATM technique, some important factors have been determined through the analysis phase, which are: time delay, throughput and efficiency. The propsed design manages to minimize the impat of noise and improve the throuput ratio by 30% while minizing the delay with a ratio of 22%.</p>
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