Data Science and Applications https://www.jdatasci.com/index.php/jdatasci <p><em><strong>Data Science and Applications (DataSCI)</strong> </em>is an international peer-reviewed (refereed) journal which publishes original and quality research articles in the field of Data Science and its applications. <em><strong>DataSCI</strong></em> is published twice per year online. The aim of the journal is to publish original scientific researches based on data analysis from both life and social sciences. <em><strong>DataSCI</strong></em> also provides a data-sharing platform that will bring together international researchers, professionals and academics. The <em><strong>DataSCI</strong> </em>magazine accepts articles written in English.</p> <p>Our journal covers all the studies based on data&nbsp; analysis from&nbsp;both&nbsp;lifeand&nbsp;social&nbsp;sciences.&nbsp;Your data-based works can also be accepted in areas not mentioned below.</p> <ul> <li class="show"><strong># scientific data mining, machine learning, and Big Data analytics</strong></li> <li class="show"><strong># scientific data management, network analysis, and knowledge discovery</strong></li> <li class="show"><strong>#&nbsp;scholarly communication and (semantic) publishing</strong></li> <li class="show"><strong>#&nbsp;research data publication, indexing, quality, and discovery</strong></li> <li class="show"><strong>#&nbsp;data wrangling, integration, and provenance of scientific data</strong></li> <li class="show"><strong>#&nbsp;trend analysis, prediction, and visualization of research topics</strong></li> <li class="show"><strong>#&nbsp;scalable computing, analysis, and learning for Data Science</strong></li> <li class="show"><strong>#&nbsp;scientific web services and executable workflows</strong></li> <li class="show"><strong>#&nbsp;scientific analytics, intelligence, and real time decision making</strong></li> <li class="show"><strong>#&nbsp;socio-technical systems</strong></li> <li class="show"><strong>#&nbsp;social impacts of Data Science</strong></li> </ul> Dr. Murat Gök en-US Data Science and Applications 2717-6649 Extend geographical area of single frequency network configuration for DVB-T2 in Albania https://www.jdatasci.com/index.php/jdatasci/article/view/81 <p class="Abstract"><span lang="EN-US">Digital dividend and UHF frequency bands change over from broadcast television to mobile communication are being coordinated all over the European countries. The necessity of higher spectrum efficiency is a mandatory requirement for designing terrestrial digital video broadcasting servicing. To this context, designing higher servicing area in single frequency network configuration is one of goals of spectrum efficiency for TV broadcasting. In this work are analyzed four different DVB-T2 modulator configurations for merging two existing SFN’s within use two frequency channels to a new one extended SFN comprising both existing areas and a single frequency channel. The goal in the analyzed case is to reduce at minimum physical network change as transmitting antenna sites, antenna radiation pattern and transmitter radiated power for both allotments without also worsening the total bit rate. The proposed analysis is performed not only in received signal strength on the new SFN area, but signal quality and self-interfering definitions are described and simulated for the real test case in Albania allotments. The proposed solutions show the applicability of the designing method for extending the SFN area also beyond the theoretical permitted by Guard Interval choice.</span></p> Aleksander Hysen Biberaj Enida Sheme Sonila Xhaferllari Olimpjon Shurdi Alban Rakipi Elson Agastra ##submission.copyrightStatement## 2023-01-14 2023-01-14 5 1 5 10