American Academic Scientific Research Journal for Engineering, Technology, and Sciences 2021-09-24T09:58:25+00:00 Prof. Mohamad Nasar Open Journal Systems <div style="float: left; width: 315; text-align: center; margin-left: 5px;"> <p style="text-align: justify;">The <a title="home page for American Scientific Research Journal for Engineering, Technology, and Sciences" href="/index.php/American_Scientific_Journal/index">American Academic Scientific Research Journal for Engineering, Technology, and Sciences</a>&nbsp;is <strong>multidisciplinary&nbsp;<strong>peer reviewed </strong>Journal </strong><strong>intended to publish original research papersreview articles, short communications and technical reports in all main branches of science (All scientific disciplines) such as Social Sciences , Natural Sciences , Formal Sciences, and Applied science.&nbsp;(but not limited to):</strong>&nbsp;anthropology, archaeology, communication, criminology, education, government, linguistics, international relations, political science, sociology, Earth science, Ecology, Oceanography, Meteorology, Life science, Human biology, Decision theory, Logic, Mathematics, Statistics, Systems theory, Theoretical computer science, Applied physics, Computer science, all Fields of engineering, Accounting, , Education,&nbsp; Economics, Medical Technology, Biology,&nbsp; Medicine, Management, History, Mineralogy, Civil Engineering, Marine Technology, Commerce, Chemical Engineering, Animal Sciences, Petroleum &amp; Gas, Energy Resources,&nbsp; Agriculture, Medical Sciences, Machine Learning, Machinery, computer Science, Chemistry, Neural Networks, Physics, Social Science, Geology, Transportation, Waste Management, Control Engineering, Applied Mathematics, Oceanography, Biomedical Materials, Construction, Metallurgy, Neural Computing, Industrial Arts, IT, Astronology, Fire &amp; Fire Prevention, Robotics Marine Sciences, Solid State Technology, Business Administration, Food &amp;Food Industry, Atmospheric Sciences, Artificial Intelligence, Textile Industry &amp; Fabrics, Education science, Physiology, Nano Science, Microbiology, Psychology, Statistics, Pharmaceutical Sciences, Genetics, Botany, Veterinary Sciences, Biotechnology, Biochemistry, Zoology, Oncology, Accounting, Entomology, Parasitology, Evolution, human behavior, Biophysics, Fisheries, Pharmacology, Geography, Cell Biology, Genomics, Plant Biology, Law, Religious Studies, Endocrinology, Dentistry, Infectious Diseases, Toxicology, Immunology, Teacher education, and Neuroscience.&nbsp;</p> <p style="text-align: justify;">This International&nbsp;journal Guarantees that the editor decision based on the peer review results&nbsp;<strong>will not exceed 21 days</strong> from the paper submission date.</p> <p style="text-align: justify;">The journal accepts scientific papers for publication after passing the journal's double peer review process.&nbsp; For detailed information about the journal kindly check <a title="About the Journal" href="/index.php/American_Scientific_Journal/about">About the Journal</a>&nbsp;page.&nbsp;</p> <p>&nbsp;</p> </div> Measuring Affordability of the Middle Income Group for Residential House Price in Real Estate Sector of Rajshahi, Bangladesh 2021-09-20T20:05:17+00:00 Asaduzzaman Md Hameem Sheikh <p>Housing affordability has been an indicator of socio-economic status. Due to the rapid urbanization of developing countries like Bangladesh the dousing demand is always on a high. This increasing demand opposite to a lack of supply makes houses unaffordable for the middle income groups in the metropolitan cities like Rajshahi. This research is carried out to examine the level of housing affordability of the middle income groups in Rajshahi by using Price to Income Ratio (PIR) approach. PIR is applied to the residential units provided by the Real Estate agencies, which reveals that these are moderate to severely unaffordable for the target group. It is hoped that this paper could be able to provide a clear understanding useful insight on housing affordability for the middle-income group of Rajshahi.</p> 2021-09-20T20:03:41+00:00 Copyright (c) 2021 American Academic Scientific Research Journal for Engineering, Technology, and Sciences A Q-Learning Based Slice Admission Algorithm for Multi-Tier 5G Cellular Wireless Networks 2021-09-24T09:58:25+00:00 Elizabeth M. Okumu <p>Network slicing enables a 5G infrastructure provider (network infrastructure owner) to create multiple separate virtual networks, each tailored at a specific performance requirement, on a common physical network.&nbsp; In this context, slice admission algorithms are required to process slice requests received by the infrastructure provider.&nbsp; These algorithms are tailored to admit and allocate resources to network slices in a manner that results in the optimization of a given objective.&nbsp; In this paper, a Q-learning slice admission algorithm, which maximizes the infrastructure provider’s revenue, is designed.&nbsp; Results show that the designed algorithm learns from its environment, which enables it to acquire knowledge about the multi-tiered cellular network, thus allowing it make optimal slice admission decisions.&nbsp; The results further show that the designed algorithm has superior performance in terms of revenue achieved when compared to algorithms that admit, a) to maximize immediate rewards and b) slices in a random manner.&nbsp;</p> 2021-09-24T09:58:25+00:00 Copyright (c) 2021 American Academic Scientific Research Journal for Engineering, Technology, and Sciences