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Marietta, GA, United States

Southern Polytechnic State University was a public, co-educational, state university in Marietta, Georgia, United States approximately 20 miles northwest of downtown Atlanta. It was part of the University System of Georgia and called itself "Georgia's Technology University."The university was established in 1948 as The Technical Institute in Chamblee, Georgia. The first classes were held with 116 students. It was renamed the Southern Technical Institute in 1949 and moved to its present campus in Marietta, Georgia in 1962. It went through another name change in 1987 and became the Southern College of Technology. In the summer of 1996, the university adopted its current name. It is one among a small group of polytechnic universities in the United States that tend to be primarily devoted to the instruction of technical arts and applied science.On November 1, 2013, plans were announced to consolidate Southern Polytechnic into nearby Kennesaw State University. On January 6, 2015, the Georgia Board of Regents of the University System of Georgia approved the consolidation of Southern Poly and Kennesaw State. Wikipedia.


Diong B.,Southern Polytechnic State University | Sepahvand H.,Missouri University of Science and Technology | Corzine K.A.,Missouri University of Science and Technology
IEEE Transactions on Industrial Electronics | Year: 2013

This paper considers achieving the minimum total harmonic distortion (THD) or frequency-weighted THD (WTHD) of the staircase-modulated output voltage of single-phase multilevel inverters, with or without elimination of the lowest order harmonics. The minimal THD values, together with the corresponding step angles and dc voltage source ratios, have been obtained for the 5-, 7-, 9-, 11-, and 13-level cases; accounting for the device voltage drops when the load is resistive or is moderately inductive is described. Similarly, the minimal WTHD values, together with the corresponding step angles and dc source voltage ratios, have been obtained for the five-, seven-, and nine-level waveform cases. The results show that requiring harmonic elimination leads to larger W/THD than the minimum W/THD that can be achieved without this requirement. Furthermore, a 13-level waveform is needed to attain a voltage THD less than 5%, and a nine-level waveform is needed to attain a WTHD less than 0.5%. Experimental measurements are presented as verification of the analytical results. © 1982-2012 IEEE. Source


Mansingh G.,University of the West Indies | Osei-Bryson K.-M.,Virginia Commonwealth University | Reichgelt H.,Southern Polytechnic State University
Information Sciences | Year: 2011

Data mining is used to discover hidden patterns or structures in large databases. Association rule induction extracts frequently occurring patterns in the form of association rules. However, this technique has a drawback as it typically generates a large number of association rules. Several methods have been proposed to prune the set of extracted rules in order to present only those which are of interest to the domain experts. Some of these methods involve subjective analysis based on prior domain knowledge, while others can be considered to involve objective, data-driven analysis based on numerical measures that provide a partial description of the interestingness of the extracted association rules. Recently it has been proposed that ontologies could be used to guide the data mining process. In this paper, we propose a hybrid pruning method that involve the use of objective analysis and subjective analysis, with the latter involving the use of an ontology. We demonstrate the applicability of this hybrid method using a medical database. © 2010 Elsevier Inc. All rights reserved. Source


Zhou P.,Georgia Institute of Technology | Chang Y.,Southern Polytechnic State University | Copeland J.A.,Georgia Institute of Technology
IEEE Journal on Selected Areas in Communications | Year: 2012

Cognitive radio (CR) users are expected to be uncoordinated users that opportunistically seek the spectrum resource from primary users (PUs) in a competitive way. In most existing works, however, CR users are required to share the interference channel information and power strategies to conduct the game with pricing mechanisms that incur the frequent exchange of information. The requirement of significant communication overheads among CR users impedes fully distributed solutions for the deployment of CR networks, which is a challenging problem in the research communities. In this paper, a robust distributed power control algorithm is designed with low implementation complexity for CR networks through reinforcement learning, which does not require the interference channel and power strategy information among CR users (and from CR users to PUs). To the best of our knowledge, this research provides the solution for the first time for the incomplete-information power control game in CR networks. During the repeated game, CR users can control their power strategies by observing the interference from the feedback signals of PUs and transmission rates obtained in the previous step. This procedure allows achieving high spectrum efficiency while conforming to the interference constraint of PUs. This constrained repeated stochastic game with learning automaton is proved to be asymptotically equivalence to the traditional game with complete information. The properties of existence, diagonal concavity and uniqueness for the game are studied. A Bush-Mosteller reinforcement learning procedure is designed for the power control algorithm, and the properties of convergence and learning rate of the algorithm are analyzed. The performance of the learning-based power control algorithm is thoroughly investigated with simulation results, which demonstrates the effectiveness of the proposed algorithm in solving variety of practical CR network problems for real-world applications. © 2012 IEEE. Source


Ye J.,Shaoxing University | Ye J.,Southern Polytechnic State University
International Journal of General Systems | Year: 2013

The paper presents the correlation and correlation coefficient of single-valued neutrosophic sets (SVNSs) based on the extension of the correlation of intuitionistic fuzzy sets and demonstrates that the cosine similarity measure is a special case of the correlation coefficient in SVNS. Then a decision-making method is proposed by the use of the weighted correlation coefficient or the weighted cosine similarity measure of SVNSs, in which the evaluation information for alternatives with respect to criteria is carried out by truth-membership degree, indeterminacy-membership degree, and falsity-membership degree under single-valued neutrosophic environment. We utilize the weighted correlation coefficient or the weighted cosine similarity measure between each alternative and the ideal alternative to rank the alternatives and to determine the best one(s). Finally, an illustrative example demonstrates the application of the proposed decision-making method. © 2013 Copyright Taylor and Francis Group, LLC. Source


Shpuza E.,Southern Polytechnic State University
Environment and Planning B: Planning and Design | Year: 2014

Urban growth is discussed according to the impact of size on metric and topological space syntax measures that describe street networks. The quantitative analysis of three historical stages of cities on the Adriatic and Ionian coastline is supported by a unique database of historical maps and axial map representations. The empirical evidence demonstrates strong and significant allometric relationships of total length of lines to the area of urbanized territory, and total length, total connectivity, overall depth, total choice (betweenness), and total depth entropy to axial map size. In this paper allometric equations are derived for the measures and it is shown that comparative analysis based on means of measures traditionally used in space syntax does not comply with the observed ontogenetic relationships. The allometric trends of length to area and of connectivity to network size are shown to have sublinear scaling exponents, whereas allometric relationships of length, depth, choice, and entropy to network size are expressed with superlinear exponents. The comparison among three historical stages shows that allometry of depth to axial map size maintains statistical equivalence at the ontogenetic scale that transcends various types of street patterns, growth models, and physiographic conditions. In contrast, allometric relationships of depth, choice, and entropy to size reveal distinct universality classes between cities on the Italian and Balkan coasts, and between cities with and without gridiron street patterns. © 2014 Pion and its Licencors. Source

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