DD-dimensional Bardeen-AdS black holes in Einstein-Gauss-Bonnet theory

We present a $D$-dimensional Bardeen like Anti-de Sitter (AdS) black hole solution in Einstein-Gauss-Bonnet (EGB) gravity, \textit{viz}., Bardeen-EGB-AdS black holes. The Bardeen-EGB-AdS black hole has an additional parameter due to charge ($e$), apart from mass ($M$) and Gauss-Bonnet parameter ($\alpha$). Interestingly, for each value of $\alpha$, there exist a critical $e = e_E$ which corresponds to an extremal regular black hole with degenerate horizons, while for $e< e_E$, it describes non-extremal black hole with two horizons. Despite the complicated solution, the thermodynamical quantities, like temperature ($T$), specific heat($C$) and entropy ($S$) associated with the black hole are obtained exactly. It turns out that the heat capacity diverges at critical horizon radius $r_+ = r_C$, where the temperature attains maximum value and the Hawking-Page transition is achievable. Thus, we have an exact $D$-dimensional regular black holes, when evaporates lead to a thermodynamical stable remnant.Comment: 25 pages, 48 figure

Analysis of Data Mining Classification with Decision Tree Technique

The diversity and applicability of data mining are increasing day to day so need to extract hidden patterns from massive data. The paper states the problem of attribute bias. Decision tree technique based on information of attribute is biased toward multi value attributes which have more but insignificant information content. Attributes that have additional values can be less important for various applications of decision tree. Problem affects the accuracy of ID3 Classifier and generate unclassified region. The performance of ID3 classification and cascaded model of RBF network for ID3 classification is presented here. The performance of hybrid technique ID3 with CRBF for classification is proposed. As shown through the experimental results ID3 classifier with CRBF accuracy is higher than ID3 classifier

NC-G-SIM: A Parameterized Generic Simulator for 2D-Mesh, 3D-Mesh

As chip density keeps doubling during each course of generation, the use of NoC has become an integral part of modern microprocessors and a very prevalent architectural feature of all types of SoCs. To meet the ever expanding communication challenges, diverse and novel NoC solutions are being developed which rely on accurate modeling and simulations to evaluate the impact and analyze their performances. Consequently, this aggravates the need to rely on simulation tools to probe and optimize these NoC architectures. In this work, we present NC-G-SIM (Network on Chip-Generic-SIMulator), a highly flexible, modular, cycle-accurate, configurable simulator for NoCs. To make NC-G-SIM suitable for advanced NoC exploration, it is made highly generic that supports extensive range of cores in any kind of topology whether 2D, 3D or irregular. Simulation results have been evaluated in terms of latencies, throughput and the amount of energy consumed during the simulation period at different levels