Mohammad Naghibi

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In this paper, we tackle the problem of measuring similarity among graphs that represent real objects with noisy data. To account for noise, we relax the definition of similarity using the maximum weighted co-k-plex relaxation method, which allows dissimilarities among graphs up to a predetermined level. We then formulate the problem as a novel quadratic(More)
An accurate approach for drilling rate prediction using a new soft computing approach is introduced in this paper. Drilling rate prediction is an important issue due to its crucial role in minimizing drilling cost. However, a large number of unforeseen factors and events influence the drilling rate and make it a complex and stochastic process and(More)
Dimension reduction techniques for text documents can be used for in the preprocessing phrase of blog mining, but these techniques can be more effective if they deal with the nature of the blogs properly. In this paper we propose a novel algorithm called PostRank using shallow approach to identify theme of the blog or blog representative words in order to(More)
Recently beamforming WiFi access points (APs) have been commercially available from multiple vendors. The promise of beamforming APs is the enhanced range and data transmission rate, albeit at a premium price for the AP which can be an order of magnitude more expensive than regular omnidirectional APs. In this work, through live measurements, we study the(More)
In this paper, we develop and evaluate a distributed algorithm to efficiently balance the trade-off between network throughput and energy consumption in a heterogeneous cellular network. We formulate the problem as a joint optimization of base station activation, power control and user association. To solve the problem, which is a non-convex optimization(More)
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