among structured peer-to-peer systems, chord has a general popularity due to its salient features like simplicity, high scalability, small path length with respect to network size, and flexibility on node join and departure. however, chord doesn’t take into account the topology of underlying physical network when a new node is being added to the system, thus resulting in high routing latency an...

The performance of a content-based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. Use of low-level features can not give satisfactory retrieval results in many cases; especially when the high-level concepts in the user’s mind is not easily expressible in terms of the low-level features. Therefore whenever possible, textua...

in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

A typical content-based information retrieval (CBIR) system, e.g., an image or video retrieval system, includes three major aspects: feature extraction, high dimensional indexing and system design [1]. Among the three aspects, high dimensional indexing is important for speed performance; system design is critical for appearance performance; and feature extraction is the key to accuracy performa...

Recently more and more attention has been paid to the intrusion detection systems (IDS) which don't rely on signature based detection approach. Such solutions try to increase their defense level by using heuristics detection methods like network-level emulation. This technique allows the intrusion detection systems to stop unknown threats, which normally couldn't be stopped by standard signatur...

doing centralized and coherent activities between governmental agencies is essential at any level. creating suitable institutional structure for appropriate solutions of policy problem in natural resources at multiple levels is possible using application of network governance. the aim of this paper is institutional network analysis with co-management of zagros dry forests in regional (county) l...

Characterization of disease using stationary resting-state functional connectivity (FC) has provided important hallmarks of abnormal brain activation in many domains. Recent studies of resting-state functional magnetic resonance imaging (fMRI), however, suggest there is a considerable amount of additional knowledge to be gained by investigating the variability in FC over the course of a scan. W...

distribution of magnetic fields in the quiet-sun internetwork areas has been affected by weak polarization (in particular stokes q and u) signals. to improve the signal-to-noise ratio (snr) of the weak polarization signals, several approaches, including temporal integrations, have been proposed in the literature. in this study, we aim to investigate a proper temporal-integration time with which...

In this paper, we investigate the use of high-level features for recognizing human emotions at the word-level in natural conversations with virtual agents. Experiments were carried out on the 2012 Audio/Visual Emotion Challenge (AVEC2012) database, where emotions are defined as vectors in the Arousal-Expectancy-Power-Valence emotional space. Our model using 6 novel disfluency features yields si...

as a culture-based phenomenon which involves both linguistic and social aspects, translation has been investigated from various perspectives. the present critical discourse analysis (cda)-based study is an attempt to probe into the manipulation of ideologies in translations of political texts. a cda approach, based on fairclough (1989), van dijk (2004) and farahzad (2007), was adopted to conduc...