The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...

in this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. novel hybrid method coupling artificial neural network (ann) with genetic algorithm (ga) called ann-ga, was utilised. ratios of pit depth to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the hydraulic head (hh) in the observation w...

according to recent developments of predicting methodsin financial markets, and since the stock price is one of the mostimportant factors for investment decision-making, and its predictioncan play an important role in this field, the aim of this study is toprovide a model to predict the stock price movement with highaccuracy. accordingly, a hybrid model for predicting the stock pricemovement us...

improving time series forecastingaccuracy is an important yet often difficult task.both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. in this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...

Recommender systems, notably collaborative and hybrid information filtering approaches, vitally depend on neighborhood formation, i.e., selecting small subsets of most relevant peers from which to receive personal product recommendations. However, common similarity-based neighborhood forming techniques imply various drawbacks, rendering the conception of decentralized recommender systems virtua...

traditional dea models deal with measurements of relative eciency ofdmus regarding multiple - inputs vs. multiple-outputs. one of the drawbacksof these model is the neglect of intermediate products or linkong activities. af-ter pointing out needs for inclusion of them to dea models. we propose hybridmodel that can deal with intermediate products formally using this model wecan evaluate divisio...

Most of the sensor network applications in military and civilian use are surreptitious. If these are used for the benefit of society in addition to the individual needs a new set of applications can be developed. This paper describes infrastructure monitoring based on collaboration between sensor networks. The solution provides a reputation based hybrid network where collaborative trust is esta...

Community mesh networks have emerged rapidly in every metropolis around the world, however many of the security methods applied are counter-intuitive and usually disrupt the autonomous characteristics of the mesh nodes. In SOMA we present a structured Peerto-Peer solution providing authentication service based on a scalable, self-organized and fully distributed Web-of-Trust. Our proposal is a h...

A traditional service provider of telecommunications is recognized as an authority which is trusted by the subscribers and the public. Ad hoc and Peer to Peer (P2P) networks have demonstrated advantages that service provider controlled networks lack, and they also exhibit self-organizing behaviors. A pure self-organizing network does not rely on any hierarchical management. Instead, it utilizes...

In order to solve the problems of trust evaluation in the field of online auction, this paper designs a trust model composed of multi-key-factors trust path. Based on the existing trust model, this new model tries to solve the problems of no-standard, no-view and no-prevention. It divided the trust into direct trust and recommended trust. Each trust Calculation depends on its path. As we know, ...