Delay Tolerant Networks (DTNs) aim to increase messages delivery ratio in environments where it is not possible to establish an end-to-end connection. Although the research of new DTN routing protocols has been gaining some relevance, those protocols usually assume that nodes in a network will collaborate. Nodes can behave selfishly, leading to the inappropriate use of resources, following up t...

Flight delay creates major problems in the current aviation system. Methods are needed to analyze the manner in which micro-level causes propagate to create system-level patterns of delay. Traditional statistical methods are inadequate to the task. This paper proposes the use of Bayesian networks (BNs) to investigate and visualize propagation of delays among airports. The BN structure was devel...

Conventional Bayesian networks often require discretization of continuous variables prior to learning. It is important to investigate Bayesian networks allowing mixed-mode data, in order to better represent data distributions as well as to avoid the overfitting problem. However, this attempt imposes potential restrictions to a network construction algorithm, since certain dependency has not bee...

Poor utilization of an electromagnetic spectrum and ever increasing demand for spectrum have led to surge of interests in opportunistic spectrum access (OSA) based paradigms like cognitive radio and unlicensed LTE. In OSA for decentralized networks, frequency band selection from wideband spectrum is a challenging task since secondary users (SUs) do not share any information with each other. In ...

Bayesian networks are a formalism for probabilistic reasonning that is more and more used for classification task in data-mining. In some situations, the network structure is given by an expert, otherwise, retrieving it from a database is a NP-hard problem, notably because of the search space complexity. In the last decade, lot of methods have been introduced to learn the network structure auto...

Smart grids (SG) represent succeeding step in modernizing this electrical grid. The communications network is combined with the Smart grid so as to collect data that may be used to increase the potency of the grid, reduce power consumption, and improve the reliability of services, among different varied benefits. Smart Grid communication networks are distinctive in their giant scale. . The Wire...

‘Steganalysis’ is one of the challenging and attractive interests for the researchers with the development of information hiding techniques. It is the procedure to detect the hidden information from the stego created by known steganographic algorithm. paper, a novel feature based image steganalysis technique is proposed. Various statistical moments have been used along with some similarity metr...

Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard statistical techniques are performed. Then Bayesian networks are applied in four steps; (1) for implementing a current procedure of economical experts, where economical variables are clustered and then summarised for c...

Adding security mechanisms to computer and communication systems without degrading their performance is a difficult task. This holds especially for wireless sensor networks, which due to their design are especially vulnerable to intrusion or attack. It is therefore important to find security mechanisms which deal with the limited resources of such systems in terms of energy consumption, computa...

In this chapter I review Bayesian statistics as used for induction and relate it to logic based abduction Much reasoning under un certainty including induction is based on Bayes rule Bayes rule is interesting precisely because it provides a mechanism for abduc tion I review work of Buntine that argues that much of the work on Bayesian learning can be best viewed in terms of graphical models suc...