This paper examines techniques for providing adaptation in intrusion detection and intrusion response systems. As attacks on computer systems are becoming increasingly numerous and sophisticated, there is a growing need for intrusion detection and response systems to dynamically adapt to better detect and respond to attacks. The Adaptive Hierarchical Agentbased Intrusion Detection System (AHA! ...

Experiments show that players with identical information and objectives have heterogeneous behavior rules. We formulate how different beliefs arise from the same information and analyze how heterogeneous belief formation affects learning outcomes of two-person two-action coordination games. With heterogeneous belief formation, it is possible to generate enough diversity in actions for eventual ...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

The aim of this paper was to present an optimized method in order to use maximum capacity of the photovoltaic panels. In this regard, we presented a method for the maximum power point tracking in the photovoltaic systems by using the neural networks and adaptive controller. In the proposed system, we estimated an error by using neural network. If this error is lower than the allowable systems e...

A modified method for satellite attitude control system in presence of novel actuators is proposed in this paper. The attitude control system is composed of three fluidic momentum controller (FMC) actuators that are used to control Euler angles and their dynamics is considered in satellite attitude equations as well. L1 adaptive control is utilized for satellite three-axial ...

There are many methods and techniques which have been promoted to develop adaptive hypermedia systems [1]. Our model approach [2], generating adaptive courses based on learner’s profile which learner’s includes background, skills, style...etc. One of important steps in our model is to generate learning path adaptive for each learner. In this paper, we promote an algorithm based on shortest path...

Evolving fuzzy systems (EFSs) are widely known as a powerful tool for streaming data prediction. In this article, novel zero-order EFS with unique belief structure is proposed stream classification. Thanks to new structure, the model can handle interclass overlaps in natural way and better capture underlying multimodel of streams form prototypes. Utilizing data-driven soft thresholds, self-orga...

in this study the dissolved air flotation (daf) system in oil refinery was investigated for the treatment of refinery wastewater. in order to investigate sytem a labratory scale rig was built. the aim is to remove some of the wastewater pollutant materials and data modeling of cod test.the effect of several parameters on flotation efficiency namely, saturator pressure, and coagulant dose, on co...

concrete bridge deck damage detection by measurement and monitoring variables related to vibration signatures is one of the main tasks of any bridge health monitoring system (bhms). generally damage puts some detectable/discoverable signs in the parameters of bridge vibration behavior. however, differences between frequency and mode shape before and after damage are not remarkable as vibration ...