Generally, the existing Intrusion Detection Systems (IDS) solutions suffer from low detection accuracy for some attack types compared with overall of attacks. The data imbalance technically affects ratio frequent attacks class (e.g. zero-day attack) to more instances. Therefore, IDS-based machine learning algorithms potentially high false-positive rates. To overcome limitation solutions, a hype...

From the most important issues in the design of large logistics network in times of crisis are providing a timely quick reaction for treating of injured people and the rapid distribution of medicines and medical equipment. In this paper, a multi-objective model is presented that aims to determine the location of transfer points and hospitals to provide timely quick reaction for treating injured...

State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...

as technology scales deep into the nanometer regime, on-chip communication becomes more susceptible to transient noise sources, such as crosstalk, external radiation, and spurious voltage spikes. the network on chip s modularity and reusability has brought about the use of error control methods to address transient errors in network on chip links.in this work, we design a fault tolerance router...

triple helix model (th) collaborations involving university, industry and government provide a networked infrastructure for shaping the dynamic fluxes of knowledge base of innovations locally and these fluxes remain emergent within the domains. in this article first the knowledge-based economy, national system of innovation, and three models of uig relations which represent different triple hel...

this paper deals with the problem of optimizing two-stage structure decision making units (dmus) where the activity and the performance of two-stage dmu in one period effect on its efficiency in the next period. to evaluate such systems the effect of activities in one period on ones in the next term must be considered. to do so, we propose a dynamic dea approach to measure the performance of su...

guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of intelligent transportation systems (its). nowadays, many complex systems can be controlled by using multi agent systems. adaptation with the current condition is an important feature of the agents. in this research, formulation of dynamic guidance for vehicles has been investigated based...

on one hand, oil is the greatest energy resource in the world and, on the other hand, because of the role of oil revenue in the economic of oil producer countries, such as iran,it is vital for these countries. so it is necessary to recognize different affective parameters on oil market for these countries. in this research, we try to forecast oil price as an important variable in world wide oil...