In this paper we consider a new approach to network intrusion detection. Conventional network intrusion detection systems (NIDS) are software based. We propose to selectively implement portions of the functionality of a state-of-the-art software NIDS in reconfigurable hardware. This increases performance even under hostile loads and will enable efficient intrusion detection in future multi-giga...

the purpose of this paper is to survey of muslim consumer behavior with respect to a given portfolio. in other words, in this paper, a set of specified assets with returns in certain state be considered as the individual's budget constraint. in this regard, factors affecting the portfolio selection by the individual in islamic economics will be discussed. also the subject of consumption in...

The current situation in the market caused by COVID-19 pandemic brings new challenges. Lean management showed its deficiency form of low stock (JIT/JIS) already during tsunami 2011 Japan, when leader LEAN Toyota withdrew from zero order to be able respond agilely serious supply disruptions. unfavourable is a global problem that requirements ensure competitiveness companies. A possible response ...

We consider the problem of lifelong learning from an indefinite stream of temporal episodes, i.e. a time series consisting of episodes, where the number of the episodes is potentially infinite and the length of each episode varies. Examples of this class of learning include a humanoid robot that continually learns to imitate various human behaviors [7], a computer music system that learns to co...

providing a high-quality service for transmission and playing real-time voice conversations (voice streaming) over wireless ad-hoc networks is no mean feat. buffering together with adjusting the playout time of the packets is a receiver-side solution to overcome this challenge. in this paper, a new adaptive playout adjustment algorithm is proposed to stream the voice conversations over wireless...

Reach-scale stream restorations are becoming a common approach to repair degraded streams, but the effectiveness of these projects is rarely evaluated or reported. We surveyed governmental, private, and nonprofit organizations in the state of Indiana to determine the frequency and nature of reach-scale stream restorations in this midwestern U.S. state. For 10 attempted restorations in Indiana, ...

Deep reinforcement learning agents have achieved state-of-the-art results by directly maximising cumulative reward. However, environments contain a much wider variety of possible training signals. In this paper, we introduce an agent that also maximises many other pseudo-reward functions simultaneously by reinforcement learning. All of these tasks share a common representation that, like unsupe...