The study of human behavior during driving is of primary importance for the improvement of drivers' security. This study is complex because of numerous situations in which the driver may be involved. In this paper, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver’s behavior is affected by the environment. ...

-Distributed denial of service (DDoS) attack is ongoing dangerous threat to the Internet. Commonly, DDoS attacks are carried out at the network layer, e.g., SYN flooding, ICMP flooding and UDP flooding, which are called DDoS attacks. The intention of these DDoS attacks is to utilize the network bandwidth and deny service to authorize users of the victim systems. Obtain from the low layers, new ...

Ad-hoc networks are facing increased number of security threats in recent years. Despite numerous technological advancements in wireless network security, it is still very difficult to protect the wireless ad-hoc networks because of lack of centralized traffic concentration, thus requiring monitoring the behavior of individual wireless nodes. This paper presents a behavior-based wireless networ...

When structures are subjected to strong ground motion excitations, structural elements may be prone to yielding, and consequently experience significant levels of inelastic behavior. The effects of inelastic behavior on the distribution of peak floor loads are not explicitly accounted for in current seismic code procedures. During recent years, many studies have been conducted to develop new de...

Time series unsupervised clustering is accurate in various domains, and there is an increased interest in time series clustering algorithms for human behavior recognition. The authors have developed an algorithm for biosignals clustering, which captures the general morphology of a signal’s cycles in one mean wave. In this chapter, they further validate and consolidate it and make a quantitative...

in this paper an adaptive pid controller for wind energy conversion systems (wecs) has been developed. theadaptation technique applied to this controller is based on reinforcement learning (rl) theory. nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

Abnormal crowd behavior detection is an advanced topic researched in fields of computer vision and digital image processing. The problems such as diversity of monitoring scene, different crowd density and mutual occlusion among crowds etc result in a low recognition rate for abnormal crowd behavior detection. In order to solve these problems, this paper combines a streakline model based on flui...