In this work, we propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection over unlabeled HTTP traffic streams in computer networks. The framework holds potential for self-managing: self-labeling, self-updating and self-adapting. Our framework employs the Affinity Propagation (AP) algorithm to learn a subject’s behaviors through dynamical c...

Steel rolling process control is the key working procedure of the steel yield process, and that the control of the rolling process is the important factor to affect the quality and cost of the product. This paper is focus on the mill control. Firstly, the model of the mill is founded by exponential smoothing. Then, the method of self-learning optimization can be used to control the model. The o...

Objectives: Motivational and self-presentational processes pervade all aspects of our lives including exercise behaviors. Furthermore, trait perfectionism has been shown to heighten self-presentational tendencies and energize achievement striving (Flett & Hewitt, 2002; Hewitt et al., 2003). How maladaptive and adaptive perfectionism traits relate to these cognitive and behavioral processes spec...

objective: the purpose of this study was to examine the impact of early family-centered psychological and educational interventions on adaptive behaviors in children with down syndrome (ds). method: utilizing an experimental pretest-posttest control group design, parents of 36 children with ds were selected in isfahan. vineland adaptive behavior scale was used to assess adaptive behavior. resul...

in this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. this adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. in addition, an important feature of the proposed structure is that the conventional bias existing ...

Self-adaptive software is considered as the most advanced approach and its development attracts a lot of attention. Decentralization is an effective way to design and manage the complexity of modern self-adaptive software systems. However, there are still tremendous challenges. One major challenge is to unify decentrality with traditional self-adaptive implementation framework during design and...

This paper describes a method for noise removal from ultrasonic signals used in NDE (Non Destructive Evaluation) applications. The method used is FPGA based adaptive noise cancellation. Indeed adaptive filtering is one of the core technologies in digital signal processing. We can find numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide ...

In this paper, we propose a new step size rule to accelerate Yan et al.’s self-adaptive projection method. Under the new step size strategy, the superiority of modified projection method is verified through theory to numerical experiments.

A method of self-adaptive mutation, crossover and selection was implemented and applied in four genetic algorithms. So developed self-adapting algorithms were then compared, with respect to convergence, with a traditional genetic one, which contained constant rates of mutation and crossover. The experiments were conducted on six benchmark functions including two unimodal functions, three multim...