Hui C.,Shenyang University |
Chao H.H.,CAS Shenyang Institute of Computing Technology
Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012 | Year: 2012
To monitor Session Initiation protocol (SIP) traffic effectively, a statistical approaches-based traffic monitoring solution is proposed in this paper. According to the process of SIP session, Chi-square statistic is used for monitoring the anomaly of SIP traffic. It classifies the anomaly reason using entropy theory. SIP packets are captured utilizing the kernel SIP packet filtering technology. Experimental result shows that this solution of SIP traffic monitoring is feasible and effective. © the authors.
Zhang Y.-W.,CAS Shenyang Institute of Computing Technology |
Zhang Y.-W.,University of Chinese Academy of Sciences |
Guo R.-F.,University of Chinese Academy of Sciences
Journal of Systems and Software | Year: 2014
In this paper, we consider the generalized power model in which the focus is the dynamic power and the static power, and we study the problem of the canonical sporadic task scheduling based on the rate-monotonic (RM) scheme. Moreover, we combine with the dynamic voltage scaling (DVS) and dynamic power management (DPM). We present a static low power sporadic tasks scheduling algorithm (SSTLPSA), assuming that each task presents its worst-case work-load to the processor at every instance. In addition, a more energy efficient approach called a dynamic low power sporadic tasks scheduling algorithm (DSTLPSA) is proposed, based on reclaiming the dynamic slack and adjusting the speed of other tasks on-the-fly in order to reduce energy consumption while still meeting the deadlines. The experimental results show that the SSTLPSA algorithm consumes 26.55-38.67% less energy than that of the RM algorithm and the DSTLPSA algorithm reduces the energy consumption up to 18.38-30.51% over the existing DVS algorithm. © 2014 Elsevier Inc.
San H.,Shenyang University of Technology |
Fei J.,CAS Shenyang Institute of Computing Technology
Procedia Engineering | Year: 2012
The generation of the driving schedules of CCD is the key of the application of CCD. Based on SCM a practical design of TCD1208AP driving circuit and its schedules simulation were given. The hardware circuit is simple and reliable. © 2011 Published by Elsevier Ltd.
Zhang Y.,Jining University |
Li P.,Jining University |
Wu W.-J.,CAS Shenyang Institute of Computing Technology
Procedia Engineering | Year: 2012
Considering changes, strong interference of load torque and moment of inertia for alternating current position servo system, a single neuron PID and sliding mode parallel compound control strategy is proposed. The parallel architecture that consists of a sliding mode variable structure controller of the position loop and the single neuron PID controller is designed. Sliding mode control inhibits the parameter perturbations and load disturbance, single neuron PID control realizes the online adjustments of the proportional, integral, differential parameters of traditional PID controller. The simulation results show that the designed parallel compound controller can guarantee static and dynamic system performance. © 2011 Published by Elsevier Ltd.
Lin H.,CAS Shenyang Institute of Computing Technology |
Peng Y.,CAS Shenyang Institute of Computing Technology |
Peng Y.,University of Chinese Academy of Sciences
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | Year: 2011
The purpose of the multi-objective optimization is to quickly find out the Pareto optimal solutions which converge to the ideal Pareto front with a good performance in diversity. Based on the immune clonal theory, this paper introduces the fitness sharing strategy; and then a new multi-objective optimization evolutionary algorithm with good performance in diversity is proposed for maintaining the diversity of solutions. The proposed algorithm employs an external archive to preserve the non-dominated solutions. The principle which includes sharing fitness and Pareto domination is used to update the external archive mentioned above and select the active antibodies for generating offspring. Moreover, for enhancing the search ability in the decision space, this paper introduces the good-point-searching approach which can generate the good-point set with uniform distribution. The proposed algorithm is tested on several multi-objective optimization problems and compared with many classical methods; much better performances in both the convergence and diversity of obtained solutions are observed.