An improved method for determining the stability of interval matrices

2000 ◽  
Vol 31 (2) ◽  
pp. 171-176 ◽  
Author(s):  
R. Ghosh ◽  
S. Sen ◽  
K. B. Datta
2013 ◽  
Vol 347-350 ◽  
pp. 2442-2446
Author(s):  
Xiao Yin Xu ◽  
Li Hong Ren ◽  
Yong Sheng Ding

In this paper, we use GA to improve the D-S evidence theory, and apply the improved D-S evidence theory to VIP intelligent recognition and recommendation system. In the VIP intelligent recognition and recommendation system of clothes, there are three main evidences: body size, personal preferences, and purchase records. So collision often happens inevitable. This requirement asks us to find out a suitable method to identify the VIPs needs. D-S evidence theory can improve the rate of identification, but has no idea about the collision. The improved D-S evidence theory based on genetic algorithm can deal with the collision evidence and improve the rate of the identification and the stability. As such we can provide VIP more suitable recommendation. The experiment results of clothes recommendation demonstrate the flexibility of the improved method.


1981 ◽  
Vol 10 (6) ◽  
pp. 343-356 ◽  
Author(s):  
Carmen G. Vallejo ◽  
Rosario Perona ◽  
Rafael Garesse ◽  
Roberto Marco

2014 ◽  
Vol 30 (4) ◽  
pp. 1467-1485 ◽  
Author(s):  
Yufeng Gao ◽  
Yongxin Wu ◽  
Dayong Li ◽  
Ning Zhang ◽  
Fei Zhang

In dynamic analyses of important structures, seismic input may be defined in the form of time series. It is required that the response spectrum of this input time series be compatible with a specified target response spectrum. Time domain spectral matching, which is used to generate spectrum compatible acceleration time series, is investigated in some detail. First, a new, improved wavelet is presented, and the new adjustment wavelet can prevent drifts in the resulting velocity and displacement time series without applying a baseline correction. Next, the analytical solution of the matrix accounting for the cross correlation of each wavelet is given in order to ensure the speed of the matching procedure. Finally, some aspects, such as the reduction factors and the matching order, are discussed to ensure the stability and efficiency of the matching procedure. Accordingly, the characteristics of the matching procedure are illustrated by numerical examples.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jiyang Ye ◽  
Bowen Huang ◽  
Xiaolong Chen

The development of personalized medical systems should be supported by a fast and stable network system. The FAST TCP network system is the appropriate support system for this purpose. However, when the FAST TCP is deployed, the static mapping selection method for protocol parameters is unable to guarantee the small queuing delay and fast convergence of the network simultaneously. By conducting theoretical analysis and simulation experiments, the relationships among FAST TCP protocol slow start condition, control law gain parameters, and FAST TCP system convergence rate were examined. To ensure the stability of the FAST TCP system and to select the smallest protocol parameters, an improved method to effectively accelerate the convergence velocity of the FAST TCP system is proposed in this study. In this method, the number of packets for staying in the buffer for FAST TCP connections was taken as the criterion of the slow start, and the gain parameter of the control law was dynamically adjusted according to the local information of each FAST TCP connection. Using this improved method, the FAST TCP system can achieve a stable and small queuing delay, whilst the FAST TCP system could converge quickly to the equilibrium point simultaneously.


2006 ◽  
Vol 153 (4) ◽  
pp. 478-482 ◽  
Author(s):  
G. Franzè ◽  
A. Balestrino ◽  
L. Carotenuto

Entropy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 322 ◽  
Author(s):  
Xiao Chen ◽  
Xin Jin ◽  
Ke Shang ◽  
Zhijing Zhang

Assembly accuracy and accuracy stability prediction are significant research directions for improving the reliability and efficiency of precision assembly. In this study, an improved method for assembly accuracy stability prediction, based on the contact-pressure distribution entropy, is presented. By using the contact-pressure distribution as the evaluation parameter instead of the strain-energy distribution, the improved method can not only predict the assembly accuracy of precision assembly more efficiently, but also predict the stability of the assembly accuracy with variations in the ambient temperature. The contact pressure has a clearer mechanical significance than strain energy density in the assembly process, which can be used to distinguish the actual contact area from the contact surface. Hence, the improved method is more efficient and accurate than the original. This study utilizes the same case used in the original method and an additional case from the actual production process to verify the improved method. The correctness and validity of the improved method are proved by these case studies.


2010 ◽  
Vol 55 (36) ◽  
pp. 4120-4124 ◽  
Author(s):  
XiaoYan Zheng ◽  
BinSheng Yang

1993 ◽  
Vol 20 (5) ◽  
pp. 345-351 ◽  
Author(s):  
Kaining Wang ◽  
Anthony N. Michel

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