Predictive FBLMS adaptive algorithms for tracking mobile channels

Author(s):  
Qassim Nasir ◽  
Kasim Rashid
2020 ◽  
Vol 28 (3) ◽  
pp. 267-273
Author(s):  
E. S. Kaznacheeva ◽  
V. M. Kuz’kin ◽  
G. A. Lyakhov ◽  
S. A. Pereselkov ◽  
S. A. Tkachenko
Keyword(s):  

Author(s):  
Carlos Adrian Gutierrez Diaz de Leon ◽  
José Trinidad Gutierrez-Mena ◽  
José Martin Luna Rivera ◽  
Daniel Ulises Campos Delgado

Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 176
Author(s):  
Wei Zhu ◽  
Xiaoyang Zeng

Applications have different preferences for caches, sometimes even within the different running phases. Caches with fixed parameters may compromise the performance of a system. To solve this problem, we propose a real-time adaptive reconfigurable cache based on the decision tree algorithm, which can optimize the average memory access time of cache without modifying the cache coherent protocol. By monitoring the application running state, the cache associativity is periodically tuned to the optimal cache associativity, which is determined by the decision tree model. This paper implements the proposed decision tree-based adaptive reconfigurable cache in the GEM5 simulator and designs the key modules using Verilog HDL. The simulation results show that the proposed decision tree-based adaptive reconfigurable cache reduces the average memory access time compared with other adaptive algorithms.


Author(s):  
Nelson Mauro Maldonato ◽  
Alessandro Chiodi ◽  
Donatella di Corrado ◽  
Antonietta M. Esposito ◽  
Salvatore de Lucia ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Syed Waqar Haider ◽  
Guijun Zhuang ◽  
Hammad bin Azam Hashmi ◽  
Shahid Ali

Advances in technology have led to a spurt in tech-savvy consumers displaying increasingly complex behavior. In the past, consumers concluded their search and purchases at a single physical store. Nowadays, however, they possess a number of digital devices (desktops and/or mobiles) through which they can switch channels seamlessly to search for information and make a purchase. There are very few studies that investigate desktop and mobile channels separately; this is perhaps the first study that examines the effect of chronotypes (evening- and morning-type individuals) on a sample of Chinese university students using online and mobile channels in the omnichannel process. The results from a sample of 311 digital shoppers (desktops and/or mobiles) confirm that the mobile channel offers greater task-technology fit to evening-type respondents and desktop channels present better task-technology fit to morning-type respondents to engage in the omnichannel process. Furthermore, this study discussed contributions and insights for managers to develop an effective omnichannel strategy.


2021 ◽  
pp. 103087
Author(s):  
Gangyi Huang ◽  
Minglin Shen ◽  
Tao Zhang ◽  
Fuliang He ◽  
Shiyuan Wang

AIP Advances ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 065131
Author(s):  
Bingsen Xue ◽  
Xingming Zhang ◽  
Yunzhe Xu ◽  
Yehui Li ◽  
Hongpeng Zhang ◽  
...  

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