Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Liansheng Tan"'
Publikováno v:
IEEE Access, Vol 12, Pp 85231-85243 (2024)
In recent years, the use of WiFi Channel State Information (CSI) for Human Activity Recognition (HAR) has attracted widespread attention, thanks to its low cost and non-intrusive advantages. Previous research mostly used models based on Convolutional
Externí odkaz:
https://doaj.org/article/7a2a4419102048a0b48d59dd88160ca5
Publikováno v:
IEEE Access, Vol 11, Pp 76913-76925 (2023)
Distributed optimization is a powerful paradigm to solve various problems in machine learning over networked systems. Existing first-order optimization methods perform cheap gradient descent by exchanging information per iteration only with single-ho
Externí odkaz:
https://doaj.org/article/a37d77734be848a2b13c9d7755b933bc
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 2, Pp 393-406 (2021)
The goal of this work is to find appropriate link scheduling schemes to achieve satisfactory end-to-end throughput in wireless multi-hop networks. The algorithm of finding the best path status bitmap is proposed to solve the throughput problem. By an
Externí odkaz:
https://doaj.org/article/deb1357c13ff4853b2cc8dabb19d7270
Publikováno v:
IEEE Access, Vol 8, Pp 114315-114329 (2020)
In multi-agent networked systems, parameter estimation problems arising in many practical applications are often required to solve Non-Linear Least Squares (NLLS) problems with the usual objective function (i.e., sum of squared residuals). The aim is
Externí odkaz:
https://doaj.org/article/1e8255115106432384db0f31c9b2e950
Publikováno v:
IEEE Access, Vol 8, Pp 161838-161846 (2020)
For the Energy harvesting (EH) transmitter equipped with a Reliable Energy Backup (REB), the following problem is challenging and important: how to minimize the amount of energy supplied by the REB, such that the harvested energy is efficiently utili
Externí odkaz:
https://doaj.org/article/386f2a89f9f9455499b1ad752c070a90
Publikováno v:
IEEE Access, Vol 6, Pp 23325-23337 (2018)
Least mean squares (LMS) adaptive algorithms are attractive for distributed environment parameter estimation problems in a smart city due to the benefits of cooperation, adaptation, and rapid convergence. To obtain a reliable estimate of the network-
Externí odkaz:
https://doaj.org/article/eef0a716670b41be90a104ff16965d96
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 248-273 (2014)
One of the most widespread and important applications in wireless sensor networks (WSNs) is the continuous data collection, such as monitoring the variety of ambient temperature and humidity. Due to the sensor nodes with a limited energy supply, the
Externí odkaz:
https://doaj.org/article/495617ddec214b3795360c19db6c3244
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
Distributed parameter estimation problem has attracted much attention due to its important foundation of some applications in wireless sensor networks. In this work, we first investigate the performance tradeoff between existing incremental least-mea
Externí odkaz:
https://doaj.org/article/5c9c3462a54d40ccaae0cd825c9ef019
Publikováno v:
Journal of Computer Networks and Communications, Vol 2012 (2012)
An important performance concern for wireless sensor networks (WSNs) is the total energy dissipated by all the nodes in the network over the course of network lifetime. In this paper, we propose a routing algorithm termed as PCA-guided routing algori
Externí odkaz:
https://doaj.org/article/9499499870644d789fe576db942675e0
Autor:
Liansheng Tan
A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies on some regular models. The book supports that in H