Use of RSM technology for the optimization of received signal strength for LTE signals under the influence of varying atmospheric conditions

S Choudhary, A Sharma, S Gupta, H Purohit, S Sachan - 2020 - catalog.lib.kyushu-u.ac.jp
In the field of telecommunication, network planning plays an important role to maximize the
system performance and it is very much related to received signal strength (RSS). While …

Validation of Sentinel-2 fAPAR products using ground observations across three forest ecosystems

B Putzenlechner, S Castro, R Kiese, R Ludwig… - Remote Sensing of …, 2019 - Elsevier
Abstract Accurate estimates of Essential Climate Variables (ECV) such as the fraction of
Absorbed Photosynthetically Active Radiation (fAPAR) are essential for assessing global …

On cost-efficient sensor placement for contaminant detection in water distribution systems

D Zeng, L Gu, L Lian, S Guo, H Yao… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In recent years, water pollution or contamination incidents happened frequently, causing
serious disasters and negative social impact. To reduce the water contamination risk, water …

Assessing the variability and uncertainty of two-flux FAPAR measurements in a conifer-dominated forest

B Putzenlechner, P Marzahn, R Kiese, R Ludwig… - Agricultural and Forest …, 2019 - Elsevier
The estimation of the Fraction of Absorbed Active Radiation (FAPAR) and its uncertainties is
key for understanding global carbon balances. This work investigates the variability and …

Fractional vegetation cover derived from UAV and Sentinel-2 imagery as a proxy for in situ FAPAR in a dense mixed-coniferous forest?

B Putzenlechner, P Marzahn, P Koal… - Remote Sensing, 2022 - mdpi.com
The fraction of absorbed photosynthetic active radiation (FAPAR) is an essential climate
variable for assessing the productivity of ecosystems. Satellite remote sensing provides …

[HTML][HTML] Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR

B Putzenlechner, P Marzahn… - International Journal of …, 2020 - Elsevier
Abstract The fraction of Absorbed Photosynthetically Active Radiation (fAPAR) is a crucial
variable for assessing global carbon balances and currently, there is an urgent need for …

An Adaptive Vehicle Detection Algorithm Based on Magnetic Sensors in Intelligent Transportation Systems.

B Xu, J Zheng, Q Wang, Y **ao… - Adhoc & Sensor …, 2017 - search.ebscohost.com
Urban traffic congestion has become a very common phenomenon. In order to solve this
problem, it is necessary to obtain the traffic data effectively. In this paper, we propose an …

Adaptive dynamic programming-based multi-sensor scheduling for collaborative target tracking in energy harvesting wireless sensor networks

F Liu, W **ao, S Chen, C Jiang - Sensors, 2018 - mdpi.com
Collaborative target tracking is one of the most important applications of wireless sensor
networks (WSNs), in which the network must rely on sensor scheduling to balance the …

Multi-sensor scheduling for target tracking based on constrained ADP in energy harvesting WSN

F Liu, C Jiang, S Chen, W **ao - 2018 13th IEEE conference …, 2018 - ieeexplore.ieee.org
With the development of energy harvesting technologies, the building of wireless sensor
networks (WSN) based on energy harvesting has become possible, and helps to weaken …

Relay node deployment for wireless sensor networks using evolutionary multi-objective algorithm

Q Wang, HL Liu, F Gu - International Journal of Sensor …, 2019 - inderscienceonline.com
In this paper, we study the relay node placement problem of, given a deployment of sensor
nodes, finding the minimum number of relay nodes to increase the lifetime and reduce the …