Results 11 to 20 of about 1,670,871 (318)

Energy-Efficient Connected-Coverage Scheme in Wireless Sensor Networks

open access: yesSensors, 2020
In the wireless sensor network, the lifetime of the network can be prolonged by improving the efficiency of limited energy. Existing works achieve better energy utilization, either through node scheduling or routing optimization.
Yun Xu, Wanguo Jiao, Mengqiu Tian
doaj   +1 more source

Analytical Model to Predict Residual Flexural Capacity of Recycled Aggregate Concrete Beams with Corroded Longitudinal Rebars

open access: yesAdvances in Materials Science and Engineering, 2020
This paper presents the results of research on the flexural behavior of recycled aggregate concrete (RAC) beams. The correlation between flexural behavior and the corrosion level of longitudinal rebar was analysed.
Zhenghao Zou, Guojiao Yang, Tian Su
doaj   +1 more source

Personal‐specific gait recognition based on latent orthogonal feature space

open access: yesCognitive Computation and Systems, 2021
Exoskeleton has been applied in the field of medical rehabilitation and assistance. However, there are still some problems in the interaction between human and exoskeleton, such as time delay, the existence of certain constraints on the human body, and ...
Quan Zhou   +7 more
doaj   +1 more source

Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility

open access: yesInformation, 2023
Dimensionality reduction and producing simple representations of electroencephalography (EEG) signals are challenging problems. Variational autoencoders (VAEs) have been employed for EEG data creation, augmentation, and automatic feature extraction.
Taufique Ahmed, Luca Longo
doaj   +1 more source

Principal loading analysis [PDF]

open access: yesJournal of Multivariate Analysis, 2021
This paper proposes a tool for dimension reduction where the dimension of the original space is reduced: a Principal Loading Analysis (PLA). PLA is a tool to reduce dimensions by discarding variables. The intuition is that variables are dropped which distort the covariance matrix only by a little.
Bauer, Jan O., Drabant, Bernhard
openaire   +3 more sources

Research on wireless acquisition and analysis system of gateway table data based on improved ACO algorithm [PDF]

open access: yesE3S Web of Conferences
In the past two years, due to the frequent combination of extreme weather and high primary energy prices and other factors, resulting in the continuous tension of power supply and demand in many places, the risk of power rationing has gradually increased.
An Chao, Wang Minzhe, Lv Lianxin
doaj   +1 more source

Study of the Stability of Palletized Cargo by Dynamic Test Method Performed on Laboratory Test Bench

open access: yesSensors, 2021
The paper presents a method and results of experimental testing of the stability of palletized cargo wrapped in stretch film in laboratory conditions and methods and parameterization of its application for proper cargo securing. Reduction of stretch film
Sławomir Tkaczyk   +3 more
doaj   +1 more source

The effect of hydrostatic pressure on grain refinement and deformation behaviors of Mg–Gd–Y–Zn–Zr alloy under complex shear stress

open access: yesJournal of Materials Research and Technology, 2023
The effects of hydrostatic pressure on grain refinement and deformation behaviors of Mg–13Gd–4Y–2Zn–0.5Zr alloy were investigated. With the increase of hydrostatic pressure, the equivalent stress and forming load increase, and stress triaxiality also ...
Zhaocan Li   +4 more
doaj   +1 more source

Research on the construction of load management system for power supply guarantee target [PDF]

open access: yesE3S Web of Conferences
In the past two years, due to the frequent combination of extreme weather and high primary energy prices and other factors, resulting in the continuous tension of power supply and demand in many places, the risk of power rationing has gradually increased.
Guo Linlang, An Chao, Huang Yihao
doaj   +1 more source

On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps

open access: yesMachine Learning and Knowledge Extraction, 2022
Electroencephalography (EEG) signals can be analyzed in the temporal, spatial, or frequency domains. Noise and artifacts during the data acquisition phase contaminate these signals adding difficulties in their analysis.
Arjun Vinayak Chikkankod, Luca Longo
doaj   +1 more source

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