Results 51 to 60 of about 330,615 (187)

Robust soft sensors for SBR monitoring

Water Science and Technology, 2001
In wastewater treatment some process variables may be very difficult to measure directly because of the non-availability or excessive cost of sensors. An alternative is to use ‘soft sensors” that provide online estimates of these inacessible variables by calculations based on auxiliary measurable variables.
D, Zyngier, O Q, Araújo, M A, Coelho, E L, Lima   +3 more
openaire   +2 more sources

Modeling of Adaptive Multi-Output Soft-Sensors With Applications in Wastewater Treatments

IEEE Access, 2019
Given the multivariable coupling, strong nonlinearity and time-varying features in the wastewater treatment processes, adaptive strategies, including just-in-time learning (JITL), time difference (TD), and moving window (MW) methods have been chosen in ...
Jing Wu, Hongchao Cheng, Yiqi Liu, Bin Liu, Daoping Huang   +4 more
doaj   +1 more source

A distributed soft sensors model for managing vague and uncertain multimedia communications using information fusion techniques

Alexandria Engineering Journal, 2022
In wireless sensor networks it may occur that values cannot be measured directly by sensors or are costly. In those scenarios, the use of soft sensors is a promising solution, particularly when dealing with multimodal sensors that record multimedia ...
Horacio Paggi, Javier Soriano, Víctor Rampérez, Raúl Gutiérrez, Juan A. Lara   +4 more
doaj   +1 more source

A two-step multivariate statistical learning approach for batch process soft sensing

Digital Chemical Engineering, 2021
Statistical machine learning algorithms have been widely used to analyse industrial data for batch process monitoring and control. In this study, we aimed to take a two-step approach to systematically reduce data dimensionality and to design soft-sensors
Aaron Hicks, Matthew Johnston, Max Mowbray, Maxwell Barton, Amanda Lane, Cesar Mendoza, Philip Martin, Dongda Zhang   +7 more
doaj   +1 more source

Hacking the body [PDF]

, 2013
This conference paper is available to download from the publisher’s website at the link below.Hacking the Body is a proposed collaborative re-search project that explores the use of the concept of 'hacking' to repurpose and re-imagine internal signals ...
Baker, C
core  

A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics

Advanced Science
With the increasing concerns over environmental pollution and healthcare demands, biodegradable materials are showing promising applications in the field of soft robotics.
Yizhu Xie, Jiaxin Han, Xingyi Dai, Xuyang Zhang, Kangwen Xiao, Junhui Huang, Yajun Cao, Aihua Zhong, Long‐Biao Huang   +8 more
doaj   +1 more source

Recent Advances in Perceptive Intelligence for Soft Robotics

Advanced Intelligent Systems, 2023
Over the past decade, soft robot research has expanded to diverse fields, including biomedicine, bionics, service robots, human–robot interaction, and artificial intelligence. Much work has been done in modeling the kinematics and dynamics of soft robots,
Zhuofan Lin, Ziya Wang, Wenyu Zhao, Yingtian Xu, Xiaopu Wang, Tianwei Zhang, Zhenglong Sun, Lan Lin, Zhengchun Peng   +8 more
doaj   +1 more source

Fully 3D‐Printed Soft Capacitive Sensor of High Toughness and Large Measurement Range

Advanced Science
Soft capacitive sensors are widely utilized in wearable devices, flexible electronics, and soft robotics due to their high sensitivity. However, they may suffer delamination and/or debonding due to their low interfacial toughness.
Fei Xiao, Zhuoheng Wei, Zhipeng Xu, Hao Wang, Jisen Li, Jian Zhu   +5 more
doaj   +1 more source

Synchronous wearable wireless body sensor network composed of autonomous textile nodes [PDF]

, 2014
A novel, fully-autonomous, wearable, wireless sensor network is presented, where each flexible textile node performs cooperative synchronous acquisition and distributed event detection.
Knockaert, Jos, Rogier, Hendrik, Stevens, Chris, Van Torre, Patrick, Vanveerdeghem, Peter   +4 more
core   +3 more sources

Adaptive Calibration of Soft Sensors Using Optimal Transportation Transfer Learning for Mass Production and Long‐Term Usage

Advanced Intelligent Systems, 2020
Soft sensors suffer from high manufacturing tolerances and signal drift from long‐term usage, which degrades their practicality. Although deep learning has recently been proposed to address these issues, it is expensive in terms of data collection and ...
DongWook Kim, Junghan Kwon, Byungjun Jeon, Yong-Lae Park   +3 more
doaj   +1 more source