Results 1 to 10 of about 628,728 (147)

Research progress of online monitoring techniques for dissolved gas analysis in insulating oil [PDF]

open access: yesFrontiers in Chemistry
Dissolved gas analysis (DGA) in insulating oil can achieve early warning of local discharge, overheating or arc failure in transformers. It can also quantitatively evaluate the aging degree of insulating equipment, providing a basis for formulating ...
Hua Mao   +13 more
doaj   +2 more sources

Online network monitoring [PDF]

open access: yesStatistical Methods & Applications, 2021
AbstractAn important problem in network analysis is the online detection of anomalous behaviour. In this paper, we introduce a network surveillance method bringing together network modelling and statistical process control. Our approach is to apply multivariate control charts based on exponential smoothing and cumulative sums in order to monitor ...
Anna Malinovskaya, Philipp Otto
openaire   +4 more sources

Non-target Identification of Organic Compounds in Water of Taihu Lake Based on GC×GC-TOF MS [PDF]

open access: yesZhipu Xuebao, 2023
Organic pollutants are often enriched in rivers and lakes, which significantly affect human health. In this study, water samples from 18 sampling sites in the Taihu Lake basin were analyzed using a non-targeted screening method based on two-dimensional ...
YOU Yi-nong;HUANG Yi-hua;CHEN Hong-zhan;ZHANG Hui;LI Jia-qi;CHENG Chun-lei;LI Mei
doaj   +1 more source

Wake-Up Receiver-Based Routing for Clustered Multihop Wireless Sensor Networks

open access: yesSensors, 2022
The Wireless Sensor Network (WSN) is one of the most promising solutions for the supervision of multiple phenomena and for the digitisation of the Internet of Things (IoT).
Maximilian Weber   +3 more
doaj   +1 more source

Online Biofilm Monitoring [PDF]

open access: yesReviews in Environmental Science and Biotechnology, 2003
A review of online biofilm monitoring techniques is presented focusing on methods based on differential turbidimetry, light scattering, heat transfer, pressure drop, real-time measurement of metabolic products, image analysis, radiation signals (spectroscopy, fluorometry, photoacoustic spectroscopy, etc.), electric and mechanical (vibration) signals ...
Peter Janknecht, Luís F. Melo
openaire   +2 more sources

Analytical and Experimental Performance Analysis of Enhanced Wake-Up Receivers Based on Low-Power Base-Band Amplifiers

open access: yesSensors, 2022
With the introduction of Internet of Things (IoT) technology in several sectors, wireless, reliable, and energy-saving communication in distributed sensor networks are more important than ever.
Lydia Schott   +4 more
doaj   +1 more source

An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers

open access: yesSensors, 2023
Wake-up receivers are gaining importance in power-aware wireless sensor networks, as they significantly reduce power consumption during RF reception, enabling asynchronous communication with low latency.
Robert Fromm, Olfa Kanoun, Faouzi Derbel
doaj   +1 more source

Automatic and Online Pollen Monitoring [PDF]

open access: yesInternational Archives of Allergy and Immunology, 2015
<b><i>Background:</i></b> Pollen are monitored in Europe by a network of about 400 pollen traps, all operated manually. To date, automated pollen monitoring has only been feasible in areas with limited variability in pollen species. There is a need for rapid reporting of airborne pollen as well as for alleviating the workload of
Jose Oteros   +8 more
openaire   +4 more sources

Research on the Effect of Non-Thermal Plasma on the Sterilization of Craft Beer

open access: yesLiang you shipin ke-ji, 2023
The craft beer was continuously sterilized by the non-thermal plasma reactor, and its sterilization and quality were evaluated. The total count of aerobic plate, yeast and Escherichia coli were used as microbial indexes, the effects of plasma ...
LYU Guang-rui   +4 more
doaj   +1 more source

Regression analysis of air pollution and pediatric respiratory diseases based on interpretable machine learning

open access: yesFrontiers in Earth Science, 2023
Air pollution is of high relevance to human health. In this study, multiple machine-learning (ML) models—linear regression, random forest (RF), AdaBoost, and neural networks (NNs)—were used to explore the potential impacts of air-pollutant concentrations
Yan Ji   +8 more
doaj   +1 more source

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