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The use of SEMG has become widespread because of its non-invasive characteristic (differently from classic EMG, it is needle free) and for the potentiality to explore muscle fibre type characteristics; in fact this method has been applied in the estimation of muscle fatigue phenomena, monitoring the physiological effects of rehabilitation and training [ 1- 6].
The model will be applied to studying air pollution phenomena (monitoring, forecasting, and scenarios) over Denmark.
Table 2 summarises the timeline of key eruptive phenomena, monitoring and phenomenological data (observables) and associated decisions by the scientific team and the public officials.
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It is noteworthy to highlight the different phenomenon monitored by the two assays: the traditional test visually detects the amount of precipitated aggregates, whereas the increase in the scattered light, on the basis of the rapid test, is due to the formation of aggregates, before precipitation occurs.
Since then, researchers in many parts of the world have confirmed similar phenomena by monitoring aquifer temperatures and have found greater temperature anomalies closer to the ground surface than at greater depths, primarily due to urbanization and climate change effects (Taniguchi et al. 1999; Huang et al. 2000; Ferguson and Woodbury 2005; Majorowicz et al. 2006).
As we ponder the phenomena of monitoring others and pouncing on their mistakes, it is also wise for us to reread the Sermon on the Mount, at Matthew 5 22, for example, where we are instructed to forgive our brothers and sisters before we expect to get any satisfaction from the Lord.
To address the challenges and meet the objective of the maximization of weighted sensing coverage, we propose a novel scheme, namely VirFID (Virtual Force (VF -based Interest-DriVF -basedg phenomenon monitoring).
Pressure sensors and a high-speed camera were used to analyze the causes of such a phenomenon by monitoring the bubble breakup process at outlet.
In all these applications, the primary goal of a WSN is to collect useful information by monitoring phenomena in the surrounding environment.
An easy way to identify these phenomena is by monitoring machining processes, such as the measurement of cutting force, temperature and vibration.
They are primarily dedicated to collect data from physical phenomena such as monitoring global warming and send them to a base station (also called the sink) [1]. Figure 1 shows an example of a WSN composed of ten sensor nodes deployed randomly around a base station.
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