Applications in Electronics Pervading Industry, Environment by Alessandro De Gloria
By Alessandro De Gloria
This ebook offers a radical evaluate of state-of-the-art examine on electronics purposes suitable to undefined, the surroundings, and society at huge. a large spectrum of software domain names are coated, from car to area and from healthiness to safety and specific realization is dedicated to using embedded units and sensors for imaging, conversation and regulate. The e-book relies at the 2014 APPLEPIES convention, held in Rome, which introduced jointly researchers and stakeholders to think about the main major present tendencies within the box of utilized electronics and to discuss visions for the longer term. parts coated through the convention integrated info conversation expertise; biotechnology and biomedical imaging; area; safe, fresh and effective power; the surroundings; and clever, eco-friendly and built-in delivery. As electronics know-how maintains to improve apace, regularly assembly formerly unthinkable goals, extra recognition should be directed towards the electronics functions and the advance of structures that facilitate human actions. This ebook, written by means of business and educational pros, will expectantly give a contribution during this endeavor.
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Extra info for Applications in Electronics Pervading Industry, Environment and Society: APPLEPIES 2014
In  malware detection is implemented by using SVM classiﬁers; the paper reported a 93 % of detection rate on unknown malware. In fact, the authors did not exploit a publicly available database; hence, a direct comparison with the framework introduced in the present work cannot be performed. 5 Conclusions Day-by-day mutations of malicious software represent a challenging issue when developing a malware detection system. This paper introduced a ML-based approach to malware detection that can tackle this aspect.
Introduction Functional Near InfraRed Spectroscopy (fNIRS) is an imaging technique for human brain monitoring. It is employed both in clinical medicine and in research laboratories in order to measure the oxygenation status of the brain. Whereas light in the fNIRS range (650–900 nm) is poorly absorbed by organic tissues, water and lipid, the main bio-molecular absorbers are blood chromophores, as the case of oxygenated and deoxygenated haemoglobin (HbO2 and Hb, respectively). In particular, both concentration variations of the latter, provide important information on brain activity.
In our CW-fNIRS system, the LED sources illuminate the tissue under test with a constant optical power. Light beam propagates inside the various layers constituting the head, up to the grey matter, where it mostly bends thus the SiPMs are able to capture the scattered and outgoing optical signal. The μC also performs a preliminary data ﬁltering in view of a next post-processing and plotting. The acquisition process is implemented by following the time sharing polling schedule, presented in Fig.