Home > Search Results: keywords:"fractal calculus"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Organic matter impedance extraction and modeling
 Vyplel, Vojtěch ; Balada, Radek (referee) ; Šotner, Roman (advisor)
This thesis addresses the problem of extracting impedance characteristics from organic materials. The aim was to explain the modelling of impedance characteristics using non-integer models of electronic circuits. Also to explain the principle of electro impedance spectroscopy, what is a constant phase element and the Cole model. Based on this knowledge, impedance characteristics were measured and analyzed and circuit models were developed. The resulting measured data are confronted with the theoretical knowledge.
Detailed record
New Methodology Of Parkinsonic Dysgraphia Analysis By Online Handwriting Using Fractional Derivatives
 Mucha, Ján
Parkinson’s disease (PD) is the second most frequent neurodegenerative disorder. One typical hallmark of PD is disruption in execution of practised skills such as handwriting. This paper introduces a new methodology of kinematic features calculation based on fractional derivatives applied on PD handwriting. Discrimination power of basic kinematic features (velocity, acceleration, jerk) was evaluated by classification analysis (using support vector machines and random forests). For this purpose, 37 PD patients and 38 healthy controls were enrolled. In comparison to results reported in other works, we proved that FDE in online handwriting analysis brings promising improvements. The best result of multivariate analysis was achieved with 83:89% classification accuracy in combination with 5 features using only one handwriting task (overlapped circles). This study reveals an impact of fractional derivatives based features in analysis of Parkinsonic dysgraphia.
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English