National Repository of Grey Literature 7 records found  Search took 0.00 seconds. 
Generation of Skin Diseases into the Synthetic Fingerprints from Anguli
Míšová, Miroslava ; Kanich, Ondřej (referee) ; Drahanský, Martin (advisor)
This bachelor thesis deals with skin diseases affecting fingers and palms. For this thesis dyshidrotic eczema and hyperkeratosis has been chosen. Fingerprints with these diseases from database of research group STRaDe is analyzed. Procedure, how to generate this diseases into fingerprints with generator Anguli, is proposed. Procedure is implemented and evaluated by tests of algorithms for fingerprints comparison.
Generation of Skin Disease into the Synthetic Fingerprints
Bárta, Milan ; Kanich, Ondřej (referee) ; Drahanský, Martin (advisor)
The thesis deals with design and implementation of a tool for simulating marks of chosen skin diseases into a synthetic fingerprint. The diseases selected to work with are warts and atopic eczema. The marks of diseases are generated into a synthetic fingerprint image created by the SFinGe application. Existing disesase-affected fingerprints from the STRaDe database are analysed in detail. Then, methods for simulating the diseases into a synthetic fingerprint are proposed, implemented, and the results are evaluated.
Issues of atopic dermatitis in context of nutrition
HAVLOVÁ, Ivona
The topic of my bachelor's thesis is "Issues of atopic dermatitis in context of nutrition." Atopic dermatitis is a type of skin inflammation in moist areas (back of the knee, inner elbow, groin). Skin health is affected by factors including the weather, textile and diet. Data were gathered using a qualitative research and snowball sampling. A survey was conducted among nine respondents, each providing information on the food they ate for a week. The goal was to map atopic dermatitis in the context of nutrition. The practical part of the thesis focused on what foods seem to be the most problematic for respondents. The survey showed these include citrus fruit, sweets, highly processed foods and especially alcohol. Respondents said that wine was the most problematic among alcoholic beverages. A few respondents mentioned nuts, soya and dairy. Seasons also have an impact on the atopic dermatitis incidence, with winter posing the biggest problem and summer following. A link between atopic dermatitis and the weather has not been properly studied and cannot be confirmed. The food analysis was recorded in the Nutriservis app. Data were entered into an Excel table that includes energy and macronutrient values of individual meals. The analysis shows that most respondents eat bread/rolls with ham or cheese, or cereal for breakfast. Snacks are similar but smaller than breakfasts. Lunches and dinners are often home-made meals consisting of good polysaccharides (rice, pasta, potatoes), meat (mostly chicken) and vegetables. The analysis reveals often unbalanced energy intake over the week, mostly because of alcohol consumption. Most respondents eat enough fruit and vegetables.
Generation of Skin Diseases into the Synthetic Fingerprints from Anguli
Míšová, Miroslava ; Kanich, Ondřej (referee) ; Drahanský, Martin (advisor)
This bachelor thesis deals with skin diseases affecting fingers and palms. For this thesis dyshidrotic eczema and hyperkeratosis has been chosen. Fingerprints with these diseases from database of research group STRaDe is analyzed. Procedure, how to generate this diseases into fingerprints with generator Anguli, is proposed. Procedure is implemented and evaluated by tests of algorithms for fingerprints comparison.
Generation of Skin Disease into the Synthetic Fingerprints
Bárta, Milan ; Kanich, Ondřej (referee) ; Drahanský, Martin (advisor)
The thesis deals with design and implementation of a tool for simulating marks of chosen skin diseases into a synthetic fingerprint. The diseases selected to work with are warts and atopic eczema. The marks of diseases are generated into a synthetic fingerprint image created by the SFinGe application. Existing disesase-affected fingerprints from the STRaDe database are analysed in detail. Then, methods for simulating the diseases into a synthetic fingerprint are proposed, implemented, and the results are evaluated.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.