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Natural Sources in Preventive Conservation of Naturally Aged Textiles

Wendt Jan A., Indrie Liliana, Dejeu Paula, Albu Adina, Ilieș Dorina Camelia, Costea Monica, Caciora Tudor, Ilieș Gabriela, Hodor Nicolaie, Josan Ioana, Berdenov Zharas, Grama Vasile, Safarov Bahodir

Fibres & Textiles in Eastern Europe

2021

Vol. 29, no. 5 (149)

80--85

Natural antimicrobials can eliminate fungi and prevent the aging of cotton fabrics. While fungi can cause severe infections to the fabric user etc, natural antimicrobials have the advantage of not being toxic to humans. The present study showed that the essential oils of lemon (Citrus limon), lavender (Lavandula angustifolia) and mint (Mentha piperita) have inhibitory effects on yeast and mould spores on a piece of textile from Romanian cultural heritage, "ie", stored in a space within an ethnographic museum., inhibitory action against Botrytis sp., the inhibitory effect of lemon essential oil on Cladosporium sp. and that of peppermint essential oil on yeast species Rhododtorula mucilaginosa were demonstrated, respectively. Being environmentally friendly, these sources, can be tested on a large scale.

Naturalne środki przeciwdrobnoustrojowe mogą eliminować grzyby i zapobiegać starzeniu się tkanin bawełnianych. Chociaż grzyby mogą powodować poważne infekcje u użytkowników wyrobów, naturalne środki przeciwdrobnoustrojowe mają tę zaletę, że nie są toksyczne dla ludzi. Przeprowadzone badanie wykazało, że olejki eteryczne z cytryny (Citrus limon), lawendy (Lavandula angustifolia) i mięty (Mentha piperita) działają hamująco na zarodniki drożdży i pleśni na tkaninie z rumuńskiego dziedzictwa kulturowego, przechowywanej w przestrzeni muzeum etnograficznego. Przyjazne dla środowiska źródła mogą być rekomendowane do stosowania na dużą skalę.

Driving comfort assistance system considering two sensors data

Karapetkov Stanimir, Uzunov Hristo, Indrie Liliana, Zlatev Zlatin

Acta Mechanica et Automatica

2021

Vol. 15, no. 3

164--168

In the present work, a system using data from two sensors located next to the driver and to the mass centre of the bus is proposed. Three degrees of discomfort have been used – comfortable, moderately uncomfortable and very uncomfortable. These levels are set out in the questionnaire. A survey was conducted. Respondents were selected between the ages of 14 and 65 and were divided into three age groups – adults, middle-aged and young. Accelerometer systems with MPU-6500 (TDK InvenSense Corp.) sensors are used. A correlation method (CORR) and sequentially improving estimation methods are used for feature selection, which significantly reduce the number of combinations of features obtained. Selected sensor data is entered into feature vectors. These vectors are reduced by principal component analysis. Predictive models have been created that take into account the age of passengers. The use of data from two sensors and separation of the passengers according their age, leads to an increase in the accuracy of predicting passengers discomfort level (DL) of up to 98%. These results can be used to evaluate and guide the vehicle driver in order to improve his driving style. In addition, the simplified interface does not distract the driver from the road conditions. The results obtained can lead to an improvement in the parameters of the transport process, which covers the interest of the carrier related to the efficient use of vehicles, and hence the reduction of fuel consumption and harmful emissions. However, it should be recommended that, when developing systems to ensure comfort of travel, adjustments should be made to suit the age group of passengers carried on public transport buses.