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] Melnarowicz W., Doskonalenie systemu szkolenia personelu lotniczego [Improving the training system for the aviation personnel] , ITWL, Warszawa 2011. [6] Melnarowicz W., Racjonalizacja kształcenia personelu inżynieryjnolotniczego, [Rationalization of engineering-air staff training] AON, Warszawa 1992. [7] Melnarowicz W., System korelacji międzyprzedmiotowej [Inter-subject correlation system] , IDW, Warszawa 1988. [8] MEN, Kształcenie zawodowe i ustawiczne [Vocational and continuing education] , KOWEZiU, Warszawa 2010. [9] Stephen L. Yelon, Learning System Design

: 10.4314/ejhd.v24i1.65716. 3. Africa Development Bank Group (2013) Road Safety in Africa Assessment of Progresses and Challenges in Road Safety Management System . Transport and ICT Department, December 2013. - . 4. Aghajani, M.A., Dezfoulian, R.S., Arjroody, A.R. and Rezaei, M. (2017) Applying GIS to Identify the Spatial and Temporal Patterns of Road Accidents Using Spatial Statistics (Case study: Ilam Province, Iran). World Conference on Transport Research-WCTR 2016 Shanghai. 10-15 July 2016. Transportation Research Procedia , 25, 2126-2138. DOI


Quality is the essence of any product for consumer satisfaction. However, different people have different perception of quality. Eventually the definition of quality varies from product to product and thus it is much more complex in textile clothing material evaluation. The end use application of a specific clothing material determines what should be the parameters of quality evaluation. Thus, the evaluation based on subjective assessment becomes unpredictable and unquantifiable. Quality for dress materials is not simply a physical parameter but something called as psycho-physical parameter. In recent times, many objective evaluation systems have been developed to evaluate the apparel grade textile materials with regard to their quality parameters. However, the evaluation does not involve enough statistical treatment of data so as to obtain a parametric weighted characterization of complex quality. The current work deals with parametric approach to complex quality evaluation based on multicriteria decision-making approach for ladies dress materials. The ladies dress materials are of numerous varieties and choices across the globe. The selection and marketing of these kinds of textile materials need to be given proper emphasis as it depends not only on physical parameters but also on climate, geography, ethnic group, market trend, age group, gender, and many such complex parameters, which are not quantifiable in absolute terms. In this study, woven fabrics used for ladies dress materials are collected from the market and they were evaluated for the consumer-oriented property parameters. A parametric approach is adopted to quantify the overall quality of these dress materials. Various objective techniques were used to evaluate the comfort and esthetic parameters. A complex quality index (CQI) was estimated with weighted combination of all the contributing parameters and total quality index was calculated. Selected consumers with different education level, age, and gender were interviewed to get a statistic of their opinion about quality parameters preferred by them. This complex quality index/degree of satisfaction shows very high correlation with subjective judgment. A CQI can be evaluated for each kind of clothing material looking into their applications.

R eferences [1] Dickson, J.F. (1976). On-Chip high-voltage generation in NMOS integrated circuits using an improved voltage multiplier technique. IEEE Journal of Solid-State Circuits , 11 (3), 374-378. [2] Pan, F., Samaddar, T. (2006). Charge Pump Circuit Design . McGraw-Hill Education. [3] Palumbo, G., Pappalardo, D. (2010). Charge pump circuits: An overview on design strategies and topologies. IEEE Circuits and Systems Magazine , 10 (1), 31-45. [4] Matousek, D. (2014). Comparison of selected architectures of negative Charge Pumps with new design. In

R eferences [1] Dickson, J.F. (1976). On-chip high-voltage generation in NMOS integrated circuits using an improved voltage multiplier technique. IEEE Journal of Solid-State Circuits , 11 (3), 374-378. [2] Pan, F., Samaddar, T. (2006). Charge Pump Circuit Design . McGraw-Hill Education. [3] Seeman, M.D., Sanders, S.R. (2008). Analysis and optimization of switched-capacitor DC–DC converters. IEEE Transactions on Power Electronics , 23 (2), 841-851. [4] Ueno, F., Inoue, T., Oota, I., Harada, I. (1991). Emergency power supply for small computer systems. In IEEE

inductive sensor signal”, NIDays, Warszawa (2015) [5] N. Herbring at al. “Chapter 8 – Data Capture, Management and Analysis” in: “Gas Turbine Engine Test Cell Instrumentation”, Final Report of Task Group RTG-057, TR-AVT-180, (2014) [6] “Agilis AATAS Software - A complete suite of software for a high cycle fatigue testing of rotating turbo machinery from conception to data reduction” (2012) [7] “Overview of Blade Vibration Monitoring Capabilities”, Hood Technology Corporation (2011) [8] M. Zielinski

in Human Behavior, vol. 26, no. 4, pp. 581-591, 2010. [16] Image from, Retrieved Feburary 8, 2016 [17] V. J. Shute, and D. Zapata-Rivera, Adaptive educational systems, in P. Durlach (Ed.), Adaptive Technologies for Training and Education (pp. 7-27). New York: Cambridge University Press, 2012. [18] S. Oxman, and W. Wong, White paper: Adaptive Learning Systems, A white paper from DVX/ De- Vry Education Group and Integrated Education Solutions, 2014. [19] I. Adaptive Learning

and Instruction, 14(1), 89-104. [11] Wassenberg, R., Feron, J. M., Kessels, et al. (2005). Relation between cognitive and motor performance in 5 to 6 year old children: Results from a large-scale cross-sectional study. Child Development, 76, 1092-1103. [12] Ziegler, A., & Stoeger, H (2010). How Fine Motor Skills Influence the Assessment of High Abilities and Underachievement in Math. Journal for the Education of the Gifted. Prufrock Press, 34 (2), 195-219. [13] Measuring Functional Performance (2016) JTECH MEDICAL'S WEB STORE. Available: http

Vessel Segmentation in Complex-Valued Magnetic Resonance Images with Snake Active Contour Model, International Journal of EHealth and Medical Communications, vol. 1, no. 1, pp. 41-52, Jan. 2010. [5] G. Avitabile, B. Chellini, G. Fedi, A. Luchetta and S. Manetti, A neural architecture for the parameter extraction of high frequency devices, in Proc. of IEEE Int. Symposium on Circuits and Systems (ISCAS), Sidney, Australia, 2001, pp. 577-580. [6] V. Rashtchi, E. Rahimpour, and E. M. Rezapour, Using a genetic algorithm for parameter identification of transformer R

References Azhar, S., Khalfan, M., & Maqsood, T. (2015). Building information modelling (BIM): Now and beyond. Construction Economics and Building, 12(4), pp. 15-28. Bae, H., Golparvar-Fard, M., & White, J. (2013). High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications. Visualization in Engineering, 1(1), p. 3. Behzadi, A. (2016). Using augmented and virtual reality technology in the construction industry. American Journal of Engineering Research, 5