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A Review on Using Opportunities of Augmented Reality and Virtual Reality in Construction Project Management

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

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The HEC RAS model of regulated stream for purposes of flood risk reduction

. Retrieved December 28, 2014, from http://www.pce.sk/clanky/body_metody.htm [10] Schuckman, K. & Renslow, M. (2014). Introduction to Lasers and LIDAR. Retrieved November 16, 2014, from https://www.e-education.psu.edu/geog481/l1_p3.html [11] Hydrologic Engineering Center. (2015). HEC-RAS River Analysis System, Hydraulic Reference Manual. Version 1.0 . Institute for Water Resources: Washington DC. Retrieved January 22, 2016, from http://www.hec.usace.army.mil/software/hec-ras/documentation.aspx [12] U.S. Army Corps of Engineers. (2014). HEC-RAS River

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Review of Printed Fabric Pattern Segmentation Analysis and Application

-25. [8] Kang, W.-X., Yang, Q.-Q., Liang, R.-P. (2009). The comparative research on image segmentation algorithms. In Education Technology and Computer Science, 2009. ETCS’09. First International Workshop on. 2009. IEEE. [9] Jeon, B. S., Bae, J. H., Suh, M. W. (2003). Automatic recognition of woven fabric patterns by an artificial neural network. Textile Research Journal, 73(7), 645-650. [10] Zaitoun, N. M., Aqel, M. J. (2015). Survey on image segmentation techniques. Procedia Computer Science, 65, 797-806. [11] Gionis, A., Terzi, E. (2007

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Causes of Accident at Construction Sites in Bangladesh

-586. Teo, E. A. L., & Ling, F. Y. Y. (2006). Developing a model to measure the effectiveness of safety management systems of construction sites. Building and Environment, 41 (11), pp. 1584-1592. Toole, T. M. (2005). Increasing engineers’ role in construction safety: opportunities and barriers. Journal of Professional Issues in Engineering Education and Practice, 131 (3), pp. 199-207. Udo, U. E., Usip, E. E., & Asuquo, C. F. (2016). Effect of lack of adequate attention to safety measures on construction sites in Akwa Ibom State, Nigeria. Journal of Earth

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Journal of Electrical Engineering
The Journal of Slovak University of Technology
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Return to Vocational Education

] , ITWL, 2017. [5] 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

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Identifying Road Traffic Accidents Hotspots Areas Using GIS in Ethiopia: A Case Study of Hosanna Town

), 61-63. DOI: 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. - www.afdb.org . 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

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Multicriteria Decision-Making in Complex Quality Evaluation of Ladies Dress Material

Abstract

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.

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Data Management Techniques for Blade Vibration Analysis

) [12] “Blade Tip Timing System” Rotadata brochure, Derby (2014). [13] P. Russhard “BTT MultiTool software” http://emtd-measurement.com/ (2015) [14] P. Russhard “BTT Data Zeroing Techniques”, MFPT and ISA’s 59th International Instrumentation Symposium (2013). [15] P. A. Blume “The LabVIEW style book”. Pearson Education (2007). [16] R. Johansson “Introduction to Scientific Computing in Python”, github.com/jrjohansson/scientific-python-lectures (2014) [17] W. McKinney “Python for data analysis: Data wrangling with Pandas, NumPy, and

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