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Textile Fiber Identification Using Near-Infrared Spectroscopy and Pattern Recognition

References [1] Houck, M. M. (2010). Introduction to textile fiber identification - identification of textile fibers - 1. Australian Journal of Forensic Sciences, 42(2), 153-154. [2] Gray, F. M., Smith, M. J., Silva, M. B. (2011). Identification and characterization of textile fibers by thermal analysis. Journal of Chemical Education, 88(4), 476-479. [3] Stoeffler, S. F. (1996). A flowchart system for the identification of common synthetic fibers by polarized light microscopy. Journal of Forensic Sciences, 41, 297-299. [4] Liu, C. (2002

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Reliability monitoring of broadband access networks

.: Physical Layer Monitoring Techniques for TDM-Passive Optical Networks: A Survey, IEEE Communications Surveys & Tutorials, 2/2013, 943-958. [5] ITU-T L. 41: Maintenance wavelength on fibres carrying signals, Genewa, 2000. [6] ITU-T L. 66: Optical fibre cable maintenance criteria for in-service fibre testing in access networks, Genewa, 2007. [7] ITU-T L. 85: Optical fibre identification for the maintenance of optical access networks, Genewa, 2010. [8] Bentz C. M., Fritzsche D.: Field Trial of a Novel FTTH/PON Monitoring Technique Based on Unique

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Seismic Response of Reactive Powder Concrete Columns Confined with FRP

REFERENCES Abbassi, M. (2012) Nonlinear finite element modelling of reactive powder concrete columns retrofitted by carbon fiber reinforced polymer. MSc Thesis, Civil Engineering Dept, University of Kurdistan, Sanandaj, Iran. Abbassi, M. – Dabbagh, H. (2014) Behavior of FRP-confined reactive powder concrete columns under eccentric loading. Journal of Rehabilitation in Civil Engineering 2(1), pp. 46-64. Abdelouahed, T. (2006) Improved Theoretical solution for interfacial stresses in concrete beams strengthened with FRP plate

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Improved image processing of road pavement defect by infrared thermography

References [1] Bennett, C.A., Jr. and Patty, R. R.(1982) “Thermal wave interferometry: a potential application of the photoacoustic effect.” Journal of Applied Optics, Vol. 21, No. 11 , pp.49-54, DOI: 10.1364/AO.21.000049. [2] Jeff, R. Brown and Hamilton III (2003) “NDE of Reinforced Concrete Strengthened with Fiber-Reinforced Polymer Composite using Infrared Thermography.” InfraMation the thermographer’s conference 2003 [3] Kim, S., Choi, M., Park, J., Shin, K. and Lee, E. (2014) “Development of Calibration Target for Infrared Thermal Imaging

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Review of Printed Fabric Pattern Segmentation Analysis and Application

). Segmentations with rearrangements. In Proceedings of the 2007 SIAM International Conference on Data Mining, SIAM. [12] Xing, Y., Ou, Y., Englander, S., Schnall, M., Shen, D. (2007). Simultaneous estimation and segmentation of T1 map for breast parenchyma measurement. In Biomedical Imaging: from Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on, IEEE. [13] Kuo, C.-F.J., Su, T.-L., Huang, Y.-J. (2007). Computerized color separation system for printed fabrics by using backward-propagation neural network. Fibers and Polymers, 8(5), 529-536. [14

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Review of Spectrophotometric Methods for Determination of Formaldehyde

hydrazone hydrochloride-coated glass fibre filters. Analyst , 126 (5), 720-723. ISSN 0003-2654 [42] COMPTON, B. J., & PURDY, W. C. 1980. Fluoral-P, a member of a selective family of reagents for aldehydes. Analytica Chimica Acta , 119 (2), 349-357. ISSN 0003-2670 [43] LI, J., DASGUPTA, P. K., LUKE, W. 2005. Measurement of gaseous and aqueous trace formaldehyde: revisiting the pentanedione reaction and field applications. Analytica Chimica Acta , 531 (1), 51-68. ISSN 0003-2670 [44] KHANMOHAMMADI, M., DALALI, N., KARAMI, F., GARMARUDI, A. B., NEMATI

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Some Approaches to the Rolling Wheels’ Dynamics Modelling in the Weight-in-Motion Problem

References 1. Jacob B., Feypell-de la Beaumelle, V. (2010). Improving truck safety: Potential of weigh-in-motion technology. IATSS Research , 34, 9-15. 2. Shengyao Jia et al. (2010). Signal acquisition and processing of the moving vehicle weighting system. WSEAS Trans. on Signal Proc. , 3(6), 113-122. 3. Dorleus J. et al. (2009). A fibre optic seismic sensor for unattended ground sensing applications. ITEA Journ. , 30, 455-460. 4. Mimbela, L. E. Y., Klein, L. A. (2005). Summary of

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Modeling of Air Permeability of Knitted Fabric Using the Computational Fluid Dynamics

Science Journal 2015; 12 (6): 78–82 [8] Angelova R.A. Determination of the pore size of woven structures through image analysis. Central European Journal of Engineering 2012; 2(1): 129–135 [9] Zupin Z., Hladnik A., Dimitrovski K. Prediction of one-layer woven fabrics air permeability using porosity parameters. Textile Research Journal 2011; 82(2): 117–128 [10] Polipowski M., Więcek P., Więcek B., Jasińska I. Study on Woven Fabric Structure Using 3D Computer Image Analysis for In-Depth Identification of Thread Channels. Fibres and Textiles in Eastern

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Shear Strength of Medium Plastic Expansive Soil Reinforced with Polyester Fibers

-reinforced cohesive soil . Journal of Hydraulic Engineering, Vol. 6, No. 6, 31-36. Hejazi, S. M. – Sheikhzadeh, M. – Abtahi, S. M. – Zadhoush, A. (2012) A simple review of soil reinforcement by using natural and synthetic fibers . Construction and building materials, Vol. 30, pp. 100-116. Indian Standard, 2010 , IS: 2720 (Part X)-1991 (2006) Methods of Test for Soils: Part 10 Determination of Unconfined Compressive Strength. India: Bureau of Indian Standards Indian Standard, IS 1498-1970 (2002) Indian Standard Classification and Identification of Soils for

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Measurement of the Uniformity of Thermally Bonded Points in Polypropylene Spunbonded Non-Wovens Using Image Processing and its Relationship With Their Tensile Properties

References [1] E. Demirci, “Mechanical behaviour of thermally bonded bicomponent fibre nonwovens: experimental analysis and numerical modelling,” © Emrah Demirci, 2011. [2] H. Lim, “A review of spunbond process,” Journal of Textile and Apparel, Technology and Management, vol. 6, 2010. [3] R. K. Dharmadhikary, T. Gilmore, H. Davis, and S. Batra, “Thermal bonding of nonwoven fabrics,” Textile Progress, vol. 26, pp. 1-37, 1995. [4] K. Yıldız, A. Buldu, and M. Demetgul, “A thermal-based defect classification method in textile fabrics with K

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