Web-Based Architecture of a System for Design Assessment of Night Vision Devices
Nowadays the devices of night vision are widely used both for military and civil applications. The variety of night vision applications require a variety of the night vision devices designs. A web-based architecture of a software system for design assessment before producing of night vision devices is developed. The proposed architecture of the web-based system is based on the application of a mathematical model for designing of night vision devices. An algorithm with two components – for iterative design and for intelligent design is developed and integrated into system architecture. The iterative component suggests compatible modules combinations to choose from. The intelligent component provides compatible combinations of modules satisfying given user requirements to device parameters. The proposed web-based architecture of a system for design assessment of night vision devices is tested via a prototype of the system. The testing showed the applicability of both iterative and intelligent components of algorithm.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1086875Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1750
 J. Yoo, S.R.T. Kumara. Implications of k-best modular product design solutions to global manufacturing. CIRP Annals – Manufacturing Technology, no 59, pp. 481-484, 2010.
 J.K. Gershenson, G. J. Prasad. Modularity in product design for manufacturability. Int. Journal of Agile Manufacturing, no 1(1), pp. 1- 11, 1997.
 K. Fujita. Product variety optimization under modular architecture. Computer-Aided Design, no 34, pp. 953-965, 2002.
 Y. Qin, G.Wei. Product configuration based on modular product family modelling. Journal of Computational Information Systems, no 6(7), pp. 2321-2331 (2010)
 N.S. Martinelli, R. Seoane. Automotive night vision system. In: Proc. SPIE Thermosense XXI; Dennis H. LeMieux, John R. Snell, Jr.; Eds., 3700, 343-346, 1999.
 J. G. Winkel, L. Faber. Civil use of night vision goggles within the National Airspace System, In: Proc. SPIE, no 4361, pp. 159-163, 2001.
 Aviation Research Report B2004/0152. Night vision goggles in civil helicopter operations. Australian Transport Safety Bureau, ISBN 1 877071 94 3, 2005.
 Y. Tsz-Ho, Moon,Y-S., J. Chen, H-K. Fung, H-F. Ko, R. Wang. An intelligent night vision system for automobiles. In: Conference on Machine Vision Applications, May 20-22, Yokohama, Japan, 2009.
 R.S. Allison, P. Guterman, Y. Sakano, J. E.Zacher, P.Thomas, S. Jennings, T. Macuda. Assessing night vision goggle performance in security applications. In: Aerospace Conference, Aerospace in Canada: Research and Innovation for the Global Marketplace. Toronto, Canada: IEEE, 2007.
 D. Borissova, I. Mustakerov. A working distance formula for night vision devices quality preliminary information. Cybernetics and Information Technologies, no 6(3), pp. 85-92 2006.
 D. Borissova, I. Mustakerov. A generalized optimization method for night vision devices design considering stochastic external surveillance conditions, Applied Mathematical Modeling, no 33, pp, 4078-4085, 2009.
 L. Russell, J. Lombardo. Target Acquisition: It’s not just for military imaging. Photonics Spectra, July, pp. 123-126, 1998.
 P. Sander, D. Wagner. Algorithm engineering. Information Technology, no 53(6), pp. 263-264, 2011.
 M. Ying, J. Miller. Refactoring legacy AJAX applications to improve the efficiency of the data exchange component. Journal of Systems and Software, no 86(1), pp. 72-88, 2013.
 M. Hertel. Aspects of AJAX, 2007, http://www.mathertel.de/AJAX/AJAXeBook.aspx.