Volume 6, Issue 4, April 2017


Decreasing of Wet Deck Slamming

Authors: Victor A. Dubrovsky

Abstract- Shocks by waves, slamming, of the wet deck (the bottom of inter-hull structure) is a specific disadvantage of all multi-hull ships. It means the decreasing of such slamming is an important problem of multi-hull designing and creation. The problem is divided by two parts: motion mitigation and shock elimination. Some methods of longitudinal motion mitigation of various multi-hulls are examined. In addition, some methods of shock pressure decreasing are shown too. As the results, some general and particular recommendations are proposed.

Keywords- Slamming, multi-hulls, wet deck, vertical clearance, seaworthiness, motions, shock pressure.


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On the Method of Air Infrared Ecological Control

Authors: Ruben Asatryan, Hamlet Karayan, Norayr Khachatryan

Abstract:-The results of development of the air infrared radiometer for the realization of monitoring of the environment from an aircraft, and also methods of him some applied applications are presented. The development results of a new methods of aerial (on a helicopter or airplane) infrared (IR) scanning of extensive spaces with the purpose of detecting weak heat sources (fire centers at an early stage of their development) to prevent the occurrence of large-scale fires are presented, and for probing gas main pipelines and detecting gas leaks also is described. IR scanning of pipelines was performed in the wavelength range 8–12 µm by a helicopter flying along the routes of pipelines. In the paper there is presented the description of the IR radiometer as well as the measurement method of point and extended thermal sources in the wavelength range of 2.5 to 5.5 and 8-12 microns.


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Review on Application of Adaptive Watermarking by Hi-Fidelity Image Annotation for Data Embedding

Authors: Kirti Kshirsagar, Dr.Sunil Phulre, Dr.Vineet Richhariya

Abstract- In this paper authors cover the survey report of 23 papers that’s worked only on data embedding for image annotation. In first paper described hi-fidelity image annotation for 32 bit metadata into a single image over all PSNR 38 dB. In paper second and soft and hard watermarking are used for image imbedding. Keyword - hi-fidelity, image annotation, MSE.


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[2] YashKshirsagar, Anup.V. Kalaskar and Shilpa.R.Jadhav, “High Speed & Highly Secured Image Annotation Using Soft and Hard Watermarks”, International Journal of Advanced Research in Computer Science, Volume 2, No. 5, Sept-Oct 2011, pp: 286-290.

[3] Yang, Y.; Wu, F.; Nie, F.; Shen, H.; Zhuang, Y.; Hauptman, A., “Web & Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding”, Image Processing, IEEE Transactions, Issue: 9, 2011,

[4] Tianxia Gong; Shimiao Li; Chew Lim Tan, “A Semantic Similarity Language Model to Improve Automatic Image Annotation”, Volume: 1, Page(s): 197 – 203, 2010.

[5] Fusheng Wang; Rabsch, C.; Peiya Liu, “Using Svg To Model And Query Image Annotations And Their History”, IEEE International Conference, Page(s): 412 – 422, 2007.

[6] Ming Chen; Zhenyong Chen; Xiao Zeng; Zhang Xiong, “Model Order Selection In Reversible Image Watermarking”, IEEE Journal Volume: 4 , Issue: 3 ,Page: 592-604, 2010.

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[17] T.N. Pappas and R.J. Safranek, “Perceptual criteria for image quality evaluation,” in Handbook of Image and Video Processing, Academic Press, 2003.

[18] I.J. Cox, et al., “A secure, robust watermark for multimedia,” Info Hiding Workshop, pp.183–206, 2002.

[19] H.S.Malvar, “Biorthogonal and Nonuniform Lapped Transforms for Transform Coding with Reduced Blocking and Ringing Artifacts,” IEEE Trans. on Signal Processing, pp.1043–1053, 2002.

[20] Podilchuk and W. Zeng, “Image-Adaptive Watermarking Using Visual Models,” IEEE Journal on Selected Areas in Communications, vol.16, no.4, 2004.

[21] W.F. Good, et al., “Joint photographic experts group (JPEG) compatible data compression of mammograms,” Journal on Digital Imaging, vol.17, no.3, pp.123-132, 2000.

[22] A.B. Watson, et al., “Visibility of wavelet quantization noise,” IEEE Trans. on Image Processing, vol.6, pp.1164-1175, 2002.

[23] A.P. Bradley, “A wavelet visible difference predictor,” IEEE Trans. on Image Processing, vol.5, pp.717-730, 2001.

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