Browsing by Author "Alsultan, M."

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Citation - Scopus: 4
Applications and Design for a Cloud of Virtual Sensors
(Institute of Advanced Engineering and Science, 2016) Hussein, A.J.; Riadh, A.; Alsultan, M.; Tareq, A.A.-R.
The use of sensors in our daily lives is a growing demand with the large number of electronic devices around us. These sensors will be included in our daily life requirements soon and they will affect our lives in both positive and negative ways. In this paper, we discuss the manner, applications and design issues for a cloud of virtual sensors, and we introduce a distributed system design to deal with physical sensors that reside in diverse locations and operate in different environments. This design operates in a cloud computing vision and can make virtual sensors in upper of physical one available from anywhere using ICT structure. Then, we negotiated the future of this technology, i.e., the Internet of Things (IoT). Additionally, we go over the strengths and weaknesses of using this technology. Our test lab shows high performance and good total cost of ownership and effective response time. © 2016 Institute of Advanced Engineering and Science. All rights reserved.
Citation - Scopus: 4
Hough Transform Based Watermark Embedding Algorithm in Dct Frequency Domain
(Asian Research Publishing Network, 2017) Alsultan, M.; Alramli, T.; Albayati, A.; Elbasi, E.
In this paper, an algorithm has been proposed that makes use of Hough transform to locate the positions of lines in the cover image. The watermark was embedded in these positions in the original DCT domain. The robustness of the new algorithm has been evaluated and the experimental results were compared with the Chaotic Sequence Based Watermarking algorithm, which also work in the DCT domain. The Compression has been done depending on the Performance evaluation for imperceptibility and robustness of proposed algorithms. Several attacks were also used and peak signal to noise ratio (PSNR) value was calculated for cover image and watermarked image. Similarity ratio (SR) for the extracted watermark was also calculated. The Hough-based Watermark technique has been found robust against Gaussian, Histogram, Intensity, Gamma and Corp attacks. Whereas, the Chaotic-based Watermark technique was observed robust against Gaussian, Mean filter, Rotation, Histogram, Intensity, Gamma and Corp attacks. © 2005 – ongoing JATIT & LLS.