Stochastic Image Models

Accurate forecasting of the state of technical objects is necessary for effective management. The technical condition of the object is characterized by a system of time series of monitored indicators. The time series often have difficultly predictable irregular periodicity (quasi-periodicity). In this paper, to improve the accuracy of such series forecasting, models of quasi-periodic processes in the form of samples of a cylindrical image are used. The application of these models is demonstrated by forecasting of a hydraulic unit vibrations. It is shown that the use of these models provides a higher accuracy of prediction compared with the classical approaches.

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The effect of using Different model of images in Augmented Reality on cognitive achievement development of high school students in Jazan in computer curriculum: أثر اختلاف نمط عرض مصورات الواقع المعزز في تنمية التحصيل المعرفي لطلاب الثانوية بمنطقة جازان في مادة الحاسب الآلي

المجلة العربية للعلوم ونشر الأبحاث مجلة العلوم التربوية والنفسية ◽

10.26389/ajsrp.y060419 ◽

2019 ◽

Vol 3 (31) ◽

Author(s):

Yahya Rasheed Alameer

Keyword(s):

High School Students ◽

Augmented Reality ◽

Secondary Students ◽

Three Dimensional ◽

Cognitive Achievement ◽

Two Dimensional ◽

School Students ◽

Quasi Experimental ◽

Image Models ◽

Experimental Group

The purpose of the research is to determine the effect of the difference in the mode of presentation of the enhanced reality models in the development of the cognitive achievement of secondary students in Jazan region in computer science, the researcher used quasi-experimental approach in comparing the 2D image models of Augmented reality to the first experimental group, and teaching the pattern of 3D image models of Augmented reality of the second experimental group, to ascertain the hypotheses of the research and to reveal the relationship between the independent variable and the dependent variable, the sample consisted of (60) students: (30) students in the first experimental group, which was studied using the two-dimensional Augmented Reality models, And (30) students in the second experimental group, which was studied using the pattern of Augmented Reality three-dimensional, the results showed that there were statistically significant differences at (α≤05.0) between the mean scores of the students of the first experimental groups studied using the two-dimensional Augmented Reality models, the second experiment, which was studied using the Augmented three-dimensional image models, in the post-application to test cognitive achievement, for the second experimental group studied using the three-dimensional Augmented Reality models, In the light of the results, recommendations and suggestions were made to develop the cognitive achievement of secondary students in computer and various subjects.

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High Capacity Reversible Steganography on CMY and HSI Color Images Using Image Interpolation

Webology ◽

10.14704/web/v18si04/web18119 ◽

2021 ◽

Vol 18 (Special Issue 04) ◽

pp. 133-148

Author(s):

D. Shahi ◽

R.S. Vinod Kumar ◽

V.K. Reshma

Keyword(s):

High Capacity ◽

Similarity Index ◽

Image Interpolation ◽

Median Plane ◽

Research Area ◽

Secret Message ◽

Color Models ◽

Image Models ◽

Surface Similarity ◽

New Research

Steganography using image interpolation has created a new research area in multimedia communication. A reversible data concealing in HSI and CMY color models using image interpolation is proposed in this paper. The HSI and CMY image models are interpolated using High Capacity Reversible Steganography (CRS) technique. The median plane of both HSI and CMY color models are selected for secret message bit concealing. The secret message bits are concealed in the cover plane by Exclusive OR (XOR) operation. Since the cover image is recovered after secret message bit retrieval, this finds application in military and medical imaging applications. The experimental results of proposed scheme showed very high embedding capacity of about 16 bits in each pixel location of calculated pixel value, good image quality with a surface similarity index measure (SSIM) value 1 and high PSNR. Also, high robustness is achieved on comparing with the existing works.

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