IRAOI JOURNAL OF STATISTICAL SCIENCES

This research uses the Karhunen Loeve (KL) Algorithm and
correspondence analysis algorithm for the extraction of the
feature and find the region of interest in the sequences
multivariate images by dimensionality reduction and then comparing them to show which method gives the best results.
The potentials for using this method is illustrated through actual
examples dealing with the study of chloride secrtion by airaway
epithial cells for 21 bands. We can see that the multivariate
analysis allows to distinguish dataset of multivariate
dimensionality at once, and describe them as relations for
different sources of information in the data. We show that the
multivariate imaging can register multivariate datasets for a lot of
information that part of it may be hidden and must be extracted.

Digital watermarks have recently emerged as a possible
solution for protecting the copyright of digital materials. The use
of wavelets in image coding has increased significantly over the
years, mainly due to the superior properties of wavelets
compared with the traditional transforms like the DCT.
In this paper a new wavelet-based watermarking algorithm is
designed and implemented using the characteristics of an image
and the human visual system HVS for invisibility and robustness.
For experimental results, we have considered different attacks:
JPEG compression, geometric distortions and noising. The
results show the good performance of the new proposed method.

The idea of this project depends on programming the functions of
DirectX under the environment of the windows, which will give a very large
possibility to facilitate and speed up the films, games, animations, and
manage the messages.
In general, the graphics and the pictures need a lot of computation
power, and the Windows suffered from the low speed as a result of dealing
with the buffers of the memory of data to be displayed instead of dealing
with the data itself, for this reasons DirectX being the solution for this
problem, because DirectX directly deal with the buffers which contain data.
For the above reasons it is necessary to develop programs that can work as
an interface between DirectX and the windows.
The work focuses on programming the DirectShow function (formally
called ActiveMovie), DirectShow enables the applications play files and
streams from various sources, including local files and remote files on
network. DirectShow has native compressors and decompresses for some
file formats.
To achieve the throughput necessary for streaming video and audio,
DirectShow uses DirectDraw and DirectSound to render data efficiently to
the system’s sound and graphic cards. Synchronization is achieved by
encapsulating the multimedia data in Time-Stamped media samples.
This work shows the idea of displaying the image in a speed-up and
sorted way, which will be considered as a basic form for the animation,
display films and playing games by cutting a part from the memory and put
the image in it, then change the pointer for it, without needing to transform
the image itself. Also DirectShow, shows the displaying of the sounds
which is necessary for displaying the films. The Visual C++ language is
used to make this work.

Today the method of determining the dimension is being
applied to many kinds of observations, especially to time series in
physics, engineering, and in fields as far apart as meteorology and
neurophysiology. This paper has selectively surveyed some recent
work in the vast and rapidly growing area on the behavior of the
fractal dimension.We used the concept of dimension to distinguish
between random noise and chaos , also to determine the order of
Non-Linear Auto-regressive Model , finally it used to test the
residuals of linear models

This work investigates the analysis of fuzzy regression in
case of the data being fuzzy or non-fuzzy. The analysis is
performed by several methods , such as fuzzy linear regression
(FLR) and modified one, and fuzzy linear regression with least squares (FLSLR), in which linear programming (LP) is used in
the analysis.
Estimation of fuzzy parameters is carried out in case of fuzzy
and non-fuzzy (crisp) data where the regression model is detected
by fuzzy set theory.
These methods are applied on real data of Osteoporosis
which are obtained by measuring the bone density of 30 patients
(10 male and 20 female) by DEXA.
The results of the analysis show that, Tanaka model is better
than fuzzy linear regression model (FLR) so that to avoid the
appearance of non-fuzzy estimated parameters ,and . (FLSLR) is
better than (FLR) in the sense of degree of membership of the
model.

Three suggested procedures were adopted to determine the
value of biasing parameter (k) in ridge regression: 1-fragmenting
the ridge trace to groups each group contains semi-homogeneous
absolute values of the estimated parameters, 2-rotating over the
axis of ridge trace, 3-the ideal value of k should be determined
through many analytical stages.
A procedure was suggested to select the best variables to
admit in the ridge regression equation. The augmented matrix and vector have had a significant importance in facilitating all
analyzing processes

Digital watermarking is a new field of security, it is important
in verifying from widespread digital information transmission techniques, it protects digital still images, video, or sounds from
piracy.
Digital watermarking gives real owner the ability to check if a
file is an unauthorized copy or if it has been modified without
authentication.
Within the development of digital watermarking technique,
methods of watermarking attacks have been developed for deleting
or modifying to improve illegal copying.
In this research, new sensitive technique is developed for hiding
digital watermarking into a still image in a way that satisfied
randomly hiding which includes every part of image, to protect it
from attacking

This research attempts concerns to find the appropriate
method among all the methods of estimating the Autocorrelation
factor value , to get rid of Autocorrelation problem , among the
values of random variable to gain the most accurate value which
is studied in generalized least squares method .
Therefore, Mean squares error (MSE) scale has been used to
compare the efficiency of all estimates in overall methods.