Journal of Education for Pure Science-University of Thi-Qar

Finding an empty parking space in a crowded area is very stressful due to congestion. In the absence of
empty space, leads to fatigue before the main activity, increased fuel consumption, which leads to
increased pollution, and increased traffic due to the search for empty space. Therefore, it was necessary
to have a system that would help drivers know the condition of each parking space. Empty or occupied
with a vehicle. Where the empty and occupied spaces are calculated and determined so that the system
displays a map of the empty spaces on the screen that is placed in a suitable place in the parking lot to
facilitate directing the driver to the vacant parking spaces and warn if all the parking spaces are
occupied. All this is done through images taken from the surveillance cameras in the parking lot. We find
that the advantages of using vision-based systems over other existing systems are threefold. First There is
no need to update the infrastructure of the parking lot, provided that the place is equipped with
surveillance cameras that monitor the parking spaces covering the entire place. Secondly, camera-based
systems give the exact location i.e. a detailed map of the vacant car parks which are good and necessary
vacant lots. Third, camera-based methods are highly applicable in street parking spaces and residential
areas. Our system achieved excellent results as the average prediction accuracy was 99. 89% and
99.78% on the PKLot data set and the local data set, respectively. This high accuracy and low price make
it a good alternative to systems that use sensors.

Image processing has an important and main role in several fields. It uses to understand and discover the
image and its objects in efficiently and meaningful way. The understanding is a main step to extract
information form image. The more realization has been established from different scientists in the field
for image segmentation. The main segmentation purpose is to detect the edges information which
available inside an image clearly. Edges are the important character for image and it has produced by
summaries of the things. Mostly, Edge detection steps and its techniques have employed to evaluate and
analysis of image characteristic. Many and several kinds of techniques for detecting the edges from any
type of images. This paper has achieved the comprehensive analysis about the many edge detection
techniques like Prewitt, Sobel and Laplacian of Gaussian. The comparisons are in terms PSNR (Peak
signal to noise ratio), SNR (Signal to noise ratio) and Entropy. Finally, experimentally observed that
Laplacian of Gaussian technique is working well and recorded better results than others techniques.

The problem of security in cloud computing is notorious. Several see data as safe only when it is
managed in an internal network; others consider the cloud computing can provide the security necessary
to ensure the preservation and integrity of information. Security problems in cloud computing come from
two sides: the customer and the service provider, but the biggest load is always on the service provider.
The purpose of the proposed system is to protect distributed data beyond to multi user on the cloud.
Proposed system combination between Active broadcast encryption and multi-signature, so any user of
cloud can distribute data among other secretly. After the practical application of the proposed algorithm,
the results showed that it is more efficient and safer compared to the algorithms mentioned in the research
and also helped reduce storage after canceling the unused accounts.