Iraqi Journal for Computers and Informatics

There is a significant necessity to compress the medical images for the purposes of communication and storage.
Most currently available compression techniques produce an extremely high compression ratio with a high-quality loss. In medical applications, the diagnostically significant regions (interest region) should have a high image quality. Therefore, it is preferable to compress the interest regions by utilizing the Lossless compression techniques, whilst the diagnostically lessersignificant regions (non-interest region) can be compressed by utilizing the Lossy compression techniques. In this paper, a hybrid technique of Set Partition in Hierarchical Tree (SPIHT) and Bat inspired algorithms have been utilized for Lossless compression the interest region, and the non-interest region is loosely compressed with the Discrete Cosine Transform (DCT) technique. The experimental results present that the proposed hybrid technique enhances the compression performance and ratio. Also, the utilization of DCT increases compression performance with low computational complexity.

Identity and access management (IAM) system usually consist of predefined tasks as an information security system. The main task is the authentication, since it is responsible for user identity proving for service providers that corporate with (IAM). This paper provides a review on intelligent authentication research applicable to IAM systems. These researches are evaluated according to the proposal of intelligent authentication key factors. Depending on this evaluation it could not be found research implement an authentication that satisfies all these key factors.

Automated classification of text into predefined categories has always been considered as a vital method in the
natural language processing field. In this paper new methods based on Radial Basis Function (RBF) and Fuzzy Radial Basis Function (FRBF) are used to solve the problem of text classification, where a set of features extracted for each sentence in the document collection these set of features introduced to FRBF and RBF to classify documents. Reuters 21578 dataset utilized for the purpose of text classification. The results showed the effectiveness of FRBF is better than RBF.

Inn then last two decades the Content Based Image Retrieval (CBIR) considered as one of the topic of interest for the
researchers. It depending one analysis of the image’s visual content which can be done by extracting the color, texture and shape features. Therefore, feature extraction is one of the important steps in CBIR system for representing the image completely. Color feature is the most widely used and more reliable feature among the image visual features. This paper reviews different methods, namely Local Color Histogram, Color Correlogram, Row sum and Column sum and Colors Coherences Vectors were used to extract colors features taking in consideration the spatial information of the image.

In lately years, data streaming is become more important day by day, considering technologies employed to serve
that manner and share number of terminals within the system either direct or indirect interacting with them.
Smart devices now play active role in the data streaming environment as well as fog and cloud compatibility. It is affecting the data collectivity and appears clearly with the new technologies provided and the increase for the number of the users of such systems. This is due to the number of the users and resources available system start to employ the computational power to the fog for moving the computational power to the network edge. It is adopted to connect system that streamed data as an object. Those inter-connected objects are expected to be producing more significant data streams, which are produced at unique rates, in some cases for being analyzed nearly in real time. In the presented paper a survey of data streaming systems technologies is introduced. It clarified the main notions behind big data stream concepts as well as fog computing. From the presented study, the industrial and research communities are capable of gaining information about requirements for creating Fog computing environment with a clearer view about managing resources in the Fog. The main objective of this paper is to provide short brief and information about Data Streaming in Fog Computing Environment with explaining the major research field within this meaning.