AL-MANSOUR JOURNAL

The recent system for image retrieval based on histogram of clustering idea which considers the likeness among database of images is suggested. Firstly, the space of image's feature is compressed using Haar transform. Secondly points of interest were detected from wavelet image, and then those points of interest was descriptor using SURF descriptor Thirdly, the clustering algorithm of moving k-means is employed for features cluster that resulted from SURF descriptor and then a histogram was built from the cluster's values. The suggested procedure is experimented on different database. The outcome of experimental shows that suggested procedure is reliable, fast and active for retrieving of an image from database based on histogram than FAST detection of corner that depend on image features.

Any received speech signal can be distorted by interference with an additive noise, which often can be recuperated by using special type of algorithms. In numerous wireless speech communication applications, although the speech noise characteristics are very fast , therefore, an adaptive noise canceller should be used to cancel the noise of the transmitted signal. Adaptive noise Cancellation filter is an alternative technique of estimating signals corrupted by additive noise or interference; adaptive filters such as Normalized Least Mean Squares (NLMS) algorithm have been used in a wide range of signal processing applications due to its simplicity in implementation and computation of removing the background noise and distortion.
In this paper, an extensive study has been made to investigate the effects of different parameters, such as Filter length effect, step size effect , number of samples. The performance of NLMS filter for speech communication systems will be analyzed and discussed. Simulation results are presented to verify the analysis of the NLMS filter. All the results have been obtained using computer simulations built on MATLAB platform.

This paper present mobile social media application planned for high scholars clients “teenager” in place to forestall what's more relieve mean and brutal conduct behavior on the web. The reason for those suggested application is to make a disparaging place environment where teens use an assortment of offers planned on help raise self-awareness of their own web behavior, look for support at needed, and take in should control and right aggressive behavior. The proposed design plan will be outline by four principles: design plan for Reversal, design plan for sympathy, design plan to Authorization, and design plan for those whole. We end by plotting more add-ons our provision on make it serves to enhance the web encounters for teens. The application effort need suggestive for the group of health on account to apply answers for tackle a critical social issue that could influence the wellbeing the health and prosperity about teens. Toward utilizing this application, our pushed should make a nurturing environment, develop beneficial on the online web behavior, also ultimately, relieve and keep mean and sever behavior online.

This paper tries to refine the translator’s work by evoking some reliable and handy pragmatic values, most of which have been enunciated by Grice. As it is, the producer of the translated text often fuses new, old and implicit elements to convey the communicative intention of the producer of the S T (source text). One of the principles that regulates the balance already mentioned is effectiveness. Through it, the producer of the translated text transmits relevant content or fulfils his/her communicative endeavour. Another regulating principle is efficiency through which we achieve things in the most economical manner. It also, in a sense, entails less processing effort. The principle of relevance which governs that which is left out and that which is unnecessarily repeated (i.e ellipsis and redundancy) means that the translator, as a producer of a text, has to pay attention only to relevant information. Quality as a regulating principle requires that one’s production must be supported by evidence. Quantity, an operative principle, pragmatically demands that one’s contribution be as informative as possible. Other operative principles regulating translation, in my opinion, are the strategy of the SL and/or the TL and the avoidance of a literal production.
This paper intends to explore these regulating principles of the translated text and to show that they are quite important in producing a translation of substance.

In cryptography, confusion and diffusion are two very important characteristics, which must be achieved these characteristics in the ciphertext to obtain a strong cipher and avoid any attacker for attacked. This research aims to propose three methods based on a different sequence of operations of Advanced Encryption Standard (AES) algorithm. In this research is used hamming distance ,which it is a number of different symbols between two strings of equal length, for calculating diffusion. The proposed methods obtained approximately (63 bits) change in each round corresponding to the total number of bits (128 bits), but the standard AES obtains approximately (65 bits). The proposed methods use hamming distance for calculated diffusion property the (49.5%) percentage value of the proposed methods and the (50.9%) percentage value of the standard AES. After testing and verifying, it was concluded the AES algorithm is the best sequence of operations to achieve the best confusion and diffusion of data.

This paper proposes an algorithm that uses mix of Stationary Multiwavelet Transform and Artificial Neural Network (ANN) algorithm for classification of Electrocardiograph (ECG) signals. The MIT-BIH arrhythmia database is used to measure the performance of the suggested method and compare the results with conventional techniques. The Stationary Multiwavelet Transform (SMWT) and the Minimum Average Maximum strategy (MAM) is suggested to calculate the useful features of the signal before utilizing ANN algorithm for classification. Since SMWT is a translation invariant, therefore, it enhances the classification performance and reduces mean square error (MSE). Repeated Row Processing exists in this scheme to make it more suitable for feature extraction compared with Stationary Wavelet Transform (SWT), Multiwavelet Transform (MWT) and Principle Component Analysis (PCA). SMWT and MAM reduce dimensional space and decrease the complexity of classification circuit. ECG signal is classified using ANN. Finally, the results of the proposed method are realistic compared with SWT-ANN, MWT-ANN, and PCA-ANN. The obtained results emphasize the excellence of the presented algorithm than the traditional techniques. The SMWT-ANN achieves classification accuracy of 100% and mean square error of 〖1.4*10〗^(-3).

Cognitive radio networks (CRNs) are group of nodes prepared through cognitive radios which can improve the performance automatically via changing its behavior to adapt to the environment. Although various routing protocols that reflect the CRNs decisions are proposed to incorporate the varying degrees of adaptation, these protocols are to provide QoS guarantees to the CRNs.
In order to effectively transmit data packets and to develop cognitive routing protocols and to enforce challenges as a result of the changing nature of the obtainable spectrum, this research proposes an optimization path routing algorithm depend on the basis of the one of inspired approaches (Specifically improved cat swarm algorithm) to speed up the exploration for the optimal routes. This algorithm is a new met heuristic algorithm. It is being used for solving optimization problem.
This paper presents an advanced routing algorithm specified for this networks, this algorithm is based on the cat swarm algorithm, makes the transmission process effectual, adaptive in addition to scalable with an cumulative number of nodes. The new guideline proposed better satisfies the demands of QoS and show that the algorithm is valid and effective in controlling the packet loss ratio, time delay and the residual bandwidth while satisfying service requirements, emphasizing of some important characteristics of cat swarm search algorithm. Finally simulation results illustration that the proposed work offer efficient bandwidth exploitation.

Cloud computing is one of the popular technologies, which can used by most organizations because of its attractive properties such as availability, flexibility, integrity. The open and distributed structure of Cloud Computing and the services provided by it make it attractive aim for potential cyber-attacks by intruders. Network intrusion detection system (NIDS) represents important security mechanism, provides defence layer which monitors network traffic to detect suspicious activity and policy violations. This work proposed Multi-level-NIDS to detect intrusions and the type of intrusion in traditional/Cloud network. The proposed system evaluated with kdd99 dataset, the experimental results shows the efficiency and capability of the proposed system in detect attack and type of attack.

In this study it the planning was repeated for the human resources distribution (the supervisory committees) on the administrations which are under auditing of these committees of the industry activity audition, one of the office of federal financial supervision offices, and a sample of general specialization was built depending on the period of achieving the works of the supervisory committees for the administrative which are under its auditing for the year (2016)where a mathematical sample was made for four supervisory committees for this office and the administrations under its auditing in order to get the best funding of the supervisory committees on the administrations. This research aims to the best planning to distribute the supervisory committees on the administrations and to reduce the period of achieving the works of the supervisory committees represented by the auditing outcomes .
The researcher reached to distributing the supervisory committees on the managements in the best way and achieving the committees' business in less possible way, through applying the mathematical sample it shown that the total achieving period for these supervisory committees (14134) day per year while the total of planned periods at the same period (14364) which mean less by (230) day per year.

This study stems from a fundamental problem of how The Iraqi digging company applies the internal auditing for its quality management system, the study aims to focus on the guidance specification (ISO 19011:2002) And diagnose the gap Between quality management system requirements And the actual reality of the company surveyed which is one of the ministry of oil departments in Baghdad. The main conclusions of this study is that the company doesn’t follow the International Standardization steps of (ISO 19011:2008) as a guideline in the internal auditing for its quality system, the implementation and documentation of quality management system are (88.65%) of the International Standard(ISO 9001:2008).

In general Gradation transportation problem within operation research problems, the transportation model considered from sub-application important to linear programming. There is a great important for the transportation and effective role as an important pillar of the economic development of countries. to solve the problem of the transportation initial basic fesiable solution (I.B.F.S) is needed, and then to continue in the developing solution until reaching the better solution (less cost). there is no ending in theorems of finding best solutions until geating the optimal solution in order to take the convenient decision. the aim of this paper is to suggest a new method from by the researcher to find initial basic fesiable solution and then compare it with vogel's approaximation method and a nother methods to show the importance and the accuracy of the proposed method. through the findings of the researcher it turned out to be innovative method to give high-efficient results based on the total cost least and they approaching to the optimal solution.