Abstract: The paper tackled one of the artificial intelligence algorithms which is Mosquito swarm algorithm as a nature inspired algorithms, to solve 0-1 knapsack an optimization problem through adaptation steps of a Mosquito swarm algorithm and the inspiration coming from the behavior of Mosquitoes, in addition to propose steps (update) for Chemical sensors, Heat sensors and location of Mosquito, to find an optimal solution in small search space and small computational requirements. A program is written in MATLAB 7.10. language to simulate this algorithm with 0-1 knapsack problem. The experimental results in this research showed effective approach, easy implementation of algorithm to find optimal solution.  

Abstract: The ring R is called right almost weakly np –injective, if for any , there exists a positive integer n and a left ideal  of R such that . In this paper, we give some characterization and properties of almost weakly np – injective rings. And we study the regularity of right almost weakly np – injective ring and in the same time, when every simple (simple singular) right R – module is almost weakly np – injective, we also give some properties of an R.  

Abstract: In this paper, we study and give some properties of annihilating-ideal graphs of Zn, also we find Hosoya polynomial and Wiener index for this graph.  

Abstract: This paper tackles to some linear feedback control strategies, where we take a 3D chaotic system with a five critical point of unstability, which is discovered by scientist [Zhu Congxu, 2010]. So we applied some linear feedback strategies: first strategy Ordinary Feedback Control and the second strategy Dislocate Feedback Control on this system at origin point and we noticed that a necessary condition for suppression is getting positive feedback coefficient; but this condition fails at some strategies. For this reason, we focused on these cases in our search, and design more than a strategy for studying these different situations. Theoretical analysis and numerical simulation check the validity of the results obtained.  

Abstract: The amount of the available data increases the ability to analyze and understand. The internet revolution has added billions of customer’s review data in its depots. This has given an interest in sentiment analysis and opinion mining in the recent years. People have to depend on machines to classify and process the data as there are terabytes of review data in stock of a single product. So that prediction customer sentiments is very important to analyze the reviews as it not only helps in increasing profits but also goes a long way in improving and bringing out better products.  In this paper , we present a survey regarding the presently available techniques and applications  that appear in the field of opinion mining , such as , economy , security , marketing , spam detection , decision making , and elections expectation.  

Abstract: The development of data transfer technologies over multimedia or communications networks needs to be addressed to large storage units so that they can be sent and received in a packaged manner. It also takes a lot of time to transmit them while the current technologies are high standards, which reduces storage space and thus reduces transmission time and reception. The aim of the study is to compress digital video files using SVD by inserting digital video and then analyzing it into a set of frames and then processing each frame using the compression algorithm used in the research. A set of measures were used to measure the quality of the compression. The results showed that the use of a single value analysis technique was an effective method for compressing digital video files. After applying the work algorithms to a set of samples, the results also showed consistency and compatibility in the compression process with the samples that were treated.    

Abstract: Information and communication technologies are witnessing tremendous developments in today's world. Which allowed many institutions and departments to adopt ICT in their administrative work. This research discusses the designing of an Electronic Archiving System Based on the Computer Network by using (Visual C #.NET) language and the development of a central database by using (SQL Server 2008). The Ninewa Health bureau has been chosen as a model for completion of the study. To address the problem of the traditional reality experienced by the institutions and departments of the state in Iraq, based on the limited use of information technology, while electronic archiving systems that have become the basic method in the institutions of developed countries. This system works on converting paper documents and attachments into an electronic format, and saving them in the database within indexed records according to the document number or book. The system also provides an integrated tool for the managing mail, and workflow, as well as the preparation of reports, and great flexibility in the management of system database (backup, update of administrative units as per the applicable structure of the bureau concerned), managing user accounts and granting them access permission. The study has showed that the electronic archiving system has a positive impact in the fields of administrative works, through facilitating the process of archiving and saving of documents and official correspondence book to provide office spaces consumed in the storage of paper files. As well as reduce the time and effort spent in the search for files. and the ease of exchanging documents through a local network by the adoption of the (client / server) model to connect the sections of the bureau with each other for integrated with the electronic archiving system. The study aims to strengthen the role of archiving to launch the e-government project by improving and simplifying official transactions procedures. Last but not least the research dealt with a theoretical framework on the archiving (concept, components, types), as well as the practical aspect of the analysis and design of the system and explain how it works. Finally, this research succeed in designing the system, and the system has been tested on real data represented by models of books and official documents in the bureau of Health Nineveh..  

Abstract: In this research, the genetic algorithm was proposed as a method to find the parameters of support vector machine, specifically the σ and c parameters for kernel and the hyperplane respectively. Based on the Least squares method, the fitness function was built in the genetic algorithm to find the optimal values of the parameters in the proposed method. The proposed method showed better and more efficient results than the classical method of support vector machine which adopts the default or random values of parameters σ and c in the classification of leukemia data.  

Abstract: Care about automated documents classification has increased since the appearance of the digital documents and the wide diffusion of Internet. In the 1990's, the computer performance has greatly improved and has led to the methods of machine learning to establish automated classifiers. These methods have achieved good speed and classification's accuracy and researchers still investigate in this field to accomplish more accuracy and less time. Artificial immunologic systems have shown high performance in such as data clustering and anomaly detection which can be ascribed to the nature of the immunologic system in protecting the body. Some of the present methods and ways used in the training process of the document classification are time consuming and others have less accuracy rate concerned with the classification of the related document as software engineering document classes. For these reasons, this research deals with the study of Natural Immune System and using the dynamic process of the Adaptive Immune System work by hybridization Negative Selection (NS) and Positive Selection (PS) techniques and to propose a hybrid model called the Hybrid Positive Negative Selection Model (HPNS) to classify Software Engineering documents as they comprise information related to developing the software systems, that makes it easy for the software engineer who works in maintenance. HPNS has high classification's speed and accuracy besides easy and flexible use by designing interfaces that make it easy for the user to deal with the system. In order to improve the quality and the efficiency of HPNS method, it was compared to one of the best and well-known methods of classification referred to as, Naive Bayes(NB). After conducting several experiments on a various group of software engineering documents, evaluations results have shown that the accuracy of the Adaptive immunologic method (HPNS) has reached (HPNS) (95%), whereas Naïve classification method has reached (90 %) with training and classification speed that doesn’t exceed one minute. This shows the feasibility of using the algorithms of AIS systems in the field of information recovery and documents classification. This system was built and programmed in Java language and was implemented under an operating system environment Microsoft Windows7.