Published Journal Articles
A State of Art Survey for OS Performance Improvement
Science Journal of University of Zakho (Issue : 3) (Volume : 6)
Through the huge growth of heavy computing applications which require a high level of performance, it is observed that the interest of monitoring operating system performance has also demanded to be grown widely. In the past several years since OS performance has become a critical issue, many research studies have been produced to investigate and evaluate the stability status of OSs performance. This paper presents a survey of the most important and state of the art approaches and models to be used for performance measurement and evaluation. Furthermore, the research marks the capabilities of the performance-improvement of different operating systems using multiple metrics. The selection of metrics which will be used for monitoring the performance depends on monitoring goals and performance requirements. Many previous works related to this subject have been addressed, explained in details, and compared to highlight the top important features that will very beneficial to be depended for the best approach selection.
Student Attendance Management System
International Journal of Engineering and Technology (Issue : 2) (Volume : 6)
LOD explorer: Presenting the Web of data
International Journal of Advanced Computer Science and Applications (Issue : 1) (Volume : 9)
The quantity of data published on the Web according to principles of Linked Data is increasing intensely. However, this data is still largely limited to be used up by domain professionals and users who understand Linked Data technologies. Therefore, it is essential to develop tools to enhance intuitive perceptions of Linked Data for lay users. The features of Linked Data point to various challenges for an easy-to-use data presentation. In this paper, Semantic Web and Linked Data technologies are overviewed, challenges to the presentation of Linked Data is stated, and LOD Explorer is presented with the aim of delivering a simple application to discover triplestore resources. Furthermore, to hide the technical challenges behind Linked Data and provide both specialist and non-specialist users, an interactive and effective way to explore RDF resources.
State of the Art Exploration Systems for Linked Data: A Review
International Journal of Advanced Computer Science and Applications (Issue : 11) (Volume : 7)
The ever-increasing amount of data available on the web is the result of the simplicity of sharing data over the current Web. To retrieve relevant information efficiently from this huge dataspace, a sophisticated search technology, which is further complicated due to the various data formats used, is crucial. Semantic Web (SW) technology has a prominent role in search engines to alleviate this issue by providing a way to understand the contextual meaning of data so as to retrieve relevant, high-quality results. An Exploratory Search System (ESS), is a featured data looking and search approach which helps searchers learn and explore their unclear topics and seeking goals through a set of actions. To retrieve high-quality retrievals for ESSs, Linked Open Data (LOD) is the optimal choice. In this paper, SW technology is reviewed, an overview of the search strategies is provided, and followed by a survey of the state of the art Linked Data Browsers (LDBs) and ESSs based on LOD. Finally, each of the LDBs and ESSs is compared with respect to several features such as algorithms, data presentations, and explanations.
Design And Implementation Of Online Submission and Peer Review System A Case Study Of E-Journal Of University Of Zakho
2015International Journal of Scientific & Technology Research (Issue : 4) (Volume : 8)
With the aim of designing and implementing a web-based article submission management system for academic research papers, several international models such as Elsevier Editorial System and ICOCI, International Conference on Computing and Informatics, are studied and analyzed. Through this analysis, an open access web-based article submission and peer review system for Journal of University of Zakho (JUOZ) is employed. This kind of systems is not only capable of solving issues such as complex manuscript management, time-delays in the process of reviewing, and loss of manuscripts that occurs often in off-line paper submission and review processes, but also is capable to build the foundation for e-journal publications. Consequently, an active and rapid scholarly communication medium can be made. The implementation and deployment of this system can improve the rank of the university and the reputation and the globalization of science and technology research journals.
Database Teaching in Different Universities: A Phenomenographic Research
International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS) (Issue : 4) (Volume : 3)
In this research, the different teaching methodologies practiced in the basic database course taught in different universities are discussed. This paper was written based on researched conducted through a questionnaire about university students in three different universities. The study was performed with a phenomenographic research approach among university staffs that have been graduated from University of Duhok , Nawroz University and University of Mosul . It investigates how and how well they have learned the basic database course during their bachelor degree.
Effects of Processes Forcing on CPU and Total Execution-Time Using Multiprocessor Shared Memory System
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING IN RESEARCH TRENDS (Issue : 4) (Volume : 2)
In this paper, the applications of Shared Memory systems towards the implementation of the Parallel Processing approach is provided. Multiple tasks can be dealt with the applications of such systems by using the principles of Shared Memory Parallel Processing programming called Application-Program. The influences of forcing processes amongst processes of Shared Memory system relying on Parallel Processing approach principals are given. These influences are related with computing total and CPU execution times. The CPU usage is also determined with its changing manner depending on the load size and the number of participated CPUs.
General method for data indexing using clustering methods
International Journal of Scientific and Engineering Research (Issue : 3) (Volume : 6)
Indexing data plays a key role in data retrieval and search. New indexing techniques are proposed frequently to improve search performance. Some data clustering methods are previously used for data indexing in data warehouses. In this paper, we discuss general concepts of data indexing, and clustering methods that are based on representatives. Then we present a general theme for indexing using clustering methods. There are two main processing schemes in databases, Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP). The proposed method is specific to stationary data like in OLAP. Having general indexing theme, different clustering methods are compared. Here we studied three representative based clustering methods; standard K-Means, Self Organizing Map (SOM) and Growing Neural Gas (GNG). Our study shows that in this context, GNG out performs K-Means and SOM.