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International Journal of Informatics and Communication Technology (IJ-ICT)

IJICT
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Published by Institute of Advanced Engineering and Science

ISSN : 22528776 EISSN : 27222616 DOI : -

Core Subject : Science,

Computer Science & IT

International Journal of Informatics and Communication Technology (IJ-ICT) is a common platform for publishing quality research paper as well as other intellectual outputs. This Journal is published by Institute of Advanced Engineering and Science (IAES) whose aims is to promote the dissemination of scientific knowledge and technology on the Information and Communication Technology areas, in front of international audience of scientific community, to encourage the progress and innovation of the technology for human life and also to be a best platform for proliferation of ideas and thought for all scientists, regardless of their locations or nationalities. The journal covers all areas of Informatics and Communication Technology (ICT) focuses on integrating hardware and software solutions for the storage, retrieval, sharing and manipulation management, analysis, visualization, interpretation and it applications for human services programs and practices, publishing refereed original research articles and technical notes. It is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in ICT.

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Articles 6 Documents

Search results for , issue "Vol 5, No 1: April 2016" : 6 Documents clear

Perform Measuring by Using Image Processing Sundus Khaleel Ebraheem
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 5, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

The development of ability of the computer leads to improve the abilities of digital image processing, because of the traditional measuring work needs much effort in the site for different fields, and has its difficulties and shortcoming points; therefore this paper introduces improvement for the method to solve the measuring problem, by using digital image processing. This paper improved the system of perform measuring of material for buildings by calculating the volume furthermore the area and dimensions for any position was pointed by the user. The improvement involved in addition to that correction the position of pointed point in case of zooming. The system was designed by using MATLAB R2012b language. The system has implemented on different images and different dimensions as well as on video, it showed accurate results in calculating specific dimensions, areas and volume which defined by the user in the image.

Energy Efficiency in Cognitive Radio Network: Green Technology Towards Next Generation Networks Seetaiah Kilaru; Adithya gali
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 5, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Energy efficiency of mobile network is always a challenging task. From the past decade, it is observable that the users who are using multimedia services are increasing in rapid way. These multimedia applications require higher data rates. High data rates will consume more energy of mobile network, which results poor energy efficiency. To meet higher data rates and to achieve energy efficiency, Cognitive Mobile Network with small cell model was explained in this paper. Dynamics of the power grid also have significant impact on mobile networks, hence smart grid implementation was proposed instead of traditional power grid. Most of the existed studies on cognitive mobile network focussed on spectrum sensing only. This paper focussed on cognitive radio network implementation by considering spectrum sensing and smart grid environment. An iterative algorithm was proposed to attain equillibrium condition to the problem. Interference management and energy efficient power allocation were achieved with the introduction of smart grid. Simulation results proved that optimum power allocation and energy efficiency are possible with the introduction of smart grid in cognitive network.

Soft Systems Methodology (SSM) as a Viable Methodology for Knowledge Engineering: A Literature Review Franklyn Chukwunonso
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 5, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

This paper presents a baseline perspective of knowledge engineering (KE) methodologies by taking a critical look at the methodological approaches currently used in knowledge engineering domain. A literature review bordering on; the knowledge role concept, knowledge elicitation techniques, and ontological approaches employed in knowledge engineering for the construction of knowledge-based systems (KBSs) was carried out. Journal and conference articles were sourced from multiple journals and research databases and a multi-step manual cross-checking based on carefully selected extraction and quality criteria were employed. The findings of the study show that the existing methodological approaches employed for constructing KBSs in KE is highly deficient and inefficient for solving KE problems under dynamic and uncertain environments. The paper concludes by presenting a strong argument as to why soft systems methodology is best suited for constructing knowledge base systems (KBS) in a spatially distributed, unstructured and shared domain specific context.

Attack Detection in a Rule-Based System Using Fuzzy Spiking Neural P System Kazeem Idowu Rufai
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 5, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

The virtual area of communication known as cyber space brought about by the debut of the internet has enabled some cyber crimes – ‘Intrusion’ inclusive. So, efforts are being geared towards ensuring that reliable and efficient Intrusion Detection Systems (IDSs) are developed to curtail this menace. However, Spiking Neural P (SN P) systems have been established as a class of distributed parallel computing models. So, in this paper, a novel network intrusion prediction model based on trapezoidal Fuzzy Reasoning Spiking Neural P (tFRSN P) system, is implemented for the very first time for the detection of intrusion. tFRSN P system is an extension of SN P system. It has a graphical modeling advantage which makes it well suited for fuzzy reasoning as well as fuzzy knowledge representation using If-Then rules. The dynamic firing power of neurons is harnessed in a simple parallel matrix-based fuzzy reasoning format to generate inferences. To establish the effectiveness of this approach especially in the area of speed of parallel reasoning and the handling of uncertainties, detection of Brute Force Attack (BFA) is used for demonstration. From the crisp results (0.0431, 0.0414, 0.4453, 0.1703 and 0.0414) obtained, it shows that the parallel processing capability of tFRSN P system could be used to rapidly reason and analyze the severity (possibility of an attack) from any network data.

Half Iris Matching Based on RED Algorithm Akeel Ali Al-Hillali; Safaa S Omran
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 5, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Iris recognition is one of the most accurate identification method and it is powerful for secure of information and identification between users. The Ridge Energy Direction (RED) algorithm is the most accurate and fast approach for iris recognition. The RED algorithm reduces the effects of illumination, since only direction is used. The RED algorithm is applied after a normalization process consisting on two filter types (horizontal and vertical). This paper extends this algorithm by considering the lower portion of the iris because this portion is affected with less noise. We used different size of RED filter on Iris in order to compare the accuracy and time between them. We found that the higher filter size gives more accuracy but more processing time

Audio Watermarking Based on Hybrid Low and High Wavelet Frequencies Aree Ali Mohammed
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 5, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Transform-domain digital audio watermarking has a performance advantage over time-domain watermarking by virtue of the fact that frequency transforms offer better exploitation of the human auditory system (HAS). In this research paper an adaptive audio watermarking is proposed based on the low and high wavelet frequencies band (LF, HF). The embedded watermark can be of any types of signal (text, audio and image). The insertion of the watermark data is performing in a frequency domain after applying discrete wavelet transformation on the cover audio segments. The normalize correlation and the signal to noise ratio metrics are used to test the performance of the proposed method in terms of the robustness and imperceptibility. Test results show that an improvement of the robustness against some type of attacks when the watermark is adaptively embedded in a different wavelet bands.

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