International Journal of Informatics and Communication Technology (IJ-ICT)
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.
Articles
462 Documents
<![CDATA[Financial stock application using websocket in real time application ]]>
<![CDATA[Chika Ogochukwu Yinka-Banjo]]>;
<![CDATA[Ogundeyi Kehinde Esther]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 8, No 3: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v8i3.pp139-151
<![CDATA[Real time web application involves clients which is also known as a browser getting updates from the server as they happen. The finance world is moving fast, and human brains cannot sustain processing data at that speed, so algorithms are used with regards to the limit observed in old-style real-time communication which include long polling, polling server-sent events and comets, this paper uses WebSocket technology when dealing with real time applications. The Web Socket offers improved result as compared to the conventional approaches that are considered to be good solution of providing real time information and lessens overhead acquired while communicating over the internet and offers stateful, efficient communication among web servers and clients. When there is need to track companies worth/stock using a dashboard immediately and not some seconds ago, WebSocket can be used to stream data without delays.]]>
<![CDATA[Fast Data Acquisition of Aerial Images Using Unmanned Aerial Vehicle System ]]>
<![CDATA[Norhadija Darwin]]>;
<![CDATA[Anuar Ahmad]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 3, No 3: December 2014 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v3i3.pp162-170
<![CDATA[The present work discusses the technique and methodology of analysing the potential of fast data acquisition of aerial images using unmanned aerial vehicle system. This study utilizes UAV system for large scale mapping by using digital camera attached to the UAV. UAV is developed from the low-altitude photogrammetric mapping to perform the accuracy of the aerial photography and the resolution of the image. The Ground Control Points (GCPs) and Check Points (CPs) are established using Rapid Static techniques through GPS observation for registration purpose in photogrammetric process. The GCPs is used in the photogrammetric processes to produce photogrammetric output while the CP is employed for accuracy assessment. A Pentax Optio W90 consumer digital camera is also used in image acquisition of the aerial photograph. Besides, this study also involves image processing and map production using Erdas Imagine 8.6 software. The accuracy of the orthophoto is determined using the equation of Root Mean Square Error (RMSE). The final result from orthophoto is compared to the ground survey using total station to show the different accuracy of DEM and planimetric survey. It is discovered that root mean square errors obtained from UAV system are ± 0.510, ± 0.564 and ± 0.622 for coordinate x, y and z respectively. Hence, it can be concluded that the accuracy obtained from UAV system is achieved in sub meter. In a nutshell, UAV system has potential use for large scale mapping in field of surveying and other diversified environmental applications especially for small area which has limited time and less man power.]]>
<![CDATA[Diminution of real power loss by novel gentoo penguin algorithm ]]>
<![CDATA[Kanagasabai Lenin]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 9, No 3: December 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v9i3.pp151-156
<![CDATA[In this paper Gentoo Penguin Algorithm (GPA) is proposed to solve optimal reactive power problem. Gentoo Penguins preliminary population possesses heat radiation and magnetizes each other by absorption coefficient. Gentoo Penguins will move towards further penguins which possesses low cost (elevated heat concentration) of absorption. Cost is defined by the heat concentration, distance. Gentoo Penguins penguin attraction value is calculated by the amount of heat prevailed between two Gentoo penguins. Gentoo Penguins heat radiation is measured as linear. Less heat is received in longer distance, in little distance, huge heat is received. Gentoo Penguin Algorithm has been tested in standard IEEE 57 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.]]>
<![CDATA[Performance Evaluation of Broad Band CDMA Signal Using Beam Forming Antenna Technology for Next Generation Communications ]]>
<![CDATA[Javaid A Sheikh]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 4, No 2: August 2015 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v4i2.pp45-55
<![CDATA[In order to accommodate various multimedia services, next generation wireless networks are characterized by very high transmission rates. Thus, in such systems and networks, the received signal is not only limited by noise like Additive White Gaussian noise (AWGN) but especially with increasing data transmission rate by the Intersymbol Symbol Interference (ISI) due to time dispersion of channel. A number of techniques such as rake receiver in CDMA systems and equalizers in GSM systems have been proposed to combat the effect of fading so as to improve the performance of wireless communication network. In this paper we evolve the performance of uncoded uplink transmission in broadband CDMA using beam forming technique under multipath conditions. The beam-former has been implemented using Transport Delay Line (TDL) filters. An expression for the optimal weights of a TDL based beam former has been derived. A carrier frequency of 2 Ghz has been used in this work as they are useful for next generation wireless systems. Simulation results show that TDL beamformer can reduce the multipath fading and Multiple Access Interferance (MAI). It has been shown that if SNR (related with Variance of the channel) is maintained at 10 db and if a 3 ray based beamformer having 3 antennas with 3 taps is used, the Error Rate of 0.1was found without using channel coding.]]>
<![CDATA[Perform Measuring by Using Image Processing ]]>
<![CDATA[Sundus Khaleel Ebraheem]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 5, No 1: April 2016 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v5i1.pp36-44
<![CDATA[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.]]>
<![CDATA[Detection & Classification of Cardiac Arrhythmia ]]>
<![CDATA[Chetan M. Jadhav]]>;
<![CDATA[V. K. Bairagi]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 6, No 1: April 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v6i1.pp31-36
<![CDATA[The term Arrhythmia refers to any change from the normal sequence in the electrical impulses. It is also treated as abnormal heart rhythms or irregular heartbeats. The rate of growth of Cardiac Arrhythmia disease is very high & its effects can be observed in any age group in society. Arrhythmia detection can be done in many ways but effective & simple method for detection & diagnosis of Cardiac Arrhythmia is by doing analysis of Electrocardiogram signals from ECG sensors. ECG signal can give us the detail information of heart activities, so we can use ECG signals to detect the rhythm & behaviour of heart beats resulting into detection & diagnosis of Cardiac Arrhythmia. In this paper new & improved methodology for early Detection & Classification of Cardiac Arrhythmia has been proposed. In this paper ECG signals are captured using ECG sensors & this ECG signals are used & processed to get the required data regarding heart beats of the human being & then proposed methodology applies for Detection & Classification of Cardiac Arrhythmia. Detection of Cardiac Arrhythmia using ECG signals allows us for easy & reliable way with low cost solution to diagnose Arrhythmia in its prior early stage.]]>
<![CDATA[Markovian Segmentation of Brain Tumor MRI Images ]]>
<![CDATA[Meryem Ameur]]>;
<![CDATA[Cherki Daoui]]>;
<![CDATA[Najlae Idrissi]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 6, No 3: December 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v6i3.pp155-165
<![CDATA[Image segmentation is a fundamental operation in image processing, which consists to di-vide an image in the homogeneous region for helping a human to analyse image, to diagnose a disease and take the decision. In this work, we present a comparative study between two iterative estimator algorithms such as EM (Expectation-Maximization) and ICE (Iterative Conditional Estimation) according to the complexity, the PSNR index, the SSIM index, the error rate and the convergence. These algorithms are used to segment brain tumor Magnetic Resonance Imaging (MRI) images, under Hidden Markov Chain with Indepedant Noise (HMC-IN). We apply a final Bayesian decision criteria MPM (Marginal Posteriori Mode) to estimate a final configuration of the resulted image X. The experimental results show that ICE and EM give the same results in term of the quality PSNR index, SSIM index and error rate, but ICE converges to a solution faster than EM. Then, ICE is more complex than EM.]]>
<![CDATA[Using Naïve Bayes and Bayesian Networkfor Prediction of Potential Problematic Cases in Tuberculosis ]]>
<![CDATA[Awad Ali]]>;
<![CDATA[Moawia Elfaki]]>;
<![CDATA[Dayang Norhayati]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 1, No 2: December 2012 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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<![CDATA[Both Data Mining techniques and Machine Learning algorithms are tools that can be used to provide beneficial support in constructing models that could effectively assist medical practitioners in making comprehensive decisions regarding potential problematic cases in Tuberculosis (TB). This study introduces two machine learning techniques which are Naïve Bayes inductive learning technique and the state of the art Bayesian Networks. These two techniques can be used towards constructing a model that can be used for predicting potential problematic cases in Tuberculosis. To construct a model, this study made have use of data collected from an Epidemiology laboratory. The volume of data was collated and divided into two data sets which are the training dataset and the investigation dataset. The model constructed by this study has shown a high predictive capability strength compared to other models presented on similar studies.DOI: http://dx.doi.org/10.11591/ij-ict.v1i2.1424]]>
<![CDATA[Brain Tumor Detection Using Wathershed Segmentation Techniques and Area Calculation ]]>
<![CDATA[Meenakshi Pareek]]>;
<![CDATA[CK Jha]]>;
<![CDATA[Saurabh Mukherjee]]>;
<![CDATA[Chandani Joshi]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 7, No 2: August 2018 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v7i2.pp71-76
<![CDATA[This paper primarily focuses on to employ a novel approach to classify the brain tumor and its area. The Tumor is an uncontrolled enlargement of tissues in any portion of the human body. Tumors are of several types and have some different characteristics. According to their characteristics some of them are avoidable and some are unavoidable. Brain tumor is serious and life threatening issues now days, because of today’s hectic lifestyle. Medical imaging play important role to diagnose brain tumor .In this study an automated system has been proposed to detect and calculate the area of tumor. For proposed system the experiment carried out with 150 T1 weighted MRI images. The edge based segmentation, watershed segmentation has applied for tumor, and watershed segmentation has used to extract abnormal cells from the normal cells to get the tumor identification of involved and noninvolved areas so that the radiologist differentiate the affected area. The experiment result shows tumor extraction and area of tumor find the weather it is benign and malignant.]]>
<![CDATA[Bounds on Codes Correcting Periodic Errors Blockwise ]]>
<![CDATA[Pankaj Kr Das]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 2, No 1: April 2013 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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<![CDATA[This paper presents a necessary and sufficient condition on the number of paritycheck digits required for the existence of codes correcting periodic errors of different ordersin different blocks of a code. An example of such a code has also been provided.DOI: http://dx.doi.org/10.11591/ij-ict.v2i1.1332]]>
