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[Performance enhancement of relays used for next generation wireless communication networks ]]>
<![CDATA[Saraju Prasad Padhy]]>;
<![CDATA[Madhusmita Panda]]>;
<![CDATA[Srinivas Sethi]]>;
<![CDATA[Aruna Tripathy]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 1: April 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i1.pp27-36
<![CDATA[Relaying is one of the latest communication technologies developed for wireless networks like WiMAX, LTE Advanced and 5G Ultra Reliable Low Latency Communication (URLLC) networks to provide coverage extension as well as higher bitrates for cell edge users. Thus they are included in the design of next generation wireless communication systems to provide performance improvement in terms of coverage and capacity over their predecessors. Other promising features of this technology include easy to implement and reduction in deployment cost. The objective of this paper is to analyze both cooperative and non-cooperative relaying techniques in the Infinite Block length regime and findout the benefits of Relay implementation. A single Amplify and Forward (A&F) Relay is used for this purpose. Reduction in power requirement for Simple Relay is shown in comparison to the direct transmission, using experimental analysis with Matlab simulation. SER (Symbol error rate) is calculated at the receiver for no relay, simple Relay and Cooperative Relaying scenario to show the improvements of cooperative Relaying implementation.The performance enhancement of the Relay is then carried out using Particle Swam Optimization (PSO) optimization technique where allocation of power between Base station and Relay Node is effectively distributed for optimum performance.]]>
<![CDATA[Impact of ICT as effective teaching- learning in higher education institutions in India ]]>
<![CDATA[Bhinde, Ramesh]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 1: April 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i1.pp%p
<![CDATA[The aim of this paper is to examine role of ICTs in teaching-learning in higher education in India. ICT-Based education is a system of instruction that involves combination of computers and communication technologies. Information and Communication Technology (ICT) and in current trend ICT has become a common platform for majority population all over the globe. Web application and multimedia technologies have revolutionized educational field.Hence ICT plays a vital role in the field of Education especially in Higher Education. ICT Integration is important in combating digital divide, bringing about digital opportunity and paradigm shift from teacher centered to student centered learning, whereby the teacher passes the information quicker and in a more understandable manner.Implementation of ICTs, empowering teachers and supporting them in their engagement with students in learning. There are endless possibilities with the integration of ICT in the higher education system. ]]>
<![CDATA[Educational data mining in moodle data ]]>
<![CDATA[Sushil Shrestha]]>;
<![CDATA[Manish Pokharel]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 1: April 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i1.pp9-18
<![CDATA[The main purpose of this research paper is to analyze the moodle data and identify the most influencing features to develop the predictive model. The research applies a wrapper-based feature selection method called Boruta for the selection of best predicting features. Data were collected from eighty-one students who were enrolled in the course called Human Computer Interaction (COMP341), offered by the Department of Computer Science and Engineering at Kathmandu University, Nepal. Kathmandu University uses Moodle as an e-learning platform. The dataset contained eight features where Assignment.Click, Chat.Click, File.Click, Forum.Click, System.Click, Url.Click, and Wiki.Click was used as the independent features and Grade as the dependent feature. Five classification algorithms such as K Nearest Neighbour, Naïve Bayes, and Support Vector Machine (SVM), Random Forest, and CART decision tree were applied in the moodle data. The finding shows that SVM has the highest accuracy in comparison to other algorithms. It suggested that File.Click and System.Click was the most significant feature. This type of research helps in the early identification of students’ performance. The growing popularity of the teaching-learning process through an online learning system has attracted researchers to work in the field of Educational Data Mining (EDM). Varieties of data are generated through several online activities that can be analyzed to understand the student’s performance which helps in the overall teaching-learning process. Academicians especially course instructors who use e-learning platforms for the delivery of the course contents and the learners who use these platforms are highly benefited from this research.]]>
<![CDATA[Fuzzy logic decission maker for automatic feeder and water quality monitoring system ]]>
<![CDATA[Vivien Arief Wardhany]]>;
<![CDATA[Herman Yuliandoko]]>;
<![CDATA[Subono Subono]]>;
<![CDATA[A Wildan J]]>;
<![CDATA[Tomy Iskandar]]>;
<![CDATA[M. Udin Harun A. L]]>;
<![CDATA[I Gede Puja A]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 1: April 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i1.pp37-45
<![CDATA[Feeding is one of the most important factors in vanammei shrimp culture. Feeding time must be scheduled regulary and it is prohibit from being late. Because it can affect to the development and growth of vanammei shrimp. The Research of monitoring and control system of vanammei shrimp feeding continues to be developed. The development of hardware and software in this study prioritizes monitoring of pH conditions, oxygen levels, and pond temperatures. The measurement results of pH, oxygen levels and pond temperature can be used as decision makers for vanammei shrimp feeding schedules. The decision making system using the Fuzzy Logic method. The development of control devices for feeding aims to set a schedule for feeding automatically. The use of monitoring devices and automatic Feeder control of shrimp feeding can reduce the accumulation of leftover shrimp feed, so that feeding can be more efficient.]]>
<![CDATA[An efficient forward error correction code for wireless sensor networks ]]>
<![CDATA[Salah A. Alabady]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 2: August 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i2.pp104-115
<![CDATA[The main requirements in the design of wireless sensor network applications are to minimize energy consumption and maximize battery lifetime. Power is primarily consumed during wireless transmission and reception. Automatic repeat request (ARQ) and forward error correction (FEC) are the two basic methods to recover erroneous packets. As energy conservation is a major issue of concern in wireless sensor networks, repeat transmission because the error in the data received is not an option, and FEC would be preferred over ARQ. FEC is applied in situations where retransmissions are relatively costly or impossible. A successful data transmission means a higher energy saving and a long-life network. This paper presents a novel linear block forward error correction code for wireless sensor network applications called Low Complexity Parity Check (LCPC). The LCPC code offers lower encoding and decoding complexity than other types of codes. To validate the performance of the LCPC code, the proposed coding scheme was investigated at different values of data transmission with different types of modulations over Additive white Gaussian noise (AWGN) and Rayleigh fading channels. The simulation results show that the proposed code outperforms the renowned LDPC (8, 4), (255,175), and (576, 288) codes.]]>
<![CDATA[Overview of EEG Signal Processing for Brain Response to Stimuli ]]>
<![CDATA[Ravindra, Bhat]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 3: December 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i3.pp%p
<![CDATA[The brain is one of the most complicated organs in the human body that controls the entire actions/reactions of the body by getting diverse stimuli via the nervous system. The stimulus that is stronger than the threshold stimulus is decoded by the sensory neurons counts creating information on the frequency and the stimulus of the action potentials. This work intends to plan a detailed survey on brain response to stimuli in EEG signal processing by reviewing 35 papers to determine the shortcoming of contributed works. The analysis is exploited in terms of chronological review, and algorithmic analysis. This analysis determines the utilization of diverse models/approaches in the contributed papers. Moreover, the performance parameter analysis along with the best performance is as well stated clearly. Finally, the research gaps and challenges that rely on this topic are clearly described that paves the way for future research contributions.]]>
<![CDATA[Decision Making for Multi-Criteria Recommender System with Interaction and Non-Interaction Between Criteria ]]>
<![CDATA[Huynh, Tri]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 11, No 1: April 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v11i1.pp%p
<![CDATA[The recommender systems are increasingly being more inrested in many fields of the life, it is increasingly effective in finding information to suggest to users in big data systems. The multi-criteria recommender systems are alwaysresearched and improved to suit the diverse requirements of data and userpreferences today. The calculation to make a reasonable decision is required for the multi-criteria consulting system. Many operations have been applied todecision making. Most traditional recommender systems often use average calculations to calculate useful values used in decision making. In this paper, we offer a new approach to develope decision-making based on interaction andnon-interaction between criteria. In an information system, data always hasinteractive relationships that represent intrinsic values in the system. If we do not add these values to calculate decision-making, the decision making willnot be complete. We build a multi-criteria consulting model in both Item-based(compare and evaluate results with some existing models) and User-based(Compare decision making operations) with non-interactive and interactivedecisions. Experiments show that when using interactive values, the results aremuch better, contributing to improving the quality of the current multi-criteria consulting system.]]>
<![CDATA[Data mining techniques for lung and breast cancer diagnosis: A review ]]>
<![CDATA[Bakhan Tofiq Ahmed]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 2: August 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i2.pp93-103
<![CDATA[Today, cancer counted as the riskier disease than the other diseases in the globe. There are many cancer forms like leukemia, skin cancer, and stomach cancer but lung and breast cancer are the most common forms that many people suffered from. Cancer is the disease that cell has grown rapidly and abnormally that is why treating it is somehow tough in some cases but it can be controlled if it is detected in the initial stage. Data-mining classification algorithms had a vital role in predicting and recognizing both benign and malignant cell. Several classifiers are available to classify the usual and unusual cells such as decision-tree, artificial-neural net, SVM, and KNN. This paper presents a systematic review about the most well-known data-mining classification algorithms for lung and breast cancer diagnose. A brief review about KDD and the data-mining concept has demonstrated. The Decision-Tree (D-Tree), ANN, Support-vector-machine, and naïve Bayes classifier that is widely utilized in the biomedical field has been reviewed along with the some algorithms such as C4.5, Cart, and Iterative -Dichotomiser 3 ‘ID3’. A comparison has been done among various reviewed papers in terms of accuracy that used various data-mining classification algorithms to propose the lung and breast cancer diagnosis system. The experimental results of the reviewed papers showed that the Multilayer Perceptron (MLP) and Logistic Regression (LR) gave a higher accuracy of 99.04% and 98.1%, respectively.]]>
<![CDATA[Knowledge and utilization of health informatics among medical doctors in Ahmadu Bello University Teaching Hospital, Shika-Zaria ]]>
<![CDATA[Jamila Mohammed Dahiru]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 3: December 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i3.pp171-181
<![CDATA[The strategic visions in the health care system now underpin application of Information Communication Technology for effective care delivery. Recognising the potentials of ICT for Health, the Nigerian government as part of its policy derive towards achieving effective health care delivery by the year 2020, adopted use of ICT for effective healthcare delivery. Part of the target was establishment of ICT/Health informatics units in teaching hospitals in the country. This study assessed level of knowledge and utilization of health informatics among medical doctors in Ahmadu Bello University, Shika-Zaria. Premised on the Unified Theory of Acceptance and Use of Technology, this study adopted descriptive survey method and structured questionnaire as its instrument of data collection. Findings revealed that 91.4% (n=201) of the 220 sampled medical doctors in ABUTH are aware of health informatics and that 68.2% (n=150) have knowledge of how to use it. The most prominent areas of health informatics among the medical doctors are ‘Management Information System’, ‘Electronic Health Record System’ and ‘Electronic Medical Record’. However, only 58.6% (n=129) of the medical doctors in BUTH Shika- Zaria are actually utilizing health informatics. Internet (n=133, 60.5%) and interpersonal sources (n= 71, 32.3%) were found to be the major sources of information of knowledge and utilization of health informatics among the medical doctors. The study therefore recommends that ABUTH, Shika-Zaria should put in place more mechanism for creating awareness on use of health informatics varieties and a strong need for time-series research to examine future development in respect to knowledge and utilization of health informatics in Nigerian health institutions.]]>
<![CDATA[Service-aware LSP selection with fuzzy based packet scheduling scheme for non-real time traffics ]]>
<![CDATA[Oba Zubair Mustapha]]>;
<![CDATA[Muhammad Ali]]>;
<![CDATA[Yim Fun Hu]]>;
<![CDATA[Raed A. Abd-Alhameed]]>
<![CDATA[ International Journal of Informatics and Communication Technology (IJ-ICT) Vol 10, No 2: August 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijict.v10i2.pp126-139
<![CDATA[An essential solution is available in Multi-protocol label switching (MPLS), which solve the problems faced by present-day networks: speed, scalability, quality-of-service (QoS) management, and traffic engineering. This paper is an extension of work on Fuzzy based Packet Scheduling Algorithm (FPSA) combined with Packets Processing Algorithm (PPA) in an Internet Protocol/Multi-Protocol Label Switching (IP/MPLS) networks. This will make provision for an intelligent service to the Label Switched Path (LSP) in MPLS networks. Several research work have been proposed on the MPLS Traffic Engineering. However, it is still imperative to further research on the effect of bandwidth increment on the core network using different mechanisms such as the analytical model of MPLS, expert-based packet scheduling algorithm for MPLS QoS support. Since MPLS is not able to provide intelligent routing, it is necessary to propose an intelligent expert system of FPSA combined with PPA. And analytical model of packet forwarding in the MPLS network would be given to provide suitable solution to traffic congestion and reliable services. Furthermore, the network model created using Network Simulator (NS 2), which carries non-real time application such as File Transfer Protocol (FTP) with bandwidth variations. The results obtained from trace files are interpreted by AWK script and used for the further analysis.]]>
