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Performance evaluation of ad-hoc on-demand distance vector protocol in highway environment in VANET with MATLAB </text>
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                <text>Vehicular ad-hoc network (VANET), the development of this network in&#13;
recent years has become one of the most important areas of research. The primary goal of using the VANET network is to reduce the number of deaths and enhance road safety. VANET network faces some problems when routing packets between vehicles, due to the high-speed movement of vehicles. Therefore, researchers have begun to develop routing protocols in the VANET network to overcome these problems when routing packets between vehicles. In this study, the effect of changing the number of vehicles on the performance of ad-hoc on-demand distance vector (AODV) protocol will be studied in the highway environment and in the case of vehicle movement at variable speeds&#13;
between (40-120 km/h) and the simulation time is 200 sec. The ad-hoc on-demand distance vector protocol performance was evaluated by three performance measures (end-to-end delay, dropped packets, overhead and packet delivery ratio).</text>
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                <text>Osama A. Qasim, Mohammed Sami Noori, Mohand Lokman Ahmad Al Dabag</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i1.20876</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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Applying artificial intelligence for the application of bridges deterioration detection system</text>
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                <text>Recently, advances in sensor technologies, data communication paradigms, and data processing algorithms all affect the feasibilities of the bridges structural health monitoring and deterioration detection, and other implementations of monitoring operations. The paper proposes a method to design an irregularity detection and monitoring system for road bridges that combines internet of things (IoT) and artificial intelligence (AI) technologies. Raspberry Pi 4 embedded computer integrating IoT and AI technology with convolutional neural network (CNN) is employed to simultaneously monitor remote bridges on websites and apps via Google Firebase cloud database. The first step of successful testing in the laboratory showed that the system can work stably and coincide with the proposed goals. </text>
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                <text>Xuan-Kien Dang, Le Anh-Hoang Ho, Xuan-Phuong Nguyen, Ba-Linh Mai</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i1.20783</text>
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The bounds for the distance two labelling and radio labelling of nanostar tree dendrimer</text>
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                <text>The distance two labelling and radio labelling problems are applicable to find the optimal frequency assignments on AM and FM radio stations. The distance two labelling, known as L(2,1)-labelling of a graph A, can be&#13;
defined as a function, k, from the vertex set V(A) to the set of all non-&#13;
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vertices c and s in A where the absolute values of the difference between k(c) and k(s) are greater than or equal to both 2 and 1 if d(c, s)=1 and d(c, s) = 2, respectively. The L(2,1)-labelling number of A, denoted by λ2,1&#13;
(A), can be defined as the smallest number j such that there is an L(2,1) −labeling with maximum label j. A radio labelling of a connected graph A is an injection k from the vertices of A to N such that (c, s) + |k(c) − k(s)| ≥ 1 + d ∀ c, s ∈ V(A), where d represents the diameter of graph A. The radio numbers of k and A are represented by rn(k) and rn(A) which are the maximum number assigned to any vertex of A and the minimum value of rn(k) taken over all labellings k of A, respectively. Our main goal is to obtain the bounds for the distance two labelling and radio labelling of nanostar tree dendrimers. </text>
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                <text>Kins Yenoke, Mohammed K. A. Kaabar</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i1.20404</text>
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Network and layer experiment using convolutional neural network for content based image retrieval work </text>
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                <text>In this study, a test will be conducted to find out how the results of&#13;
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network algorithm. The performance and accuracy of the retrieval process method that was tested using the algorithm approach to do an object image retrieval. The expected results of this study are the techniques offered can provide relatively better results compared to previous studies. The results of the classification of object images with different levels of confusion on the Caltech 101 database resulted an average accuracy value. From the experiments conducted in the study, content based image retrieval work (CBIR) work using convolutional neural network (CNN) algorithm in terms of execution time, loss testing and accuracy testing. From several experiments on layers and networks shows that, the more hidden layers used, then the result is better. The graph of validation loss decreases at fewer epochs, slightly fluctuating at more epochs. Likewise, validation accuracy increases insignificantly on epochs with small amounts, but tends to be stable on more epochs.</text>
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                <text>Fachruddin, Saparudin, Errissya Rasywir, Yovi Pratama</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i1.19759</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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        <name>Content based image retrieval</name>
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Review of microgrid protection strategies: current status and future prospects</text>
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                <text>Distributed generation microgrid, Protection, Renewable energy</text>
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                <text>A microgrid is a developed form of a distribution system, which is integrated with a set of different types of distributed generation (DG) to supply local demand. In spite of that microgrids have many advantages as they increase reliability, raise efficiency, decrease feeder losses and voltage sag correction. However, there are many technical challenges faced, one of them is the protection of microgrid. Conventional protections have been made for radial distribution systems configuration. Where supplying source has one direction and the power flow is defined. The DG penetration converts the distribution network to a multi sources system causes a bidirectional power flow. Also, the most of DG uses a DC to AC converter which limit the fault current level. Therefore, a suitable protection scheme for microgrid ought to be designed to protect a microgrid from any disturbances may occur for both modes of operation grid-connected and islanded. The purpose of this paper is to summarize the challenges and problems facing microgrid protection. As well as the most strategies to date are presented with a discussion of their basic principles of operation to solve these problems. Finally, some conclusions and suggestions for microgrid protection in the future are presented.</text>
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              <elementText elementTextId="45124">
                <text>Zaid Alhadrawi, Mohd Noor Abduallah, Hazlie Mokhlis</text>
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            <name>Source</name>
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              <elementText elementTextId="45125">
                <text>DOI: 10.12928/TELKOMNIKA.v20i1.19652</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="45126">
                <text>Universitas Ahmad Dahlan</text>
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                <text>February 2022</text>
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              <elementText elementTextId="45128">
                <text>Sri Wahyuni</text>
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            </elementTextContainer>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45129">
                <text>ISSN: 1693-6930</text>
              </elementText>
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                <text>http://journal.uad.ac.id/index.php/TELKOMNIKA</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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        <name>Distributed generation microgrid</name>
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        <name>Jurnal Nasional Informatika</name>
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        <name>Protection</name>
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                  <text>VOL. 20, NO. 1 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Radial radio number of chess board graph and king’s graph</text>
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                <text>Chess board graphs, Ladder graph, King’s graph, Radial radio labeling, Radial radio number</text>
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                <text>A radial radio labeling ד of a connected graph G = (V, E) with radius rad(G) is a mapping from V (G) to N ∪ {0} satisfying |ד(u) − ד(w)|+ d(u, w) ≥ 1 + rad(G), ∀ u, v ∈ V (G). The span of a radial radio labeling ד, denoted by rr(ד) is the greatest number in the range of ד. The minimum span taken over all radial radio labelings ד of G is called the radial radio nmber of G and it is denoted by rr(G). In this article, we have investigated the upper bounds for rr(G) of chess board graphs and king’s graph. </text>
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                <text>Kulandaivel Maruthamuthu Paramasivam, Kins Yenoke, Baby Smitha Kanaka Muralidharan</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="45111">
                <text>DOI: 10.12928/TELKOMNIKA.v20i1.19493</text>
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            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="45112">
                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="45115">
                <text>ISSN: 1693-6930</text>
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                <text>http://journal.uad.ac.id/index.php/TELKOMNIKA</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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        <name>Chess board graphs</name>
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        <name>Jurnal Nasional Informatika</name>
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        <name>Radial radio labeling</name>
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                  <text>VOL. 20, NO. 1 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Design of multiple-input and multiple-output antenna for modern wireless applications </text>
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          <element elementId="49">
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              <elementText elementTextId="45094">
                <text>5G MIMO antennas, Coefficient of correlation, Reflection coefficient, UWB array antenna, VSWR</text>
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                <text>In this paper, multiple-input and multiple-output (MIMO) antennas are&#13;
designed and simulated. The designed antennas are compact double-sided printed microstrip patch antennas and fed by a microstrip line. These antennas are designed for 3.5 to 10 GHz frequencies used for medical, industrial, sciences, and various fields of 5G communications and networking applications. Furthermore, a MIMO system is designed using the polarization variability of the individual antennas, which yields better results in terms of mutual coupling (S12 and S21), reflection coefficient (S11 and S22), and voltage standing wave ratio (VSWR), which is less than 2 indicate improved matching conditions. The designed antennas showed an acceptable gain (around 2 dB) and an envelope correlation coefficient (ECC) is &lt;0.002. In addition, the proposed MIMO antennas exhibited isolation is -25 dB at 6 GHz, which is preferable in 5G mobile antennas. </text>
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                <text>Karrar Shakir Muttair, Oras Ahmed Shareef, Ahmed Mohammed Ahmed Sabaawi, Mahmood Farhan Mosleh</text>
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            <elementTextContainer>
              <elementText elementTextId="45097">
                <text>DOI: 10.12928/TELKOMNIKA.v20i1.19355</text>
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            </elementTextContainer>
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              <elementText elementTextId="45098">
                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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          <element elementId="47">
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                <text>ISSN: 1693-6930</text>
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                <text>http://journal.uad.ac.id/index.php/TELKOMNIKA</text>
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Exploiting performance gap among two users in reconfigurable intelligent surfaces-aided wireless systems </text>
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                <text>In this work, we study the outage performance of a reconfigurable intelligent surfaces (RIS)-aided wireless systems in the presence of non-orthogonal multiple access (NOMA). In particular, different power factors are allocated to users which belong a dedicated group. We derive exact outage probability of two users in a group. Specifically, it is assumed that the RIS is placed between the source and the users and far user has better performance under assistance of RIS. We also provide comparison analysis to investigate the effect of the main parameters on the outage performance of our proposed system, such as the number of tunable elements of the RIS, power allocation factors, target rates and the average signal-to-noise ratio at the base station. If we set small tunable elements for RIS, we can obtain the best performance. By using Monte-Carlo simulation, we verify our analytical results via simulations. Our main results reported in this paper show the positive effect once we deploy RISs for guaranteeing fairness among NOMA users in wireless systems. </text>
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                <text>Dinh-Thuan Do, Chi-Bao Le</text>
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Agriculture data visualization and analysis using data mining techniques: application of unsupervised machine learning </text>
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Comparative analysis of various machine learning algorithms for ransomware detection</text>
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                <text>Recently, the ransomware attack posed a serious threat that targets a wide range of organizations and individuals for financial gain. So, there is a real need to initiate more innovative methods that are capable of proactively detect and prevent this type of attack. Multiple approaches were innovated to detect attacks using different techniques. One of these techniques is machine learning techniques which provide reasonable results, in most attack detection systems. In the current article, different machine learning techniques are tested to analyze its ability in a detection ransomware attack. The top 1000 features extracted from raw byte with the use of gain ratio as a feature selection&#13;
method. Three different classifiers (decision tree (J48), random forest, radial basis function (RBF) network) available in Waikato Environment for Knowledge Analysis (WEKA) based machine learning tool are evaluated to achieve significant detection accuracy of ransomware. The result shows that random forest gave the best detection accuracy almost around 98%. </text>
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                <text>Sri Wahyuni</text>
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