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                  <text>VOL. 19, NO. 6 2021</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Performance gap of two users in downlink full-duplex cooperative NOMA</text>
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                <text>Non-orthogonal multiple access&#13;
Outage probability&#13;
Power beacon&#13;
Throughput</text>
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                <text>A full-duplex non-orthogonal multiple access (FD-NOMA) systems are&#13;
expected to play a significant role in fifth generation (5G) networks,&#13;
addressing spectrum efficiency and massive connections. In this regard, the&#13;
feasibility of FD communications to improve spectrum utilization is main&#13;
consideration in term of outage performance. Specifically, we derive exact&#13;
formulas of outage probability for FD-NOMA, over Nakagami-m fading&#13;
channels. Extensive analysis revealed that higher quality of channel leads to&#13;
better performance. We verify expressions throughout Monte-Carlo&#13;
simulations.</text>
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                <text>Tu-Trinh Thi Nguyen, Dinh-Thuan Do</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Improved fuzzy miner algorithm for business process discovery</text>
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                <text>Business process model&#13;
Fuzzy miner&#13;
Process discovery&#13;
Process mining&#13;
Time-based algorithm</text>
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                <text>Return material authorization (RMA) is a process in which a company&#13;
decides to repair or replace customer’s defect product during the warranty&#13;
period. To execute RMA, both company and customer obliged to follow&#13;
standard operating procedure (SOP) which usually consists of many business&#13;
processes of a company well. As the business process could cause&#13;
inefficiencies, a company should improve their business process regularly.&#13;
The best way is using process discovery. This research proposes a new&#13;
improved fuzzy miner algorithm to represent binary correlation between&#13;
activities. This new algorithm utilizes binary significance and binary&#13;
correlation equally to acquire fuzzy model. While the original fuzzy miner&#13;
algorithm uses various binary correlation metrics, the improved fuzzy miner&#13;
algorithm uses only one metric and could capture the fuzzy model, accurately&#13;
based on the event logs to capture more accurate business process model. In&#13;
this research, ProM fuzzy miner is used as a comparison to the proposed&#13;
improved time-based fuzzy miner. The results showed that the improved&#13;
algorithm has higher value on conformance checking and able to capture&#13;
business process model based on time interval, by using only time-interval&#13;
significance as a binary correlation metrics.</text>
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                <text>Yutika Amelia Effendi, Riyanarto Sarno, Danica Virlianda Marsha</text>
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                <text>May 10, 2021</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Blocking performance of extended pruned vertically stacked optical banyan structure under different link failure conditions</text>
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                <text>Blocking probability&#13;
EP-VSOB&#13;
PFR_LS algorithm&#13;
PFR_RS algorithm&#13;
VSOB</text>
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            <description>An account of the resource</description>
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                <text>The blocking performance of extended pruned vertically stacked optical&#13;
banyan (VSOB) networks under different link failure conditions has been&#13;
analyzed in this paper. We applied plane fixed routing with linear search and&#13;
plane fixed routing with random search algorithms to route the optical data&#13;
through the network in our simulation. Our simulation results show that adding&#13;
one or two extra planes to the pruned VSOB network reduces the blocking&#13;
probability significantly. Beyond two extra planes, the decrease of blocking&#13;
probability is not so significant. A close approximation of the minimum&#13;
number of planes required to make the extended pruned vertically stacked&#13;
optical banyan networks nonblocking has been presented.</text>
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                <text>Sabrina Alam, Fahmida Sharmin Jui</text>
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                <text>Sep 12, 2021</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Bilateral control system of the space robot with large delays</text>
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                <text>Bilateral control&#13;
Force feedback&#13;
Nonlinear control systems&#13;
Remote control&#13;
Space robots</text>
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                <text>The main obstacle of the construction of efficient remote-control systems for&#13;
space robots is a significant delay in transmissions of control signals to&#13;
robots from the earth-based control center and receiving feedback signals.&#13;
This significantly complicates the solution of control problem, especially if&#13;
robot’s manipulators move objects that have mechanical constraints. Our&#13;
work describes a method for bilateral control of a space robot with large&#13;
delays. The uniqueness of this method lies in the special structure of the&#13;
control algorithm. Bilateral control implies force feedback necessary for the&#13;
interaction of a space robot with objects that have holonomic connections.&#13;
We present a new mathematical model of the elements of the bilateral control&#13;
system and their computer implementation using specific examples.</text>
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                <text>G. Alferov, P. Efimova, D. Shymanchuk, S. Kadry, M. N. Meqdad</text>
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An LMI approach to Mixed H∞/H− fault detection observer design for linear fractional-order systems</text>
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H∞/H− robust optimization&#13;
Linear matrix inequality&#13;
Observer</text>
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                <text>This study deals with the problem of robust fault detection for linear time-&#13;
invariant fractional-order systems (FOSs) assumed to be affected by sensor,&#13;
&#13;
actuator and process faults as well as disturbances. The observer-based&#13;
method was employed to solve the problem, where the detector is an&#13;
observer. The problem was transformed into the mixed H∞/H− robust&#13;
optimization problem to make the system disturbance-resistant on one hand&#13;
and fault-sensitive on the other hand. Then, sufficient conditions were&#13;
obtained to solve the problem in the linear matrix inequality (LMI) mode.&#13;
Finally, the effectiveness and superiority of the method were demonstrated&#13;
by simulating the solutions on a single-input multi-output thermal testing&#13;
bench.</text>
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5G NOMA user grouping using discrete particle swarm optimization approach</text>
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Multiple access&#13;
Non-orthogonal&#13;
Particle swarm optimization&#13;
User grouping</text>
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                <text>Non-orthogonal multiple access (NOMA) technology meets the increasing&#13;
demand for high-seed cellular networks such as 5G by offering more users to&#13;
be accommodated at once in accessing the cellular and wireless network.&#13;
Moreover, the current demand of cellular networks for enhanced user fairness,&#13;
greater spectrum efficiency and improved sum capacity further increase the&#13;
need for NOMA improvement. However, the incurred interference in&#13;
implementing NOMA user grouping constitutes one of the major barriers in&#13;
achieving high throughput in NOMA systems. Therefore, this paper presents&#13;
a computationally lower user grouping approach based on discrete particle&#13;
swarm intelligence in finding the best user-pairing for 5G NOMA networks&#13;
and beyond. A discrete particle swarm optimization (DPSO) algorithm is&#13;
designed and proposed as a promising scheme in performing the user-grouping&#13;
mechanism. The performance of this proposed approach is measured and&#13;
demonstrated to have comparable result against the existing state-of-the art&#13;
approach.</text>
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                <text>Hadhrami Ab. Ghani, Farah Najwa Roslim, Muhammad Akmal Remli, &#13;
Eissa Mohammed Mohsen Al-Shari, Nurul Izrin Md Saleh, Azizul Azizan</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Solid waste classification using pyramid scene parsing network segmentation and combined features</text>
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                <text>Feature extraction&#13;
PSPNet&#13;
Segmentation&#13;
SVM&#13;
Waste classification</text>
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                <text>Solid waste problem become a serious issue for the countries around the world&#13;
since the amount of generated solid waste increase annually. As an effort to&#13;
reduce and reuse of solid waste, a classification of solid waste image is needed&#13;
to support automatic waste sorting. In the image classification task, image&#13;
segmentation and feature extraction play important roles. This research applies&#13;
recent deep leaning-based segmentation, namely pyramid scene parsing&#13;
network (PSPNet). We also use various combination of image feature&#13;
extraction (color, texture, and shape) to search for the best combination of&#13;
features. As a comparison, we also perform experiment without using&#13;
segmentation to see the effect of PSPNet. Then, support vector machine&#13;
(SVM) is applied in the end as classification algorithm. Based on the result of&#13;
experiment, it can be concluded that generally applying segmentation provide&#13;
better source for feature extraction, especially in color and shape feature, hence&#13;
increase the accuracy of classifier. It is also observed that the most important&#13;
feature in this problem is color feature. However, the accuracy of classifier&#13;
increase if additional features are introduced. The highest accuracy of 76.49%&#13;
is achieved when PSPNet segmentation is applied and all combination of&#13;
features are used.</text>
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                <text>Khadijah, Sukmawati Nur Endah, Retno Kusumaningrum, Rismiyati, Priyo Sidik Sasongko,&#13;
&#13;
Iffa Zainan Nisa</text>
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Mode NASA blade used to calculate the power generator for (VAWT) by drag and lift coefficients</text>
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                <text>Grade of power&#13;
Integrated power&#13;
Performance of the power&#13;
stability&#13;
Power stability&#13;
VAWT response</text>
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            <description>An account of the resource</description>
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                <text>One of the confrontations with increasing demand on power in the entire&#13;
world the methodologies of provided power divided into traditional methods&#13;
against renewable methods. This article presents a simulation model to&#13;
estimate the integrated power from vertical access wind turbine (VAWT)&#13;
stages of development of a simulation model of local power supply system&#13;
(LPSS) with (VAWT). However, wind power is one of the quickest&#13;
developing advances for the sustainable power age. Disturbingly, in the&#13;
ongoing years a few instances of corruption on telecommunication systems&#13;
frameworks have emerged because of the presence of wind ranches, and&#13;
costly and in fact complex restorative estimations needed. The grade of&#13;
variation of power verified according to the grid size. The parameters were&#13;
taken in the study through the preparation of the model are (efficiency, cost,&#13;
and system response) compared to the benefits against disadvantages when&#13;
combining the two systems to achieve a high performance of the power&#13;
stability.</text>
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                <text>Ibrahim Amer Ibrahim, Mohammed Saeed Mohammed, A. Ibrahim, O. J. Abdalgbar</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&#13;
A new design of UHF tag antenna for clothing identification using SRR</text>
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                <text>Antenna&#13;
Clothing identification&#13;
Metamaterial&#13;
RFID&#13;
Tag antenna</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>In this paper, we present a new antenna for radio frequency identification&#13;
(RFID) tag operating in the Moroccan ultra high frequency (UHF) band&#13;
around 868 MHz, this antenna is designed on a flexible plastic substrate of&#13;
relative permittivity 3 and low tangential losses which is 0.002. The proposed&#13;
tag is designed to identify clothing in supermarkets. The tag antenna has a&#13;
miniature size of 38 mm in length and 26 mm in width. This miniature size&#13;
was obtained by using two rectangular split ring resonator (RSRR). The&#13;
impedance matching of the RFID chip with the antenna was carried out by a&#13;
double T-matching structure. The antenna is designed, simulated and&#13;
optimized using computer simulation technology (CST) microwave studio&#13;
software and good results have been obtained in terms of impedance&#13;
matching, gain and read range.</text>
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                  <text>VOL. 19, NO. 6 2021</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Solving software project scheduling problem using grey wolf optimization</text>
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                <text>Grey wolf optimization&#13;
Resource-constrained project&#13;
scheduling&#13;
Software project management&#13;
Software project scheduling&#13;
problem</text>
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                <text>In this paper, we will explore the application of grey wolf optimization&#13;
(GWO) methodology in order to solve the software project scheduling&#13;
problem (SPSP) to seek an optimum solution via applying different instances&#13;
from two datasets. We will focus on the effects of the quantity of employees&#13;
as well as the number of tasks which will be accomplished. We concluded&#13;
that increasing employee number will decrease the project’s duration, but we&#13;
could not find any explanation for the cost values for all instances that&#13;
studied. Also, we concluded that, when increasing the number of the tasks,&#13;
both the cost and duration will be increased. The results will compare with a&#13;
max-min ant system hyper cube framework (MMAS-HC), intelligent water&#13;
drops algorithm (IWD), firefly algorithm (FA), ant colony optimization&#13;
(ACO), intelligent water drop algorithm standard version (IWDSTD), and&#13;
intelligent water drop autonomous search (IWDAS). According to these&#13;
study and comparisons, we would like to say that GWO algorithm is a better&#13;
optimizing tool for all instances, except one instance that FA is outperform&#13;
the GWO.</text>
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                <text>Marrwa Abd-AlKareem Alabajee, Dena Rafaa Ahmed, Taghreed Riyadh Alreffaee</text>
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