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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Fault-tolerant backup storage system for confidential data in distributed servers</text>
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                <text>Backup storage&#13;
Cryptographic algorithms&#13;
Elliptic curve cryptography&#13;
Information security&#13;
System fault tolerance</text>
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                <text>This article addresses the critical issue of securing backup storage for&#13;
confidential data, a key concern in safeguarding the operations of critical&#13;
information systems dealing with extensive amounts of sensitive&#13;
information. The study proposes a novel cryptographic fault-tolerant backup&#13;
storage system for confidential data, leveraging cryptographic algorithms&#13;
and protocols. These protocols enable message encryption, ensuring&#13;
decryption is only possible after a specified time period. The proposed&#13;
system combines various distributed key generation protocols, proactive&#13;
secret sharing protocols, asymmetric encryption algorithms, and digital&#13;
signature algorithms. By employing such cryptographic protocols,&#13;
it becomes feasible to develop and implement a robust, fault-tolerant service&#13;
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Impact of CuS counter electrode calcination temperature on quantum dot sensitized solar cell performance</text>
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                <text>CuS counter electrode&#13;
Electrochemistry property&#13;
Structure property</text>
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                <text>In place of the commercial Pt electrode used in quantum sensitized solar&#13;
cells, the low-cost CuS cathode is created using electrophoresis. High&#13;
resolution scanning electron microscopy and X-ray diffraction were used to&#13;
analyze the structure and morphology of structural cubic samples with&#13;
diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar&#13;
cells is significantly impacted by the calcination temperatures of cathodes at&#13;
100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin&#13;
oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89%&#13;
when it was calcined at 120 °C. Compared to other temperature&#13;
combinations, CuS nanoparticles crystallize at 120 °C, which lowers&#13;
resistance while increasing electron lifetime.</text>
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                <text>Le Thi Ngoc Tu, Ha Thanh Tung</text>
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Evaluation of the weighted-overlap add model with massive MIMO in a 5G system</text>
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                <text>5G&#13;
Massive MIMO&#13;
MU-MIMO&#13;
OFDM&#13;
WOLA</text>
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                <text>The flaw in 5G orthogonal frequency division multiplexing (OFDM) becomes&#13;
apparent in high-speed situations. Because the doppler effect causes frequency&#13;
shifts, the orthogonality of OFDM subcarriers is broken, lowering both their&#13;
bit error rate (BER) and throughput output. As part of this research, we use a&#13;
novel design that combines massive multiple input multiple output (MIMO)&#13;
and weighted overlap and add (WOLA) to improve the performance of 5G&#13;
systems. To determine which design is superior, throughput and BER are&#13;
calculated for both the proposed design and OFDM. The results of the&#13;
improved system show a massive improvement in performance ver the&#13;
conventional system and significant improvements with massive MIMO,&#13;
including the best throughput and BER. When compared to conventional&#13;
systems, the improved system has a throughput that is around 22% higher and&#13;
the best performance in terms of BER, but it still has around 25% less error&#13;
than OFDM.</text>
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                <text>Nooruldeen Q. Ismaeel, Sarmad Khaleel Ibrahim, Hajer Najah Abdulsaheb</text>
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Reflector antenna design in different frequencies using frequency selective surfaces</text>
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                <text>Frequency selective surfaces&#13;
Radiation patterns&#13;
Reflector antenna&#13;
Transverse electric&#13;
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                <text>In this study, it is aimed to obtain two different asymmetric radiation patterns&#13;
obtained from antennas in the shape of the cross-section of a parabolic&#13;
reflector (fan blade type antennas) and antennas with cosecant-square radiation&#13;
characteristics at two different frequencies from a single antenna. For this&#13;
purpose, firstly, a fan blade type antenna design will be made, and then the&#13;
reflective surface of this antenna will be completed to the shape of the&#13;
reflective surface of the antenna with the cosecant-square radiation&#13;
characteristic with the frequency selective surface designed to provide the&#13;
characteristics suitable for the purpose. The frequency selective surface&#13;
designed and it provides the perfect transmission as possible at 4 GHz&#13;
operating frequency, while it will act as a band-quenching filter for&#13;
electromagnetic waves at 5 GHz operating frequency and will be a reflective&#13;
surface. Thanks to this frequency selective surface to be used as a reflective&#13;
surface in the antenna, a fan blade type radiation characteristic at 4 GHz&#13;
operating frequency will be obtained, while a cosecant-square radiation&#13;
characteristic at 5 GHz operating frequency will be obtained.</text>
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                <text>Shahir Fleyeh Nawaf, Lujain S. Abdulla, Abdulmutalib A-Wahab Hussein</text>
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                <text>peri irawan</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Big data cloud-based recommendation system using NLP techniques with machine and deep learning</text>
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                <text>Artificial intelligence&#13;
Big data&#13;
Keras&#13;
Natural language processing&#13;
Recommendation system</text>
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                <text>Recommendation systems (RS) are crucial for social networking sites.&#13;
Without it, finding precise products is harder. However, existing systems&#13;
lack adequate efficiency, especially with big data. This paper presents a&#13;
prototype cloud-based recommendation system for processing big data. The&#13;
proposed work is implemented by utilizing the matrix factorization method&#13;
with three approaches. In the first approach, singular value decomposition&#13;
(SVD) is used, which is an old and traditional recommendation technique.&#13;
The second recommendation approach is fine-tuned using the alternating&#13;
least squares (ALS) algorithm with Apache Spark. Finally, the deep neural&#13;
network (DNN) algorithm is utilized with TensorFlow. This study solves the&#13;
challenge of handling large-scale datasets in the collaborative filtering (CF)&#13;
technique after tuning the algorithms by adjusting the parameters in the&#13;
second approach, which uses machine learning, as well as in the third&#13;
approach, which uses deep learning. Furthermore, the results of these two&#13;
approaches outperformed conventional techniques and achieved an&#13;
acceptable computational time. The dataset size is about 1.5 GB and it is&#13;
collected from the Goodreads website API. Moreover, the Hadoop&#13;
distributed file system (HDFS) is used as cloud storage instead of the&#13;
computer’s local disk for handling larger dataset sizes in the future.</text>
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                <text>Hoger K. Omar, Mondher Frikha, Alaa Khalil Jumaa</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Design and simulation an optimal enhanced PI controller for congestion avoidance in TCP/AQM system</text>
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                <text>AQM&#13;
Computer network&#13;
Congestion control&#13;
NLPI controller&#13;
SOA</text>
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            <description>An account of the resource</description>
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                <text>In this paper, snake optimization algorithm (SOA) is used to find the optimal&#13;
gains of an enhanced controller for controlling congestion problem in&#13;
computer networks. M-file and Simulink platform is adopted to evaluate the&#13;
response of the active queue management (AQM) system, a comparison with&#13;
two classical controllers is done, all tuned gains of controllers are obtained&#13;
using SOA method and the fitness function chose to monitor the system&#13;
performance is the integral time absolute error (ITAE). Transient analysis and&#13;
robust analysis is used to show the proposed controller performance, two&#13;
robustness tests are applied to the AQM system, one is done by varying the size&#13;
of queue value in different period and the other test is done by changing the&#13;
number of transmission control protocol (TCP) sessions with a value of ± 20%&#13;
from its original value. The simulation results reflect a stable and robust&#13;
behavior and best performance is appeared clearly to achieve the desired&#13;
queue size without any noise or any transmission problems.</text>
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                <text>Yousra Abd Mohammed, Layla H. Abood, Nahida Naji Kadhim</text>
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                <text>http://telkomnika.uad.ac.id</text>
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                <text>Apr 30, 2023</text>
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              <elementText elementTextId="49093">
                <text>peri irawan</text>
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              <elementText elementTextId="49095">
                <text>english</text>
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        <name>AQM</name>
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        <name>Computer network</name>
      </tag>
      <tag tagId="8717">
        <name>Congestion control</name>
      </tag>
      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
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      <tag tagId="9966">
        <name>NLPI controller</name>
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                  <text>VOL. 21, NO. 5 2023</text>
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            <name>Title</name>
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              <elementText elementTextId="49077">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Deep learning approach to DDoS attack with imbalanced data at the application layer</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="49078">
                <text>ADASYN&#13;
Application layer&#13;
DDoS&#13;
Deep learning&#13;
LDAP&#13;
SMOTE</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>A distributed denial of service (DDoS) attack is where one or more computers&#13;
attack or target a server computer, by flooding internet traffic to the server.&#13;
As a result, the server cannot be accessed by legitimate users. A result of this&#13;
attack causes enormous losses for a company because it can reduce the level&#13;
of user trust, and reduce the company’s reputation to lose customers due to&#13;
downtime. One of the services at the application layer that can be accessed by&#13;
users is a web-based lightweight directory access protocol (LDAP) service&#13;
that can provide safe and easy services to access directory applications.&#13;
We used a deep learning approach to detect DDoS attacks on the CICDDoS&#13;
2019 dataset on a complex computer network at the application layer to get&#13;
fast and accurate results for dealing with unbalanced data. Based on the results&#13;
obtained, it is observed that DDoS attack detection using a deep learning&#13;
approach on imbalanced data performs better when implemented using&#13;
synthetic minority oversampling technique (SMOTE) method for binary&#13;
classes. On the other hand, the proposed deep learning approach performs&#13;
better for detecting DDoS attacks in multiclass when implemented using the&#13;
adaptive synthetic (ADASYN) method.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Rahmad Gunawan, Hadhrami Ab Ghani, Nurulaqilla Khamis, Januar Al Amien, Edi Ismanto</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="49081">
                <text>http://telkomnika.uad.ac.id</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>Mar 25, 2023</text>
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          <element elementId="37">
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            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="49083">
                <text>peri irawan</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49085">
                <text>english</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Electroencephalography-based brain-computer interface using neural networks</text>
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                <text>Brain-controller wheelchair&#13;
Electroencephalography&#13;
Fast fourier transform&#13;
Neural networks</text>
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            <description>An account of the resource</description>
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                <text>This study aimed to develop a brain-computer interface that can control an&#13;
electric wheelchair using electroencephalography (EEG) signals. First, we used&#13;
the Mind Wave Mobile 2 device to capture raw EEG signals from the surface of&#13;
the scalp. The signals were transformed into the frequency domain using fast&#13;
Fourier transform (FFT) and filtered to monitor changes in attention and&#13;
relaxation. Next, we performed time and frequency domain analyses to&#13;
identify features for five eye gestures: opened, closed, blink per second,&#13;
double blink, and lookup. The base state was the opened-eyes gesture, and we&#13;
compared the features of the remaining four action gestures to the base state to&#13;
identify potential gestures. We then built a multilayer neural network to&#13;
classify these features into five signals that control the wheelchair’s&#13;
movement. Finally, we designed an experimental wheelchair system to test the&#13;
effectiveness of the proposed approach. The results demonstrate that the EEG&#13;
classification was highly accurate and computationally efficient. Moreover,&#13;
the average performance of the brain-controlled wheelchair system was over&#13;
75% across different individuals, which suggests the feasibility of this&#13;
approach.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Pham Van Huu Thien, Nguyen Ngoc Son</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="49071">
                <text>http://telkomnika.uad.ac.id</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="49073">
                <text>peri irawan</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49075">
                <text>english</text>
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                  <text>VOL. 21, NO. 5 2023</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
A novel compact dual-band bandstop filter with enhanced rejection bands</text>
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                <text>Bandstop filter&#13;
Dual-band&#13;
Microstrip technology&#13;
Nonuniform transmission lines&#13;
Wideband</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>In this paper, we present the design of a new wide dual-band bandstop filter&#13;
(DBBSF) using nonuniform transmission lines. The method used to design&#13;
this filter is to replace conventional uniform transmission lines with&#13;
nonuniform lines governed by a truncated Fourier series. Based on how&#13;
impedances are profiled in the proposed DBBSF structure, the fractional&#13;
bandwidths of the two 10 dB-down rejection bands are widened to 39.72%&#13;
and 52.63%, respectively, and the physical size has been reduced compared&#13;
to that of the filter with the uniform transmission lines. The results of the&#13;
electromagnetic (EM) simulation support the obtained analytical response&#13;
and show an improved frequency behavior.</text>
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                <text>Ayyoub El Berbri1&#13;
&#13;
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&#13;
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&#13;
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Design, simulation, and analysis of microstrip patch antenna for wireless applications operating at 3.6 GHz</text>
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Microstrip patch antenna&#13;
Rogers RT/Duroid5880&#13;
VSWR&#13;
Wireless communication</text>
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                <text>In this study, a microstrip patch antenna that works at 3.6 GHz was built and&#13;
tested to see how well it works. In this work, Rogers RT/Duroid 5880 has been&#13;
used as the substrate material, with a dielectric permittivity of 2.2 and a thickness&#13;
of 0.3451 mm; it serves as the base for the examined antenna. The computer&#13;
simulation technology (CST) studio suite is utilized to show the recommended&#13;
antenna design. The goal of this study was to get a more extensive&#13;
transmission capacity, a lower voltage standing wave ratio (VSWR), and a&#13;
lower return loss, but the main goal was to get a higher gain, directivity, and&#13;
efficiency. After simulation, the return loss, gain, directivity, bandwidth, and&#13;
efficiency of the supplied antenna are found to be -17.626 dB, 9.671 dBi,&#13;
9.924 dBi, 0.2 GHz, and 97.45%, respectively. Besides, the recreation&#13;
uncovered that the transfer speed side-lobe level at phi was much better than&#13;
those of the earlier works, at -28.8 dB, respectively. Thus, it makes a solid&#13;
contender for remote innovation and more robust communication.</text>
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                <text>Md. Sohel Rana, Tahasin Ahmed Fahim, Shuvashis Biswas Rana, Russel Mahbub, Md. Mostafizur Rahman</text>
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                <text>peri irawan</text>
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