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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Simulation-based fault-tolerant multiprocessors system</text>
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                <text>Fault-tolerant&#13;
Multiprocessor&#13;
Pipelined&#13;
SimEvents&#13;
Stateflow</text>
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                <text>System reliability is an important issue in designing modern multiprocessor&#13;
systems. This paper proposes a fault-tolerant, scalable, multiprocessor&#13;
system architecture that adopts a pipeline scheme. To verify the performance&#13;
of the proposed system, the SimEvent/Stateflow tool of the MATLAB&#13;
program was used to simulate the system. The proposed system uses twelve&#13;
processors (P), connected in a linear array, to build a ten-stage system with&#13;
two backup processors (BP). However, the system can be expanded by&#13;
adding more processors to increase pipeline stages and performance, and&#13;
more backup processors to increase system reliability. The system can&#13;
automatically reorganize itself in the event of a failure of one or two&#13;
processors and execution continues without interruption. Each processor&#13;
communicates with its neighboring processors through input/output (I/O)&#13;
ports which are used as bypass links between the processors. In the event of&#13;
a processor failure, the function of the faulty processor is assigned to the&#13;
next processor that is free from faults. The fast Fourier transform (FFT)&#13;
algorithm is implemented on the simulated circuit to evaluate the&#13;
performance of the proposed system. The results showed that the system can&#13;
continue to execute even if one or two processors fail without a noticeable&#13;
decrease in performance.</text>
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                <text>Ahmad F. Al-Allaf, Ziyad Khalaf Farej</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
A novel Ethernet based processing system for remote source harmonic detection</text>
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                <text>Embedded design techniques&#13;
Ethernet&#13;
FFT&#13;
Harmonic distortion&#13;
Lightweight IP</text>
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                <text>This work is carried out to objectively establish a new method to detect&#13;
harmonics and measure the total harmonic distortion (THD) in a remote&#13;
source, such as a high voltage transformer. The proposed approach utilized&#13;
embedded design techniques to construct an embedded processor system&#13;
with Ethernet intellectual property core to acquire data from a remote&#13;
harmonics source. The designed system has several notable merits, namely,&#13;
it is portable that can be applied in the work field, and it avoids workers&#13;
from being subject to a hazard high voltage shock as well as its simplicity&#13;
and high accuracy. The harmonics detection and analysis are achieved by&#13;
inserting a microcontroller system near the high voltage transformer to&#13;
acquire the necessary data and transmit it to a remote embedded processor&#13;
system that is used to detect and analyze the harmonics. The microcontroller&#13;
and the processor systems are connected by a wide-area network (WAN)&#13;
through Ethernet and transmission control protocol/internet protocol&#13;
(TCP/IP) protocols. The processor system is accommodated to perform 128&#13;
points fast Fourier transform for harmonics detection. Matlab simulations are&#13;
used to validate the results. It is found that the results match very accurately&#13;
the simulation results with an error of less than 0.02%.</text>
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                <text>Mazin R. Khalil, Laith A. Mohammed, Omar N. Yousif</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Inverse modeling of few-mode fiber for high-speed optical communication networks</text>
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                <text>Few-mode fiber&#13;
Inverse design&#13;
Machine learning&#13;
Mode-division multiplexing&#13;
Ring-core&#13;
Weak coupling</text>
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                <text>Few-mode fibers have been used in contemporary communication with&#13;
mode multiplexing and space-division-multiplexing techniques to enhance&#13;
the capacity crunch in recent communication links. The design parameters of&#13;
the proposed fiber are predicted through machine learning-based inverse&#13;
design approach, using regression model. The proposed few-mode fibre&#13;
profile parameters are predicted with an accuracy of 99.95% to guide five to&#13;
ten modes with weak coupling among the guided modes. In second phase of&#13;
this work, the authors used a finite difference method-based solver to obtain&#13;
the modal characteristics of the proposed fibre with predicted parameters for&#13;
six guided modes, namely, LP01, LP11, LP21, LP31, LP41, and LP51.&#13;
The numerical simulation results show that the predicted profile parameter&#13;
maximizes effective mode-area and minimizes the inter-channel crosstalk for&#13;
mode division multiplexing transmission over C-band. Besides this, the&#13;
proposed ring-core few-mode fiber also exhibits nearly zero-dispersion for&#13;
LP01 mode at 1550 nm along with low dispersion for other higher-order&#13;
modes. Finally, an intensity-modulation and direct-detection mode&#13;
multiplexed transmission link without erbium-doped fiber amplifier is&#13;
established with six-spatial channels over 50 km and an attenuation of&#13;
0.18 dB/km to achieve minimum bit-error-rate of 4.45×10−9</text>
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                <text>Bhagyalaxmi Behera, Shailendra Kumar Varshney, Mihir Narayan Mohanty</text>
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                <text>Oct 26, 2022</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Enhance iris segmentation method for person recognition based on image processing techniques</text>
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                <text>Biometrics&#13;
Canny edge detection&#13;
Hough transform&#13;
Iris recognition&#13;
Iris segmentation</text>
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            <description>An account of the resource</description>
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                <text>The limitation of traditional iris recognition systems to process iris images&#13;
captured in unconstraint environments is a breakthrough. Automatic iris&#13;
recognition has to face unpredictable variations of iris images in real-world&#13;
applications. For example, the most challenging problems are related to the&#13;
severe noise effects that are inherent to these unconstrained iris recognition&#13;
systems, varying illumination, obstruction of the upper or lower eyelids, the&#13;
eyelash overlap with the iris region, specular highlights on pupils which&#13;
come from a spot of light during captured the image, and decentralization of&#13;
iris image which caused by the person’s gaze. Iris segmentation is one of the&#13;
most important processes in iris recognition. Due to the different types of&#13;
noise in the eye image, the segmentation result may be erroneous. To solve&#13;
this problem, this paper develops an efficient iris segmentation algorithm&#13;
using image processing techniques. Firstly, the outer boundary segmentation&#13;
of the iris problem is solved. Then the pupil boundary is detected. Testes are&#13;
done on the Chinese Academy of Sciences’ Institute of Automation&#13;
(CASIA) database. Experimental results indicate that the proposed algorithm&#13;
is efficient and effective in terms of iris segmentation and reduction of time&#13;
processing. The accuracy results for both datasets (CASIA-V1 and V4) are&#13;
100% and 99.16 respectively.</text>
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                <text>Israa A. Hassan, Suhad A. Ali, Hadab Khalid Obayes</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Therapeutic management of diseases based on fuzzy logi system- hypertriglyceridemia as a case study</text>
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                <text>Clinical decision&#13;
Fuzzy logic&#13;
Hypertriglyceridemia&#13;
Therapeutic management</text>
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                <text>The support systems for assisting clinical decision highly improve the&#13;
quality and efficiency of the therapeutic and diagnostic treatment in&#13;
medicine. The proper implementation of such systems can emulate the&#13;
reasoning of health care professionals in such a way that suggest reasonable&#13;
decisions on patient treatment. The fuzzy logic system can be considered as&#13;
one of the efficient techniques for converting a complex decision tree that&#13;
usually facing the physician into artificial intelligent procedure embedded in&#13;
a computer program. So many properties in fuzzy logic system that can&#13;
facilitate the process of medical diagnosis and therapeutic management.&#13;
In this paper, a system for therapeutic management of hypertriglyceridemia&#13;
was efficiently realized using a fuzzy logic technique. The obtained results&#13;
had shown that the proposed fuzzy logic contributes a reliable managing&#13;
procedure for assisting the physicians and pharmacist in treating the&#13;
hypertriglyceridemia. Many different hypertriglyceridemia treatment cases&#13;
showed a perfect matching decision between the standard guidelines and that&#13;
given by the proposed system.</text>
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                <text>Karam Mazin Zeki Othman, Nameer Mazin Zeki</text>
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                <text>peri irawan</text>
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                  <text>VOL. 21, NO. 2 2023</text>
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            <description>A name given to the resource</description>
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              <elementText elementTextId="47927">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Field-programmable gate array-based field-oriented control for permanent magnet synchronous motor drive</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
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                <text>Field programmable gate array&#13;
High power density&#13;
PMSM drives&#13;
Three phase inverters</text>
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            <description>An account of the resource</description>
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                <text>Permanent magnet synchronous motor (PMSM) is a special type of&#13;
synchronous electric motor that has many applications such as in the&#13;
manufacturing industry of robots, self-propelled mechanisms, in the medical&#13;
fiel. In this paper, the permanent magnet synchronous motor motor control&#13;
structure according to the field-oriented control (FOC) algorithm will be&#13;
implemented on the field-programmable gate array (FPGA) card. Function&#13;
blocks in FOC algorithm for example PI controller, space vector pulse width&#13;
modulation (SVPWM) algorithm will be integrated into individual itegrated&#13;
circuit (Ics) then will be connected to form an IC with the function of&#13;
implementing FOC algorithm. Furthermore, this algorithm will be used for&#13;
powertrains using gallium nitride (GaN). GaN technology provides switching&#13;
frequencies up to 100 kHz instead of the upper 2 to 20 kHz like insulated gate&#13;
bipolar transistor (IGBT) transistors. With GaN technology, it is possible to&#13;
reduce switching losses as well as increase the efficiency of the power&#13;
converter. The performance results will be verified through the typhoon&#13;
hardware in the loop (HIL) device.</text>
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                <text>Nam Duong Le, Le Quang Linh, Nguyen Tien Huy Cong, Phuong Vu, Tung Lam Nguyen</text>
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                <text>http://telkomnika.uad.ac.id</text>
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                <text>Aug 11, 2022</text>
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            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="47933">
                <text>peri irawan</text>
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              <elementText elementTextId="47935">
                <text>english</text>
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                  <text>VOL. 21, NO. 2 2023</text>
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            <description>A name given to the resource</description>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Wearable sensor network for lower limb angle estimation in robotics applications</text>
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            </elementTextContainer>
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            <description>The topic of the resource</description>
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                <text>Angle estimation&#13;
IEEE 802.11 standard&#13;
Kalman filter&#13;
Wearable systems&#13;
Wireless sensor network</text>
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                <text>In human-robot interaction, sensors are relevant in guaranteeing stability and&#13;
high performance in real-time applications. Nonetheless, accuracy and&#13;
portable sensors for robots usually have high costs and little flexibility to&#13;
process signals with free software. Therefore, we propose a wearable sensor&#13;
network to measure lower limb angular position in human-robot interaction&#13;
systems. The methodology employed to achieve the aim consisted in&#13;
implementing a wireless network using low-cost devices, verifying design&#13;
requirements, and making a validation via a proof of concept.&#13;
The requirements to design the network include low loss of information,&#13;
real-time communication, and sensor fusion to estimate the angular position&#13;
using a gyroscope and accelerometer. Hence, the sensor network developed&#13;
has a client-server architecture based on ESP8266 microcontrollers.&#13;
In addition, this network uses the standard 802.11 b/g/n to transmit angular&#13;
velocity and acceleration measures. Furthermore, we implement the user&#13;
datagram protocol (UDP) protocol to operate in real-time with a sample time&#13;
of 10 ms. Finally, we implement a proof of concept to show the system’s&#13;
effectiveness. Thus, we use the Kalman filter to estimate the angular position&#13;
of the foot, shin, thigh, and hip. Results indicate that the implemented sensor&#13;
network is suitable for real-time robotic applications.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47920">
                <text>Andres L. Jutinico, Gustavo A. R. Rodriguez, Julian Rolando Camargo Lopez</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="47921">
                <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>Oct 26, 2022</text>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="47923">
                <text>peri irawan</text>
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        <name>Kalman filter</name>
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                  <text>VOL. 21, NO. 2 2023</text>
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    <elementSetContainer>
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            <description>A name given to the resource</description>
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              <elementText elementTextId="47907">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Ensemble learning approach for multi-class classification of Alzheimer’s stages using magnetic resonance imaging</text>
              </elementText>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="47908">
                <text>Alzheimer’s disease&#13;
Convolutional neural network&#13;
Ensemble learning&#13;
Mild cognitive imapirement&#13;
non convertible&#13;
Mild conginitive imapirement&#13;
convertible&#13;
Pre-trained models</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>Alzheimer’s disease (AD) is a gradually progressing neurodegenerative&#13;
irreversible disorder. Mild cognitive impairment convertible (MCIc) is the&#13;
clinical forerunner of AD. Precise diagnosis of MCIc is essential for&#13;
effective treatments to reduce the progressing rate of the disease. The other&#13;
cognitive states included in this study are mild cognitive impairment&#13;
non-convertible (MCInc) and cognitively normal (CN). MCInc is a stage in&#13;
which aged people suffer from memory problems, but the stage will not lead&#13;
to AD. The classification between MCIc and MCInc is crucial for the early&#13;
detection of AD. In this work, an algorithm is proposed which concatenates&#13;
the output layers of Xception, InceptionV3, and MobileNet pre-trained&#13;
models. The algorithm is tested on the baseline T1-weighted structural&#13;
magnetic resonance imaging (MRI) images obtained from Alzheimer’s&#13;
disease neuroimaging initiative database. The proposed algorithm provided&#13;
multi-class classification accuracy of 85%. Also, the proposed algorithm&#13;
gave an accuracy of 85% for classifying MCIc vs MCInc, an accuracy of&#13;
94% for classifying AD vs CN, and an accuracy of 92% for classifying&#13;
MCIc vs CN. The results exhibit that the proposed algorithm outruns other&#13;
state-of-the-art methods for the multi-class classification and classification&#13;
between MCIc and MCInc.</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47910">
                <text>Ambily Francis, Immanuel Alex Pandian</text>
              </elementText>
            </elementTextContainer>
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            <description>A related resource from which the described resource is derived</description>
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                <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>Nov 26, 2022</text>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47913">
                <text>peri irawan</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47915">
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                  <text>VOL. 21, NO. 2 2023</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Design AI platform using fuzzy logic technique to diagnose kidney diseases</text>
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                <text>Artificial intelligence&#13;
Electronic-Doctor&#13;
Fuzzy logic system&#13;
Healthcare&#13;
Kidney diseases</text>
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                <text>Artificial intelligence (AI) is an advanced scientific technology that can&#13;
provide strong ability to assist in analysis and diagnosis of almost every type&#13;
of data, therefore; AI widely used in medical fields, which is applied in the&#13;
diagnosis and early detection of diseases. Kidney disease is one of the&#13;
common diseases that are diagnosed and the necessary treatments are&#13;
suggested by artificial intelligence. In this research, a logic system was used.&#13;
The fuzzy logic system (FLS) is one of the artificial intelligence systems for&#13;
diagnosing kidney diseases, where the fuzzy logic system divided into five&#13;
variable inputs, namely urea, creatinine, glucose, bun, and uric acid, and&#13;
they represented laboratory tests of the patients, this variables and also three&#13;
outputs were identified, which are chronic inflammation and kidney failure,&#13;
stones and salts, acute inflammation of the kidneys and bladder, which is the&#13;
result of the medical diagnosis of the disease. Five memberships for inputs&#13;
and three memberships for outputs are used in FLS. Diseases are concluded&#13;
based on the values of the inputs, and thus the system proved its&#13;
effectiveness and accuracy in diagnosis and this system is considered an aid&#13;
to the specialized doctors in the field of kidney diseases.</text>
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                <text>Haider M. Al-Mashhadi, Abdulhusein Latef Khudhair</text>
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          <element elementId="48">
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            <elementTextContainer>
              <elementText elementTextId="47901">
                <text>http://telkomnika.uad.ac.id</text>
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                <text>24, 2023</text>
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                <text>peri irawan</text>
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                <text>english</text>
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        <name>artificial intelligence</name>
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        <name>Electronic-Doctor</name>
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      <tag tagId="9143">
        <name>Fuzzy logic system Healthcare</name>
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      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
      </tag>
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            <element elementId="50">
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                  <text>VOL. 21, NO. 2 2023</text>
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    <elementSetContainer>
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          <element elementId="50">
            <name>Title</name>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
An optimum design of high sensitivity PMMA-coated FBG sensor for temperature measurement</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="47888">
                <text>FBG coating&#13;
FEM&#13;
Optical sensor&#13;
Sensitivity</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>Fiber Bragg grating (FBG) with silica material has limitations in measuring&#13;
mechanical quantities such as strain and temperature, this happens because&#13;
silica fibers are easy to break at higher transverse or axial strains. This&#13;
deficiency can be overcome in several ways, one of which is by coating the&#13;
silica FBG with a coating material made of metal or polymer. In this&#13;
research, the FBG sensor has been designed by poly methyl methacrylate&#13;
(PMMA)-coated FBG and silica. The finite element method (FEM) is used&#13;
to analyze the electric field distribution on the surface of PMMA coated&#13;
FBG with a coating thickness of 20 μm. Furthermore, the sensitivity of each&#13;
coated FBG as a temperature sensor was measured in the range of 25 °C to&#13;
85 °C using coupled mode theory (CMT). From the design and analysis of&#13;
coated FBG, it was found that FBG coated with PMMA material had the&#13;
highest sensitivity of 395.73pm/°C. However, the FBG sensor coated with&#13;
silica material has a sensitivity of 13.73 pm/°C. the shift obtained is also&#13;
linear along with the temperature of 25 °C to 85 °C.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47890">
                <text>Dedi Irawan, Khaikal Ramadhan, Toto Saktioto, Azwir Marwin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="47891">
                <text>http://telkomnika.uad.ac.id</text>
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          <element elementId="40">
            <name>Date</name>
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              <elementText elementTextId="47892">
                <text>Oct 26, 2022</text>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="47893">
                <text>peri irawan</text>
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            <name>Format</name>
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                <text>pdf</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47895">
                <text>english</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="47896">
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      <tag tagId="9144">
        <name>FBG coating FEM</name>
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      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
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      <tag tagId="9145">
        <name>Optical sensor Sensitivity</name>
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