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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
BBO tuned PI controller for the stability of TCP networks</text>
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                <text>AQM&#13;
BBO algorithm&#13;
Congestion&#13;
PI Controller&#13;
TCP networks</text>
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                <text>The congestion is the most important issue that effects on the performance&#13;
of data transition over internet networks. One of the important techniques&#13;
developed is active queue management (AQM) that prepares an efficient&#13;
congestion control by reducing losing packets, queue size, and energy&#13;
consumption. Therefore, AQM technique deemed as a base of many&#13;
congestion control algorithms schemes. This work suggested the using of&#13;
proportional integral (PI) controller as an AQM and then use an optimized&#13;
control system such as biogeography-based optimization (BBO) with PI&#13;
controller as (BBO-PI). The optimal control (BBO-PI) is characterized by&#13;
access to design and fine-tuning of defining the shapes of the optimal&#13;
parameters of PI controller. The BBO algorithm was implemented by using&#13;
the mathematical system model by M-file/Matlab and Simulink.&#13;
The simulation results showed the best performance for the transmission&#13;
control protocol (TCP) network when compared the system with using the PI&#13;
controller and using optimal control (BBO-PI), the ratio of enhancing the&#13;
system with using of BBO-PI better than using a PI controller only in terms&#13;
of rising time is 1.11, settling time is 2.85 and overshooting is 85%.&#13;
Therefore, the proposed method was very fast and required few iterations.</text>
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                <text>Manal Hadi Jaber, Manal Kadhim Oudah, Mohammed Qasim Sulttan, Salam Waley Shneen</text>
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                <text>http://telkomnika.uad.ac.id</text>
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                <text>peri irawan</text>
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        <name>AQM BBO algorithm</name>
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        <name>Congestion</name>
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        <name>Jurnal Nasional Informatika</name>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Design and manufacturing of iris waveguide filters for satellite communication</text>
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                <text>Bandwide&#13;
Filter&#13;
Insertion loss&#13;
Rectangular waveguide iris</text>
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                <text>We propose in this paper, two bandpass filters in waveguide technology having&#13;
rectangular symmetrical discontinuities with a half-radius r, designed and&#13;
operating respectively in the X-Band (9−11.5) GHz and C-Band (3.5−5.5) GHz.&#13;
These filters consists of eight irises placed symmetrically respectively on&#13;
standard rectangular waveguides WR90 and WR229 in which resonant irises&#13;
are inserted. These irises are used to couple the sections very strongly in this&#13;
filter, which allows the bandwidth to be increased and the matching to be&#13;
controlled. The comparison between the numerical and electromagnetic&#13;
results, which we obtained for the filters, constitutes a means of validation of&#13;
computer simulation technology (CST) environment and Mician for the&#13;
design of the other circuit elements in the various frequency bands. We&#13;
observed excellent consistency between the simulation curves and those of&#13;
the measurements. The results obtained are promising and pave</text>
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                <text>Hicham Setti, Asmae Mimouni, Abdelwahed Tribak</text>
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                <text>http://telkomnika.uad.ac.id</text>
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                <text>Oct 26, 2022</text>
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                <text>peri irawan</text>
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        <name>Bandwide Filter</name>
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                  <text>VOL. 21, NO. 2 2023</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Aircraft pitch control design using LQG controller based on genetic algorithm</text>
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          <element elementId="49">
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                <text>Aircraft&#13;
Autopilot&#13;
Genetic algorithm&#13;
Longitudinal plane&#13;
LQG controller&#13;
Pitch control</text>
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            <description>An account of the resource</description>
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                <text>Designing a robust aircraft control system used to achieve a good tracking&#13;
performance and stable dynamic behavior against working disturbances&#13;
problem has attracted attention of control engineers. In this paper, a pitch&#13;
angle control system for aircraft is designed utilizing liner quadratic&#13;
Gaussian (LQG) optimal controller technique with a numerical tuning&#13;
algorithm method in the longitudinal plane through cruising stage. Main&#13;
design approach of LQG controller includes obtaining best weighting&#13;
matrices values using trial and error method that consumes effort and takes&#13;
more time, in addition, there is no guarantees to obtain optimum values for&#13;
weighting matrices elements. In this research, genetic algorithm (GA) is&#13;
used to optimize the state and control weighting matrices and determine best&#13;
values for their elements. The proposed traditional and optimized LQG pitch&#13;
controller schemes are implemented utilizing Matlab simulation tool and&#13;
their performance are presented and compared based on transient and steady&#13;
state performance parameters. The simulation results reveal the ability of the&#13;
optimized GA_LQG controller to reject the effect of the noises in the aircraft&#13;
system dynamic and achieve a good and stable tracking performance&#13;
compared with that of the conventional LQG pitch control system.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Abdulla I. Abdulla, Ibrahim K. Mohammed</text>
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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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                <text>Oct 26, 2022</text>
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                <text>peri irawan</text>
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        <name>Aircraft Autopilot</name>
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        <name>Genetic algorithm Longitudinal plane</name>
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      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
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        <name>LQG controller Pitch control</name>
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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;
Optimised coordinate generation for Arduino-based focus and motion control system for deployment in time-lapse photography </text>
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            <description>The topic of the resource</description>
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                <text>Acceleration&#13;
Cinema&#13;
Motion control&#13;
Photography&#13;
Time-lapse</text>
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            <description>An account of the resource</description>
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                <text>This paper demonstrated the design and implementation of a unique algorithm&#13;
used to generate interim coordinates for focus transitions in time-lapse&#13;
photography. Through a prototype design methodology, the unique algorithm&#13;
was developed to function within the limitations imposed by a low-cost 8-bit&#13;
microcontroller for the development of a cost-effective focus and motion&#13;
control system for deployment in photographic higher education. Through&#13;
conceptualization and virtualization in MathLab and comparison with values&#13;
generated in simulated real-world use-case, the proposed algorithm was&#13;
tested for function and efficacy in generating interim coordinates that&#13;
included focus coordinate estimation to facilitate smooth non-linear motion&#13;
with focus transitions during image sequence capture. The 8-bit Arduino&#13;
Mega 2560 proved capable of completing calculations required by the developed&#13;
algorithm and generated coordinate data sets identical to sets generated in&#13;
simulation. The generated coordinated illustrated effective user-defined control&#13;
over motion and the smoothness of focus transitions. The developed algorithm&#13;
is thus capable of facilitating the required movement and focus transition&#13;
coordinate calculation and estimation required while deployed on a low-cost&#13;
8-bit microcontroller and is well suited for deployments in time-lapse&#13;
capture applications.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Johannes Jacobus Myburgh, Nicolaas Johannes Luwes</text>
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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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                <text>Nov 12, 2022</text>
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              <elementText elementTextId="47873">
                <text>peri irawan</text>
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        <name>Acceleration Cinema</name>
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      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
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        <name>Motion control</name>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Hybrid models for computing fault tolerance of IoT networks</text>
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                <text>Complex structures&#13;
Fault tolerance&#13;
IoT networks&#13;
Networking topology</text>
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                <text>Many Internet of Things (IoT) - based networks are being built to develop&#13;
applications spanning multiple domains. Many small to large devices&#13;
connected in various ways increases the risk of IoT networks failing. Small&#13;
devices in the devices layer frequently fail due to their small size and high&#13;
usage. Intermittent failures of the IoT networks lead to catastrophes at times.&#13;
The IoT systems must be designed to be fault-tolerant. Fault tolerance of IoT&#13;
networks must be computable so that the same can be considered while&#13;
designing IoT networks. However, the computation of fault tolerance of IoT&#13;
networks is complex, especially when heterogeneous structures are used for&#13;
building a specific IoT network. Fault tree-based models are not suitable for&#13;
computing fault-tolerance of complex models, which requires probability&#13;
assessment. Hybrid fault tolerance computing models have been presented in&#13;
this paper that consider both linear and probabilistic methods of computing&#13;
the fault tolerance considering many complex networking topologies used in&#13;
each layer of IoT networks. The fault-tolerance computing models are&#13;
formal methods that can be used to compute the fault tolerance of any IoT&#13;
network built with any internal processing. The accuracy of fault tolerance&#13;
computing is 12.9% higher than other methods.</text>
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                <text>Bhupati Chokara, Sastry Kodanda Rama Jammalamadaka</text>
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                <text>peri irawan</text>
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        <name>Jurnal Nasional Informatika</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="47887">
                <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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            <name>Subject</name>
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                <text>FBG coating&#13;
FEM&#13;
Optical sensor&#13;
Sensitivity</text>
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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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                <text>Dedi Irawan, Khaikal Ramadhan, Toto Saktioto, Azwir Marwin</text>
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                <text>http://telkomnika.uad.ac.id</text>
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            <name>Date</name>
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                <text>Oct 26, 2022</text>
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              <elementText elementTextId="47893">
                <text>peri irawan</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47895">
                <text>english</text>
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      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
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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="47897">
                <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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            <description>An account of the resource</description>
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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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            <description>An entity primarily responsible for making the resource</description>
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                <text>Haider M. Al-Mashhadi, Abdulhusein Latef Khudhair</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="47901">
                <text>http://telkomnika.uad.ac.id</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>24, 2023</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="47903">
                <text>peri irawan</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47905">
                <text>english</text>
              </elementText>
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            <description>The nature or genre of the resource</description>
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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="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>
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            <description>The topic of the resource</description>
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                <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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            <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>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="47911">
                <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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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47915">
                <text>english</text>
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      <tag tagId="9137">
        <name>Ensemble learning</name>
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        <name>Jurnal Nasional Informatika</name>
      </tag>
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                  <text>VOL. 21, NO. 2 2023</text>
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    <elementSetContainer>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="47917">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Wearable sensor network for lower limb angle estimation in robotics applications</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47918">
                <text>Angle estimation&#13;
IEEE 802.11 standard&#13;
Kalman filter&#13;
Wearable systems&#13;
Wireless sensor network</text>
              </elementText>
            </elementTextContainer>
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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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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Andres L. Jutinico, Gustavo A. R. Rodriguez, Julian Rolando Camargo Lopez</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="47921">
                <text>http://telkomnika.uad.ac.id</text>
              </elementText>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47922">
                <text>Oct 26, 2022</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47923">
                <text>peri irawan</text>
              </elementText>
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            <elementTextContainer>
              <elementText elementTextId="47925">
                <text>english</text>
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    <tagContainer>
      <tag tagId="9133">
        <name>Angle estimation</name>
      </tag>
      <tag tagId="9134">
        <name>IEEE 802.11 standard</name>
      </tag>
      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
      </tag>
      <tag tagId="4019">
        <name>Kalman filter</name>
      </tag>
      <tag tagId="9135">
        <name>Wearable systems Wireless sensor network</name>
      </tag>
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            <element elementId="50">
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                <elementText elementTextId="47836">
                  <text>VOL. 21, NO. 2 2023</text>
                </elementText>
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    <elementSetContainer>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <name>Title</name>
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            <elementTextContainer>
              <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>
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          <element elementId="49">
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              <elementText elementTextId="47928">
                <text>Field programmable gate array&#13;
High power density&#13;
PMSM drives&#13;
Three phase inverters</text>
              </elementText>
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          <element elementId="41">
            <name>Description</name>
            <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>
              </elementText>
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          <element elementId="39">
            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="47930">
                <text>Nam Duong Le, Le Quang Linh, Nguyen Tien Huy Cong, Phuong Vu, Tung Lam Nguyen</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="47931">
                <text>http://telkomnika.uad.ac.id</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47932">
                <text>Aug 11, 2022</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47933">
                <text>peri irawan</text>
              </elementText>
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          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47934">
                <text>pdf</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47935">
                <text>english</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <elementTextContainer>
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      <tag tagId="7329">
        <name>Field programmable gate array</name>
      </tag>
      <tag tagId="9130">
        <name>High power density</name>
      </tag>
      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
      </tag>
      <tag tagId="9131">
        <name>PMSM drives</name>
      </tag>
      <tag tagId="9132">
        <name>Three phase inverters</name>
      </tag>
    </tagContainer>
  </item>
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