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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
A generalized Dai-Liao type CG-method with a new monotone line search for unconstrained optimization</text>
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                <text>Dai-Liao CG-method&#13;
Global convergence property&#13;
Large-scale&#13;
Monotone line search&#13;
Optimum point</text>
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                <text>In this paper, we presented two developments, the first deals with&#13;
generalizing the modernization of the damped Dai-Liao formula in an&#13;
optimized manner. The second development is by suggesting a monotone&#13;
line search formula for our new algorithms. These new algorithms with the&#13;
new monotone line search yielded good numerical results when compared to&#13;
the standard Dai-Liao (DL) and minimum description length (MDL)&#13;
algorithms. Through several theorems, the new algorithms proved to have a&#13;
faster convergence to reach the optimum point. These comparisons are&#13;
drawn in the results section for the tools (Iter, Eval-F, Time) which are a&#13;
comprehensive measure of the efficiency of the new algorithms with the&#13;
basic algorithms that we used in the paper.</text>
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A new miniaturized wideband self-isolated two-port MIMO antenna for 5G millimeter-wave applications</text>
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                <text>5G&#13;
Antenna&#13;
Channel capacity loss&#13;
Envelope correlation coefficient&#13;
Millimeter-wave&#13;
MIMO</text>
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                <text>Nowadays, millimeter-wave frequencies present a catchy solution to&#13;
securing the colossal data rate needed for 5G communications. Accordingly,&#13;
this research deals with the conception of a novel orthogonal 2×2 multiple&#13;
input, multiple output (MIMO) antenna design operating in the millimeter&#13;
wave spectrum with quite small dimensions of 11×6×0.8 mm3&#13;
. The single&#13;
antenna element consists of a trapezoidal microstrip patch antenna built on&#13;
the Rogers RT5880 laminate with a permittivity of 2.2 and tangent loss of&#13;
0.0009. A trapezoidal-slot ground plane is used to support the structure.&#13;
The antenna resonates at 28 GHz with a large bandwidth of 4 GHz from 26&#13;
to 30 GHz, a good gain of up to 5 dB, and a high radiation efficiency of&#13;
99%. A strong isolation is achieved that surpasses 26 dB. Besides, a high&#13;
diversity performance is achieved where the envelope correlation coefficient&#13;
(ECC) is lower than 0.001, the diversity gain (DG) is greater than 10 dB, and&#13;
the channel capacity loss (CCL) is no longer than 0.4 bit/s/Hz. The achieved&#13;
outcomes prove the robustness of the suggested MIMO antenna and qualify&#13;
it to be a strong candidate for 5G wireless devices.</text>
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                <text>Asma Khabba, Jamal Amadid, Layla Wakrim, Zakaria El Ouadi, Saida Ibnyaich, Ahmed Jamal Abdullah Al-Gburi, Abdelouhab Zeroual, Tole Sutikno</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
A real-time hypertext transfer protocol intrusion detection system on web server</text>
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                <text>Cyber attack&#13;
HTTP IDS&#13;
Intrusion&#13;
OWASP ZAP&#13;
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                <text>Behind the rapid development of the internet in today’s era, various types of&#13;
crime are also targeting vital players in the internet industry. With many&#13;
online crime types rampant, an antidote is also needed to suppress internet&#13;
crime. Therefore, the researcher proposes a solution in the form of a Keris,&#13;
namely the hypertext transfer protocol (HTTP) intrusion detection system&#13;
(IDS) that runs on the server where our website is running. Keris works by&#13;
detecting rampant intrusions that attack servers or websites. When an&#13;
intrusion is detected, Keris will notify the system admin using the Keris&#13;
Telegram chatbot or an alternative Keris mobile application with firebase&#13;
cloud messaging (FCM) technology. The research was conducted by&#13;
comparing the results of one-way delay (OWD) between Telegram&#13;
Webhook and FCM with the help of the open web application security&#13;
project (OWASP) zed attack proxy (ZAP) test tool. From the results of the&#13;
tests, OWD against directory brute force attacks on Telegram Webhook for&#13;
0.72 seconds and on FCM for 0.44 seconds. In this case, FCM is more&#13;
suitable for real-time notifications if we need a very responsive notification.</text>
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                <text>Agus Tedyyana, Osman Ghazali, Onno W. Purbo</text>
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                <text>http://telkomnika.uad.ac.id</text>
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Airflow vibration of diaphragmatic breathing: model and demonstration using optical biosensor</text>
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                <text>Airflow&#13;
Diaphragm&#13;
Fiber optic sensor&#13;
Navier-Stokes&#13;
Sinusoidal bending</text>
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                <text>Optical fiber is increasingly popular and appreciated as a modern sensor&#13;
technology in various sectors, one of which is for medical functions. This&#13;
study was conducted to detect human diaphragmatic breathing flow using&#13;
theoretical and experimental approaches. Initially, the lung model was&#13;
formed using the finite element method and the Navier-Stokes equation by&#13;
applying the principles of momentum and continuity. Furthermore, fiber&#13;
Bragg grating (FBG) and single mode fiber (SMF) were experimentally&#13;
designed with sinusoidal patterned macro-scale bending as a stretch sensor&#13;
in a breathing belt applied to the diaphragm. The simulation model shows&#13;
the airflow velocity increases up to 4 m/s when it flows into smaller&#13;
branches. While the experimental results show that the largest power loss&#13;
occurs at a buffer diameter of 0.8 cm. The power loss detected in SMF is a&#13;
maximum of -0.18 dBm during inhalation and a minimum of -0.28 dBm&#13;
during expiration. However, FBG bending is superior with high sensitivity.</text>
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                <text>Toto Saktioto, Defrianto, Nurfi Hikma, Yan Soerbakti, Syamsudhuha, Dedi Irawan, Okfalisa, Bambang Widiyatmoko, Dwi Hanto</text>
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Bragg reflector one-dimensional multi-layer structure sensor for the detection of thyroid cancer cells</text>
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                <text>Bragg’s reflector&#13;
Characteristic matrix method&#13;
Micro-cavity&#13;
Photonic crystal&#13;
Thyroid cancerous cells</text>
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            <description>An account of the resource</description>
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                <text>In the proposed work, a defect cavity multi-layer Bragg reflector structure is&#13;
proposed theoretically to find the presence of thyroid cancer cells in the&#13;
given sample. The modelling, design and analysis of the sensor is performed&#13;
using characteristic matrix method (CMM). Proposed structure has central&#13;
defect cavity with 6 pairs of low and high refractive index layers on each&#13;
side of the defect. To enhances the sensor sensitivity, the incident light in&#13;
mid-infrared frequency range is used as input light source. The refractive&#13;
index of normal and thyroid cancer cells is analysed for the performance of&#13;
the sensor. The obtained Q factor and sensitivity of the sensor design is 3729&#13;
and 2828 nm/RIU respectively. The proposed sensor is a best choice of&#13;
optical sensor for the detection of thyroid cancer cells in the given test&#13;
sample for accurate analysis in medical applications.</text>
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        <name>Jurnal Nasional Informatika</name>
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        <name>Photonic crystal</name>
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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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Decoding of the extended Golay code by the simplified&#13;
successive-cancellation list decoder adapted to multi-kernel polar codes</text>
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          <element elementId="49">
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                <text>Binary linear block code&#13;
Coding theory&#13;
Error-correcting code&#13;
Golay code&#13;
Multi-kernel polar code</text>
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            <description>An account of the resource</description>
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                <text>This paper describes an adaptation of a polar code decoding technique in&#13;
favor of the extended Golay code. Based on the bridge provided by a&#13;
permutation matrix between the code words of these two classes of codes,&#13;
the Golay code can be decoded by any polar code technique. Contrary to the&#13;
successive-cancellation list technique which is characterized by a serial&#13;
estimation of the bits, we propose in this work an adaptation of the&#13;
simplified successive-cancellation list technique to polar codes equivalent to&#13;
the Golay code. The simulations have achieved the performance of a&#13;
maximum likelihood decoding, with the low decoding complexity of polar&#13;
codes, compared to one of the universal decoders of linear codes most&#13;
known in the literature.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Driss Khebbou, Idriss Chana, Hussain Ben-Azza</text>
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              <elementText elementTextId="48268">
                <text>http://telkomnika.uad.ac.id</text>
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                <text>Nov 26, 2022</text>
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            <description>An entity responsible for making contributions to the resource</description>
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                <text>Nov 26, 2022</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="48272">
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            <description>The nature or genre of the resource</description>
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        <name>Binary linear block code</name>
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      <tag tagId="9763">
        <name>Coding theory Error-correcting code</name>
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      <tag tagId="9764">
        <name>Golay code Multi-kernel polar code</name>
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      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
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                  <text>VOL. 21, NO. 3 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="48244">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Differential equation fault location algorithm with harmonic effects in power system</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>ATPDraw&#13;
CWT&#13;
Differential equation&#13;
Signal processing&#13;
Single line ground</text>
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            <description>An account of the resource</description>
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                <text>About 80% of faults in the power system distribution are earth faults.&#13;
Studies to find effective methods to identify and locate faults in distribution&#13;
networks are still relevant, in addition to the presence of harmonic signals&#13;
that distort waves and create deviations in the power system that can cause&#13;
many problems to the protection relay. This study focuses on a single&#13;
line-to-ground (SLG) fault location algorithm in a power system distribution&#13;
network based on fundamental frequency measured using the differential&#13;
equation method. The developed algorithm considers the presence of&#13;
harmonics components in the simulation network. In this study, several&#13;
filters were tested to obtain the lowest fault location error to reduce the&#13;
effect of harmonic components on the developed fault location algorithm.&#13;
The network model is simulated using the alternate transients program&#13;
(ATP)Draw simulation program. Several fault scenarios have been&#13;
implemented during the simulation, such as fault resistance, fault distance,&#13;
and fault inception angle. The final results show that the proposed algorithm&#13;
can estimate the fault distance successfully with an acceptable fault location&#13;
error. Based on the simulation results, the differential equation continuous&#13;
wavelet technique (CWT) filter-based algorithm produced an accurate fault&#13;
location result with a mean average error (MAE) of less than 5%.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Izatti Md. Amin, Mohd Rafi Adzman, Haziah Abdul Hamid, Muhd Hafizi Idris, Melaty Amirruddin, Omar Aliman</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="48248">
                <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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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="48250">
                <text>peri irawan</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48252">
                <text>english</text>
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          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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        <name>ATPDraw CWT</name>
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      <tag tagId="9784">
        <name>Differential equation</name>
      </tag>
      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
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            <element elementId="50">
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                  <text>VOL. 21, NO. 3 2023</text>
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    <elementSetContainer>
      <elementSet elementSetId="1">
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48423">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Digital transformation for shipping container terminals using automated container code recognition</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48424">
                <text>Character isolation&#13;
Character recognition&#13;
Container codes recognition&#13;
Histogram of oriented gradients&#13;
Support vector machine</text>
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            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48425">
                <text>Due to the sweeping waves of global industry development, the number of&#13;
containers passing through terminal ports increases every day. Therefore, it&#13;
is essential to automate the identification process for the container codes to&#13;
replace the manual identification for more efficient logistics and safer&#13;
workplace. This paper aims to design and evaluate the performance of such a&#13;
system. Specifically, automated container codes recognition (ACCR) has&#13;
been implemented. This is a novel container tracking model based on image&#13;
processing algorithms and machine learning (ML) algorithms to be applied&#13;
in ports. There are three steps in this system: character detection, character&#13;
isolation, and character recognition. The first step is to identify an area with&#13;
10 digits and 26 capitals. After detecting the text area, the second step is to&#13;
separate the characters. Each character is recognized in the last step by the&#13;
classification method. In particular, features are extracted with the histogram&#13;
of oriented gradients (HOG) algorithm and support vector machines (SVMs)&#13;
for training and prediction. The trained ML model is then used to classify&#13;
characters and digits according to what it has learned. In general, the digital&#13;
technologies in logistics and container management in ports will benefit&#13;
from the proposed algorithms.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="48426">
                <text>Hoang-Sy Nguyen, Cong-Danh Huynh, Nhat-Quan Bui</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="48427">
                <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="48428">
                <text>Dec 28, 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="48429">
                <text>peri irawan</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48430">
                <text>pdf</text>
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            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48431">
                <text>english</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48432">
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    <tagContainer>
      <tag tagId="9726">
        <name>Character isolation</name>
      </tag>
      <tag tagId="7757">
        <name>Character recognition</name>
      </tag>
      <tag tagId="9727">
        <name>Container codes recognition</name>
      </tag>
      <tag tagId="9728">
        <name>Histogram of oriented gradients</name>
      </tag>
      <tag tagId="5408">
        <name>Jurnal Nasional Informatika</name>
      </tag>
      <tag tagId="6367">
        <name>Support Vector Machine</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>VOL. 21, NO. 3 2023</text>
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    <elementSetContainer>
      <elementSet elementSetId="1">
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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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48476">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Driving cycle tracking device development and analysis on route-to-work for Kuala Terengganu city</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48477">
                <text>Driving cycle&#13;
Emissions&#13;
Fuel economy&#13;
Hybrid electric vehicles&#13;
IoT&#13;
IR4.0</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
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                <text>Driving cycle is a series of speed versus time profile used to represent&#13;
driving patterns of a vehicle. research in this field guides vehicle&#13;
manufacturers and environmentalists to investigate air quality through&#13;
emissions. Study on driving cycle also aids manufacturers to manage vehicle&#13;
emissions and to save energy released through exhaust. Also, driving cycles&#13;
can provide information on road condition and driving behaviour of an&#13;
individual. For that, a proper data collection method is crucial as it is solely&#13;
based on real world driving. This research is an initiative to construct a&#13;
prototype of driving cycle tracking device (DC-TRAD) in which it was&#13;
implemented with internet-of-things (IoT) to manage big number of collected&#13;
data. U-Blox global positioning system (GPS) neo 7 M sensor was used to&#13;
increase the accuracy of data capturing and it was used on route-to-work for&#13;
Kuala Terengganu city (RTW DC for KT city) for analysis.</text>
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                <text>Arunkumar Subramaniam, Nurru Anida Ibrahim, Siti Norbakyah Jabar, Salisa Abdul Rahman</text>
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                <text>http://telkomnika.uad.ac.id</text>
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        <name>Emissions Fuel economy</name>
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        <name>Hybrid electric vehicles IoT IR4.0</name>
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        <name>Jurnal Nasional Informatika</name>
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Fast channel selection method using modified camel travelling behavior algorithm</text>
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                <text>Brain computer interface&#13;
Features extraction methods&#13;
Modified camel travelling&#13;
behavior algorithm&#13;
Motor imagery signals&#13;
Optimization</text>
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                <text>Brain computer interface (BCI) is a protocol to communicate between the&#13;
human brain and a device or application using brain signals. These signals&#13;
translated to useful commands by using features extraction and&#13;
classification. The most widely used features is the power of alpha and beta&#13;
rhythms. This type of features gives only 70% of classification accuracy&#13;
without any extra processing using fixed channels to read the signals.&#13;
Because the distribution of the power in the brain is not a standard for all&#13;
people, each one has his own brain power map. A selection algorithm is used&#13;
to find the best channels that could generate higher power than the fixed&#13;
ones. Modified camel travelling behavior algorithm is used to select the&#13;
channels that used to extract the power of alpha and beta bands of motor&#13;
imagery signals. This algorithm is faster to find the best set of channels, and&#13;
obtain classification accuracy more than 95% using support vector machine&#13;
classifier.</text>
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                <text>Zaineb M. Alhakeem, Ramzy S. Ali</text>
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                <text>peri irawan</text>
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        <name>behavior algorithm</name>
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        <name>Features extraction methods</name>
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        <name>Optimization</name>
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