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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
A new frequency reconfigurable microstrip patch antenna based on implanting tuning capacitors</text>
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                <text>Frequency reconfigurable&#13;
Implanting capacitor&#13;
Lumped element&#13;
Reconfigurable patch&#13;
Tuning</text>
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                <text>The research proposed a new electrically reconfigurable microstrip antenna via a lumped capacitor. Instead of using a varactor diode as a switching circuit which leads to a more complicated design by adding biasing circuits, our suggested antenna design has offered straightforward tuning skills. The projected design has resolved many issues such as a reduction in system complexity by eliminating the biasing circuit, limiting the use of advanced manufacturing devices through using the external circuit to implant or detach the capacitor into or from the antenna main structure, and impedance matching supported with optimum physical structure calculations. The reconfigurable antenna has been modeled and designed using computer simulation technology (CST) software, the prototype antenna has been implemented practically and tested using a spectrum analyzer. The suggested compact antenna has a size of 42×33×0.53 mm3 , and supports multi-operational frequency bands (C, X, Ku, and K) which is suitable for modern communication technologies such as Wi-Fi, 5G, and satellite communication. </text>
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                <text>Mushreq Abdulhussain Shuriji, Raad Hamdan Thaher</text>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
ALZO: an outdoor Alzheimer's patient tracking system using internet of things</text>
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                <text>Alzheimer&#13;
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Internet of things&#13;
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Wearable device</text>
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                <text>Alzheimer's patients have an abnormal brain that affects some  functionalities such as memory and motoric function. Some patients experience disorientation, such as losing their way back home, and impaired lower body motoric function, leading to stumbling. To overcome these problems, we propose a wearable device called Alzo (Alzheimer locator) for tracking Alzheimer patients during outdoor activities. Alzo can detect the patient's location and is also equipped with a fall detection algorithm. The sensor produces an accelerometer and quaternion value, which are used for calculating alpha (represents activity acceleration) and theta (represents body orientation). The location and the patient's fall condition could be monitored using a mobile-based application. The experiments were conducted by operating the Alzo system to detect the patient's location and fall condition. The results showed that Alzo worked for about 3 hours and sent location data 1-5 times if lost or fall detected. Furthermore, thresholds for the fall detection algorithm were 235 m/s2&#13;
(lower-alpha), 8,108 m/s2 (higher-alpha), and 70⸰(theta). These thresholds were determined based on the experiment which includes standing up, walking, jumping, sitting down, cycling, Logging, bowing, and squatting. From the experiment, the fall detection algorithm achieved 93.33% of accuracy. </text>
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Automatic point cloud segmentation using RANSAC and DBSCAN algorithm for indoor model</text>
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                <text>Density-based spatial clustering&#13;
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Low-cost terrestrial laser&#13;
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Machine learning&#13;
Point cloud&#13;
Random sample consensus</text>
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                <text>Indoor modeling is a crucial aspect of architecture, engineering, and construction (AEC) projects. While terrestrial laser scanners (TLS) are the most popular tool for acquiring indoor geometry, processing point clouds from TLS scans with manual methods can be inefficient and error-prone. This study proposes a machine learning algorithm to automatically segment point clouds acquired by low-cost TLS. Random sample consensus (RANSAC), a simple yet effective algorithm for segmenting planar surfaces such as walls, ceilings, and floors, is used in the segmentation process. The resulting segmentation is then refined using density-based spatial clustering of application with noise (DBSCAN) to group nearby points that were not segmented correctly by RANSAC into the appropriate segment. The result is a segmented point cloud consisting of five indoor elements: wall, ceiling, floor, column, and interior. The algorithms were found to be effective for segmenting small and simple rooms. For larger or more complex rooms, segmentation can be performed by dividing the room into several parts and applying the algorithms to each partition. Overall, the study demonstrates the&#13;
potential of machine learning algorithms for automating point cloud&#13;
segmentation tasks in indoor modeling, especially for low-cost TLS scans.</text>
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                <text>Harintaka, Calvin Wijaya</text>
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                <text>http://telkomnika.uad.ac.id</text>
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Combination time-frequency and empirical wavelet transform methods for removal of composite noise in EMG signals</text>
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                <text>CEEMDAN&#13;
Choi-Williams&#13;
Electromyography&#13;
Empirical wavelet transform&#13;
ICEEMDAN&#13;
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Smoothed pseudo Wigner-Ville</text>
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                <text>Electromyography (EMG) is a technique used to measure the electrical&#13;
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periodogram and EWT methods outperformed other previously published techniques regarding performance and accuracy. The results indicate the effectiveness of the periodogram and EWT methods in achieving this objective. </text>
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                <text>Samir Elouaham, Boujemaa Nassiri, Azzedine Dliou, Hicham Zougagh, Najib El Kamoun, Khalid El Khadiri, Sara Said</text>
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Comprehensive review of the human body communication system for wireless body area network applications</text>
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Human body communication&#13;
IEEE 802.15.6&#13;
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                <text>The body area networks (BAN) structure is one of the advancements in&#13;
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Design and simulation of high efficiency rectangular microstrip patch antenna using artificial intelligence for 6G era</text>
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                <text>Adaptive network-based fuzzy&#13;
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Antenna&#13;
Microstrip&#13;
Return loss&#13;
Sixth-generation</text>
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                <text>Sixth-generation (6G) applications require ultra-speed and large-capacity&#13;
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satisfy these requirements, especially at 28 GHz. This paper study used the&#13;
Ansys® high-frequency structure simulator (HFSS) to design and simulate&#13;
rectangular and slotted rectangular microstrip patch antennas (MSPAs) at 28&#13;
GHz. The proposed designs contained a Rogers RT/Duroid® 5,880 substrate&#13;
with a dielectric constant (εr) of 2.2 and a loss tangent of 0.0009. The&#13;
performance of both the proposed antennas was compared to determine which&#13;
was more efficient. This present study also used an adaptive network-based&#13;
fuzzy inference system (ANFIS) to determine the optimal frequency and gain.&#13;
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obtain the best design results for MSPA. The results indicated, with the use of&#13;
AI, the gain of the rectangular and slotted antennas, was 6.3943 and 6.3094&#13;
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Design zigzag edge of S shape slot antenna by using SIW technology for 5G application</text>
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                <text>5G application&#13;
Millimeter wave&#13;
Substrate integrated waveguide&#13;
technology&#13;
Zigzag slot</text>
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                <text>This study offers a 5G substrate integrated waveguide (SIW) antenna with vertical S zigzag shape slot. The suggested antenna's radiating patch depends on the shape of the slot. Two types of slots have been used, straight and zigzag S shape slot with vertical and horizontal direction, slots are etched on the patch to increase the antenna's overall bandwidth and gain. The suggested straight and zigzag SIW S slot antennas both resonate at 28 GHz, and the overall structure size is 7.10×14.93 mm. The presented design could achieve high gain, efficiency, and minimal losses, which are all important concerns. The presented antenna may produce a gain of 9.48 dB, a 95% efficiency, and a wider bandwidth of no less than 3.25 GHz at 28 GHz. </text>
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                <text>Alaa Abd Ali Hadi, Essam Hamoodi Ahmed, Baydaa Hadi Saoudi, Yaqdhan Mahmood Hussein, Tabarek Alwan Tuib</text>
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Efficient 2D NZCC/MD code for SAC-OCDMA systems based on direct spectral/spatial dimension detection and WF</text>
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                <text>1D/2D&#13;
Hybrid&#13;
Multi-diagonal&#13;
New zero cross correlation&#13;
&#13;
Spectral amplitude coding-&#13;
optical code division multiple&#13;
&#13;
access&#13;
Spectral/spatial dimension&#13;
Sater-filling</text>
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                <text>One dimensional (1D) spectral amplitude coding-optical code division&#13;
multiple access (SAC-OCDMA) systems are generally known by a strict&#13;
limitation in the number of users that can simultaneously connect. A main&#13;
solution to overcome this drawback consists of constructing a two-dimensional (2D) structure using a new hybrid spectral/spatial code through combining a one dimensional new zero cross correlation code (NZCC) to a one dimensional multi-diagonal code (1D MD) to easily provide null cross-correlation properties and totally remove the multiple access interferences. Accordingly, this research paper describes an easy and fast technique to construct a hybrid two-dimensional NZCC-MD code based on a non diagonal matrix for SAC-OCDMA systems with direct spectral/spatial dimension (SDD) detection technique and water-filling (WF) optimization. The novel code presents many advantages such&#13;
as less complex structure, acceptable code length as well as the possibility to construct it for any weight value. The proposed code demonstrates a very good performance for systems with high debit and high simultaneous user number keeps a less complex structure. </text>
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                <text>Redouane Berber, Mohammed Chetioui, Fatima Bouasria, Abdelhakim Boudkhil, Mehdi Damou, Fatima Zohra Driss Khodja</text>
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              <elementText elementTextId="49398">
                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Enhancing of coverless image steganography capacity based on image block features</text>
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          <element elementId="49">
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                <text>Block dividing&#13;
Coverless steganography&#13;
Hashing generation&#13;
Hiding capacity&#13;
Information hiding</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="49400">
                <text>The idea of coverless information hiding has seen a great deal of development since it was initially introduced due to its effectiveness in&#13;
defeating steganalysis tools. However, the capacity for general coverless&#13;
information hiding methods to conceal information is limited, as well as no previous methods worked at the other requirements such as robustness. In this paper, a coverless image steganography (CIS) method for increasing capacity is proposed while retaining the robustness. The proposed method consists of several steps. Firstly, the secret data is segmented into segments of the n length. Secondly, a suitable image that has features similar to the secret message is selected and divided into non-overlapping blocks. Thirdly, these blocks are transformed into the frequency domain by applying discreet wavelet transform (DWT). Fourthly, building a hash sequence table using a suggested hashing algorithm. Fifthly, to reduce search time an indexing table is built based on the generated hash sequence. Sixthly, match each segment with the generated hash sequences and save the auxiliary information for each matched segment in the image in a file. Lastly, send the stego image and the auxiliary information file to the receiver. The experimental results&#13;
show that the CIS method produces high capacity compared with revious&#13;
CIS methods. </text>
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                <text>Hadeel Talib Mangi, Suhad A. Ali, Majid Jabbar Jawad</text>
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                <text>http://telkomnika.uad.ac.id</text>
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        <name>Block dividing</name>
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      <tag tagId="9822">
        <name>Coverless steganography</name>
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        <name>Hashing generation Hiding capacity</name>
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      <tag tagId="9823">
        <name>Information hiding</name>
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        <name>Jurnal Nasional Informatika</name>
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                <text>TELKOMNIKA Telecommunication Computing Electronics and Control&#13;
Evolutionary programming approach for securing medical images using genetic algorithm and standard deviation</text>
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                <text>Data hiding&#13;
Genetic algorithm&#13;
Information security&#13;
Mean square error&#13;
Medical image&#13;
Peak signal to noise ratio&#13;
Standard deviation</text>
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                <text>The integrity and security of medical data have become a big challenge for healthcare services applications. Images of hidden text represent&#13;
steganography forms in which the image is exploited as an object to cover&#13;
information and data. So, the data masking ability and image quality of the cover object are significant elements in image masking. In this study, the patient’s personal information and message generated by the doctor’s comment are stored in the images. Image pixels and message bits are exchanged sequentially. The best cluster is randomly selected using the genetic algorithm (GA) and standard deviation (STD) methods. The method, depending on optimizing and taking benefits of the similarities between pixels, has been proposed. High image quality can be achieved by using stego-image and increasing the data amount to be hidden. Analysis metrics of visual quality such as peak signal to noise ratio (PSNR), mean square error (MSE), structural similarity index measure (SSIM) and bit error rate (BER) are adopted to assess the performance of the method proposed. The suggested and proposed model has proven its capability to mask the secrete data of patients into a cover image transmitted with high ability, imperceptibility, and minimal future degradation. </text>
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                <text>Shihab A. Shawkat, Najiba Tagougui, Monji Kherallah</text>
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                <text>http://telkomnika.uad.ac.id</text>
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        <name>Data hiding</name>
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