1 10 25 https://repository.horizon.ac.id/files/original/e11d5a59f4a70c15343d6b9c2bef60e1.pdf 5d84ee2ee5029ba2d15bcf0187ef2384 Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource A compact multiband antenna based on metamaterial for L-band, WiMax, C-band, X-band, and Ku-band applications Subject The topic of the resource Antenna Metamaterial Multiband Split ring resonator Unit cell Description An account of the resource A novel multiband metamaterial (MTM) unit cell antenna loaded with split ring resonator (SRR) slots that resonates at seven bands, which are (1.91 GHz), (3.6 GHz), (6.25 GHz), and (8.69 GHz, 9.69 GHz, 10.70 GHz), and 12.33 GHz of the spectrum, making it suitable for L-band, worldwide interoperability for microwave access (WiMax), C-band, X-band downlink, and Ku-band applications, respectively, is proposed and discussed in this work. The proposed antenna has a very compact size of 14×15×1.6 mm3 with an FR4 substrate. The simulation results show that the presented antenna attains a reflection coefficient of less than -10 dB (S11 -10 dB) and a radiation pattern across all operating bands. In addition, the suggested antenna provides good gains over the resonant frequency signals with an average of 6.75 db. The antenna simulations and parametric studies have been done using both computer simulation technology microwave studio (CST microwave studio) and high frequency structure simulator (HFSS) to confirm the obtained simulation results. Creator An entity primarily responsible for making the resource Youssef Frist1, Mourad Elhabchi2, Mohamed Nabil Srifi1 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 15, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Antenna Metamaterial Multiband Split ring resonator Unit cell https://repository.horizon.ac.id/files/original/1d548a0063904804ef9c6e7342e4f0a2.pdf 9e3d5176d36fcc98d0780041f80ca8e9 Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource A new printed multiband fractal triangular antenna for wireless application Subject The topic of the resource Fractal High-frequency structure simulator Multiband antenna Slit antenna Triangle shaped resonator Wireless application Description An account of the resource This letter investigates the properties of a novel multi-band fractal antenna with a triangular geometry that can expand its bandwidth, provide multiband functionality, and enable the best smart antenna technology. The antenna employs an FR4 as support with dimensions of 75×75 mm2 and a thickness of 1.6 mm. A microstrip line with an impedance of 50 ohms feeds the patch. The high-frequency structure simulator (HFSS) is applied to develop and simulate the patch. The vector network analyzer AVR ROHDE and SCHWARZ ZVB20 carried out the experimental tests of the prototype antenna. The suggested antenna’s simulation results show that it runs on five main frequency bands: 1.840 GHz, 2.770 GHz, 2.940 GHz, 4.330 GHz, and 5.790 GHz, with a high gain that can exceed 6.01dB and an efficiency of 82%. In the operational bands, the voltage standing wave ratio (VSWR) is between one and two. The results from the simulation and the experiment are extremely similar. Creator An entity primarily responsible for making the resource Mohamed Marzouk1, Youssef Rhazi1, Ibrahim Hassan Nejdi2, Mohamed Saih1 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 15, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Fractal High-frequency structure simulator Multiband antenna Slit antenna Triangle shaped resonator Wireless application https://repository.horizon.ac.id/files/original/4af6894e5cf24a987b43a83b8bc8d22e.pdf 5b7eb7f493f4735f8108e193e5e05f6f Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource Analysis of PLS enhancement using permutation index based OFDM-DCSK system over multipath Rayleigh fading channel Subject The topic of the resource Multipath Rayleigh fading channel Orthogonal frequency division multiplexing-differential chaos shift keying Permutation index Physical layer security Secrecy analysis Description An account of the resource This paper presented the performance of physical layer security of permutation index (PI) with modulating bits-based orthogonal frequency division multiplexing differential chaos shift keying system (PIM-OFDM-DCSK), the objective behind PIM-OFDM-DCSK is to improve and increase the information rate, spectral, and energy efficiencies. In PIM-OFDM-DCSK, the (M) subcarriers, each carry (n+1) bits. The n bits are index bits utilized to choose one permutation of the chaotic reference. On the receiver, after OFDM demodulation, the correlation is made between the permuted versions of the chaotic reference and the received bearing sequence of data. Then the received bits are assessed by determining the maximum correlator outputs via which the n bits are detected. Then the maximum output correlator sign is utilized to detect the modulating bit. The performance of the PIM-OFDM-DCSK is tested under additive white gaussian noise and multipath fading channel. Furthermore, the bit error rate is derived based on the wiretap system for the proposed PIM-OFDM-DCSK and compared with other DCSK modulations. The results show that the proposed PIM-OFDM-DCSK scheme is promising and competitive compared with other DCSK system, and the best BER performance is as an increase in the value of n and a decrease in the value of β. Creator An entity primarily responsible for making the resource Dhuha Hussein Hameed, Fadhil S. Hasan Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Dec 11, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Multipath Rayleigh fading channel Orthogonal frequency division multiplexing-differential chaos shift keying Permutation index Physical layer security Secrecy analysis https://repository.horizon.ac.id/files/original/942d0bf2433303e90df657403e4a5cb5.pdf 358deca40b095063de9bd081b155868f Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource Automatic detection, report, and alert of faults in 220 volts electric power distribution parts Subject The topic of the resource Cable grid Distribution transformer Electric power grid Fault detection Global system for mobile modems Global system for mobile network Description An account of the resource The electrical power distribution parts include the distribution transformer responsible for reducing high voltage (HV) 11 Kv to low voltage (LV) 416/240 volts, and the power distribution lines (PDLs), which are the source of electrical power supply for residential neighborhoods. Any malfunction of these parts, result in a power outage. Currently, any faults are reported, detected, and alert in a primitive way, and this mechanism certainly takes a lot of time and effort. In this paper, an automatic approach for detection, report and alert has been suggested. This approach process is carried out by continuously checking the status of the three output feeders (power distribution lines), which is the low voltage side of the distribution transformer, when a malfunction occurs in any one or more of these feeders, it will generate an alert signal in the form of a text message using short message service (SMS). The maintenance center is notified by receiving this SMS via SIM900 modem through the global system for mobile (GSM) communications network. The SMS text message includes feeder number, fault type and location address (street number and distribution transformer number). In this design, time and effort are shortened and the maintenance center enables fully automatic monitoring of electric power distribution parts within the sector of responsibility. Creator An entity primarily responsible for making the resource Jabbar Shatti Jahlool1, Mohammed Abdulla Abdulsada2, Majid S. Naghmash1 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Nov 15, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Cable grid Distribution transformer Electric power grid Fault detection Global system for mobile modems Global system for mobile network https://repository.horizon.ac.id/files/original/783ed9d36014ccfa1eb8f5096145938b.pdf 4c2307afa66e5aad5ff4629e73769073 Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource BER-performance evaluation for 5G-PD-NOMA system in multipath communication channels Subject The topic of the resource 5G Bit error rate Non-orthogonal multiple access Power domain non-orthogonal multiple access Successive-interference-cancelation Description An account of the resource In this paper, a bit error rate (BER) performance is evaluated for power domain non-orthogonal multiple access (PD-NOMA) system. The performance test is examined considering; additive white gaussian noise (AWGN), flat and long-term evolution (LTE)-multipath selective channels such as; pedestrian channel model (EPA), vehicular channel model (EVA), and typical urban model (ETU). The proposed system considering two user equipment’s (UE1 and UE2) with a single base station (BS) for downlink channel. Two different powers were allocated to each user according to their positions from the BS. The superposition coding process is performed with successive-interference-cancelation (SIC) at both transmitter/receiver sides respectively to distinguish the desired received signal. The performance evaluations proves that the degree of power allocated to each user plays a significant rule in frequency selection environments. UE1 has a better BER performance than UE 2 by about 9 dB in EPA, 6 dB in EVA, and 7 dB in ETU environments respectively at a BER of 10-3. However, in flat fading environment, the distance for each user represents a significant factor affecting the BER performance, where, UE 2 has a better BER performance than UE 1 by about 10 dB at a BER of 10-3. Creator An entity primarily responsible for making the resource Maryam K. Abboud1, Yasameen Fawzi Azeez2, Reem J. Abbass1 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Apr 30, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text 5G Bit error rate Non-orthogonal multiple access Power domain non-orthogonal multiple access Successive-interference-cancelation https://repository.horizon.ac.id/files/original/5185f3ad1dcbdbc3fec71a5f4c68e04a.pdf 023d409e58223bb1795e3c75e26addec Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource Classification of melanoma skin cancer using deep learning approach Subject The topic of the resource Convolution neural network Deep learning Melanoma Skin cancer Description An account of the resource In this study, the authors propose a deep learning (DL) approach for classifying melanoma skin cancer (MSC). They introduce a convolution neural network (CNN) model that consists of 27 layers, which are carefully designed to extract features from skin lesion images and classify them into melanoma and non-melanoma classes. The proposed CNN model comprises multiple convolution layers that apply filters to the input image to extract features such as edges, shapes, and patterns. Batch normalization layers that normalize the output of the convolution layers to accelerate the learning process and prevent overfitting follow these convolution layers. The performance of the proposed CNN model was evaluated on publicly available datasets of skin lesion images, and the findings showed that it outperformed several state-of-the-art methods for melanoma classification. The authors also conducted ablation studies to analyze each layer’s contribution to the model’s overall performance. The proposed DL approach has the potential to assist dermatologists in the early detection of MSC, which can lead to treatment that is more effective and improves patient outcomes. It also demonstrates the effectiveness of DL techniques for medical image analysis and highlights the importance of carefully designing and optimizing CNN models for high performance. The accuracy of the proposed system is 99.99%. Creator An entity primarily responsible for making the resource Maha Ali Hussein1, Abbas H. Hassin Alasadi1,2 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Sep 17, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Convolution neural network Deep learning Melanoma Skin cancer https://repository.horizon.ac.id/files/original/b1bd26e9fce2adb100643f307c1a1318.pdf a04c2e1c3b2c4fd013881786ab5323d3 Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource Classification of Solo Batik patterns using deep learning convolutional neural networks algorithm Subject The topic of the resource Accuracy Batik Solo motif Convolutional neural networks Dropout Image processing Description An account of the resource The ideology of the Solo Batik pattern has not been conveyed to the public. In addition, a lot of people are unaware that batik contains particular patterns that are also used for particular activities. This study uses a convolutional neural network model to categorize 9 different Solo Batik patterns according to their use of elaborate geometric shapes, complicated symbols, patterns, dots, and natural designs. With 1 to 4 hidden layers, we aim to select the number of hidden layers that yields the highest accuracy. A 100×100 pixel image is used as the input. The feature extraction process then makes use of 3×3 feature maps from three convolution layers. The dropout regularization is then added, with settings ranging from 0.1 to 0.9. The Adam algorithm is also used in this model to perform optimization. The 3-layered convolutional neural networks (CNN) with a dropout value of 0.2, run in 20 epochs, produced accuracy results of 97.77%, which was the highest. Additionally, it can be inferred that applying a certain number of hidden layers and adding right dropout regularization values has an impact on raising the accuracy score. Creator An entity primarily responsible for making the resource Dimas Aryo Anggoro1, Assyati Amadjida Tamimi Marzuki1, Wiwit Supriyanti2 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 15, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Accuracy Batik Solo motif Convolutional neural networks Dropout Image processing https://repository.horizon.ac.id/files/original/062f9ba01fe613b646019c0a855c0675.pdf b8de2a5b0afa2ab468e18c0be51e4581 Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource Deep learning based phishing website detection Subject The topic of the resource Deep learning Detection online security Long short-term memory Gated recurrent unit Phishing website Description An account of the resource Phishing attacks use fraudulent websites that trick people into disclosing sensitive information. More effective and precise methods are required to identify phishing websites so that people and organisations can be protected from the damaging effects of these online threats. The aim of this work is to develop a model that can identify phishing uniform resource locator (URLs) more accurately than current approaches while requiring less training time, testing time, and storage space. This research work proposes a novel method for identifying phishing websites using a long short-term memory (LSTM) gated recurrent unit (GRU) algorithm to detect phishing URLs. The accuracy of the suggested method is 98.89%, which is significantly better than the findings of earlier studies. The model also showed a need for shorter training and testing time, and a reduced amount of storage space. Creator An entity primarily responsible for making the resource N. Subhashini, Amogh Banerjee, Abhi Kumar, S. Muthulakshmi, S. Revathi Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 30, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Deep learning Detection online security Long short-term memory Gated recurrent unit Phishing website https://repository.horizon.ac.id/files/original/4c33cf1be02d5effda41155916cc1ffa.pdf a857750f987cf803c8cdb35d8b2355d8 Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource Design of defective ground plane modified microstrip patch antenna for ultra-wideband applications Subject The topic of the resource Computer simulation technology (2020) Defective ground Microstrip patch antenna Modified microstrip patch Ultra wideband antenna Description An account of the resource This study proposes a modified ultra-wideband (UWB) patch antenna with defective ground plane layout on FR-4 substrate material has dielectric constant ℇr equals to 4.3. An altered feed line has been employed to considerably enhance the antennas performance. Starting from 4 GHz to 13 GHz, upper, and lower frequency ranges can produce UWB antenna capabilities. The proposed antenna has a good bandwidth, making it practical to use in a variety of applications. Over the operational band, the reflection coefficient is decreased to less than -10 dB. The finite integral approach of fit is used to construct and analyze the antenna utilizing the computer simulation technology CST package simulator. In this study, an UWB antenna is demonstrated that may offer notches in the lower UWB band (3.1-4 GHz). The performance of the antenna has been enhanced by using the flawed ground structure. The return losses and radiation characterstic confirm that the intended notched frequency has been suppressed. The proposed antenna was designed and simulated using computer simulation technology (CST 2020). Creator An entity primarily responsible for making the resource Rasha H. Mahdi1, Ahlam Alsudani2, Mariam Qutaiba Abdalrazak3, Hussein A. Abdulnabi4 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Nov 11, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Computer simulation technology (2020) Defective ground Microstrip patch antenna Modified microstrip patch Ultra wideband antenna https://repository.horizon.ac.id/files/original/6e78f78b2afbfb113d11613db71777d7.pdf f2cd357271e9652c8f81dbc472f580bd Dublin Core 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/. Title A name given to the resource VOL. 22, NO.1 2024 Dublin Core 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/. Title A name given to the resource Fall incidence prediction system for elderly people based on IoT and classification techniques Subject The topic of the resource E-health monitoring Internet of things Machine learning Prediction model ThingsSpeak Description An account of the resource Health monitoring systems based on the internet of things (IoT) improve patient well-being and reduce mortality risks. Machine learning techniques are most helpful in early fall prediction and detection. In this paper, fall prediction analysis and decision-making are done with existing benchmark clinical records. Classification techniques are incorporated to track the consistency and precision of data acquired by the IoT-based remote health monitoring for elderly people, especially those who are living alone. This work undertakes two approaches to early predicting a patient’s acute illness. The first approach has analyzed the existing benchmark patient activity data with different features. This approach builds the classification model for fall incidence with the help of machine learning models. In second approach, we collect real-time sensor data such as blood pressure and heart rate from IoT sensor gadgets which are transmitted to the prediction model for early prediction. Experimental results prove that the random forest (RF) classifiers and XGBoost provides the maximum accuracy. Creator An entity primarily responsible for making the resource Narayanan Essakipillai, Jayashree Ramakrishnan Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Jul 30, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text E-health monitoring Internet of things Machine learning Prediction model ThingsSpeak