2 10 25 https://repository.horizon.ac.id/files/original/b7505c59a5e1ec0706214315a199d51d.pdf bc9a50365bca2bdfe0fef88ae0291c1c 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 Integration of PSO-based advanced supervised learning techniques for classification data mining to predict heart failure Subject The topic of the resource Advanced supervised learning Classification Heart failure Optimization Particle swarm optimization Description An account of the resource Heart failure (HF) is a global health threat, requiring urgent research in its classification. This study proposes a novel approach for HF classification by integrating advanced supervised learning (ASL) and particle swarm optimization (PSO). ASL techniques like bagging and AdaBoost are employed within the PSO+ASL optimization model to enhance prediction accuracy. PSO optimizes model weights and bias, while ASL addresses overfitting or underfitting issues. Split validation and cross-validation (70:30, 80:20, 90:10 with k-fold=10) are used for further optimization. The testing phase involves 12 classifiers in five groups: decision tree models (DTM), support vector machines (SVM), Naïve Bayes classifiers models (NBCM), logistic regression models (LRM), and lazy model (LM). Evaluating the proposed approach with an HF patient dataset from https://www.kaggle.com, results are compared against the standard model, PSO optimization, and PSO+ASL. Experimental findings demonstrate the superiority of the proposed approach, achieving higher accuracy in HF prediction. The PSO+ASL optimization model with the k-nearest neighbor (k-NN) method exhibits the best classification performance. It consistently achieves the highest accuracy across all tests on dataset composition ratios, with 100% accuracy, f-measure, sensitivity, specificity values, and area under cover (AUC) of 1. The proposed approach serves as a reliable tool for early detection and prevention of HF. Creator An entity primarily responsible for making the resource Mesran1, Remuz Mb Kmurawak2, Agus Perdana Windarto3 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 Advanced supervised learning Classification Heart failure Optimization Particle swarm optimization https://repository.horizon.ac.id/files/original/1ef134bd88f9724b25be53a2ed46b6e4.pdf b3748683f1a0223b04ec7a10d3b1915e 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 Two new classes of conjugate gradient method based on logistic mapping Subject The topic of the resource Conjugate gradient method Descent condition Global convergence condition Logistic mapping Unconstrained optimization Description An account of the resource Following the standard methods proposed by Polak-Ribiere-Polyak (P-R), in this work we introduce two new non-linear conjugate gradient methods for solving unconstraint optimization problem, our new methods based on P-R. Standard method (P-R) have performance well in numerical result but does not satisfy global convergency condition. In this paper we modified double attractive and powerful parameters that have better performance and good numerical result than P-R method, also each of our robust method can satisfies the descent condition and global convergency condition by using wolf condition. More over the second method modified by logistic mapping form, the main novelty is their numerical results and demonstrate performance well with compare to a standard method. Creator An entity primarily responsible for making the resource Banaz Hamza Jahwar1, Alaa Luqman Ibrahim2, Sherzad Muhammad Ajeel1, Salah Gazi Shareef2 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 14, 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 Conjugate gradient method Descent condition Global convergence condition Logistic mapping Unconstrained optimization 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 https://repository.horizon.ac.id/files/original/362ee9559a21e6951df5f9f52c7a4d3d.pdf 6bea6341cc05f92367382ec027633595 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 Synthesis of reduced graphene oxide decotate Cu2S nanoparticles for cathode of quantum dot solar cell Subject The topic of the resource Counter electrode Graphene oxide material Reduced graphene oxide Description An account of the resource In this paper, the results of making a reduced graphene oxide cathode electrode with Cu2S nanoparticles are shown so that it can be used as a counter electrode in quantum dot solar cells to replace other counter electrodes. An rGO-Cu2S paste obtained by hydrolysis was scanned onto the surface of the fluorine-doped tin oxide (FTO) conductive substrate when bound to Cu2S nano by a screen-printing process, then calcined at 350 °C to crystallize the film. Following calcination, the film was examined for structure using energy-dispersive X-ray (EDX) and X-ray diffraction (XRD) spectroscopy, as well as for type and particle size using scanning and transmission electron microscopy and transmission electron microscopy, respectively. Mott-schottky measurement is used to determine the semiconductor and carrier concentrations in the film, and an electrochemical device is used to assess the electrodes redox capacity in a polysulfide electrolyte solution. The operability of the rGO-Cu2S cathode at the peak of the current density in the C-V curve was 24 mA/cm2, a 30-fold increase compared to that of the Cu2S electrode. This result shows that the efficiency, Voc, FF, Jsc are 4.92%, 0.525 V, 0.418, and 22.4 mA/cm2, respectively. Creator An entity primarily responsible for making the resource Le Doan Duy1, Le Thi Ngoc Tu2, Le Tien Dat3 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 Counter electrode Graphene oxide material Reduced graphene oxide 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/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/3ca38eccaf65ad838f65b6d68a68beb9.pdf 0dc5ff3733d70d17fb6ed15f16ee6a71 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 Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices Subject The topic of the resource Edge computing Vehicle counting Vehicle detection Vehicle tracking You only look once version 8 nano Description An account of the resource Recently, there has been a significant increase in the use of deep learning and low-computing edge devices for analysis of video-based systems, particularly in the field of intelligent transportation systems (ITS). One promising application of computer vision techniques in ITS is in the development of low-computing and accurate vehicle counting systems that can be used to eliminate dependence on external cloud computing resources. This paper proposes a compact, reliable and real-time vehicle counting solution which can be deployed on low-computational requirement edge computing devices. The system makes use of a custom-built vehicle detection algorithm based on the you only look once version 8 nano (YOLOv8n), combined with a deep association metric (DeepSORT) object tracking algorithm and an efficient vehicle counting method for accurate counting of vehicles in highway scenes. The system is trained to detect, track and count four distinct vehicle classeses, namely: car, motorcycle, bus, and truck. The proposed system was able to achieve an average vehicle detection mean average precision (mAP) score of 97.5%, a vehicle counting accuracy score of 96.8% and an average speed of 19.4 frames per second (FPS), all while being deployed on a compact Nvidia Jetson Nano edge-computing device. The proposed system outperforms other previously proposed tools in terms of both accuracy and speed. Creator An entity primarily responsible for making the resource Abuelgasim Saadeldin, Muhammad Mahbubur Rashid, Amir Akramin Shafie, Tahsin Fuad 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 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 Edge computing Vehicle counting Vehicle detection Vehicle tracking You only look once version 8 nano 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/2319935531710b61e42759d8bc653178.pdf 9a8f42ee54f2e12288268dd5d102b348 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 Novel fractal geometry of 4×4 multi-input and multi-output array antenna for 6G wireless systems Subject The topic of the resource 6G mimo antennas Diversity gain Isolation transmission Microstrip patch antenna mmWaves MIMO antennas Printed circuit board Radiation efficiency Description An account of the resource Recently, multiport multi-input and multi-output (MIMO) antenna technology has been the main focus of both manufacturers and researchers. So, their biggest challenge was to propose a small antenna that operates in broadband. We will be the primary contributors to the manufacturing process for this sort of antenna in this work, so we suggested a 4×4 MIMO antenna in a very compact size. As a result, the antenna dimensions are (W=16 mm, L=16 mm, H=1.6 mm) and it operates in millimeter bands ranging from 38 to 80 GHz, with a wide bandwidth of 42 GHz. This antenna was created using modern design principles, such as the Rubik’s cube form. According to the results, we noticed that the performance of the parameters is good, as the reflection coefficient is <10 dB for all frequencies. In addition, the isolation transmission performance between ports is <-26 dB, the envelope correlation coefficient (ECC) is <0.0000234 between all ports, and the diversity gain (DG) ranges between ports from 9.99 to 10 dB. Moreover, the percentage of the total antenna efficiency and radiation ranges from 70 to 98%, while the projected antenna gain range from 6.9 to 9.5 dB. With all these positive results, the suggested antenna has become one of the critical components in most contemporary wireless systems. Creator An entity primarily responsible for making the resource Karrar Shakir Muttair1,2, Oras Ahmed Shareef1, Hazeem Baqir Taher3 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 Jun 24, 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 6G mimo antennas Diversity gain Isolation transmission Microstrip patch antenna mmWaves MIMO antennas Printed circuit board Radiation efficiency https://repository.horizon.ac.id/files/original/d75ae92e7557faf4794f46ffa9761480.pdf 444587b200662effa28573c6ae9e2b32 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 Smart stick for blind people with wireless emergency notification Subject The topic of the resource Arduino Nano Gyroscope sensor Smart stick Ultrasonic sensors Wireless Description An account of the resource This effort develops and uses a smart stick to help blind individuals walk more safely and avoid hazards. This research paper involved to develop smart stick for blind people to help them to walk safely by avoiding obstructions, and at emergency conditions sent their location to person in charge like a doctor or relatives to help them accordingly. Three ultrasonic sensors are used in the proposed device’s architecture to detect obstructions at three different heights, low, mid, and high obstructions using speaker to alert the blind person. An emergency message with the location of the blind person’s phone is sent through a mobile app to the doctor or person in charge whenever the designed smart stick’s emergency button is touched, or the stick is dropped down. The Arduino Uno platform, Bluetooth model, MPU-6050 3-axis gyroscope as a position sensor, and microSd card module has been used to effectively implement the stick. At the testing stage, the device gave good results. The user received notifications in the form of voice messages and vibrations from the smart stick when it detects things or obstacles in front of them. Additionally, even though they cannot directly activate it, the automated emergency condition has been detection and activated. Creator An entity primarily responsible for making the resource Yasir Hashim1, Alaa Ghazi Abdulbaqi2 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 Oct 13, 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 Arduino Nano Gyroscope sensor Smart stick Ultrasonic sensors Wireless