1 10 27 https://repository.horizon.ac.id/files/original/a0af128b7ccac3c127ea423c8cba4b54.pdf 13577734f9adfac8eae528e1004b101a 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.2 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 and implementation of a cryptographic algorithm based on the AES advanced encryption standard for UHF RFID systems Subject The topic of the resource Advanced encryption standard Cryptographic Field-programmable gate array Radio frequency identification ultra-high-frequency Security Xilinx Description An account of the resource In this paper, a proposal is made for a cryptographic algorithm designed for passive ultra-high-frequency (UHF) radio frequency identification systems. The algorithm relies on the advanced encryption standard (AES) as its fundamental encryption technique, augmented by two supplementary steps: the initial step involves generating a random key and the second is the randomization of data, this introduces an extra level of security to encryption process against attacks. The developed architecture has been optimized to minimize hardware resource consumption with faster execution speed. The algorithm has been simulated, synthesized and implemented in an xtreme digital signal processing (DSP) starter kit equipped with xilinx’s spartan-3A DSP 1800A edition and it serves the purpose of encrypting and decrypting user data on a radio frequency identification (RFID) passive tag. The main objective is to make it difficult to break the algorithm because of its multiple steps. The experimental results showed that the speed, functionality and cost of encryption and decryption make this a perfectly practical solution, providing a satisfactory level of security for today’s communications systems, or other electronic data transfer processes where security is required. Creator An entity primarily responsible for making the resource Sanae Habibi, Zahra Sahel, Abdelhak Bendali, Abid Reda El Wardi, Samia Zarrik, Mouad El Kobbi, Nazha Cherkaoui, Abdelkader Hadjoudja 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 Mar 4, 2024 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 encryption standard Cryptographic Field-programmable gate array Radio frequency identification ultra-high-frequency Security Xilinx https://repository.horizon.ac.id/files/original/b4ed99d67403859916ebb60eb6711124.pdf b86e11afdcfede240d31606a93c1ffaf 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.2 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 grapevine leaves images using VGG-16 and VGG-19 deep learning nets Subject The topic of the resource Classification Convolutional neural network Deep learning VGG-16 VGG-19 Description An account of the resource The successful implementation of deep learning nets opens up possibilities for various applications in viticulture, including disease detection, plant health monitoring, and grapevine variety identification. With the progressive advancements in the domain of deep learning, further advancements and refinements in the models and datasets can be expected, potentially leading to even more accurate and efficient classification systems for grapevine leaves and beyond. Overall, this research provides valuable insights into the potential of deep learning for agricultural applications and paves the way for future studies in this domain. This work employs a convolutional neural network (CNN)-based architecture to perform grapevine leaf image classification by adapting VGG-16 net and VGG-19 net models and subsequently identifying the optimal performer between the two nets during the classification process. A publicly available dataset comprising 500 images categorized into 5 distinct classes (100 images per class), was utilized in this work. The obtained empirical outcomes demonstrate a remarkable accuracy rate of 99.6% for the VGG-16 net model, while VGG-19 net achieves a 100% accuracy rate. Based on these findings, it can be inferred that VGG-19 net exhibits superior performance in classifying images of grapevine leaves compared to the VGG-16 net. Creator An entity primarily responsible for making the resource Maha A. Rajab1, Firas A. Abdullatif1, Tole Sutikno2 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 Jan 26, 2024 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 Classification Convolutional neural network Deep learning VGG-16 VGG-19 https://repository.horizon.ac.id/files/original/6a1096a5d028abf287dad297eb268728.pdf f5a48abae06e3093962b79e40559e1a8 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.2 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 Transforming the voting process integrating blockchain into e-voting for enhanced transparency and security Subject The topic of the resource Blockchain E-voting Security Smart contract Transparency Description An account of the resource This study introduces a novel e-voting system utilizing blockchain technology to address the challenges inherent to traditional voting methods. Traditional systems often suffer from inaccuracies, susceptibility to manipulation, and elevated costs. Conversely, while e-voting shows potential, issues related to transparency and security have curbed its full adoption. Our research overcomes these hurdles by integrating a system developed through the Kanban methodology, with the blockchain serving as the central repository for all election data. This approach boosts transparency and security, using public-private key pairs for each transaction, and simplifying blockchain access. Organizers initiate elections and define eligible voters; this data is then securely moved to the Ethereum blockchain. Voters can effortlessly use the system, casting votes and accessing real-time, unalterable results. Various communication protocols ensure system stability, with simulated cyberattacks showcasing its security. After exhaustive testing and refinement, areas for further enhancement have been identified. This innovative system offers unmatched transparency and trust in the voting process, marking a considerable leap for trustworthy elections, especially in small to medium-sized settings. Creator An entity primarily responsible for making the resource Agus Tedyyana1,2, Osman Ghazali2, Tryo Asnafi3, Onno W. Purbo4, Nur Ziadah Harun5, Faizal Riza1 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 Jan 12, 2024 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 https://repository.horizon.ac.id/files/original/dacc2254fb14db022c961f295fe3a217.pdf 2fd840b25fd98dd790dd913c2d043b0e 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.2 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 Using decision tree classifier to detect Trojan Horse based on memory data Subject The topic of the resource Decision tree Machine learning Malware Trojan Horse Obfuscated-MalMem2022 Description An account of the resource Trojan Horse is a major threat that has grown with the spread of the digital world. Data gathered through the study of memory can provide valuable insights into the Trojan Horse’s behavior patterns. Because of this, memory analysis techniques are one of the topics that should be investigated in Trojan Horse detection. This study proposes the use of memory data in Trojan Horse detection. Trojan Horse detection used a decision tree (DT) classifier with memory data. Experiments were performed on the Trojan Horse samples from the CIC-MalMem-2022 dataset. The binary classification was made using DT, gradient boosted tree, Naive Bayes (NB), linear vector support machine, K-nearest neighbors (KNN), and machine learning (ML) classifiers. The comparison of the various classification methods was performed utilizing the accuracy, recall, precision, and F1-score metrics. As a result, the most successful Trojan Horse detection was gained with the DT classifier, which achieved accuracy of 99.96% using memory data. The NB classifier showed the lowest achievement in Trojan Horse detection using memory data, which achieved accuracy of 98.41%. In addition, numerous of the classifiers utilized have attained very high results. Based on the achieved results, the data from memory analysis is very valuable in detecting Trojan Horse. Creator An entity primarily responsible for making the resource Mosleh M. Abualhaj1, Sumaya N. Al-Khatib2 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 Jan 5, 2024 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 Decision tree Machine learning Malware Trojan Horse Obfuscated-MalMem2022 https://repository.horizon.ac.id/files/original/290c8810afc497ab40a8e2d5e373920d.pdf ca89c97f299ddecd38cec012f33b97c1 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.2 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 Chain based routing approach to improve lifespan in wireless body area networks Subject The topic of the resource Chain based routing protocol Energy consumption Fuzzy logic Network lifetime Wireless body area network Description An account of the resource One of the most significant limitations in wireless body area network (WBAN) is the requirement for low energy usage. For this reason, several routing techniques and protocols have been put out to provide an efficient means of energy saving during communication. In this work, we propose three approaches based on the formation of a chain of sensor nodes using a matrix of distances. The first approach is based on forming a single chain using the shortest distances. The second and the third consist in changing the position of the sink by forming a single cluster using the fuzzy C-means (FCM) method and the center of the latter constitutes the new position of the sink. In comparison to RE-ATTEMPT and PSOBAN, the third proposed chain-based approach has enabled a remarkable energy savings, which may have a big impact on the network’s entire lifespan. Creator An entity primarily responsible for making the resource Lamia Sidhoum, Mourad Hadjila, Rachid Merzougui Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id 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 Chain based routing protocol Energy consumption Fuzzy logic Network lifetime Wireless body area network https://repository.horizon.ac.id/files/original/d7a3142bc515091d443a6d10caff9d03.pdf b575d758c9f8638fd47c3d407b9ca27e 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.2 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 Quantum binary particle swarm optimization for optimal on-load tap changing and power loss reduction Subject The topic of the resource On-load tap changers Power loss Quantum binary particle swarm optimization Transformer Voltage drop Description An account of the resource Over time, there has been a continuous surge in the demand for electrical energy, necessitating the development of larger and more intricate electrical power networks. These extensive networks pose a significant challenge, primarily in the form of considerable loss of electrical energy, which, if not effectively addressed, may lead to persistent and imperceptible losses. In response to this challenge, this research proposes the application of quantum binary particle swarm optimization (QBPSO) for the coordinated management of on-load tap changers (OLTC) in loaded transformers within a distribution network, with a specific emphasis on reducing power losses. The experimental results demonstrate that the implementation of QBPSO results in a reduction of power loss from 21.756107 kW to 19.157321 kW and an increase in the average voltage from 19.00467941 kV to 19.93068 kV in a 20 kV 34-bus distribution network. This has the potential to significantly enhance overall system efficiency. Creator An entity primarily responsible for making the resource Aji Akbar Firdaus1, Irrine Budi Sulistiawati2, Vicky Andria Kusuma3, Dimas Fajar Uman Putra4, Hamzah Arof5, Novian Patria Uman Putra6, Sena Sukmananda Suprapto3 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 Jan 12, 2024 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 On-load tap changers Power loss Quantum binary particle swarm optimization Transformer Voltage drop https://repository.horizon.ac.id/files/original/891f74fb48ae3dcb507aa2095fc01fc4.pdf 62631062dd02667258c588948bce416b 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.2 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 Exploration of image and 3D data segmentation methods: an exhaustive survey Subject The topic of the resource 2D data 3D data Convolutional neural network Image Segmantation semantic Description An account of the resource The field of image and 3-dimensional (3D) data segmentation is growing fast and has many uses, like in medicine, and robotics. In this article, we explain how computers understand and divide images and 3D data. We compare different ways of doing this in 2D and 3D, and look at the computer methods used. We also discuss recent work and what they discovered. This article gives a broad overview of what’s happening in this area of computer science. It explains the goals of the research, how they do it, and what they’ve found out. It’s a useful guide for researchers to understand what’s happening now and what challenges they might face in the future. Creator An entity primarily responsible for making the resource Hasnae Briouya, Asmae Briouya, Ali Choukri Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Jan 12, 2024 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 2D data 3D data Convolutional neural network Image Segmantation semantic https://repository.horizon.ac.id/files/original/7be106fe4d5cf5156b3d5ae2db1923b4.pdf d1e44baf48ddd7243e63c164e18d9fe2 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.2 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 Authentication and key distribution protocol based on Diffie-Hellman algorithm and physically unclonable functions Subject The topic of the resource Authentication Cellular communication networks Diffie-Hellman Key distribution Physically unclonable function Description An account of the resource Based on the modified Diffie-Hellman (DH) protocol, a key distribution scheme between two correspondents over open communication channels is considered. The correspondents communicate through a trusted entity. An attacker can control the communication channels between the correspondents and the channels between the correspondents and the trusted authority (TA) and perform active attacks there, including a man-in-the-middle attack. DH authentication protocol using physically unclonable functions (PUF) is proposed. A formalized PUF model based on the class of universal hash functions is presented. Namely, it is proposed to use the class of strictly universal hash functions developed by Wegman and Carter. A polynomial dependence of the possible number of PPUs on the number of answers has been proven. Requirements for PPUs suitable for authentication systems are formulated. The protocol has been analyzed, and its security has been proved. Creator An entity primarily responsible for making the resource Victor A. Yakovlev1, Dina Zh. Satybaldina2, Eldor Egamberdiyev2, Yerzhan Seitkulov2 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 Jan 5, 2024 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 Authentication Cellular communication networks Diffie-Hellman Key distribution Physically unclonable function https://repository.horizon.ac.id/files/original/4e7429222d87a9eb749f239472d20f1b.pdf 533a49b4fb97c490f629aac5c02f77fd 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.2 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 Performance of piezoelectric energy harvester with various ratio substrate and micro windmill Subject The topic of the resource Deflection Energy harvester Micro windmill Piezoelectric Ratio substrate Description An account of the resource One of the mechanical energy harvesters, piezoelectric energy harvesters (PEHs), produces electricity in response to an external load, which leads to stress and strain in the cantilever beam. The study focused on performance PEH due to collisions between micro windmill blades and PEH substrate. The substrate has dimensions of 10 cm × 6 cm × 1 mm in length, width, and thickness, respectively. Experimental setup was in wind tunnel with a cross-section of 250 mm × 250 mm and blower to generated wind flow inside the tunnel. The wind speeds were set up at 6, 7, and 8 m/s, and then three ratios, namely 1:1, 1:2, and 1:3, were analyzed in output voltage and the deflection. The performance of energy harvesting in a ratio of 1:1 and wind speed of 8 m/s produces a deflection of 2.05 cm, the highest voltage of 12.67 volts, and an effective voltage of 5.62 volts. It was found that ratio 1:1 has a greater mass weight and cross-section than others, leading to more curvature in the PEH beam when the collision occurs. Besides that, the high speed of the micro windmill rotation causes collisions between the blades and PEH to become more frequent. Creator An entity primarily responsible for making the resource Adhes Gamayel, Ade Sunardi 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 Jan 5, 2024 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 Deflection Energy harvester Micro windmill Piezoelectric Ratio substrate https://repository.horizon.ac.id/files/original/3d68066a27966b216e02eb7bc7ea89fa.pdf cd0141a84bf181e7097363f600ca4b1a 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.2 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 Optimal placement of distributed generations on distribution network for reducing power loss and improving feeder balance Subject The topic of the resource Coot optimization Distributed generation Feeder balancing load Particle swarm optimization Power loss Creator An entity primarily responsible for making the resource Huu Truong Trinh, Thuan Thanh Nguyen 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 22, 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