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International Conference of Information and Communication Technology (ICoICT)

作者： Syariful Ikhwan Purwanto Purwanto Adian Fatchur Rochim Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia D3 Telecommunication Engineering Institut Teknologi Telkom Purwokerto Banyumas Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

This study focuses on network security for Internet of Things (IoT) devices, which are particularly vulnerable to attack due to limited security measures. To protect IoT networks from attackers, the research implemented intrusion detection on the networks. The study compared several Deep Learning algorithms, including DNN, CNN, LSTM, and AE, to identify the most effective algorithm for solving network security problems using intrusion detection. The research used the UNSW-NB15 dataset for testing and employed binary classification for evaluation. The results showed that the DNN algorithm achieved an accuracy value of 99.76% and a loss value of 0.006%, outperforming the other algorithms. This study highlights the importance of implementing intrusion detection in protecting IoT devices and networks and demonstrates the efficacy of the DNN algorithm in detecting and preventing network security breaches.

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Q-Learning Energy Management System (Q-EMS) in Wireless Sensor Network

Q-Learning Energy Management System (Q-EMS) in Wireless Sens...

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Smart Computing, IoT and Machine Learning (SIML), International Conference on

作者： Deden Ardiansyah Mustafid Teddy Mantoro Doctoral Program of Information Systems School of Postgraduate Universitas Diponegoro Semarang Central Java Indonesia Computer Engineering Department Vocational School Universitas Pakuan Bogor West Java Indonesia Media-Tech-Lab Computer Science Department Sampoerna University DKI Jakarta Indonesia

ISBN: (数字)9798350364101

ISBN: (纸本)9798350364118

The energy control of a Wireless Sensor Network (WSN) often leads to an unbalanced state between the battery storage system, energy extraction through photovoltaic systems energy, and energy utilization in the WSN. These disparities result in suboptimal wireless sensor network performance. The reliance on batteries is a major factor contributing to this problem. The Q-Learning Energy Management System (Q-EMS) is designed to address these challenges and improve energy management strategies. The Q-EMS algorithm used a learning process resulting in optimal actions for sensor nodes in different situations. The rewards or punishments nodes receive determine their decisions, which are determined by the Q-EMS algorithm. The Q-learning model approach is aimed at reducing energy consumption and supply in WSNs. Energy supply is categorized into battery-based, transfer-based, and harvesting, while energy consumption can be classified into task-cycle, mobility-based, and data-driven. The development of the Q Learning algorithm model has three scenarios: determining energy needs for WSN, effective energy harvesting strategy, and effective energy transfer. As a result, effective energy demand, harvesting and transfer using the Q-learning algorithm are balanced. However, it needs to be studied in more depth using real data in the field. In future research, I will use real data and optimize the use of the Q-Learning algorithm.

关键词： Wireless communication Wireless sensor networks Energy consumption Q-learning Machine learning algorithms Energy resources Classification algorithms

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Dynamical Resource Theory of Informational Nonequilibrium Preservability

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Physical Review Letters 2024年第11期132卷 110202-110202页

作者： Benjamin Stratton Chung-Yun Hsieh Paul Skrzypczyk Quantum Engineering Centre for Doctoral Training H. H. Wills Physics Laboratory and Department of Electrical and Electronic Engineering University of Bristol BS8 1FD United Kingdom H.H. Wills Physics Laboratory University of Bristol Tyndall Avenue Bristol BS8 1TL United Kingdom CIFAR Azrieli Global Scholars Program CIFAR Toronto Canada

Information is instrumental in our understanding of thermodynamics. Their interplay has been studied through completely degenerate Hamiltonians whereby the informational contributions to thermodynamic transformations can be isolated. In this setting, all states other than the maximally mixed state are considered to be in informational nonequilibrium. An important yet still open question is how to characterize the ability of quantum dynamics to preserve informational nonequilibrium. Here, the dynamical resource theory of informational nonequilibrium preservability is introduced to begin providing an answer to this question. A characterization of the allowed operations is given for qubit channels and the n-dimensional Weyl-covariant channels—a physically relevant subset of the general channels. An operational interpretation of a state discrimination game with Bell state measurements is given. Finally, an explicit link between a channel’s classical capacity and its ability to preserve informational nonequilibrium is made.

关键词： Quantum information processing Quantum information theory

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Current status of sustainability of Belawan Port toward SDG program 2

Current status of sustainability of Belawan Port toward SDG ...

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2nd International Conference on Natural Resources and Technology, ICONART 2020

作者： Sulaiman, I.A. Nasution, Z. Rauf, A. Kusuma, M.S.B. Doctoral Program Natural Resources and Environmental Management Universitas Sumatera Utara Medan Indonesia Faculty of Agriculture Universitas Sumatera Utara Medan Indonesia Faculty of Civil and Environmental Engineering Bandung Institute of Technology Bandung Indonesia

Belawan Port is one of the main ports in Indonesia whose role and function are important in the national logistics system. Belawan Port is a gateway for the Province of North Sumatra. The port must have sustainability in carrying out its role and function as transportation and economic infrastructure. In this research, Belawan Port sustainability will be evaluated from several aspects or dimensions, namely ecology, economy, social culture, technology, and institutions and law. Belawan port sustainability analysis using the Multidimensional Scaling method, using the modified Rapfish program. The analysis is carried out on five dimensions and 49 attributes/factors, which are used as a reference in the SDGs program. Not every SDG will be relevant for every business, however, every SDG should be considered. SDGs no.4 and no.5 are not directly related to port management activities, while SDGs no.8,9,11,14,17 are directly related. From the analysis obtained Ecology sustainability index = 48.38 (less-sustainable), Economic sustainability index = 42.89 (Less-Sustainable), Socio-Cultural sustainability index = 52.47 (Fair-Sustainable), Technological sustainability index = 54.11 (Fair-Sustainable), Institutional and Legal sustainability index = 50.74 (Fair-Sustainable). With policy and program interventions, the sustainability of the existing Belawan Port in the short term can be improved to be fair-sustainable for all dimensions (ecology, economy, social & culture, Technology, Institution & Law) evaluated. © Published under licence by IOP Publishing Ltd.

关键词： Sustainable development

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Time Lag Modeling in Modification of Nakayasu Synthetic Unit Hydrograph

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Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences 2022年第7期49卷 9-17页

作者： Buana, Hadi Limantara, Lily Montarcih Juwono, Pitojo Tri Sholichin, Moh Doctoral Program Department of Water Resources Engineering Faculty of Engineering University of Brawijaya Jl. MT Haryono No 167 Malang Indonesia Department of Water Resources Faculty of Engineering University of Brawijaya Jl. MT Haryono No 167 Malang Indonesia

In the development of the synthetic unit hydrograph method, the empirical formula expresses the relation between the watershed morphometry characteristic and the constituent elements of hydrographs that are peak discharge (Qp), time to peak (tp), time lag (TL), and time base (Tb). This research intends to build a model of time lag in order to modify the Nakayasu SUH modeling. The Nakayasu synthetic unit hydrograph (SUH) model, seen as very popular and widely used by practitioners, needs to be adjusted for the main parameters that form the hydrograph to be able to be directly used based on the watershed morphometry characteristic. Based on the specific characteristic of the Nakayasu SUH formulation, this research will focus on developing the Nakayasu SUH model by the modification with adding the watershed characteristic parameter to the time lag parameter (tL). This research was conducted in 23 watersheds in Indonesia. The previous research in the same watersheds indicates five morphometry parameters with a positive effect on the time lag with the ranking due to the strongest effect as follows: watershed area (A), the river length from outlet to the weight point of the watershed (Lc), H = ***, and the main river length (L). However, the two other parameters negatively affect the time lag with the ranking due to the strongest effect as follows: river network density (D) and river slope (K). Then, the modeling of time lag is carried out based on the research result, and the result of the time lag model is as follows: tL=Lc0.1809H-0.00159A0.003459 © 2022 Hunan University. All rights reserved.

关键词： Watersheds

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Comparative Analysis of The Effective Grounding System on External LPS Modeling in PV Fields

Comparative Analysis of The Effective Grounding System on Ex...

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International Conference on Electrical, Telecommunication and Computer engineering (ELTICOM)

作者： Rohana Rohana Surya Hardi Nasaruddin Nasaruddin Yuwaldi Away Doctoral Program. School of Engineering Universitas Syiah Kuala Banda Aceh Indonesia and Universitas Muhammadiyah Sumatera Utara Indonesia Dept. of Electrical Engineering Universitas Sumatera Utara Medan Indonesia Dept. of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh Indonesia

Solar energy is environmentally friendly energy and is available in large quantities. The energy produced is commonly converted into electricity by using solar panel (PV) systems for utilization. PV systems are generally located in open areas such as hillsides, deserts, and water surfaces, so they become more sensitive against lightning strikes. Commonly, the PV is equipped with a lightning protection system (LPS). This paper discusses the grounding system at the solar power center (PLTS) Weh Island, Sabang City. Evaluation and comparison under certain conditions are carried out through measurements, calculations, and simulations. The grounding system is modeled for one rod, four rods in parallel, and plate rod. The measurement process during field observations and the induce voltage simulation are carried out to get the results of the analysis calculations. The result obtained shows that the grounding system fulfills the PUIL standard, namely being smaller than $5 \Omega$. When using plate electrodes, the resistance value is greater than that of rod electrodes. So that the lower conductor can be more resistant and easier to maintain. Improving the quality of the protection system, this research is used as a reference to evaluate LPS conditions in PV fields.

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Verification of a synthetic rainfall model based on the ArRR and satellite rainfall

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Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences 2022年第8期49卷 193-199页

作者： Mulyono, Bambang Heri Limantara, Lily Montarcih Sholichin, Moh Sisinggih, Dian Suprijanto, Heri Doctoral Program at the Department of Water Resources Engineering Faculty of Engineering University of Brawijaya Jl. MT Haryono No 167 Malang Indonesia Department of Water Resources Faculty of Engineering University of Brawijaya Jl. MT Haryono MalangNo 167 Indonesia

Synthetic rainfall is needed as an input in the analysis of design flood. This research intends to conduct the verification of a synthetic rainfall model based on the ArRR and satellite result. The rainfall data is as the main component in obtaining the design, detail design, operation and maintenance of effective water resource infrastructure. Rainfall data is often used for the analysis of flood balance, flood frequency distribution, estimation of river discharge, and design of water structure. However, the main constraint in designing the water resource infrastructure is less available rainfall data temporally and spatially. The limitation of available rainfall station number causes inaccuracy in analyzing the area mean rainfall. Therefore, sometimes the correlation between recorded data from the rainfall station and water estimation station does not show a positive and strong correlation. This is due to less rainfall data that are spatially representative in the watershed upstream. The verification is carried out in the Ciliwung Hulu watershed. The methodology consists of ArRR analysis of the two extreme rainfall events, then the ArRR is analyzed using the synthetic rainfall model equation that is applied for watershed areas © 2022 Hunan University. All rights reserved.

关键词： Rain

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Cigarette butt filter as membrane material with tannic acid and FeCl₃ additives for improve antifouling properties

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Case Studies in Chemical and Environmental engineering 2025年 11卷

作者： Luthfiana, Anisa Mulyati, Sri Arahman, Nasrul Bilad, Muhammad Roil Aulia, Muhammad Prayogie Doctoral Program School of Engineering Science Universitas Syiah Kuala Banda Aceh Indonesia Department of Chemical Engineering Universitas Syiah Kuala Banda Aceh Indonesia Department of Chemical and Process Engineering Faculty of Integrated Technologies Universiti Brunei Darussalam Bandar Seri Begawan Brunei Darussalam Department of Chemical Science and Engineering Kobe University Kobe Japan

Membrane fouling remains a critical challenge in wastewater treatment, particularly in applications involving oil-water emulsions. This study addresses this issue by fabricating antifouling membranes from repurposed cigarette filter waste, modified with tannic acid and FeCl₃ (ferric chloride) coatings. These modifications enhance membrane hydrophilicity, antifouling properties, flux recovery, and selectivity through an environmentally friendly approach. The membranes were prepared using the non-solvent induced phase separation (NIPS) method and subsequently coated through vacuum filtration. Key performance metrics included pure water flux, oil emulsion selectivity, and antifouling properties. The antifouling mechanism was attributed to the hydrophilic and protective layers formed by the tannic acid and FeCl₃ modifications, which reduced fouling and improved flux recovery. Characterization revealed that the tannic acid and FeCl₃ modifications created a hydrophilic layer with uniform pore distribution, leading to an oil rejection rate of up to 97 % and an increased flux recovery ratio of 85 %, compared to 65 % in unmodified membranes. The results highlight the potential of waste-derived membranes as a sustainable alternative for industrial wastewater treatment, aligning with the principles of circular economy and green chemistry. Future work should explore long-term stability, surface charge effects, and optimization of additive concentrations to enhance performance and antifouling efficiency further. © 2025 The Authors

关键词： Antifouling membrane Cigarette filter waste FeCl3 Oil-water emulsion tannic acid

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Design of a Multilingual Translation System with Personalized Voice Characteristics

Design of a Multilingual Translation System with Personalize...

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International SoC Design Conference, ISOCC

作者： Chen-Hua Chen Guan-Yu Lai Chuan Lee Chang-Yu Wu Kuan-Lin Liu Shin-Chi Lai Doctoral Degree Program in Smart Industry Technology Research and Development Huwei Taiwan Dept. of Automation Engineering National Formosa University Huwei Taiwan Dept. Electronics Engineering National Yunlin University of Science and Technology Douliu Taiwan Dept. Automation Engineering & Smart Machinery and Intelligent Manufacturing Research Center National Formosa University Huwei Taiwan

ISBN: (数字)9798350377088

ISBN: (纸本)9798350377095

This study combines AI voice synthesis with IoT to create a real-time multilingual translation system. Front-end devices capture the speaker's voice, which is then played back in both original and translated forms, enabling consecutive interpreting. This system is ideal for multilingual scenarios. After digitization, audio signals undergo speech-to-text conversion, multilingual translation, and text-to-speech processing. Speech synthesis matches the speaker's voice characteristics, allowing listeners to hear the translation in the speaker's voice. Both voice-to-text conversion and translated audio playback use Wi-Fi for data transmission, facilitating future applications. In validation, the average translation and transmission time for each speech segment were 410 ms and 3.38 s, respectively. The synthesized voice similarity analysis achieved an accuracy of 88%, showcasing the method's potential for system integration and development.

关键词： Accuracy System integration Real-time systems Text to speech Data communication Artificial intelligence Wireless fidelity Speech to text

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FINE-TUNING TRANSFER LEARNING MODEL IN WOVEN FABRIC PATTERN CLASSIFICATION

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International Journal of Innovative Computing, Information and Control 2022年第6期18卷 1885-1894页

作者： Noprisson, Handrie Ermatita, Ermatita Abdiansah, Abdiansah Ayumi, Vina Purba, Mariana Setiawan, Hadiguna Program of Doctoral Program in Engineering Universitas Sriwijaya Jalan Raya Prabumulih-Inderalaya Palembang30128 Indonesia Faculty of Computer Science Universitas Sriwijaya Jalan Raya Prabumulih-Inderalaya Palembang30128 Indonesia Department of Research and Development Stikhafi Academy Jalan Timur Indah Raya Bengkulu38225 Indonesia

It is important to figure out the patterns of woven fabrics before producing woven fabric with a machine. Recognition of woven fabric pattern usually with the help of the human eye can understand the fabric pattern. However, this manual checking takes a lot of time, money, and work, which will raise the cost of making woven fabrics. This study uses the VGG16, VGG19, MobileNet, and Inception-V3 methods to classify woven fabric patterns. It also wants to see how fine-tuning method can help algorithms be more accurate at classifying images. The research was divided into four phases, including image acquisition, image preprocessing, image classification and evaluation. A total of 978 pictures of motifs included in the research dataset. There are 351 images for the cotton class, 76 images for linen, 195 images for silk, and 356 images for wool. As the result, the highest testing accuracy was in the Inception-V3 experiment (with fine-tuning) of 72.51%, and the lowest was in the VGG19 experiment (with fine-tuning) of 52.92%. © 2022 ICIC International.

关键词： Weaving

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