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9th International Conference on Wireless and Telematics, ICWT 2023

作者： Ramadhani, Saenab Wijanto, Heroe Sudjai, Miftadi School of Electrical Engineering Telkom University Graduate Program of Regulation and Management of Telecommunication Bandung Indonesia School of Electrical Engineering Telkom University Regulation and Management of Telecommunication Bandung Indonesia

ISBN: (纸本)9798350305029

Ku-band and Ka-band are frequency bands that are widely used for high throughput satellites, in Indonesia Ku-band have been used in several types of satellite services to support bandwidth limitations in the C-band. For this reason, a comparative study of Ku-band and Ka-band was carried out to ensure that the two frequency bands can be used in Indonesia's tropical climate and further evaluate the existing regulations for the implementation of HTS in Indonesia. The results of this study show that Ku-band and Ka-band can be used for HTS satellites in Indonesia. All communication links tested showed C/N values higher than the minimum requirements of C/N. Although both frequency bands can use in Indonesia, in terms of economy and efficiency, Ka-band is greater than Ku-band, the availability of wide bandwidth makes the throughput produced by Ka-band more than Ku-band. Capacity measurement simulation is also carried out with two frequency reuse schemes where higher throughput is present at 8 spot beams per cluster scheme. The scenario requires at least nine times frequency reuse to cover the entire region of Indonesia with total throughput on Ka-band 123.02 Gbps under normal sky conditions and 55.56 Gbps under rain sky conditions. The regulation review process resulted in suggestions for changes to the bandwidth cost index to be used in setting spectrum prices for the use of HTS. The need for this change is based on the consideration that bandwidth cost index was previously the base price for satellite transponders with a small bandwidth and HTS satellites are sensitive bandwidth technology. © 2023 IEEE.

关键词： Satellites

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Measurement of renal blood flow in a rat model using diffuse correlation spectroscopy

Measurement of renal blood flow in a rat model using diffuse...

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Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics

作者： Nakabayashi, Mikie Ono, Yumie Electrical Engineering Program Graduate School of Science and Technology Meiji University Kanagawa Japan Department of Electronics and Bioinformatics School of Science and Technology Meiji University Kanagawa Japan

ISBN: (纸本)9781957171340

关键词： Detectors Laser sources Lasers Near infrared Photon counting Spectroscopy

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Production and characterization of polymeric nanocomposite foams based on starch and cellulose nanofibers from oil palm mesocarp fiber

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Applied Nanoscience (Switzerland) 2025年第2期15卷 1-11页

作者： Souza, Mariana Costa Gonçalves, Ana Paula Bispo da Silva Oliveira, Emanoel Igor dos Santos, Juscivaldo Passos Lazzari, Lídia Kunz Zattera, Ademir José José, Nadia Mamede Chemical Engineering Graduate Program Polytechnic School Federal University of Bahia Bahia Salvador Brazil Department of Education Federal Institute of Education Science and Technology Feira de Santana Bahia Brazil Postgraduate Program in Process Engineering and Technologies University of Caxias Do Sul Rio Grande Do Sul Caxias Do Sul Brazil

The demand for sustainable and eco-friendly materials has promoted studies over the years to explore different polymeric materials that meet requirements such as biodegradability and sustainability. In this context, biopolymer materials based on cellulose nanoparticles and starch from different botanical sources have been investigated, aiming to achieve satisfactory performance. The present study aims to develop and characterize cassava starch foams based on density, scanning electron microscopy (SEM), and three-point flexure tests, and to evaluate the effect of cellulose nanofibers obtained from palm mesocarp fibers using the ultrafine friction grinding method after different processing times, characterized by X-ray diffractometry (XRD), microscopy, and chemical composition, as a reinforcing filler. The chemical composition and scanning electron microscopy revealed the effectiveness of the cellulose isolation process, with the analysis of the chemical composition revealing a cellulose content of 55.70% in the fibers after pulping and bleaching, in addition to changes in the visual characteristics of the material after the process aimed at isolating the cellulose. After grinding, XRD showed an increase in crystallinity (76.1% at the maximum grinding time), along with typical microscopy images of cellulose nanofibers. The analysis of the obtained nanocomposites provided insights into the role of these nanostructures in the thermo-expanded starch matrix, indicating that the nanofibers promoted changes such as an increase in mechanical properties and crystallinity, which contributed to improving overall mechanical performance. A 67.48% increase in flexural strength was achieved for the formulation with cellulose nanofibers that underwent 150 min of grinding, without causing major variations in density. © King Abdulaziz City for Science and Technology 2025.

关键词： Starch

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Threshold-Based Electroencephalography Brain-Computer Interface for Robot Arm Control 8

Threshold-Based Electroencephalography Brain-Computer Interf...

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8th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2023

作者： Rusydi, Muhammad Ilhamdi Amrina, Elita Winata, Yoan Ramadhani, Salisa Nofendra, Riko Graduate School Universitas Andalas Engineering Faculty Program of Engineer Professional Education Electrical Engineering Department Padang Indonesia Universitas Andalas Engineering Faculty Electrical Engineering Department Padang Indonesia

ISBN: (纸本)9798350302851

Brain-Computer Interface (BCI) is a technique that uses real-Time brain impulses to connect with and control external devices. BCI provides a new method for controlling external devices by translating brain signals into computer commands, facilitating the daily lives of people with disabilities and enhancing their ability to exhibit expected behavior. A Brain-Computer Interface (BCI) system based on Electroencephalography (EEG) was built to control the robotic arm. The EEG signals utilized included both eyes blinking, the right eye, the left eye, and the jaw contraction. EEG data were recorded from seven healthy subjects. The threshold approach is used to classify EEG signals, with the feature employed being the amplitude of the EEG signal. The highest threshold value for the blinking signal was 0.6 mV with an accuracy of 97.9%, while the best threshold value for jaw contraction was 0.4 mV with an accuracy of 93.34 percent. The healthy, inexperienced participants took part in system testing. The total results of testing each robot movement yielded an overall success rate of 84.52 percent. Therefore, it was determined that the system could facilitate the operation of the length robot even if the user lacked prior experience with EEG-based systems. © 2023 IEEE.

关键词： Brain computer interface

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Quantitative Analysis of Ankle Spasticity Through Electromyography Signal

Quantitative Analysis of Ankle Spasticity Through Electromyo...

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2024 Medical Technologies Congress, TIPTEKNO 2024

作者： Gurluk, Ayse Bilal, Hafiz Muhammad Hocaoglu, Elif Living Robotics Laboratory Graduate School of Health Sciences Physiotherapy and Rehabilitation Program Istanbul Medipol University Istanbul Turkey Living Robotics Laboratory Graduate School of Engineering and Natural Sciences Electrical-Electronics Engineering and Cyber-Systems Program Istanbul Medipol University Istanbul Turkey Living Robotics Laboratory Department of Electrical and Electronics Engineering Istanbul Medipol University Istanbul Turkey

ISBN: (纸本)9798331529819

This study presents a more accurate evaluation method for assessing ankle spasticity compared to conventional goniometric techniques by utilizing measurements obtained from Inertial Measurement Units (IMU) and surface electromyography (sEMG) devices. Integrating IMU and EMG sensors provides substantial benefits for accurately determining the range of motion (ROM) associated with spasticity during targeted movements. In this study, the proposed method provides precise measurement and an objective evaluation of onset time detection of antagonistic muscle co-contraction, and accordingly the ROM of the actuated joint. Moreover, the implementation of cost-effective wearable sensors enables the monitoring of muscle spasticity in clinical environments and can be particularly valuable in regions with limited access to experienced therapists, providing a more efficient approach to tracking spasticity levels. © 2024 IEEE.

关键词： Electromyography

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ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicular CAN Bus Networks 33

ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicula...

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33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2025

作者： Rendel, Jonathan Balte, William Kurunathan, Harrison Ali, Hazem Ismail Roque, Alexandre Dos Santos Morais, Wagner Ourique De Fazeli, Mahdi Halmstad Sweden Polytechnic Institute of Porto CISTER/ISEP Portugal Federal University of Rio Grande do Sul - UFRGS Graduate Program of Electrical Engineering Porto Alegre Brazil

ISBN: (纸本)9798331524937

Zero-day attacks present a significant security threat to vehicular networks, exploiting vulnerabilities at both software and hardware levels within such systems that remain undiscovered. Mitigating these threats is essential to ensuring the safety and security of vehicular systems. Support Vector Machine (SVM) is a good candidate for anomaly detection of zero-day attacks within vehicular networks because it can handle highdimensional data and effectively distinguish between normal and abnormal patterns in complex and dynamic environments. A trained SVM on the normal operation data of in-vehicular network can identify flag deviations, thus making it effective in the detection of any previously unknown attack patterns, which is a common behaviour of zero-day attacks. In this paper, we introduce an anomaly detection method called "ZeroCAN"which models the behaviour of every single electronic control unit on the network with a separate SVM and a set of high-level features that capture the timing and data payload aspects of CANbus traffic. This approach achieves an anomaly detection rate of over 99% and a false positive rate below 0.01% during normal operation in most cases. © 2025 IEEE.

关键词： Anomaly detection CAN bus IDS Feature engineering Zero-day

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Robust Health Monitoring for Lithium-Ion Batteries under Guidance of Proxy Labels: A Deep Multi-Task Learning Approach

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IEEE Transactions on Power Electronics 2025年第8期40卷 10272-10285页

作者： Guo, Ruohan Zhang, Kui He, Shangyang Tao, Shengyu Zhang, Xuan Liu, Kailong Li, Xiangjun Tian, Jinpeng Shen, Weixiang Chung, Chi Yung The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Research Centre for Grid Modernisation Kowloon999077 Hong Kong Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518055 China Shandong University School of Control Science and Engineering Jinan250100 China China Electric Power Research Institute Beijing100192 China Swinburne University of Technology School of Engineering MelbourneVIC3122 Australia

State of health (SOH) estimation is foundational for effective health prognosis and management of lithium-ion batteries. However, conventional data-driven approaches struggle to ensure robust generalisability when training data lacks sufficient SOH labels. In this work, we explore the potential utility of ageing information, gathered from routine operational data beyond the standard input collection region, as proxy labels (PLs) to establish nonlinear mappings between a short charging segment and SOH. To achieve this, we develop a multi-task learning (MTL) framework for battery health monitoring, which comprises two critical components: (1) a deep MTL model, and (2) a multivariate Gaussian process regression (GPR) model. The deep MTL model is designed with four distinct tasks, each with a specific goal to exploit data under different labelling conditions, facilitating the extraction of domain-invariant and target-specific features for PL estimation. Using the estimated PLs, the GPR model is employed to provide precise mappings to SOH. Validations are conducted on batteries with diverse chemistries and cycling temperatures, particularly under severe label scarcity below 5%. The results confirm the effectiveness of the proposed method, outperforming baseline methods and achieving a mean absolute error of less than 1.3% in all case studies. © 1986-2012 IEEE.

关键词： Electronic health record

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Analysis on Performance of Semi-Real-Time Transcription on Health App 18

Analysis on Performance of Semi-Real-Time Transcription on H...

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18th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Indrasary, Yoenie Nugraha, Daniel Prihatmanto, Ary Setijadi Sarief, Ivany Gunawan, Rudy Yunautama, Dhema School of Electrical Engineering and Informatics Institut Teknologi Bandung Doctoral Program of Electrical Engineering and Informatics Bandung Indonesia State Polytechnic of Banjarmasin Banjarmasin Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Universitas Sangga Buana Faculty of Engineering Dept. of Electrical Engineering Bandung Indonesia Universitas Sangga Buana Directorate of Vocational Dept. of Informatics Engineering Bandung Indonesia

ISBN: (纸本)9798331527686

The fragmentation of health information systems has hindered seamless data exchange in healthcare services, posing challenges in achieving efficient, real-time access to patient health data. This study addresses these issues by evaluating the implementation of a semi-real-time transcription system using a distributed architecture with a message broker to enhance the documentation of clinical examination processes in primary health services. The research focuses on assessing the feasibility of this approach by measuring key performance indicators such as latency and word error rate (WER) during clinical conversation transcription. Audio recordings were segmented into shorter fragments to simulate real-time transcription, and data transmission was conducted through the Advanced Message Queuing Protocol (AMQP). The findings demonstrate that the average latencys achieved by semi-real-time transcription system is 7.7s, indicating its potential suitability for clinical documentation applications that do not require strict real-time processing. However, glitches observed in the message broker's forwarding mechanism suggest the need for further optimization to ensure consistent performance. Future work aims to develop strategies to minimize transcription errors, enhance reliability, and improve the overall integration of this system in healthcare settings. This study contributes to the advancement of health information systems by offering architecture into scalable and effective methods for semi-real-time data transcription and interoperability. © 2024 IEEE.

关键词： Audio recordings

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Reducing Dependency on Imported Electricity: Utilizing Renewable Energy and Minimizing Fossil Fuel Power Plant Operations in West Kalimantan

Reducing Dependency on Imported Electricity: Utilizing Renew...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Akbar, Ilham Zakaria, Ariesa Budi Muljadi, Eduard Suwarno Hariyanto, Nanang Corporate University Graduate Program PLN-ITB Pln Auburn United States Auburn University Auburn United States School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350376067

This paper discusses West Kalimantan's dependency on imported electricity and fossil fuels and advocates for integrating renewable energy sources, especially solar power. With abundant solar resources and its equatorial location, West Kalimantan presents a significant solar PV generation opportunity. However, its dependence on imported electricity from the ASEAN Grid initiative poses risks to energy security. By promoting solar power as an alternative energy source and reducing reliance on fossil fuels, the paper aims to improve energy independence and sustainability. Integrating solar PV requires assessing frequency stability to ensure system resilience. Moreover, the interconnection between the two grids enhances system resilience and facilitates renewable energy integration. In summary, integrating solar PV power plants into the West Kalimantan system aims to decrease dependence on electricity imports from Sarawak while preserving the system's frequency stability. © 2024 IEEE.

关键词： Frequency stability

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Enhancement of Accuracy For UWB Indoor Positioning Using Support Vector Regression 13

Enhancement of Accuracy For UWB Indoor Positioning Using Sup...

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13th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2024

作者： Syathirah, Andi Sitti Munadi, Rendy Hapsari, Gita Indah Telkom University Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Jl. Telekomunikasi. 1 Terusan Buahbatu Jawa Barat Bojongsoang Indonesia

ISBN: (纸本)9798350368086

Ultra-Wide Band (UWB) is a wireless technology that utilizes frequencies with a wide bandwidth to provide coverage and positioning with centimeter-level accuracy. This technology has been widely applied in various fields, such as activity recognition, indoor localization, and through-wall radar. One of the main advantages of UWB is its ability to determine the location of objects with an accuracy of up to 10 cm, making it ideal for tracking moving assets in complex and space-sensitive environments. In this study, a UWB-based positioning system uses a minimum of three anchors and one tag to measure the distance between devices. However, some conditions can reduce the measurement accuracy. To overcome this, this study proposes the use of the Support Vector Regression (SVR) algorithm to improve the accuracy of the system's positioning. SVR is a regression method that supports linear and non-linear regression, with the aim of finding the optimal hyperplane that minimizes prediction errors. The results of the study show that UWB combined with SVR can provide significant accuracy, with a Mean Absolute Error (MAE) of 17 cm on the X coordinate and 19 cm on the Y coordinate, and a Mean Squared Error (MSE) of 4 cm on the X coordinate and 5 cm on the Y coordinate in Line of Sight (LOS) conditions which under 20 cm. This confirms that the combination of UWB and SVR is an effective approach in improving the accuracy of indoor positioning. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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