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5th International Conference on Advances in Information Communication technology and Computing, AICTC 2024

作者： Al-Hgaish, Areen Atan, Rodziah Yaakob, Razali Osman, Mohd Hafeez Department of Software Engineering and Information Systems Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang44330 Malaysia Department of Computer Science Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang44330 Malaysia

ISBN: (纸本)9789819761050

The utilization of Data-Driven Machine Learning (DDML) models in the healthcare sector poses unique challenges due to the crucial nature of clinical decision-making and its impact on patient outcomes. A primary concern in this domain is the data quality that forms the basis for these models, which is essential for their effectiveness. While numerous studies are dedicated to leveraging Machine Learning (ML) to enhance patient care, a substantial gap exists in understanding and evaluating the quality of training data before training ML models. This issue is exacerbated by the lack of well-defined standards to ensure that data characteristics align with the specific goals of ML in healthcare. To address this, our study introduces a conceptual three-dimensional framework focusing on data accuracy, completeness, and consistency aimed at assessing and improving the quality of training data. This framework is designed to enhance the performance, predictability, and interpretability of healthcare-specific ML models and reduce biases, thus bridging current research gaps and laying the groundwork for future developments in ML-driven healthcare systems. This paper presents the initial step for our proposed Data Quality Framework (DQF), which addresses the three dimensions mentioned above. It discusses its potential implications and applications in healthcare data, and its main goal is to provide a comprehensive overview of the proposed DQF, illustrating its significance in advancing healthcare data quality and ultimately improving patient outcomes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data accuracy

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SP-DSTS-MIMO Scheme-Aided H.266 for Reliable High Data Rate Mobile Video Communication

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Computers, Materials & Continua 2023年第1期74卷 995-1010页

作者： Khadem Ullah Nasru Minallah Durre Nayab Ishtiaque Ahmed Jaroslav Frnda Jan Nedoma Department of Computer Systems Engineering University of Engineering and Technology PeshawarPeshawar25000Pakistan National Centre in Big Data and Cloud Computing University of Engineering and Technology Peshawar(NCBC-UETP)Peshawar25000Pakistan Department of Quantitative Methods and Economic Informatics Faculty of Operation and Economics of Transport and CommunicationsUniversity of Zilina01026ZilinaSlovakia Department of Telecommunications Faculty of Electrical Engineering and Computer ScienceVSB-Technical University of OstravaOstrava-PorubaCzech Republic

With the ever growth of Internet users,video applications,and massive data traffic across the network,there is a higher need for reliable bandwidth-efficient multimedia *** Video Coding(VVC/H.266)is finalized in September 2020 providing significantly greater compression efficiency compared to Highest Efficient Video Coding(HEVC)while providing versatile effective use for Ultra-High Definition(HD)*** article analyzes the quality performance of convolutional codes,turbo codes and self-concatenated convolutional(SCC)codes based on performance metrics for reliable future video *** advent of turbo codes was a significant achievement ever in the era of wireless communication approaching nearly the Shannon *** codes are operated by the deployment of an interleaver between two Recursive Systematic Convolutional(RSC)encoders in a parallel *** RSC encoders may be operating on the same or different architectures and code *** proposed work utilizes the latest source compression standards H.266 and H.265 encoded standards and Sphere Packing modulation aided differential Space Time Spreading(SP-DSTS)for video transmission in order to provide bandwidth-efficient wireless video ***,simulation results show that turbo codes defeat convolutional codes with an averaged E_(b)/N_(0) gain of 1.5 dB while convolutional codes outperformcompared to SCC codes with an E_(b)/N_(0) gain of 3.5 dBatBit ErrorRate(BER)of 10−*** Peak Signal to Noise Ratio(PSNR)results of convolutional codes with the latest source coding standard of H.266 is plotted against convolutional codes with H.265 and it was concluded H.266 outperform with about 6 dB PSNR gain at E_(b)/N_(0) value of 4.5 dB.

关键词： H.265 RSC turbo codes SCC SP-DSTS BP-CNN BER PSNR

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Tetris-Style Stacking Process to Tailor the Orientation of Carbon Fiber Scaffolds for Efficient Heat Dissipation

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Nano-Micro Letters 2023年第9期15卷 310-324页

作者： Shida Han Yuan Ji Qi Zhang Hong Wu Shaoyun Guo Jianhui Qiu Fengshun Zhang The State Key Laboratory of Polymer Materials Engineering Sichuan Provincial Engineering Laboratory of Plastic/Rubber Complex Processing TechnologyPolymer Research Institute of Sichuan UniversityChengdu 610065People’s Republic of China Department of Mechanical Engineering Faculty of Systems Science and TechnologyAkita Prefectural University015-0055AkitaJapan Institute of Chemical Materials China Academy of Engineering PhysicsMianyang 621900People’s Republic of China

As the miniaturization of electronic devices and complication of electronic packaging,there are growing demands for thermal interfacial materials with enhanced thermal conductivity and the capability to direct the heat toward heat sink for highly efficient heat ***-based carbon fiber(CF)with ultrahigh axial thermal conductivity and aspect ratios exhibits great potential for developing thermally conductive composites as ***,it is still hard to fabricate composites with aligned carbon fiber in a general approach to fully utilize its excellent axial thermal conductivity in specific ***,three types of CF scaffolds with different oriented structure were developed via magnetic field-assisted Tetris-style stacking and carbonization *** regulating the magnetic field direction and initial stacking density,the self-supporting CF scaffolds with horizontally aligned(HCS),diagonally aligned and vertically aligned(VCS)fibers were *** embedding the polydimethylsiloxane(PDMS),the three composites exhibited unique heat transfer properties,and the HCS/PDMS and VCS/PDMS composites presented a high thermal conductivity of 42.18 and 45.01 W m^(−1)K^(−1)in fiber alignment direction,respectively,which were about 209 and 224 times higher than that of *** excellent thermal conductivity is mainly ascribed that the oriented CF scaffolds construct effective phonon transport pathway in the *** addition,fishbone-shaped CF scaffold was also produced by multiple stacking and carbonization process,and the prepared composites exhibited a controlled heat transfer path,which can allow more versatility in the design of thermal management system.

关键词： Carbon fiber Magnetic field Thermal management Thermally conductive composites

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A Computer Vision-Based Physical Activity Application for Children with Autism

A Computer Vision-Based Physical Activity Application for Ch...

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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Eda Obuz Kaan Toraman Serdar Solak Information Systems Engineering Faculty of Technology Kocaeli University

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

Autism Spectrum Disorder (ASD) is a neurological condition characterized by challenges in social interaction, communication, repetitive behaviors, and restricted interests. While the exact cause remains unknown, ASD results from genetic and environmental factors and persists throughout life. Early diagnosis and intervention enhance quality of life and potential. Games have proven effective in nurturing socialization, skill acquisition, and adaptability in children with ASD, leveraging their structured and visually appealing *** study adopted a game-based approach to support motor skills, socialization, and learning in children with ASD. Using computer vision techniques, children’s movements were captured via cameras and transformed into interactive virtual characters in real time. Activities included movement mimicry games to improve attention and motor skills, dance games for physical coordination, and turn-based games to enhance social skills. The system, developed in this study using Google MediaPipe Pose and Unity, is cost-effective and suitable for preschools and home use. Feedback from educators at the Autism Sports and Life Center guided system refinement. The work presented in this article offers a robust foundation for fostering independence and social participation in children with ASD.

关键词： Autism Humanities Robot kinematics Games Variable speed drives Motors Real-time systems Internet Sports Testing

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Spectroscopy Analysis of Transferred Type Arc Plasma with Argon Steam Mixture for Decomposition Process of Stable Matters

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International Journal of the Society of Material engineering for Resources 2022年第2期25卷 195-198页

作者： Sugimoto, Masaya Kanou, Wataru Goya, Kenji Department of Mechanical Engineering Faculty of Systems Science and Technology Akita Prefectural University Yurihonjo Akita015-0055 Japan

Generation of atmospheric arc plasma with some chemical activity is performed with a transferred type dc arc discharge. A commercially available welding torch is used with argon steam mixture as operation gas. As steam mol percentage increases in the mixture, input power to arc plasma increases and generated plasma appearance clearly changes. Spectroscopy analysis shows that complete dissociation of additional steam leads to increment of H and O radicals in the arc plasma. © 2022 Society of Materials engineering for Resources of Japan. All rights reserved.

关键词： Steam

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Elastic TiO2-embedded silicone oil-(poly)dimethylsiloxane membrane for compliant robotics 7

Elastic TiO2-embedded silicone oil-(poly)dimethylsiloxane me...

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7th IEEE International Conference on Electrical, Electronics, and System engineering, ICEESE 2024

作者： Osman, Ahmad Farimin Ahmad Yoong, Chan Kah Liang, Lee Chu Zakaria, Shamsul Centre for Advanced Devices and Systems Faculty of Engineering Faculty of Industrial Science and Technology Multimedia University Universiti Malaysia Pahang Al-Sultan Abdullah Cyberjaya Pahang Malaysia Centre for Advanced Devices and System Faculty of Engineering Multimedia University Cyberjaya Malaysia Faculty of Industrial Science and Technology Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Malaysia

ISBN: (纸本)9798350367447

Polydimethylsiloxane (PDMS) is essential in compliant robotics due to its versatility, elasticity, and biocompatible properties. Despite all the advantages, PDMS has a drawback of low dielectric permittivity, requiring high electric fields for significant actuation strains, which is the main cause leading to premature membrane breakdown. This paper investigates a dual-filler embedding approach using titanium dioxide (TiO2) and silicone oil (SO) to enhance the electromechanical properties and elasticity of PDMS membranes. A PDMS pre-blend was prepared by mixing commercial PDMS with a specified ratio of TiO2 and SO, forming single-filler and dual-filler systems, followed by curing in a laboratory oven. The membranes were subsequently characterized through uniaxial tensile testing to determine tensile strength, elongation at break, and Young's modulus. Breakdown strength analysis was conducted using a breakdown tester with step-up voltage, while relative permittivity was examined with an impedance analyzer within a frequency range of 30 MHz to 20 Hz. The dual-filler approach significantly improved tensile properties and elasticity, making PDMS membranes suitable for compliant robotics. This hybrid strategy creates a TiO2-embedded silicone oil-(poly)dimethylsiloxane composite membrane capable of withstanding extensive deformation thereby improving the performance and elasticity of compliant robotic systems. © 2024 IEEE.

关键词： Titanium dioxide

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Performance Evaluation of Intrusion Detection System with SVM 6

Performance Evaluation of Intrusion Detection System with SV...

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6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Diaz, Ricky Aurelius Nurtanto Putra, I. Ketut Gede Darma Sudarma, Made Sukarsa, I. Made Department of Computer Systems Faculty of Informatics and Computer Institut Teknologi dan Bisnis STIKOM Bali Bali Indonesia Department of Information Technology Faculty of Engineering Udayana University Jimbaran Hill Bali Indonesia Department of Electrical Engineering Faculty of Engineering Udayana University Jimbaran Hill Bali Indonesia

ISBN: (纸本)9798331539603

Various machine learning techniques have been proposed to improve the effectiveness of Intrusion Detection systems (IDS), where IDS is one of the important parts of the network that functions to maintain network security. With its various capabilities and reputation, Support Vector Machine (SVM) is often applied in various classification cases. However, it has constraints with accuracy and computing time when it comes to data that has large dimensions. Utilizing metaheuristic techniques is one possibility that researchers can use to solve this problem. To overcome this, in this study, we will evaluate the performance of SVM for the IDS case by utilizing the metaheuristic Grey Wolf Optimization (GWO) algorithm. From the experiments with three different iteration models, the best results of the combination of SVM and GWO were found in a model with 10 GWO iterations and 10 populations with an accuracy of 97.47% using 15 features out of 48 original features of the UKM-IDS20 dataset. © 2024 IEEE.

关键词： Network intrusion

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Investigation of using modified photovoltaic solar panels for battery charge of electric L1 category vehicles

Investigation of using modified photovoltaic solar panels fo...

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作者： Devlet, Bayram Ertürk, Mustafa Yağız Gürbüz, Emine Keçebaş, Ali Muğla Sıtkı Koçman University Faculty of Technology Department of Energy Systems Engineering Muğla Turkey Sakarya University of Applied Sciences Faculty of Technology Department of Mechanical Engineering Sakarya Turkey

In this study, comparative tests of 3 different PV panels were carried out under 3 different scenarios, in order to charge L1 class vehicles. The first regular PV panel (N-PV) was used as a reference for performance comparison with other modified panels. In order to increase its thermal conductivity, paraffin, a phase change material (PCM) weighing 300 g with 10% copper powder doped by mass, was added to the back of the second panel (PCM-PV). In the third panel (PCM-CPV), two planar concentrators with the dimensions of the PV panel are mounted in addition to the properties of the second panel. Thus, electrical power measurements of three different PV panels with equivalent power under three different scenarios, namely fixed angle to the sun, vehicle parking state and vehicle driving state, were performed respectively. The results of the study showed that the efficiency increase of the fixed angle PCM-CPV panel compared to the N-PV panel used as a reference is 36%. It has been observed that the PCM-PV panel produces 21% and 47% more electrical power than the N-PV panel for vehicle driving and vehicle parking situations, respectively. However, due to the shadowing problem, the PCM-CPV panel showed lower performance than the PCM-PV panel on vehicle driving and vehicle park situations. © 2022

关键词： Solar panels

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Incremental federated learning for traffic flow classification in heterogeneous data scenarios

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Neural Computing and Applications 2024年第32期36卷 20401-20424页

作者： Pekar, Adrian Makara, Laszlo Arpad Biczok, Gergely Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. Budapest1111 Hungary HUN-REN-BME Information Systems Research Group Magyar Tudósok krt. 2 Budapest1117 Hungary

This paper explores the comparative analysis of federated learning (FL) and centralized learning (CL) models in the context of multi-class traffic flow classification for network applications, a timely study in the context of increasing privacy preservation concerns. Unlike existing literature that often omits detailed class-wise performance evaluation, and consistent data handling and feature selection approaches, our study rectifies these gaps by implementing a feed-forward neural network and assessing FL performance under both independent and identically distributed (IID) and non-independent and identically distributed (non-IID) conditions, with a particular focus on incremental training. In our cross-silo experimental setup involving five clients per round, FL models exhibit notable adaptability. Under IID conditions, the accuracy of the FL model peaked at 96.65%, demonstrating its robustness. Moreover, despite the challenges presented by non-IID environments, our FL models demonstrated significant resilience, adapting incrementally over rounds to optimize performance;in most scenarios, our FL models performed comparably to the idealistic CL model regarding multiple well-established metrics. Through a comprehensive traffic flow classification use case, this work (i) contributes to a better understanding of the capabilities and limitations of FL, offering valuable insights for the real-world deployment of FL, and (ii) provides a novel, large, carefully curated traffic flow dataset for the research community. © The Author(s) 2024.

关键词： Federated learning

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Improved Processing Circuit for MEMS Accelerometer as a Respiration Sensor 7

Improved Processing Circuit for MEMS Accelerometer as a Resp...

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7th International Conference on Advances in Biomedical engineering, ICABME 2023

作者： Al-Zaben, Awad Al-Naami, Bassam Al-Omari, Ghadeer Yarmouk University Hijjawi Faculty for Engineering Technology Biomedical Systems and Medical Informatics Department Jordan Engineering College Hashemaite University Biomedical Engineering Department Jordan

ISBN: (纸本)9798350325850

Capturing respiration signal using a microelectromechanical (MEMS) accelerometer is a challenging task. The design of the interface circuit of the sensor must consider the characteristics of the respiration signal resulting from abdominal movement. It is mainly characterized by very low magnitude and low-frequency contents. Hence, any DC offset or drift in the sensor's response is a key design factor of the circuit. In addition, the OnChip processing circuit of the sensor itself may introduce DC offset and limit the lower range of the frequency response. This paper presents a design and implementation of a signal processing interface circuit that can be used to process MEMS accelerometer output to capture respiration signals. The circuit consists of a low pass filter that captures the DC component of the signal, then a differential amplifier that subtracts the estimated DC component from the signal followed by amplification. The circuit is self-calibrated by the position of the sensor. The circuit diagram, evaluation results, and validation of the circuit are presented in this paper. © 2023 IEEE.

关键词： Accelerometers

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