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2021 International Conference on Computer System, Information Technology, and electrical engineering, COSITE 2021

作者： Roslidar, Roslidar Saddami, Khairun Irhamsyah, Muhammad Arnia, Fitri Syukri, Maimun Munadi, Khairul Universitas Syiah Kuala Doctoral Program Post Graduate Program School of Engineering Banda Aceh23111 Indonesia Universitas Syiah Kuala Department of Electrical and Computer Engineering Banda Aceh23111 Indonesia Universitas Syiah Kuala Medical Faculty Banda Aceh23111 Indonesia

ISBN: (纸本)9781665425094

The convolutional neural network's ability to learn images has reigned in computer vision tasks of object detection, classification, and segmentation. In segmentation, the CNN architectures of U-Net and SegNet have shown a good performance;thus, we implemented these networks to take the region of interest (ROI) of the breast thermal images from database for mastology research (DMR). We fine-tuned the networks to find the optimal hyperparameter that can result in the best learning performance. The networks were trained using the stochastic gradient descent optimization algorithm, and weights were updated using the error backpropagation of the algorithm. To minimize the error, the loss function is applied to evaluate a candidate solution of the weights. Thus, we conducted a preliminary study on finding the optimal loss function for breast thermal image segmentation. We applied loss functions of cross-entropy, dice, and focal and figured out the one that provides the highest segmentation accuracy. Then, to evaluate the segmentation result, we calculated the pixel accuracy rate and the dice coefficient to obtain the overlapping index measuring the overlay area between ground truth and predicted output. The result shows that the SegNet model with cross-entropy loss function can take the ROI of breast thermal images at the highest pixel accuracy and optimum dice coefficient of 0.8845 and 0.7928, respectively. © 2021 IEEE.

关键词： Image segmentation

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On the Evaluation of Access-point Handovers for UAVs in Long-distance Missions

On the Evaluation of Access-point Handovers for UAVs in Long...

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2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021

作者： Fagundes, Leonardo A. Souza, Vitor Barbosa Brandao, Alexandre S. Núcleo de Especialização em Robótica Federal University of Viçosa Department of Electrical Engineering and Graduate Program on Computer Science Viçosa Brazil Federal University of Viçosa Graduate Program on Computer Science Department of Informatics Viçosa Brazil

ISBN: (纸本)9780738131153

Unmanned Aerial Vehicle (UAV) systems are being increasingly used in a broad range of applications requiring extensive communications either to interconnect the UAVs with each other or to connect them with Ground Control Stations (GCS). Due to the complexity and difficulty of performing long distance experiments with these robots, simulation becomes a viable and necessary alternative. However, focusing either on the modeling of UAV operations or communication dynamics, available simulation tools are not able to capture the complex interdependencies between these two aspects, especially in applications where extensive communications are required. The main contribution of this work is the modeling and implementation of strategies for enhancing connectivity of a UAV performing long-distance navigation tasks, taking into account applications' requirements. The proposed strategies aim at assessing the impact of frequent handovers between wireless access points in terms of packet loss and available bandwidth. The first strategy prioritizes maintaining a connection until the signal-to-noise ratio (SNR) observed by the robot reaches a predefined threshold. For this, it is assumed that the data to be transmitted is small enough so that the robot may change its modulation to obtain smaller bandwidths while improving connection time. The second one prioritizes bandwidth availability, thus, it always searches for a network that is able to offer data rates higher than a minimum threshold. A hybrid model is validated by considering the characteristics of each individual strategy. The capabilities of the simulation tool designed for this work are illustrated through some case-study scenarios. © 2021 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Channel Estimation for Optical IRS-Assisted VLC System via Spatial Coherence

arXiv

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arXiv 2024年

作者： Sun, Shiyuan Yang, Fang Mei, Weidong Song, Jian Han, Zhu Zhang, Rui Beijing100084 China University of Electronic Science and Technology of China Chengdu611731 China Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States Shenzhen Research Institute of Big Data Shenzhen518172 China Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

Optical intelligent reflecting surface (OIRS) has been considered a promising technology for visible light communication (VLC) by constructing visual line-of-sight propagation paths to address the signal blockage issue. However, the existing works on OIRSs are mostly based on perfect channel state information (CSI), whose acquisition appears to be challenging due to the passive nature of the OIRS. To tackle this challenge, this paper proposes a customized channel estimation algorithm for OIRSs. Specifically, we first unveil the OIRS spatial coherence characteristics and derive the coherence distance in closed form. Based on this property, a spatial sampling-based algorithm is proposed to estimate the OIRS-reflected channel, by dividing the OIRS into multiple subarrays based on the coherence distance and sequentially estimating their associated CSI, followed by an interpolation to retrieve the full CSI. Simulation results validate the derived OIRS spatial coherence and demonstrate the efficacy of the proposed OIRS channel estimation algorithm. Copyright © 2024, The Authors. All rights reserved.

关键词： Channel state information

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An integrated secured vehicular ad-hoc network leveraging Kerberos authentication and Blockchain technology

An integrated secured vehicular ad-hoc network leveraging Ke...

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International Symposium on Computing and Networking Workshops (CANDARW)

作者： Maya Rahayu Md. Biplob Hossain Md. Arshad Ali Samsul Huda Yuta Kodera Yasuyuki Nogami Graduate School of Environmental Life Natural Science and Technology Okayama University Japan Electrical Engineering Department Politeknik Negeri Bandung Indonesia Electrical and Electronic Engineering Department Khwaja Yunus Ali University Bangladesh Faculty of CSE Hajee Mohammad Danesh Science and Technology University Bangladesh Green Innovation Center Okayama University Japan

Vehicular Ad-Hoc Networks (VANETs) are a prominent technology in the drive towards establishing smart transportation systems in the Digital Transformation (DX) era. These networks provide users with critical road information for optimal route selection and accident avoidance. However, the openness of VANETs environment makes them susceptible to various cyber threats. Therefore, authenticating the entities that join the network is necessary and crucial for ensuring the security and integrity of VANET communications. Kerberos is one of the authentication protocols that ensure security, as the password and key are never directly sent among the entities. However, ensuring secure and efficient authentication, especially in VANET handovers, remains a challenge. This paper introduces an innovative authentication system for VANETs that leverages the combined power of blockchain and Kerberos. The system stores Kerberos authenticator messages in a distributed ledger within the blockchain, accessible to Trusted Authorities (TAS) and all RSUs. This approach streamlines vehicle handovers and safeguards authenticator messages against adversarial tampering. It exhibits minimal signalling overhead and authentication delay, ensuring swift and secure authentication processes. We verify the proposal’s effectiveness by simulating the VANETs environment with 100 vehicles, 4 RSUs, and 1 TAS using Omnet++ with the Tsushima, Japan area map.

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The Pairing Analysis Improvement of Magnetized Structure in Electromagnetic Bulging Process in Case of Tube with Field Shaper

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Journal of Electromagnetic Analysis and Applications 2024年第4期16卷 43-67页

作者： Blaise Kevine Lenz Soronga Zhanqian Zhan Jing Liu Jonas Asamoah Mohamed Bangali Bangura Matala Makiese N’kodia Kambani Chrionie Md Jobayer Hossain Yongdong Chen Program Debugging and Design Department Guangdong Lyric Robot Automation Co. Ltd Huizhou China Electrical and Automation Department China Three Gorges University Yichang China Electronic Department Power Electronic Research Center University of Kent Giles Ln Canterbury UK Program Debugging Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China Electrical and Computer Engineering Department South China University of Technology Guangzhou China World Standardization Certification and Testing Group (Shenzhen) Co. Ltd. Shenzhen China Electrical Engineering-Power System Mapon University Kindu Democratic Republic of Congo Department of Economy Managment School of Management Computer and Telecomunication Rabbat Marocco Materials Visual Calibration Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China Program Design Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China

In the current practical science, the accuracy in the formability of metal alloys being the goal when using electromagnetic forming (EMF) technology, which is a high-speed processing technology that uses Lorentz forces to achieve plastic deformation of sheet metal;according to the previous analysis, the results have shown that in most cases, the Lorentz force acting on the workpiece (metal) is not uniform, there are uneven axial deformations of the metal plates which prevent the rapid advancement of today’s technology. In this article, we presented some advanced analyzes which will lead us to improve the technical solution for the problems of non-uniform axial deformations of the metals in the traditional tube electromagnetic forming technology (EMF). A field shaper is used as a practical forming tool to influence the magnetic field and magnetic pressure distribution, thereby improving the forming ability and result during the electromagnetic forming (EMF) process and we see that induced eddy current control is realized by changing the structural parameters of the magnetic field shaper;which improves the strength and controllability of the magnetic force that acts on the workpiece;thereby a greater radial magnetic pressure can be achieved with field shaper than the case without it;the field shaper regulates the electromagnetic force, the distribution of the magnetic pressure decreases, and the uniform force area of the tube increases which effectively enhances the uniform range of the pipe electromagnetic bulging and the electromagnetic induction coupling between the coil and the metallic workpiece is generally required to produce the Lorentz forces. Using COMSOL Multiphysics® simulation software helped us to accurately represent the real world, simulating multiple physical effects that happened in this model during the process.

关键词： Electromagnetic Forming Field Shaper Lorentz Force Magnetic Pressure Distribution

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High-quality GeSn thin-film resonant cavities for short-wave infrared applications

Journal of Vacuum Science and Technology B

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Journal of Vacuum Science and Technology B 2023年第4期41卷

作者： Wu, Jheng-Ying Wang, Yu-Fu Liu, Chia-You Kuo, Shin-Chun Chen, Tzu-Hsuan Li, Jiun-Yun Huang, Chin-Ya Liu, Chien-Hao Yang, Jung-Yen Chang, Chun-Chieh Chang, Tzu-Hsuan Graduate Institute of Electronic Engineering National Taiwan University Taipei106319 Taiwan Institute of Electro-Optical Engineering National Taiwan Normal University Taipei106209 Taiwan Department of Electrical Engineering National Taiwan University Taipei106319 Taiwan Graduate School of Advanced Technology National Taiwan University Taipei106319 Taiwan Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei106335 Taiwan Department of Mechanical Engineering National Taiwan University Taipei106319 Taiwan Taiwan Semiconductor Research Institute Hsinchu300091 Taiwan

High-quality infrared (IR) devices made of group IV materials are highly promising to replace traditional III-V semiconductor-based IR optoelectronics due primarily to their compatibility with mature silicon-based technologies and much lower costs. In this regard, germanium tin (GeSn) has emerged as the only direct bandgap material in the group IV family exhibiting superior electrical and optical characteristics. In the past years, GeSn IR optoelectronics including lasers and photodetectors have been realized, although novel device architectures are still needed to enhance their device performance. Here, we experimentally demonstrate high-performance, large-area (mm2) GeSn thin-film resonant cavities (film thickness resonance operating at short-wave IR wavelengths by employing membrane transfer techniques). The fabricated asymmetric air/GeSn/metal structures exhibit high absorptance (>90%) at designed resonance wavelengths, which are easily tuned by tailoring the GeSn layer thickness. The measured resonance absorption reveals excellent agreement with numerical simulations, which further elucidates the mode characteristics of the observed cavity resonances. The demonstrated thin-film device architectures could greatly facilitate the development of novel GeSn photonic devices with tunable wavelengths and enhanced performance enabled by strain engineering, and could allow for the integration of GeSn into many existing group IV-based devices for next-generation IR optoelectronics where high performance, small footprint, and low cost are all required. © 2023 Author(s).

关键词： Germanium alloys

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Machine learning-based analysis of multiple simultaneous disturbances applied on a transmission-reflection analysis based distributed sensor using a nanoparticle-doped fiber

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Photonics Research 2023年第3期11卷 364-372页

作者： LETíCIA AVELLAR ANSELMO FRIZERA HELDER ROCHA MARIANA SILVEIRA CAMILO DíAZ WILFRIED BLANC CARLOS MARQUES ARNALDO LEAL-JUNIOR Graduate Program of Electrical Engineering Federal University of Espirito SantoVitoria 29075-910Brazil Université Cote d'Azur Institut de Physique de NiceCNRS06108 Nice Cedex 2France I3N and Physics Department Universidade de AveiroCampus Universitário de SantiagoAveiro 3810-193Portugal

Photonic technology combined with artificial intelligence plays a key role in the development of the latest smart system trends,integrating cutting-edge technology with machine learning *** paper proposes a transmission-reflection analysis based system using dielectric nanoparticle-doped fiber combined with artificial intelligence to address one of the major problems in the distributed sensing approach:reducing the cost while maintaining high spatial resolution to close the gap between distributed sensors and the general *** learning-based models are designed to classify the perturbed positions when the same force is used and force regression when different forces are applied on each *** results show an accuracy of 99.43%in the position classification of multiple disturbances and an rms error of 1.53 N in the force regression,which represents 5%of the force *** addition,a smart environment using the current system is proposed,which presented 100%accuracy in identifying the positions of different persons in the *** smart environment enables remote home care of patients with high reliability,intelligent decision-making,and a predictive capability.

关键词： smart fiber positions

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Predicting Microsatellite Instability from Histology Images with Dilated Neighborhood Attention Transformer in Colorectal Cancer

Predicting Microsatellite Instability from Histology Images ...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Yun-Chi Chen Tung Chao Wimaya Nitya Phandita Tzu-Yu Sun Huai-Zhi Wang Yi-Hsien Hsieh Le-Yin Hsu Che Lin Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University (NTU) Taipei Taiwan College of Bioresources and Agriculture NTU Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Graduate Institute of Communication Engineering NTU Taipei Taiwan Data Science Degree Program NTU Taipei Taiwan Department of Electrical Engineering NTU Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taipei Taiwan Smart Medicine and Health Informatics Program NTU Taipei Taiwan

ISBN: (数字)9798331518622

ISBN: (纸本)9798331518639

Microsatellite instability (MSI) is a pivotal genetic marker influencing the efficacy of immunotherapy in colorectal cancer. Traditional MSI examination often requires additional genetic or immunohistochemical tests, whereas histology images, widely available in colorectal cancer diagnosis, offer a valuable alternative for MSI prediction. Although Transformer-based models have demonstrated promising outcomes in predicting MSI from histology images, they are hampered by traditional local attention mechanisms that struggle to capture long-range interdependencies and establish a comprehensive global receptive field. In this study, we introduce DiNAT-MSI, a novel framework for histology-based MSI prediction that incorporates the Dilated Neighborhood Attention Transformer (DiNAT). This model enhances global context recognition and substantially expands receptive fields, all without additional computational burden. Our results demonstrate that DiNAT-MSI achieves a superior patientwise AUROC compared to ResNet18 and Swin Transformer, along with commendable explainability. Our work not only illustrates a more accessible diagnostic tool for leveraging histological data but also underscores the potential of Transformerbased models with sophisticated attention designs in advancing precision medicine for colorectal cancer patients.

关键词： Attention mechanisms Histopathology Computational modeling Precision medicine Small satellites Immunotherapy Colorectal cancer Predictive models Transformers Genetics

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Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers

arXiv

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arXiv 2025年

作者： Chen, Kuan-Cheng Chen, Samuel Yen-Chi Liu, Chen-Yu Leung, Kin K. Department of Electrical and Electronic Engineering Imperial College London London United Kingdom Imperial College London London United Kingdom Wells Fargo New YorkNY United States Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan

In this work, we introduce a Distributed Quantum Long Short-Term Memory (QLSTM) framework that leverages modular quantum computing to address scalability challenges on Noisy Intermediate-Scale Quantum (NISQ) devices. By embedding variational quantum circuits into LSTM cells, the QLSTM captures long-range temporal dependencies, while a distributed architecture partitions the underlying Variational Quantum Circuits (VQCs) into smaller, manageable subcircuits that can be executed on a network of quantum processing units. We assess the proposed framework using nontrivial benchmark problems such as damped harmonic oscillators and Nonlinear Autoregressive Moving Average sequences. Our results demonstrate that the distributed QLSTM achieves stable convergence and improved training dynamics compared to classical approaches. This work underscores the potential of modular, distributed quantum computing architectures for large-scale sequence modeling, providing a foundation for the future integration of hybrid quantum-classical solutions into advanced Quantum High-performance computing (HPC) ecosystems. © 2025, CC BY.

关键词： Quantum computers

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Contextuality, Coherences, and Quantum Cheshire Cats

arXiv

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arXiv 2023年

作者： Hance, Jonte R. Ji, Ming Hofmann, Holger F. Department of Quantum Matter Graduate School of Advanced Science and Engineering Hiroshima University Kagamiyama 1-3-1 Higashi Hiroshima739-8530 Japan Quantum Engineering Technology Laboratories Department of Electrical and Electronic Engineering University of Bristol Woodland Road BristolBS8 1US United Kingdom

We analyse the quantum Cheshire cat using contextuality theory, to see if this can tell us anything about how best to interpret this paradox. We show that this scenario can be analysed using the relation between three different measurements, which seem to result in a logical contradiction. We discuss how this contextual behaviour links to weak values, and coherences between prohibited states. Rather than showing a property of the particle is disembodied, the quantum Cheshire cat instead demonstrates the effects of these coherences, which are typically found in pre- and postselected systems. © 2023, CC BY.

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