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2nd International Conference on 6G Networking, 6GNet 2023

作者： Djuitcheu, Hubert Mallikarjun, Sachinkumar Bavikatti Habibi, Mohammad Asif Kuruvatti, Nandish P. Schotten, Hans D. Division of Wireless Communications and Radio Navigation Department of Electrical and Computer Engineering Kaiserslautern67663 Germany Kaiserslautern67663 Germany

ISBN: (纸本)9798350306736

Private 5G campus networks promise to revolutionise the industrial sector by enabling communication services with high reliability, extremely low latency, high capacity, lower complexity, longer battery-life devices, and high user density according to the well-known use cases URLLC, mMTC, and eMBB. Their installation in complex and mixed environment presents a range of security issues, which have a direct impact on their smooth operation. This work aims to provide a concise overview of the current state of securing 5G campus networks. It discusses the unique security requirements of these networks compared to conventional 5G networks, emphasizing the differences. Additionally, this work outlines specific attacks targeting campus networks and examines the associated security challenges. © 2023 IEEE.

关键词： 5G mobile communication systems

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Comparative Analysis of Self-Injection and External Cavity Locking Influenced by Linewidth Enhancement Factor 16

Comparative Analysis of Self-Injection and External Cavity L...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Prokoshin, Artem Chow, Weng W. Wan, Yating Computer Electrical and Mathematical Sciences and Engineering Division Thuwal23955-6900 Saudi Arabia Sandia National Laboratories AlbuquerqueNM87185 United States

We compare self-injection locking and external cavity locking for linewidth reduction in semiconductor lasers with varying linewidth enhancement factors (LEFs). Results indicate the optimal narrowing technique is dete... 详细信息

ISBN: (纸本)9798350372076

关键词： Linewidth

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Machine learning assisted plasmonic metascreen for enhanced broadband absorption in ultra-thin silicon films

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光：科学与应用（英文版） 2025年第2期14卷 411-421页

作者： Waqas W.Ahmed Haicheng Cao Changqing Xu Mohamed Farhat Muhammad Amin Xiaohang Li Xiangliang Zhang Ying Wu Division of Computer Electrical and Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia College of Engineering Taibah UniversityMadinah 42353Saudi Arabia Division of Computer Electrical and Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Division of Physical Science and Engineering King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Division of Computer Electrical and Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Department of Computer Science and Engineering University of Notre DameNotre DameIN 46556USA

We propose and demonstrate a data-driven plasmonic metascreen that efficiently absorbs incident light over a wide spectral range in an ultra-thin silicon *** embedding a double-nanoring silver array within a 20 nm ultrathin amorphous silicon(a-Si)layer,we achieve a significant enhancement of light *** enhancement arises from the interaction between the resonant cavity modes and localized plasmonic modes,requiring precise tuning of plasmon resonances to match the absorption region of the silicon active *** facilitate the device design and improve light absorption without increasing the thickness of the active layer,we develop a deep learning framework,which learns to map from the absorption spectra to the design *** inverse design strategy helps to tune the absorption for selective spectral *** optimized design surpasses the bare silicon planar device,exhibiting a remarkable enhancement of over 100％.Experimental validation confirms the broadband enhancement of light absorption in the proposed *** proposed metascreen absorber holds great potential for light harvesting applications and may be leveraged to improve the light conversion efficiency of ultra-thin silicon solar cells,photodetectors,and optical filters.

关键词： silicon learning absorption assisted broadband enhanced films machine metascreen plasmonic

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Learning orientation detection system and its application to RGB images

Learning orientation detection system and its application to...

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2024 International Conference on Optics, Electronics, and Communication engineering, OECE 2024

作者： Chen, Tianqi Qiu, Zhiyu Hua, Yuxiao Todo, Yuki Tang, Zheng Division of Electrical Engineering and Computer Science Graduate School of Natural Science & Technology Kanazawa University Ishikawa Kanazawa920-1152 Japan Faculty of Electrical Information and Communication Engineering Kanazawa University Ishikawa Kanazawa920-1192 Japan Faculty of Engineering University of Toyama Toyama930-8555 Japan

ISBN: (纸本)9781510685437

Our previous research showed that emulating dendritic neuron structure effectively addresses orientation detection challenges in learning tasks, reducing both learning time and costs compared to alternative neural network approaches. Our simulation model incorporates an On-Off Response mechanism in bipolar cells (BCs) and horizontal cells (HCs) for processing grayscale input images. To overcome limitations with single-channel input, we introduce color-selective cells. By integrating these cells, we enhance and select outputs of local orientation detection dendritic neurons, generating specific feature maps. These feature maps are generated using a biologically-inspired model that mimics the mechanism of color-selective cells. Additionally, global neurons are used to capture overall image features by aggregating outputs from local dendritic neurons. Our system utilizes backpropagation to update parameters of local orientation detection dendritic neurons. Furthermore, we integrate a learnable orientation detection neural network after the dendritic neuron stage. © 2024 SPIE.

关键词： RGB color model

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PNP-Lightweight Model for Predicting Remaining Useful Life of Lithium-Ion Battery to Applying Embedded Systems 7

PNP-Lightweight Model for Predicting Remaining Useful Life o...

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7th International Conference on System Reliability and Safety, ICSRS 2023

作者： Bak, Gwi-Man Lee, Eun-Seo Bae, Young-Chul Chonnam National University Department of Electrical and Semiconductor Yeosu Korea Republic of Chonnam National University Division of Electrical and Computer Engineering Yeosu Korea Republic of

ISBN: (纸本)9798350306057

This paper proposes a Positive & Negative Perceptron (PNP)-Lightweight model prediction method for the Remaining Useful Life (RUL) prediction of Lithium-Ion Battery (LIB) for use in low computation environments such as smartphones and embedded systems. The PNP-Lightweight model is based on the PNP model and has a very low number of trainable parameters. We present a PNP-Lightweight model that can predict the RUL of the LIB using the charge and discharge data of the initial LIB. To prove the superiority of the proposed PNP- Lightweight model, we perform the performance evaluation compared with Long short-term memory (LSTM) and Convolution Neural Network (CNN) models. We build Deep-learning Model using the PNP-Lightweight model (DMP), Deep-learning Model using the LSTM model (DML) and Deep-learning Model using the CNN model (DMC) that can predict the RUL of LIB using the LIB's initial charge and discharge data. To evaluate fairly, we organize the same number of layers and the number of nodes in the hidden layer of the three deep-learning models (DMP, DML, and, DMC) As a result of the performance evaluation, we know that the number of trainable parameters of the DMP is 30 times lower than that of DML and 60 times lower than the DMC. We confirm that the DMP has a lower Root Mean Square Error (RMSE) by 16.18 [cycle] and 3.03 [cycle] compared to the DML and DMC, respectively. In addition, the Symmetric Mean Absolute Percentage Error (SMAPE) of the DMP is 3.6% and 3.96% lower than the DML and DMC, respectively. In addition, we also compare the performance between proposed DMP and CNN+LSTM model. We recognize that performance of proposed DMP is superior to CNN+LSTM model. © 2023 IEEE.

关键词： Lithium-ion batteries

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A 8Gb/s PAM-4/NRZ Dual-Mode Transmitter for Panel Interfaces with Run-length Limited Maximum Transition 37

A 8Gb/s PAM-4/NRZ Dual-Mode Transmitter for Panel Interfaces...

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37th IEEE International System-on-Chip Conference, SOCC 2024

作者： Kim, Goeun Chang, Younghwan Jeong, YongUn Kim, Suhwan S.LSI Business Division Samsung Electronics Korea Republic of Seoul National University Deparment of Electrical and Computer Engineering Korea Republic of Sejong University Department of Semiconductor Systems Engineering Korea Republic of

ISBN: (纸本)9798350377569

This paper presents a 8Gb/s four-level pulse amplitude modulation (PAM-4) /non-return-to-zero (NRZ) dual-mode transmitter. The transmitter implements a 8B/5S PAM-4 run-length limited maximum transition avoidance (RLL-MTA) encoding method for panel interfaces. RLL-MTA encoding eliminates maximum transitions and restricts run-length to 4 to reduce DC wander in PAM-4 signaling, which is employed in the clock data recovery (CDR) used on the receiver. The transmitter utilizes a 4-tap feedforward equalizer (FFE) for NRZ and a 2-tap FFE for PAM-4. Implemented in 28nm CMOS technology, the transmitter occupies a 0.0506mm2 active area and exhibits power efficiency, with 2.17pJ/b for PAM-4 and 3.23pJ/b for NRZ. © 2024 IEEE.

关键词： Transmitters

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Sign-Based Distributed Learning with Byzantine Resilience based on Audit Mechanism

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IEEE Transactions on Information Forensics and Security 2025年 20卷 5774-5788页

作者： Li, Chengxi Xiao, Ming Skoglund, Mikael KTH Royal Institute of Technology Division of Information Science and Engineering School of Electrical Engineering and Computer Science Stockholm 10044 Sweden

In this paper, we study the problem of distributed learning (DL) with devices transmitting sign information of the local gradients to the server under communication constraints, where the devices are susceptible to Byzantine attacks. For this problem, a sign-based gradient descent method with majority vote and stochastic 1-bit quantization (Sign-M-stochastic) has been proposed very recently. However, the Byzantine resilience of Sign-M-stochastic is inherently limited, based on the fact that all Byzantine devices and honest devices participate equally in the training process. To overcome this drawback and enhance the resilience to Byzantine attacks, inspired by the audit-based distributed detection systems, we propose a novel DL method with an audit mechanism (DL-AM). In each iteration, the sign information of the local gradients are obtained by the devices from stochastic 1-bit quantization. All devices, partitioned into groups, send the sign information to the server through multiple paths, both directly and via other devices in the same group. This approach provides the server with additional information about the identities of the devices, which enables the server to form the global model update by aggregating the sign information of different devices with varying weights. We analyze the convergence performance of the proposed method from a theoretical perspective. Finally, numerical results demonstrate the superiority of DL-AM over the baseline methods. © 2005-2012 IEEE.

关键词： Audit mechanism Byzantine resilience convergence analysis distributed learning sign information

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Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions: a Test Bed for Safe Optimal Merging

Optimal Control of Connected Automated Vehicles with Event-T...

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2023 IEEE Conference on Control Technology and Applications, CCTA 2023

作者： Sabouni, Ehsan Ahmad, H.M. Sabbir Xiao, Wei Cassandras, Christos G. Li, Wenchao Boston University Division of Systems Engineering Department of Electrical & Computer Engineering BostonMA United States Massachusetts Institute of Technology Computer Science & Artificial Intelligence Laboratory CambridgeMA United States

ISBN: (纸本)9798350335446

We address the problem of safely coordinating a network of Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network. Such problems can be solved through a combination of tractable optimal control problems and Control Barrier Functions (CBFs) that guarantee the satisfaction of all constraints. These solutions can be reduced to a sequence of Quadratic Programs (QPs) which are efficiently solved online over discrete time steps. However, guaranteeing the feasibility of the CBF-based QP method within each discretized time interval requires the careful selection of time steps which need to be sufficiently small. This creates computational requirements and communication rates between agents which may limit the controller's application to real CAVs. We tackle this limitation by adopting an event-triggered control approach for CAVs such that the next QP is triggered by properly defined events with a safety guarantee. We present a laboratory-scale test bed developed to emulate merging roadways using mobile robots as CAVs. We present results to demonstrate how the event-triggered scheme is computationally efficient and can handle measurement uncertainties and noise compared to time-driven control while guaranteeing safety. © 2023 IEEE.

关键词： Merging

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An Augmented Reality Technology in Indoor Navigation for Smart Museum Using Bluetooth Low Energy Communication 11

An Augmented Reality Technology in Indoor Navigation for Sma...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Tresnawati, Dewi Mulyani, Asri Nugraha, Cepi Fitriani, Leni Lestari, Nina Nugraha, Dani Institut Teknologi Garut Department of Computer Science Garut Indonesia Universitas Sangga Buana Faculty of Engineering Department of Electrical Engineering Bandung Indonesia Darma Henwa Tbk Division of IT Digital Transformation Jakarta Indonesia

ISBN: (纸本)9798350389654

Large buildings like museum generally have multiple rooms, necessitating efficient directional information services to ensure visitors receive accurate location details. However, traditional information services often fail to convey the necessary information effectively. Indoor navigation addresses this issue by providing real-time navigation within rooms or spaces, identifying the position of objects or people. This study aims to enhance indoor navigation by implementing smart technology, enabling users to locate rooms within large buildings quickly. The application developed utilizes Augmented Reality (AR) technology, interfaced with Bluetooth Low Energy (BLE) signals emitted from an ESP32 Microcontroller, serving as location points. The methodology adopted in this study follows the Multimedia Development Life Cycle, encompassing six stages: Concept, Design, Material Collecting, Assembly, Testing, and Distribution. The results demonstrate the successful integration of AR technology in indoor navigation, using microcontrollers as location markers and BLE for seamless communication between the AR interface and microcontroller. This smart technology application significantly improves user experience by providing intuitive and accurate indoor navigation. © 2024 IEEE.

关键词： Bluetooth

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Electromagnetic Imaging of Rough Dielectric Surface Profiles using a Single-Frequency Reverse Time Migration Method

Electromagnetic Imaging of Rough Dielectric Surface Profiles...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

作者： Sefer, Ahmet Yapar, Ali Bagci, Hakan Division of Computer Electrical and Mathematical Science and Engineering Thuwal23955 Saudi Arabia Işik University Department of Electrical and Electronics Engineering Istanbul34980 Turkey Istanbul Technical University Department of Electronics and Communications Engineering Istanbul34469 Turkey

ISBN: (纸本)9781665442282

An electromagnetic imaging scheme, which makes use of a single-frequency reverse time migration (RTM) technique to reconstruct two-dimensional (2D) rough surface profiles from the scattered field data, is formulated and implemented. The unknown surface profile, which is expressed as a one-dimensional height function, is the interface between two dielectric media. It is assumed that the profile is illuminated from one side and the scattered fields are 'measured' along a line on this same side. RTM is used to construct a cross-correlation imaging functional that is numerically evaluated to yield an image of the investigation domain. The maxima of this functional yields an accurate reconstruction of the rough dielectric surface profile. © 2023 IEEE.

关键词： Inverse problems

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