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2024 International Telecommunications Conference, ITC-Egypt 2024

作者： El-Sheikh, Mohamed M. Bayoumy, Aya Ahmed, Nada M. Mohamed Eldeeb, Amany Rabea, Fatma I. Nawar, Amira A. Khattap, Mohamed G. Galal Eldeen Mohamed Ali Hassan, Hend Mostafa, Mariam Ibrahim, Nayra Ramadan, Reem Refaat, Yomna Khaled, Mennatallah Maher, Ali Abd Elaziz, Mohamed Gamal Abdellatif Ibrahim, Ahmed Radiology and Medical Imaging Faculty of Applied Health Sciences Galala University Suez435611 Egypt Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Artificial Intelligence Science Program Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Air Defense College Department of Electronics and Electrical Communications Engineering Alexandria Egypt

ISBN: (纸本)9798350351408

This paper introduces an alternative technique for diagnosing Acute Ischemic Stroke within the IoMT environment. In the proposed approach, the collected data is transmitted to a cloud-based center where the technique utilizes EfficientNet, a deep learning model, designed to extract features from MRI images thereby enhancing the detection of acute ischemic infarctions. The performance of EfficientNet is compared against two other models, CNN and MobileNet, demonstrating its superior efficacy through metrics such as accuracy, precision, recall, and F1-score, which stand at 92.31%, 92.28%, 92.33%, and 92.30%, respectively. © 2024 IEEE.

关键词： Contrastive Learning

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Few-Shot Class-Incremental Learning with Non-IID Decentralized Data

arXiv

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arXiv 2024年

作者： Liu, Cuiwei Xu, Siang Qiu, Huaijun Zhang, Jing Liu, Zhi Zhao, Liang The Department of Computer Science The Shenyang Aerospace University Shenyang China The Department of Computer and Network Engineering The University of Electro-Communications Tokyo Japan

Few-shot class-incremental learning is crucial for developing scalable and adaptive intelligent systems, as it enables models to acquire new classes with minimal annotated data while safeguarding the previously accumulated knowledge. Nonetheless, existing methods deal with continuous data streams in a centralized manner, limiting their applicability in scenarios that prioritize data privacy and security. To this end, this paper introduces federated few-shot class-incremental learning, a decentralized machine learning paradigm tailored to progressively learn new classes from scarce data distributed across multiple clients. In this learning paradigm, clients locally update their models with new classes while preserving data privacy, and then transmit the model updates to a central server where they are aggregated globally. However, this paradigm faces several issues, such as difficulties in few-shot learning, catastrophic forgetting, and data heterogeneity. To address these challenges, we present a synthetic data-driven framework that leverages replay buffer data to maintain existing knowledge and facilitate the acquisition of new knowledge. Within this framework, a noise-aware generative replay module is developed to fine-tune local models with a balance of new and replay data, while generating synthetic data of new classes to further expand the replay buffer for future tasks. Furthermore, a class-specific weighted aggregation strategy is designed to tackle data heterogeneity by adaptively aggregating class-specific parameters based on local models performance on synthetic data. This enables effective global model optimization without direct access to client data. Comprehensive experiments across three widely-used datasets underscore the effectiveness and preeminence of the introduced framework. Copyright © 2024, The Authors. All rights reserved.

关键词： Federated learning

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Spectral-Efficient Downlink Systems under Imperfect SIC and CSI: MC-NOMA or Partial NOMA?

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IEEE Wireless communications Letters 2024年第1期13卷 133-137页

作者： Katwe, Mayur Singh, Keshav Li, Chih-Peng Ding, Zhiguo Institute of Communications Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates The University of Manchester School of Electrical and Electronic Engineering ManchesterM13 9PL United Kingdom

This letter investigates a scalable hybrid non-orthogonal multiple access (NOMA) scheme termed partial NOMA (pNOMA) based on the partial sharing of the frequency resources among the users. In particular, we aim to design a spectrally-efficient multi-user downlink scheme under imperfect successive interference cancellation (SIC) and channel state information (CSI) via a joint control on the power allocation and bandwidth overlap for all users. In particular, we formulate the joint optimization problem of the power allocation for each user and channel allocation for overlapped and non-overlapped signals and later solve it using a meta-heuristic search-based differential evolution algorithm. Simulation results validate that the considered pNOMA scheme flexibly integrates OMA and multi-channel NOMA schemes, and outperforms them in terms of the sum rate under stochastic imperfection in SIC and CSI. © 2012 IEEE.

关键词： Channel state information

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Performance Analysis of an Artificial Intelligence Nanosystem with Biological Internet of Nano Things

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computer Modeling in engineering & Sciences 2022年第10期133卷 111-131页

作者： Saied M.Abd El-atty Nancy A.Arafa Atef Abouelazm Osama Alfarraj Konstantinos A.Lizos Farid Shawki Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufEgypt Computer Science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia Department of Informatics Faculty of Mathematics and Natural SciencesUniversity of Oslo(UiO)OsloNorway

Artificial intelligence(AI)has recently been used in nanomedical applications,in which implanted intelligent nanosystems inside the human body were used to diagnose and treat a variety of ailments with the help of the Internet of biological Nano Things(IoBNT).Biological circuit engineering or nanomaterial-based architectures can be used to approach the *** nanomedical applications,the blood vascular medium serves as a communication channel,demonstrating a molecular communication system based on flow and *** paper presents a performance study of the channel capacity for flow-based-diffusive molecular communication nanosystems that takes into account the ligand-receptor binding *** earlier studies,we take into account the effects of biological physical characteristics such as blood pressure,blood viscosity,and vascular diameter on channel ***,in terms of drug transmission error probability,the inter-symbol interference(ISI)phenomenon is applied to the proposed *** numerical results show that the proposed AI nanosystems-based IoBNT technology can be successfully implemented in future nanomedicine.

关键词： Nanosystem AI Internet of biological Nano Things(IoBNT) channel capacity

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Tuning Quantum Computing Privacy through Quantum Error Correction

Tuning Quantum Computing Privacy through Quantum Error Corre...

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2024 IEEE Global communications Conference, GLOBECOM 2024

作者： Zhong, Hui Ju, Keyi Sistla, Manojna Zhang, Xinyue Li, Aohan Qin, Xiaoqi Fu, Xin Pan, Miao University of Houston Department of Electrical and Computer Engineering HoustonTX77204 United States Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Kennesaw State University Department of Computer Science MariettaGA30060 United States The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo1828585 Japan

ISBN: (纸本)9798350351255

Quantum computing is a promising paradigm for efficiently solving large and high-complexity problems. However, ensuring privacy within this quantum computing necessitates innovative approaches. Existing research has introduced the concept of quantum differential privacy (QDP) to protect data privacy in quantum computing by leveraging quantum noise. Yet, this method faces limitations due to the fixed and uncontrollable nature of the inherent noise, which directly affects the privacy budget of QDP. Addressing this critical gap, our study proposes a novel approach that utilizes quantum error correction (QEC) techniques not only to mitigate quantum computing errors but also to adjust QDP protection levels precisely. By selectively applying QEC to single or multiple qubit gates, we introduce a method to manipulate the quantum noise error rate effectively. Moreover, we derive a new formula for calculating the overall error rate in a quantum circuit and the adjusted privacy budget after QEC operation. Through extensive numerical simulations, we validate the efficacy of utilizing QEC in tuning privacy protection levels within quantum computing. © 2024 IEEE.

关键词： Quantum noise

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An Efficient Algorithm and Quantization for Fully Distributed Sequential Change Detection

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IEEE Transactions on communications 2023年第10期71卷 6088-6099页

作者： Hsu, Min-Xiang Huang, Yu-Chih Li, Wen-Hsuan Chu, Che-Fu Wu, Pin-Jui National Yang Ming Chiao Tung University Institute of Communications Engineering Hsinchu30010 Taiwan MediaTek Inc. Hsinchu30078 Taiwan University of Washington Department of Electrical and Computer Engineering SeattleWA98195 United States Novatek Microelectronics Corporation Hsinchu300092 Taiwan

The problem of fully distributed sequential change detection (FDSCD) is studied, where a bunch of distributed sensors collaboratively detect the occurrence of an abrupt event without the help of a fusion center. Due to the distributed nature, each sensor determines whether the event has occurred according to their own observations and messages received from their neighbors through noiseless links with finite capacity. In this paper, a novel algorithm is proposed for FDSCD that views every sensor as a fusion center and mimics the behavior of the cumulative sum (CUSUM) algorithm that is optimal in the presence of fusion center. One crucial factor in the proposed algorithm is the weighting factors that reduce the influence of stale messages circulated in the network. Design of these weighting factors based on genetic algorithms is provided. Quantizer design is also studied to meet the finite capacity constraint. Two designs are proposed where the first one numerically maximizes the total output Kullback-Leibler divergence and the second one again exploits the genetic algorithms. Extensive simulations are conducted whose results show that the proposed algorithm outperforms the current state-of-art in terms of the tradeoff between expected delay and average run length to a false alarm. © 1972-2012 IEEE.

关键词： Genetic algorithms

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Simulation of a Pick and Place System for Electronic Cards Using a YuMi Cobot

Simulation of a Pick and Place System for Electronic Cards U...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Derrick L. Sze Rosula S.J. Reyes Patricia Angela R. Abu Department of Electronics Computer and Communications Engineering Department of Information Systems and Computer Science Ateneo de Manila University Quezon City Philippines

ISBN: (数字)9798350394245

ISBN: (纸本)9798350394252

Collaborative Robots are one of the main drivers of Industry 4.0, which started as a vision focusing on industrial production. It addresses several challenges in the current manufacturing industry such as performing repetitive work and requiring highly skilled workers. The goal of the research is to be able to simulate a pick and place environment with electronic cards using a YuMi cobot and mobile platforms in Coppeliasim. The mobile robot is responsible for transporting the electronic cards to the target location through path planning implemented using the OMPL plug-in. After arriving at the target location, YuMi will then perform the pick and place task from vertically stacked cards through inverse kinematics. Use cases were considered on the chosen mobile platform and robotic arms to determine the capabilities and limitations of the hardware involved. In addition, the total power consumption was obtained for energy assessment when the setup is performed in a real-world setting. For this particular setup, the fourth joint starting from the base consumed the most power and is therefore the primary target for optimization.

关键词： Manufacturing industries Power demand Collaborative robots Production Kinematics Manipulators Path planning

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Sensing Metric-Based Hybrid Underlay/Overlay Transmission Framework for CR-IoT Networks for Smart City Applications 7

Sensing Metric-Based Hybrid Underlay/Overlay Transmission Fr...

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7th IET Smart Cities Symposium, SCS 2023

作者： Bala, Indu Mijwil, Maad M. Abotaleb, Mostafa El-Kenawy, El-Sayed M. Ibrahim, Abdelhameed School of Electrical and Electronics Engineering Lovely Professional University Punjab India Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

With the increasing number of IoT devices, there is a growing need for bandwidth to support their communication. Unfortunately, there is a shortage of available bandwidth due to preallocated bands for various services. To address this issue, Cognitive Internet of Things (CR-IoT) enables devices to optimize their efficiency and enhance their communication capabilities by intelligently accessing available bandwidth. This is achieved through the use of soft sensing metrics, where devices continuously monitor the RF environment and transmit data opportunistically in overlay mode if a free channel is detected, or in underlay mode if not. In this paper, a soft sensing metric based hybrid transmission framework is proposed for CR-IoT devices to meet the data rate requirement for the smart city applications. The efficacy of this approach is demonstrated through simulation results. © The Institution of engineering & Technology 2023.

关键词： Smart city

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Study of Mobile Satellite communications Employing PDMA with SIC

Study of Mobile Satellite Communications Employing PDMA with...

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IEEE Conference on Wireless communications and Networking

作者： Keisuke Shindo Kazutoshi Yoshii Shigeru Shimamoto Department of Communications and Computer Engineering School of Fundamental Science and Engineering Waseda University Tokyo Japan

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

The number of terminals connected to the satellite network is expected to increase, influenced by the recent increase in communication requirements. Since the delay time cannot be ignored in links between geostationary orbit satellites and ground stations, a multiple access scheme that can accommodate many stations while minimizing retransmissions is required. In this paper, we propose a protocol for mobile satellite communications that aims to achieve low latency and high reliability by applying Successive Interference Cancellation (SIC) to Power Level Division Multiple Access (PDMA) using power and time domains. As one of the use cases, an urban model with traffic signals and buses as relay stations was assumed. First, we conducted a theoretical evaluation of communication quality and confirmed that PDMA achieves higher spectrum efficiency than conventional schemes. Then, we conducted simulations assuming the actual urban environment based on the Line of Sight duration and other factors to compare the performance of the proposed method with that of other multiple access schemes. The results showed that the proposed method reduced the delay by about 70% and reached higher throughput compared to the conventional scheme, even when using a lower level primary modulation scheme.

关键词： Interference cancellation Satellites Protocols Urban planning Reliability theory Throughput Delays

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Multi-Controller Architecture Design and Features in Software - Defined Networking (SDN) 6

Multi-Controller Architecture Design and Features in Softwar...

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Prabhu, V. Balamurugan, P. Department of Computer Science and Engineering School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamilnadu Chengalpattu603 203 India Department of Networking and Communications School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamilnadu Chengalpattu603 203 India

ISBN: (纸本)9798331522667

Networking paradigm known as "Software-Defined Networking" (SDN) offers more flexibility with network management and is fast gaining popularity. Separating the control plane from the data plane is largely responsible for this success. In SDN-enabled networks, a centralized controller is used to translate high-level network application requirements into low-level directives that are issued to the forwarding devices. Such the controller requires limited ability to react to the request for flow processing generated by forwarding devices. Whenever an SDN-enabled network expands in terms of size or as a network traffic rises, flow processing demands can’t be able to fulfill by a single centralized controller. This causes a controller's performance to decline, which eventually results in a malfunctioning SDN-enabled network. Implementing a multi-controller architecture, in which a number of controllers cooperate to manage a sizable amount of network traffic and flow processing requirements, would be a successful strategy. The introduction of a multi-controller architecture and a consideration of the problems with its scalability, coherence as well as accessibility make up the core contribution of this study. Additionally, it identifies areas where study in this area could still be done. © 2025 IEEE.

关键词： Scalability

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