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2023 International Conference on Energy, Materials and communication engineering, ICEMCE 2023

作者： Karthikeyan, D. Nivasini, R. Raja, Kiruba Thangam Madhivadhani, D. Sivakumar, B. Krishna Priya, A.T.R. Srm Institute of Science and Technology Department of Electrical and Electronics Engineering Kattankulathur Chennai India Iitm Research Park Guvi Geek Networks Tamilnadu Chennai India Vit University School of Computer Science Engineering and Information Systems Department of Software and Systems Engineering Vellore India Kings Engineering College Department of Electronics and Communication Engineering Sriperumbudur Chennai India Rohini College of Engineering and Technology Department of Computer Science and Engineering Kanyakumari India

ISBN: (纸本)9798350393378

Magnetic resonance imaging (MRI) has been used to study the structural makeup of the brain and analyse several neurological disorders and diseased areas. For the adoption of preventative measures, early recognition of Alzheimer's disease (AD) patients is essential. Here, a thorough inspection of the tissue arrangements obtained by MRI images of Outcome and Assessment Information (OASIS) dataset enables an exact characterization of certain brain diseases. There have been a number of division techniques for diagnosing AD that range in complexity. Compassion has been tested by deep learning techniques used to segment the structure of the brain and classify AD because they have the potential to uncover important information from vast amounts of data. In this paper the deep learning technique of Hybrid Dragonfly based GWO convolutional Neural Network (CNN) is achieved promising result for the diagnosis of AD. At image preprocessing wiener filter is used for removing the additive noises and the Gray Level Co-Occurrence Matrix (GLCM) extraction is implemented for texture analyzing. As a result, hybrid deep learning methods of CNN has the accuracy as 90% and the result of the image prediction are presented in this paper. © 2023 IEEE.

关键词： Magnetic resonance imaging

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FERI: Feature Enhancement and Relational Interaction for Image-text Matching 30

FERI: Feature Enhancement and Relational Interaction for Ima...

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30th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2024

作者： Zhang, Yu Zhang, Jianqiang Song, Gongpeng Lu, Qin Zhao, Shuo Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China Shandong Branch of China Mobile Communication Group Design Institute Co. Jinan China

ISBN: (纸本)9798331515966

Image-text matching is an important problem at the intersection of computer vision and natural language processing. It aims to establish the semantic link between image and text to achieve high-quality semantic alignment between the two modalities. However, the existing methods have the problem that the meaning expressed in the image or the complex narrative in the text cannot be fully understood due to insufficient feature extraction. Moreover, due to the essential modal differences between images and texts, how to effectively and accurately align the semantic contents in images and texts has become the key of research. In order to solve the above problems, this paper proposes a method based on feature enhancement and relationship interaction. When processing images, the proposed method fuses labeled features, region features and location features to represent images. When processing text, a combination of Bi-GRU and self-attention mechanism is used to represent the text. In order to further align the semantic content in images and texts accurately, this paper improves two relational interaction mechanisms by identifying connection relationships and learning association relationships. Thus, the relation enhanced embedding is obtained. Finally, it calculated the similarity of the enhanced embedding to judge the matching degree of the image and text. Extensive experiments on the public datasets Flickr30K and MSCOCO demonstrate the effectiveness of our method. © 2024 IEEE.

关键词： cross-modal retrieval feature enhancement image-text matching relationship interaction

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SMGC-SBERT: A Multi-Feature Fusion Chinese Short Text Similarity Computation Model Based on Optimised SBERT

SMGC-SBERT: A Multi-Feature Fusion Chinese Short Text Simila...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Zhao, Shuo Gu, Qiliang Zhang, Jianqiang Song, Gongpeng Lu, Qin Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China Shandong Branch of China Mobile Communication Group Design Institute Co. Jinan China

ISBN: (纸本)9781665410205

Chinese short text similarity computation stands as a pivotal task within natural language processing, garnering significant attention. However, existing models grapple with limitations in handling intricate semantic relationships, such as the challenge of discerning subtle semantic nuances in text, inadequacies in effectively integrating diverse levels of semantic information, and the struggle to capture polysemous meanings accurately. In addressing these issues, this paper introduces an innovative Chinese short text similarity computation model, SMGC-SBERT. This model addresses shortcomings of the existing models by employing a multi-module fusion strategy, thereby enabling a more precise measurement of semantic similarity between texts. Primarily, the model incorporates SAT embedding to acquire phrase-level semantic information and leverages the MS-BERT model to encode text, improving the model's comprehension of textual polysemy and obtaining richer semantic representation. Then, the fusion of module features, including multi-branch convolutional networks and mix pooling, enables the extraction of textual features from varied levels, bolstering the model's representational capacity. Additionally, to further reduce overfitting risks while improving accuracy and other performance, a multi-layer feature adjustment network is utilized for short text similarity calculation. The final resultant experimental findings showcase the superiority of the SMGC-SBERT model over other neural network models, demonstrating significant advancements across both Chinese-SNLI and CCKS2018_Task3 Chinese short text datasets. © 2024 IEEE.

关键词： Semantics

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Tactile Network Resource Allocation Enabled by Quantum Annealing Based on ILP Modeling 4

Tactile Network Resource Allocation Enabled by Quantum Annea...

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4th IEEE International Conference on Quantum Computing and engineering, QCE 2023

作者： Witt, Arthur Körber, Christopher Kirstädter, Andreas Luu, Thomas Institute of Communication Networks and Computer Engineering University of Stuttgart Stuttgart Germany Ruhr-University Bochum Institute of Theoretical Physics Ii Bochum Germany Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems Ieg Bochum Germany Jara Hpc Forschungszentrum Jülich Jülich Germany

ISBN: (纸本)9798350343236

Agile networks with fast adaptation and reconfiguration capabilities are required for on-demand provisioning of various network services. We propose a new methodical framework for short-time network optimization based on quantum computing (QC) and integer linear program (ILP) models, which has the potential of realizing a real-time network automation. We define methods to map a nearly real-world ILP model for resource provisioning to a quadratic unconstrained binary optimization (QUBO) problem, which is solvable on quantum annealer (QA). We concentrate on the three-node network to evaluate our approach and its obtainable quality of solution using the state-of-the-art quantum annealer D-Wave Advantage™ 5.2/5.3. By studying the annealing process, we find annealing configuration parameters that obtain feasible solutions close to the reference solution generated by the classical ILP-solver CPLEX. Further, we studied the scaling of the network problem and provide estimations on quantum annealer's hardware requirements to enable a proper QUBO problem embedding of larger networks. We achieved the QUBO embedding of networks with up to 6 nodes on the D-Wave Advantage™. According to our estimates a real-sized network with 12 to 16 nodes require a QA hardware with at least 50000 qubits or more. © 2023 IEEE.

关键词： Resource allocation

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Performance Evaluation of High Gain 2×2 MIMO Microstrip Antenna Operating at 28 GHz 2

Performance Evaluation of High Gain 2×2 MIMO Microstrip Ant...

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2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2022

作者： Ismail, Alyani Binti Rasid, M.F.A. Hamidon, Mohd Nizar B Abdullah, Raja Syamsul. A. Raja Shebani, Nafaa Mohamad Universiti Putra Malaysia Wireless and Photonics Networks Research Centre Department of Computer and Communication Systems Engineering Faculty of Engineering Serdang Malaysia Universiti Putra Malaysia Institute of Nanoscience and Nanotechnology Department of Electrical and Electronic Engineering Faculty of Engineering Serdang Malaysia

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

In this paper, four configurations of 2×2 MIMO microstrip antenna operating at 28 GHz are proposed and simulated by computer Simulation Technology (CST) software. The antenna is designed on PTFE/Teflon substrate with dielectric constant of 2.1, loss tangent of 0.0002, and thickness of 1.58 mm. The performance of all proposed configurations of 2×2 MIMO antennas are evaluated based on the overall gain, envelope correlation coefficient (ECC), and diversity gain (DG). Moreover, the comparison between all cases in this work is done in order to choose the optimal configuration, and to prove the reliability of the design the best obtained case is compared with proposed antennas in published works. © 2022 IEEE.

关键词： Microstrip antennas

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Green UAV communications for 6G: A survey

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Chinese Journal of Aeronautics 2022年第9期35卷 19-34页

作者： Xu JIANG Min SHENG Nan ZHAO Chengwen XING Weidang LU Xianbin WANG School of Information and Communication Engineering Dalian University of TechnologyDalian 116024China State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an 710071China School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China College of Information Engineering Zhejiang University of TechnologyHangzhou 310023China Department of Electrical and Computer Engineering Western UniversityLondon.ON N6A 5B9Canada

Unmanned Aerial Vehicles(UAVs) have received a wide range of attention for military and commercial applications. Enhanced with communication capability, UAVs are considered to play important roles in the Sixth Generation(6G) networks due to their low cost and flexible deployment. 6G is supposed to be an all-coverage network to provide ubiquitous connections for space, air, ground and underwater. UAVs are able to provide air-borne wireless coverage flexibly,serving as aerial base stations for ground users, as relays to connect isolated nodes, or as mobile users in cellular networks. However, the onboard energy of small UAVs is extremely limited. Thus,UAVs can be only deployed to establish wireless links temporarily. Prolonging the lifetime and developing green UAV communication with low power consumption becomes a critical *** this article, a comprehensive survey on green UAV communications for 6G is carried out. Specifically, the typical UAVs and their energy consumption models are introduced. Then, the typical trends of green UAV communications are provided. In addition, the typical applications of UAVs and their green designs are discussed. Finally, several promising techniques and open research issues are also pointed out.

关键词： Energy efficiency Green communications Sixth Generation(6G)networks Unmanned Aerial Vehicle(UAV) Wireless networks

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An Efficient Error Estimation Method in Quantum Key Distribution

An Efficient Error Estimation Method in Quantum Key Distribu...

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IEEE Future networks World Forum (FNWF)

作者： Yingjian Wang Yilun Hai Buniechukwu Njoku Koteswararao Kondepu Riccardo Bassoli Frank H. P. Fitzek Deutsche Telekom Chair of Communication Networks Dresden University of Technology Dresden Germany Department of Computer Science and Engineering Indian Institute of Technology Dharwad Karnataka India

ISBN: (数字)9798350379495

ISBN: (纸本)9798350379501

Error estimation is an important step for error correction in quantum key distribution. Traditional error estimation methods require sacrificing a part of the sifted key, forcing a trade-off between the accuracy of error estimation and the size of the partial sifted key to be used and discarded. In this paper, we propose a hybrid approach that aims to preserve the entire sifted key after error estimation while preventing Eve from gaining any advantage. The entire sifted key, modified and extended by our proposed method, is sent for error estimation in a public channel. Although accessible to an eavesdropper, the modified and extended sifted key ensures that the number of attempts to crack it remains the same as when no information is leaked. The entire sifted key is preserved for subsequent procedures, indicating the efficient utilization of quantum resources.

关键词： Quantum computing Accuracy Error analysis Channel estimation Information leakage Quantum key distribution Error correction Noise measurement Time complexity Eavesdropping

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5G NR Support for UAV-Assisted Cellular communication on Non-Terrestrial Network

5G NR Support for UAV-Assisted Cellular Communication on Non...

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2022 European Wireless Conference, EW 2022

作者： Borromeo, Justine Cris Kondepu, Koteswararao Andriolli, Nicola Valcarenghi, Luca Bassoli, Riccardo Fitzek, Frank H.P. Telecommunications Computer Engineering and Photonics Institute Scuola Superiore Sant'Anna Pisa Italy Department of Computer Science and Engineering Indian Institute of Technology Dharwad Dharwad India Institute of Electronics Information Engineering and Telecommunications National Research Council of Italy Pisa Italy Deutsche Telekom of Communication Networks Technische Universität Dresden Dresden Germany

ISBN: (纸本)9781713865698

The use of Unmanned Aerial Vehicles (UAVs) to provide cellular communication in rural areas, disaster-hit regions, or during temporary events is gaining increasing attention due to its flexible deployment and energy efficiency compared to fixed terrestrial infrastructures. However, UAVs experience significant challenges such as the limited wireless connectivity provided by Ka-band frequency, and their flying time is constrained by the energy consumed during the data transmission and the complexity of the Baseband Unit (BBU) implementation. Using different lower layer functional split options (e.g., 7-1, 7-2, 7-2x, and 7-3), this paper provides a theoretical and simulation analysis of the 5G New Radio (NR) physical layer specifications to achieve a fronthaul bandwidth that can be supported by the Ka-band. These functional split options are then compared in terms of fronthaul bandwidth, theoretical throughput, connection density, number of functions deployed at the UAV, and the energy consumption of the fronthaul transmission to determine which functional split option is better suited for a multi-layered Non-Terrestrial Network (NTN). © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Bandwidth

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Decentralized Intent-driven Coordination of Multi-Domain IP-Optical networks

Decentralized Intent-driven Coordination of Multi-Domain IP-...

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International Conference on Network and Service Management

作者： Filippos Christou Institute of Communication Networks and Computer Engineering (IKR) University of Stuttgart Stuttgart Germany

ISBN: (数字)9783903176515

ISBN: (纸本)9781665489928

Intent-based networking is increasingly used to improve network control and management. Network operators have already begun to adopt this paradigm, which leads to a simplified and automatized network operation. The operators can interact with their intent-driven networks through the Northbound Interface (NBI). Given a standardized NBI, the same approach can scale to coordinate intent provisioning across multi-domain networks in a decentralized fashion. This can outdate traditional decentralized protocols and open new opportunities for flexible and scalable communication mechanisms. This paper proposes a minimal and general high-level architecture, relying on a standard IBN (Intent-Based Networking) architecture, for multi-domain intent deployment in IP-optical networks. Our architecture is consistent between diverse network operators that use the same NBI, respects confidential information, promotes accountability, and can scale for various network services. To achieve this, we introduce a hierarchical system-generated intent schema with automatic intent delegation between the different domains.

关键词： Knowledge engineering Protocols Decentralized control Nonhomogeneous media Standards

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An Efficient Error Estimation Method in Quantum Key Distribution

arXiv

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arXiv 2024年

作者： Wang, Yingjian Njoku, Buniechukwu Bassoli, Riccardo Hai, Yilun Kondepu, Koteswararao Fitzek, Frank H.P. Deutsche Telekom Chair of Communication Networks Dresden University of Technology Dresden Germany Department of Computer Science and Engineering Indian Institute of Technology Karnataka Dharwad India

关键词： Quantum cryptography

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