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检索条件"任意字段=IEEE 34th Conference on Local Computer Networks"

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2024 34th International Telecommunication networks and Applications conference, ITNAC 2024

2024 34th International Telecommunication Networks and Appli...

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34th International Telecommunication networks and Applications conference, ITNAC 2024

ISBN: (纸本)9798350379112

the proceedings contain 43 papers. the topics discussed include: hybrid deep learning-based ensemble model for detecting network-based cyber-attacks of industrial internet of services;the cybersecurity management of incontrovertible information;limitations of advanced persistent threat datasets: insights for cybersecurity research;a study on transmission selection for credit-based shaper in ieee 802.1TSN;on the way to distribute compute continuum urban applications by deploying clusters of drones;frame error rate of turbo coded rotating polarization wave;optimizing channel availability in WLAN 6GHz networks using automatic frequency coordination (AFC) system;and reliability-considered multi-platoon's groupcasting using the resource sharing method.

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Abstract Interpretation for PLONKish Circuits 34

Abstract Interpretation for PLONKish Circuits

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34th Annual International conference on Collaborative Advances in Software and Computing, CASCON 2024

作者： Soureshjani, Fatemeh Heidari Gorzny, Jan Polytechnique Montréal Computer Engineering and Software Engineering Department Canada Zircuit Canada

ISBN: (纸本)9798331504830

Zero-knowledge proof systems are becoming powerful tools in domains like blockchain networks. In this work, we improve abstract interpretation methods to sanity check PLONKish arithmetizations of computation, such as those used in the Halo2 zero-knowledge proof system. Our work aims to improve the accuracy of checks for unused gates, assigned but unconstrained values, and possibly under-constrained circuits, all of which may indicate a bug in the circuits. We show how copy constraints and arbitrary lookup functions can be used in abstract interpretation based analysis of these circuits. We are motivated to revisit this topic as these circuits, through their use in general purpose blockchain networks, may be responsible for the security of millions of dollars in cryptocurrency. © 2024 ieee.

关键词： Blockchain

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Multi-armed Bandit-based Channel Bonding for Off-body Communication in ieee 802.15.6 Cognitive Radio Wireless Body Area networks 34

Multi-armed Bandit-based Channel Bonding for Off-body Commun...

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34th Irish Signals and Systems conference (ISSC)

作者： Henna, Shagufta Meehan, Kevin Sakhamuri, Mallikharjuna Rao Atlantic Tech Univ Dept Comp Letterkenny Ireland

ISBN: (纸本)9798350340570

Off-body communication in Cognitive Radio Wireless Body Area networks (CRWBANs) must cope with different types of interference and dynamic traffic loads. Existing static channel assignment schemes cannot handle dynamic traffic loads with higher data rate requirements. One of the major problems experienced by CRWBANs is contention across wireless body area networks, thereby affecting the network throughput. Channel bonding has been successfully applied to different networks, such as Wireless local Area networks (WLANs), cognitive radio sensor networks, and wireless sensor networks. However, its use for the off-body communication in ieee 802.15.6-based CRWBANs has not been investigated. this article proposes a multi-armed bandit-based bonded channel algorithm (MAB-BCA) with Upper Confidence Bound (UCB) for channel bonding to improve the off-body network capacity. the MAB-BCA based on UCB algorithm maximizes the capacity of off-body communication in CRWBANs. It demonstrates significant performance improvement over Static Channel Assignment (SCA) and Reinforcement Learning-Channel Assignment Algorithm (RL-CAA) in terms of average throughput and comparable bit error rate and dissatisfaction probability.

关键词： Body area network multi-armed bandit-based bonded channel off body communication in WBANs

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Round Trip Time Measurement Over Microgrid Power Network 34

Round Trip Time Measurement Over Microgrid Power Network

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34th Irish Signals and Systems conference (ISSC)

作者： Kutlu, Yasin Emir de Frein, Ruair Basu, Malabika Malik, Ali Technol Univ Dublin Sch Elect & Elect Engn Dublin Ireland

ISBN: (纸本)9798350340570

A focus of the Power Systems and Networking communities is the design and deployment of Microgrid (MG) integration systems that ensure that quality of service targets are met for load sharing systems at different endpoints. this paper presents an integrated Microgrid testbed that allows Microgrids endpoints to share their current, voltage and power values using a Network Published Shared Variable (NPSV) approach. We present Round Trip Time (RTT) measurements for time sensitive Microgrid control traffic in the presence of varying background traffic as an example quality of service measurement. Numerical results are presented using a range of different background traffic traces. the results show that when the variance of background traffic is increased, this leads to an increase in the RTT value on a Layer-2 (L2) network connection.

关键词： microgrids labview computer networks round trip time

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Optimizing DDoS Detection with Time Series Transformers 34

Optimizing DDoS Detection with Time Series Transformers

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34th Annual International conference on Collaborative Advances in Software and Computing, CASCON 2024

作者： Ejikeme, Chibuike Kahani, Nafiseh Ajila, Samuel A. Carleton University Dept. of Systems and Computer Eng. OttawaON Canada

ISBN: (纸本)9798331504830

Distributed Denial of Service (DDoS) attacks pose severe risks to large networks by disrupting services. Effective detection and response are crucial. Despite progress, current DDoS detection methods need improvement in adaptability and scalability to manage growing network traffic complexity. Existing models often fail to generalize across various network environments, protocols or attack types. this research introduces a hybrid model combining a Time Series Transformer (TST) with feature engineering to enhance DDoS detection and classification. Based on an experimental evaluation using the CICDDoS2019 and CICIoT2023 datasets, which encompass diverse DDoS attack types and network environments, the proposed model outperforms RNN, BiLSTM, and TransformerRNN models. the TST approach achieved an accuracy of 0.971 and an F-beta score of 0.701 on the CICDDoS2019 dataset, and an accuracy of 0.981 and an F-beta score of 0.952 on the CICIoT2023 dataset. We also compare the TST approach's performance across different network protocols for DDoS classification, analyzing the model's ability to detect attacks within various protocols, such as TCP, UDP, and ICMP. © 2024 ieee.

关键词： Internet of things

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Predictive Maintenance Using Fouling Detection on Heat Exchangers 34

Predictive Maintenance Using Fouling Detection on Heat Excha...

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34th Annual International conference on Collaborative Advances in Software and Computing, CASCON 2024

作者： Strzelczyk, Nicholas Gomez-Rosero, Santiago Capretz, Miriam A.M. Western University Department of Electrical and Computer Engineering LondonONN6A 5B9 Canada

ISBN: (纸本)9798331504830

Predictive maintenance (PdM) in heating, ventilation, and air conditioning (HVAC) systems improves energy efficiency and extends equipment lifespan. However, developing deep learning (DL) models for PdM faces challenges due to limited labeled datasets, particularly for image-based fouling detection in cooling tower heat exchangers. To address this, a synthetic image dataset is introduced, simulating dust and particulate accumulation on heat exchanger grids. the synthetic fouling data approach generates daily fouling growth and blends synthetic dust into real images. Using this dataset, convolutional neural networks (CNNs), including UNet, UNet++, and CGNet, are trained for semantic segmentation to detect fouling levels. the models are evaluated using F1 scores and precision-recall curves. Results demonstrate that the synthetic dataset effectively enables CNNs to detect fouling, with UNet achieving the best balance between accuracy and efficiency. Contributions include the development of the first synthetic dataset tailored for fouling simulation and a trained CNN model that can be integrated into PdM systems. this work addresses data scarcity and advances the use of computer vision in PdM. © 2024 ieee.

关键词： Semantic Segmentation

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NOMA in Flexible Optical Access Network: Principle, Advantage and Challenges 21

NOMA in Flexible Optical Access Network: Principle, Advantag...

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21st International conference on Optical Communications and networks, ICOCN 2023

作者： Chai, Jia Feng, Nan Ma, Mingyi Li, Zhe Li, Shaobo Beijing Institute of Computer Technology and Application China The 54th Research Institute of Cetc Shijiazhuang050081 China Hebei Key Laboratory of Photonic Information Technology and Application Shijiazhuang050081 China

We summarize the current principle, advantage, and challenges of power domain non-orthogonal multiple access technology which exploited the benefits of different channel gains of passive optical network to improve the... 详细信息

ISBN: (纸本)9798350343502

关键词： Passive optical networks

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A voting mechanism-based approach for identifying key nodes in complex networks 34

A voting mechanism-based approach for identifying key nodes ...

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34th ieee International conference on Tools with Artificial Intelligence (ICTAI)

作者： Chen, Jun Jiang, Xuesong Wei, Xiumei Li, Yihong Shandong Acad Sci Qilu Univ Technol Jinan Shandong Peoples R China Queens Univ Kingston ON Canada

ISBN: (纸本)9798350397444

Many mechanisms, such as epidemic spread, rumor spread, and the spread of social emergencies, are closely related to complex network dynamics, and mining their key nodes plays an important role in understanding the structure and function of the network and maintaining its stable operation. In response to the problem that the key node identification methods in complex networks cannot comprehensively consider global and local information and ignore low-degree nodes, this study proposes a new method based on the voting mechanism. Firstly, the CI value of the network nodes is calculated using the CI algorithm, and initialized the voting ability of nodes by CI values, fully considering the local information of the nodes as well as the influence of low-degree nodes. Secondly, the concept of voting probability is introduced to distinguish the votes of network nodes for their different neighboring nodes through the voting probability, to consider more local information, and to comprehensively assess the importance of the nodes, and ultimately, it is more important to get nodes with the larger voting score. Comparing several classical key node identification methods, the experimental results show that this method can effectively identify key nodes and has a high accuracy rate in different complex networks.

关键词： complex networks key nodes VoteRank

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Dynamic Community Detection Algorithm based on Allocating and Splitting 34

Dynamic Community Detection Algorithm based on Allocating an...

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34th ieee International conference on Tools with Artificial Intelligence (ICTAI)

作者： Jiang, Wanchang Zhang, Xiaoxi Northeast Elect Power Univ Sch Comp Sci Jilin Peoples R China

ISBN: (纸本)9798350397444

Since the incremental community detection method is affected by the initial network community and the incremental detection process, it is prone to generate the problem of error accumulation. To solve the above problem, a dynamic community detection algorithm is proposed. First, considering the closeness between nodes to detect the community structure of the first snapshot network. After that, active nodes that reflect network changes are identified in adjacent snapshots and allocated to communities. then, during the incremental detection process, considering the influence of adding edges on the accuracy of the community, the edge-added node is defined. In this way, the allocated community structure can be split into multiple local communities and singleton communities constructed by edge-added nodes and other nodes. By merging and optimizing the split communities, the final community structure can be detected. Finally, experiments show that the normalized mutual information and the modularity are improved by an average of 5.23% and 5.00% on synthetic dynamic networks. the modularity is improved by an average of 2.39% on real dynamic networks.

关键词： complex network dynamic community detection splitting edge-added node local community

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A Lipreading Model Based on Fine-Grained Global Synergy of Lip Movement 34

A Lipreading Model Based on Fine-Grained Global Synergy of L...

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34th ieee International conference on Tools with Artificial Intelligence (ICTAI)

作者： Sun, Baosheng Xie, Dongliang Luo, Dawei Yin, Xiaojie Beijing Univ Posts & Telecommun Natl Pilot Software Engn Sch Sch Comp Sci Beijing Peoples R China

ISBN: (纸本)9798350397444

Lipreading is a type of speech recognition based on visual information. It is instructive to design a lipreading model according to the lip movement law. Algorithms in the field of computer vision cannot fully satisfy the characteristics of lipreading, and direct use does not necessarily improve the performance of lipreading. In this paper, we propose that lipreading has fine-grained global synergy by comparing other computer vision tasks and analyzing lip muscle motion patterns. To address this feature, we propose a tailored model and name it Fine-Grained Global Synergy Lipreading (FGSLip). Our model aims to make features synergistic to improve lipreading performance. We introduce global features to represent the overall characteristics of the lip, and local features to learn coarse-grained and fine-grained correlations between features. then, diffusion and fusion methods are used to make the local features and global features synergistic. Based on the above, several different feature extraction structures are constructed to demonstrate the fine-grained global synergy of lipreading. To verify the effectiveness of the proposed model, extensive experiments are conducted on the laboratory record dataset ICSLR and the public dataset CMLR, and the experimental results show that the proposed method can effectively improve the accuracy of lipreading.

关键词： lipreading computer vision global synergy coarse-grained fine-grained

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