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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

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Resource optimization for multi UAV formation communication based on DQSEnet 8

Resource optimization for multi UAV formation communication ...

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Li, Jie Li, Sai Xue, Chenyan Department of Electronic and Information Engineering Nanjing China Leihua Electronic Technology Research Institute Aviation Industry Corporation of China Wuxi China

ISBN: (纸本)9781665456128

On the basis of deep Q network (DQN), this paper proposes a combined power and spectrum optimization method for the multi unmanned aerial vehicles (UAV) formation communication system based on squeeze-and-excitation (SE) module and we call it the DQSEnet algorithm. For the sake of the utilization of frequency, UAV-to-base station (U2B) and UAV-to-UAV (U2U) communication are considered and U2B links can be reused by U2U communication links. In the DQN, each U2U link is treated as an agent. By interacting with the system, the U2U links can intelligently learn how to select the optimal power and spectrum. the SE module is adopted in the interacting process, in which different weights are assigned to each action. the U2U links can automatically avoid the action with low weights and select the action with high weights. the actions with high weights mean that the selected channel and power are better and will generate less interference to the system. We can draw the conclusion that the proposed mechanism is superior to other methods. © 2023 ieee.

关键词： Antennas

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Game-Based Task Offloading in Cloud-Edge-End Network 8

Game-Based Task Offloading in Cloud-Edge-End Network

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Li, Jinxuan Liang, Qiongfang Li, Dongxu Liu, Yuan Zhang, Yang Guangzhou Power Supply Bureau Guangdong Power Grid Co. Ltd. Guangzhou510620 China School of Electronic and Information Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9781665456128

Mobile edge computing (MEC) is a key enabler for the next generation network by leveraging the cloud function to network edge and reducing costs required to transmit data to the cloud. In this paper, we consider a cloud-edge-end network, in which users subscribe services to the cloud, and the cloud delegates the services to edge servers since they can support time-sensitive applications locally. All the cloud, edge servers, and users intend to maximize their utilities. To model the dynamic interactions among cloud-edge-end, we propose a hierarchical dynamic game framework. Specifically, in the lower-level game, the offloading decisions of users are modeled as an evolutionary game. In the upper-level game, considering the users' dynamic selections, we model the pricing strategy of the cloud and resource allocations of the edge servers as a Stackelberg differential game. the equilibrium and the optimal strategies of the players in the game are derived. the simulation results validate the effectiveness of our designed reward operation mechanism. © 2023 ieee.

关键词： Economics

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Research on educational big data analysis based on Hive and Spark 8

Research on educational big data analysis based on Hive and ...

引用

8th international conference on Information systems engineering, ICISE 2023

作者： Lv, Taizhi Zou, Yujuan Tang, Peiyi Jiangsu Maritime Institute College of Information Engineering Nanjing China Nanjing Huihai Transportation Technology Company Limited General Manager Office Nanjing China

ISBN: (纸本)9798350307009

With the increasing number of students in colleges and universities, a large amount of educational big data has been accumulated in daily teaching work. How to make full use of educational big data to serve education and teaching has theoretical and practical significance. In order to mine the hidden value of educational big data and improve teaching quality, this paper processes and analyzes educational big data based on Hive data warehouse technology. First, the educational big data is collected from the Oracle database to the data warehouse through the Sqoop tool, and the analysis results are obtained through data cleaning, data transformation, data statistics and other steps. Hive and Spark are used in data analysis and statistics. the analysis results are stored to the MySQL and Redis, and finally the analysis results are visualized through the front-end and back-end separation technology. © 2023 ieee.

关键词： Data warehouses

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RIS-Empowered Phase and Code Index Modulation 8

RIS-Empowered Phase and Code Index Modulation

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Bai, Song Li, Qiang Cai, Donghong Huang, Yu College of Information Science and Technology Jinan University Guangzhou510632 China School of Electronics and Communication Engineering Guangzhou University Guangzhou510006 China

ISBN: (纸本)9781665456128

Reconfigurable intelligent surface (RIS)-assisted symbiotic radio is a spectrum- and energy- efficient communication paradigm, in which a RIS preforms passive beamforming to enhance active transmission, while using the electromagnetic waves from the active transmission for additional information transfer (i.e., passive transmission). In this paper, a hybrid RIS-based modulation, termed phase and code index modulation (PCIM), is proposed to improve the reliability of RIS-assisted symbiotic radio. In RIS-PCIM, the RIS simultaneously performs direct sequence spread spectrum and passive beamforming on impinging signals. Moreover, both the spreading code and phase offset are exploited to carry the RIS's own information. We analyze the bit error rate (BER) performance of RIS-PCIM over Rician fading channels and derive closed-form BER upper bounds by assuming maximum-likelihood detection. Simulation results in terms of BER verify the analysis and show the superiority of RIS-PCIM over the existing RIS-based modulation. © 2023 ieee.

关键词： Bit error rate

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Energy-Transmitting Mechanism and Modal Analysis Method of Wave-Port-Fed Microstrip Patch Antennas 8

Energy-Transmitting Mechanism and Modal Analysis Method of W...

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Lian, Ren-Zun School of Electronic Engineering Xidian University Xi'an China

ISBN: (纸本)9781665456128

the energy-transmitting mechanism of the wave-port-fed microstrip patch antennas is analyzed. the energy-transmitting mechanism is manifested as an energy transport process. the energy transport process is governed by the energy transport theorem (ETT). the ETT has a source term called input power. the input power is the power inputted into the feeding wave port of microstrip antenna, and it is also the energy source for sustaining the energy transport process. the ETT reveals that: 1) the coaxial probe and metallic patch are not the energy source for sustaining the energy transport process and exciting the microstrip antenna;2) the real energy source is the feeding wave port;3) the main function of the coaxial probe, metallic patch, and ground plane is to participate in shaping the spatial energy distribution. Based on the observations, the microstrip antenna (including the material substrate and metallic patch), coaxial probe, and ground plane are treated as a system, and the system is called augmented microstrip antenna. An ETT-based modal analysis method-decoupling mode theory (DMT)-is proposed for analyzing the augmented microstrip antennas. the ETT-based DMT (ETT-DMT) focuses on constructing a set of energy-decoupled modes (DMs) of the augmented microstrip antenna. the DMs can be effectively calculated from diagonalizing the input power operator (IPO). © 2023 ieee.

关键词： Modal analysis

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An Efficient Byzantine Fault-Tolerant Consensus Mechanism Based on Aggregate threshold Ring Signature 8

An Efficient Byzantine Fault-Tolerant Consensus Mechanism Ba...

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Chen, Liquan Wang, Chengjing Jiang, Wenxuan School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781665456128

To address the problems of existing consensus mechanism in blockchain such as too much information interactions among nodes, and simple election strategy of master node, this paper firstly proposes an Aggregate threshold Ring Signature (ATRS) algorithm, which is efficient, anonymous and takes up less space. then we apply it to the consensus mechanism of blockchain, and proposes a consensus mechanism based on ATRS algorithm, named Ring Signature-Practical Byzantine Fault Tolerance (ATRS-PBFT) consensus mechanism. this consensus mechanism reduces the number of signatures and verifications and improves the efficiency of the mechanism. In order to increase the security, the consensus proposed in this paper also adopts a credit hierarchy in the master node election strategy, divides the nodes' credit rating before the master node election, and selects the nodes with high credit rating as the master nodes, which reduces the probability of malicious nodes becoming the master nodes. the optimized consensus mechanism can both achieve privacy protection for nodes using ring signature and reduce the data computation in the signature process to improve the efficiency of the mechanism. From the simulation experiments, it can be seen that ATRS-PBFT consensus has the advantages of increased throughput, reduced latency, short block-out time, and high efficiency compared with the traditional PBFT consensus mechanism. © 2023 ieee.

关键词： Blockchain

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Energy Transport theorem (ETT)-Based Modal Analysis Method for the Transmitting Antennas Containing Inhomogeneous, Anisotropic, and Nonreciprocal Materials 8

Energy Transport Theorem (ETT)-Based Modal Analysis Method f...

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Lian, Ren-Zun School of Electronic Engineering Xidian University Xi'an China

ISBN: (纸本)9781665456128

the traditional energy transport theorem (ETT)-based modal analysis method realized the modal analysis for the wave-port-fed transmitting antennas by diagonalizing the input power operator (IPO). When the antennas contain some materials, the traditional method for formulating the IPO needs to use 'the equivalent surface currents on the feeding wave ports', 'the equivalent surface currents on the material boundaries', and 'the material Green's functions'. If the materials are not homogeneous and isotropic, the material Green's functions do not have the explicit expressions, and then the traditional method for formulating the IPO does not work. To resolve the above problem, a novel method is proposed to formulate the IPO. the novel IPO formulation uses 'the equivalent surface currents on the feeding wave ports', 'the induced volume currents on the materials', and 'the free-space Green's functions', but does not use 'the equivalent surface currents on the material boundaries' and 'the material Green's functions'. Fortunately, the free-space Green's functions always have the explicit expression, so the novel IPO formulation is applicable to the wave-port-fed transmitting antennas containing inhomogeneous, anisotropic, and nonreciprocal materials, and then the corresponding diagonalizing IPO method can be used to do the modal analysis for the antennas. © 2023 ieee.

关键词： Lens antennas

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Combining Image Inductive Bias and Self-Attention Mechanism for Accurate Isolated Sign Language Recognition 8

Combining Image Inductive Bias and Self-Attention Mechanism ...

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： You, Jieshun He, Zekai Lin, Shunying Chen, Ling School of Applied Science and Civil Engineering Beijing Institute of Technology Zhuhai Zhuhai China

ISBN: (纸本)9781665456128

Isolated sign language recognition has been an important part of breaking down communication bottlenecks for deaf-mute and others. While facing this problem, the purpose of this paper is to classify American isolated sign language video by modeling pose, hands and face keypoints representation. Specifically, this paper introduces a novel framework whose main components are the altered Dense Predictive Coding (DPC) pre-trained model and the Encoder pre-trained model. the DPC model is trained using self-supervised learning to obtain representation of pose and hands keypoints. the Encoder model is trained using supervised learning to obtain representation of face keypoints. Combining the altered DPC model with image inductive biases and the Encoder model with a self-attention mechanism, the final combined model achieves 0.81 on the test set of the ISAL dataset, outperforming the current open-source solution by a significant margin. © 2023 ieee.

关键词： Supervised learning

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A Two-Level Multi-task Fair Allocation Mechanism in Cloud Computing 8

A Two-Level Multi-task Fair Allocation Mechanism in Cloud Co...

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Zhao, Lihua Guangzhou Vocational College Technology & Business Faculty of Information Engineering Guangzhou China

ISBN: (纸本)9781665456128

Aiming at the fair scheduling of multi-task and multiple resources in a heterogeneous cloud computing environment, in order to address this issue, each task of a single user is viewed as an independent sub-user, and the corresponding user is viewed as the upper-level user, thus constructing a two-level resource scheduling problem. that is, the bottom level is the fair allocation problem of multi-resource for sub-users, and the upper level is the scheduling problem of multi-task for upper-level users. In this paper, we propose a Two-level Multi-task fair allocation mechanism (TLMT). At the bottom level, the m-constrained bottleneck queue resource optimization model is used to ensure the rationality of resource allocation among sub-users. For upper-level users, an efficiency-aware allocation strategy based on multi-task share fairness (MSFEAA) is used. MSFEAA provides a quantitative measurement method to evaluate the fairness of multi-task allocation among upper-level users. the experimental results show that MSFEAA algorithm performs better in terms of multi-task share and provides full utilization of resources compared with DRF and WRDRF. © 2023 ieee.

关键词： Cloud computing

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Scoring Mechanism for Clustering Training in Wireless Federated Learning 8

Scoring Mechanism for Clustering Training in Wireless Federa...

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8th international conference on computer and Communication systems, ICCCS 2023

作者： Wang, Ye Zhang, Chenhu Tong, En Ni, Yiyang Zhao, Haitao Xia, Wenchao China Mobile Communications Group Jiangsu Co. Ltd Nanjing China Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Wireless Communications Nanjing China School of Physics and Information Engineering Jiangsu Second Normal University Nanjing China

ISBN: (纸本)9781665456128

Federated learning (FL) is a distributed learning framework, which can be widely applied into wireless networks to improve network intelligence without disclosing users' private data. However, due to the scarce wireless resources, it is inefficient for massive user devices to participate in FL training simultaneously. To address this challenge, in this work, we introduce the client clustering scheme and decompose the training process into two stages. Firstly, we divide user devices into different clusters based on Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Low Energy Adaptive Clustering Hierarchy (LEACH) algorithms. then a scoring mechanism considering user devices' locations, velocities, link retention time, and training latency is proposed to determine the cluster head among the devices in each cluster. Finally, simulation results validate the performance of the proposed client clustering method in terms of model accuracy and training latency. © 2023 ieee.

关键词： client scheduling clustering federated learning scoring mechanism

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