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2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)最新文献

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A Workflow Orchestration Method for NFV Integration Deployment NFV集成部署的工作流编排方法
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201267
Qingyun Meng, Deheng Li, Qian Wang
{"title":"A Workflow Orchestration Method for NFV Integration Deployment","authors":"Qingyun Meng, Deheng Li, Qian Wang","doi":"10.1109/CCAI57533.2023.10201267","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201267","url":null,"abstract":"Introduction of CNF makes the telecom network based on the NFV standard more complex, and manual installation steps are cumbersome and inefficient. Therefore, it is necessary to introduce an automated deployment integration platform. There are a lot of steps that can be processed in parallel in the NFV integrated deployment, but the existing deployment tools or platforms cannot directly build a parallel-deployable NFV deployment process containing CNF, while a fully sequenced deployment process will consume more time. To solve this problem, a workflow based NFV automated integrated deployment orchestration method is proposed in the paper. This method can effectively improve the efficiency of deployment by solving the directed acyclic graph (DAG) of integrated deployment and generating the automated deployment process.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127143780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remote Sensing Image Object Detection Based on Improved YOLOv5 基于改进YOLOv5的遥感图像目标检测
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201315
Shenglan Zhou, Rongrong Guo, Jianhua Zhang, Weilong Chen, Yujia Peng, Yushen Tong, Yuebao Dai
{"title":"Remote Sensing Image Object Detection Based on Improved YOLOv5","authors":"Shenglan Zhou, Rongrong Guo, Jianhua Zhang, Weilong Chen, Yujia Peng, Yushen Tong, Yuebao Dai","doi":"10.1109/CCAI57533.2023.10201315","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201315","url":null,"abstract":"Aiming at the problems of complex background, high difficulty of small target detection and high miss detection rate in target detection of satellite remote sensing images, this paper proposes a multiscale target detection model based on YOLOv5 network with attention mechanism. —The feature extraction capability of the backbone network is enhanced by fusing efficient channel attention modules in the backbone network, and the detection head is decoupled and parallel convolution is used to perform classification and regression tasks separately to alleviate the conflict between classification and regression tasks. After experimental validation, the algorithm achieves 74.2% mAP and 64 FPS detection speed on Dior remote sensing dataset. experimental results show that the improved detection algorithm can effectively improve the detection capability of YOLOv5 for small and medium targets in remote sensing images and meet the real-time performance of detection.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129206911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
RDMA Reliability Evaluation Model for Large-Scale Data Center Networks 大型数据中心网络RDMA可靠性评估模型
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201290
Junliang Wang, Baohong Lin
{"title":"RDMA Reliability Evaluation Model for Large-Scale Data Center Networks","authors":"Junliang Wang, Baohong Lin","doi":"10.1109/CCAI57533.2023.10201290","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201290","url":null,"abstract":"The increasing demand for high-performance storage and machine learning services in data center networks has led to the adoption of RDMA (Remote Direct Memory Access) as a replacement for the traditional TCP protocol stack. To ensure the reliability of RDMA in real-world deployments, it is crucial to perform a comprehensive reliability evaluation before deploying it in a production environment. However, current reliability evaluations of RDMA in data center networks are often limited to small-scale experiments and models, making it difficult to validate the reliability of RDMA in large-scale deployments. To address this issue, we propose a reliability evaluation model for RDMA in large-scale data center networks. The model calculates the reliability of RDMA transmission flows in complex large-scale topologies. Our experiments demonstrate that the model accurately predicts the reliability of RDMA, providing quick and convergent evaluation results on a large scale.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128033156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Time Delay Estimation Method for X-ray Pulsars Based on The Optimal Number of Bispectral Feature Points 基于最优双谱特征点数的x射线脉冲星时延估计方法
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201254
Zhiwei Huang, Hua Zong, Yujia Xie, Nuoqi Xu
{"title":"Time Delay Estimation Method for X-ray Pulsars Based on The Optimal Number of Bispectral Feature Points","authors":"Zhiwei Huang, Hua Zong, Yujia Xie, Nuoqi Xu","doi":"10.1109/CCAI57533.2023.10201254","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201254","url":null,"abstract":"To enhance the accuracy and efficiency of X-ray pulsars time delay estimation, a novel time delay estimation method for X-ray pulsars based on the optimal number of bispectral feature points is proposed. The approach establishes the relationship between the time delay estimation error and the number of bispectral feature points used under different signalto-noise ratios, and gives a method to determine the optimal number of bispectral feature points involved in the estimation. We conduct simulation experiments for HXMT-Insight satellite observations of the Crab pulsar on Matlab R2017b. Results indicate that the average running time of the proposed algorithm is 50ms and the average error during observation intervals below 50s is 99. 0083us. Compared to the traditional bispectrum method, the proposed algorithm exhibits slightly higher accuracy and significantly improved running time.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131560522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Improved Variable Range Tentacle-Based Maneuver Guidance Strategy 改进的变距离触手机动制导策略研究
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201269
Yichuan Zhu, Ling Li, Shaoqi He, Rui Mu, Haoyu Huang
{"title":"Research on Improved Variable Range Tentacle-Based Maneuver Guidance Strategy","authors":"Yichuan Zhu, Ling Li, Shaoqi He, Rui Mu, Haoyu Huang","doi":"10.1109/CCAI57533.2023.10201269","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201269","url":null,"abstract":"For the reentry gliding process of high-speed aircraft, the aircraft can fly by adjusting the angle of bank and angle of attack. However, in addition to considering the reentry constraints, the avoidance of the no-fly zone should also be considered during the flight. For the no-fly zone undiscovered before launch, the high-speed aircraft needs to plan its trajectory online, which puts forward high requirements for the rapidity and real-time of its planning speed. This paper proposes a maneuver strategy with variable tentacle detection range, which tests the actual flight process through tentacle detection, selects the optimal tentacle command to meet the flight requirements, and reduces the number of tentacles through different tentacle detection strategies, Reducing the impact of the integration process on computational efficiency improves the speed of trajectory planning. Typical examples are used for simulation, and the deflection of aerodynamic data is simulated by Monte Carlo simulation. The results show that this method can effectively avoid the no-fly zone, and can satisfy all constraints in the gliding process. The computing time is 57.7% shorter than the traditional tentacle-based method.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fairness and Effectiveness in Federated Learning on Non-independent and Identically Distributed Data 非独立同分布数据下联邦学习的公平性和有效性
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201271
Wentao Pan, Hui Zhou
{"title":"Fairness and Effectiveness in Federated Learning on Non-independent and Identically Distributed Data","authors":"Wentao Pan, Hui Zhou","doi":"10.1109/CCAI57533.2023.10201271","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201271","url":null,"abstract":"Federated learning is a distributed machine learning method that protects privacy by allowing participants to train models locally rather than uploading data. However, federated learning has a significant barrier because of the non-independent and identically distributed (Non-IID) nature of each participant’s local data. FedFE, a novel fair and effective federated optimization algorithm, is presented in this paper. FedFE introduces momentum gradient descent in the federated training process and proposes a fair weighting strategy based on participant performance in training to eliminate the unfairness caused by the preference for some participants in the federated aggregation process. Experiments on a large number of Non-IID datasets have demonstrated that the proposed algorithm improves on existing baseline algorithms in terms of fairness, effectiveness, and convergence speed.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"38 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132760843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Plane Detection Based on an Improved RANSAC Algorithm 基于改进RANSAC算法的平面检测
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201261
Peng Li, Mao Wang, Jinyu Fu, Yankun Wang
{"title":"Plane Detection Based on an Improved RANSAC Algorithm","authors":"Peng Li, Mao Wang, Jinyu Fu, Yankun Wang","doi":"10.1109/CCAI57533.2023.10201261","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201261","url":null,"abstract":"When obtaining point cloud data of the measured object through 3D scanning, it is inevitable to encounter noise and outliers, which seriously affect the accuracy of estimating point cloud plane parameters and fitting planes. The Random Sample Consensus (RANSAC) algorithm can effectively estimate point cloud plane parameters and fit planes with certain robustness, but it has redundancy as it needs to distinguish inliers from outliers in each iteration, which has a certain impact on running efficiency. This article proposes an improved RANSAC algorithm based on Principal Component Analysis (PCA) method, combined with setting certain criteria to eliminate gross errors and outliers in point cloud data, in order to obtain ideal plane fitting parameters. Experiments show that compared with some traditional algorithms, this method can adapt well to the presence of gross errors and outliers in point cloud data, obtain better estimates of plane parameters, and is a robust plane fitting algorithm.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115598348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Novel ZigBee Routing Algorithm Based on Shortcut Routing and Energy Cost Function 一种基于快捷路由和能量代价函数的ZigBee路由算法
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201309
Xiaofeng Yao, Huipu Xu, L. Yang, Xu Xue
{"title":"A Novel ZigBee Routing Algorithm Based on Shortcut Routing and Energy Cost Function","authors":"Xiaofeng Yao, Huipu Xu, L. Yang, Xu Xue","doi":"10.1109/CCAI57533.2023.10201309","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201309","url":null,"abstract":"ZigBee routing protocol adopted hybrid routing approach which combined AODVjr and cluster-tree algorithm to better adapt to different network topology. However, the simple combination of two algorithms cannot play a very good role in reduce energy consumption. In this paper, a novel ZigBee routing algorithm based on shortcut routing and energy cost function was introduced after exhaustive research on ZigBee cluster-tree algorithm and routing discovery process of AODVjr algorithm, the new algorithm applied shortcut routing concept based on the cluster-tree neighbor table, find out the nodes among neighbor nodes which can reach to destination nodes with the least hops. Then energy costs of various paths were work out through applying the energy cost function, and then a high reliable path which consumed the minimum energy was selected, which can reduce energy consumption efficiently and prolong the network lifetime. Performance simulation and results analysis were implemented by using the NS-2 network simulation platform, and the simulation results indicated that the improved algorithm has better advantage on average delay and average route cost rate.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131532160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Evaluation Index System of Rural Smart Tourism Platform Based on Blockchain Technology 基于区块链技术的乡村智慧旅游平台评价指标体系研究
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201279
Lu Huang, Lin Li, Wei Gao, Long Zhang
{"title":"Research on Evaluation Index System of Rural Smart Tourism Platform Based on Blockchain Technology","authors":"Lu Huang, Lin Li, Wei Gao, Long Zhang","doi":"10.1109/CCAI57533.2023.10201279","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201279","url":null,"abstract":"With the maturity of computer communication and artificial intelligence, the construction of rural smart tourism platform under blockchain technology is also in full swing. However, there are large differences in the construction situation in various places. Therefore, the construction of a unified and perfect evaluation index system of rural smart tourism platform has important practical guiding significance. Based on the analytic hierarchy process method, this paper constructed the evaluation index system of rural smart tourism platform under blockchain technology, then invited experts to carry out evaluation. The results showed that: (1) data network(the weight is 0.59) is the primary factor influencing the evaluation, value accounting(expert score 7.09) is the most important factor in construction, (2) the construction of rural smart tourism platform under the blockchain technology in China was in good condition (expert score 6.4), etc. This attempt not only has academic and practical significance, but also provides an important reference for improving the degree of rural smart tourism and promoting the transformation and upgrading of rural smart tourism industry.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131784793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Corpus Database Management Design for Chinese-Portuguese Bidirectional Parallel Corpora 中葡双向平行语料库管理设计
2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) Pub Date : 2023-05-26 DOI: 10.1109/CCAI57533.2023.10201319
Lap-Man Hoi, Wei Ke, S. Im
{"title":"Corpus Database Management Design for Chinese-Portuguese Bidirectional Parallel Corpora","authors":"Lap-Man Hoi, Wei Ke, S. Im","doi":"10.1109/CCAI57533.2023.10201319","DOIUrl":"https://doi.org/10.1109/CCAI57533.2023.10201319","url":null,"abstract":"As deep learning techniques continue to mature, machine translation (MT) is gaining popularity among translators. However, the accuracy of machine translation depends not only on the size of the parallel corpus but also on the quality of the parallel corpus. The management of these massive parallel corpora is often unaware due to the lack of tools. As a result, many conflicting and confusing parallel corpora are trained together to influence the MT engines. Therefore, this study proposes a novel parallel corpus database design aimed at assisting data management efforts. After a series of experimental tests, our proposed database design can effectively generate domain-specific MT models with better BiLingual Evaluation Understudy (BLEU) values than other models. Furthermore, this database design helps to analyze, validate, and evaluate the quality of parallel corpora in database engines.","PeriodicalId":285760,"journal":{"name":"2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123697589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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