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2022 7th International Conference on Computer and Communication Systems (ICCCS)最新文献

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Study of a Complete Traversal Path Planning Algorithm1 一种完全遍历路径规划算法的研究
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846162
Yulin Cheng, Zefeng Chen, Deyi Zeng, Ruoyu Huang, Zujian Wu
{"title":"Study of a Complete Traversal Path Planning Algorithm1","authors":"Yulin Cheng, Zefeng Chen, Deyi Zeng, Ruoyu Huang, Zujian Wu","doi":"10.1109/icccs55155.2022.9846162","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846162","url":null,"abstract":"Traversal path planning is widely applied in many technical or strategical spheres. The path planning algorithm plays an important role in designing an effective path for robot- sweepers or lawnmowers operations. Additionally, there are requirements of wide applications in agriculture for generating appropriate moving guides for some irregular paddy fields. However, it is still a problem how to achieve a complete path planning. This paper proposes an algorithm to achieve full coverage of the map with low repeat rates. In this paper, a composed strategy of local and global path planning algorithms is investigated. A global path planning algorithm named Improved Ant Colony Algorithm is studied to work on the graph. An algorithm named Vertical Wave-Front and Distance Transformation Algorithm is carried out to study local path planning issues. Simulations are carried out based on maps with different characteristics. Simulation results show that the proposed algorithm in this paper can perform very well in covering maps and generating a moving route at a low repeat rate.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116941777","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
TransIEA: Transformer-Baseartd Image Emotion Analysis TransIEA:基于变压器的图像情感分析
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846146
Chang Liu, Shuang Zhao, Yutong Luo, Guangyuan Liu
{"title":"TransIEA: Transformer-Baseartd Image Emotion Analysis","authors":"Chang Liu, Shuang Zhao, Yutong Luo, Guangyuan Liu","doi":"10.1109/icccs55155.2022.9846146","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846146","url":null,"abstract":"The application of the so-called Transformer network for natural language sentiment recognition is well established. It contains a self-attentive mechanism that allows for better learning based on the context. This mechanism facilitates the analysis of emotional content. Similar to natural language sentiment analysis, image emotion analysis also needs to combine the context in the image, i.e., global and local features of the image to analyze must be combined. No previous studies validated the performance of Transformer in image emotion analysis. In this study, we applied a new approach. For the first time, we aimed at classifying emotion images on the basis of the Transformer network. A new module for convolutional-neural-network-based feature extraction was added in front of the network. The conducted experimental analysis show that our network model outperforms most of the deep-learning models on the commonly used emotion image classification dataset, i.e., the FI (Facebook and instagram) dataset. The model achieves a classification accuracy of 73.40% on this dataset.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115537380","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
Cloud Native Based Intelligent RAN Architecture Towards 6G Programmable Networking 面向6G可编程网络的基于云原生的智能RAN架构
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846266
Haitao Liu, Jiaying Zong, Qingtian Wang, Yang Liu, Feng Yang
{"title":"Cloud Native Based Intelligent RAN Architecture Towards 6G Programmable Networking","authors":"Haitao Liu, Jiaying Zong, Qingtian Wang, Yang Liu, Feng Yang","doi":"10.1109/icccs55155.2022.9846266","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846266","url":null,"abstract":"With the rapid development of new technologies, research on 6G is expected to take advantages of emerging technologies, such as Artificial Intelligence (AI) and cloud computing. The thought of AI native and cloud native drives the evolution of programmable networks towards more intelligence and automation. For Radio Access Network (RAN), the anticipated use of cloud-based AI technologies has also attracted a lot of attention to improve the efficiency of resource allocation and reduce the cost of network maintenance. This article firstly summarizes the latest progress in network cloudification and intelligence. Then based on the high flexibility and reconfigurability of cloud native, we present an intelligent RAN architecture for 6G. Finally, an indoor positioning case is offered to demonstrate the workflow of the proposed open-source based platform framework, which enriches the researches for future development of providing programmable networks.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115632757","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: 1
Research on 5G Air Interface Delay Performance 5G空口延迟性能研究
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846238
Xiao Li, Yong Zhao, Xiaoyin Zhao, Chunlei Hu, Weiliang Xie
{"title":"Research on 5G Air Interface Delay Performance","authors":"Xiao Li, Yong Zhao, Xiaoyin Zhao, Chunlei Hu, Weiliang Xie","doi":"10.1109/icccs55155.2022.9846238","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846238","url":null,"abstract":"The ITU (International Telecommunication Union) defines three major 5G application scenarios: eMBB, mMTC and URLLC. With the maturity and commercialization of 5G, URLLC as an important entry point in the vertical industry is also gradually improving and optimizing. In order to further study the air interface delay performance for different 5G scenarios, starting from the air interface design of 5G NR and key technologies of the physical layer, the air interface delay of 5G NR in different scenarios is analyzed, and the 4G LTE and 5G under the assumption of the 3GPP model are given. The delay comparison between NR and 5G NR after using uplink enhancement technology, and the experimental verification is carried out to demonstrate the feasibility and effectiveness of different schemes.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114536201","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
The Development of Traffic Flow Prediction Based on Deep Learning: A Literature Review 基于深度学习的交通流预测研究进展
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9845878
Yongjia Lei, Z. Cui, Linyan Dai, Ning Xiao, Xiangjie Wang, Xiangfang Ma, Ying Hong
{"title":"The Development of Traffic Flow Prediction Based on Deep Learning: A Literature Review","authors":"Yongjia Lei, Z. Cui, Linyan Dai, Ning Xiao, Xiangjie Wang, Xiangfang Ma, Ying Hong","doi":"10.1109/icccs55155.2022.9845878","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845878","url":null,"abstract":"As is well acknowledged, deep learning has been fairly widely used in both academic and industrial fields in recent periods. Researchers favour its strong portability and good performance. Although deep learning has shown satisfactory performance in traffic flow prediction, its specific development process in such a field is not very clear, which is also not conducive for researchers to choose and adjust the model. This paper mainly retraces some significant models applied in traffic prediction before and after the advent of neural networks and digs out the reasons for their appearance. Through review and mining, we have sorted out the development history of traffic flow prediction models, providing us with some inspiration for subsequent research.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115292034","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
Radar Target Tracking Based on Interactive Multi-model Cubature Kalman Filter 基于交互式多模型Cubature卡尔曼滤波的雷达目标跟踪
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9845870
Yalun Luo, Yurong Liao, Zhaoming Li, Ke Zhang, Haining Wang
{"title":"Radar Target Tracking Based on Interactive Multi-model Cubature Kalman Filter","authors":"Yalun Luo, Yurong Liao, Zhaoming Li, Ke Zhang, Haining Wang","doi":"10.1109/icccs55155.2022.9845870","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9845870","url":null,"abstract":"Aiming at the difficulty of model construction in the process of nonlinear maneuvering target tracking, the interactive multi-model algorithm based on CV and CT models is studied. Combined, an interactive multi-model cubature Kalman filter algorithm, which can be applied to the radar’s need for air maneuvering target tracking, is designed. The simulation results show that compared with the single model CKF and IMM-UKF, the IMM-CKF has higher tracking accuracy and stronger model adaptability, and has important engineering application value.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115768907","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: 3
Robustness of classifier to adversarial examples under imbalanced data 不平衡数据下分类器对对抗样本的鲁棒性
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846074
Wenqian Zhao, Han Li, Lingjuan Wu, Liangxuan Zhu, Xuelin Zhang, Yizhi Zhao
{"title":"Robustness of classifier to adversarial examples under imbalanced data","authors":"Wenqian Zhao, Han Li, Lingjuan Wu, Liangxuan Zhu, Xuelin Zhang, Yizhi Zhao","doi":"10.1109/icccs55155.2022.9846074","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846074","url":null,"abstract":"Adversarial examples (AE) are used to fool classifier recently, which poses great challenges for classifier design. Therefore, it is theoretically crucial to evaluate the robustness of classifier to AE for a better classifier design. In this paper, we provide a theoretical framework to analyze the robustness of classifier to AE under imbalanced dataset from the perspective of AUC (Area under the ROC curve), and derive an interpretable upper bound. Specifically, we illustrate the obtained upper bound of linear classifier, which indicates that the upper bound depends on the difficulty of the classification task and the risk of the classifier. Experimental results on MNIST and CIFAR-10 datasets show that the classifiers designed with pairwise surrogate losses of AUC are not robust to adversarial attack. The nonlinear classifier has a higher robustness to AE compared to the linear one, which indicates that more flexible classifier can be used to improve adversarial robustness.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127146819","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 Low-Complexity Transceiver Design and Prototype Development for Narrowband IoT 窄带物联网低复杂度收发器设计与原型开发
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846639
Ruiqi Zhang, Peiran Wu, Wenkun Wen, Minghua Xia
{"title":"A Low-Complexity Transceiver Design and Prototype Development for Narrowband IoT","authors":"Ruiqi Zhang, Peiran Wu, Wenkun Wen, Minghua Xia","doi":"10.1109/icccs55155.2022.9846639","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846639","url":null,"abstract":"In this paper, a low-complexity transceiver is designed for narrowband Internet-of-Things (IoT). Its prototype is developed based on GNU Radio, an open-source software-defined radio development toolkit. To deal with potentially high carrier-frequency offsets and low received signal-to-noise ratio widely occurring in IoT, we adopt the chirp signals as the preamble and the modulation scheme of direct sequence spread spectrum-continuous phase frequency shift keying (DSSS-CPFSK) for the payload. Given this transmitter, the receiver is carefully designed, especially including the frame synchronization and payload demodulation. Afterward, the prototype of this transceiver is implemented in GNU Radio. Finally, simulation results in Matlab and field test ones based on GNU Radio and USRP demonstrate the effectiveness of the proposed design and prototype development.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127419819","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: 1
A Stub and Driver Generating Approach for System Testing Using Sequence and Class Diagram 基于序列和类图的系统测试的存根和驱动生成方法
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846825
Nontadaech Warangdaech, T. Suwannasart
{"title":"A Stub and Driver Generating Approach for System Testing Using Sequence and Class Diagram","authors":"Nontadaech Warangdaech, T. Suwannasart","doi":"10.1109/icccs55155.2022.9846825","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846825","url":null,"abstract":"To efficiently search for defects, system testing can be conducted when a single system function is developed. Finding defects at an early stage of work can reduce cost and time of the rework. In order to conduct testing while there are incomplete classes in a system, stubs and drivers are introduced to temporarily replace incomplete classes. Development of stubs and drivers can take time and effort as a result testers usually try to use tools to mitigate them. Luengruengroj and Suwannasart [1] proposed an automated stubs-and-drivers generator. However, their generator aimed to help testers during integration testing. Our study presents an approach to generate stubs and drivers for system testing. Our approach uses a class diagram, sequence diagrams, and a Requirements Traceability Matrix as input. Class diagram is used to indicate classes’ attributes and create a list of method signatures. Whereas sequence diagrams are used to indicate interaction between objects and produce a call graph. In addition, our approach uses the Requirements Traceability Matrix to discover system functions. After a call graph and the method signatures are extracted, they are used to generate classes of stubs and drivers along with test input values. Consequently, stubs and drivers are exported for system testing.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127424044","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 Chaotic Dynamic Congestion Prediction Method under the Space-Terrestrial Integrated Network 天地一体网下混沌动态拥塞预测方法
2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI: 10.1109/icccs55155.2022.9846732
Hua Qu, Chang-feng Wei, X. Yuan, Ji-hong Zhao
{"title":"A Chaotic Dynamic Congestion Prediction Method under the Space-Terrestrial Integrated Network","authors":"Hua Qu, Chang-feng Wei, X. Yuan, Ji-hong Zhao","doi":"10.1109/icccs55155.2022.9846732","DOIUrl":"https://doi.org/10.1109/icccs55155.2022.9846732","url":null,"abstract":"The space-terrestrial integrated network is an important research field of the future network. The dynamic and heterogeneous nature of the space-terrestrial integrated network brings challenges to the research of congestion prediction methods. In this paper, we propose a chaotic dynamic congestion prediction method under the space-terrestrial integrated network, which solves the problems of insufficient dynamics and low accuracy of the existing congestion prediction methods for the space-terrestrial integrated network. The chaotic dynamic congestion prediction method is to predict the time series by using the GRU neural network model of the improved particle swarm algorithm to optimize the parameters after wavelet analysis. The experimental results show that the prediction accuracy of the chaotic dynamic congestion prediction method is higher, and it is more suitable for the space-terrestrial integrated network.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127583195","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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