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2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)最新文献

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A BCI-Based Motion Control System for Heterogeneous Robot Swarm 基于bci的异构机器人群运动控制系统
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/CCIS57298.2022.10016398
Zhenguo Huo, Tao Deng, Zhiyan Dong, L. Zhang, Lan Niu
{"title":"A BCI-Based Motion Control System for Heterogeneous Robot Swarm","authors":"Zhenguo Huo, Tao Deng, Zhiyan Dong, L. Zhang, Lan Niu","doi":"10.1109/CCIS57298.2022.10016398","DOIUrl":"https://doi.org/10.1109/CCIS57298.2022.10016398","url":null,"abstract":"The study presents a method to construct a brain-computer interaction (BCI) motion control system that uses human brainwave signals to control the motion of different kinds of individuals in a heterogeneous robot swarm. Through establishing the BCI system based on Stable State Visual Evoked Potential (SSVEP), the virtual reality (VR) twin scene for monitoring the operating state and the external environment of robots and the heterogeneous robot swarm composed of unmanned drones and vehicles, the direct motion control of human brain wave signals on heterogeneous robot swarms is realized. The experimental results present that the subjects can apply the system to achieve motion control of a heterogeneous robot swarm in a simulated complex obstacle avoidance scenario with a 90% obstacle avoidance success rate. The system provides a new control method for traditional heterogeneous robot swarm motion systems, and also provides a new solution for how to deal with sophisticated and versatile application scenarios, which is significant for improving the system's perception capability, decision-making ability, and intelligence level.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122800772","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
Incremental Updating Multigranulation Approximations with Matrix Representation Under Coarsening Decision Attribute 决策属性粗化下矩阵表示的增量更新多粒逼近
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016356
Qiaowen Deng, Jin Qian, Ying Yu
{"title":"Incremental Updating Multigranulation Approximations with Matrix Representation Under Coarsening Decision Attribute","authors":"Qiaowen Deng, Jin Qian, Ying Yu","doi":"10.1109/ccis57298.2022.10016356","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016356","url":null,"abstract":"Incremental learning is a computing method for dynamic systems. In this paper, we study the coarsening of decision attribute values in multi-granularity and define some matrixes and multi granularity fusion method based on matrix representation. In addition, we design an algorithm for calculating approximations. Furthermore, we describe the coarsening method of decision attributes, and update the multi-granularity probability approximations by updating matrixes and propose related algorithms. Compared with non-incremental algorithm, incremental algorithm can effectively accelerate knowledge acquisition.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122818843","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
GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series 基于多粒度的多变量时间序列无监督异常检测算法
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016429
Fan Meng, Qunli Yang, Zhengda He, Shangdong Yang, Weidong Tang
{"title":"GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series","authors":"Fan Meng, Qunli Yang, Zhengda He, Shangdong Yang, Weidong Tang","doi":"10.1109/ccis57298.2022.10016429","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016429","url":null,"abstract":"Unsupervised anomaly detection on multivariate time series (MTS) is a valuable problem in practice because it significantly reduces labeling costs. Even though most classical methods begin to consider inter-series dependencies, the hierarchical relationships between and within-series data are often ignored. To overcome these limitations, in this paper, we propose a multiGranUlArity based unsupeRvised anomaly Detection (GUARD) algorithm that captures the hierarchical relationships in three granularities and merges these dependencies in the following anomaly detection task. Specifically, the proposed algorithm first captures the internal dependencies within the subsequence and learns a hidden representation based on a trained autoencoder. Then, a hierarchical mechanism is designed to capture the local and global dependencies between the given subsequence and the whole set and learn their hidden representation. The experimental results show that the proposed algorithm can effectively and stably exploit the potential relationship of MTS and detect anomalies more accurately than the basic approaches.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117300019","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
CCIS 2022 Keynote Speech CCIS 2022主题演讲
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016371
{"title":"CCIS 2022 Keynote Speech","authors":"","doi":"10.1109/ccis57298.2022.10016371","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016371","url":null,"abstract":"","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130745110","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
Graph-Augmented Multi-Level Representation Learning for Session-based Recommendation 基于会话推荐的图增强多层次表征学习
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016436
Chengxin Ding, Jianhui Li, Tianhang Liu, Zhongying Zhao
{"title":"Graph-Augmented Multi-Level Representation Learning for Session-based Recommendation","authors":"Chengxin Ding, Jianhui Li, Tianhang Liu, Zhongying Zhao","doi":"10.1109/ccis57298.2022.10016436","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016436","url":null,"abstract":"Session-based recommendation has received extensive attention in recent years due to its excellent performance in recommending for anonymous users. However, most existing studies ignore the intention revealed by several consecutive items in a session and do not consider similar transitional relations across sessions. To this end, we propose a graph-augmented multi-level representation learning method for session-based recommendation. Specifically, we construct multi-level session graphs for each session to capture fine-grained user preferences. In addition, we utilize subgraphs of global transition graph to augment the representation of each session. Contrastive learning is adopted to maximize the consistency of the representation of the same session under different subgraphs. Experimental results on two real-world datasets prove that the proposed method achieves excellent performance compared to several competitive baselines.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"120 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131305770","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
Design of Simultaneous State and Unknown Input Filtering Algorithm for a Class of Nonlinear Stochastic Systems with Multiple Sensors 一类多传感器非线性随机系统的同时状态和未知输入滤波算法设计
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/CCIS57298.2022.10016399
Zhibin Hu, Jun Hu, Cai Chen, Junhua Du
{"title":"Design of Simultaneous State and Unknown Input Filtering Algorithm for a Class of Nonlinear Stochastic Systems with Multiple Sensors","authors":"Zhibin Hu, Jun Hu, Cai Chen, Junhua Du","doi":"10.1109/CCIS57298.2022.10016399","DOIUrl":"https://doi.org/10.1109/CCIS57298.2022.10016399","url":null,"abstract":"In this paper, we investigate the simultaneous state and unknown input (SUI) filtering issue for a class of multi-sensor networked systems (MSNSs). The unknown input with no prior knowledge is introduced in the system state and output. The focus of this paper is to design the local filters with regard to the SUI, which can yield that the local upper bounds of the filtering error covariance for the SUI are derived at each instant. Moreover, the local filter gains of the SUI are designed such that the obtained upper bounds can be minimized. Finally, the proposed joint SUI algorithm is verified by using the simulation example.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839887","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
An auxiliary assembly method of industrial structural parts based on virtual-real fusion 基于虚实融合的工业结构件辅助装配方法
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016410
Shengyong Li, Linqing Du, Shiyao Xu, Hongyu Wang
{"title":"An auxiliary assembly method of industrial structural parts based on virtual-real fusion","authors":"Shengyong Li, Linqing Du, Shiyao Xu, Hongyu Wang","doi":"10.1109/ccis57298.2022.10016410","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016410","url":null,"abstract":"Assembly is an important part of industrial production. With the development of industrialization, industrial structural parts are more complex, there are large differences between parts, the product structure is complex, and the quality requirements of the assembly link are increased, resulting in the backwardness of the original assembly link. In order to solve the above problems, an auxiliary assembly method based on virtual-real fusion is proposed, which can realize the high-precision assembly of complex structure products and simplify the assembly operation. On the basis of manual assembly, the virtual drawing projection module is added, which can realize the combination of virtual drawing and physical assembly version, and then assist workers in assembly. The PnP algorithm is used to solve the spatial 3D information of the assembly target by using the circle center data based on 4 feature points. The performance analysis and simulation results show that the proposed method not only realizes the efficient assembly of industrial product structural parts, but also has high precision, which can meet the diverse assembly needs of the factory.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121688599","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
Cloud Native Virtual Computing Cluster 云原生虚拟计算集群
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016430
Jianli Zhang, Min Han
{"title":"Cloud Native Virtual Computing Cluster","authors":"Jianli Zhang, Min Han","doi":"10.1109/ccis57298.2022.10016430","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016430","url":null,"abstract":"Computer cluster is required in many scenarios, especially in the field of distributed computing and testing. The method proposed in this paper is to build a virtual computing cluster (including one or more virtual machines, and these virtual machines form a local area network) in a container, then deploy the virtual computing cluster on the cloud in the form of cloud service. This article mainly involves the design and implementation of virtual computing cluster, as well as the deployment of virtual computing cluster on the Kubernetes platform in the form of service, thereby providing a stable (self-healing is one of the characteristics of Kubernetes, which can ensure stability) virtual computing cluster to users.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115514795","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
Organizing Structure 组织结构
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016362
{"title":"Organizing Structure","authors":"","doi":"10.1109/ccis57298.2022.10016362","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016362","url":null,"abstract":"","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994591","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
Cascaded ASPP and Attention Mechanism-based Deeplabv3+ Semantic Segmentation Model 基于级联ASPP和注意机制的Deeplabv3+语义分割模型
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI: 10.1109/ccis57298.2022.10016433
Shuaiping Guo, Changming Zhu
{"title":"Cascaded ASPP and Attention Mechanism-based Deeplabv3+ Semantic Segmentation Model","authors":"Shuaiping Guo, Changming Zhu","doi":"10.1109/ccis57298.2022.10016433","DOIUrl":"https://doi.org/10.1109/ccis57298.2022.10016433","url":null,"abstract":"Deeplabv3+ is a standard semantic segmentation model, which adds decoding structure to recover spatial information of the image and uses the Atrous Spatial Pyramid Pooling (ASPP) module to solve the multi-scale problem of the image. However, the Deeplabv3+ model has some drawbacks regarding restoring details. Therefore, we propose the CB_Deeplabv3+ model. In the encoding structure of the CB_Deeplabv3+ model, we use ASPP modules cascaded in parallel to extend the network structure and enable the model to capture richer context information by increasing the information interaction between channels. At the same time, CB_Deeplabv3+ introduced the Convolutional Block Attention Module(CBAM) to solve the long-distance dependence problem in the encoding-decoding structure. Experimental evaluation results on the Part_VOC dataset show that CB_Deeplabv3+ achieves excellent performance for semantic segmentation.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129760172","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
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