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2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)最新文献

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A Survey of FPGA Based on Graph Convolutional Neural Network Accelerator 基于图卷积神经网络加速器的FPGA研究进展
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00026
Zi Ming Xiong
{"title":"A Survey of FPGA Based on Graph Convolutional Neural Network Accelerator","authors":"Zi Ming Xiong","doi":"10.1109/icceic51584.2020.00026","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00026","url":null,"abstract":"In recent years, with rapid development of deep learning, neural networks have been explored thoroughly and regularly structured neural networks has been more powerful than ever. However, people are still suffering from trying to adapted conventional techniques to unstructured data structures. This paper introduces theoretical basis for graph convolutional networks, and the concept behind FPGA acceleration. Besides, this paper introduces different FPGA based approaches trying to accelerate the procedures of graph convolutional networks. The paper ends with a view into the future, proposing shortcomings of the current design approaches as well as challenges for future ones.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128578847","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: 4
A Method of Equipment Disassembly Path Planning Based on Directed Constraint Graph Disassembly Sequence 基于有向约束图拆卸序列的设备拆卸路径规划方法
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00014
Yang Cao, Hongtian Liu, Chao Song, Hongwei Wu, Dongjun Wang, Hai Lin
{"title":"A Method of Equipment Disassembly Path Planning Based on Directed Constraint Graph Disassembly Sequence","authors":"Yang Cao, Hongtian Liu, Chao Song, Hongwei Wu, Dongjun Wang, Hai Lin","doi":"10.1109/ICCEIC51584.2020.00014","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00014","url":null,"abstract":"This paper proposes a method of equipment disassembly and assembly path planning based on directed constraint graphs. By establishing a model of disassembly and assembly sequence based on directed constraint graphs, an assembly constraint matrix interference table is generated, and a directed constraint graph is used to describe parts. Then, we can quickly solve the constraint degree of the parts, optimize and improve the disassembly and assembly path, solve the problem of inefficient planning of the virtual maintenance and disassembly path of the equipment, and program the virtual operation steps for detecting disassembly and assembly. The paper provides technical support for the development of virtual maintenance training system.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125077321","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
Node Switching Method in Power Distribution Internet of Things based on Blockchain 基于区块链的配电物联网节点交换方法
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00062
Guanlin Si, Yue Sun, Wei Chen, Leran Chen
{"title":"Node Switching Method in Power Distribution Internet of Things based on Blockchain","authors":"Guanlin Si, Yue Sun, Wei Chen, Leran Chen","doi":"10.1109/ICCEIC51584.2020.00062","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00062","url":null,"abstract":"With the rapid development of communication and network technology, the Internet of Things for power distribution has become an increasingly important hot topic. Meanwhile, the security at the terminal level of the power distribution Internet of Things is relatively weak. As terminals with different security zones share the same frequency, the adversary may steal the privacy-sensitive information by controlling one of the terminals, particularly in node switching. In this paper, we use block chain and trusted computing technology to realize the secure node switching.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666823","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
Cross-area Node Selection Algorithm for Data Replica Storing in Cloud Data Centers 云数据中心数据副本存储的跨区域节点选择算法
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00044
Yang Lu, Changlin Xu, Yan Zheng
{"title":"Cross-area Node Selection Algorithm for Data Replica Storing in Cloud Data Centers","authors":"Yang Lu, Changlin Xu, Yan Zheng","doi":"10.1109/ICCEIC51584.2020.00044","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00044","url":null,"abstract":"With the arrival of cloud computing and big data, enterprise application systems are supported by massive data storing in cloud data centers (CDCs), in which the popular open-source NoSQL databases (Cassandra, HBase, MongoDB) are utilized to cope with high concurrency, high availability, and high scalability. There are still two challenging issues: (1) When the consistency level and replica number is specified, selecting the appropriate nodes for data replicas to reduce the communication latency is necessary. (2) A tradeoff between reliability and synchronization time should be discussed in CDCs. In this paper, a cross-area node selection algorithm (CANSA) is proposed to minimize the communication latency, then a new method to adjust reliability in the data center is designed. Numerical results in the Cassandra cluster of CDCs demonstrate that the CANSA provides excellent consensus ratio, synchronization, and latency.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126914098","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
Discussion on the Research and Analysis of Computer Remote Network Communication Technology 浅谈计算机远程网络通信技术的研究与分析
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00007
Shaofu Luo
{"title":"Discussion on the Research and Analysis of Computer Remote Network Communication Technology","authors":"Shaofu Luo","doi":"10.1109/icceic51584.2020.00007","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00007","url":null,"abstract":"Nowadays, the upgrading of computer technology and the continuous expansion of the area covered by the Internet have also created a large space for the development of remote network communication technology. In order to ensure the stable and efficient use of computer remote communication technology, we need to have sufficiently powerful communication functions and flexible selection of local area networks and wide area networks. At present, computer remote network communication technology is very suitable for people’s actual life. In order to use this technology efficiently, it is necessary for related technology developers and researchers to timely debug the defects of the technology and do a good job in technical research, analysis and discussion.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522320","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
Approximate calculation of Crofton formula 克罗夫顿公式的近似计算
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00045
Shuyuan Cai, P. Long, Qihan Wei, LinTong Zhang
{"title":"Approximate calculation of Crofton formula","authors":"Shuyuan Cai, P. Long, Qihan Wei, LinTong Zhang","doi":"10.1109/icceic51584.2020.00045","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00045","url":null,"abstract":"Crofton formula has attracted much attention in differential geometry, which can be used to calculate the length of the curve. This article starts with the concept and definition of Crofton formula on the sphere, and gives out approximate calculation formula of a curve on spherical surface based on surf segmentation. The triangular grid of the geodesic dome and Marsaglia Polar Method are adopted to generate random points for an equal division of the sphere. This article takes the circular arc on the sphere as an example, through MATLAB simulation, the length was calculated by approximation of Crofton’s formula. This calculation method can be extended to approximate calculation of the length of any curve in space, which will have a profound impact on practical engineering applications.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"265 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114059345","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 Asynchronous Game-based algorithm to the Weighted Vertex Cover of Networks 基于异步游戏的网络加权顶点覆盖算法
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00036
Kaiyi Luo
{"title":"An Asynchronous Game-based algorithm to the Weighted Vertex Cover of Networks","authors":"Kaiyi Luo","doi":"10.1109/ICCEIC51584.2020.00036","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00036","url":null,"abstract":"Minimum weighted vertex cover (MWVC) problem of weighted networks is one of the most important combinatorial optimization problems in network optimization. This paper models the MWVC problem as an asymmetric game on weighted networks. Then, an asynchronous game-based algorithm (AGB) is proposed to solve the MWVC problem, which can guarantee to obtain a vertex cover (VC). Numerical illustrations verify the performance of the proposed game solution on the representative weighted networks.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114247301","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
Urban Functional Area and Its Visualization in the Era of Big Data 大数据时代的城市功能区及其可视化
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00034
Zehan Yang
{"title":"Urban Functional Area and Its Visualization in the Era of Big Data","authors":"Zehan Yang","doi":"10.1109/ICCEIC51584.2020.00034","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00034","url":null,"abstract":"The study of urban functional area can test the rationality of urban land use and optimize the urban spatial structure. Taking the urban area of Beijing as an example, this paper studies the structure of urban functional area based on the kernel density analysis method by using geographic information system (GIS) technique and the point of interest (POI) data. The results show that the catering services in Beijing are mostly concentrated in the city center, while few of them are distributed in the suburbs. Residential areas are separated relatively even in spatial, there is high distribution density in most district area. Based on the demand of urban residential, residential areas are accompanied with parks and squares, and these two types of data have almost the same spatial distribution features. Shopping malls are mainly distributed in the city center, which is interconnected with the local consumption level. Hospitals are necessarily located in every region. To sum up, the analysis result demonstrates that the distribution pattern is highly centralized and sparsely dispersed in the surrounding areas with less coverage, which shows that the functional land use in Beijing is relatively saturated in the downtown area, and is still developing in the suburb areas.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680306","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 real-time recognition of upper limb micro motions based on sEMG signals 基于表面肌电信号的上肢微运动实时识别
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00009
Changcheng Shi, Sijia Ye, Yehao Ma, Guokun Zuo
{"title":"The real-time recognition of upper limb micro motions based on sEMG signals","authors":"Changcheng Shi, Sijia Ye, Yehao Ma, Guokun Zuo","doi":"10.1109/ICCEIC51584.2020.00009","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00009","url":null,"abstract":"Myoelectric interface offers a promising tool for detecting motion intention and extent of movement effort. However, how to achieve motion intention recognition accurately and fast using electromyography (EMG) is an important issue. Many studies present great recognition accuracy, while there is few studies focus on motion recognition speed improvement through exploring motion trend (micro motion) decoding, which is of key importance for the online control strategy of rehabilitation robot. In this paper, we explored the performance of machine learning algorithm in micro motion recognition. The performance of support vector machine (SVM) model was tested for five upper-limb micro motions. As a result, the SVM-based model provides satisfying online performance across all the subjects and motions, achieving an accuracy of 89.7±3.9 % and a total motion recognition time of 0.74±0.08 s. The results show that machine learning algorithm combined with EMG technology can provide accurate and fast upper-limb micro motion intention recognition.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"707 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123836767","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 new intelligent retail container system with a dual neural network model design 一种新型智能零售集装箱系统的双神经网络模型设计
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00025
Min Zeng, Shengjian Wu, Fang Li, Guosheng Hu
{"title":"A new intelligent retail container system with a dual neural network model design","authors":"Min Zeng, Shengjian Wu, Fang Li, Guosheng Hu","doi":"10.1109/ICCEIC51584.2020.00025","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00025","url":null,"abstract":"In recent years, image recognition technology based on deep learning has become the main solution for intelligent retail containers (IRC). This article introduces a new intelligent retail container system with a dual neural network model. Compared with the previous single-model design, the new one has significantly improved its detection recall and classification accuracy besides reducing greatly the model's retraining time caused by the increasing in new retail varieties. First, using the Faster RCNN model to complete the rough detection of retail categories (classified by outer package) to improve the detection recall; second, using the ResNet50 model to complete the fine classification of retail subcategories (classified by goods variety) to promote classification accuracy. At the same time, a variety of ablation experiments are carried out on the hard samples set of our project by means of several data augments. Some design methods and practical experience proposed in this article can be helpful for the CV (computer vision) incubation projects in the landing stage.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"130 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129980647","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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