International Symposium on Computer Engineering and Intelligent Communications最新文献_第9页

Analysis of the current application of blockchain in social media 区块链在社交媒体中的应用现状分析

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660967

Ze Yang

{"title":"Analysis of the current application of blockchain in social media","authors":"Ze Yang","doi":"10.1117/12.2660967","DOIUrl":"https://doi.org/10.1117/12.2660967","url":null,"abstract":"Since the appearance of bitcoin, blockchain technology has been widely treated as an opportunity for businesses and the technology revolution. Until now, blockchain technology has been applied to several fields such as energy system evolution, Cryptocurrency, and social media. In this paper, the author mainly explored the current application of blockchain technology in social media, the algorithm behind blockchain technology, and the existing problem in blockchain technology. For the application in social media, this paper explores fake news detection, user trust framework, and decentralized online social network. For the algorithm behind blockchain technology, the Raft algorithm and Practical Byzantine Fault Tolerant algorithm are discussed in this paper. Moreover, one of the innovative consensus algorithms will be explained in the subsection. The following topics will be discussed in the existing problems section: Internet of Things issues, delayed confirmation, and information security. Finally, the author concluded that the current application of blockchain in social media is still developing, and more possibilities for blockchain application in social media will be found with further development.","PeriodicalId":220312,"journal":{"name":"International Symposium on Computer Engineering and Intelligent Communications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128529679","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 maintenance decision of complex equipment based on agent 基于agent的复杂设备维修决策研究

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2661099

Quan Zhou, Hong Zhang, Yali Wang

引用次数: 0

Research on urban greenway planning in the old city of Jinan City based on GIS interpretation and gravity model data 基于GIS解译和重力模型数据的济南市老城区绿道规划研究

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2661031

Fei Wang, Daohu Zhong, Min Lu

引用次数: 0

MSTDKD: a framework of using multiple self-supervised methods for semi-supervised learning MSTDKD:一个使用多种自监督方法进行半监督学习的框架

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2661030

Jiabin Liu, Xuanming Zhang, Jun Hu

{"title":"MSTDKD: a framework of using multiple self-supervised methods for semi-supervised learning","authors":"Jiabin Liu, Xuanming Zhang, Jun Hu","doi":"10.1117/12.2661030","DOIUrl":"https://doi.org/10.1117/12.2661030","url":null,"abstract":"Image classification is a basic task in the field of computer vision, and general image classification task training requires a large amount of labeled data to achieve good generalization performance. However, in practical applications, the cost of obtaining labeled data is expensive. In contrast, unlabeled images are easy to obtain, so semi-supervised image classification is more meaningful for research. This paper pro- poses a framework for semi-supervised classification utilizing multiple self-supervised methods. Our approach is divided into three steps, firstly, pre-train multiple models on unlabeled data using different self-supervised methods. Then use the labeled data to fine-tune these models except the model pre-training by Contrastive learning to obtaining multiple self-supervised teacher models. Finally, the multi-teacher knowledge distillation framework is used to transfer the knowledge of multiple self-supervised teacher models to the model pre-training by contrastive learning to help it achieve further performance. We conducted experiments on cifar10 and miniimagenet60. Our method achieves further results than using only a single self-supervised method, and also achieves superior performance compared to other semi-supervised methods.","PeriodicalId":220312,"journal":{"name":"International Symposium on Computer Engineering and Intelligent Communications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117132804","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

CLMalloc: contiguous memory management mechanism for large-scale CPU-accelerator hybrid architectures CLMalloc:大规模cpu -加速器混合架构的连续内存管理机制

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660807

Yushuqing Zhang, Kai Lu, Wen-zhe Zhang

{"title":"CLMalloc: contiguous memory management mechanism for large-scale CPU-accelerator hybrid architectures","authors":"Yushuqing Zhang, Kai Lu, Wen-zhe Zhang","doi":"10.1117/12.2660807","DOIUrl":"https://doi.org/10.1117/12.2660807","url":null,"abstract":"Heterogeneous accelerators play a crucial role in improving computer performance. General-purpose computers reduce the frequent communication between traditional accelerators with separate memory and the host computer through fast communication links. Some high-speed devices such as supercomputers integrate the accelerator and CPU on one chip, and the shared memory is managed by the operating system, which shifts the performance bottleneck from data acquisition to accelerator addressing. Existing memory management mechanisms typically reserve contiguous physical memory locally for peripherals for efficient direct memory access. However, in large computer systems with multiple memory nodes, the accelerator's memory access behavior is limited by the local memory capacity. The difficulty of addressing accelerators across nodes prevents computers from maximizing the benefits of massive memory. This paper proposes a contiguous memory management mechanism for a large-scale CPU-accelerator hybrid architecture (CLMalloc) to simultaneously support the different types of memory requirements of CPU and accelerator programs. In simulation experiments, CLMalloc achieves similar (or even better) performance to the system functions malloc/free. Compared with the DMA-based baseline, the space utilization of CLMalloc is increased by 2×, and the latency is reduced by 80% to 90%.","PeriodicalId":220312,"journal":{"name":"International Symposium on Computer Engineering and Intelligent Communications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126526167","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

Power operation ticket review system based on text recognition 基于文本识别的电力操作检票系统

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660952

Weidong Xiao, Qi Wang, Hui Wang, Yingjie Yang

引用次数: 0

Research on binocular ranging method based on feature point extraction and matching 基于特征点提取与匹配的双目测距方法研究

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660775

Ganquan Su, Lei Cheng

{"title":"Research on binocular ranging method based on feature point extraction and matching","authors":"Ganquan Su, Lei Cheng","doi":"10.1117/12.2660775","DOIUrl":"https://doi.org/10.1117/12.2660775","url":null,"abstract":"At present, artificial intelligence has become a hot topic, and the development of its related fields is also developing rapidly, among which visual ranging and image processing are particularly important for the development of artificial intelligence. Now there are many ranging methods are not fast enough, and measurement accuracy is not high, leading to the resulting estimates there are large deviation distance and the actual distance, such as unmanned vehicle, unmanned aircraft in operation process, cannot be accurately driving distance and obstacle avoidance, and existing deviations in robot grab, which cause personnel life safety is threatened, economic property damage. In order to solve the above related problems, this paper uses SIFT algorithm and ORB algorithm to extract feature points, and then through BFmatcher, FlannBasedMatcher, KnnMatch to match, finally get the corresponding distance, from the algorithm and accuracy of the two aspects of relevant research. It is concluded from the experimental measurement that FlannBasedMatcher takes into account both speed and accuracy after SIFT algorithm extraction, while ORB algorithm is faster than SIFT algorithm.","PeriodicalId":220312,"journal":{"name":"International Symposium on Computer Engineering and Intelligent Communications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132137435","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 underwater vehicle assembly and debugging management information system based on process node 基于过程节点的水下航行器装配调试管理信息系统设计

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660989

Shuaishuai Yang, Minhui Ding, Shuang Liu

引用次数: 0

3D human pose estimation with temporal and position enhancement 基于时间和位置增强的三维人体姿态估计

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660994

Yiding Wang, Xu Chen

引用次数: 0

The design of marine animal protection game based on emotional design 基于情感设计的海洋动物保护游戏设计

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660931

Yuehua Wu, Zeyu Lan

引用次数: 0