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2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)最新文献

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Linked Lists Storage for JSON Data JSON数据的链表存储
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00079
Teng Lv, Ping Yan, Hongwu Yuan, Weimin He
{"title":"Linked Lists Storage for JSON Data","authors":"Teng Lv, Ping Yan, Hongwu Yuan, Weimin He","doi":"10.1109/ICAA53760.2021.00079","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00079","url":null,"abstract":"JSON is a popular standard to transform and exchange for data format of different applications on the World Wide Web. With the rapid popularity of its use in various applications, it is very critical and practical to invent some kind of workable ways to store and process data of JSON formats. First, we survey the state of art methods to store JSON data. There are mainly three ways to store JSON data document: the first way uses native data type of databases to store JSON data, the second way uses a mapping or wrapper layer on database management systems to map or wrap JSON data into the underlying databases, and the third way integrates JSON data in commercial database systems. We analyse and compare the above three methods and point out the advantages aspects and disadvantages aspects of the above methods. Then, we give a formal description of JSON data based on tree model which can describe the data structures and semantics of the underlying JSON data. Finally in the paper, a method is proposed to deal with the above problem. The method uses a data structure called linked lists to store JSON documents. The advantage of the method is that both the key/value pair and the relationships between keys of JSON documents are captured and preserved by the links using data structure of the linked lists.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875589","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
Dynamic Graph Attention Recurrent Neural Networks for Fact Verification 动态图注意递归神经网络的事实验证
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00085
Zhijuan Zhan, Chonghao Chen, Chengyu Song, Ai-min Luo, Fei Cai
{"title":"Dynamic Graph Attention Recurrent Neural Networks for Fact Verification","authors":"Zhijuan Zhan, Chonghao Chen, Chengyu Song, Ai-min Luo, Fei Cai","doi":"10.1109/ICAA53760.2021.00085","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00085","url":null,"abstract":"Fact verification is a recently introduced task, which is quired to judge the authenticity of a claim. Previous works mainly leverage extracting the semantic relations of claim and evidences, e.g., using the graph to model their relation. However, these graph-based models ignore the features evolution over different step graph propagation. In addition, they fail to capture the sequence features of evidence graph. To deal with the above issues, we propose a dynamic graph attention recurrent neural network for fact verification. Specifically, we design a dynamic memory mechanism to retain the node features in the updating process. Moreover, we propose a graph attention recurrent neural networks to aggregate features based on the logical order. Experimental results on FEVER dataset demonstrate the effectiveness of our model, especially in the multi-evidence scenario.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124627218","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
Smart Region System Architecture and Technologies 智能区域系统架构与技术
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00067
Hua Wang, Zhiyuan Chen, Bo Hu, Chao Guo, Feng Yue
{"title":"Smart Region System Architecture and Technologies","authors":"Hua Wang, Zhiyuan Chen, Bo Hu, Chao Guo, Feng Yue","doi":"10.1109/ICAA53760.2021.00067","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00067","url":null,"abstract":"Based upon the synopsis of information technology development and smart region system, this paper puts forward the architecture, the constitution and the related functions of smart region system, and sets forth a series of related technologies, such as lifecycle data safe control technology, intelligent and joint operation technology, and system architecture, network and software expansibility technology, and moreover, the effectiveness analysis is carried out with a performance comparison between the existed smart region system and the before region system. This will help to advance the further evolution of smart region system and the continual improvement of IOT+ engineering.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121699791","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
Classification of Judicial Documents Based on Improved Bert Model 基于改进Bert模型的司法文书分类
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00173
Lingci Meng, Zhongbao Wan, Zhaohua Huang, Zhihao Zhang, Qian Hu
{"title":"Classification of Judicial Documents Based on Improved Bert Model","authors":"Lingci Meng, Zhongbao Wan, Zhaohua Huang, Zhihao Zhang, Qian Hu","doi":"10.1109/ICAA53760.2021.00173","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00173","url":null,"abstract":"Bert model is the most comprehensive language model proposed in the past two years. It uses large-scale unlabeled prediction to train the representation of text with rich semantic information, that is, the semantic representation of text. Then, the semantic representation of the text is slightly tuned in a specific NLP task. Finally, it is applied to the NLP task, and has good performance in various natural language processing tasks Performance. For the classification of judicial documents, proposed a based on the improved Bert model way. The word vector is provided through the pre training model Bert. The semantic information is embedded into the LSTM model through the context of the Bert model. LSTM model is which is solves the problems of gradient disappearance and gradient explosion in long sequence Through the self attention mechanism, the important information in the text is given higher weight, and LSTM is used to encode the sequence and feature fusion contain category information. Through the Bert model and Bert-LSTM model, we can see that in accuracy improved 4.55% of the Bert-LSTM model.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116416084","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
Construction of Text Emotion Classification Model Based on Convolutional Neural Network 基于卷积神经网络的文本情感分类模型构建
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00056
Ruhua Lu, Yalan Li, Yanwen Yan
{"title":"Construction of Text Emotion Classification Model Based on Convolutional Neural Network","authors":"Ruhua Lu, Yalan Li, Yanwen Yan","doi":"10.1109/ICAA53760.2021.00056","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00056","url":null,"abstract":"Text emotion analysis transforms a text sequence of indefinite length into text category which is one of the key research problems in the field of natural language processing. With the wide application of deep learning technology in natural language processing the text emotion analysis model based on deep learning has made a new breakthrough. This paper builds a basic framework of text emotion analysis and describes it from two aspects data preprocessing and design of network structure of revolutionary neural network. Data preprocessing mainly involves word segmentation model and word embedding. Design of network structure of revolutionary network is the basic structure of the revolutionary network (CNN) including input layer convolution layer pool layer full connection layer and output layer. Finally the feasibility of the method is verified by experiments.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126333579","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 Subtraction Operation Converter with Multiple Outputs and Its Control Strategy 多输出减法运算变换器及其控制策略
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00170
Zhe Wang, Haiqing Zhang, Jing Chen, Zhanwei Li, Yusheng Zheng
{"title":"A Subtraction Operation Converter with Multiple Outputs and Its Control Strategy","authors":"Zhe Wang, Haiqing Zhang, Jing Chen, Zhanwei Li, Yusheng Zheng","doi":"10.1109/ICAA53760.2021.00170","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00170","url":null,"abstract":"Electrolysis and electroplating require abundant voltage waveforms. Traditional electroplating converters can only provide a single output waveform. This paper presents a converter with multiple output waveforms, which can realize various required waveforms by subtraction operation. Compared with traditional converters, the proposed converter has a simple structure and is easy to control. Only one converter can realize multiple voltage waveform outputs. The proposed converter is suitable for electrolysis, electroplating and other occasions that require multiple types of output waveforms. The converter topology is analyzed theoretically, and the control strategy of the proposed converter is designed. Experimental results are provided to demonstrate the correctness and feasibility of the proposed converter and its control strategy.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719189","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
Discussion on the Importance of Realizing Two Balances in Double-channel Cigarette Machine 浅谈双通道卷烟机实现两平衡的重要性
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00159
Ming Chen, Miaojie Shen, Zida Chen, Shunkai Sun, Di Xu, Jin Jin, Min Chen, Zanzan Chen, Qianqian Sha
{"title":"Discussion on the Importance of Realizing Two Balances in Double-channel Cigarette Machine","authors":"Ming Chen, Miaojie Shen, Zida Chen, Shunkai Sun, Di Xu, Jin Jin, Min Chen, Zanzan Chen, Qianqian Sha","doi":"10.1109/ICAA53760.2021.00159","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00159","url":null,"abstract":"Based on the concept of a pyramid black box maintenance method model, this paper analyzes the application results of single-channel cigarette machine equipment in order to explore the root cause of the influence of double-channel cigarette equipment on cigarette quality. Through analyzing the relevant mechanism of the equipment, this paper makes targeted research on the equipment structure, cigarette process parameters, detection system and other aspects of the double-channel cigarette machine, systematically associates the relevant operation parameters, detection devices, control and processing systems and other mechanisms of the equipment, carries out measurement, test, statistics and analysis on this basis. Through the concept of “two balances”, deepen the scientific management mode, strengthen lean maintenance and preventive maintenance, absorb the key points proposed by the project team that affect the quality of cigarettes, and finally evaluate the significance of realizing “two balances” for the technological innovation of our factory and the promotion of all aspects in the whole tobacco field.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531756","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
Unsupervised Learning Neural-Network Method for Resource Allocation in Multi-cell Cellular Networks 多细胞网络资源分配的无监督学习神经网络方法
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00080
Ming Sun, Liangjin Hu, Wei Cao, Hui Zhang, Shumei Wang
{"title":"Unsupervised Learning Neural-Network Method for Resource Allocation in Multi-cell Cellular Networks","authors":"Ming Sun, Liangjin Hu, Wei Cao, Hui Zhang, Shumei Wang","doi":"10.1109/ICAA53760.2021.00080","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00080","url":null,"abstract":"In order to meet requirements of high speed, low energy consumption and low latency of resource allocation in multi-cell cellular networks, an unsupervised learning based resource allocation method is proposed. The unsupervised learning based resource allocation method contains an unsupervised learning based power control neural network (NNPC) and an unsupervised learning based channel allocation neural network (NNCA). The NNPC is constructed to output optimized channel power to maximize the expectation of linear weighted sum of transmission rate and energy efficiency, and the NNCA is constructed to combine the NNPC to further optimize the expectation of linear weighted sum of transmission rate and energy efficiency. The simulation results show that the proposed method can obtain better transmission rate and energy efficiency than other algorithms under the premise of ensuring low delay.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131309711","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
Diagnosis of Esophagitis Based on Deep Learning 基于深度学习的食管炎诊断
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00075
Yuling Hou, Luhong Diao, Na Lu, Ying Li, Yong Qiao
{"title":"Diagnosis of Esophagitis Based on Deep Learning","authors":"Yuling Hou, Luhong Diao, Na Lu, Ying Li, Yong Qiao","doi":"10.1109/ICAA53760.2021.00075","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00075","url":null,"abstract":"With the advent of the information age, medical image classification technology has become a hot research topic in the field of computer vision. Based on the Tensorflow deep learning framework, a ResNet model of esophagitis disease recognition from gastrointestinal mirror image is established in this paper. Further, the random erasing data augmentation algorithm RE is applied to optimizing the images, which are then used in the network. As a result, the accuracy of the optimized network over the Kvasir data set can reach 97%.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132775467","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 Language Landscape of Virtual Space 虚拟空间语言景观研究
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI: 10.1109/ICAA53760.2021.00134
Jing Zhang
{"title":"Research on Language Landscape of Virtual Space","authors":"Jing Zhang","doi":"10.1109/ICAA53760.2021.00134","DOIUrl":"https://doi.org/10.1109/ICAA53760.2021.00134","url":null,"abstract":"With the development of Internet use, the research scope of language landscape is gradually expanding to the direction of virtual space. Language landscape is a new approach to multilingual research. Based on the theory of Linguistic Landscape Science, this article has found out that the official tourism websites of Nanchang appear to present its contents, in terms of overall linguistic landscape, in such ways as linguistic power & status and multimodal language. Therefore, the websites may optimize the linguistic landscape construction according to four principles of highlighting own advantages, rational analysis on audiences, giving priority to self-identity of subject and balancing relation of power and influence, to accelerate construction of Nanchang as an international metropolis.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132918638","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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