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2021 International Conference of Social Computing and Digital Economy (ICSCDE)最新文献

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Update the power project knowledge graph of power project using Neo4j Graph Database 使用Neo4j图形数据库更新电力项目知识图谱
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00082
Haibo Liu, Yang Cao, Pengcheng Liu, Huimin Yang, Rui Sun, Yingliang Huang, Yuanmiao Gui, Wenbo Li
{"title":"Update the power project knowledge graph of power project using Neo4j Graph Database","authors":"Haibo Liu, Yang Cao, Pengcheng Liu, Huimin Yang, Rui Sun, Yingliang Huang, Yuanmiao Gui, Wenbo Li","doi":"10.1109/ICSCDE54196.2021.00082","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00082","url":null,"abstract":"The power knowledge graph is able to realize semantic-based power knowledge searching. After the constructing of the current power knowledge graph, the power data in graphs are not often updated. With the increasing of power project data and the change of existing power project progress, it is necessary to update the power project knowledge graph. In order to ensure the effective of the power project knowledge graph, the old power knowledge graph should be updated using the new power data. The method, which is used for updating the current power knowledge graph using Neo4j graph database through Cypher, was proposed in this paper. The proposed power project knowledge graph updating method is not only for per-data, but also effective for batch data. This proposed method can deal with different demand scenarios, expand the knowledge graph of power technology and ensure the accuracy of the content of the knowledge graph.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498596","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: 2
Adaptive control of cutting temperature for CNC machine tool 数控机床切削温度的自适应控制
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00021
Haifei Long
{"title":"Adaptive control of cutting temperature for CNC machine tool","authors":"Haifei Long","doi":"10.1109/ICSCDE54196.2021.00021","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00021","url":null,"abstract":"In order to overcome the problems of low temperature monitoring accuracy and high control error rate existing in traditional cutting temperature control methods, a new adaptive temperature control method for CNC machine tools is proposed in this paper. In order to improve the adaptive control accuracy of cutting temperature of CNC machine tools, a fuzzy monitor of cutting temperature is designed to realize the real-time monitoring of cutting temperature of CNC machine tools. Based on the real-time monitoring results of cutting temperature of CNC machine tools, Gauss heat source model is used to describe the heat flow distribution of cutting heat source. In two-dimensional space, through the heat source density and boundary conditions, the cutting temperature adaptive control function is constructed to complete the cutting temperature adaptive function of CNC machine tool. The experimental results show that, compared with the traditional control method, this method can accurately monitor the cutting temperature of CNC machine tools, and can accurately carry out the adaptive control of cutting temperature, and the maximum control error rate is less than 3%.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122993333","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 Pop Music Style Recognition and Classification Approach Based on DBN 基于DBN的流行音乐风格识别与分类方法
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00016
Baohua Ao
{"title":"A Pop Music Style Recognition and Classification Approach Based on DBN","authors":"Baohua Ao","doi":"10.1109/ICSCDE54196.2021.00016","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00016","url":null,"abstract":"In order to study the parameter selection and performance of deep belief network(DBN) in the classification of popular music, this paper proposes a music style recognition and classification algorithm based on feature selection and DBN. Firstly, the scheme preprocesses the music signal to obtain Mel's spectrum, and proposes the basic structure of music analysis by machine learning. Then, the conditional activation probability formula of feature fusion is redefined for the defect chapter of the restricted Boltzmann machine, and its learning algorithm is improved. Finally, the accuracy of classification is tested on FMA dataset. The simulation results show that the music characteristics of this paper have better classification effect than MFCC coefficient, and the training time is greatly reduced.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124748985","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
Speech Recognition Method Based on Deep Learning and Its Application 基于深度学习的语音识别方法及其应用
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00075
Xiaohui Chu
{"title":"Speech Recognition Method Based on Deep Learning and Its Application","authors":"Xiaohui Chu","doi":"10.1109/ICSCDE54196.2021.00075","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00075","url":null,"abstract":"To generate better evaluation and feedback in speech recognition for language learning, this paper proposes a computer-aided training scheme. We first analyze the speech processing flow of the foreign language training and learning system based on speech recognition technology. Then HMM based speech recognition technology for feature parameter extraction is adopted for codebook generation and template training and the improved Viterbi model is used to reduce the amount of Gauss computation. Finally, the expert database is used to correct phonemes, illustrated by oral English training in real environment. With the real scene data of large-scale oral English tests, the proposed method improves the recognition accuracy by 15%, which can provide learners timely, accurate and objective evaluation and feedback guidance.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115983682","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 Design of Interactive Online English Translation System Based on Deep Learning 基于深度学习的交互式在线英语翻译系统设计
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00011
Jun Cai
{"title":"A Design of Interactive Online English Translation System Based on Deep Learning","authors":"Jun Cai","doi":"10.1109/ICSCDE54196.2021.00011","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00011","url":null,"abstract":"In order to overcome the low translation speed and accuracy of traditional online English translation system, this paper proposes a new interactive English translation system based on deep learning. Based on B/S architecture, a three-tier system architecture is designed. The hardware part of the system includes corpus preprocessing module, English morphology classification module and interactive online translation service module to improve the performance of the system. In the software part of the system, the two-way long-term and short-term memory network of deep learning technology is used to extract features of English translation data, so as to improve the accuracy of translation. The experimental results show that, compared with the existing translation system, the translation speed and accuracy of the designed system are effectively improved, so the practical application performance of the designed system is strong.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130212465","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: 2
Comprehensive evaluation model of smart city economic management efficiency based on multidimensional data mining 基于多维数据挖掘的智慧城市经济管理效率综合评价模型
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00030
Ziyu Xu, Jingpeng Wu
{"title":"Comprehensive evaluation model of smart city economic management efficiency based on multidimensional data mining","authors":"Ziyu Xu, Jingpeng Wu","doi":"10.1109/ICSCDE54196.2021.00030","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00030","url":null,"abstract":"In order to improve the comprehensive evaluation quality of the economic management efficiency of smart city, multidimensional data mining technology is applied to the comprehensive evaluation modeling of the economic management efficiency of smart city. In order to avoid the maximum distance between classes caused by the large sample problem, MMC algorithm is used to mine multi-dimensional data from multiple dimensions, including the status, rationality and management mode of smart city economic management. Based on the multi-dimensional data of smart city economy, it is necessary to build an evaluation index system. The weight of each evaluation index is calculated, and in order to eliminate the influence of dimension, the index is quantized. Combined with entropy and coefficient of variation, the calculation model of comprehensive evaluation index of smart city economic management efficiency is calculated. The experimental results show that, compared with the traditional evaluation methods, the text method can ensure the evaluation efficiency and improve the evaluation accuracy.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123447779","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
Early warning system of Alzheimer's disease based on deep learning 基于深度学习的阿尔茨海默病预警系统
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00044
Feng Gao, Bo Yue, Quan Yang
{"title":"Early warning system of Alzheimer's disease based on deep learning","authors":"Feng Gao, Bo Yue, Quan Yang","doi":"10.1109/ICSCDE54196.2021.00044","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00044","url":null,"abstract":"In order to overcome the problem that the signal-to-noise ratio of disease image is too low in the traditional early warning system of Alzheimer's disease, which leads to the low warning accuracy, this paper proposes a new early warning system of Alzheimer's disease based on deep learning. Design the network structure of the early warning system, and design the login registration module, early warning module and personal information modification module according to the system operation requirements. In the software part, the early MRI images of Alzheimer's disease are registered, and the registration results are input into the artificial neural network of deep learning technology, and the output results are the final early warning results. The experimental results show that, compared with the traditional early warning system, the output signal-to-noise ratio and early warning accuracy of image registration are higher, which shows that the system can effectively improve the effectiveness of early warning.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126114417","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 Grid Emergency Frequency Control Method Based on Synergistic Cooperation Between Submerged Arc Furnace and Energy Storage 基于埋弧炉与储能协同的电网应急频率控制方法
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00060
Feixiang Gong, Songsong Chen, Haijing Zhang, Mingqiang Zhang, Qingfang Yu, Dezhi Li, Jiyan Liu
{"title":"Power Grid Emergency Frequency Control Method Based on Synergistic Cooperation Between Submerged Arc Furnace and Energy Storage","authors":"Feixiang Gong, Songsong Chen, Haijing Zhang, Mingqiang Zhang, Qingfang Yu, Dezhi Li, Jiyan Liu","doi":"10.1109/ICSCDE54196.2021.00060","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00060","url":null,"abstract":"The fluctuation of high penetration of new energy has brought great challenges to the frequency stability control of power grid. In order to solve this difficulty of frequency stability control in the future, the demand response based on high energy consumption industrial load has great prospects. This paper proposes an emergency frequency control method for power grid based on the coordination of submerged arc furnace load and energy storage. Firstly, the system frequency deviation is introduced into the load of submerged arc furnace and energy storage so that their active power can quickly respond to frequency variation to provide fast power support for the power grid and ensure the system frequency stability. Secondly, considering the state constraints of the submerged arc furnace and the energy storage and caculating the adjustable capacity, the ratio of the adjustable capacity is used to determine the active power regulation of each when participating in the emergency frequency control of the power grid. Finally, IEEE 3-generators 9-buses system is built on RTDS platform to verify effectiveness of the proposed control method.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129468710","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 the difference of head calibration between the THOR 50M dummy and HYBRID III 50th dummy THOR 50M假人与HYBRID III 50假人头部标定的差异研究
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00071
Zhixin Liu, Wei-Dong Liu, Weijie Ma, Bingxu Duan
{"title":"Research on the difference of head calibration between the THOR 50M dummy and HYBRID III 50th dummy","authors":"Zhixin Liu, Wei-Dong Liu, Weijie Ma, Bingxu Duan","doi":"10.1109/ICSCDE54196.2021.00071","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00071","url":null,"abstract":"In order to explore the difference between the head calibration of the THOR 50M dummy and the HYBRID III 50th dummy, the head structure of the two dummies are compared and analyzed, and then the calibration methods are compared, and the calibration performance indexes of the two dummies are compared. The results show that the head structure of the THOR 50M dummy is more complex than that of the HYBRID III 50th dummy, The head part of the THOR 50M dummy is three times that of the Hybrid III 50 dummy; The head calibration of the THOR 50M dummy consists of two parts, the forehead and the face, while the HYBRID III 50th dummy consists of only one part of the head. In the aspect of calibration performance index, the head calibration limits of the THOR 50M dummy and the HYBRID III 50th dummy are different, and the number of calibration indexes is also different. The calibration indexes of the THOR 50M dummy are more comprehensive.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128403253","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
Summary of Research Methods of Voice Activity 语音活动研究方法综述
2021 International Conference of Social Computing and Digital Economy (ICSCDE) Pub Date : 2021-08-01 DOI: 10.1109/ICSCDE54196.2021.00078
Shanmeng, A. Hamdulla, Mijit Ablimit
{"title":"Summary of Research Methods of Voice Activity","authors":"Shanmeng, A. Hamdulla, Mijit Ablimit","doi":"10.1109/ICSCDE54196.2021.00078","DOIUrl":"https://doi.org/10.1109/ICSCDE54196.2021.00078","url":null,"abstract":"As neural networks are more and more widely used in various fields, speech signal processing has also achieved many remarkable results in the field of deep learning. As a very important part of the front-end processing part of voice signal processing, voice endpoint detection is the basis of various voice tasks. Carrying out research on voice endpoint detection technology is of great value and significance in promoting the development of voice signal processing. This article gives a detailed overview of the development of voice endpoint detection technology, introduces the beginning to the development of voice endpoint detection in recent years, and the maturity of the current very popular deep learning application in voice endpoint detection technology. The traditional voice endpoint detection and based on The development trend of deep learning voice endpoint detection has been analyzed, and it has revealed the shortcomings of traditional voice endpoint detection, the limitations of voice endpoint detection based on deep neural networks, and the future development direction, so that it can be better built based on depth Neural network voice endpoint detection system.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130544655","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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