Most of the existing text similarity algorithms aim to improve the accuracy, but this introduces a high overhead because of scanning repeatedly the text to collect the necessary features. In order to achieve a good balance between accuracy and performance overhead, this paper proposes a novel method based on multi-algorithm collaboration, which we call HyAlg, is the abbreviation of Hybrid Algorithm. Hy Alg consists of two stages which are general similarity determination and structure similarity determination. The former uses the general features of the text to quickly complete the similarity determination, and initially eliminates a large number of dissimilar texts, thus reducing the time cost. On the basis of the former filtering results, the latter further determines the similarity from the perspective of text structure to ensure the accuracy of similarity determination. Our experimental and analysis show that Hy Alg is able to effectively reduce the performance cost of the algorithm while ensuring the accuracy.
{"title":"HyAlg: A Multi-algorithm Cooperation for Balancing Performance and Accuracy","authors":"Hongwei Zhou, Xiaojie Huang, Zhipeng Ke, Yuchen Zhang, Jinhui Yuan","doi":"10.1109/ICISCAE55891.2022.9927556","DOIUrl":"https://doi.org/10.1109/ICISCAE55891.2022.9927556","url":null,"abstract":"Most of the existing text similarity algorithms aim to improve the accuracy, but this introduces a high overhead because of scanning repeatedly the text to collect the necessary features. In order to achieve a good balance between accuracy and performance overhead, this paper proposes a novel method based on multi-algorithm collaboration, which we call HyAlg, is the abbreviation of Hybrid Algorithm. Hy Alg consists of two stages which are general similarity determination and structure similarity determination. The former uses the general features of the text to quickly complete the similarity determination, and initially eliminates a large number of dissimilar texts, thus reducing the time cost. On the basis of the former filtering results, the latter further determines the similarity from the perspective of text structure to ensure the accuracy of similarity determination. Our experimental and analysis show that Hy Alg is able to effectively reduce the performance cost of the algorithm while ensuring the accuracy.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115039768","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}
On the Internet platform, we can use big data mining technology to obtain rich teaching resources, assist classroom teaching, and change the previous relatively single word teaching content. When carrying out English word teaching, we should not only use textbooks to design courseware, but actively collect data resources such as pictures related to word teaching, and use these resources in courseware making to attract students' attention. In this paper, an intelligent recommendation system for English vocabulary learning is designed by using the intelligent recommendation model for English vocabulary learning. The function of uploading corpus is added to realize the automatic updating of the vocabulary. Integrate and update the learner ability model and learning style model, realize the accurate description of user groups, and improve the efficiency of system resource recommendation. Through static acquisition and dynamic mining method to obtain the basic information and behavior interaction data of users, form the characteristics of learners, infer the ability and learning style of learners through machine learning algorithm, improve the effectiveness of teaching and mobilize students' interest in learning.
{"title":"The Application of Big Data Analysis in College English Classroom Vocabulary Memory and Learning Efficiency Teaching","authors":"Fang Hua, Caili Liu","doi":"10.1145/3482632.3482711","DOIUrl":"https://doi.org/10.1145/3482632.3482711","url":null,"abstract":"On the Internet platform, we can use big data mining technology to obtain rich teaching resources, assist classroom teaching, and change the previous relatively single word teaching content. When carrying out English word teaching, we should not only use textbooks to design courseware, but actively collect data resources such as pictures related to word teaching, and use these resources in courseware making to attract students' attention. In this paper, an intelligent recommendation system for English vocabulary learning is designed by using the intelligent recommendation model for English vocabulary learning. The function of uploading corpus is added to realize the automatic updating of the vocabulary. Integrate and update the learner ability model and learning style model, realize the accurate description of user groups, and improve the efficiency of system resource recommendation. Through static acquisition and dynamic mining method to obtain the basic information and behavior interaction data of users, form the characteristics of learners, infer the ability and learning style of learners through machine learning algorithm, improve the effectiveness of teaching and mobilize students' interest in learning.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121226808","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}
Pub Date : 1900-01-01DOI: 10.1109/ICISCAE55891.2022.9927532
Yuanyuan Li, Yuan Shen, F. Zhou, Dan-Wei Shao, Xueliang Zhao, Yu Wang
With the incremental distribution network reform of a large number of micro energy network access systems, the formation of energy Internet with multi-micro energy network, which brings great risks to energy Internet scheduling. In view of the problems of multi-interest interaction and regulation operation caused by the access of multiple micro-energy grids to the energy Internet, this paper proposes an energy Internet optimization scheduling strategy with multiple micro-energy grids, which reduces the peak-to-valley difference of electricity load in the energy Internet, and realizes mutual benefit and win-win between various micro-energy grids and comprehensive energy operators.
{"title":"Optimal Scheduling of Energy Internet with Multiple Micro-Energy Networks","authors":"Yuanyuan Li, Yuan Shen, F. Zhou, Dan-Wei Shao, Xueliang Zhao, Yu Wang","doi":"10.1109/ICISCAE55891.2022.9927532","DOIUrl":"https://doi.org/10.1109/ICISCAE55891.2022.9927532","url":null,"abstract":"With the incremental distribution network reform of a large number of micro energy network access systems, the formation of energy Internet with multi-micro energy network, which brings great risks to energy Internet scheduling. In view of the problems of multi-interest interaction and regulation operation caused by the access of multiple micro-energy grids to the energy Internet, this paper proposes an energy Internet optimization scheduling strategy with multiple micro-energy grids, which reduces the peak-to-valley difference of electricity load in the energy Internet, and realizes mutual benefit and win-win between various micro-energy grids and comprehensive energy operators.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124292362","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}
Pub Date : 1900-01-01DOI: 10.1109/ICISCAE52414.2021.9590683
Ping Chen, Xiaotong Jiang, Longhui Li
With the rapid development of new energy vehicle industry, the recycling of automotive traction battery has become the focus of resource sustainable development. In order to build the whole life cycle digital management system, this paper innovatively designs data management system of the traceability of the traction battery, achieving the efficient management of traction battery life cycle data and providing data support for industrial policy research.
{"title":"Research and application of supervision mechanism for traction battery recycling based on big data technology","authors":"Ping Chen, Xiaotong Jiang, Longhui Li","doi":"10.1109/ICISCAE52414.2021.9590683","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590683","url":null,"abstract":"With the rapid development of new energy vehicle industry, the recycling of automotive traction battery has become the focus of resource sustainable development. In order to build the whole life cycle digital management system, this paper innovatively designs data management system of the traceability of the traction battery, achieving the efficient management of traction battery life cycle data and providing data support for industrial policy research.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121721067","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}
The transmission and storage process for the power data in an intelligent grid has problems such as a single point of failure in the central node, low data credibility, and malicious manipulation or data theft. The characteristics of decentralization and tamper-proofing of blockchain and its distributed storage architecture can effectively solve malicious manipulation and the single point of failure. However, there are few safe and reliable data transmission methods for the significant number and various identities of users and the complex node types in the power blockchain. Thus, this paper proposes a collaborative control scheme between on-chain and off-chain power data based on the distributed oracle technology. By building a trusted on-chain transmission mechanism based on distributed oracles, the scheme solves the credibility problem of massive data transmission and interactive power data between smart contracts and off-chain physical devices safely and effectively. Analysis and discussion show that the proposed scheme can realize the collaborative control between on-chain and off-chain data efficiently, safely, and reliably.
{"title":"Design of Collaborative Control Scheme between On-chain and Off-chain Power Data","authors":"Weixian Wang, Pingfu Chen, Mingyu Pan, Xianglong Li, Zhuoqun Li, Ruixin He","doi":"10.1109/ICISCAE52414.2021.9590719","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590719","url":null,"abstract":"The transmission and storage process for the power data in an intelligent grid has problems such as a single point of failure in the central node, low data credibility, and malicious manipulation or data theft. The characteristics of decentralization and tamper-proofing of blockchain and its distributed storage architecture can effectively solve malicious manipulation and the single point of failure. However, there are few safe and reliable data transmission methods for the significant number and various identities of users and the complex node types in the power blockchain. Thus, this paper proposes a collaborative control scheme between on-chain and off-chain power data based on the distributed oracle technology. By building a trusted on-chain transmission mechanism based on distributed oracles, the scheme solves the credibility problem of massive data transmission and interactive power data between smart contracts and off-chain physical devices safely and effectively. Analysis and discussion show that the proposed scheme can realize the collaborative control between on-chain and off-chain data efficiently, safely, and reliably.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"546 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115635367","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}
Pub Date : 1900-01-01DOI: 10.1109/ICISCAE52414.2021.9590650
Bowen Deng
Discipline construction, as a comprehensive and long-term work in universities, is the foundation and foundation for comprehensively improving the quality of personnel training and the academic and overall level of universities. From the perspective of higher education, discipline refers to a certain scientific field or a branch of science, which has a relatively systematic, relatively complete and independent theoretical system. This paper is the realization of business English discipline system construction based on data mining algorithm. On the basis of highlighting the basic concepts of data mining and the operation of association rules mining, the improved algorithm is put forward, which is superior and effective. The construction method of business English discipline system based on weighted Naive Bayes model calculates the comprehensive weight according to the discipline evaluation attributes and mutual information of different weights, constructs a business English discipline classifier, and realizes an automatic business English discipline classification prediction system, which provides a basic basis for the comprehensive evaluation of business English discipline and lays a foundation for the formulation of a new round of discipline development strategy.
{"title":"Construction of Business English Subject System Based on Data Mining Algorithm","authors":"Bowen Deng","doi":"10.1109/ICISCAE52414.2021.9590650","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590650","url":null,"abstract":"Discipline construction, as a comprehensive and long-term work in universities, is the foundation and foundation for comprehensively improving the quality of personnel training and the academic and overall level of universities. From the perspective of higher education, discipline refers to a certain scientific field or a branch of science, which has a relatively systematic, relatively complete and independent theoretical system. This paper is the realization of business English discipline system construction based on data mining algorithm. On the basis of highlighting the basic concepts of data mining and the operation of association rules mining, the improved algorithm is put forward, which is superior and effective. The construction method of business English discipline system based on weighted Naive Bayes model calculates the comprehensive weight according to the discipline evaluation attributes and mutual information of different weights, constructs a business English discipline classifier, and realizes an automatic business English discipline classification prediction system, which provides a basic basis for the comprehensive evaluation of business English discipline and lays a foundation for the formulation of a new round of discipline development strategy.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"60 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123305101","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}
Pub Date : 1900-01-01DOI: 10.1109/ICISCAE55891.2022.9927537
Yingjia Li, Qinghui Wang, Yue-zhong Li
An energy acquisition system is designed for the detection of atomic absorption spectrophotometer. Light energy detection is performed by photomultiplier tube which converts light energy signal from element lamp into pulsating weak voltage signal The secondary amplification circuit, filter circuit and zero adjustment circuit are designed to amplify the weak pulse voltage signal into DC voltage signal, so as to improve the anti-interference in signal transmission. The operational amplifier in the secondary amplifier circuit will introduce offset voltage, and the zero adjustment circuit is required to suppress the offset voltage; A high-precision AD converter is used for analog-to-digital conversion, and the corresponding filtering processing is carried out to obtain a high-precision energy signal. The practical application results show that the system design has the advantages of high precision, low signal-to-noise ratio and good real-time performance.
{"title":"Design of Optical Energy Detection System for Atomic Absorption Spectrophotometer","authors":"Yingjia Li, Qinghui Wang, Yue-zhong Li","doi":"10.1109/ICISCAE55891.2022.9927537","DOIUrl":"https://doi.org/10.1109/ICISCAE55891.2022.9927537","url":null,"abstract":"An energy acquisition system is designed for the detection of atomic absorption spectrophotometer. Light energy detection is performed by photomultiplier tube which converts light energy signal from element lamp into pulsating weak voltage signal The secondary amplification circuit, filter circuit and zero adjustment circuit are designed to amplify the weak pulse voltage signal into DC voltage signal, so as to improve the anti-interference in signal transmission. The operational amplifier in the secondary amplifier circuit will introduce offset voltage, and the zero adjustment circuit is required to suppress the offset voltage; A high-precision AD converter is used for analog-to-digital conversion, and the corresponding filtering processing is carried out to obtain a high-precision energy signal. The practical application results show that the system design has the advantages of high precision, low signal-to-noise ratio and good real-time performance.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121982135","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}
Pub Date : 1900-01-01DOI: 10.1109/ICISCAE55891.2022.9927548
Zongzhe Wang, Yanze Chen
This paper proposes an intelligent integrated system that integrates electrical parameter acquisition and video monitoring on one platform. This paper presents and applies an improved microcomputer protection algorithm combining a digital filter and a basic Fourier algorithm in the substation integrated automation system. By applying this system, the functions of remote monitoring of equipment conditions in the station, auxiliary monitoring of remote operation, monitoring of working behavior at the station, and auxiliary analysis of accidents can be realized. This facilitates equipment maintenance and troubleshooting, improving work efficiency, grid security, and economic efficiency.
{"title":"Research on Integrated Intelligent Monitoring System of Substation Based on Computer Artificial Intelligence Technology","authors":"Zongzhe Wang, Yanze Chen","doi":"10.1109/ICISCAE55891.2022.9927548","DOIUrl":"https://doi.org/10.1109/ICISCAE55891.2022.9927548","url":null,"abstract":"This paper proposes an intelligent integrated system that integrates electrical parameter acquisition and video monitoring on one platform. This paper presents and applies an improved microcomputer protection algorithm combining a digital filter and a basic Fourier algorithm in the substation integrated automation system. By applying this system, the functions of remote monitoring of equipment conditions in the station, auxiliary monitoring of remote operation, monitoring of working behavior at the station, and auxiliary analysis of accidents can be realized. This facilitates equipment maintenance and troubleshooting, improving work efficiency, grid security, and economic efficiency.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130897705","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}
Pub Date : 1900-01-01DOI: 10.1109/ICISCAE55891.2022.9927631
Xuezhi Chen
In order to improve the convenience and safety of vehicles in the process of automatic parking, an automatic vertical parking path planning method based on clothoid curve is proposed. When the environmental information and vehicle information are known, such as parking space position and size, vehicle position and heading angle, etc., considering the obstacle avoidance constraints and spatial constraints of the vehicle, a curvature continuous driving path is planned by using the clothoid curve to park the vehicle into the vertical parking space, and the vehicle is tracking controlled according to the Stanley algorithm. Considering the uncertainty of driver's behavior, the vehicle has a random initial heading angle before parking. For different initial heading angles, the vertical parking path planning of the vehicle is carried out, and its path planning and tracking control are simulated. The simulation results show that when the vehicle is in different initial positions and heading angles, this path planning method can better plan a parking path, and the tracking effect is good.
{"title":"Automatic Vertical Parking Path Planning Based on Clothoid Curve and Stanley Algorithm","authors":"Xuezhi Chen","doi":"10.1109/ICISCAE55891.2022.9927631","DOIUrl":"https://doi.org/10.1109/ICISCAE55891.2022.9927631","url":null,"abstract":"In order to improve the convenience and safety of vehicles in the process of automatic parking, an automatic vertical parking path planning method based on clothoid curve is proposed. When the environmental information and vehicle information are known, such as parking space position and size, vehicle position and heading angle, etc., considering the obstacle avoidance constraints and spatial constraints of the vehicle, a curvature continuous driving path is planned by using the clothoid curve to park the vehicle into the vertical parking space, and the vehicle is tracking controlled according to the Stanley algorithm. Considering the uncertainty of driver's behavior, the vehicle has a random initial heading angle before parking. For different initial heading angles, the vertical parking path planning of the vehicle is carried out, and its path planning and tracking control are simulated. The simulation results show that when the vehicle is in different initial positions and heading angles, this path planning method can better plan a parking path, and the tracking effect is good.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129330730","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}
Pub Date : 1900-01-01DOI: 10.1109/ICISCAE52414.2021.9590785
Qiang Fu, Xiang Liu, Xueyin Liu, Gonglei Liao
In this paper, an improved pure pursuit (IPP) for tractor autonomous navigation is proposed. The kinematics model is based on simplified two wheeled vehicle Ackermann model. By detecting the trend of deviation to the planned path, the looking-ahead distance, a key parameter in the pure tracking algorithm, is automatically adjusted to improve the accuracy of tracking the planned path. The simulation and field test show that the new method has higher accuracy and is easy to implement.
{"title":"An Improved Pure Pursuit Algorithm for Tractor Automatic Navigation","authors":"Qiang Fu, Xiang Liu, Xueyin Liu, Gonglei Liao","doi":"10.1109/ICISCAE52414.2021.9590785","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590785","url":null,"abstract":"In this paper, an improved pure pursuit (IPP) for tractor autonomous navigation is proposed. The kinematics model is based on simplified two wheeled vehicle Ackermann model. By detecting the trend of deviation to the planned path, the looking-ahead distance, a key parameter in the pure tracking algorithm, is automatically adjusted to improve the accuracy of tracking the planned path. The simulation and field test show that the new method has higher accuracy and is easy to implement.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115437401","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}
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