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A Review of Visual SLAM Based on Unmanned Systems 基于无人系统的视觉SLAM研究进展
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00055
ChengChun Sun, Bo Zhang, Ji-kai Wang, Cheng-Shu Zhang
{"title":"A Review of Visual SLAM Based on Unmanned Systems","authors":"ChengChun Sun, Bo Zhang, Ji-kai Wang, Cheng-Shu Zhang","doi":"10.1109/ICAIE53562.2021.00055","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00055","url":null,"abstract":"Simultaneous Localization and Mapping (SLAM) consists of the immediate construction of the environment and the state estimation of the robot in it, while Visual SLAM (VSLAM) is the use of cameras and other visual sensors for SLAM. VSLAM has become an important part of mobile robots, drones, unmanned vehicles and other unmanned systems in unknown environments to achieve full-scale navigation and environmental perception. First, the principle of architecture, the mathematical models, the current research status and the algorithms of each part have been reviewed. Then, the research hotspots and current facing challenges on VSLAM were summarized from three parts: (i) VSLAM and deep learning; (ii) data processing of multi-sensor; (iii) VSLAM in visual/inertial navigation. Moreover, the research trend of VSLAM were further analyzed, including (i) deep learning and deep estimation, (ii) active and multi-robot VSLAM and (iii) semantic VSLAM. At last, the future development of VSLAM was discussed, which may provide a certain guiding significance for researchers in this area.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"39 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":"122806090","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: 5
Application of Multi-channel Impedance Measurement Device in Teaching of "Signal Analysis and Processing" 多通道阻抗测量装置在《信号分析与处理》教学中的应用
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00136
Jiangtao Sun, Xupeng Lu, Shijie Sun, Rui Wang, Yuedong Xie
{"title":"Application of Multi-channel Impedance Measurement Device in Teaching of \"Signal Analysis and Processing\"","authors":"Jiangtao Sun, Xupeng Lu, Shijie Sun, Rui Wang, Yuedong Xie","doi":"10.1109/ICAIE53562.2021.00136","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00136","url":null,"abstract":"This article develops a low-cost multi-channel impedance measurement device as a teaching tool based on the electrical impedance tomography (EIT) technique. The device is applied for the teaching of \"signal analysis and processing\" related courses in the subject of instrumentation science and technology, which can reconstruct images of conductivity distributions within a domain of interest and recognize a variety of human gestures based on machine learning. This auxiliary teaching tool could help students deepen the understanding of core knowledge in the course, such as analog signal processing by operational amplification, signal sampling and discretization, discrete Fourier transform, and data classification through machine learning. The proposed teaching tool is easy to demonstrate during classes, which can help improve teaching efficiency and enhance students’ interests towards related knowledge.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"5 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":"125363514","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
An Ensemble Approach with Clustering-Based Under-sampling for Imbalanced Classification 基于聚类的欠采样集成方法用于不平衡分类
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00140
Huajuan Ren, Shuaimin Ren, Lin Yan, Ruimin Wang, Jing Jing, Jiaqi Shi
{"title":"An Ensemble Approach with Clustering-Based Under-sampling for Imbalanced Classification","authors":"Huajuan Ren, Shuaimin Ren, Lin Yan, Ruimin Wang, Jing Jing, Jiaqi Shi","doi":"10.1109/ICAIE53562.2021.00140","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00140","url":null,"abstract":"Class imbalance widely occurs in many real-world applications, which affects the recognition of important class to a certain extent. Ensemble methods that combined resampling are effective to alleviate the class imbalance problems. This paper presents a new ensemble approach with clustering-based under-sampling, called CNBoost, for learning from imbalanced data. This algorithm is based on the combination of Centers NN and boosting procedure. Centers NN, as an under-sampling utilizing the nearest neighbors of cluster centers, is used to provide a new training subset in each iteration of boosting, which makes the base learner learn the overall data distribution in each iteration of boosting. We compared the performance of the proposed algorithm with 3 popular ensemble methods. Out of 10 datasets and 3 measurements, CNBoost performs equally well or better than the other 3 methods in 25/30 categories. In addition, we discussed the effect of the base learner used in boosting on the performance of these algorithms. The results show that CNBoost is a promising approach with high classification accuracy and stability for dealing with imbalanced datasets.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"32 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":"127902987","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 Study on Listening Comprehension Anxiety in Chinese Junior Middle School Students Based on the Pearson Correlation Analysis 基于Pearson相关分析的中国初中生听力焦虑研究
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00075
Peiqi Gu
{"title":"A Study on Listening Comprehension Anxiety in Chinese Junior Middle School Students Based on the Pearson Correlation Analysis","authors":"Peiqi Gu","doi":"10.1109/ICAIE53562.2021.00075","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00075","url":null,"abstract":"Listening comprehension is a process that provides important source of input for second language learners. As a psychological factor, anxiety is pervasive in language learning, especially in the process of listening comprehension. This paper aimed to investigate the correlation between listening comprehension anxiety and listening performance of junior middle school students. 123 students were recruited from a middle school in China. The Pearson correlation analysis was conducted and the results indicated that the investigated Chinese junior middle school students did experience a moderate level of listening comprehension anxiety. A principal components analysis was conducted to investigate the sources of students’ listening comprehension anxiety, showing that it was caused by the characteristics of listening materials, the lack of confidence and the tension that students experienced when monitoring and evaluating their listening process.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"23 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":"124694985","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
Comprehensive evaluation algorithm of English online teaching quality based on Artificial Intelligence 基于人工智能的英语在线教学质量综合评价算法
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00053
Yuqing Lei, Xinzhe Zhang
{"title":"Comprehensive evaluation algorithm of English online teaching quality based on Artificial Intelligence","authors":"Yuqing Lei, Xinzhe Zhang","doi":"10.1109/ICAIE53562.2021.00053","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00053","url":null,"abstract":"In view of the complex changing characteristics of English teaching quality, in order to obtain high-precision English teaching quality evaluation results, an English teaching quality evaluation algorithm based on principal component analysis and artificial intelligence is designed. This paper constructs the influence index of English teaching quality, optimizes and selects the evaluation index of English teaching quality by principal component analysis, and obtains the evaluation result of English teaching quality grade by artificial intelligence. The test results of specific application examples show that the proposed evaluation algorithm can accurately evaluate the English teaching quality level, and the evaluation results can provide valuable information for improving the quality of English teachig.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"238 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":"116176752","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
Four Uncertain Sampling Methods are Superior to Random Sampling Method in Classification 四种不确定抽样方法在分类上优于随机抽样方法
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00051
Zhang Guochen
{"title":"Four Uncertain Sampling Methods are Superior to Random Sampling Method in Classification","authors":"Zhang Guochen","doi":"10.1109/ICAIE53562.2021.00051","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00051","url":null,"abstract":"Active learning has been widely used because it can automatically select the unlabeled samples with the largest amount of information for manual labeling. Therefore, it could solve the problem of knowledge bottleneck. Selective sampling belongs to the active learning approach, reducing labeling costs to supplement training data by requiring labels to provide only the most informative, unlabeled examples. This additional information is added to an original, stochastically selected training set in the expectation of improving the performance of generalization of the learning machine[12]. Uncertainty sampling belonging to selective sampling is one of the key techniques of active learning, which uses a classifier to identify the least reliable unlabeled samples[1]. In addition, active learning is a method applied to classifier. In this paper, four methods under uncertainty sampling are used: Least Confidence Sampling, Margin of Confidence Sampling, Ratio of Confidence Sampling, and Entropy-based Sampling. According to the results, the four methods of uncertain sampling have higher accuracy than the random sampling method.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"101 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":"127123150","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
Research on the application of artificial intelligence-based methods in civil engineering monitoring 基于人工智能方法在土木工程监测中的应用研究
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00049
Wenkai Gong, Gebiao Hu, J. Zou, Wenbin Gong, Guilin Huang, Zhihao Zhang
{"title":"Research on the application of artificial intelligence-based methods in civil engineering monitoring","authors":"Wenkai Gong, Gebiao Hu, J. Zou, Wenbin Gong, Guilin Huang, Zhihao Zhang","doi":"10.1109/ICAIE53562.2021.00049","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00049","url":null,"abstract":"In the application of artificial intelligence methods in civil engineering, the main content of the design of equipment, algorithms, etc., through the function algorithm of artificial intelligence and reasonable calculation of data monitoring, so that the monitoring work of the project can be collected on a good basis. The application of artificial intelligence methods mainly involves BP neural network, GA-BP neural network and PSO-BP neural network.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"29 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":"125251688","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 Practice Research of Mixed Teaching in Flipped Classroom in Higher Vocational Colleges under the Background of "Internet +" “互联网+”背景下高职院校翻转课堂混合教学的实践研究
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00091
Qing-zhou Cheng
{"title":"The Practice Research of Mixed Teaching in Flipped Classroom in Higher Vocational Colleges under the Background of \"Internet +\"","authors":"Qing-zhou Cheng","doi":"10.1109/ICAIE53562.2021.00091","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00091","url":null,"abstract":"With the rapid development of information technology, especially the wide application of mobile Internet and intelligent terminals, blended teaching has more methods to choose. Based on super star generic platform construction, online courses for flip classroom learning before class. Teachers carry out mixed teaching such as homework, testing, interaction and question-answering through Super Star Learning Pass. Teaching supervisors and peers use the Flipped Campus APP to conduct after-class teaching evaluation. Practice shows that, Online hybrid teaching to students' learning needs, better guide the student to study conscientiously, give full play to students main body role, and greatly improve the learning efficiency.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","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":"125373936","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
Toward the flipped interactive teaching for "signal analysis and processing" to smarter education integrated with modern information technology 从“信号分析与处理”的翻转互动教学走向与现代信息技术相结合的智慧教育
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00129
Wang， Rui, Zhou Haoyuan, Liang Hui, Qu Xiaolei, S. Jiangtao, Xie Yuedong
{"title":"Toward the flipped interactive teaching for \"signal analysis and processing\" to smarter education integrated with modern information technology","authors":"Wang， Rui, Zhou Haoyuan, Liang Hui, Qu Xiaolei, S. Jiangtao, Xie Yuedong","doi":"10.1109/ICAIE53562.2021.00129","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00129","url":null,"abstract":"The concept and teaching characteristics of smarter education is analyzed in this paper. Taking the flipped interactive teaching in the multimedia classroom after students complete DTFT, DFS, DFT and FFT as an example, this paper introduces how to integrate modern information technology into the teaching of the course \"Signal Analysis and Processing\" in Beihang University. For the purpose of cultivating intelligent talents with innovative ability, this paper expounds in detail the teaching design, environment construction, teaching mode and practice strategy of a 90-minute flexible interactive classroom teaching with the help of modern information technology such as Internet. It is hoped that through the construction of signal processing course oriented to instrument science, students can have a deep understanding of the working mechanism and principle of signal flow in instrument design and control, and provide useful reference for the promotion of smarter education in colleges and universities in the new era of artificial intelligence.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"34 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":"131627490","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 Effective Path of Ideological and Political Mobile Learning System Construction Based on Information Technology 基于信息技术的思想政治移动学习系统建设有效路径研究
2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) Pub Date : 2021-06-01 DOI: 10.1109/ICAIE53562.2021.00123
Yue-liang Zhou, Xinhua Hu
{"title":"Research on Effective Path of Ideological and Political Mobile Learning System Construction Based on Information Technology","authors":"Yue-liang Zhou, Xinhua Hu","doi":"10.1109/ICAIE53562.2021.00123","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00123","url":null,"abstract":"Learning is benefiting from the development of information technology. The ideological and political education in universities plays a key role in the cultivation of what kind of people students are. Mobile learning based on information technology, especially with the help of smart phones, can be an important supplement to the traditional form of Ideological and political education. Starting from the improvement of learning effect, and emphasizing problem-solving as the core concept of mobile learning, this paper puts forward the construction path of ideological and political mobile learning system from four aspects: learning concept, content innovation, interactive mechanism and incentive mechanism.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"28 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":"131629047","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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