2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)最新文献_第6页

Learning path recommendation based on Transformer reordering 基于Transformer重新排序的学习路径推荐

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00025

Y. Liu, Yuanyuan Zhang, Guoqing Zhang

{"title":"Learning path recommendation based on Transformer reordering","authors":"Y. Liu, Yuanyuan Zhang, Guoqing Zhang","doi":"10.1109/ISCTT51595.2020.00025","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00025","url":null,"abstract":"In order to solve the problem that course learning resources cannot be accurately recommended, this paper proposes learning path recommendation based on transformer reordering. This study constructs the map of knowledge points in the curriculum in advance. When the learners request to learn new knowledge points, the DINA cognitive model is used to analyze the test results, and the blind area knowledge points are obtained and the map of blind area knowledge points is constructed. Then, RankNet algorithm based on neural network is used to realize the first sorting of knowledge points in blind area, and then the personalized characteristics of learners are introduced into transformer algorithm to reorder. Finally, the recommender sequence is combined with the map of knowledge points in the blind area, and the recommended sequence is generated by topological sorting method. In this study, knowledge model and transformer algorithm are used to make up for the deficiency of Curriculum Resource Recommendation problem in previous studies. Taking high school chemistry knowledge points recommendation as an example, the experimental results show that the satisfaction of this method reaches 82%. This recommendation method promotes the research process of personalized learning resources to a certain extent.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121339377","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 Influence of Text Representation of Vertigo Interrogation Texts on Classification Results 眩晕审问文本文本表示对分类结果的影响研究

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00061

Yingjian Yang, Shulei Zhang, Yingwei Guo, Qiang Li, Jiaqi Guo, Xiuli Zhang, Liang Lei, Yang Liu, Wei Li, Yan Kang

{"title":"Research on Influence of Text Representation of Vertigo Interrogation Texts on Classification Results","authors":"Yingjian Yang, Shulei Zhang, Yingwei Guo, Qiang Li, Jiaqi Guo, Xiuli Zhang, Liang Lei, Yang Liu, Wei Li, Yan Kang","doi":"10.1109/ISCTT51595.2020.00061","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00061","url":null,"abstract":"To understand the influence of the text representation of vertigo interrogation texts on classification results, our paper proposes a fusion strategy of text representation combination and constructs a new stacking model fusion. Vertigo interrogation texts of the four typical vertigo diseases are used to make classification under the different text representation. Results show that the classification effect of proposed stacking model fusion with proposed text representation combinations is superior to that of the gradient boosting decision tree, support vector machine, and naïve Bayes with the simple text representation. Results also show that the proposed text representation combination of word2vec, GloVe and one-hot is the best overall classification effect among other text representation combinations based on our proposed stacking model fusion. Therefore, we conclude that the proposed fusion strategy of text representation combination and stacking model fusion can improve the classification effect of text representation of vertigo interrogation texts.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114948702","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 Novel Auxiliary Noise Power Scheduling Strategy in Active Noise Control 主动噪声控制中一种新的辅助噪声功率调度策略

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/isctt51595.2020.00119

Zhengqiang Luo, Yinsheng Li, Wei Zheng

引用次数: 0

Text Infilling Method based on Key Semantic Information Selection Mechanism 基于关键语义信息选择机制的文本填充方法

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00045

Shuting Zheng, Wenjing Tian, Xiaodong Cai

{"title":"Text Infilling Method based on Key Semantic Information Selection Mechanism","authors":"Shuting Zheng, Wenjing Tian, Xiaodong Cai","doi":"10.1109/ISCTT51595.2020.00045","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00045","url":null,"abstract":"Aiming at the problem that the lack of key semantic information in text infilling leads to weak semantic coherence of the filled text, this paper designs a text infilling method based on a Bi-directional long-short term memory network with a key semantic information selection mechanism. First, this paper uses the Bi-directionallong-short term memory network to capture the characteristics of potential long-distance dependencies and obtain context hiding features; then, we design an information selection mechanism to obtain context-critical semantic features by calculating the semantic distribution weight of words in the text; and finally, through the multi-head attention mechanism the key information of the local context and the global semantic information will be captured to fill the missing parts one by one, thereby improving the logic of the semantics and making the generated text more coherent. The experimental results show that testing on the Yelp dataset, Grimm dataset and Chinese poetry dataset, the value of the semantic fluency evaluation index perplexity has all decreased, indicating that the method proposed in this paper significantly improves the semantic coherence of the text, which significantly outperform the state-of-the-art text infilling model.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133193782","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

Ultra-Massive multiple input multiple output technology in 6G 6G超大规模多输入多输出技术

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/isctt51595.2020.00018

Guangbin Xu, Xiaofeng Xu, W. Yang, Bo Xu

引用次数: 1

Software Design and Implementation of Training Simulator for Operation and Maintenance of an Electrical Control System 电气控制系统运维训练模拟器的软件设计与实现

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00071

Jian Qin, Xuedong Xue, Xude Cheng, Jing Zhang, Wei Liu

{"title":"Software Design and Implementation of Training Simulator for Operation and Maintenance of an Electrical Control System","authors":"Jian Qin, Xuedong Xue, Xude Cheng, Jing Zhang, Wei Liu","doi":"10.1109/ISCTT51595.2020.00071","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00071","url":null,"abstract":"The electrical control system of a certain equipment mainly completes the operation process control of the whole vehicle. It adopts a closed-loop interlocking control method. Its signals are cross-transmitted and the conversion nodes are complicated. In addition, the equipment is often in a field condition with turbulent transportation and the working environment is harsh, which causes a great loss of equipment and greatly affects the quality of teaching and training. In order to effectively solve this problem, this article develops an operation and maintenance training simulator for an electrical control system, using a combination of software and hardware, using industrial personal computer as a platform, using computer technology, automatic testing technology, microelectronics technology, and bus technology, Multimedia technology, computer software development technology, etc., to achieve simulation training for the electrical control system of a certain type of equipment. The operation training part of the system is designed according to the actual operation interface, and the equipment action process and results are demonstrated through the computer monitor (or projector) in the form of animation or equipment demonstration video. The hardware circuit part of the system mainly provides the actual working environment for the tested equipment, applies various excitation signals to the tested equipment, collects its response signals to judge its performance, and provides corresponding results according to the operation process. The system software mainly realizes the operation program control, animation demonstration and data saving functions of the simulated trainer. This article mainly introduces the software design and realization method of the system.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131987851","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

Railway Adaptive Dispatching Decision Method Based on Double DQN 基于双DQN的铁路自适应调度决策方法

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00134

Liang Hou, Dailin Huang, Jie Cao, Jialin Ma

引用次数: 0

The Topological Properties of COVID-19 Global Activity Time Series Forecasting COVID-19全球活动时间序列预测的拓扑特性

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00047

Changchang Hu

{"title":"The Topological Properties of COVID-19 Global Activity Time Series Forecasting","authors":"Changchang Hu","doi":"10.1109/ISCTT51595.2020.00047","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00047","url":null,"abstract":"Topological data analysis (TDA) is a combination of statistical, computational and topological methods that would allow one to find shape-like structures in data. The mathematical concepts of time series and topological data analysis are seldomly used in conjunction. The goal of this paper is to introduce readers to the combination of time series forecasting with topological data analysis as a technique to solve real world problems. The COVID-19 pandemic is a relevant topic that is known worldwide and will be the test subject used in this experiment. A time series forecast was produced to determine future trends of Coronavirus cases in the top 10 most affected countries. This forecast can inform health officials and improve regulations for the future in an effort to circumvent the effects of COVID-19. Performing topological data analysis on this forecast generated the unique topological structure of the time series dataset. This paper concluded that a majority of the screened countries will continue to see a rise in deaths for the next 6 months. Additionally, the topological structure derived from the forecast model consisted of a loop and immeasurable points. By writing this paper, the author encourages others to find innovative solutions to modern problems using this combination of mathematics.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133221300","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 New Blockchain-based Electronic Medical Record Transferring System with Data Privacy 基于区块链的新型数据隐私电子病历传输系统

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00032

Jian Li

{"title":"A New Blockchain-based Electronic Medical Record Transferring System with Data Privacy","authors":"Jian Li","doi":"10.1109/ISCTT51595.2020.00032","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00032","url":null,"abstract":"From the current national-level medical diagnosis and treatment perspective, the paper-version prescription is still the only slip issued by the doctor to allow for the patient to take the prescribed medicine from the pharmacy store or clinic. However, the paper prescription is not easy to store and its confidentiality is low, if it is lost, it will cause unnecessary trouble to the patient. Therefore, the use of digital prescriptions has been considered for future electronic medical record reform. The challenges of digital prescriptions are also upfront, for instance, it contains a large amount of patient's medical record information and private information, how to effectively maintain the level of security while the premise of privacy has caused a series of hot issues, which become a major concerns of people who promote the use of digital prescriptions. In recent years, blockchain has been widely regarded as a promising online business data and transaction security technology. Due to its decentralization, security and credibility, collective maintenance, and non-tampering, it is widely used in data storage and sharing. This paper proposes a blockchain-based medical prescription system. At the same time, in order to effectively protect the privacy of patients, during this period we adapted the k-anonymity algorithm and incorporated a differential privacy protection mechanism to enhance its secured performance.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116535859","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: 3

An Automatic System for Essay Questions Scoring based on LSTM and Word Embedding 基于LSTM和词嵌入的作文自动评分系统

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00068

Huang Chimingyang

引用次数: 4