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

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Image Matching Algorithm based on ORB and K-Means Clustering 基于ORB和K-Means聚类的图像匹配算法
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00088
Liye Zhang, Fudong Cai, Jinjun Wang, Changfeng Lv, Wei Liu, Guoxin Guo, Huanyun Liu, Yi-xin Xing
{"title":"Image Matching Algorithm based on ORB and K-Means Clustering","authors":"Liye Zhang, Fudong Cai, Jinjun Wang, Changfeng Lv, Wei Liu, Guoxin Guo, Huanyun Liu, Yi-xin Xing","doi":"10.1109/ISCTT51595.2020.00088","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00088","url":null,"abstract":"With the rapid development of science and technology, image processing technology plays an important role in the field of computer vision. In order to improve the matching speed and real-time requirements, this paper proposes an image matching algorithm based on ORB and K-means clustering, which can effectively improve the accuracy of image feature point location and the accuracy and efficiency of image feature matching, and reduce the time consumption. The algorithm uses sub-pixel interpolation to optimize the traditional ORB algorithm, which improves the accuracy and characteristics of clustering calculation.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"88 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":"115395400","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: 4
A use Cases Analysis Method for the Evaluation of the Adaptability to Future Sustainable Transportation of IEC Standard System 用例分析方法评价IEC标准体系对未来可持续交通的适应性
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00130
Xuling Li, Baiqiang Shen, Wei Xiao, Lei Wang, Lili Li, Xinmei Yuan, Feng Ni
{"title":"A use Cases Analysis Method for the Evaluation of the Adaptability to Future Sustainable Transportation of IEC Standard System","authors":"Xuling Li, Baiqiang Shen, Wei Xiao, Lei Wang, Lili Li, Xinmei Yuan, Feng Ni","doi":"10.1109/ISCTT51595.2020.00130","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00130","url":null,"abstract":"With the rapid penetration of electrification, communication, and computer technologies into the transportation sector, conventional transportation system is undergoing important revolution, and the corresponding standard system is also facing huge challenges. In this paper, a method to evaluate the adaptability of current IEC standards facing the future sustainable transportation is proposed. Use cases related to future sustainable transportation were collected first, then all the collected use cases are evaluated and ranked. Important use cases are analyzed and recommendations to the current standardization system can be obtained. Two important use cases: coordinated charging and battery-powered tram are given as examples to show the results of the proposed method.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"119 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":"116169711","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 Train Tracking Interval of Urban Rail Transit under Communication Delay 通信延迟下城市轨道交通列车跟踪间隔研究
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00128
Chengjie Jian, Li Qiang, Zhang Rui
{"title":"Research on Train Tracking Interval of Urban Rail Transit under Communication Delay","authors":"Chengjie Jian, Li Qiang, Zhang Rui","doi":"10.1109/ISCTT51595.2020.00128","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00128","url":null,"abstract":"The tracking interval between the two workshops is the main factor that affects the line passing capacity. This article focuses on the communication delay problem in the train-to-ground communication of the CBTC system used in rail transit, and obtains the constraint relationship between the communication delay and the train speed, and combines it with moving block Based on the characteristics of the tracking interval, a model of the wireless communication delay following the train tracking interval is established, and the influence of the wireless communication delay on the train tracking interval is simulated and analyzed. The relationship between the tracking interval and speed of the following vehicles with different delays is obtained.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"336 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":"122538753","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 main circuit design and closed-loop control simulation of power supply 电源主电路设计及闭环控制仿真
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00036
Lu Wei, Pan Shenmin, Huang Yiyun, Feng Hulin
{"title":"The main circuit design and closed-loop control simulation of power supply","authors":"Lu Wei, Pan Shenmin, Huang Yiyun, Feng Hulin","doi":"10.1109/ISCTT51595.2020.00036","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00036","url":null,"abstract":"To solve the problem that the DC output voltage of a single PSM power module is not adjustable, a method of connecting a DC-DC power supply in series with the PSM power module is proposed to make the DC voltage on the output side continuously adjustable. The output voltage is continuously adjustable within 750-800V, the output current and the voltage ripple rate are respectively 80A, 1.5%. In order to make the system work stably, this paper designs a closed-loop feedback control system. Finally, a simulation model was built with simulink, the output voltage was regulated within 750-800V, and the ripple rate was 1.25%, which verified the correctness of the main circuit design.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"37 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":"124948682","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
Ship Trajectory Prediction Based on Attention in Bidirectional Recurrent Neural Networks 基于注意力的双向递归神经网络船舶轨迹预测
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00100
Chao Wang, Yuhui Fu
{"title":"Ship Trajectory Prediction Based on Attention in Bidirectional Recurrent Neural Networks","authors":"Chao Wang, Yuhui Fu","doi":"10.1109/ISCTT51595.2020.00100","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00100","url":null,"abstract":"Using AIS data to further improve the accuracy of ship trajectory prediction, a model based on Attention in Bidirectional Long Short- Term Memory Recurrent Neural Networks (BLSTM) is proposed. The model learns from AIS data in a certain area over a while. Final model performance comparing the learning results of the four Recurrent Neural Network models on the same data set, let them make track predictions on the same AIS data, and proved that the model has higher prediction accuracy. The prediction results can provide a reference for ship traffic organization and management in the detection of abnormal ship behavior, early warning of ship collision or grounding, etc.","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":"125036971","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: 7
Research on Tracking Interval Time of High Speed EMU Based on Tracking Arrival Model 基于跟踪到达模型的高速动车组跟踪间隔时间研究
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00116
Zhang Hong rui, Kuang Wen zhen, Wei Liu
{"title":"Research on Tracking Interval Time of High Speed EMU Based on Tracking Arrival Model","authors":"Zhang Hong rui, Kuang Wen zhen, Wei Liu","doi":"10.1109/ISCTT51595.2020.00116","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00116","url":null,"abstract":"This paper makes a detailed analysis of the picking up operation process for the high-speed EMU, a tracking arrival model for the EMU is established, the arrival interval time Tarrive calculation formula of station is revised, the tracking arrival process of multiple EMU is simulated by using the MATLAB software, and the impact of it on the picking up efficiency is explored by changing the section tracking interval time Ttrack. Combined with the ATP curve design algorithm and the EMU braking distance calculation theory, the calculation method of the braking distance under ATP curve monitoring is studied. The Ttrack and Tarrive of the CRH2 and CRH3 type EMU under the different line conditions are checked and calculated respectively, the key factors affecting the tracking interval time are analyzed according to the results, and the reasonable suggestions are put forward on how to compress the tracking interval time of high-speed railway and improve the operation efficiency of line.","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":"126753162","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
Automatic Detection of Malicious URLs using Fine-Tuned Classification Model 基于微调分类模型的恶意url自动检测
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00060
Chiyu Ding
{"title":"Automatic Detection of Malicious URLs using Fine-Tuned Classification Model","authors":"Chiyu Ding","doi":"10.1109/ISCTT51595.2020.00060","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00060","url":null,"abstract":"URLs are frequently used to surf the Internet in modern society. Especially after the outbreak of the COVID-19, quarantine makes needs for the Internet and usages of URLs reach an unprecedented level. Unfortunately, not every URL is believable, because some of them can attack your computer, steal your personal information, and even spread computer virus like Trojan. This project designs machine learning algorithms to detect malicious URLs efficiently and protect Internet users from malicious URLs. In this project, the goal is to get a fine-tuned machine learning model, I will first introduce the dataset of URLs which is crucial to train the model. Then I will show the procedure and some findings of my data exploration. After that, I will present the methods including the algorithms and some improvements I make to optimize my model. Finally, I will show the results and the conclusion. To make my models better, I not only apply hyperparameter tuning, but also data resampling and cross validation to the model. The procedure is repeated several times to ensure the stability. In order to evaluate the performance of my models accurately, I adopt multiple methods. After improving the algorithms, by using the F1 score to evaluate performance, the result boosts significantly from original 0.14 to around 0.90. With the ultimate well-trained model, we can predict the safety of all the URLs on the Internet accurately, which can secure our personal information and data.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"21 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":"130498364","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 an Active Wireless Local Area Network Access Management Model 一种有源无线局域网接入管理模型的研究
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00037
Tianshi Liu, Dong Shi, Guang Yang
{"title":"Research on an Active Wireless Local Area Network Access Management Model","authors":"Tianshi Liu, Dong Shi, Guang Yang","doi":"10.1109/ISCTT51595.2020.00037","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00037","url":null,"abstract":"When the number of users of a wireless access point exceeds the limit that its own hardware can carry, it will cause new users to be unable to access, and even lead to the collapse of the entire wireless network. In response to this problem, this paper designs an active wireless network access management model. The model manages the clients in the wireless local area network through the Radius protocol, so as to realize the batch access to a large number of users. After the client completes the data transmission, the wireless access point actively disconnects its connection to release channel resources, and thereby effectively improving the carrying capacity of the wireless network. The test results show that this model can significantly reduce the load of wireless access points, and enable wireless access points with weaker performance to support the data transmission needs of a large number of users.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"27 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":"130985144","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
Application Of Kalman Filter Algorithm In Track Prediction 卡尔曼滤波算法在航迹预测中的应用
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00058
Zhang Xianwei, Shang Junqian, Zhang Qian
{"title":"Application Of Kalman Filter Algorithm In Track Prediction","authors":"Zhang Xianwei, Shang Junqian, Zhang Qian","doi":"10.1109/ISCTT51595.2020.00058","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00058","url":null,"abstract":"In the course of flight, trajectory prediction is to use a series of measured data such as course Angle, speed and flight altitude to predict the next moment or the next stage of the aircraft state, and output the specific trajectory. This paper analyzes the research status of the existing algorithms, aiming at the problems of high time complexity and large computational load of some prediction algorithms, the kalman filter algorithm is mainly introduced, which has the characteristics of linear optimal filtering, and has a good implementation effect when applied to specific engineering problems.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"197 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":"132123602","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 Driving Behavior Scoring Model based on OBD Terminal Data Analysis 基于OBD终端数据分析的驾驶行为评分模型构建
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00012
Tianshi Liu, Guang Yang, Dong Shi
{"title":"Construction of Driving Behavior Scoring Model based on OBD Terminal Data Analysis","authors":"Tianshi Liu, Guang Yang, Dong Shi","doi":"10.1109/ISCTT51595.2020.00012","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00012","url":null,"abstract":"In order to accurately identify abnormal driving behaviors, this paper proposes different abnormal driving behavior recognition algorithms. The algorithm obtains driver's driving data through the OBD terminal, combines the x-axis and y-axis acceleration changes and behavior duration of the vehicle's three-axis acceleration sensor to identify abnormal driving behaviors, establishes a hierarchical driving behavior indicator system and judgment matrix. On this basis, a driving behavior scoring model is established. The model combines the driving data of the driver, takes the proportion of abnormal driving behavior as the evaluation index, and uses the entropy weight method and the analytic hierarchy process to obtain the index weight. The test results of an example show that the model can analyze and evaluate the driving behavior of the driver well, and give a score of driver's behavior, to encourage the driver to develop good driving habits and effectively prevent the occurrence of traffic accidents.","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":"130791037","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
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