2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)最新文献_第3页

Identification method of residents' medical travel behavior characteristics driven by mobile signaling data: A Case Study of Kunshan 基于移动信令数据驱动的居民医疗出行行为特征识别方法——以昆山市为例

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00042

Liu Huan, Lu Zhenbo

{"title":"Identification method of residents' medical travel behavior characteristics driven by mobile signaling data: A Case Study of Kunshan","authors":"Liu Huan, Lu Zhenbo","doi":"10.1109/ISCTT51595.2020.00042","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00042","url":null,"abstract":"With quick development of big data technology, how to analyze the characteristics of residents' medical travel behavior comprehensively and accurately provides basic data support for the supply and demand evaluation of urban public medical service facilities and the layout optimization decision-making. Aiming at the limitations of traditional traffic data sources, a method for identifying urban residents' medical travel behavior characteristics using mobile phone signaling data under the LTE network as the core data source was constructed. Taking Kunshan City as an example, this method identifies the characteristics of users' stay behavior, workplace and residence, and travel OD information based mobile signaling data. Then this method combines the POI data of medical public service facilities, and obtains the corresponding relationship table between hospital and mobile base station through the association matching between mobile base station and grade hospital. Finally, the method identifies the OD of medical travel behavior based on the information, which include travel OD and characteristics of residents' workplace and residence and stay behavior obtained from signaling data, and the corresponding relationship between hospital and mobile base station, and comprehensively analyzes the individual attribute characteristics and travel characteristics of urban residents who have had medical travel behavior.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"63 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":"116743348","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

Data Augmentation and Deep Learning Modeling Methods on Edge-Device-Based Sign Language Recognition 基于边缘设备的手语识别的数据增强和深度学习建模方法

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00093

Yuzhe Ding, Shaofei Huang, Roubo Peng

{"title":"Data Augmentation and Deep Learning Modeling Methods on Edge-Device-Based Sign Language Recognition","authors":"Yuzhe Ding, Shaofei Huang, Roubo Peng","doi":"10.1109/ISCTT51595.2020.00093","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00093","url":null,"abstract":"In this paper, methods of realizing sign language recognition (SLR) on mobile edge devices - AutoML and Transfer Learning - are recommended and compared. Their performance in SLR is compared in this article in terms of model size, speed, and accuracy. To perform a more reliable comparative analysis, we first built and applied data augmentation to obtain a benchmark dataset based on Chinese Sign Language (CSL). With this dataset, models were then trained and deployed to mobile edge devices for real-time testing. It is found that data augmentation can effectively improve the diversity of datasets and improve the robustness of the trained model. The results of the model comparison show that AutoML is more dominant in accuracy, and Transfer Learning is more suitable for low-latency applications. In addition, AutoML excels at classifying macroscopically homogeneous images, such as gestures, despite its low training speed. On the other hand, the training process of Transfer Learning is speedy, but low accuracy remains to be its problem. These conclusions are of guiding significance to the lightweight mobile application implementation of SLR.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"43 6 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":"123783646","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

Impact of Visibility Classification Schemes on Traffic Efficiency in Intelligent Freeway Management Systems A Mechanism for all-Weather Transportation Services with Vehicle-Road Coordination Technology 基于车路协调技术的全天候交通服务机制研究

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00124

Ken Chen, Meng Zhang, Yong Tang, Jianxing Li, Yong Liu, Jun He

{"title":"Impact of Visibility Classification Schemes on Traffic Efficiency in Intelligent Freeway Management Systems A Mechanism for all-Weather Transportation Services with Vehicle-Road Coordination Technology","authors":"Ken Chen, Meng Zhang, Yong Tang, Jianxing Li, Yong Liu, Jun He","doi":"10.1109/ISCTT51595.2020.00124","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00124","url":null,"abstract":"Visibility often has large impact on driving safety and speed, thus is an important factor to be considered in freeway management. In this article, we propose a methodology to evaluate the visibility and its impact on freeway transportation. We carefully examined the concept of visibility, and propose classification schemes and controlling mechanisms designed accordingly. Furthermore, we evaluate traffic efficiency as outcome of the schemes and likelihood of congestion by defining a Delay Index, modelling and simulating a few scenarios and benchmarking to big data statistics from China major cities. Results from our study show that with proper designed mechanisms, the overall efficiency and safety of the freeway transportation will be improved. Once applied to commercial systems and become fully operative in Vehicle-Road Coordination systems, transportation in all-weather conditions can be gradually achieved and will bring significant social and economic benefits.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"469 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":"123879348","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

Reinforcement Design Calculation Analysis of the CFST Arch Bridge CFST拱桥配筋设计计算分析

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00052

C. Lijun, H. Ning, Zhang Maohui, Sun Fuwei

引用次数: 0

Analysis and Prediction of COVID-19 in Xinjiang Based on Machine Learning 基于机器学习的新疆新冠肺炎疫情分析与预测

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00072

Y. Liu, Yan Xiao

引用次数: 5

Research and Implementation of Non-uniform Distribution Random Beamforming Algorithm 非均匀分布随机波束形成算法的研究与实现

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00080

Yujuan Qin

引用次数: 0

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00065

Fei Qiang, He Tao, Zhang Rui

{"title":"ATO Recommended Speed Curve Optimization based on Artificial Bee Colony Algorithm","authors":"Fei Qiang, He Tao, Zhang Rui","doi":"10.1109/ISCTT51595.2020.00065","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00065","url":null,"abstract":"Aiming at the problem of high train traction energy consumption in urban rail transit, this paper combined the optimization of train recommended speed curve and ATO driving strategy, and proposed an optimization algorithm of train energy-saving driving strategy based on artificial bee swarm algorithm. Firstly, an optimization model of train recommended speed curve was established. Secondly, an optimization calculation method of train recommended speed curve based on artificial bee swarm algorithm was proposed based on driver's driving experience. Then, an energy-saving cruising driving strategy was designed to improve ATO's original driving strategy. Finally, the algorithm was verified by simulation with actual data. The simulation results show that when the algorithm is used to control the driving, the energy consumption can be reduced by 6.9% and the calculation time is 18.25s under the condition of meeting the constraints of interval running time. The algorithm has fast convergence speed, small calculation time and obvious energy-saving effect, which has certain practical significance for reducing the train traction energy consumption.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"25 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":"125216458","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

A Review on Generative Adversarial Networks 生成对抗网络研究进展

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00074

Yiqin Yuan, Yuhao Guo

引用次数: 0

Design and implementation of VDES Link Layer protocol applied to intelligent vessels 应用于智能船舶的VDES链路层协议的设计与实现

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00079

Liang Ma, Xin Sun, Jie Wen

引用次数: 1

Design and analysis of a new RFID Security Protocol for Internet of things 一种新的物联网RFID安全协议的设计与分析

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00010

Zixuan Liu, Jie Yu

引用次数: 0