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A Study on Multidimensional Medical Data Processing Based on Random Forest 基于随机森林的多维医学数据处理研究
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426193
Lifeng Zhang, H. Cui, R. Welsch
{"title":"A Study on Multidimensional Medical Data Processing Based on Random Forest","authors":"Lifeng Zhang, H. Cui, R. Welsch","doi":"10.1109/UV50937.2020.9426193","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426193","url":null,"abstract":"Medical detection is one of the important methods to prevent, diagnose and treat diseases. Under normal conditions, there are many indicators as the basis for diagnosis in medical detection usually. However, in some situations, many detection indicators, useful or important, account for a small proportion, which causes a certain cost. On the other hand, so many indicators also give inexperienced researchers difficulty in making precise decisions on the diagnosis of disease status based on more important indicators. We propose a method of multidimensional data processing based on random forest in this paper, aiming to reduce the difficulties in medical multidimensional data. We proposed a method based on Random Forest according to impact score, to classify multi-dimensional attributes as strong impact and weak impact for disease. The experimental dataset is diabetic retinopathy from the UIC. In the experiment, we designed a method based on random forest according to impact score, to classify multi-dimensional attributes as strong impact and weak impact for disease. The experimental result shows that the higher-score group has better performance in diagnosing diabetic retinopathy.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"C-22 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114122912","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
Investigation of the COVID-19 Research —A Big Data Approach 新冠肺炎疫情研究调查——大数据方法
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426209
Yong Xu, Guojun Mao, Shan Huang
{"title":"Investigation of the COVID-19 Research —A Big Data Approach","authors":"Yong Xu, Guojun Mao, Shan Huang","doi":"10.1109/UV50937.2020.9426209","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426209","url":null,"abstract":"The outbreak of novel coronavirus disease in 2019 (COVID-19) has drawn researchers’ attention to find the causes and facts of it in hope of preventing its spread and saving patients’ life. However, there are still lack of researches investigating this problem from a big data perspective. This paper tries to tackle this severe threat from a big data perspective to reveal the unknown facts and research trends concealed in the academic publications and to compare our findings with the traditional statistical methods. We downloaded 16, 560 publications from Web of Science and classified the most frequently mentioned keywords in the abstracts into seven different aspects. Then the cluster and strategic diagram methods were used to identify the core and mature research topics and trend. We found that although the vulnerable had been paid appropriate attention by researchers, undeveloped countries had not in this health catastrophe; lung was the most fragile organ to be infected and CT and RT-PCR were the most favorite diagnostic methods; and clinical and modelling methods were the most preferably used by researchers as medical and non-medical research tools etc. Strategic diagram revealed that instead of fever, respiratory distress and pulmonary symptoms/disorders were the most mature diagnosable symptoms. Our findings showed that this simple method proves itself as being applicable in bringing to light some unknown facts hidden behind the haphazard research data and revealing the future research trends.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129918005","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: 2
Attention-based Graph Neural Network Enabled Method to Predict Short-term Metro Passenger Flow 基于注意力的图神经网络短期地铁客流预测方法
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426223
Lin Li, Jun Xu, S. T. Ng, Jiajian Zhang, Shenghua Zhou, Yifan Yang
{"title":"Attention-based Graph Neural Network Enabled Method to Predict Short-term Metro Passenger Flow","authors":"Lin Li, Jun Xu, S. T. Ng, Jiajian Zhang, Shenghua Zhou, Yifan Yang","doi":"10.1109/UV50937.2020.9426223","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426223","url":null,"abstract":"Effective, accurate, and reliable prediction of short-term metro passenger flow is essential to improving the operational efficiency and passenger travel experience of public transport, as well as enhancing the stakeholder emergency response capability against adverse events. Various deep learning models like the long short-term memory (LSTM) models and the graph convolutional network (GCN) have been implemented to predict short-term metro passenger flow, despite the fact that they are either computationally expensive or less accurate. To strike a balance between computational cost efficiency and accuracy concurrently, this study proposes to consider only adjacent stations and apply an attention-based graph neural network (AGNN) approach to short-term metro passenger flow prediction. The proposed method can effectively improve prediction accuracy compared to the LSTM and GCN based models with a less computational cost. Empirical studies are conducted to validate the proposed method.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444820","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: 2
Data-driven Model with Ensemble Learning Predicting Thermal Runaway of Real Working Condition Vehicles 基于集成学习的数据驱动模型预测真实工况车辆热失控
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9507581
David Chang, Weixia Liu, Shujun Cheng, Wenjie Jin, Yuan Li, Chenxi Liu, Xiaonan Li
{"title":"Data-driven Model with Ensemble Learning Predicting Thermal Runaway of Real Working Condition Vehicles","authors":"David Chang, Weixia Liu, Shujun Cheng, Wenjie Jin, Yuan Li, Chenxi Liu, Xiaonan Li","doi":"10.1109/UV50937.2020.9507581","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9507581","url":null,"abstract":"Battery failure is a big obstacle that should be tackled for new energy vehicles, and thermal runaway is one of the principal threats, causing vehicle fire and leading to casualties. So, it is urgent and vital to developing an algorithm that can predict if and when the thermal runaway will happen and then send alerts to passengers. Nevertheless, it is hard to make a precise prediction because the causing factors of thermal runaway are complicated and comprehensive, and it can not only be triggered from inside the power battery but also from the external force. We aim to make more accurate predictions as much as possible; thus, we construct a combined machine learning algorithm that is highly accurate and flexible to predict the probability of lithium battery thermal runaway that happens in real life. By considering voltage and temperature, abnormal current, single battery consistency, and overcharge risk factor separately, we build a stacked model consisting of five sub-models linked with grid-search chosen hyperparameters.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130482436","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
Analysis of Walkability of Historical Blocks of Shanghai Old City Area Based on Spatial Syntax 基于空间句法的上海老城区历史街区可步行性分析
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426195
R. Wang, Wuzhong Zhou
{"title":"Analysis of Walkability of Historical Blocks of Shanghai Old City Area Based on Spatial Syntax","authors":"R. Wang, Wuzhong Zhou","doi":"10.1109/UV50937.2020.9426195","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426195","url":null,"abstract":"The improvement of walking environment quality can effectively alleviate the traffic pressure of the city, which is conducive to the environment construction of the low-carbon city. The measurement of the pedestrian environment is an important premise of urban planning and construction, and an important indicator to measure social ecology and pedestrian safety. From the perspective of spatial syntax, this paper selects four parameter values, namely connection value, global integration degree, local integration degree and comprehensibility degree, to quantitatively analyses the spatial structure and road network characteristics of blocks, and to explore the walkability of blocks from the topological structure itself. The empirical research object is Shanghai Old City area, which is the cradle of Shanghai-style culture and the window to show the historical accumulation and traditional culture of Shanghai to foreign tourists. Through the research and analysis, it provides a theoretical basis for further optimizing the walking experience of historical districts and updating the planning and design of road space.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133726564","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
Preliminary Systematic Modeling and Dynamic Optimization of Power System Stability 电力系统稳定性的初步系统建模与动态优化
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426205
Zhiyuan Yang, Yajun Fang
{"title":"Preliminary Systematic Modeling and Dynamic Optimization of Power System Stability","authors":"Zhiyuan Yang, Yajun Fang","doi":"10.1109/UV50937.2020.9426205","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426205","url":null,"abstract":"Dynamic stability is a primary concern in power systems. Small disturbances without safe control can develop into widespread blackouts. In 2015, 3571 recorded outages in the US affected 13 million people (United States Annual Report 2015). However, today’s regulating and controlling methods mostly aim at local optimization but lack a systematic optimization framework and dynamic interaction analysis, which may not perform well and cannot trace and control cascading events in a real complex system. Machine learning cannot deal with various unanticipated cascading events. In this paper, we integrate all primary operating conditions and regulating methods of power systems in a novel systematic model. Then we innovatively apply state transitions between operating conditions to describe the dynamic complexity of power systems. Our work supports the feasibility of adaptive model-based machine learning and hybrid Human-AI electrical power management system.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122404062","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
Conversation Analysis of Robot-Assisted Recreation for Older Adults with Dementia 老年痴呆患者机器人辅助娱乐的会话分析
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426220
Tomoko Nariai, S. Itai, Hiroaki Kojima
{"title":"Conversation Analysis of Robot-Assisted Recreation for Older Adults with Dementia","authors":"Tomoko Nariai, S. Itai, Hiroaki Kojima","doi":"10.1109/UV50937.2020.9426220","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426220","url":null,"abstract":"Social commitment robots have been used in aged care facilities as a group activity to enhance social wellness in older adults with dementia. This preliminary study examined the effectiveness of a scenario-type Robot-Assisted Recreation (RAR) program by analyzing participants' conversations. The RAR program was designed to provide participants with ongoing enjoyment and to take into account the cognitive conditions with dementia. The effects of activating communication between the participants were tested in field works of four RAR activities. Speech data recorded during recreation and pre-recreation and post-recreation interviews were analyzed for transcriptions, the number of utterances, response speech duration, and fundamental frequency of speech data. Results revealed that participants' QoL improved in terms of their willingness to participate in recreation, their positive feelings about the future, and their interest in interacting with others.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122896116","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
Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video 基于时间序列的监控视频实时异常检测与特征分析
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426191
Ruoyu Xue, Jingyuan Chen, Yajun Fang
{"title":"Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video","authors":"Ruoyu Xue, Jingyuan Chen, Yajun Fang","doi":"10.1109/UV50937.2020.9426191","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426191","url":null,"abstract":"The intelligent surveillance system urgently needs the real-time machine recognition of abnormal events to solve the extremely uneven human supervision resource and digital cameras. Besides, the number of anomaly types that real-time machine monitoring could recognize has not met the need. This paper presents a fast and robust methodology for real-time anomaly detection under different scenarios. We created the Video-Energy-Vector(VEV) to significantly reduce the dimension of feature maps while maintaining the spatial-temporal information. We applied the proposed method on different computer vision features to evaluate the effectiveness of common features to different types of abnormal events based on SVM. Also, we adopted the voting model among different features, which significantly increased the performance. Further More, the small video size to be trained guaranteed the real-time efficiency. The result of the modified UCF-Crime Dataset has proved that our approach has achieved robust results and had the generalization ability on new anomaly types.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123241608","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: 2
Pilot Tests of Automated Bus Aiming for Campus Transportation Service 面向校园交通服务的自动公交中试
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426204
Bo Yang, T. Ando, Kimihiko Nakano
{"title":"Pilot Tests of Automated Bus Aiming for Campus Transportation Service","authors":"Bo Yang, T. Ando, Kimihiko Nakano","doi":"10.1109/UV50937.2020.9426204","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426204","url":null,"abstract":"The aging of population and shortage of drivers have troubled the public transportation in Japan for years. Recently, automated bus has become a promising way to provide future public transport, including the university campus transportation service, with the rapid development of automated driving technologies. On-road pilot tests are considered as an effective way in promoting the deployment of automated buses. In this paper, several on-road pilot tests of automated bus aiming for campus transportation would be introduced, of which the tests conducted in Okinawa were mainly aimed for technical verification, and the tests performed at Kashiwa campus, the University of Tokyo, were mainly focused on the operation and maintenance issues. It is expected that the tests can provide an evidence for the possibility of applying automated bus in public transportation.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"39 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128161917","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 Intelligent Wearable Temperature Monitoring System for Epidemic Surveillance 一种用于流行病监测的智能穿戴式温度监测系统
2020 5th International Conference on Universal Village (UV) Pub Date : 2020-10-24 DOI: 10.1109/UV50937.2020.9426221
Ming Chen, Lan Chen, Yali Wang
{"title":"An Intelligent Wearable Temperature Monitoring System for Epidemic Surveillance","authors":"Ming Chen, Lan Chen, Yali Wang","doi":"10.1109/UV50937.2020.9426221","DOIUrl":"https://doi.org/10.1109/UV50937.2020.9426221","url":null,"abstract":"Wearable electronics devices become more popular used for human being's physiological parameter monitor. Continuous body temperature monitor will be wide used in families and hospitals, great significance for human health state monitoring especially for body temperature sensing diseases such as corona-virus epidemic currently. In this paper, we introduce a continuous temperature monitoring system with high precision, continuous and long-time measurement, remote temperature collection, and low power consumption, which can monitor and warn the population with abnormal temperature in the epidemic in time. The high precision of the thermometer is up to 0.01 degrees Celsius, and IP multiplexing in Wi-Fi is adopted for transmission to increase the network capacity, and a high efficient working-sleeping mode achieves the low power consumption to satisfy 14 days of epidemic sensitive period. It can not only monitor the suspicious population effectively, but also reduce the workload and infection risk of the epidemic monitoring greatly. The system is easy to be integrated with the existing hospital information system, the proposed solutions can be applied to the monitoring and early warning of epidemic surveillances with abnormal temperature.","PeriodicalId":279871,"journal":{"name":"2020 5th International Conference on Universal Village (UV)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124428761","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
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