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2019 20th IEEE International Conference on Mobile Data Management (MDM)最新文献

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A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid 基于车对网的电动汽车充电调度系统
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00-36
Nicklas K. Breum, M. Joergensen, C. A. Knudsen, L. B. Kristensen, B. Yang
{"title":"A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid","authors":"Nicklas K. Breum, M. Joergensen, C. A. Knudsen, L. B. Kristensen, B. Yang","doi":"10.1109/MDM.2019.00-36","DOIUrl":"https://doi.org/10.1109/MDM.2019.00-36","url":null,"abstract":"With the rise of sustainable energy sources, such as wind power, the energy production, and thus the energy price, fluctuates. Meanwhile, we are witnessing an increasing amount of electric vehicles, which soon will represent a substantial fraction of the electricity demand. Under this setting, the so-called vehicle-to-grid technology, which enables electric vehicles to sell electricity back to the power grid, appears to be an effective mean to reduce the charging costs for electric vehicles. We demonstrate a system that makes optimal scheduling for electric vehicle fleet owners using vehicle-to-grid. The principle of the scheduling is to charge electric vehicles when electricity is cheap and sell electricity back to the power grid when it is expensive, while making sure that the electric vehicles are sufficiently charged when they need to be used, e.g., 8 am in the morning. The system is integrated as part of aSTEP, a spatio-temporal data analytics platform developed at Aalborg University. In collaboration with a transportation-as-a-service company in Denmark, the system is tested through a use case that involves an electric vehicle fleet.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233144","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: 6
Meta Path-Based Information Entropy for Modeling Social Influence in Heterogeneous Information Networks 异构信息网络中基于元路径的信息熵社会影响建模
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00119
Yudi Yang, Lihua Zhou, Zhao Jin, Jinhua Yang
{"title":"Meta Path-Based Information Entropy for Modeling Social Influence in Heterogeneous Information Networks","authors":"Yudi Yang, Lihua Zhou, Zhao Jin, Jinhua Yang","doi":"10.1109/MDM.2019.00119","DOIUrl":"https://doi.org/10.1109/MDM.2019.00119","url":null,"abstract":"Influence is a complex and subtle force that changes the behavior of involved users. Measuring influence can benefit to identify the influential users, and also benefit to provide important insights into the design of social platforms and applications. However, most existing work on social influence analysis has focused on homogeneous information networks. Few studies systematically investigate how to mine the strength of influence between nodes in heterogeneous information networks. In this paper, we present a meta path-based information entropy for modeling social influence in heterogeneous information networks (MPIE). Through setting meta paths, MPIE not only flexibly integrates heterogeneous information, but also obtains potential link information to measure the influence of nodes. Experiments on real data sets demonstrate the effectiveness of our proposed method.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"479 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027768","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
Traffic Congestion Prediction by Spatiotemporal Propagation Patterns 基于时空传播模式的交通拥堵预测
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00-45
Xiaolei Di, Yu Xiao, Chao Zhu, Yang Deng, Qinpei Zhao, Weixiong Rao
{"title":"Traffic Congestion Prediction by Spatiotemporal Propagation Patterns","authors":"Xiaolei Di, Yu Xiao, Chao Zhu, Yang Deng, Qinpei Zhao, Weixiong Rao","doi":"10.1109/MDM.2019.00-45","DOIUrl":"https://doi.org/10.1109/MDM.2019.00-45","url":null,"abstract":"Accurate prediction of traffic congestion at the granularity of road segment is important for planning travel routes and optimizing traffic control in urban areas. Previous works often calculated only the average congestion levels of a large region covering many road segments and did not take into account spatial correlation between road segments, resulting in inaccurate and coarse-grained prediction. To overcome these issues, we propose in this paper CPM-ConvLSTM, a spatiotemporal model for short-term prediction of congestion level in each road segment. Our model is built on a spatial matrix which incorporates both the congestion propagation pattern and the spatial correlation between road segments. The preliminary experiments on the traffic data set collected from Helsinki, Finland prove that CPM-ConvLSTM greatly outperforms 6 counterparts in terms of prediction accuracy.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125619407","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: 35
Message from the PhD Forum Chairs 博士论坛主席寄语
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/mdm.2019.00-93
S. Chellappan
{"title":"Message from the PhD Forum Chairs","authors":"S. Chellappan","doi":"10.1109/mdm.2019.00-93","DOIUrl":"https://doi.org/10.1109/mdm.2019.00-93","url":null,"abstract":"Welcome to the PhD forum organized in conjunction with the 11th International Conference on Mobile Data Management (MDM 2010). This is the second time that a separate platform devoted to enabling senior graduate students and recent graduates to showcase their research has been organized at MDM. This year we had 14 submissions from eight universities spread across five countries. Of these, 13 high quality submissions were selected for the final program after careful review by the technical program committee. The authors will be given the opportunity to present their contributions as a poster. As an added incentive, a number of best poster awards will be given to the most innovative idea and the most interesting work presented at the Ph.D. Forum. We look forward to seeing you in Kansas City to enjoy the MDM conference. We are confident that you will find both the conference and the PhD forum inspiring and interesting, and the conference location attractive and memorable. Cory Beard and Sriram Chellappan MDM 2010 PhD Forum Chairs","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129409578","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
Safe Driving at Traffic Lights: An Image Recognition Based Approach 交通信号灯安全驾驶:一种基于图像识别的方法
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00-67
Cuizhu Bao, Chen Chen, H. Kui, Xiaoyang Wang
{"title":"Safe Driving at Traffic Lights: An Image Recognition Based Approach","authors":"Cuizhu Bao, Chen Chen, H. Kui, Xiaoyang Wang","doi":"10.1109/MDM.2019.00-67","DOIUrl":"https://doi.org/10.1109/MDM.2019.00-67","url":null,"abstract":"With the increasing number of vehicles, the number of traffic accidents also increases, especially at traffic lights. To enhance the driving safety at traffic lights, in this paper, we propose an intelligent safe driving assistant to provide drivers with driving advice based on traffic light phases, which information has been neglected by existing research. The driving assistant consists of an image recognition system with a single on-board camera, which can ameliorate the difficulties of observing traffic light phases. The recognition system obtains traffic light countdown information using a Convolutional Neural Network, and estimates the countdown time using the results of traffic light information. In addition, we develop a model to calculate the distance between the traffic light and vehicle by using the information of camera and traffic light. Based on the traffic light phase and the distance obtained, the driving assistant can provide a velocity control strategy to improve driver's safety. Finally, extensive experiments are conducted to verify the effectiveness of proposed methods.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037483","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: 8
Message from the Program Co-Chairs 项目联合主席致辞
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/CLUSTER.2003.10007
S. Cheung, Y. Tsung
{"title":"Message from the Program Co-Chairs","authors":"S. Cheung, Y. Tsung","doi":"10.1109/CLUSTER.2003.10007","DOIUrl":"https://doi.org/10.1109/CLUSTER.2003.10007","url":null,"abstract":"A PSEC’97/ICSC’97 Is DESIGNED TO PROVIDE A forum for software practitioners and researchers to present their results and exchange ideas and experience. The program for APSEC’97/ICSC’97 is expected to be a truly exciting software engineering conference. It consists of three keynote addresses, 3 panel sessions, 4 tutorials, a poster session and 51 technical presentation. The program committee received 107 paper submissions: 12 from Australia, 38 from Europe and North America, and 57 from Asia. After a rigorous review process, 5 1 regular papers and 13 concise papers covering important software engineering issues were selected for inclusion in the program of APSEC’97DCSC97. We regret that many excellent papers could not be included in the program due to the lack of time and space. Here, we wish to express our sincere thanks to all authors who submitted their novel work for consideration. We are greatly indebted to the members of the Program Committee and other reviewers for their extraordinary efforts in reviewing the papers and invaluable advice in putting this conference together.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131321318","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
POLAr: Geographic Placement Optimization for Latency Sensitive Applications POLAr:延迟敏感应用的地理位置优化
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00-31
Vinicius Monteiro de Lira, E. Carlini, Patrizio Dazzi
{"title":"POLAr: Geographic Placement Optimization for Latency Sensitive Applications","authors":"Vinicius Monteiro de Lira, E. Carlini, Patrizio Dazzi","doi":"10.1109/MDM.2019.00-31","DOIUrl":"https://doi.org/10.1109/MDM.2019.00-31","url":null,"abstract":"To assure a timely fruition of media and interactive applications to end users is a complex challenge, especially when potentially spread worldwide, at home or in mobility. It in fact requires a careful placement of the software services on the right computational resources, such that those services are placed as close as possible to end users to mitigate the effect of network on the user experience. In this demo paper, we present a tool that aims to facilitate the placement of latency sensitive applications on computational resources, by considering the geographical positioning of the user demand, the user experience, and the budget limitation of application owners.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130953922","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
A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems 移动社交网络系统的结构-行为聚合设计方法
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00012
Keng-Pei Lin, Yihuang Kang, W. Chao
{"title":"A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems","authors":"Keng-Pei Lin, Yihuang Kang, W. Chao","doi":"10.1109/MDM.2019.00012","DOIUrl":"https://doi.org/10.1109/MDM.2019.00012","url":null,"abstract":"A mobile social network system is generally complex that it comprises several views, such as data, function, structure, behavior and so on. There are two kinds of approaches to design these views. The multiple diagrams approach for mobile social network systems respectively chooses a distinct diagram for each view. The single diagram approach for mobile social network systems, instead of choosing several separated diagrams, utilizes only a single diagram. We propose the structure-behavior coalescence design method for mobile social network systems based on the single diagram approach to prevent the inter-diagram design inconsistency problems.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133190373","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 Weighted Alternating Least Squares on Constructing the Disease Networks in the Heterogeneous Process of Aging 加权交替最小二乘在构建老龄化异构过程疾病网络中的应用
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00112
Shu-Ti Wang, Yen-Ju Chen, Yi-Di Xu, T. Ting, T. Chan
{"title":"Application of Weighted Alternating Least Squares on Constructing the Disease Networks in the Heterogeneous Process of Aging","authors":"Shu-Ti Wang, Yen-Ju Chen, Yi-Di Xu, T. Ting, T. Chan","doi":"10.1109/MDM.2019.00112","DOIUrl":"https://doi.org/10.1109/MDM.2019.00112","url":null,"abstract":"Nowadays, the number of comorbidities (physical-physical, mental-mental, physical-mental) is growing fast. The potential network structure of highly related diseases could be revealed and found by several approaches with the concept of disease network, such as Weighted Alternating Least Squares (WALS). The 2012 medical history of the Health Examination for the Elderly of Taipei City was used for this study. Based on traditional correlation analysis, the results show that physical and mental diseases/disorders have some special comorbid structure. Moreover, the correlations had some potential clusters with significant between-cluster separation. However, while we used WALS approach to explore the hidden structure of disease networks, the complex and unexpected disease networks of the aging population were revealed according to subjects' medical history. The hidden structure could be identified and further used for WALS calculating via matching controls who had no the specific disease to cases who carried it by other disease diagnosis. Our findings showed the predictive accuracy with 0.83 for the diagnostic model. It indicated the importance of hidden factors being used for further calculating the disease correlations of multisystem disorders.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833208","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
Mitigating Congestion Using Environment Protective Dynamic Traffic Orchestration 使用环境保护型动态流量编排缓解拥塞
2019 20th IEEE International Conference on Mobile Data Management (MDM) Pub Date : 2019-06-01 DOI: 10.1109/MDM.2019.00125
Daniel Petrov, Rakan Alseghayer, Panos K. Chrysanthis
{"title":"Mitigating Congestion Using Environment Protective Dynamic Traffic Orchestration","authors":"Daniel Petrov, Rakan Alseghayer, Panos K. Chrysanthis","doi":"10.1109/MDM.2019.00125","DOIUrl":"https://doi.org/10.1109/MDM.2019.00125","url":null,"abstract":"Traffic congestion has a significant negative impact on the accelerating pace of daily human activities. Traffic jams increase the transportation costs for goods and humans. They are also amongst the leading factors for pollution in the atmosphere and consequently increase health risks for the population. One way to reduce the amount of emissions produced by vehicles in traffic jams is to mitigate traffic congestion and promote the usage of public transportation. In this paper, we propose a solution that establishes on-demand, virtual bus lanes to prioritize public transportation over other traffic and provide detour guidelines for other drivers, while causing insignificant detour penalties. Our solution leverages incremental window aggregations to identify the busiest road segments, priority scheduling, and Dijkstra shortest path algorithm to shape and detour traffic. Our experimental evaluation shows the effectiveness of our Environment Protective Traffic Orchestration (EPTrOn) algorithm in identifying and alleviating traffic congestions.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116451617","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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