2014 IEEE 15th International Conference on Mobile Data Management最新文献_第2页

Fusing Information, Crowdsourcing and Mobility 融合信息、众包和移动性

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.77

V. Zadorozhny, M. Lewis

引用次数: 0

A Cross-Media Music Retrieval System by Converting Color Changes into Tonal Changes 一个将颜色变化转换成音调变化的跨媒体音乐检索系统

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.51

Yoshiyuki Kato, Shuichi Kurabayashi

{"title":"A Cross-Media Music Retrieval System by Converting Color Changes into Tonal Changes","authors":"Yoshiyuki Kato, Shuichi Kurabayashi","doi":"10.1109/MDM.2014.51","DOIUrl":"https://doi.org/10.1109/MDM.2014.51","url":null,"abstract":"We propose a cross-media music retrieval system that provides its users with a toolkit for formulating their own query by describing their emotional requirements for changes in mood of music as a sequence of images. To interpret the query, the system uses a metric space to convert the color changes in images into continuous tonal changes in music, and vice versa. The system provides delta functions for music and images to compute the changes as distance values in the metric space. Our system calculates the sentiment-oriented relevance score of the query and music by comparing their computed distance values. The advantage of the system is that it provides a bridge between heterogeneous image and music criteria by converting the visual impressions of images into a time-oriented invisible impression of music. This bridging operation is the foundation of our visual query construction method. This method allows users to search for music by subtly manipulating the form of a query in a trial-and-error manner by detecting the moods of music as color changes in images. This method is suitable for searching for unknown music that satisfies the preferences of users in web-based music resources that store many types of music, but without any publishing information related to the music.","PeriodicalId":322071,"journal":{"name":"2014 IEEE 15th International Conference on Mobile Data Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129308583","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

Spatial Task Assignment for Crowd Sensing with Cloaked Locations 具有隐蔽位置的人群感知空间任务分配

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.15

Layla Pournajaf, Li Xiong, V. Sunderam, Slawomir Goryczka

{"title":"Spatial Task Assignment for Crowd Sensing with Cloaked Locations","authors":"Layla Pournajaf, Li Xiong, V. Sunderam, Slawomir Goryczka","doi":"10.1109/MDM.2014.15","DOIUrl":"https://doi.org/10.1109/MDM.2014.15","url":null,"abstract":"Distributed mobile crowd sensing is becoming a valuable paradigm, enabling a variety of novel applications built on mobile networks and smart devices. However, this trend brings several challenges, including the need for crowd sourcing platforms to manage interactions between applications and the crowd (participants or workers). One of the key functions of such platforms is spatial task assignment which assigns sensing tasks to participants based on their locations. Task assignment becomes critical when participants are hesitant to share their locations due to privacy concerns. In this paper, we examine the problem of spatial task assignment in crowd sensing when participants utilize spatial cloaking to obfuscate their locations. We investigate methods for assigning sensing tasks to participants, efficiently managing location uncertainty and resource constraints. We propose a novel two-stage optimization approach which consists of global optimization using cloaked locations followed by a local optimization using participants' precise locations without breaching privacy. Experimental results using both synthetic and real data show that our methods achieve high sensing coverage with low cost using cloaked locations.","PeriodicalId":322071,"journal":{"name":"2014 IEEE 15th International Conference on Mobile Data Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125447086","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: 173

Towards Declarative Programming for Mobile Crowdsourcing: P2P Aspects 面向移动众包的声明式编程:P2P方面

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.69

Jurairat Phuttharak, S. Loke

引用次数: 4

Distinguishing Electric Vehicles from Fossil-Fueled Vehicles with Mobile Sensing 利用移动传感技术区分电动汽车和化石燃料汽车

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.32

M. Wüstenberg, H. Blunck, Kaj Grønbæk, M. Kjærgaard

{"title":"Distinguishing Electric Vehicles from Fossil-Fueled Vehicles with Mobile Sensing","authors":"M. Wüstenberg, H. Blunck, Kaj Grønbæk, M. Kjærgaard","doi":"10.1109/MDM.2014.32","DOIUrl":"https://doi.org/10.1109/MDM.2014.32","url":null,"abstract":"Existing methods for transportation mode detection (TMD) using mobile sensing make it generally possible to distinguish between walking, cycling, and motorized transport. However, our means of transport evolve and we develop radically new ways of transporting ourselves, thus new TMD sub-classification methods are needed to distinguish these new transport forms. As we transition from fossil-fueled cars to electric vehicles, switch to bikes with electric motors, ride in hybrid buses, or do city sightseeing on Segways, new challenges arise in distinguishing these from a mobile sensing perspective. Distinguishing electric vehicles (EVs) from fossil-fueled vehicles (FFVs) is a challenge, where traditional methods based on features such as GPS speed, or statistics on raw accelerometer data, are insufficient. In this paper, we present methods for distinguishing EVs from FFVs using smartphones with built-in inertial sensors, by reliably identifying idle-engine motor vibrations through features built on frequency analysis. We provide an extensive analysis of the challenges involved in making the EV/FFV distinction, as well as practical tools based on the methods. This includes analyzing the measurable similarities and differences between EVs and FFVs, and developing methods of reliably separating them. The presented tools implement the methods as classifiers built using machine learning. The analysis of our experiments shows that we can achieve an accuracy of 89-95% distinguishing EVs from FFVs, even with on-body phones.","PeriodicalId":322071,"journal":{"name":"2014 IEEE 15th International Conference on Mobile Data Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124190267","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

Finding Dense Locations in Indoor Tracking Data 在室内跟踪数据中寻找密集位置

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.29

Tanvir Ahmed, T. Pedersen, Hua Lu

引用次数: 21

eHealth TABLET: A Developing Country Perspective in Managing the Development and Deployment of a Mobile - Cloud Electronic Medical Record for Local Government Units 电子健康平板电脑:从发展中国家的角度管理地方政府单位移动云电子病历的开发和部署

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.44

M. R. Estuar, Dennis Batangan, A. Coronel, F. Castro, Anna Christine M. Amarra, R. A. C. Caliso, J. P. Vergara

{"title":"eHealth TABLET: A Developing Country Perspective in Managing the Development and Deployment of a Mobile - Cloud Electronic Medical Record for Local Government Units","authors":"M. R. Estuar, Dennis Batangan, A. Coronel, F. Castro, Anna Christine M. Amarra, R. A. C. Caliso, J. P. Vergara","doi":"10.1109/MDM.2014.44","DOIUrl":"https://doi.org/10.1109/MDM.2014.44","url":null,"abstract":"In January 2013, the eHealth TABLET (Technology Assisted Boards for Local government unit Efficiency and Transparency) project began with a two-fold objective of: 1) creating a tablet based system that will integrate existing health information systems to address the national objective of a unified health information management system by 2015 and 2) to create a transparency layer at the local government units such that communication lines between municipal health officers and the mayor are monitored. Bottom up approach was used to ensure that all features requested by multi-stakeholders are included in the design of the system. The end product was a mobile - web based system with the mobile application having three main components: the electronic medical record (EMR) application which comprises of the patient record and diagnosis module, the requests/approval application, and the dashboard application for data visualization. Responding to the needs of intended users, the web based application provides the following features: web auxiallry entry, aggregated disease report application and usage monitoring. Regular usage monitoring increased usage over time. For ICT development projects in public health, iteratve involvement of multi-stakeholders is necessary to ensure higher acceptance and adoption. From a design perspective, technologies should be designed to be interoperable such that interfacing with existing systems will be seamless.","PeriodicalId":322071,"journal":{"name":"2014 IEEE 15th International Conference on Mobile Data Management","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130535333","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

ConCon: Context-Aware Middleware for Content Sharing in Dynamic Participating Environments 讨论:动态参与环境中用于内容共享的上下文感知中间件

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.25

Michael Madhukalya, Mohan J. Kumar

{"title":"ConCon: Context-Aware Middleware for Content Sharing in Dynamic Participating Environments","authors":"Michael Madhukalya, Mohan J. Kumar","doi":"10.1109/MDM.2014.25","DOIUrl":"https://doi.org/10.1109/MDM.2014.25","url":null,"abstract":"In shared physical spaces such as parks, streets, tourist places etc., content generated at user's devices tends to lose its relevance with distance from the immediate spatio-temporal neighborhood. Here, content includes sensory information as well as user generated content. In such participatory environments, content generated at the producers' devices are often sought by applications seeking information on devices carried by consumers. Spatio-temporal context shared by producers and consumers is often a driving factor in determining the suitability of content to share in shared public spaces. In addition, mobile devices suffer from resource constraints. While there exist many middleware mechanisms to aid content sharing in participatory environments, there is need for a context-aware middleware that can provide an effective matching between consumer needs and content generated at producers under dynamically varying spatio-temporal as well as resource contexts. With this goal in mind, we propose a novel content based context-aware middleware called ConCon for dynamic participatory environments. ConCon employs a publish-subscribe architecture, with stable nodes called providers that serve as intermediaries between producers and consumers. ConCon takes into account content semantics, as well as context attributes such as location, residual energy, residual bandwidth etc. Through extensive simulation experiments performed on both real-world and synthetic traces we show that ConCon greatly enhances information quality by increasing diversity of shared content. Furthermore, ConCon reduces cost of sharing content in terms of resource usage in participatory environments.","PeriodicalId":322071,"journal":{"name":"2014 IEEE 15th International Conference on Mobile Data Management","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127235696","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

Overhearing-Based Efficient Boundary Detection in Dense Mobile Wireless Sensor Networks 密集移动无线传感器网络中基于窃听的高效边界检测

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.34

K. Matsuo, Keisuke Goto, A. Kanzaki, T. Hara, S. Nishio

{"title":"Overhearing-Based Efficient Boundary Detection in Dense Mobile Wireless Sensor Networks","authors":"K. Matsuo, Keisuke Goto, A. Kanzaki, T. Hara, S. Nishio","doi":"10.1109/MDM.2014.34","DOIUrl":"https://doi.org/10.1109/MDM.2014.34","url":null,"abstract":"In dense mobile wireless sensor networks, it is desirable to gather sensor data with as low traffic as possible. When an application requires geographical boundaries of sensor readings, it is able to satisfy the requirement while reducing traffic by gathering sensor data only from nodes located close to the boundaries. In order to do so, it is necessary to detect nodes located close to the boundaries (boundary detection). Until now, many boundary detection methods have been proposed, assuming networks constructed by fixed nodes. In these methods, each node preliminarily recognizes locations of itself and all its neighboring nodes. When applying this approach to a dense and mobile environment, it takes a large amount of traffic for exchanging information on locations of nodes. In this paper, we propose an efficient boundary detection method in dense mobile wireless sensor networks, which makes use of overhearing sensor data. In our proposed method, each node determines whether it exists close to a boundary or not based on sensor data overheard from its neighboring nodes. When a node determines that it dose not exist close to the boundary, it stops transmitting its own sensor data. By doing so, traffic for boundary detection can be reduced. We confirmed the effectiveness of our proposed method through simulation experiments.","PeriodicalId":322071,"journal":{"name":"2014 IEEE 15th International Conference on Mobile Data Management","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478956","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: 5

K Anonymity Based on Fuzzy Spatio-temporal Context 基于模糊时空背景的匿名性

2014 IEEE 15th International Conference on Mobile Data Management Pub Date : 2014-07-14 DOI: 10.1109/MDM.2014.60

Priti Jagwani, Saroj Kaushik

{"title":"K Anonymity Based on Fuzzy Spatio-temporal Context","authors":"Priti Jagwani, Saroj Kaushik","doi":"10.1109/MDM.2014.60","DOIUrl":"https://doi.org/10.1109/MDM.2014.60","url":null,"abstract":"With the wide spread usage of LBS, convenience has reached on the finger tips of mobile users, but on the other side, it has escalated many security and privacy concerns. In this paper we address the location K-anonymity problem using fuzzy spatio-temporal attributes, a new perspective of looking at privacy issue in location privacy. In the context of LBSs and mobile clients, location K-anonymity refers to K-anonymous usage of location information. A novel approach for determining location disclosure based on fuzzy attributes of spatio-temporal context is proposed which in turn will give us a value of K for K-anonymity purpose. Spatio-temporal fuzzy attributes for privacy issues are identified and Fuzzy Inference System (FIS) is implemented that takes these attributes as input and generates location disclosure value. Using Location disclosure value, K is computed for K-anonymity to ensure privacy. This value of K is directly based on current spatio temporal context and is valid for all users present in that context. Further, an exhaustive rule base of fuzzy rules is generated based on responses obtained by conducting survey on the potential users who frequently use POI (Point of Interest) services. Later on, fuzzy rules for FIS rule base are extracted using Fuzzy C Means (FCM) clustering technique. Using the rules extracted through FCM, the size of rule base is reduced and the performance of the FIS is evaluated. Number of rules in rule base is decreased for scalability and efficiency purposes. Root Mean Square Error (RMSE) for every reduced set is computed and compared with initial exhaustive rule base. It is observed that size of rule base can be decreased to a considerable extent.","PeriodicalId":322071,"journal":{"name":"2014 IEEE 15th International Conference on Mobile Data Management","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129092766","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