Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
{"title":"Experiences Deploying an Always-on Farm Network","authors":"Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball","doi":"10.1145/3131214.3131220","DOIUrl":"https://doi.org/10.1145/3131214.3131220","url":null,"abstract":"Data-driven techniques for agriculture can help farmers reduce waste, increase farm output and ensure sustainability for the environment. The key enabler for such techniques is an always-on connected IoT system that can sense the different characteristics of the farm and generate short-term and long-term actionable insights for the farmer. Yet building such a system is very challenging due to sparse Internet connectivity and lack of reliable power sources. This is further exacerbated by weather variability that stresses the system in numerous ways. We discuss how we built and deployed Farmbeats [6] in the face of these challenges. We hope our experiences will aid researchers who are beginning to explore deployments in farming or other weakly connected, power-starved scenarios, such as construction, oil fields, mining, and others.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116194303","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}
{"title":"BEYOND REALITY: Head-Mounted Displays for Mobile Systems Researchers","authors":"Eduardo Cuervo","doi":"10.1145/3131214.3131218","DOIUrl":"https://doi.org/10.1145/3131214.3131218","url":null,"abstract":"Head-Mounted Displays (HMDs) have finally reached the point where they can comfortably and affordably transport people to virtual worlds or transform their physical reality by feeding timely information straight to their eyes. However, the technology behind HMDs is still not fully mature. There are plenty of open challenges in wireless networking, cloud computing, security, and privacy, as well as opportunities to create novel applications.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114100494","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}
E. Wang, William Li, Doug Hawkins, T. Gernsheimer, C. Norby-Slycord, Shwetak N. Patel
{"title":"HemaApp: Noninvasive Blood Screening of Hemoglobin Using Smartphone Cameras","authors":"E. Wang, William Li, Doug Hawkins, T. Gernsheimer, C. Norby-Slycord, Shwetak N. Patel","doi":"10.1145/3131214.3131223","DOIUrl":"https://doi.org/10.1145/3131214.3131223","url":null,"abstract":"","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115839150","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}
{"title":"Interpretable Machine Learning for Mobile Notification Management: An Overview of PrefMiner","authors":"Abhinav Mehrotra, R. Hendley, Mirco Musolesi","doi":"10.1145/3131214.3131225","DOIUrl":"https://doi.org/10.1145/3131214.3131225","url":null,"abstract":"Mobile notifications are increasingly used by a variety of applications to inform users about events, news or just to send alerts and reminders to them. However, many notifications are neither useful nor relevant to users' interests and, for this reason, they are considered disruptive and potentially annoying, as well. PrefMiner is a novel interruptibility management solution that learns users' preferences for receiving notifications based on automatic extraction of rules by mining their interaction with mobile phones. PrefMiner aims at being intelligible and interpretable for users, i.e., not just a \"black box\" solution, by suggesting rules to users who might decide to accept or discard them at run-time. The design of PrefMiner is based on a large scale mobile notification dataset and its effectiveness is evaluated by means of an in-the-wild deployment.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115645922","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}
{"title":"Wearable Computing: Retrospectives on the first decade","authors":"D. Siewiorek","doi":"10.1145/3103535.3103537","DOIUrl":"https://doi.org/10.1145/3103535.3103537","url":null,"abstract":"When I started at Carnegie Mellon University (CMU) in 1972, I joined Gordon Bell's research group just as he started to explore multiprocessor systems. Later in 1972, Sam Fuller joined the research group and the Computer Module project was born. Cm* (Computer module replicated one or more times as indicated by the Kline star) was an extensible architecture with shared address space across a local bus, extending to a cluster bus, and to intercluster links realizing the first non-uniform memory access (NUMA) multiprocessor [18]. By the end of the 1970s, industry became very interested in multiprocessor systems and it became difficult for university design teams primarily composed of students to keep pace with professional engineering teams with more resources in designing higher speed and ever more complex logic.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115589589","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}
Yuanjie Li, Chunyi Peng, Zengwen Yuan, Haotian Deng, Jiayao Li, Tao Wang
{"title":"MobileInsight: Analyzing Cellular Network Information on Smartphones","authors":"Yuanjie Li, Chunyi Peng, Zengwen Yuan, Haotian Deng, Jiayao Li, Tao Wang","doi":"10.1145/3103535.3103548","DOIUrl":"https://doi.org/10.1145/3103535.3103548","url":null,"abstract":"MobileInsight is a software tool that collects, analyzes and exploits runtime, fine-grained cellular network information over commodity phones. It is our first step to help developers and researchers understand the closed, large-scale cellular network system. It exposes the below-IP protocol messages to the user space, provides protocol analysis, and offers APIs for mobile applications to obtain low-level network information. We have built showcases to illustrate how MobileInsight can be applied to cellular network research.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124342655","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}
{"title":"Scaling Mobile Network Capacity Aggressively with QuickC","authors":"Rakesh Misra, Aditya Gudipati, S. Katti","doi":"10.1145/3103535.3103546","DOIUrl":"https://doi.org/10.1145/3103535.3103546","url":null,"abstract":"The global demand for mobile data is proliferating. In the last five years, the volume of data carried by mobile networks around the world has increased eighteen-fold, from 0.4 exabytes/month in 2011 to 7.2 exabytes/month in 2016 [1]. With mobile video and apps increasing in popularity, richer forms of content like augmented and virtual reality taking the world by storm, and mobile Internet of Things devices like smart wearables and connected cars set to pervade our daily lives, this proliferation in demand is projected to continue at least through the next decade if not beyond. How will mobile access networks scale their capacity to meet this proliferating demand.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"438 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121459816","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}
{"title":"An Elevator Pitch on Deep Learning","authors":"Yuan-Ting Hu, A. Schwing","doi":"10.1145/3103535.3103541","DOIUrl":"https://doi.org/10.1145/3103535.3103541","url":null,"abstract":"Machine learning improves all aspects of our life and very few days pass where we don't interact with a machine learning driven application. For example, we may use fitness trackers that monitor the quality of our sleep. Before leaving to work, we may check the weather forecast. To get to work, we use a navigation system that predicts the fastest route to our first meeting. On the road, we use voice commands to interact with our phone. Web searches and e-commerce recommendations are based on machine learning. Cameras detect faces when we take a picture and our email inboxes are protected by spam filters, which are designed using machine learning tools.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124891062","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}
{"title":"Gyro in the Air: Tracking 3D Orientation of Batteryless Internet of Things","authors":"Teng Wei, Xinyu Zhang","doi":"10.1145/3103535.3103547","DOIUrl":"https://doi.org/10.1145/3103535.3103547","url":null,"abstract":"","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"744 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132780949","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}
{"title":"Flying Blind with Reactive Cintrol of Aerial Drones","authors":"L. Mottola, K. Whitehouse","doi":"10.1145/3103535.3103545","DOIUrl":"https://doi.org/10.1145/3103535.3103545","url":null,"abstract":"Aerial drones represent a new breed of mobile computing. Compared to mobile phones and connected cars that only opportunistically sense or communicate, they offer direct control over their movements. Because of this, drones are enabling a range of sophisticated applications, such as photogrammetry and 3D reconstruction [12], as well as exploration of near-inaccessible areas.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126138327","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}