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It is our great pleasure to welcome you to the Sixteenth International Workshop on Mobile Computing Systems -- HotMobile '15. This year's workshop continues the tradition of previous years, being a highly selective venue for mobile computing research. HotMobile '15 again serves its mission as an interactive workshop focused on mobile applications, systems, and environments, as well as their underlying state-of-the-art technologies.
The call for papers attracted 85 submissions from Asia, Australia, Europe, North America, and South America. The program committee accepted 23 across a variety of topics, including: understanding human gestures, the Internet-of-things, mobile energy requirements, cellular networks, network monitoring and imaging, location, mobile platforms, learning, and privacy. The program also includes a keynote speech by Mark Corner of Fiksu Inc. and The University of Massachusetts at Amherst examining the tradeoffs between academia and the startup world, the challenges in starting companies, and the calculus for joining them -- along with his startup experience in mobile advertising technology. 16 posters and 7 demos were accepted for display.
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Academia, Startups and Mobile Advertising
Should more academics be making the leap to startups? I have been lucky enough to have that experience: going from a tenured professor position in mobile systems at UMass Amherst to a CTO job at a $100M+ startup in the mobile advertising space, Fiksu ...
Memory Stones: An Intuitive Information Transfer Technique between Multi-touch Computers
Owners of multiple personal computing devices, such as mobile phones, tablet PCs, laptops, or desktop PCs, may frequently want to transfer information from one device to another.Whereas a drag-and-drop function on the same computing device is easy to ...
Finger-writing with Smartwatch: A Case for Finger and Hand Gesture Recognition using Smartwatch
Smartwatch is becoming one of the most popular wearable device with many major smartphone manufacturers such as Samsung and Apple releasing their smartwatches recently. Apart from the fitness applications, the smartwatch provides a rich user interface ...
Mobile Touch-Free Interaction for Global Health
Health workers in remote settings are increasingly using mobile devices to assist with a range of medical tasks that may require them to handle potentially infectious biological material, and touching their mobile device in these scenarios is ...
Retro-VLC: Enabling Battery-free Duplex Visible Light Communication for Mobile and IoT Applications
The ubiquity of the lighting infrastructure makes the visible light communication (VLC) well suited for mobile and Internet of Things (IoT) applications in the indoor environment. However, existing VLC systems have primarily been focused on one-way ...
The Internet of Things Has a Gateway Problem
The vision of an Internet of Things (IoT) has captured the imagination of the world and raised billions of dollars, all before we stopped to deeply consider how all these Things should connect to the Internet. The current state-of-the-art requires ...
Reducing Energy Consumption of Alarm-induced Wake-ups on Android Smartphones
Alarms are often used to set smartphones to perform tasks at scheduled times. Many applications use alarm functionality, and devices consequently experience frequent wake-ups and waste energy. In this paper, we analyze alarm-induced wake-ups in the ...
Energy-Efficiency Comparison of Mobile Platforms and Applications: A Quantitative Approach
Given the number of choices of platforms and apps with similar functionalities, this paper describes the challenges and identifies the gaps toward comparing mobile platforms and apps for energy efficiency. In addition, based on case studies that focus ...
CQIC: Revisiting Cross-Layer Congestion Control for Cellular Networks
With the advent of high-speed cellular access and the overwhelming popularity of smartphones, a large percent of today's Internet content is being delivered via cellular links. Due to the nature of long-range wireless signal propagation, the capacity of ...
The Case for Offload Shaping
- Wenlu Hu,
- Brandon Amos,
- Zhuo Chen,
- Kiryong Ha,
- Wolfgang Richter,
- Padmanabhan Pillai,
- Benjamin Gilbert,
- Jan Harkes,
- Mahadev Satyanarayanan
When offloading computation from a mobile device, we show that it can pay to perform additional on-device work in order to reduce the offloading workload. We call this offload shaping, and demonstrate its application at many different levels of ...
Can Accurate Predictions Improve Video Streaming in Cellular Networks?
- Xuan Kelvin Zou,
- Jeffrey Erman,
- Vijay Gopalakrishnan,
- Emir Halepovic,
- Rittwik Jana,
- Xin Jin,
- Jennifer Rexford,
- Rakesh K. Sinha
Existing video streaming algorithms use various estimation approaches to infer the inherently variable bandwidth in cellular networks, which often leads to reduced quality of experience (QoE). We ask the question: "If accurate bandwidth prediction were ...
CrowdREM: Harnessing the Power of the Mobile Crowd for Flexible Wireless Network Monitoring
High-speed mobile broadband connections have opened exciting new opportunities to collect sensor data from thousands or even millions of distributed mobile devices for the purpose of crowdsourced decision making. In this paper, we propose CrowdREM (...
A Wireless Spectrum Analyzer in Your Pocket
We propose Snoopy, a system that can translate one's mobile phone or tablet into a low-cost, yet effective RF spectrum analyzer. Since typical spectrum analyzers are specialized hardware that is both expensive to acquire and cumbersome to carry around, ...
60GHz Mobile Imaging Radar
Mobile computing is undergoing a significant shift. Where traditional mobile networks revolved around users and their movements, new networks often center around autonomous mobile agents. These include semi-autonomous drones on military missions, vacuum ...
Indoor Person Identification through Footstep Induced Structural Vibration
Person identification is crucial in various smart building applications, including customer behavior analysis, patient monitoring, etc. Prior works on person identification mainly focused on access control related applications. They achieve ...
Human Assisted Positioning Using Textual Signs
Location information is one of the key enablers to context-aware systems and applications for mobile devices. However, most existing location sensing techniques do not work or will be significantly slowed down without infrastructure support, which ...
Step-by-step Detection of Personally Collocated Mobile Devices
Many people now carry multiple mobile devices on a daily basis. Wearables, smartphones, tablets, and laptops all have their different advantages, but collectively they can increase a user's device management burden. Management problems include leaving a ...
The Missing Numerator: Toward a Value Measure for Smartphone Apps
While great strides have been made in measuring energy consumption, these measures alone are not sufficient to enable effective energy management on battery-constrained mobile devices. What is urgently needed is a way to put energy consumption into ...
maybe We Should Enable More Uncertain Mobile App Programming
- Geoffrey Challen,
- Jerry Antony Ajay,
- Nick DiRienzo,
- Oliver Kennedy,
- Anudipa Maiti,
- Anandatirtha Nandugudi,
- Sriram Shantharam,
- Jinghao Shi,
- Guru Prasad Srinivasa,
- Lukasz Ziarek
One of the reasons programming mobile systems is so hard is the wide variety of environments a typical app encounters at runtime. As a result, in many cases only post-deployment user testing can determine the right algorithm to use, the rate at which ...
The Case for Operating System Management of User Attention
From wearable displays to smart watches to in-vehicle infotainment systems, mobile computers are increasingly integrated with our day-to-day activities. Interactions are commonly driven by applications that run in the background and notify users when ...
Can Deep Learning Revolutionize Mobile Sensing?
Sensor-equipped smartphones and wearables are transforming a variety of mobile apps ranging from health monitoring to digital assistants. However, reliably inferring user behavior and context from noisy and complex sensor data collected under mobile ...
Mobile AD(D): Estimating Mobile App Session Times for Better Ads
While mobile advertisement is the dominant source of revenue for mobile apps, the usage patterns of mobile users, and thus their engagement and exposure times, may be in conflict with the effectiveness of current ads. Users engagement with apps can ...
Policy-Carrying Data: A Privacy Abstraction for Attaching Terms of Service to Mobile Data
Despite decades of work on privacy-protecting systems, mobile user privacy remains at the mercy of cloud service providers. This paper proposes a different approach -- let users attach Terms of Service (ToS) to their data before uploading it to the ...
Sound Shredding: Privacy Preserved Audio Sensing
Sound provides valuable information about a mobile user's activity and environment. With the increasing large market penetration of smart phones, recording sound from mobile phones' microphones and processing the sound information either on mobile ...
Cited By
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Xiang C, Yang D, Shmaliy Y, Sun Y, Zaidi H, Meng H, Kolivand H, Luo J and Alazab M (2023). RL-based adaptive live video streaming for academic event 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 10.1117/12.3009563, 9781510668621, (124)
- Ikematsu K and Yamanaka S ScraTouch Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, (1-10)
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
HotMobile '18 | 65 | 19 | 29% |
HotMobile '16 | 55 | 18 | 33% |
HotMobile '15 | 85 | 23 | 27% |
HotMobile '14 | 72 | 22 | 31% |
HotMobile '12 | 68 | 14 | 21% |
Overall | 345 | 96 | 28% |