The 25th Annual International Conference on Mobile Computing and Networking最新文献_第9页

SignSpeaker SignSpeaker

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3300117

Jiahui Hou, Xiangyang Li, Peide Zhu, Zefan Wang, Yu Wang, Jianwei Qian, Panlong Yang

{"title":"SignSpeaker","authors":"Jiahui Hou, Xiangyang Li, Peide Zhu, Zefan Wang, Yu Wang, Jianwei Qian, Panlong Yang","doi":"10.1145/3300061.3300117","DOIUrl":"https://doi.org/10.1145/3300061.3300117","url":null,"abstract":"Sign language is a natural and fully-formed communication method for deaf or hearing-impaired people. Unfortunately, most of the state-of-the-art sign recognition technologies are limited by either high energy consumption or expensive device costs and have a difficult time providing a real-time service in a daily-life environment. Inspired by previous works on motion detection with wearable devices, we propose Sign Speaker - a real-time, robust, and user-friendly American sign language recognition (ASLR) system with affordable and portable commodity mobile devices. SignSpeaker is deployed on a smartwatch along with a smartphone; the smartwatch collects the sign signals and the smartphone outputs translation through an inbuilt loudspeaker. We implement a prototype system and run a series of experiments that demonstrate the promising performance of our system. For example, the average translation time is approximately $1.1$ seconds for a sentence with eleven words. The average detection ratio and reliability of sign recognition are 99.2% and 99.5%, respectively. The average word error rate of continuous sentence recognition is 1.04% on average.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127836204","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

Device Administrator Use and Abuse in Android: Detection and Characterization Android中设备管理员的使用和滥用:检测和表征

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3345452

Zhiyong Shan, Raina Samuel, Iulian Neamtiu

{"title":"Device Administrator Use and Abuse in Android: Detection and Characterization","authors":"Zhiyong Shan, Raina Samuel, Iulian Neamtiu","doi":"10.1145/3300061.3345452","DOIUrl":"https://doi.org/10.1145/3300061.3345452","url":null,"abstract":"Device Administrator (DA) capabilities for mobile devices, e.g., remote locking/wiping, or enforcing password strength, were originally introduced to help organizations manage phone fleets or enable parental control. However, DA capabilities have been subverted and abused: malicious apps have used DA to create ransomware or lock users out, while benign apps have used DA to prevent or hinder uninstallation; in certain cases the only remedy is to factory-reset the phone. We call these apps \"Deathless Device Administrator\" (DDA), i.e., apps that cannot be uninstalled. We provide the first systematic study of Android DA capabilities, DDA apps, DDA-attack resistance across Android versions, and DDA-induced families in malicious apps. To enable scalable studies of questionable DA behavior, we developed DAAX, a static analyzer which exposes potential DA abuse effectively and efficiently. In a corpus of 39,459 apps (20,467 malicious and 18,992 benign) DAAX has found 4,135 DA apps and 691 potential DDA apps. The static analysis results on the 4,135 apps were cross-checked via dynamic analysis on at least 3 phones, confirming 578 true DDAs, including apps currently on Google Play. The study has shown that DAAX is effective (84.8% F-measure) and efficient (analysis typically takes 205 seconds per app).","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125188691","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

Demo: Tagging IoT Data in a Drone View 演示:在无人机视图中标记物联网数据

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343378

Lan-Da Van, Chun-Hao Chang, Kit-Lun Tong, Kun-Ru Wu, Ling-Yan Zhang, Y. Tseng

引用次数: 6

SMAS'19: 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability 首届美国计算机学会智能移动与可持续发展的新兴智能技术和基础设施研讨会

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3355633

Catia Prandi, S. Mirri, G. Pau

引用次数: 0

Poster: Optimizing Mobile Video Telephony Using Deep Imitation Learning 海报:利用深度模仿学习优化移动视频电话

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343408

Anfu Zhou, Huanhuan Zhang, Guangyuan Su, Leilei Wu, Ruoxuan Ma, Zhen Meng, Xinyu Zhang, Xiufeng Xie, Huadong Ma, Xiaojiang Chen

引用次数: 0

Characterizing Uncertainties of Wireless Channels in Connected Vehicles 车联网无线信道的不确定性表征

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343409

E. Soltanaghaei, Mahmoud M. Elnaggar, Katie Kleeman, K. Whitehouse, C. Fleming

引用次数: 1

ClientMarshal ClientMarshal

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3300135

Apurv Bhartia, Bo Chen, Derrick Pallas, Waldin Stone

{"title":"ClientMarshal","authors":"Apurv Bhartia, Bo Chen, Derrick Pallas, Waldin Stone","doi":"10.1145/3300061.3300135","DOIUrl":"https://doi.org/10.1145/3300061.3300135","url":null,"abstract":"Client devices must cooperate to share limited resources in wireless local area networks (WLANs). Standards exist for access points (APs), to use a more holistic view of the RF environment, to share information with clients (802.11v/k), allowing clients to make better performance-impacting decisions, e.g. choosing to roam between APs. Standards intended to lower the cost of these expensive control-plane operations (802.11r) also exist. In this paper, we use large scale measurements to show the limited adoption of existing client-based techniques. We propose ClientMarshal for enterprise WLANs, which provides network infrastructure more control over these decisions without modification to client device software. ClientMarshal divides the enterprise network into logical groups called cells, each consisting of a small number of neighboring APs operating on different channels. All APs belonging to the same cell broadcast the same wireless identity (BSSID) to client devices, and appear as a single virtual AP. The key enabler behind ClientMarshal is FreeSteer (FST), a novel protocol we develop that allows an AP to dynamically steer an associated client to another AP in the same cell based on various network measurements in order to improve overall network performance. This design also improves the roaming experience by bypassing traditional control-plane operations, avoiding significant overhead as well as client implementation defects. Using systematic evaluation and implementation on commodity APs, we show the efficacy and control of FST protocol in client steering. Compared to state-of-the-art approaches, FST can steer clients almost 2.5X faster, with 52% higher success rate, and reduce packet loss by more than 68%.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123371482","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: 9

Software-Defined Cooking (SDC) using a Microwave Oven 使用微波炉的软件定义烹饪(SDC)

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343368

Haojian Jin, Jingxian Wang, Swarun Kumar, Jason I. Hong

引用次数: 1

MP-H2: A Client-only Multipath Solution for HTTP/2 MP-H2: HTTP/2的客户端多路径解决方案

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3300131

Ashkan Nikravesh, Y. Guo, Xiao Zhu, Feng Qian, Z. Morley Mao

引用次数: 33

Poster: DyMand -- An Open-Source Mobile and Wearable System for Assessing Couples' Dyadic Management of Chronic Diseases 海报:DyMand——一个开源的移动和可穿戴系统，用于评估夫妇对慢性病的双重管理

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343399

George Boateng, P. Santhanam, J. Lüscher, U. Scholz, T. Kowatsch

引用次数: 8