2014年度ゼミテーマ †

モバイルシステムに関する国際学会論文の輪講およびAndroidプラグラミング †

場所 †

• 演習室3->11107Bへ変更

後半6回 †

• 最終発表会学籍番号順

後半5回 †

• 企画書

後半4回 †

• AndroidStudioがソースコード編集に支障を来す程重い方は以下のサイトに乗っている使用メモリ量を増やす設定を行ってみてください − http://dev.classmethod.jp/smartphone/android/android-studio-vm-options/
• stop update: file>settings>ide settings updates> canary->statable

学習用ポインタ †

• Android Developers API Guide http://developer.android.com/guide/index.html
• Android Developers Samples http://developer.android.com/samples/index.html
• Android Developers (Sensor) http://developer.android.com/reference/android/hardware/Sensor.html
• Tech Booster http://techbooster.org/android/application/6191/
• Android Training (Mixi-inc.） https://github.com/mixi-inc/AndroidTraining

TrajectorySensing.apk †

• http://goo.gl/8wFOLM or
• https://www.dropbox.com/s/h0mzz7ydjk7kls7/TrajectorySensing.apk or
• http://www.cps.im.dendai.ac.jp/files/classes/2014ubi/TrajectorySensing.apk

計測した様々なデータをエクセルでグラフにまとめてワードかPDFで提出せよ。
計測に対する考察を加えること。
cvsをエクセルで保存する場合は.xlsにしないこと。
ファイルが壊れる。特にtimestamp!

movement=ax^2 +ay^2 +az^2 
となっていて重力が加味されていい加減です。
もし値を正確に取りたい場合y方向に重力が有る場合は
movement2=sqrt(ax^2+(ay-9.8)^+az^2)

あるいは
movement3=sqrt((ax-gravity_x)^2+(ay-gravity_y)^+(az-gravity_z)^2)
を自分でエクセルで導入するのがよい。

音の大きさは音圧レベルを表すDBがつかえる。
光の強さはlux
elevationはネットにつながっている方が正確
GPSスピード
accuracyはGPSの精度　屋外で見通しがよければ使える。
azimuthは方位
来週までに授業フォルダDropboxに提出すること。

サンプルコード †

SensorSample2 Project †

• https://www.dropbox.com/s/356hpuygc1kctnl/Sample2.zip or
• http://www.cps.im.dendai.ac.jp/files/classes/2014ubi/Sample2.zip

SurfaceViewTest Project †

• https://www.dropbox.com/s/7zd9dgpp3y7hhyg/SurfaceViewTest.zip or
• http://www.cps.im.dendai.ac.jp/files/classes/2014ubi/SurfaceViewTest.zip

CanvasTest †

• http://www.cps.im.dendai.ac.jp/files/classes/2014ubi/CanvasTest.zip

後半第2回 †

A †

• Auditeur: A Mobile-Cloud Service Platform for Acoustic Event Detection on Smartphones
• Shahriar Nirjon1, Robert F. Dickerson1, Philip Asare1, Qiang Li1, Dezhi Hong1, John A.
• Stankovic1, Pan Hu2, Guobin Shen2, and Xiaofan Jiang3
• 1Department of Computer Science, University of Virginia, USA

B †

• ProtectMyPrivacy: Detecting and Mitigating Privacy Leaks on iOS Devices Using Crowdsourcing
• Yuvraj Agarwal
• University of California, San Diego
• yuvraj@cs.ucsd.edu
• Malcolm Hall
• University of California, San Diego
• mhall@cs.ucsd.edu

C †

• Mobility Prediction-based Smartphone Energy Optimization for Everyday Location Monitoring
• Yohan Chon
• Elmurod Talipov
• elmurod@cs.yonsei.ac.kr
• Hyojeong Shin

D †

• Paper Generators: Harvesting Energy from
• Touching, Rubbing and Sliding
• Mustafa Emre Karagozler1, Ivan Poupyrev1, Gary K. Fedder2, Yuri Suzuki1
• 1 Disney Research Pittsburgh,4720 Forbes Avenue

6月30日までにtsの実験を行うこと。 †

cvsをエクセルで保存する場合は.xlsにしないこと。
ファイルが壊れる。特にtimestamp!

movement=ax^2 +ay^2 +az^2 
となっていて重力が加味されていい加減です。
もし値を正確に取りたい場合y方向に重力が有る場合は
movement2=sqrt(ax^2+(ay-9.8)^+az^2)

あるいは
movement3=sqrt((ax-gravity_x)^2+(ay-gravity_y)^+(az-gravity_z)^2)
を自分でエクセルで導入するのがよい。

音の大きさは音圧レベルを表すDBがつかえる。
光の強さはlux
elevationはネットにつながっている方が正確
GPSスピード
accuracyはGPSの精度　屋外で見通しがよければ使える。
azimuthは方位

後半メンバー †

前半メンバー †

• 第2回数課題SmartPhoneをDropbox内のTSアプリを実行して様々なものをセンシングしてくること。

• 前半2014年5月19日発表予定
• 前半Aチーム
  • SmartAds?: Bringing Contextual Ads to Mobile Apps † Suman Nath (Microsoft Research), Felix Xiaozhu Lin (Rice University), Lenin Ravindranath Sivalingam, Jitu Padhye (Microsoft Research)
  • http://research.microsoft.com/pubs/191098/SmartAds.pdf

• 前半Bチーム
  • If You See Something, Swipe towards It: Crowdsourced Event Localization Using Smartphones
  • See Through Walls with Wi-Fi!

• 前半Cチーム
  • EnGarde: Protecting the Mobile Phone from Malicious NFC Interactions
  • http://research.microsoft.com/pubs/189208/engarde-mobisys13.pdf

• 前半Dチーム
  • Friends don't lie: inferring personality traits from social network structure
  • http://dl.acm.org/citation.cfm?id=2370266
  • Authors: Jacopo Staiano University of Trento, Trento, Italy Bruno Lepri MIT Media Lab, Cambridge, Ma, Nadav Aharony MIT Media Lab, Cambridge, Ma, Fabio Pianesi Fondazione Bruno Kessler, Trento, Italy Nicu Sebe University of Trento, Trento, Italy,Alex Pentland MIT Media Lab, Cambridge, Ma
  • UbiComp '12 Proceedings of the 2012 ACM Conference on Ubiquitous Computing Pages 321-330 ACM New York, NY, USA c2012
  • table of contents ISBN: 978-1-4503-1224-0 doi>10.1145/2370216.2370266

履修条件 †

• Android端末がなくても履修できます。
• Java基礎
• モバイル関係が好きな人
• 英語の能力は問いません。

採点方法　 †

• 実験レポート1回＋論文調査プレゼン＋Androidアプリの発表会

目的 †

「最新研究の調査能力とスマートフォンを利用した基礎的なセンシングアプリ開発を行う企画力、技術力を習得する」

スケジュール †

• ガイダンス＋国際論文の説明(1回)
  • Mobisys,Ubicomp,Percom,Pervasiveの論文から輪講を行う　
  • ２人で１本の論文をプレゼンする。
  • 論文リストは指示した中から選択
• 既存プログラムによるモバイルセンシング実験(1回)
• 国際学会論文発表会(1回)
• Androidによる簡単なセンサプログラムの開発(3回)
  • 開発環境の基礎準備(1回)
  • 開発(1回)
  • 発表会(1回)

論文候補最新版 †

• http://www.sigmobile.org/mobisys/2014/program.php
• http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6805340
• http://chi2014.acm.org/program/best-talk
• http://www.sigmobile.org/pubs/
• http://pervasivehealth.org/2014/show/prog-com
• http://conferences.sigcomm.org/sigcomm/2014/program.php
• http://www.sigmobile.org/mobisys/2014/program.php
• http://www.sigmobile.org/mobicom/2014/program.html
• http://www.percom.org/2014/?q=program
• http://www.hotmobile.org/2014/index.php?id=program
• http://ubicomp.org/ubicomp2014/attending/program.php

論文候補候補群1 †

Whole-Home Gesture Recognition Using Wireless Signals †

• Qifan Pu, Sidhant Gupta, Shyamnath Gollakota, and Shwetak Patel
• Mobicom 2013
• http://wisee.cs.washington.edu/wisee_paper.pdf

See Through Walls with Wi-Fi! †

• Fadel Adib and Dina Katabi
• SigComm2013
• http://people.csail.mit.edu/fadel/papers/wivi-paper.pdf

ACE: Exploiting Correlation for Energy-Efficient and Continuous Context Sensing †

• Suman Nath
• Mobisys2012
• http://research.microsoft.com/pubs/160599/main.pdf

Auditeur: A Mobile-Cloud Service Platform for Acoustic Event Detection on Smartphones †

• Shahriar Nirjon, Robert F. Dickerson, Philip Asare, Qiang Li, Dezhi Hong, John A. Stankovic, Pan Hu, Guobin Shen and Xiaofan Jiang
• MobiSys 2013
• http://fredjiang.com/papers/MobiSys2013Auditeur.pdf

Autonomous Gathering of Livestock Using a Multi-functional Sensor Network Platform †

• Marek Doniec, Carrick Detweiler, Iuliu Vasilescu, Dean M. Anderson, and Daniela Rus
• HotEmNets 2010
• http://dl.acm.org/citation.cfm?id=1978642.1978649&coll=DL&dl=ACM&CFID=436945084&CFTOKEN=24191198

The Smart Thermostat: Using Occupancy Sensors to Save Energy in Homes †

Jiakang Lu, Tamin Sookoor, Vijay Srinivasan, Ge Gao, Brian Holben, John Stankovic, Eric Field, Kamin Whitehouse

• Sensys 2010
• http://www.cs.virginia.edu/~whitehouse/research/buildingEnergy/sensys10thermostat.pdf

On the human ability to discriminate audio ambiances from similar locations of an urban environment †

• Dani Korpi • Toni Heittola • Timo Partala • Antti Eronen • Annamaria Mesaros • Tuomas Virtanen
• Personal and Ubiquitous Computing(journal)
• http://delivery.acm.org/10.1145/2460000/2458813/779_2012_Article_625.pdf?ip=157.82.159.47&id=2458813&acc=ACTIVE%20SERVICE&key=D2341B890AD12BFE%2E925D03907F1B22EF%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID=436950952&CFTOKEN=83426036&__acm__=1397216152_4addc59d9f3c6bf11459fb91cce8084d

Dude, Where’s My Card? RFID Positioning That Works with Multipath and Non-Line of Sight †

• Jue Wang and Dina Katabi
• Sigcomm 2013
• http://conferences.sigcomm.org/sigcomm/2013/papers/sigcomm/p51.pdf

Mobility Prediction-based Smartphone Energy Optimization for Everyday Location --Monitoring †

• Yohan Chon, Elmurod Talipov, Hyojeong Shin, and Hojung Cha
• Sensys 2011
• http://mobed.yonsei.ac.kr/~yohan/Yohan_Chon_SmartDC_SenSys_2011_Paper.pdf

Placer: Semantic Place Labels from Diary Data †

• John Krumm and Dany Rouhana
• Ubicomp 2013
• http://delivery.acm.org/10.1145/2500000/2493504/p163-krumm.pdf?ip=27.142.89.5&id=2493504&acc=OPENTOC&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E9F04A3A78F7D3B8D&CFID=316158425&CFTOKEN=20513013&__acm__=1397184002_6bd826c718e0762b877eb27c8b6f57aa

Hallway based Automatic Indoor Floorplan Construction using Room Fingerprints †

• Yifei Jiangy, Yun Xiangx, Xin Pany, Kun LiQin Lvy, Robert P. Dickx, Li Shang, -Michael Hannigan
• Ubicomp 2013
• http://dl.acm.org/citation.cfm?id=2493470

If you see something, swipe towards it: crowdsourced event localization using smartphones †

• Robinwentao Ouyang and Animesh Srivastava and Prithvi Prabahar and Romit Roy -Choudhury and Merideth Addicott and F Joseph McClernon
• Ubicomp 2013
• http://dl.acm.org/citation.cfm?id=2493455

ProxiMate: Proximity-based Secure Pairing using Ambient Wireless Signals †

• Suhas Mathur, Rob Miller, Alexander Varshavsky, Wade Trappe, Narayan Mandayam
• Mobisys2011
• http://www2.research.att.com/~varshavsky/papers/mathur11proximate.pdf

ThermOn ‒ Thermo-musical Interface for an Enhanced Emotional Experience †

• Shimon Akiyama, Katsunari Sato, Yasutoshi Makino, Takashi Maeno
• ISWC2013
• http://dl.acm.org/citation.cfm?id=2494326

Friends don't lie: inferring personality traits from social network structure †

• J. Staiano, B. Lepri, N. Aharony, F. Pianesi, N. Sebe and A. Pentland
• Ubicomp 2012
• http://dl.acm.org/citation.cfm?id=2370266

Privacy, Quality of Information, and Energy Consumption in Participatory Sensing Systems †

• Idalides J. Vergara-Laurens, Diego Mendez, and Miguel A. Labrador
• PerCom 2014
• http://www.csee.usf.edu/REU/publications/paperQuality.pdf

Paper Generators: Harvesting Energy from Touching, Rubbing and Sliding †

• Mustafa Emre Karagozler, Ivan Poupyrev, Gary K. Fedder, Yuri Suzuki1
• UIST 2013
• https://docs.google.com/viewer?url=http://www.disneyresearch.com/wp-content/uploads/Project_PaperGenerators_uist2013_paper.pdf

Online Distributed Sensor Selection †

• D. Golovin and M. Faulkner and A. Krause
• IPSN 2010
• http://dl.acm.org/citation.cfm?id=1791239

Dhwani: Secure Peer-to-Peer Acoustic NFC †

• Rajalakshmi Nandakumar, Krishna Kant Chintalapudi, Venkata N. Padmanabhan, Ramarathnam Venkatesan
• Sigcomm 2013
• http://conferences.sigcomm.org/sigcomm/2013/papers/sigcomm/p63.pdf

調査論文候補群2MobiSys2013 †

ProtectMyPrivacy: Detecting and Mitigating Privacy Leaks on iOS Devices Using Crowdsourcing †

• Yuvraj Agarwal, Malcolm Hall (University of California, San Diego)
• http://www.sysnet.ucsd.edu/sysnet/miscpapers/Agarwal_MobiSys2013_ProtectMyPrivacy.pdf

SmartAds: Bringing Contextual Ads to Mobile Apps †

• Suman Nath (Microsoft Research), Felix Xiaozhu Lin (Rice University), Lenin Ravindranath Sivalingam, Jitu Padhye (Microsoft Research)
• http://research.microsoft.com/pubs/191098/SmartAds.pdf

Scalable Crowd-Sourcing of Video from Mobile Devices †

• Pieter Simoens (Ghent University College - iMinds, Carnegie Mellon University), Yu Xiao (Aalto University, Carnegie Mellon University), Padmanabhan Pillai (Intel Labs), Zhuo Chen, Kiryong Ha, Mahadev Satyanarayanan (Carnegie Mellon University)
• http://users.atlantis.ugent.be/psimoens/2013_MobiSys_ScalableCrowdSourcingOfVideoFromMobileDevices.pdf

SIF: A Selective Instrumentation Framework for Mobile Applications †

• Shuai Hao, Ding Li, William G.J. Halfond, Ramesh Govindan (University of Southern California)
• http://enl.usc.edu/Papers/?action=download&upname=Hao13b.pdf

SmartSynth: Synthesizing Smartphone Automation Scripts from Natural Language †

• Vu Le (University of California, Davis), Sumit Gulwani (Microsoft Research, Redmond), Zhendong Su (University of California, Davis)
• http://csiflabs.cs.ucdavis.edu/~vmle/pdfs/mobisys13.pdf

Spartacus: Spatially-Aware Interaction for Mobile Devices Through Energy-Efficient Audio Sensing †

• Zheng Sun, Aveek Purohit (Carnegie Mellon University), Raja Bose (Microsoft Silicon Valley), Pei Zhang (Carnegie Mellon University)
• http://users.ece.cmu.edu/~zhengs/MySite/attachments/Spartacus_camera_ready.pdf

NuActiv: Recognizing Unseen New Activities Using Semantic Attribute-Based Learning †

• Heng-Tze Cheng, Feng-Tso Sun, Martin Griss (Carnegie Mellon University), Paul Davis, Jianguo Li, Di You (Motorola Mobility)
• http://users.ece.cmu.edu/~hengtzec/papers/MobiSys13_NuActiv_Cheng_CMU.pdf

SocioPhone: Everyday Face-To-Face Interaction Monitoring Platform Using Multi-Phone Sensor Fusion †

• Youngki Lee (Singapore Management University), Chulhong Min, Chanyou Hwang, Jaeung Lee, Inseok Hwang, Younghyun Ju, Chungkuk Yoo, Miri Moon, Uichin Lee, Junehwa Song (KAIST)
• http://nclab.kaist.ac.kr/papers/Conference/MobiSys2013_SocioPhone.pdf

Auditeur: A Mobile-Cloud Service Platform for Acoustic Event Detection on Smartphones †

• Shahriar Nirjon, Robert F. Dickerson, Philip Asare, Qiang Li, Dezhi Hong, John A. Stankovic (University of Virginia), Pan Hu, Guobin Shen (Microsoft Research Asia), Xiaofan Jiang (Intel Labs China)
• http://fredjiang.com/papers/MobiSys2013Auditeur.pdf

EnGarde: Protecting the Mobile Phone from Malicious NFC Interactions †

• Jeremy Gummeson (University of Massachusetts Amherst), Bodhi Priyantha (Microsoft Research), Deepak Ganesan, Derek Thrasher, Pengyu Zhang (University of Massachusetts Amherst)
• http://research.microsoft.com/pubs/189208/engarde-mobisys13.pdf

文献調査候補群3Ubicomp2013 †

Understanding the Coverage and Scalability of Place-centric CrowdSensing †

• Yohan Chon (Yonsei University), Nicholas D. Lane (Microsoft Research Asia), Yunjong Kim (Yonsei University), Feng Zhao (Microsoft Research Asia), Hojung Cha (Yonsei University)
• http://niclane.org/pubs/ubicomp_crowdstudy.pdf

If You See Something, Swipe towards It: Crowdsourced Event Localization Using Smartphones †

• Robin Wentao Ouyang (Duke University), Animesh Srivastava (Duke University), Prithvi Prabahar (Duke University), Romit Roy Choudhury (Duke University), Merideth Addicott (Duke University Medical Center), F. Joseph McClernon (Duke University Medical Center)
• http://research.microsoft.com/pubs/193973/U-Air-KDD-camera-ready.pdf

Headio: Zero-Configured Heading Acquisition for Indoor Mobile Devices †

Through Multimodal Context Sensing

• Zheng Sun (Carnegie Mellon University), Shijia Pan (Carnegie Mellon University), Yu-Chi Su (National Taiwan University), Pei Zhang (Carnegie Mellon University)
• http://users.ece.cmu.edu/~zhengs/MySite/attachments/ubi1115.pdf

Crowd++: Unsupervised Speaker Count with Smartphones †

• Chenren Xu (Rutgers University), Sugang Li (Rutgers University), Gang Liu (UT Dallas), Yanyong Zhang (Rutgers University), Emiliano Miluzzo (AT&T Labs Research), Yih-Farn Chen (AT&T Labs Research), Jun Li (Rutgers University), Bernhard Firner (Rutgers University)
• http://www.winlab.rutgers.edu/~lendlice/paper/Xu-Crowd++-UbiComp13.pdf

Sensing Group Proximity Dynamics of Firefighting Teams using Smartphones †

• Sebastian Feese (ETH Zurich), Bert Arnrich (ETH Zurich), Michael Burtscher (University of Zurich), Bertolt Meyer (University of Zurich), Klaus Jonas (University of Zurich)

  #ref(): File not found: "iswc2013_camready.pdf" at page "Class/2014Semi"

COPDTrainer: A Smartphone-based Motion Rehabilitation Training System with Real-Time Acoustic Feedback †

Gabriele Spina (Eindhoven University of Technology), Guannan Huang (Eindhoven -University of Technology), Anouk Vaes (Centre for Integrated Rehabilitation of Organ failure (CIRO)), Martijn Spruit (Centre for Integrated Rehabilitation of Organ failure (CIRO)), Oliver Amft (Eindhoven University of Technology)

• http://www.actlab.ele.tue.nl/sites/actlab.ele.tue.nl/files/Publications/Spina2013_P-Ubicomp.pdf

文献調査候補群4Percom2013 †

• http://www.percom.org/2013/?q=program

Providing Privacy-Aware Incentives for Mobile Sensing †

• Qinghua Li (Pennsylvania State University, USA); Guohong Cao (The Pennsylvania State University, USA)
• http://mcn.cse.psu.edu/paper/qinghua/percom-qinghua13.pdf

METIS: Exploring mobile phone sensing offloading for efficiently supporting social sensing applications †

• Kiran K. Rachuri (University of Cambridge, United Kingdom); Christos Efstratiou (University of Cambridge, United Kingdom); Ilias Leontiadis (University of Cambridge, United Kingdom); Cecilia Mascolo (University of Cambridge, United Kingdom); Peter Rentfrow (University of Cambridge, United Kingdom)
• http://www.cl.cam.ac.uk/~cm542/papers/percom2013.pdf