Advanced Topics in Mobile Communications (AToMIC) 2018: Difference between revisions

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* 24 January 2019
* 24 January 2019
**'''Deep Learning Based Human Activity Recognition'''
**'''Deep Learning Based Human Activity Recognition'''
***Liangying Peng, Ling Chen, Zhenan Ye and Yi Zhang, [https://dl.acm.org/citation.cfm?id=3214277 AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors], ubicomp 2018.  ('''Presented by Yachao Shao''')  
***Liangying Peng, Ling Chen, Zhenan Ye and Yi Zhang, [https://dl.acm.org/citation.cfm?id=3214277 AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors], ACM UbiComp 2018.  ('''Presented by Yachao Shao''')  
***Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu su and Tarek Abdelzaher, [https://dl.acm.org/citation.cfm?id=3264954 SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework], ubicomp 2018.  ('''Presented by Tasnia Ashrafi Heya''')  
***Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu su and Tarek Abdelzaher, [https://dl.acm.org/citation.cfm?id=3264954 SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework], ACM UbiComp 2018.  ('''Presented by Tasnia Ashrafi Heya''')  
***Abhinav Mehrotra and Mirco Musolesi, [https://dl.acm.org/citation.cfm?id=3264937 Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States], ubicomp 2018.  ('''Presented by Shichang Ding''')  
***Abhinav Mehrotra and Mirco Musolesi, [https://dl.acm.org/citation.cfm?id=3264937 Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States], ACM UbiComp 2018.  ('''Presented by Shichang Ding''')  





Revision as of 12:26, 21 November 2018

Details

Workload/ECTS Credits: 5 ECTS
Module: M.Inf.223: Seminar Telematik III -or- M.Inf.224: Seminar Computernetzewerke II (old Regulations) -or- 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
Lecturer: Prof. Xiaoming Fu; Dr. Yali Yuan
Teaching assistant: []
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ [1]


Course Overview

The purpose of this seminar is to discuss some advanced topics in wireless and mobile communication and networking. This course is a theory-oriented research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:

  • Weekly Presentation + Weekly Paper Reading and Discussion
  • Final Presentation
  • Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

Requirements

  • Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
    • Summary of the paper
    • Pros AND cons of the paper (your conclusion)
    • NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [Paper_Review_Form_ATCN_WS201112.doc]
  • During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
  • In the middle of the semester, everyone is requested to pick a topic and prepare:
    • Final report: prepare an essay (8~9 pages, single column) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
    • Final presentation: each presentation for ~20 minutes, plus ~10 minutes Q&A

Presentation Schedule

TBD

Schedule

  • 18 October 2018
    • Informational Meeting











  • 22 December 2018 & 06 January 2019[Holiday]
    • No Lecture, Paper pre-reading by students



  • 11 January 2019~ 31 January 2019
    • Final presentation and report preparation

Final Presentations & Report

  • Topics:
    • Wireless Content Caching
    • Dynamic Adaptive Streaming over HTTP or HTTP/2
    • Deep Learning Based Human Activity Recognition
    • Tracking and localization


  • Final Presentation:
    • Each for ~20 minutes, plus ~10 minutes Q&A




  • Final Report:
    • Essay (8~9 pages, single column)
    • Due by TBD