Network Research Laboratory
@ Institute of Information Science, Academia Sinica

AirBox - Air quality of our breath

posted Nov 30, 2017, 10:48 PM by Rita Lai

Dr. Chen was interviewed by Next TV to introduce AirBox to public in our life.
Below is the news link of this interview:

Dr. Chen was interviewed by INSIDE about his AirBox project

posted Oct 31, 2017, 8:00 AM by Ling-Jyh Chen   [ updated Oct 31, 2017, 8:02 AM ]

Dr. Chen was interviewed by INSIDE after his TEDxTaipei talk on 2017/10/15, and the interview covered the development of the AirBox project, as well as Dr. Chen's future plan about this project.


https://www.inside.com.tw/2017/10/31/ted-taipei-airbox-civic-tech

Paper accepted to IEEE IoT Journal

posted Oct 14, 2017, 7:02 PM by Ling-Jyh Chen   [ updated Oct 14, 2017, 7:02 PM ]

Congratulation! Our work on "ADF: an Anomaly Detection Framework for Large-scale PM2.5 Sensing Systems" has been accepted to IEEE Internet of Things Journal, which is the most prestigious journal in the field of Internet of Things research. In fact, the results of this work has been integrated in several real-time data service of current AirBox system, such as g0v Realtime Air Pollution Map and AirBox status report.

Hsinchu city joined airbox project!

posted Sep 29, 2017, 9:06 PM by Rita Lai

Hsinchu city has joined airbox project in September 2017. Thanks for Edimax Inc. collaborated with us that let all students in junior high school and elementary school know more about our air quality. Below are news links to this event:

AirBox Dataset

posted Aug 29, 2017, 9:04 AM by Ling-Jyh Chen   [ updated Aug 29, 2017, 9:04 AM ]

We are happy to make this announcement and release the AirBox dataset for the period between 2017/01/01 and 2017/03/31. The dataset contains the measurement data (including timestamp, GPS coordinates, temperature, humidity and PM1/2.5/10) from all Edimax AirBox devices in Taiwan in the period. We hope the release of this dataset can facilitate data analysis and tool development of the AirBox project. For more detail about the AirBox dataset, please check out the webpage at https://sites.google.com/site/cclljj/dataset-airbox

Paper accepted to IEEE Access journal

posted Jul 25, 2017, 6:49 PM by Ling-Jyh Chen   [ updated Jul 25, 2017, 6:49 PM ]

The paper entitled "An Open Framework for Participatory PM2.5 Monitoring in Smart Cities" has been accepted to IEEE Access journal. This paper present the results of our recent work about the AirBox project, including the hardware, software, database, visualization, and many technical insight. 

This work is a collaboration results of many people, and it could not be possible without help from many people including IIS-NRL members, LASS community, and many. Thank to everyone who has made contributions to this work!

Paper URL: http://dx.doi.org/10.1109/ACCESS.2017.2723919

Next generation AirBox spec recommendation released

posted May 15, 2017, 7:30 PM by Ling-Jyh Chen

After a fruitful discussion on 5/12 with people from the industry, academia, and community, we have come out some conclusions for the development of the next generation AirBox development/deployment. Attached is the spec recommendation of the next generation AirBox, and please contact to LJ (cclljj@gmail.com) if you have any further questions/suggestions.

Paper accepted to IEEE Smart World Congress

posted May 13, 2017, 8:24 AM by Ling-Jyh Chen   [ updated May 13, 2017, 8:24 AM ]

Congratulate to Sachit! His recent work on "An Empirical Study of PM2.5 Forecasting Using Neural Network" has been accepted to the 2017 IEEE Smart World Congress, which will be held in San Francisco in August, 2017.

The AirBox project is featured by China Times

posted May 11, 2017, 6:33 PM by Ling-Jyh Chen   [ updated May 11, 2017, 6:34 PM ]

Thank China Times for reporting our recent work on participatory PM2.5 monitoring system on 2017/5/12. The full report is available on http://www.chinatimes.com/newspapers/20170512000488-260107

Two paper accepted to IEEE iThings'17

posted Apr 30, 2017, 12:40 AM by Ling-Jyh Chen   [ updated Apr 30, 2017, 1:04 AM ]

Two of our recent works have been accepted to IEEE iThings'17 conference, which will be held in Exeter, UK in June 2017. The title of the two works are 
  1. "A System Calibration Model for Mobile PM2.5 Sensing Using Low-Cost Sensors": a simple yet effective approach to calibration low-cost PM2.5 sensors against winds caused by mobility and ambient environment; and
  2. "Pokeball: a 3D positioning system using magnetism": a single-source and 3D indoor positioning system using magnetism
Congratulation to Hao-Min, Hsuan-Cho, Hu-Chen, and Wei-Tung!

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