Author image not provided
 Haengju Lee

Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article0.67
Citation Count2
Publication count3
Publication years2016-2016
Available for download3
Average downloads per article194.33
Downloads (cumulative)583
Downloads (12 Months)385
Downloads (6 Weeks)37
Arrow RightAuthor only

See all colleagues of this author


3 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 3 of 3
Sort by:

1 published by ACM
November 2016 ACM Transactions on Cyber-Physical Systems - Inaugural Issue: Volume 1 Issue 1, February 2017
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 24,   Downloads (12 Months): 217,   Downloads (Overall): 261

Full text available: PDFPDF
Data-driven modeling usually suffers from data sparsity, especially for large-scale modeling for urban phenomena based on single-source urban-infrastructure data under fine-grained spatial-temporal contexts. To address this challenge, we motivate, design, and implement UrbanCPS, a cyber-physical system with heterogeneous model integration, based on extremely-large multi-source infrastructures in the Chinese city Shenzhen, ...
Keywords: Cyber-physical system, model integration

2 published by ACM
August 2016 ACM Transactions on Sensor Networks (TOSN): Volume 12 Issue 3, August 2016
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 13,   Downloads (12 Months): 138,   Downloads (Overall): 251

Full text available: PDFPDF
Carpooling has long held the promise of reducing gas consumption by decreasing mileage to deliver coriders. Although ad hoc carpools already exist in the real world through private arrangements, little research on the topic has been done. In this article, we present the first systematic work to design, implement, and ...
Keywords: application, taxi network, Ridesharing, fare model

3 published by ACM
June 2016 MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 30,   Downloads (Overall): 71

Full text available: PDFPDF
The state-of-the-art navigation frequently fails to provide precise outdoor localization especially in urban areas due to GPS errors. Conventional approaches tracking vehicle positions have used the particle filter algorithm, and we focus on magnetic fingerprint features for increasing performance of the algorithm as landmarks. We investigated the magnetic features in ...
Keywords: particle filter algorithm, automobile localization, magnetic fingerprint

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us