Appscope: Application energy metering framework for android smartphone using kernel activity monitoring C Yoon, D Kim, W Jung, C Kang, H Cha USENIX Annual Technical Conference, 2012 | 441 | 2012 |
Piggyback crowdsensing (pcs) energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities ND Lane, Y Chon, L Zhou, Y Zhang, F Li, D Kim, G Ding, F Zhao, H Cha Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems …, 2013 | 223 | 2013 |
DevScope: a nonintrusive and online power analysis tool for smartphone hardware components W Jung, C Kang, C Yoon, D Kim, H Cha Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware …, 2012 | 172 | 2012 |
Sensing WiFi packets in the air: Practicality and implications in urban mobility monitoring Y Chon, S Kim, S Lee, D Kim, Y Kim, H Cha Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014 | 71 | 2014 |
Runtime power estimation of mobile AMOLED displays D Kim, W Jung, H Cha 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 61-64, 2013 | 33 | 2013 |
Content-centric display energy management for mobile devices D Kim, N Jung, H Cha Proceedings of the 51st Annual Design Automation Conference, 1-6, 2014 | 29 | 2014 |
Reducing energy consumption of alarm-induced wake-ups on android smartphones S Park, D Kim, H Cha Proceedings of the 16th International Workshop on Mobile Computing Systems …, 2015 | 27 | 2015 |
Music Emotion Recognition via End-to-End Multimodal Neural Networks. B Jeon, C Kim, A Kim, D Kim, J Park, JW Ha RecSys Posters, 11, 2017 | 18 | 2017 |
Content-centric energy management of mobile displays D Kim, N Jung, Y Chon, H Cha IEEE Transactions on Mobile Computing 15 (8), 1925-1938, 2015 | 18 | 2015 |
Accurate prediction of available battery time for mobile applications D Kim, Y Chon, W Jung, Y Kim, H Cha ACM Transactions on Embedded Computing Systems (TECS) 15 (3), 1-17, 2016 | 15 | 2016 |
Predicting high-risk prognosis from diagnostic histories of adult disease patients via deep recurrent neural networks JW Ha, A Kim, D Kim, J Kim, JW Kim, JJ Park, B Ryu 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 13 | 2017 |
Enhancing WiFi-fingerprinting accuracy using RSS calibration in dual-band environments T Choi, Y Chon, Y Kim, D Kim, H Cha Pervasive and Mobile Computing 30, 45-57, 2016 | 11 | 2016 |
Powerlet: An active battery interface for smartphones W Jung, Y Chon, D Kim, H Cha Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014 | 11 | 2014 |
Music Highlight Extraction via Convolutional Recurrent Attention Networks JW Ha, A Kim, D Kim, C Kim, J Park Machine Learning for Music Discovery Workshop at International Conference on …, 2017 | | 2017 |
Observing thermal characteristics of energy-aware mobile devices W Jung, D Kim, H Cha 2012 IEEE International Conference on Embedded and Real-Time Computing …, 2012 | | 2012 |