Dongwon Kim
Cited by
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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
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
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
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
Content-centric display energy management for mobile devices
D Kim, N Jung, H Cha
2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 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
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
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
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
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
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
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
Music Emotion Recognition via End-to-End Multimodal Neural Networks.
B Jeon, C Kim, A Kim, D Kim, J Park, JW Ha
RecSys Posters, 2017
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
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
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