Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Soonyong Song"'
Autor:
Soonyong Song, Heechul Bae
Publikováno v:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC).
Autor:
Soonyong Song1 (AUTHOR) soony@etri.re.kr, Donghun Lee1 (AUTHOR) donghun@etri.re.kr, Ingook Jang1 (AUTHOR) ingook@etri.re.kr, Jinchul Choi1 (AUTHOR) spiders22v@etri.re.kr, Youngsung Son1 (AUTHOR) ysson@etri.re.kr
Publikováno v:
Sensors (14248220). Apr2018, Vol. 18 Issue 4, p1237. 17p. 5 Diagrams, 2 Charts, 6 Graphs.
Autor:
Qihan Yang, Somesh Kumar, Qiaoyong Zhong, Fan Feng, Liang Ma, Qi She, Siew-Kei Lam, Gabriele Graffieti, German Ignacio Parisi, Yangsheng Xu, Baoquan Chen, Tin Lun Lam, Eoin Brophy, Chuanlin Lan, Vidit Goel, Lin Yang, Qi Liu, Rosa H. M. Chan, Debdoot Sheet, Shiliang Pu, Di Xie, Lorenzo Pellegrini, Hyonyoung Han, Liguang Zhou, Vincenzo Lomonaco, Zhengwei Wang, Soonyong Song, Davide Maltoni, Heechul Bae, Jianwen Wu, Xinyue Hao, Tomas E. Ward, Duvindu Piyasena, Sathursan Kanagarajah, Meiqing Wu, Young-Sung Son
Publikováno v:
IEEE Robotics & Automation Magazine. 27:11-16
Humans have a remarkable ability to learn continuously from th e environment and inner experience. One of the grand goals of robots is to build an artificial "lifelong learning" agent that can shape a cultivated understanding of the world from the cu
Publikováno v:
ICTC
In this paper, we proposed acoustic signal visualization for flying drone classifications and provided performance benchmarks for backbone deep neural networks. To visualize acoustic signals, we transformed the signals to 3-channel images by spectrog
Publikováno v:
ICTC
This paper addresses a continual lifelong learning problem that learns incremental multiple tasks in real-world environments. We overview and summarize representative approaches and categorization of the state-of-the-art in continual learning. Compar
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 4, p 1237 (2018)
Sensors; Volume 18; Issue 4; Pages: 1237
Sensors, Vol 18, Iss 4, p 1237 (2018)
Sensors; Volume 18; Issue 4; Pages: 1237
Energy harvester-integrated wireless devices are attractive for generating semi-permanent power from wasted energy in industrial environments. The energy-harvesting wireless devices may have difficulty in their communication with access points due to
Publikováno v:
ICTC
In this paper, we present a new beacon recognition method for wireless sensor devices to access beacon-enabled WSN with low-power consumption. At first, we explain necessity of the low-power beacon recognition in the beacon-enabled wireless sensor ne
Publikováno v:
ICTC
Abundance of connected devices generate numerous data. Increased computing power of each device would enable themselves to train and generate device knowledge from collected data. In this paper, we propose a novel approach to transfer device knowledg
Publikováno v:
ICTC
In this paper, we will introduce the necessity of real-time safety monitoring system for high-speed railway vehicle and propose a new type of safety monitoring system using a low-power wireless connection. To verify the proposed safety monitoring sys
Publikováno v:
ICTC
In this paper, the performance of an IEEE 802.15.4 based modem designed to monitor the state of underbody parts related to the security of high speed trains is investigated. Based on the intensive field tests, the optimum positions of transmitter and