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pro vyhledávání: '"Jaebong Lim"'
Autor:
Jaebong Lim, Yunju Baek
Publikováno v:
IEEE Access, Vol 11, Pp 100540-100553 (2023)
Spoken keyword spotting, which is characterized by simplicity and low latency, has been widely used in consumer electronics to facilitate always-on voice interfaces. Small-footprint keyword spotting based on tiny convolutional neural networks can be
Externí odkaz:
https://doaj.org/article/b45c1752e39a4b74a952717ea34f9b51
Publikováno v:
IEEE Access, Vol 10, Pp 132095-132107 (2022)
Driver identification systems that use deep-neural-network-based sequential models have been studied for personalized intelligent vehicles. After a vehicle starts moving for a trip, the system identifies the driver at each time step using accumulated
Externí odkaz:
https://doaj.org/article/7d111d7293dc46fcb1150f9d71554e24
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 46:2280-2290
Autor:
Jaebong Lim, Yunju Baek
Publikováno v:
2022 IEEE International Conference on Consumer Electronics (ICCE).
Autor:
Yunju Baek, Jaebong Lim
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 44:1588-1596
Publikováno v:
ITNAC
In recent years, the demand for IoT cameras has increased due to the high demand for image data. However, the image sensor is unsuitable as an energy-constrained edge device for IoT due to its high-power consumption. Therefore, periodic on–off sche
Publikováno v:
MobiSys
Publikováno v:
ITNAC
Exchange of image information is one of the main features of a camera network. In order to exchange a large amount of information, a platform with good communication speed is needed. In this study, we designed and implemented a specialized camera net