Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jangryul Kim"'
Publikováno v:
IEEE Access, Vol 11, Pp 54869-54880 (2023)
As deep learning applications are getting popular in embedded systems, how to support deep learning applications in the model-based embedded software design methodology becomes a challenging problem. A previous solution is to represent each deep lear
Externí odkaz:
https://doaj.org/article/60b3eb2af71549589f13b879617b3e1d
Autor:
Jangryul Kim, Sukjae Jeong
Publikováno v:
선진국방연구, Vol 5, Iss 2 (2022)
The purpose of this study is to numerically derive the combat effect of intangible combat power on the battlefield and to confirm the importance of the components of intangible combat power on the derived combat effect. Nearly half of defense spendin
Externí odkaz:
https://doaj.org/article/c4fe26f0d7cf49408d61f75a2bf8596e
Publikováno v:
IEEE Access, Vol 9, Pp 20493-20507 (2021)
Parallel scheduling of multiple real-time applications onto heterogeneous processors is needed in the emerging embedded systems such as self-driving cars, smart cameras, and smartphones. Assuming that an embedded application is specified as a synchro
Externí odkaz:
https://doaj.org/article/a7f976950cc243fd8ba600563ff6d38f
Autor:
Jangryul Kim, Soonhoi Ha
Publikováno v:
IEEE Transactions on Computers. 72:1666-1680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b6f3621fb83d300cc04687c99c187c9
https://doi.org/10.1109/tc.2022.3218991
https://doi.org/10.1109/tc.2022.3218991
Publikováno v:
Journal of KIISE. 49:669-676
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4833708f91e4b49885dad07e3e579ad
https://doi.org/10.5626/jok.2022.49.9.669
https://doi.org/10.5626/jok.2022.49.9.669
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-26
As deep learning inference applications are increasing in embedded devices, an embedded device tends to equip neural processing units (NPUs) in addition to a multi-core CPU and a GPU. NVIDIA Jetson AGX Xavier is an example. For fast and efficient dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5390c2741f0a14caea51ba5837cb7c34
https://doi.org/10.1145/3508391
https://doi.org/10.1145/3508391
Publikováno v:
IEEE Embedded Systems Letters. 14:15-18
As deep learning inference applications are increasing, an embedded device tends to equip neural processing units (NPUs) in addition to a CPU and a GPU. For fast and efficient development of deep learning applications, TensorRT is provided as the SDK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79cf8b1cadad4e828419ceb27df18b98
https://doi.org/10.1109/les.2021.3087707
https://doi.org/10.1109/les.2021.3087707
Publikováno v:
KIISE Transactions on Computing Practices. 27:497-501
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db4127cbff9af3da4f2667becb5a3be3
https://doi.org/10.5626/ktcp.2021.27.10.497
https://doi.org/10.5626/ktcp.2021.27.10.497
Publikováno v:
Design Automation for Embedded Systems. 25:265-295
IoT systems can be regarded as distributed systems that are composed of heterogeneous smart devices with different performances and functionalities. Many IoT applications with various resources and real-time requirements will run concurrently in an I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b2d30eaee4eadcb4cb330bb9a1efa7
https://doi.org/10.1007/s10617-021-09253-x
https://doi.org/10.1007/s10617-021-09253-x
Publikováno v:
Low-Power Computer Vision ISBN: 9781003162810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42457bb0b6d515f4d15a2b501a5166e6
https://doi.org/10.1201/9781003162810-9
https://doi.org/10.1201/9781003162810-9
