Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jongseok Woo"'
Publikováno v:
IEEE Access, Vol 12, Pp 80165-80175 (2024)
This paper presents an efficient deep neural network (DNN) accelerator designed for radio frequency (RF) signal modulation recognition. A novel DNN design optimized for mobile applications is demonstrated by combining MobileNetV3-based DNN with a ter
Externí odkaz:
https://doaj.org/article/122c67c3942d418f8d5cfb427575c3f3
Publikováno v:
IEEE Access, Vol 11, Pp 144051-144063 (2023)
Automatic Modulation Classification (AMC) is a technique used in wireless communication systems to identify the modulation type of received signals at the receiver. Improving spectrum utilization efficiency is essential for AMC and is carried out by
Externí odkaz:
https://doaj.org/article/6444366d82cc435aa42852890acfe393
Security Challenges and Military Politics in East Asia : From State Building to Post-Democratization
Autor:
Jongseok Woo
This comparative work examines the political role played by armed forces in South Korea, Indonesia, the Philippines, and Taiwan. The work brings together theory and empirical study, analyzing how security threats have shaped the military's organizati
Autor:
Jongseok Woo
Publikováno v:
Journal of Military & Strategic Studies; 2024, Vol. 23 Issue 2, p277-303, 27p
Autor:
Jongseok Woo
Publikováno v:
Asian Military Evolutions ISBN: 9781529229349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6413338cebed62b1a76bd3ed17b8f384
https://doi.org/10.2307/jj.1231855.16
https://doi.org/10.2307/jj.1231855.16
Publikováno v:
2022 IEEE/MTT-S International Microwave Symposium - IMS 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06c320d66393e3079dca61666b4c5180
https://doi.org/10.1109/ims37962.2022.9865378
https://doi.org/10.1109/ims37962.2022.9865378
Autor:
Saurabh Dash, Saibal Mukhopadhyay, Nael Mizanur Rahman, Jongseok Woo, Dae Hyun Kim, Yun Long, Mandovi Mukherjee
Publikováno v:
IEEE Solid-State Circuits Letters. 3:450-453
An all-digital flexible precision in-memory accelerator for vector matrix multiplication (VMM) is demonstrated in 65 nm CMOS. The design supports flexible precision, floating point, and complex numbers enabling in-memory radio-frequency machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce76c2e65210c4b8f94759ac942c57d1
https://doi.org/10.1109/lssc.2020.3023703
https://doi.org/10.1109/lssc.2020.3023703
Publikováno v:
2021 IEEE MTT-S International Microwave Symposium (IMS).
This paper presents a design methodology for efficient on-chip acceleration of deep neural network (DNN) for classification of signal modulation in Radio Frequency signals. A low complexity DNN model with ternary weights is developed to reduce comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::873a785530de96d5b49b67863042ca32
https://doi.org/10.1109/ims19712.2021.9574932
https://doi.org/10.1109/ims19712.2021.9574932
Autor:
Jongseok Woo
Publikováno v:
Journal of Asian Security and International Affairs. 5:227-244
Since Kim Jong-il officially launched his Songun politics in 1998, conflicting assessments have generated two competing arguments regarding the political role of the Korean People’s Army (KPA). The military garrison state argument suggests that Son
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3fab239e57afbe27c31154ae32ec37b
https://doi.org/10.1177/2347797018798262
https://doi.org/10.1177/2347797018798262
Autor:
Jongseok Woo, Eunjung Choi
Publikováno v:
Korea Observer - Institute of Korean Studies. 49:493-515
Whether Confucianism is compatible with liberal democracy has been a topic of heated debate among scholars and politicians alike, but with little meticulous empirical analysis. The incompatibility thesis, represented by the Asian value argument, sugg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d29c3fecc6904f3360e4116c56f4aaf0
https://doi.org/10.29152/koiks.2018.49.3.493
https://doi.org/10.29152/koiks.2018.49.3.493