Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sung Hwan Won"'
On the Identification and Generation of Discrete-Time Chaotic Systems with Recurrent Neural Networks
Publikováno v:
Journal of Electrical Engineering & Technology. 14:1699-1706
We address the identification and generation of the discrete-time chaotic system (DTCS) with a two-layered recurrent neural network (RNN). First, we propose an identification procedure of the DTCS in which the RNN is required to have less layers than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80c043fcd016d44613f943bcca3cf551
https://doi.org/10.1007/s42835-019-00103-2
https://doi.org/10.1007/s42835-019-00103-2
Publikováno v:
5G for the Connected World ISBN: 9781119247111
5G for the Connected World
5G for the Connected World
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7208c737b59f19238a1d28fce698b980
https://doi.org/10.1002/9781119247111.ch5
https://doi.org/10.1002/9781119247111.ch5
Publikováno v:
GLOBECOM Workshops
In 3GPP LTE-Advanced Release 11, coordinated multi-point transmission and reception (CoMP) which applies interference coordination between base stations (or eNBs) was introduced to improve cell-edge performance of the network and specified under the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71ddbc7849e88e84ede018e57cb3deef
https://doi.org/10.1109/glocomw.2014.7063535
https://doi.org/10.1109/glocomw.2014.7063535
Publikováno v:
GLOBECOM Workshops
This paper demonstrates if the utilization of short-term channel information, i.e. channel state information (CSI) feedback, is beneficial in the coordination of multiple evolved Node Bs (eNBs) even with the practical non-ideal backhaul. Two CSI feed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f87cf8620d2212633c477ac9828294
https://doi.org/10.1109/glocomw.2014.7063525
https://doi.org/10.1109/glocomw.2014.7063525
Publikováno v:
Solar Energy Materials and Solar Cells. 69:139-145
We studied the deposition of polycrystalline silicon (poly-Si) using SiH4/SiH2Cl2/H2 mixtures by inductively coupled plasma chemical vapor deposition. The deposition rate and crystalline quality were improved by increasing RF power. The poly-Si film
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e73375c8797bfcbb85ddc78c2e8c291
https://doi.org/10.1016/s0927-0248(00)00387-1
https://doi.org/10.1016/s0927-0248(00)00387-1
Publikováno v:
SID Symposium Digest of Technical Papers. 31:356-359
We developed an image sensor of an 83.6 × 53.2 mm2 phototransistor array for direct reading of name card using hydrogenated amorphous silicon (a-Si:H). We adopted microcrystalline Si in the n-i-p-i-n a-Si:H phototransistor and optimized the i and p-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f692af304bf701abcb71561726bd5e2
https://doi.org/10.1889/1.1832956
https://doi.org/10.1889/1.1832956
Publikováno v:
IEEE Electron Device Letters. 25:132-134
We developed a high-performance, hydrogenated amorphous silicon thin-film transistor (a-Si:H TFT) on plastic substrate using an organic gate insulator. The TFT with a silicon-nitride (SiN/sub x/) gate insulator exhibited a field-effect mobility of 0.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef50910fb64bfbad671a0e27c9e33d49
https://doi.org/10.1109/led.2003.817368
https://doi.org/10.1109/led.2003.817368
Publikováno v:
IEEE transactions on neural networks. 21(9)
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in the encoding, identification, and extraction of finite state automata
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::165cdd76d4b0dd84d55da7469d1c112c
https://pubmed.ncbi.nlm.nih.gov/20709639
https://pubmed.ncbi.nlm.nih.gov/20709639
Publikováno v:
Flexible Flat Panel Displays
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9597b91c784e4ac3bcb6bca67a552933
https://doi.org/10.1002/0470870508.ch22
https://doi.org/10.1002/0470870508.ch22
Autor:
Sung Hwan Won1 sunghwanwon@hotmail.com, Iickho Song1,2 i.song@ieee.org, Sun Young Lee1 sylee@Sejong.kaist.ac.kr, Cheol Hoon Park1,3 chpark4u@gmail.com
Publikováno v:
IEEE Transactions on Neural Networks. Sep2010, Vol. 21 Issue 9, p1408-1421. 14p. 5 Diagrams, 5 Charts, 6 Graphs.