Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Heetae Jin"'
Publikováno v:
IEEE Access, Vol 11, Pp 78867-78878 (2023)
This paper proposes a two-dimensional resource allocation technique for vehicle-to-infrastructure (V2I) communications. Vehicular communications requires high data rates, low latency, and reliability simultaneously. The 3rd generation partnership pro
Externí odkaz:
https://doaj.org/article/fe3212066a4a4818ae78a5c08962dbea
Publikováno v:
IEEE Access, Vol 10, Pp 133196-133205 (2022)
Among various index modulation technology, adaptive orthogonal frequency division multiplexing with index modulation (A-OFDM-IM) improves reliability by solving the problem of deep fading. However, the maximal likelihood (ML) detector of A-OFDM-IM ha
Externí odkaz:
https://doaj.org/article/ead78d6bb7ac47ba8a7f96c76c0cacd0
Publikováno v:
Sensors, Vol 20, Iss 2, p 414 (2020)
When an ultrasonic sensor generates an ultrasonic wave and detects an obstacle from a reflected wave, a signal transmitted by other ultrasonic sensors would be interference. In this paper, to overcome the interference, a transducer transmits a signal
Externí odkaz:
https://doaj.org/article/e9b9981c852c4ab5859d4faa8509dabf
Publikováno v:
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Publikováno v:
IET Communications. 14:3578-3584
In this study, the authors propose robust automatic modulation classifiers using convolutional neural networks (CNNs). CNNs can identify features directly from a received signal when appropriately trained. They trained the classifier by taking the ma
Publikováno v:
APCC
Advanced Driver Assistance System (ADAS) detects the road conditions using sensor such as ultrasonic sensor. In this paper, obstacle detection function of ultrasonic sensor is simulated in interference environment for ADAS. Using DQPSK modulation, ID
Autor:
Suk Kim, Heetae Jin
Publikováno v:
ICTC
We designed and simulated a deep learning model to find the pseudo code length of a direct sequence spread spectrum signal. We decompose the received complex sequence into real and imaginary parts and input them into the deep learning model. We const
Publikováno v:
ICAIIC
In this paper, we propose a classification method of periodontal disease based on CNN. The data to used were the actual periodontal images and non-periodontal images. Data processing techniques such as resize, crop and zero-centralizing are used to i
Autor:
Suk Kim, Heetae Jin
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 42:2279-2281
Autor:
Heetae Jin, Suk Kim
Publikováno v:
ICTC
A new detection algorithm for direct sequence spread spectrum (DSSS) signals using peak-to-average power ratio (PAPR) is proposed. The received signals are divided into several blocks. Then we calculate peak-to-average power ratio of each block and w