Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Ming-Hwa Sheu"'
Autor:
Ming-Hwa Sheu, S. M. Salahuddin Morsalin, Chung-Chian Hsu, Shin-Chi Lai, Szu-Hong Wang, Chuan-Yu Chang
Publikováno v:
IEEE Access, Vol 11, Pp 28045-28059 (2023)
The modeling of human body kye-points is the most significant aspect of pose estimation appropriately. Computer vision algorithm identifies human pose, body-movement, and action in many ways. Most of the previous works taken advantage for finding acc
Externí odkaz:
https://doaj.org/article/fc559ec3892e48d1bfe45f74d05a46fc
Autor:
Shin-Chi Lai, Ying-Hsiu Hung, Yi-Chang Zhu, Szu-Ting Wang, Qi-Xian Huang, Ming-Hwa Sheu, Wen-Ho Juang
Publikováno v:
IEEE Access, Vol 10, Pp 79681-79688 (2022)
This study presents a compact $L$ -points discrete cosine transform (DCT) hardware accelerator for $M$ -points Mel-scale Frequency Cepstral Coefficients (MFCC). The main contributions of this work can be summarized as 1) proposing an algorithm with l
Externí odkaz:
https://doaj.org/article/6d7bc9eb0a9743da9a63b4926aae3b96
Publikováno v:
IEEE Access, Vol 10, Pp 98104-98116 (2022)
This study proposes two denoising autoencoder models with discrete cosine transform and discrete wavelet transform, to remove electrode motion artifacts in noisy electrocardiography. Initially, the discrete cosine transform and discrete wavelet trans
Externí odkaz:
https://doaj.org/article/147e388f9cd84341a68f13ae37bb1472
Autor:
Ming-Hwa Sheu, S. M. Salahuddin Morsalin, Szu-Hong Wang, Lin-Keng Wei, Shih-Chang Hsia, Chuan-Yu Chang
Publikováno v:
IEEE Access, Vol 10, Pp 18596-18607 (2022)
The same class of objects clustering process in a frame is known as semantic segmentation. The deep convolutional neural network-based semantic segmentation needs large-scale computations and annotations for data training to reach real-time inference
Externí odkaz:
https://doaj.org/article/d0c69855a8744cce98788ba84f5e3176
Publikováno v:
IEEE Access, Vol 10, Pp 57555-57564 (2022)
For long-term electrocardiogram (ECG) signal monitoring, a portable and small size acquisition device with Bluetooth low energy (BLE) communication is designed and integrated with a Nvidia Jetson Xavier NX for realizing the electrode motion artifact
Externí odkaz:
https://doaj.org/article/ed376052a46843e98c2b8e2b0e3aa667
Autor:
Ming-Hwa Sheu, S. M. Salahuddin Morsalin, Szu-Hong Wang, Yu-Teng Shen, Shih-Chang Hsia, Chuan-Yu Chang
Publikováno v:
IEEE Access, Vol 10, Pp 71764-71776 (2022)
The dehazing algorithms are based on the hazy simulation equation to remove haze and restore the input image feature maps by estimating the intensity coefficient of the atmospheric light source and the scattering coefficient of the atmosphere. Howeve
Externí odkaz:
https://doaj.org/article/0bf0e1401ce049f78bc9c120601b137c
Publikováno v:
IEEE Access, Vol 8, Pp 141025-141032 (2020)
For smart lighting system, this paper presents a high-power (60V/1A) single-chip driver for LED dimming using TSMC high-voltage process. The main circuit included analog circuit, power driver and digital control circuit with mixing-mode design method
Externí odkaz:
https://doaj.org/article/5f0fcd2de027436e898dde10d3ec7e30
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 6957 (2022)
This paper presents a channel-wise average pooling and one dimension pixel-shuffle architecture for a denoising autoencoder (CPDAE) design that can be applied to efficiently remove electrode motion (EM) artifacts in an electrocardiogram (ECG) signal.
Externí odkaz:
https://doaj.org/article/2e083c99e5aa41bdad7a0ad1cc67d5e0
Autor:
Ming-Hwa Sheu, S. M. Salahuddin Morsalin, Jia-Xiang Zheng, Shih-Chang Hsia, Cheng-Jian Lin, Chuan-Yu Chang
Publikováno v:
Sensors, Vol 21, Iss 21, p 7399 (2021)
The aim of this paper is to distinguish the vehicle detection and count the class number in each classification from the inputs. We proposed the use of Fuzzy Guided Scale Choice (FGSC)-based SSD deep neural network architecture for vehicle detection
Externí odkaz:
https://doaj.org/article/ecbaca4a0aa54a0cabbbf4ddcbf7b907
Autor:
Ming-Hwa Sheu, Chang-Ming Tsai, Ming-Yan Tsai, Shih-Chang Hsia, S. M. Salahuddin Morsalin, Jin-Fa Lin
Publikováno v:
Sensors, Vol 21, Iss 19, p 6591 (2021)
An innovative and stable PNN based 10-transistor (10T) static random-access memory (SRAM) architecture has been designed for low-power bit-cell operation and sub-threshold voltage applications. The proposed design belongs to the following features: (
Externí odkaz:
https://doaj.org/article/224b45f9a21f47cba7c6b8aacfa84dd9