Zobrazeno 1 - 10
of 10
pro vyhledávání: '"S. M. Salahuddin Morsalin"'
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:
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
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
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
Autor:
Jia-Xiang Zheng, S. M. Salahuddin Morsalin, Ming-Hwa Sheu, Chuan-Yu Chang, Cheng-Jian Lin, Shih-Chang Hsia
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7399, p 7399 (2021)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7399, p 7399 (2021)
Sensors
Volume 21
Issue 21
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
Publikováno v:
ICCE-TW
In this paper, a smart electronic scale system is proposed for weighing application, including software and hardware integrated design. In the hardware architecture, the smart electronic scale combines weight sensor, touch display, label printer, and
Autor:
Ming-Hwa Sheu, Chi-Chia Sun, Yao-Fong Huang, Yu-Syuan Jhang, Shin-Chi Lai, S. M. Salahuddin Morsalin
Publikováno v:
Electronics, Vol 10, Iss 1864, p 1864 (2021)
Electronics
Volume 10
Issue 15
Electronics
Volume 10
Issue 15
The discriminative object tracking system for unmanned aerial vehicles (UAVs) is widely used in numerous applications. While an ample amount of research has been carried out in this domain, implementing a low computational cost algorithm on a UAV onb
Autor:
Shin-Chi Lai, S M Salahuddin Morsalin
Publikováno v:
2020 Indo – Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN).
Electroencephalography (EEG) signals are recorded for knowing the electrical activity of the brain from the scalp, and the recorded waveform provides acquits into the dynamic aspects of brain activity. This study incorporates the circuit design and d
Autor:
Ming-Hwa Sheu, Jin-Fa Lin, Shih-Chang Hsia, Ya-Hsin Hsueh, S. M. Salahuddin Morsalin, Chang-Ming Tsai, Cheng-Jie Yang, Chuan-Yu Chang
Publikováno v:
Electronics, Vol 10, Iss 685, p 685 (2021)
Electronics
Volume 10
Issue 6
Electronics
Volume 10
Issue 6
To incur the memory interface and faster access of static RAM for near-threshold operation, a stable local bit-line static random-access memory (SRAM) architecture has been proposed along with the low-voltage pre-charged and negative local bit-line (