Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Hsin-Han Chiang"'
Publikováno v:
IET Image Processing, Vol 17, Iss 13, Pp 3869-3883 (2023)
Abstract Lightweight deep learning models for face recognition are becoming increasingly crucial for deployment on resource‐constrained devices such as embedded systems or mobile devices. This paper presents a highly efficient and compact deep lear
Externí odkaz:
https://doaj.org/article/a08b7e72261e461ba8662a8813ffe709
Publikováno v:
IEEE Access, Vol 10, Pp 117782-117795 (2022)
In this paper, we propose a robotic cognitive system which can learn itself to do a specific assignment by accumulating experiences through bottom-up thinking to make decision by itself via top-down thinking according to the experiences. That is, the
Externí odkaz:
https://doaj.org/article/70502c9d1a524e6f95d3a9ff08ee034d
Publikováno v:
IEEE Access, Vol 10, Pp 24056-24066 (2022)
Grasping strategy of many different kinds of target objects is vital in a wide range of automatic robotic manipulations. Among the many potential applications for a robot arm with a parallel gripper, the key challenge for robotic grasping is to deter
Externí odkaz:
https://doaj.org/article/020d98f6ce2848b494e9190e1f79e6e8
Publikováno v:
IEEE Access, Vol 8, Pp 34080-34095 (2020)
This paper presents an intelligent control strategy for an active MacPherson suspension driven by a pneumatic muscle (PM) actuated system and evaluates its improved control performance on a self-developed test-rig. To fulfill the fully-functional tes
Externí odkaz:
https://doaj.org/article/d62ca292ce9049ad86a17418a48d8ce2
Publikováno v:
Energies, Vol 16, Iss 6, p 2583 (2023)
To effectively provide the handicapped with mobility aids, studies on the shared autonomy of robotic systems have been widely cultivated. This study proposes an adaptive shared control strategy to realize reliable and safe driving assistance on an in
Externí odkaz:
https://doaj.org/article/88763d1873d649e3b63ea754048665cd
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0255422 (2021)
In this study, a network autoregressive model with GARCH effects, denoted by NAR-GARCH, is proposed to depict the return dynamics of stock market indices. A GARCH filter is employed to marginally remove the GARCH effects of each index, and the NAR mo
Externí odkaz:
https://doaj.org/article/6194f0a76dc647c4bb7773293a3f3553
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 9036 (2020)
Linear motors (LMs) are widely used in numerous industry automation where precise and fast motions are required to convert electric energy into linear actuation without the need of any switching mechanism. This study aims to develop a control strateg
Externí odkaz:
https://doaj.org/article/41b1c581c58448e48153f08b77346b4f
Publikováno v:
Sensors, Vol 20, Iss 21, p 6114 (2020)
Despite considerable progress in face recognition technology in recent years, deep learning (DL) and convolutional neural networks (CNN) have revealed commendable recognition effects with the advent of artificial intelligence and big data. FaceNet wa
Externí odkaz:
https://doaj.org/article/0bbfba3fa55b42f3853912ec68654616
Publikováno v:
Applied Sciences, Vol 10, Iss 10, p 3526 (2020)
This paper focuses on developing a pneumatic-driven and horizontal-structure linear delta robot (PH-LDR) and increasing its trajectory tracking performance on the three-degrees-of-freedom (3-DOF) space. With the investigation of inverse and forward k
Externí odkaz:
https://doaj.org/article/1950611c40164f3a8ed1a3ce67595152
Publikováno v:
Sensors, Vol 19, Iss 6, p 1459 (2019)
A vision-based three degree-of-freedom translational parallel manipulator (TPM) was developed. The developed TPM has the following characteristics. First, the TPM is driven by three rodless pneumatic actuators and is designed as a horizontal structur
Externí odkaz:
https://doaj.org/article/9648d88d472a49b1be8ff2c1c8a7ff2d