Zobrazeno 1 - 10
of 531
pro vyhledávání: '"Cheng-Jian Lin"'
Publikováno v:
IEEE Access, Vol 12, Pp 71797-71807 (2024)
Successful production of metallic selective laser melting components requires a quality assurance process that can effectively and nondestructively assess internal defects. Ultrasound testing has emerged as a valuable modality for defect identificati
Externí odkaz:
https://doaj.org/article/74a1ab98d4ba45288ac71566f794f9ce
Publikováno v:
IEEE Access, Vol 12, Pp 72766-72776 (2024)
Deep learning technology has extensive application in the classification and recognition of medical images. However, several challenges persist in such application, such as the need for acquiring large-scale labeled data, configuring network paramete
Externí odkaz:
https://doaj.org/article/eace4d6f58454f129cd2ace19003c18a
Publikováno v:
IEEE Access, Vol 11, Pp 121314-121324 (2023)
The successful production of metallic workpieces through selective laser melting requires a quality assurance process that can effectively and nondestructively assess internal defects. Ultrasound testing is a nondestructive testing modality that can
Externí odkaz:
https://doaj.org/article/cadc5c51cc53439da10ca5cdaf598420
Publikováno v:
IEEE Access, Vol 11, Pp 107917-107929 (2023)
In this study, we proposed a type 2 fuzzy neural controller (FNC) based on Bayesian dynamic group particle swarm optimization (BDGPSO) for the navigation control of Ackermann steering vehicles. The type 2 FNC has a five-layer network architecture. Th
Externí odkaz:
https://doaj.org/article/91d9d655ecf54c5faf644f8fe9dc7bac
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10442 (2023)
Current methods for sleep stage detection rely on sensors to collect physiological data. These methods are inaccurate and take up considerable medical resources. Thus, in this study, we propose a Taguchi-based multiscale convolutional compensatory fu
Externí odkaz:
https://doaj.org/article/490a01ceddcb4c948b7738c8f14cd095
Autor:
Cheng-Jian Lin, Jyun-Yu Jhang
Publikováno v:
IEEE Access, Vol 10, Pp 14120-14133 (2022)
With the rapid pace of urbanization, the number of vehicles traveling between cities has increased significantly. Consequently, many traffic-related problems have emerged, such as traffic jams and excessive numbers and types of vehicles. To solve tra
Externí odkaz:
https://doaj.org/article/ee64053b25a34422a0111625b7c3f58d
Publikováno v:
Sensors, Vol 23, Iss 9, p 4558 (2023)
With the advancement of science and technology, the development and application of unmanned mobile vehicles (UMVs) have emerged as topics of crucial concern in the global industry. The development goals and directions of UMVs vary according to their
Externí odkaz:
https://doaj.org/article/720029b98ad74cc0af90a5bae64d90ac
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3337 (2023)
The spindle of a machine tool plays a key role in machining because the wear of a spindle might result in inaccurate production and decreased productivity. To understand the condition of a machine tool, a vector-based convolutional fuzzy neural netwo
Externí odkaz:
https://doaj.org/article/428e0647e80f4cd4ab2f9e76f3a0d916
Publikováno v:
IEEE Access, Vol 8, Pp 122626-122640 (2020)
The precision of part machining is influenced by the tool life. Tools gradually wear out during the cutting process, which reduces the machining accuracy. Many studies have used machining parameters and sensor signals to predict flank wear; however,
Externí odkaz:
https://doaj.org/article/7efc8be85a544e9b9a891b75b0b4d95b
Publikováno v:
IEEE Access, Vol 8, Pp 195721-195732 (2020)
Ceramic grinding processing technology continues to advance rapidly. Recent studies are increasingly adopting ultrasonic-assisted grinding (UAG) for obtaining improved surface quality and reduced surface roughness. Because different grinding paramete
Externí odkaz:
https://doaj.org/article/90e0c780d01d486faa052424459794d2