Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Yongkeun Lee"'
Publikováno v:
IEEE Access, Vol 12, Pp 130253-130263 (2024)
Deep learning-based object detection technology often relies on non-maximum suppression (NMS) algorithms to eliminate redundant detections. However, the conventional NMS algorithm struggles with distinguishing between overlapping and small objects du
Externí odkaz:
https://doaj.org/article/9adccd45c25840e7a86a2c4d97ba25ef
Autor:
Seul Ki Hong, Yongkeun Lee
Publikováno v:
IEEE Access, Vol 12, Pp 77475-77485 (2024)
This paper presents a comprehensive study on fault identification in Hall sensors within Brushless Direct Current (BLDC) motor drives using neural networks. Detecting these faults is critical for optimizing motor performance, enhancing energy efficie
Externí odkaz:
https://doaj.org/article/34f1e27b6e394d32bde7f63b6e8d0f7d
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 23, Iss 4, Pp 310-317 (2023)
In this paper, a patch antenna with compact, flexible, and transparent properties is presented to support Wi-Fi 6E (2.4 GHz/6 GHz) applications. This antenna design was formulated based on a transparent metal mesh film (MMF), for which the average op
Externí odkaz:
https://doaj.org/article/948fc978c3f44149af6e235224729aa7
Publikováno v:
IEEE Access, Vol 11, Pp 58359-58366 (2023)
Designing molecules that have desired properties is one of the challenging tasks of drug design. Among the many molecular generative models, a generative adversarial network (GAN), is able to generate molecule structures with desirable chemical prope
Externí odkaz:
https://doaj.org/article/1d28b2679eed4e0e99cfe6e1708c5077
Publikováno v:
PeerJ Materials Science, Vol 5, p e28 (2023)
In this study, demagnetization heat treatment at 100 ∼400 °C is studied by using computer simulation to secure the optimal demagnetization heat treatment conditions for waste neodymium iron boron (NdFeB) permanent magnets. From the computer simula
Externí odkaz:
https://doaj.org/article/0b06a435c9924ac8b1782048bfbf515e
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11796 (2021)
Power semiconductor devices in the power converters used for motor drives are susceptible to wear-out and failure, especially when operated in harsh environments. Therefore, detection of degradation of power devices is crucial for ensuring the reliab
Externí odkaz:
https://doaj.org/article/2b9364e51b5945e884ccfb049208a860
Publikováno v:
Machines, Vol 9, Iss 12, p 359 (2021)
In this paper, a sensorless position detection method of a two-phase switched reluctance motor (SRM) at standstill is proposed based on the voltage pulse injection method. Due to the torque dead zone and the lack of starting capability in the two-pha
Externí odkaz:
https://doaj.org/article/e63805c809dc46ce8628c46b983f5058
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7929 (2021)
Diagnosis of skin diseases by human experts is a laborious task prone to subjective judgment. Aided by computer technology and machine learning, it is possible to improve the efficiency and robustness of skin disease classification. Deep transfer lea
Externí odkaz:
https://doaj.org/article/4f0b0cab539141beaf5e53937bb45ebd
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6380 (2021)
Recently, digital pathology is an essential application for clinical practice and medical research. Due to the lack of large annotated datasets, the deep transfer learning technique is often used to classify histopathology images. A softmax classifie
Externí odkaz:
https://doaj.org/article/a59e758b19ef48d4a458843e9e0abbf8
Publikováno v:
Journal of Electromagnetic Engineering & Science; Jul2023, Vol. 23 Issue 4, p310-317, 8p