Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Alex Gong"'
Autor:
Samara Gallagher, Kartik Josyula, Rahul, Uwe Kruger, Alex Gong, Agnes Song, Emily Eschelbach, David Crawford, Tam Pham, Robert Sweet, Conner Parsey, Jack Norfleet, Suvranu De
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Skin tissue is recognized to exhibit rate-dependent mechanical behavior under various loading conditions. Here, we report that the full-thickness burn human skin exhibits rate-independent behavior under uniaxial tensile loading conditions. M
Externí odkaz:
https://doaj.org/article/dfe9d25cb9554aad8d8ae58143901d1a
Autor:
Samara Gallagher, Uwe Kruger, Kartik Josyula, Rahul, Alex Gong, Agnes Song, Robert Sweet, Basiel Makled, Conner Parsey, Jack Norfleet, Suvranu De
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Porcine skin is considered a de facto surrogate for human skin. However, this study shows that the mechanical characteristics of full thickness burned human skin are different from those of porcine skin. The study relies on five mechanical p
Externí odkaz:
https://doaj.org/article/24edb487c49a42619a2c08bf5872646f
Publikováno v:
Sensors, Vol 22, Iss 18, p 7072 (2022)
Vehicle fault detection and diagnosis (VFDD) along with predictive maintenance (PdM) are indispensable for early diagnosis in order to prevent severe accidents due to mechanical malfunction in urban environments. This paper proposes an early voicepri
Externí odkaz:
https://doaj.org/article/cbdd6126491e400ea5e5c000428ce58c
Publikováno v:
Micromachines, Vol 13, Iss 9, p 1380 (2022)
The necessity of vehicle fault detection and diagnosis (VFDD) is one of the main goals and demands of the Internet of Vehicles (IoV) in autonomous applications. This paper integrates various machine learning algorithms, which are applied to the failu
Externí odkaz:
https://doaj.org/article/da0d48b2bfd44506bb5e572843c4426d
Publikováno v:
IEEE Access, Vol 7, Pp 115192-115199 (2019)
In this work, an estimation algorithm based on the compressive sensing (CS) technique is proposed for an orthogonal frequency division multiplexing (OFDM) system applied to multi-path time-varying channels. A fitting polynomial is used to approximate
Externí odkaz:
https://doaj.org/article/abb05cb07f8644269faaa2b117b4e14a
Autor:
Cihun-Siyong Alex Gong, Chih-Hui Simon Su, Kuo-Wei Chao, Yi-Chu Chao, Chin-Kai Su, Wei-Hang Chiu
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0259140 (2021)
The research describes the recognition and classification of the acoustic characteristics of amphibians using deep learning of deep neural network (DNN) and long short-term memory (LSTM) for biological applications. First, original data is collected
Externí odkaz:
https://doaj.org/article/4bc330aa9ee84b33b8fe5fdeaf6f68af
Publikováno v:
IEEE Access, Vol 6, Pp 49979-49989 (2018)
A 13.56-MHz active rectifier with a dynamically controllable common-gate comparator for wirelessly powered supplied implantable medical devices is presented in this paper. The proposed active rectifier is composed of two comparator-controlled PMOS an
Externí odkaz:
https://doaj.org/article/1c5a6c1e7dca4a09ade81ed0facc0416
Autor:
Feng-Shuo Hsu, Zi-Jun Su, Yamin Kao, Sen-Wei Tsai, Ying-Chao Lin, Po-Hsun Tu, Cihun-Siyong Alex Gong, Chien-Chang Chen
Publikováno v:
Entropy
Volume 25
Issue 2
Pages: 336
Volume 25
Issue 2
Pages: 336
Fusing object detection techniques and stochastic variational inference, we proposed a new scheme for lightweight neural network models, which could simultaneously reduce model sizes and raise the inference speed. This technique was then applied in f
Autor:
Po-Hsiang Tsui, Anca Cristea, Cihun-Siyong Alex Gong, Zhuhuang Zhou, Yu-Wei Tsai, Yu-Ching Lin, Dar-In Tai, Ya-Chun Tang
Publikováno v:
Ultrasound in Medicine & Biology. 47:84-94
Acoustic structure quantification (ASQ) based on the analysis of ultrasound backscattered statistics has been reported to detect liver fibrosis without significant hepatic steatosis. This study proposed using ultrasound parametric imaging based on th
Publikováno v:
IEEE Sensors Journal. 20:15163-15176
This research presents the implementation of machine learning (ML) for fault classification and diagnosis on vehicle power transmission system (VPTS). Machine learning method can be used to classify their independent diagnostic components for each fa