Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Gangyi Hu"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 5, p 725 (2024)
Intelligent underwater vehicles hover by way of a hovering control system. To provide design inputs and maneuver guidance, this study focused on the characteristics of intelligent underwater vehicles during hovering control with the propulsion system
Externí odkaz:
https://doaj.org/article/3a49bc4f25b945ddad4a1fe523c082d6
Autor:
Ruchika Dhawan, Prabuddha Madusanka, Gangyi Hu, Jeff Debord, Toan Tran, Kenneth Maggio, Hal Edwards, Mark Lee
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Thermoelectric generators with a small size are unable to produce enough high voltage and power levels to run Si integrated circuits using commonly encountered temperature differences. Here, the authors present microelectronic thermoelectric generato
Externí odkaz:
https://doaj.org/article/1be26a3179df45e691e5ed19076d789f
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 12, p 1834 (2022)
In this paper, a novel analytical approach for the buckling of ring-stiffened porous graphene platelet-reinforced composite cylindrical shells under hydrostatic pressure is proposed under the framework of symplectic mechanics. Three types of graphene
Externí odkaz:
https://doaj.org/article/b471a08c59f949649072c315f2037069
Publikováno v:
Sensors, Vol 22, Iss 4, p 1540 (2022)
Pressure vessels are prone to defects due to environmental conditions, which may cause serious safety hazards to industrial production. The probabilistic ellipse imaging method, based on ultrasonic guided wave, is a common method for locating defects
Externí odkaz:
https://doaj.org/article/e675164b93a64d87ba15b393bbc5d49a
Autor:
Gangyi Hu, Sumeth Yuenyong
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 40, Iss 3, Pp 522-533 (2018)
This paper presents an edge constraint adaptive filtering algorithm based on cellular neural networks for image denoising. In the process of designing the three templates separately in cellular neural networks, the control template references the a
Externí odkaz:
https://doaj.org/article/685894c7f88d4459812300185adb79e5
Autor:
Clint Naquin, Yongda Cai, Gangyi Hu, Mark Lee, Yun Chiu, Hal Edwards, Guru Mathur, Tathagata Chatterjee, Ken Maggio
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 5, Iss 3, Pp 224-231 (2017)
This paper reports on the use of a single quantum well (QW) silicon NMOS transistor to generate a folded current-voltage transfer function that enables frequency doubling and tripling. The QW NMOS device is fabricated entirely on an industrially stan
Externí odkaz:
https://doaj.org/article/c2cfd06bbd71442086ace04c3dcf19ee
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 12, Iss 2 (2019)
It proposes a pseudo-random number generation algorithm based on cellular neural networks. This method uses the hyper-chaos characteristics of the cellular neural networks and sets the appropriate parameters to generate the pseudo-random number. The
Externí odkaz:
https://doaj.org/article/d9dde3feebb24caabc32aeb237b18e51
Publikováno v:
Energies, Vol 10, Iss 12, p 2068 (2017)
With the rapid development of renewable energy generation, single-phase grid-connected inverters have been widely applied in modern power systems. Since the power output of the renewable sources is continuously changing, independent active/reactive p
Externí odkaz:
https://doaj.org/article/c05d457a09a14f9395a6b5de01d49248
Publikováno v:
IEEE Electrification Magazine. 9:10-22
DC-DC CONVERTERS ARE SOLID-STATE DC "transformers" that convert one type of dc electricity into another via power electronic circuits. They have been used in a broad range of applications, from IT devices (such as a power supply to provide different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5162d3e47d93e2ddfb701033725d25d3
https://doi.org/10.1109/mele.2021.3070934
https://doi.org/10.1109/mele.2021.3070934
Publikováno v:
IEEE Transactions on Electron Devices. 68:2434-2439
Microelectronic thermoelectric (TE) generators ( $\mu $ TEGs), which are one potential solution to powering energy autonomous integrated circuits (ICs), are often performance limited because of parasitic electrical and thermal resistances in the $\mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06b6e4848444803b1652191ded75d44e
https://doi.org/10.1109/ted.2021.3067624
https://doi.org/10.1109/ted.2021.3067624