Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Libo, Ma"'
Publikováno v:
Kouqiang yixue, Vol 44, Iss 10, Pp 770-774 (2024)
With advancements in radiology, endoscopic techniques, surgical treatments, cell biology and molecular biology, the understanding of temporomandibular disorders(TMD)has increased. The temporomandibular joint (TMJ) is a complex structure comprising bo
Externí odkaz:
https://doaj.org/article/07c2960f03a74afb9ec0e43569ee5ab2
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 9-10, Pp 1597-1610 (2024)
Abstract To solve the problem of temperature control in proton exchange membrane electrolytic cell (PEMEC), this paper presents a temperature control method based on multi‐experience pool probability playback and Ornstein‐Uhlenbeck noise‐twin d
Externí odkaz:
https://doaj.org/article/2fd7724906a84c87a6c506c5b384544b
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Currently, the application of robotics technology in sports training and competitions is rapidly increasing. Traditional methods mainly rely on image or video data, neglecting the effective utilization of textual information. To address this issue, w
Externí odkaz:
https://doaj.org/article/83c3ab32351e48e8a8b436e06d76d93d
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110216- (2024)
To solve the problem of unbalanced power supply and demand caused by the large-scale integration of intermittent renewable energy sources, this study presents a novel type of power device that integrates hydrogen energy storage. First, the compositio
Externí odkaz:
https://doaj.org/article/e922a4679be045d99bd25c2bc5ff6a5e
Publikováno v:
IET Science, Measurement & Technology, Vol 18, Iss 3, Pp 130-144 (2024)
Abstract This paper proposes a novel evaluation method to address the challenge of evaluating insulation degradation in power transformer windings based on incomplete online Internet of Things (IoT) sensing data. The method leverages the Wasserstein
Externí odkaz:
https://doaj.org/article/5edf15b782444f039430b78644f528dd
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol PP, Iss 99, Pp 1-13 (2024)
To solve the problem of the lack of prediction methods that depend on IoT sensing data for the insulation degradation of power transformer windings, an online transformer winding insulation degradation prediction method based on multi-source IoT sens
Externí odkaz:
https://doaj.org/article/62840ee748954a1a8cc99c9e20066eff
Symmetry‐Induced Selective Excitation of Topological States in Su–Schrieffer–Heeger Waveguide Arrays
Autor:
Min Tang, Jiawei Wang, Sreeramulu Valligatla, Christian N. Saggau, Haiyun Dong, Ehsan Saei Ghareh Naz, Sebastian Klembt, Ching Hua Lee, Ronny Thomale, Jeroen van den Brink, Ion Cosma Fulga, Oliver G. Schmidt, Libo Ma
Publikováno v:
Advanced Photonics Research, Vol 4, Iss 11, Pp n/a-n/a (2023)
The investigation of topological state transition in carefully designed photonic lattices is of high interest for fundamental research, as well as for applied studies such as manipulating light flow in on‐chip photonic systems. Herein, the topologi
Externí odkaz:
https://doaj.org/article/7fe35d816dc443adb473d219fac4ba29
Publikováno v:
IET Science, Measurement & Technology, Vol 16, Iss 8, Pp 441-453 (2022)
Abstract This study is for the case where the available data of power transformer oil–paper insulation is limited to a small amount furfural data, to solve the problems in oil–paper insulation degradation modelling, such as few samples available,
Externí odkaz:
https://doaj.org/article/722a0428583441849324dcd6d4b46aca
Publikováno v:
IEEE Access, Vol 10, Pp 67532-67540 (2022)
Changes in sensor measurement parameters of wind turbine SCADA systems usually do not provide reliable early alarms. To detect early faults or abnormal conditions of wind turbine generator components, a wind turbine generator condition monitoring fra
Externí odkaz:
https://doaj.org/article/2fb5a698806944d39dae111eb71c311d
Autor:
Shaista Andleeb, Xiaoyu Wang, Haiyun Dong, Sreeramulu Valligatla, Christian Niclaas Saggau, Libo Ma, Oliver G. Schmidt, Feng Zhu
Publikováno v:
Nanomaterials, Vol 13, Iss 9, p 1491 (2023)
Over the past years, molybdenum disulfide (MoS2) has been the most extensively studied two-dimensional (2D) semiconductormaterial. With unique electrical and optical properties, 2DMoS2 is considered to be a promising candidate for future nanoscale el
Externí odkaz:
https://doaj.org/article/40805af20c5c414598e4e2e7191b3a56