Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Tong Duan"'
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 1029-1041 (2024)
Low Earth orbit (LEO) satellite networks, such as SpaceX's Starlink, offer enhanced communication potential for contemporary power grid measurement and control. Yet, the dynamic nature of these networks complicates their modeling and simulation. This
Externí odkaz:
https://doaj.org/article/0b263e71940c4f5f9a46a2d745a16e26
Autor:
Tong Duan, Venkata Dinavahi
Publikováno v:
Electronics Letters, Vol 59, Iss 11, Pp n/a-n/a (2023)
Abstract In power system simulation, the mathematical solution methods are typically regarded as pure numerical operations, which are independent of the circuit principles. In this letter, it is demonstrated that the computational procedures in the c
Externí odkaz:
https://doaj.org/article/af2a041297404fd9a85897c0bf14de61
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4603 (2023)
The design of transmitting waveforms is an effective way to improve the detection performance of sonar systems. For the problem of high-range sidelobe when designing reverberation-resistant waveforms, this paper proposes a high-resolution wideband co
Externí odkaz:
https://doaj.org/article/b63bb8f07abe4ff9bc2830e4bc02a93b
Publikováno v:
物联网学报, Vol 5, Pp 37-45 (2021)
Smart grid is a power-communication coupled cyber-physical power system (CPPS), where the two-domain coupling features make the real-time simulation difficult.Different from the existing software-based co-simulation methods, a FPGA-Jetson based real-
Externí odkaz:
https://doaj.org/article/49442630f969444aa600884b2a321854
Autor:
Xiao-Liang Xing, Yan Liu, Jiheng Liu, Huanfa Zhou, Huirong Zhang, Qi Zuo, Ping Bu, Tong Duan, Yan Zhou, Zhiquan Xiao
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
BackgroundAlmost 40% of patients with kidney renal clear cell carcinoma (KIRC) with advanced cancers eventually develop to metastases, and their 5-year survival rates are approximately 10%. Aberrant DNA methylations are significantly associated with
Externí odkaz:
https://doaj.org/article/b7c2c87926264fa7bea1d98a1965ced5
Autor:
Tong Duan, Venkata Dinavahi
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 2, Pp 194-203 (2021)
The linking-domain extraction (LDE) decomposition method is a new non-overlapping domain decomposition method for parallel circuit simulation. However, the original LDE method is inefficient in both the computational procedure and storage cost. In th
Externí odkaz:
https://doaj.org/article/ddc678505b2144f79d2974e33c2e079d
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 1, Pp 261-270 (2020)
The information, and communication technologies (ICTs) are increasingly merging with the conventional power systems. For the design, and development of modern AC/DC grids with integrated renewable energy sources, the system-level control schemes with
Externí odkaz:
https://doaj.org/article/d377129d42754385869af218758f947d
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 7, Pp 296-306 (2020)
Parallel-in-time methods are emerging to accelerate the solution of time-consuming problems in different research fields. However, the complexity of power system component models brings challenges to realize the parallel-in-time power system electrom
Externí odkaz:
https://doaj.org/article/4db27c816987441db5f15ef9c21258ce
Publikováno v:
Entropy, Vol 24, Iss 12, p 1707 (2022)
Transmitting waveform design and signal processing method optimization are effective ways to improve a sonar system’s detection performance. In this study, the spectrum and ambiguity function characteristics of pulse trains of frequency modulation
Externí odkaz:
https://doaj.org/article/7b69f775a6e54c19a79e5a75d9949410
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 12, p 1820 (2022)
Deep learning is a core technology for sonar image classification. However, owing to the cost of sampling, a lack of data for sonar image classification impedes the training and deployment of classifiers. Classic deep learning models such as AlexNet,
Externí odkaz:
https://doaj.org/article/505039c635e54bc3987f771409d2e528