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Autor:
Julian Peters, Nathanael Mirbach, Felix Herbst, David Riehl, Mario Kupnik, Klaus Hofmann, Sven Matthiesen
Publikováno v:
IEEE Access, Vol 12, Pp 93975-93992 (2024)
Comprehensive data on machines is essential for digitization in the industry. Since standardized machine elements are used in most machines, integrating them with sensors provides the opportunity to acquire data comprehensively from in-situ. The sens
Externí odkaz:
https://doaj.org/article/f72da1bff40748b39994f5ab0cff6300
Publikováno v:
IEEE Access, Vol 12, Pp 92451-92463 (2024)
Permanent Magnet Synchronous Motors (PMSMs) are used in a variety of industries, including aerospace, industrial control, and electric vehicles (EVs). Extensive research has been dedicated to the control and drive of PMSMs, with field-oriented contro
Externí odkaz:
https://doaj.org/article/b637211dc8c74d808392959fb92d06c6
Autor:
Mahmoud Abouelyazid
Publikováno v:
IEEE Access, Vol 12, Pp 92573-92584 (2024)
The integration of Artificial Intelligence (AI) services within the framework of Software-as-a-Service (SaaS) cloud architecture has significantly permeated our everyday routines. These AI services diverge from traditional applications by offering a
Externí odkaz:
https://doaj.org/article/1e35e43f205b499f894bdf87059326e2
Publikováno v:
IEEE Access, Vol 12, Pp 90606-90628 (2024)
This study presents a comprehensive bibliometric analysis of grid-connected microgrid (MG) scheduling controller techniques. An extensive search was done in the Scopus database using preset parameters to extract articles relating to the MG scheduling
Externí odkaz:
https://doaj.org/article/7ce7ac91babd49068b5a375bbcbe9179
Autor:
Do Hyeon Lee, Seun Guy Min
Publikováno v:
IEEE Access, Vol 12, Pp 88492-88505 (2024)
The open-slot stator topology, which allows for preformed coils and an excellent fill factor, has been regarded as a suitable candidate for low-speed operation such as direct-drive systems. This paper presents a rapid and accurate design optimization
Externí odkaz:
https://doaj.org/article/d8d0634aeef04a898bee04a1a1c1fb91
Publikováno v:
IEEE Access, Vol 12, Pp 86034-86042 (2024)
Convolutional neural networks (CNNs) accelerators have been utilized widely for several digital applications to improve processing efficiency. However, the traditional CNN accelerator processor performance is insufficient to run the digital smart app
Externí odkaz:
https://doaj.org/article/97e8d2fd3f6e403baa312fc04f9a5d44
Autor:
Deafallah Alsadie
Publikováno v:
IEEE Access, Vol 12, Pp 85089-85102 (2024)
Edge Computing (EC) has emerged as a pivotal paradigm, offering solutions to address the challenges posed by latency-sensitive applications and to enhance overall network performance. In EC environments, efficient task offloading is crucial for minim
Externí odkaz:
https://doaj.org/article/bc0bee4255a44d5c920044720ec53927
Publikováno v:
IEEE Access, Vol 12, Pp 85388-85399 (2024)
As renewable energy sources become more prevalent, effective grid balancing becomes crucial due to their inherent uncertainty. Battery Energy Storage Systems (BESS) can enhance grid reliability and efficiency by complementing these variable sources.
Externí odkaz:
https://doaj.org/article/d3f400d2ce3844548c1ccf99b4ee8ea7
Publikováno v:
IEEE Access, Vol 12, Pp 85115-85133 (2024)
Lead free perovskite materials with tandem structures hold the promise of enhanced stability, reduced environmental impact, and increased energy conversion efficiency, paving the way for a greener and more effective future in solar energy. Tandem sol
Externí odkaz:
https://doaj.org/article/22f994e17592434da19757ef86652963
Publikováno v:
IEEE Access, Vol 12, Pp 83299-83322 (2024)
Deep Neural Learning has unequivocally demonstrated its exceptional capabilities, surpassing the performance of various Machine Learning techniques in recent years. Optimizing the parameters, such as weights, in Deep Neural Learning can be a challeng
Externí odkaz:
https://doaj.org/article/cd91f5b2f99d4f0091211cf9a86e34fc