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Publikováno v:
IEEE Access, Vol 12, Pp 93781-93790 (2024)
Unmanned surface vehicles (USVs) often encounter unknown obstacles, adverse weather, and emergency situations during missions, especially external disturbances such as wind, waves, and ocean currents at sea, which pose challenges for operators to res
Externí odkaz:
https://doaj.org/article/6e7d4b610ae34ce2933ca540bbfc2463
Autor:
Reza Zendegani, Saeed Safari
Publikováno v:
IEEE Access, Vol 12, Pp 94135-94151 (2024)
Multiplication is a necessary arithmetic operation in signal processing and machine learning algorithms. This paper proposes a novel method called Approximate Multiplier with Configurable Accuracy Levels (AMCAL) to obtain energy and area savings. The
Externí odkaz:
https://doaj.org/article/b9449f33353e467a8f9faebd01d68d67
Publikováno v:
IEEE Access, Vol 12, Pp 94035-94054 (2024)
In this paper, a three-phase diode-clamped four-level PWM inverter with offset voltage injection is proposed. The proposed inverter is based on multi-neighboring reference vector (discontinuous) pulse-width modulation (MNRV (D)PWM), where multiple ad
Externí odkaz:
https://doaj.org/article/c39c9b1c54af4e3c89e6aa05bb862ddb
Publikováno v:
IEEE Access, Vol 12, Pp 93771-93780 (2024)
Polytropic working conditions are prioritized by most intelligent adaptive methods. But the privacy and the inaccessibility of the source data during the transfer learning process are not considered. Moreover, the attention weights for each time poin
Externí odkaz:
https://doaj.org/article/2528bcedc8ca450aa56451a492ac8181
Publikováno v:
IEEE Access, Vol 12, Pp 93723-93738 (2024)
The current education landscape is marked by the growing integration of artificial intelligence technologies, which seek to improve interaction and efficiency in educational environments. However, many of these tools operate on separate platforms, co
Externí odkaz:
https://doaj.org/article/705b5f3479574e84b98e3b0f38e0a4b1
Autor:
Abhishek Thakur, P. Rajalakshmi
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 3, Pp 1-11 (2024)
Autonomous navigation has become a topic of immense interest in robotics in recent years. Light detection and ranging (LiDAR) can perceive the environment in 3-D by creating the point cloud data that can be used in constructing a 3-D or high-definiti
Externí odkaz:
https://doaj.org/article/4076bd9a90a449968358041e950da4c8
Publikováno v:
IEEE Access, Vol 12, Pp 93753-93760 (2024)
The Branch and Bound (BB) algorithm, while ensuring optimality, often encounters performance bottlenecks, characterized by slow execution and high computational overhead, especially when dealing with intricate or extensive problem instances (NP-Hard)
Externí odkaz:
https://doaj.org/article/9613fb2a9f2345049bb74614497e0645
Publikováno v:
IEEE Access, Vol 12, Pp 93739-93752 (2024)
To tackle issues like unbalanced currents in stator windings and power pulsations under unbalanced grid voltage conditions, this paper introduces a passive control strategy for the Brushless Doubly-Fed Reluctance Generator (BDFRG). The approach effec
Externí odkaz:
https://doaj.org/article/1f681b182ac84aaaa8e03fc144ba7367
Publikováno v:
IEEE Access, Vol 12, Pp 93761-93770 (2024)
Dialogue State Tracking (DST) models often employ intricate neural network architectures, necessitating substantial training data, and their inference process lacks transparency. This paper proposes a method that extracts linguistic knowledge via an
Externí odkaz:
https://doaj.org/article/db24aafed8a749aeb4ebaef73f81fdad
Autor:
Jorge Yusef Colin-Castillo, Gloria Lilia Osorio-Gordillo, Vicenc Puig, Rodolfo Amalio Vargas-Mendez, Gerardo Vicente Guerrero-Ramirez, Juan Reyes-Reyes, Carlos Manuel Astorga-Zaragoza
Publikováno v:
IEEE Access, Vol 12, Pp 93701-93710 (2024)
This paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded. The proposed observer is used for the design of a senso
Externí odkaz:
https://doaj.org/article/6f67e4f293ab415d8f337c45de6e5e42