You might think elite organizational performance comes from talent, discipline, or luck. In reality, consistent excellence is often the output of a well-designed system. Instead of focusing only on ...
Abstract: In this research endeavor, the primary objective is to craft a dynamic nonlinear model for the Magnetic Levitation System. The proposed approach involves the development of both nonlinear ...
Abstract: The stability and reliability of power systems are essential for effective operation and design. Models and algorithms are instrumental in bolstering stability, especially using Power System ...
Abstract: Frequency scanning (F-SCAN) synthetic aperture radar (SAR) offers unique advantages over digital beamforming (DBF) SAR for high-performance imaging. However, F-SCAN SAR introduces several ...
Abstract: Fully actuated system (FAS) approach was proposed in 2020 and 2021 as a general framework for control system analysis and design based on a newly discovered general type of fully actuated ...
Abstract: In this letter, we propose a novel spherical stochastic geometry (SG)-based analytical framework for characterizing the system-level performance of Long-Range (LoRa)-based low Earth orbit ...
Abstract: Autonomous racing has emerged as a promising field of research, attracting growing interest. In racing, vehicles operate at the limits of perception, planning, and control, raising unique ...
Abstract: In our daily lives, emotions are extremely important. However, predicting and regulating emotion is still a critical problem to be solved in the research of the human-computer interaction ...
Abstract: Orthogonal time frequency space (OTFS) modulation is a promising technology for ensuring reliable communication in high-mobility scenarios. This paper focuses on analyzing the channel ...
Abstract: As the semiconductor industry struggles to keep Moore's law alive and integrate more functionality on a chip, multi-chiplet chips offer a lower cost alternative to large monolithic chips due ...
Abstract: The purpose of this work is to design a Driver Monitoring System (DMS) that combines the head pose estimation and behavior analysis for driver's safety. By leveraging deep learning ...