Abstract: Nivedita Arora: Collecting real-time, granular environmental data is essential for urban health, agriculture, and disaster prevention. However, it must be done sustainably, with minimal ...
Abstract: Measurements of the equivalent parallel conductance of metal-insulator-semiconductor (MIS) capacitors are shown to give more detailed and accurate information about interface states than ...
Abstract: This article introduces a novel method for transmitting video data over noisy wireless channels with high efficiency and controllability. The method derivates from model division multiple ...
Abstract: Motion planning is critical to realize the autonomous operation of mobile robots. As the complexity and randomness of robot application scenarios increase, the planning capability of the ...
Abstract: Power semiconductors are key enablers for highly efficient power conversion to address our global societal challenges. Silicon-based power devices have dominated the field for the past four ...
Abstract: Depending on a large-scale paired dataset of low-resolution hyperspectral image (LrHSI), high-resolution multispectral image (HrMSI), and corresponding high-resolution hyperspectral image ...
Abstract: This study focuses on the design and development of a simplified active power regulation scheme for a two-stage single-phase grid-connected solar-PV (SPV) system with maximum power point ...
Book Abstract: Capacitive sensors produce spectacular resolution of movement to one part in 10-10 meters and maintain exceptional long-term stability in hostile environments. They are increasingly ...
Abstract: With the continuous development of intelligent networks and autonomous driving technologies, heterogeneous traffic flow represented by conventional vehicles (CV), autonomous vehicles (AV), ...
Abstract: This study explores the impact of copper clip design on the thermal performance of driver MOSFET (Dr.MOS) packages with the goal of optimizing heat dissipation efficiency in microelectronic ...
Abstract: Recent advances in sampling-based algorithms have enhanced the ability of mobile robots to navigate safely in environments with localization uncertainty. However, navigating narrow passages ...