Contactless Triboelectric Sensing for Real‐Time 3D Motion Recognition in Human‐Computer Interaction
In the era of artificial intelligence and Internet of Things, there is an increasing demand for intuitive and efficient human‐computer interaction (HCI) technologies. This study presents a contactless triboelectric detector‐based HCI system for classifying 3D motion patterns with 99.33% accuracy.
Qinghao Xu+9 more
wiley +1 more source
Study to investigate and evaluate means of optimizing the Ku-band combined radar/communication functions for the space shuttle [PDF]
The performance of the space shuttle orbiter's Ku-Band integrated radar and communications equipment is analyzed for the radar mode of operation. The block diagram of the rendezvous radar subsystem is described. Power budgets for passive target detection
Alem, W., Udalov, S., Weber, C. L.
core +4 more sources
3D Directional Coupler for Impulse UWB: 3D Electromagnetic Simulation and Prototyping [PDF]
The AWS Group developed a UWB radar and UWB transceiver for indoor people location and tracking. A radar concept has been developed. This paper will describe step by step the realization of a UWB directional coupler with a novel 3-D architecture.
Klepal, Martin+2 more
core +1 more source
Toward Complete CO2 Electroconversion: Status, Challenges, and Perspectives
Electrocatalytic CO2 reduction and CO2 batteries face challenges in achieving complete CO2 conversion with high conversion rates and Faradaic efficiency simultaneously. Existing systems compromise one for the other with incomplete CO2 conversion and inefficiencies, hindering practical applications. This perspective highlights state‐of‐the‐art progress,
Changfan Xu+5 more
wiley +1 more source
Cognitive Radars: A Reality? [PDF]
This paper describes some key ideas and applications of cognitive radars, highlighting the limits and the path forward. Cognitive radars are systems based on the perception-action cycle of cognition that sense the environment, learn from it relevant information about the target and the background, then adapt the radar sensor to optimally satisfy the ...
arxiv
An introduction to radar Automatic Target Recognition (ATR) technology in ground-based radar systems [PDF]
This paper presents a brief examination of Automatic Target Recognition (ATR) technology within ground-based radar systems. It offers a lucid comprehension of the ATR concept, delves into its historical milestones, and categorizes ATR methods according to different scattering regions.
arxiv
This review highlights advanced methods for detecting and managing over‐humidification in polymer electrolyte fuel cells (PEFCs), emphasizing innovative sensors, simulation techniques, and imaging methods. By addressing the impact of water management on fuel‐cell performance and durability, this study outlines practical and sustainable solutions for ...
Maximilian Käfer+2 more
wiley +1 more source
Multi-Radar Bias Estimation Without a Priori Association
A solution for multi-radar bias estimation without a priori association is provided for a decentralized multi-radar tracking system. We describe the systematic bias of radar with random finite sets by a pseudo-measurement of bias, which is derived at the
Tao Zhang+4 more
doaj +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source
Cognitive Dynamic Systems: A Technical Review of Cognitive Radar [PDF]
We start with the history of cognitive radar, where origins of the PAC, Fuster research on cognition and principals of cognition are provided. Fuster describes five cognitive functions: perception, memory, attention, language, and intelligence. We describe the Perception-Action Cyclec as it applies to cognitive radar, and then discuss long-term memory,
arxiv