Ultra-Wideband Communication and Sensor Fusion Platform for the Purpose of Multi-Perspective Localization.

Localization is a keystone for a robot to work within its environment and with other robots. There have been many methods used to solve this problem. This paper deals with the use of beacon-based localization to answer the research question: Can ultra-wideband technology be used to effectively localize a robot with sensor fusion? This paper has developed an innovative solution for creating a sensor fusion platform that uses ultra-wideband communication as a localization method to allow an environment to be perceived and inspected in three dimensions from multiple perspectives simultaneously.

Work Readiness of Newly Licensed RNs.

Objective: The aim of this study was to examine the work readiness of newly licensed RNs (NLRNs) based on demographics, education, and work experiences.

Background: Work readiness is the extent to which new graduates possess qualities and competencies associated with workplace success. Work readiness of NLRNs complements their clinical knowledge and skills and has been shown to predict job satisfaction and work engagement.

Graphene FET Sensors for Alzheimer's Disease Protein Biomarker Clusterin Detection.

We report on the fabrication and characterisation of graphene field-effect transistor (GFET) biosensors for the detection of Clusterin, a prominent protein biomarker of Alzheimer's disease (AD). The GFET sensors were fabricated on Si/SiO substrate using photolithographic patterning and metal lift-off techniques with evaporated chromium and sputtered gold contacts. Raman Spectroscopy was performed on the devices to determine the quality of the graphene.

Scan Pattern Characterization of Velodyne VLP-16 Lidar Sensor for UAS Laser Scanning.

Many lightweight lidar sensors employed for UAS lidar mapping feature a fan-style laser emitter-detector configuration which results in a non-uniform pattern of laser pulse returns. As the role of UAS lidar mapping grows in both research and industry, it is imperative to understand the behavior of the fan-style lidar sensor to ensure proper mission planning. This study introduces sensor modeling software for scanning simulation and analytical equations developed in-house to characterize the non-uniform return density (i.

Design of a Small Unmanned Aircraft System for Bridge Inspections.

Bridge inspections are an important procedure for maintaining the infrastructure vital to our economy and well-being. The current methodology of utilizing specialized equipment such as snooper trucks and scaffolding to support manned-inspections poses a significant financial cost, disrupts traffic, and is dangerous to the inspectors and public. The advent of unmanned aerial systems (UAS), more commonly called drones, presents a practical solution that promises reduced cost, enhanced safety, and is significantly less intrusive than previous methodologies.