ABSTRACT
GEMS (Girls in Engineering, Math, and Science) is a free STEAM and programming summer camp and after-school robotics club that focuses on educating girls about the fields of STEM. GEMS is divided into two main programs: miniGEMS for rising fifth through eighth middle school students and megaGEMS for rising ninth through twelfth-grade high school students. This paper will provide an overview of a new program within megaGEMS called megaGEMS AEOP (Army Education Outreach Program) for rising eleventh and twelfth-grade high school girls. The camp was initially piloted in the Summer of 2020 during the COVID-19 pandemic as a virtual four-week research camp. For Summer 2021, megaGEMS hosted the inaugural eight-week in-person Apprenticeship Research Camp from June 7-August 6, 2021, for eight rising juniors or seniors. This Apprenticeship Research Camp was held at the Autonomous Vehicle Systems (AVS) Research Laboratories located at the University of the Incarnate Word provided the students with an experiential research camp mentored by both faculty and graduate students in the science of autonomy. The camp was funded through two grants provided by the Army Education Outreach Program. Examples of projects included brain-computer interfacing, virtual reality, and Infrared and LIDAR sensor collection. One apprentice was able to obtain her FAA Part 107 UAS Operator license to collect images using a drone. The camp provided opportunities to expand soft skills, explore college-level research, and community outreach. The apprenticeship curriculum was implemented by undergraduate and graduate students which included: daily Python coding classes, developing quality research skills, improving public speaking, and introducing careers in STEAM. Local female STEM leaders were guest speakers and provided career advice. The program concluded with a research symposium where they presented their research in poster and presentation format. This paper will provide details about recruiting, lessons learned working with students and parents under COVID-19 restrictions and developing research agendas for high school students. © American Society for Engineering Education, 2022.
ABSTRACT
In the context of the new coronavirus epidemic, medical systems throughout the world has suffered tremendous pressure, the most intuitive problem is a shortage of human resources. In this regard, the 'intelligent drug delivery vehicle' puts forward a feasible scheme, which can replace manual work in a specific hospital area to complete the delivery of drugs. The system is based on STM32F103ZET6 core processor, controlling the OpenMV visual module to identify the hospital corridor information, and then through the pressure detection module, gray detection tracking module and angle sensing module information, the core processor controls the motor drive module to make the vehicle move. The system modifies the algorithm under the traditional NCC template matching algorithm, and uses the zoom image to reduce the pixels which improve the camera frame rate and recognition accuracy. At the same time, the Bluetooth communication module is installed to enable different vehicles to execute the drug delivery operations at the same time, therefore reducing manual work saving. © 2022 IEEE.