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This paper describes the design of an automated device to detect air bubbles during a neuroangiography, a medical procedure that takes images of the blood vessels in the brain. In the neuroangiography procedure, a saline solution is injected into the patient through a catheter without the presence of any air bubbles. If an air bubble enters the bloodstream of the patient it may cause an air embolism, therefore, it is crucial that all air bubbles are detected and removed during the surgery. The current process relies on a nurse to constantly monitor the intravenous(IV) line for bubbles and pinch the line manually if a bubble is detected. They must also ensure that the pressure of the saline bag is maintained within a certain range and the saline bag does not become empty. The device discussed in this paper was designed to implement these tasks automatically so the nurse’s work level stress would decrease, and their focus and energy could be directed to the patient’s well-being. Simulation and hardware implementation results of the bubble detection device are presented.

This paper presents a complete design and implementation of the software and hardware system for a Formula Society of Automatic Engineers (FSAE) electric vehicle. This design followed the guidelines published by the FSAE formula hybrid electric vehicle rules. A model view controller based software architecture was developed to interact with all necessary hardware during the steady state and dynamic conditions. The vehicle hardware system includes a main processing unit “main brain,” tractive system control board, dashboard, shutdown circuit, and related safety features. A combination of laboratory tests and field tests were performed to validate the software and hardware system.

This paper presents a multidisciplinary open-ended capstone design project where students designed, built, and test drove a Formula Society of Automatic Engineers (FSAE) electric vehicle. The capstone team included students from computer, electrical, and mechanical engineering programs. Each student worked in on a subteam, namely, mechanical design, drivetrain, supervisory control and data acquisition, and battery management system. A thorough description of each subsystem is provided herein. Software architecture, system integration, and field test results are also reviewed. Team organization, faculty and industry involvement, and assessment of student outcomes are provided. This paper details the approach of building a bridge between academia and engineering practices. This paper also documents a process where undergraduate students research and master multiple technology areas and then apply them to the project’s focus. ABET student outcomes 1–7 were used to design and assess the course. Peer-to-peer rating and ranking are presented as an assessment tool for the multidisciplinary nature of the project.

Control room software communicates with the back-end and front-end software to maintain the appointments and database. Control room hardware consists of motor driver, PLC, power supplies, and sensor interfaces. Control room software controls the PLC operations to move the radio telescope at the appropriate locations using azimuth and elevation motors and receives astronomical data from the SpectraCyber. This paper describes the control room software and hardware development for a radio telescope as well as the laboratory testing of the complete system.

This paper describes the design and implementation of a drivetrain for a Formula Society of Automotive Engineers (FASE) electric vehicle. The specifications used to design the system were provided by SAE in the Formula Hybrid SAE rules. The custom designed central Tractive System Control Board (TSCB) communicates with the Supervisory Control and Data Acquisition (SCADA) system, motor controller, Accumulator Isolation Relays (AIR), and the Battery Management System (BMS) of the vehicle. A detailed description of the TSCB and its integration with the vehicle systems, as well as test-drive results, are presented.