East Carolina University : Research and Creative Achievement Week 2011
NASA Capstone Abstract, Taylor Brown, Jamelle Simmons, Anna Smith, Christian Denard, Department of Technology Systems, East Carolina University, Greenville, NC 27858 Our aim is to design and build a system which will identify the emotional state and display it in a format which can be attended to or ignored. In a high stakes, stressful situation, performance errors can lead to disastrous results. In order to help an operator manage such stress we are designing and building a system which maps emotional state to color and intensity of ambient lighting. The emotional state will be estimated from physiological signals such as heart rate variability. A LabVIEW program will interpret these measures along a positive and negative axis in real time. The estimate of emotional state will control the color and intensity of an LED lighting strip. This display provides unobtrusive and timely information about the operatorâ€&#x;s emotional state, which they may choose to incorporate into their decision making. This will help users make conscious decisions that will improve their overall performance on a variety of tasks such as athletics, aviation, military, and education.
P188
Preventive And Predictive Maintenance Program Design For An Industrial Equipment Fabrication And Repair Facility, Scott Reed, Dao Dinh,Adam Hussaini, Department of Engineering, East Carolina University, Greenville, NC 27858 Carver Machine Works Inc. (CMW) fabricates components and machines parts for a wide range of industries. The diverse needs of these customers require that CMW maintain a large and flexible range of fabrication equipment. To assure the readiness and capability of these assets, a maintenance program was identified as a strategic need. In addressing this need there were two viable maintenance alternatives; preventive and predictive. Preventive maintenance focuses on scheduling periodic routine maintenance procedures to decrease equipment failures, and is often managed by a computerized maintenance management system (CMMS). On the other hand, predictive maintenance is based on monitoring the condition of equipment by analyzing quantitative data from various measurements such as vibration and heat output, and attempts to schedule maintenance only when needed. The program designed for CMW combines these two maintenance approaches, and creates a maintenance system that will possess the flexibility to cover the wide range of equipment types and be expanded to include more equipment as the needs of CMW customers change. The preventive aspect of the design reduces equipment failure while failure history is gathered. The preventive methods build a foundation for the future of CMW as their needs change. The result of the project is a system which cost effectively meets current needs while providing a future direction. The benefits of this project include reduced equipment and production downtime, more efficient inventory management, and increased profits.
P189
P190 Rheological Functionality of Cross-linked Whey Protein Isolate/Pullulan Gels, Jamelle 235