Design of an Automated Experimentation and Data Processing Software Suite for the ADiR Sensor
A Major Qualifying Project Submitted to the faculty of Worcester Polytechnic Institute Worcester, Massachusetts, USA In partial fulfilment of the requirements for the Degree of Bachelor of Science on this day of October 13th, 2007 by _____________________________________ Ryan Hollister _____________________________________ Rachelle Horwitz _____________________________________
Mandela Kiran
Abstract
Analog Devices, Inc., Limerick, Ireland, has developed an infrared sensor for noncontact thermometry applications. We developed a suite of software that automated and expedited testing and data processing procedures for four experiments conducted on the sensor. For the pressure and qualification experiments, we reduced the human-machine interaction time by 92% and 90%, respectively. The experimentation software we created for the angular response and lens focusing experiments enabled engineers to conduct experiments that had previously been impracticable.
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Acknowledgements
We would first like to thank Analog Devices Inc., Limerick, for providing us with a unique opportunity to work with an upcoming technology. We would like to extend our heartfelt gratitude toward John Reidy for coordinating the project and for helping us settle in the company. We would also like to thank Brendan Cawley and Eamon Culhane for sharing their knowledge of the detectors and for continuously providing us with detectors to work with and the resources necessary to evaluate them for analysis and implementation. Lastly, we would also like to extend our thanks to Claire Leahy for her support in the software development process. We would further like to thank Luke Pillans from the Newbury, UK, office for his dedication to the project and his interest in our learning and our project outcomes. Without his knowledge in infrared, we would not have been able to automate the experimentation software to obtain more repeatable data from which ADI can draw accurate conclusions. Furthermore, through sharing his own work, he was able to guide us toward a better understanding of the detector characteristics so that we could come up with a more intuitive software package. We would next like to thank our advisors Professor Rick Vaz and Professor Rick Brown for their continuous advice and assistance through the entire duration of this project. They provided valuable assistance in setting up the goals for our project and in determining the best way to organize and display the abundance of data obtained. Finally, we would like to thank Charlotte Tuohy, the local coordinator for the WPI Limerick Project Center, for providing us with the necessary information to make our stay in Ireland comfortable.
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design of an automated experimentation and data processing
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