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decades of deployment, thetechnology involved in all aspects of test and control will change substantially. Thestakes are high; in modern warfare, there are no second shots.Use case 3 - Manufacturing Page 13.672.4High-tech manufacturing is invariably capital intensive. Nowhere is this more evidentthan for integrated circuit fabrication. A state-of-the-art semiconductor plant costs about$4 B. It contains more than a thousand tools that run continuously but it still takesseveral weeks for a silicon wafer to go through its complete fabrication cycle. Althoughthere are dozens of different tool types that perform functions as varied as ionimplantation
applications. Page 13.25.32. Computer Controlled Test System for MEMS Resonator Gas SensorsThe test system we have developed employs LabView as the software platform for interfacing,communication, control and data acquisition between a personal computer and the measurementsetup via the GPIB bus, USB and serial ports. Figure 3 gives a schematic representation of thetest system. Figure 3. Schematic diagram of the test system for MEMS Gas Sensor characterization Co mpute r running MEMR Qua rtz c rysta l Mo nito r La b Vie
AC 2008-1869: EVALUATION OF A PREASURE SENSOR FOR A TSUNAMIWARNING SYSTEMCarlin Shaodong Song, USNASvetlana Avramov-Zamurovic, U.S. Department of Defense Page 13.579.1© American Society for Engineering Education, 2008 EVALUATION OF A PREASURE SENSOR FOR A TSUNAMI WARNING SYSTEMINTRODUCTION The goal of this project is to develop a low-cost tsunami warning system for use inimpoverished regions where tsunamis pose a threat. This paper details the designprocess of a pressure sensor used for tsunami detection. We begin by first consideringthe desired sensor parameter and range of depth in which the experiment will beconducted. The signal conditioning circuit is incorporated
AC 2008-283: EXPERIMENTS AND RESEARCH ACTIVITIES IN AMICROCONTROLLER LABORATORYRafic Bachnak, Texas A&M International University Dr. Bachnak is Professor of Systems Engineering at Texas A&M International University. He received his B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from Ohio University in 1983, 1984, and 1989, respectively. Prior to joining TAMIU in 2007, Dr. Bachnak was on the faculty of Texas A&M-Corpus Christi, Northwestern State University, and Franklin University. His experience includes several fellowships with NASA and the US Navy Laboratories and summer employment with Koch Industries. Dr. Bachnak is a registered Professional
AC 2008-1898: THE ULTIMATE CAP STONE COURSE: A LABORATORY BASEDPROBLEM SOLVING DESIGN PROJECTJohn Marshall, University of Southern Maine JOHN MARSHALL’s specialization is Industrial Power and Automation, focusing on active/intelligent materials and advanced control systems. Grants have enabled him to design and equip a state-of-the-art power and control problem solving learning environment. Page 13.1276.1© American Society for Engineering Education, 2008 The Ultimate Capstone Course: A Laboratory Based Problem Solving Design ProjectIntroductionThe purpose of this paper is to provide
architecturesthat are suited to such low-bandwidth scenarios is the Batched version of the MIT iLabArchitecture 1, 2, 3, 4, 5. The iLab Batched architecture is referred to as “iLab-B” in this paper todistinguish it from the iLab Interactive architecture. The iLab-B architecture separates thevarious parts of a VL in such a way that only a very small amount of data needed to configurethe remote system under test needs to go through the low-bandwidth uplink, while all other datalab-related activities are done locally. As a result, the MIT iLab-B architecture was an idealplatform upon which to base the development of a new Operational Amplifier virtual laboratory(“OpAmp Lab”) hosted at Obafemi Awolowo University, Nigeria.II. Architecture OverviewOpAmp Lab
and no two Page 13.594.2samples are identically configured. Î F i g u r e 1 u a l r i g i d b o d y s a m p l e a n d i s o r r e s p o n d i n g s o l i d b o d y m o d e l A c t t cThe students begin by using analytical methods to determine Ixx, Iyy, and Izz about the mass centerof the sample. This requires first estimating the
AC 2008-1852: OBJECT CLASSIFICATION USING ROBOTIC MANIPULATORINSTRUMENTED WITH SENSORSNicholas Dadds, USNASvetlana Avramov-Zamurovic, U.S. Department of Defense Page 13.938.1© American Society for Engineering Education, 2008 Object Classification through Tactile Sensing Nicholas A. Dadds and Dr. Svetlana Avramov-Zamurovic United States Naval Academy Department of Weapons & Systems Engineering The goal of this project is to classify objects based on their individual characteristics.This project will span over two semesters in
AC 2008-1386: ENHANCING LABORATORY EXPERIENCE TO STUDENTS BYINTRODUCING USB CONNECTIVITY INTO LAB ENVIRONMENT USING FTDIGurinder Singh, Future Technology Devices International Ltd. (USA) Lakshmi Munukutla received her Ph.D. degree in Solid State Physics from Ohio University, Athens, Ohio and M.Sc and B.Sc degrees from Andhra University, India. She has been active in research and published several journal articles. She is the Chair of the Electronic Systems Department at Arizona State University at the Polytechnic campus.Lakshmi Munukutla, Arizona State University Gurinder Singh brings almost a decade of experience in the electronics industry to his position as Senior Field Applications Engineer
AC 2008-522: WIND TUNNEL EVALUATION AND CALIBRATION OF MODELROCKET NOSECONE PITOT-STATIC PROBESDale Litwhiler, Pennsylvania State University-Berks Dale H. Litwhiler is an Assistant Professor at Penn State Berks-Lehigh Valley College in Reading, PA. He received his B.S. from Penn State University (1984), his M.S. from Syracuse University (1989) and his Ph.D. from Lehigh University (2000) all in electrical engineering. Prior to beginning his academic career in 2002, he worked with IBM Federal Systems and Lockheed Martin Commercial Space Systems as a hardware and software design engineer. Page