in non-engineering fields; b) Providing students with necessary software and hardware tools such that they can continue their design project beyond laboratory time limits; c) Encouraging students from different disciplines to interact and collaborate towards an innovative design project; d) Promoting student creativity by asking students to utilize their knowledge and talents in solving a real-world problem.In order to successfully achieve the above objectives, we implemented the followingmethodology. First, we introduce students with the basic concepts in sensor technologies.Then, through demonstration and hands-on experiments, students become familiar withavailable hardware and software tools and their
advantage ofworking at room temperature.The literature review shows a fair amount of research done in both metal-dot and molecularcell QCA. An idealized QCA cell is like a box with dots or charge containers at its fourcorners2, and two extra mobile electrons in that confinement can orient themselves in thosedots creating charge configurations in a polarized cell which can be interpreted as a binary“0” and a binary “1”. Thus the binary information of “0” and “1” is stored in the bistablecharge configuration of the cell instead of the on-off states of a current switch since there isno current flowing from cell to cell. The dots or charge containers in the cell can be createdby a) electrostatically formed quantum dots in a semiconductor, or, b) small
AC 2009-1203: A NOVEL INTERDISCIPLINARY SENSOR NETWORKSLABORATORYGary Mullett, Springfield Technical Community College Professor of Electronics Technology and Co-Department Chair, Gary J. Mullett presently teaches in the Electronics Group at Springfield Technical Community College in Springfield, MA. A long time faculty member and consultant to local business and industry, Mullett has provided leadership and initiated numerous curriculum reforms as either the Chair or Co-Department Chair of the four technology degree programs that constitute the Electronics Group. Since the late 1990s, he has been active in the NSF’s ATE and CCLI programs as a knowledge leader in the wireless
AC 2009-824: DESIGNING A CONTINUOUS MONITORING AND TRACKINGSYSTEM BASED ON A WIRELESS SENSOR NETWORKJimmy DiTraglia, Middle Tennessee State UniversityXiaojing Yuan, University of HoustonMequanint Moges, University of Houston Page 14.425.1© American Society for Engineering Education, 2009 Design of a Continuous Monitoring and Tracking System based on Wireless Sensor NetworkAbstractToday the way we work and live has been changed by the deployment of ubiquitous intelligentwireless sensor networks. The infusion of such emergent technology into the current under-graduate lab designs becomes a critical issue in order to prepare and engage our
AC 2009-588: TSUNAMI WARNING SYSTEMSvetlana Avramov-Zamurovic, U.S. Department of DefenseJeremy Joseph, United States Naval Academy Page 14.1283.1© American Society for Engineering Education, 2009 Tsunami Warning SystemAbstract Tsunamis occur rarely on Earth but their impact is devastating. If successful, the projectobjectives provide a substantial first step to minimizing the material destruction and mortalitycaused by this immense force of nature. The goal of this project is to develop a system that candetect an incoming tsunami. The project will also explore possibilities to dampen the impact ofthe tsunami wave.I. Tsunami BackgroundA. Creation
sensors.There are several steps to setting up a network. They are as follows:31. Installation of the utility/application software tools on to a computer.2. Making hardware connection of master node module to the computer via RS232 or USB port.3. Designating and configuring master node also refer to as base station by sending it a sequence of configuration command as follows: a) A command is sent to the node to retrieve its current node ID, electronic serial number (ESN), and the master ID. b) A command is then sent updating the node ID. This ID must be unique within the network. c) Next, a command is sent, using the new node ID, to set the value of several connectivity beacon parameters. These will be passed on to any node
lower than theset-point. Upon completion of this, the students were taught other control algorithm used toprovide proportional control to the feedback circuit4.III. Evaluation and ResultsWe present the data from the pre and post surveys collected for the first training session onLabVIEW basics. Figure 1 The distribution of A. students enrolled in different majors, B. academic levels of the students an C. gender distribution of students attending the LabVIEW basics training session. As expected, the majority of students attending the seminar were biomedical engineeringmajors as seen in Figure 1A. Both the usefulness of LabVIEW for data acquisition from medicalinstrumentation and the direct applicability of LabVIEW to classes within with
. # = 0 - CR = CR, LF = LF, FF = FFFont Selection by ID # (EC ( # X or EC ) # X): Selects a soft font using its specific ID #. EC (# X - Designates soft font as primary. EC ) # X - Designates soft font as secondary. # = FontIdentification numberSpacing (EC ( s # P – Primary, EC ) s # P – Secondary): Designates either a fixed orproportionally spaced font. # =0 means Fixed spacing, # - 1 means Proportional spacingPitch (EC ( s # H – Primary, EC ) s # H – Secondary): Designates the horizontal spacing of afixed spaced font in terms of the number of characters per inch. # = Pitch in characters/inchStroke Weight (EC ( s # B – Primary, EC) s # B – Secondary): Designates the thickness orweight of the stroke that composes the characters of a font. 6. HC
shear at point c, Influence line equations for the moment at point c, Page 14.894.10 Figure 9 Block diagram for single overhanging bridge beam Figure 10 Front panel for single overhanging bridge beamSummaryIn the presented paper the development of a simulation model of the influence lines forabutment reactions, shear, and moment at specified points using LabVIEW werepresented and discussed. By comparing the influence lines, Figure 11, for the reactions atsupports A and B of the single overhanging beam generated using the physical model tothe ones generated from the simulated model; one can see that these figures are identicalin
predicted to liquefy. If they plot below the cyclic resistance curve, like Point B in Figure 1, the soil in Page 14.173.4 the field is not expected to liquefy.The Apparatus The system described herein is an electro-pneumatic system based on a design by Li, Chan, andShen2. Back pressure saturation is performed manually by using the regulators on the pressurepanel to control the back and cell pressures. Similarly, consolidation is controlled manuallyusing the cell pressure regulator and the volume change device. The cyclic axial load is appliedto the soil specimen using an electro-pneumatic transducer that is controlled by the controlsoftware
- HardCopy3 (www.digitalintel) - $1600.00 6. Forensic Write Blockers - UltraKit (www.digitalintel) - $1500.00 Page 14.355.7 7. Assorted peripherals - USB drive trays, adapters, hard drives CD/DVDs, etc... 8. Other forensics software/hardware. B. Moving Laboratory: housed in a van, will include at least two training stations, presentation equipment, and will be driven from town to town across the state of Tennessee, and possibly surrounding states, in order to train local law enforcement officers who for various reasons cannot attend the workshops at MTSU. The estimated cost of the van and equipment will be
to correlateassessment to grading. The manner in which this was implemented is documented inAppendix A – D. In this particular example, the assessment documentation was carriedout in the subject matter area of Engineering Experimentation (Narayanan, 2007 & 2008).Appendix A shows how data collection was correlated to assessment. The grading wasadministered using Washington State University’s Rubric. Rubrics offer help andchallenge the user to determine the levels of growth and learning that would be assessedas well as the methods to assess student learning at various stages (Bresciani, 2003).A sample matrix is shown in Appendix B. The data obtained was tabulated using aLikert Scale. Several “Primary Traits” or “Characteristics” were
AC 2009-737: TESTING OF CARBON-MONOXIDE AND CARBON-DIOXIDESENSORS WITH SIMPLE APPARATUS IN AN ENGINEERING EDUCATIONLABORATORYDale Litwhiler, Pennsylvania State University, Berks Dale H. Litwhiler is an Associate Professor at Penn State, Berks Campus 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 Sys-tems and Lockheed Martin Commercial Space Systems as a hardware and software design engineer.Barbara Lombardi, Universidad Simón Bolívar Barbara Lombardi is a materials engineer with
Research Office 2008.Carlos Serrano-Salvat, Polytechnic University of Puerto Rico Carlos M. Serrano was born in Arecibo Puerto Rico, receiving his elementary education from San Juan Bosco private school graduating with honors and earning the medal San Juan Bosco, the highest Medal of Honor in that institution. During high school years, Carlos was recipient of many awards for excellence in almost all subjects, being awarded 7 medals upon graduation, including the Medal of the Pontifical Catholic University of Puerto Rico, in recognition of his high moral and academic performance. Carlos obtained a Bachelor Degree in Electrical Engineering at Polytechnic University of Puerto Rico. Intrigued by
AC 2009-838: INTRODUCING ADVANCED WIRELESS SENSOR NETWORKSINTO UNDERGRADUATE RESEARCHXiaojing Yuan, University of HoustonHeidar Malki, University of HoustonGangbing Song, University of HoustonConsuelo Waight, University of Houston Page 14.799.1© American Society for Engineering Education, 2009 Introducing Advanced Wireless Sensor Network Undergraduate Research Xiaojing Yuan, Heidar Malki, Gangbing Song, Consuelo L. WaightAbstractAdvances in sensor technology and the availability of affordable mass data storage devices areenabling a new security infrastructure. The infrastructure goes beyond traditional
theavailable wireless communication systems. Due to their low signal power and relatively highernoise to signal ratio, however, wireless signal transmissions require a carefully designed signalconditioning system. There has been an increased amount of research on wireless medical sensornetworks in order to improve and/or change the traditional service provided by medicalprofessionals to their patients including manual data collection, paper registration as well asusing hand held radios for communication. In1, the authors present the challenges medicalservice providers face due to unreliable data communication infrastructure, limited resources andless information when a disaster occurs. Today most of the studies introduce the automation ofpatient care
passed through the emission filter. The pinhole in the imageplane blocks any fluorescence light not originating from the focal region. Afterwards, thelight is focused onto the detector, preferably a photomultiplier with single photonsensitivity. Future plan is to incorporate this research experience into our SummerUndergraduate Research Training Program (SURTP) for our students.IntroductionSpectroscopy (1) is originally the study of the interaction between radiation and matter asa function of wavelength. In fact, historically, spectroscopy referred to the use of visiblelight dispersed according to its wavelength. Later the concept was expanded greatly tocomprise any measurement of a quantity as function of either wavelength or