Web”. Society for Modeling and Simulation International (SCS). Vol. 73, No. 13 11. Ogot, M., Elliott, G., and N. Glumac, “An Assessment of In-Person and Remotely Operated Laboratories,” Journal of Engineering Education, vol. 92, no. 1, Jan. 2003, pp. 57 63. 12. Hyder, A. D., Bjerstedt S. Virtual Assistant. United States Patent Office, assignee. Patent 0074831 A1. 2006. 13. Fry, H., Ketteridge, S., Marshall, S., A Handbook for Teaching & Learning in Higher Education. 2nd Ed. 2003. New York ISBN 9780749437992 14. Schmid, C., Eikaas T,. Foss B., Gillet, D. (2002): "A Remote Laboratory Experimentation Network" Cyberlab.Org AS, Trondheim, Norway
device. (Note: the instructor should have LabView running on the computer and the VI loaded). b) Data Collection: (1) Add water into tank to about 3” above the transducer (2) Record transducer voltage on the table on below (3) Record tank depth on the table below (4) Repeat steps 1) through 3) at least 3 more times. Make sure your readings are spread over the entire range of the possible fluid depths for the tank. (5) Inspect the raw data you have recorded (a) Be sure to add units to the table. (b) What is the appropriate reference point for the depth of water measurement? In other words, where is the physical location of the “zero depth” point in
feedfrom Mogulus and Ustream. These attempted the experiments from a network with abandwidth of 60 kbps and more.54 % were unable to view the live video feed. These attempted the experiments from anetwork with a bandwidth of 15 kbps and less.3. User Experience:a. Lab intuitiveness: Page 14.39.13The average score given by the users for the intuitiveness of the lab (i.e. the experimentclients and the available documentation) was 72.9 %.b. Depth of understanding:From the questions asked the students sequel to their performing the experiments, ouraverage assessment of the depth of their understanding of the concepts being taught,introduced and
this model? b. How good are those assumptions? c. How can you test those assumptions? d. Is this an upper or lower estimate? 7) Estimate the final temperature a. What assumptions went into this model? b. How good are those assumptions? c. How can you test those assumptions? d. Is this an upper or lower estimate? 8) How much work was done during the process a. What assumptions went into this model? b. How good are those assumptions? Page 14.881.5 c. How can you test those assumptions? d. Is this an upper or lower estimate? 9) Upon completion
. Page 14.413.6Sensor Installation:Mounting devices (see Figure 8) were designed with SolidWorks® to attach the two pieces (one slidingpiece and one fixed) of the linear displacement sensor to the plunger and the syringe case, respectively.An “L”-shaped bracket holds the sliding bar of the displacement sensor and attaches it to the plunger(Figure 8 (b)); a sheath device holds the fixed part of the displacement sensor to the syringe case (Figure8 (a)). The force sensor is glued to the upper surface of the L-shaped device (see Figure 8 (c)). Force (b) (a) (c
of thepaper.VEX Robotics KitThe VEX standard kit was selected for the laboratory experiments. This kit includes motors, geartrains, metal frames and shafts, basic sensors, controller and program modules. The VEXcontroller is composed of two PIC 18F8520 μCs. The sensors include two light sensors, twolimit switches and two bumper switches. The programming hardware includes an USB-to-SerialCable, a VEX programming module, and a RJ11 phone cable. For the software, a MPLAB C18compiler for the VEX system provides a true C programming environment. The USB-to-SerialCable, VEX programming module, and phone cable are to be connected together as shown inFigure 1 (a). Figure 1 (b) shows the downloading of a program into the VEX controller. (a
identifier. The version of CAN 2.0B extends to a 29-bitidentifier. Figure 5 shows the CAN 2.0 protocol layers for A and B. The CAN module for theM16C29 microcomputer is a communication controller implemented with a CAN 2.0B protocol.CAN 2.0B has application, data link and physical layers. The application layer generates orinterprets data and actually sends and receives messages. The object layer is responsible forhandling messages, such as selecting a transmitted or received message, working as an interfacebetween the transfer layer and the application program running on the CPU. The transfer layerensures that messages adhere to the protocol. The physical layer defines the physical (hardware)implementation and the electrical (signal level
AC 2009-2359: IMPLEMENTATION OF A NEW COMMUNICATIONLABORATORYShuju Wu, Southeast Missouri State UniversityXiaobing Hou, Southeast Missouri State UniversityRagu Athinarayanan, Southeast Missouri State UniversityCharlie Wallgren, Southeast Missouri State University Page 14.690.1© American Society for Engineering Education, 2009 Implementation of an Integrated Undergraduate Telecommunications LaboratoryAbstractThis paper focuses on the implementation of the integrated laboratory using identifiedequipments and elaborate how it can provide students an integrated network environment wheretraditional telephone network, VoIP, data network and backbone
AC 2009-514: INTEGRATING A REVERSE ENGINEERING PROJECT IN ALABORATORY-BASED INTRODUCTORY ENGINEERING COURSEAtin Sinha, Albany State University Atin Sinha is the Regents Engineering Professor and Coordinator of the Engineering Program at Albany State University. He received his Ph.D. in Aerospace Engineering from the University of Tennessee Space Institute in 1984. He had worked in Learjet and Honeywell before moving to academia in 1990. He is also a Registered Professional Engineer. Currently, he is engaged in motivating undergraduate students in inquiry based learning through laboratory experimentation
AC 2009-1640: HANDS-ON EXPERIENCE WITH RANKINE CYCLE IN THETHERMAL SCIENCE LABORATORY COURSEMessiha Saad, North Carolina A&T State University Messiha Saad is an Assistant Professor of Mechanical Engineering at North Carolina A&T State University. He received his Ph.D. from North Carolina State University. He taught Mechanical engineering core courses for more than twelve years; he also teaches Internal Combustion Engines, Design of Thermal Systems, HVAC, and related courses in the Thermal Science areas. He received numerous teaching awards including: The Most Helpful Teacher of the Year Award in 2005, Procter & Gamble Student Choice Award Favorite Teacher in 2004, and Teacher of
AC 2009-1328: A NEW ELECTRICAL ENGINEERING LABORATORY FACILITYCOMBINES TRADITIONAL LABORATORY EXPERIMENTS,COMPUTER-BASED LAB EXERCISES, AND LABS TAUGHT VIA DISTANCERobert Egbert, Missouri State University Dr. Robert Egbert is Professor of Electrical Engineering at Missouri State University (MSU) in Springfield, MO. He received B.S., M.S., and Ph.D. degrees from the University of Missouri - Rolla (now Missouri University of Science and Technology - Missouri S&T). He has industrial experience with Black & Veatch Consulting Engineers in Kansas City and MKEC Engineering Consultants in Wichita, KS. He was a member of the faculty of the Department of Electrical and Computer Engineering at
% 0.0% 0.0%PICKit1 Use Positive Comments N/A N/A N/A 83.3%PICKit1 Use Negative Comments N/A N/A N/A 0.0% Page 14.1145.6The average course grade for the class as a whole increased from a B- to a B+. The overallnumerical score on the course evaluation did not change significantly. Written course evaluationcomments indicated that students did not feel constrained by limited access to lab facilities ashad been the case in the years prior to 2004. Written comments on the student evaluationsindicated that a majority of the students in the 2004 class liked the
Column (top right), and Signal Comparisons from the Column (bottom). Page 14.353.10Figure 4: Concomitant Measurement Systems for the Final Experiments with Data Validations in an OEP. Page 14.353.11 S ig n a l G ene rato r V e r t ic a l C o lu m n A C B r id g e A m p l if ie r L o w -p ass F i lt e r C a p a c it i v e S ensor D C B r id g e A m p l if ie r
andFM receivers as part of their project-based learning experience. For the 2008 fallsemester project students studied, designed and implemented AM transmitters and AMreceivers. The main challenges that the students faced in the 2008 Project-based learningproject were: a) an AM transmitter or receiver design of their own, b) intensive study andresearch of AM modulators, oscillators, mixers, frequency multipliers and other RFcircuits, since electronic communication circuits are studied in detail a semester later in asecond electronic course and RF theory is introduced a year later in the Communicationcourse.Effects on student learning concerning the concepts and applications of the studiedelectronics components were measured during the semester
AC 2009-1473: LEARNING MECHATRONICS THROUGH GRADUATEDEXPERIMENTATIONJohn Rogers, United States Military Academy John Rogers received the B. S. degree in aerospace and ocean engineering from Virginia Tech in 1986, and the M.S. degree in mechanical engineering from Montana State University in 1993, and his Ph.D. degree in mechanical engineering at Rensselaer Polytechnic Institute in 2003. Dr. Rogers is an Assistant Professor at the United States Military Academy. His research interests are design of mechatronic and robotic systems, and modeling of dynamic systems. Dr. Rogers is a registered professional engineer.Robert Rabb, United States Military AcademyChristopher Korpela, United States Military
considered to be a novelty1-5,nevertheless, each new application seems to present its own set of often-unexpected challenges.And this was what we experienced, which we now share with a wider audience. Page 14.1019.2 (a) (b) Figure 1: (a) Schematic of MEMS electrothermal actuator, (b) Image of MEMS electrothermal actuator and tip displacement measurement scaleII. Project Implementation DetailsThe equipment that was originally available to us in the MEMS research lab included: a KarlSuss model PM-4 microprobe station, a microscope, a video
. An assessment of in-person and remotely operated laboratories. Journal of Engineering Education, 92(1):57–62, 2003.[34] Eileen Scanlon, Chetz Colwell, Martyn Cooper, and Terry Di Paolo. Remote experiments, re-versioning and re-thinking science learning. Computers and Education, 43 n.1-2:153–162, 2004.[35] H. Shen, B. Dalager X. Xu, V. Kristiansen, Ø . Strøm, M. S. Shur, T. A. Fjeldly, J.-Q. Liu, and T. Ytterdal. Conducting laboratory experiments over the internet. IEEE transactions on Education, 42(3):180–185, 1999. Page 14.259.10[36] D. C. Sicker, T. Lookabaugh, J. Santos, and F. Barnes. Assessing the effectiveness of
) (2) ≠ Calculate tuning parameters KC, TI, and TD for the PID controller with following equations Page 14.224.5 (3) (a) Initial setup of the PID function parameters (b) Reaction curveFigure 3. Tuning of an oven controller with the Ziegler-Nichols method for open-loop system Page 14.224.6As a static PID application example, the ladder logic program of a temperature control of anoven is assigned to students. In this exercise, the PID function of the
systems commercially available that suits eventhe most modest budget. Figure 1, for example, shows a typical configuration of a dataacquisition system offered by AIM Sports specifically designed for motor racing.Both, the data collected and the analysis performed by the use of data acquisition systemscan be subdivided into suitable categories. This subdivision normally depends on theintended application of a data acquisition system. In car racing, for example, it is Page 14.1257.5common to break down the collected data into the following categories:(a) Vital functions of the car,(b) Driver Activity, and(c) Chassis Physical Parameters.The number of
. Asdescribed on the nanoHUB.org website, key characteristics of the nanoHUB.org simulation toolsthat make them good resources for incorporation into classroom environments are: a) they wereproduced by researchers in the NCN focus areas, b) they are easily accessed online from a webbrowser powered by a highly sophisticated architecture that taps into national grid resources, andc) they provide a consistent interactive graphical user interface—i.e. Rappture, which makeseven the most esoteric computational model approachable to experts and non-experts. Rapptureis a toolkit that allows the incorporation of a friendly graphical user interface with the simulationtools in the nanoHUB.org (McLennan, 2005) 2 . For example, Figure 1 illustrates a typical
AC 2009-2390: MAINTAINING THE SCIENCE AND ENGINEERING PIPELINEDouglas Sugg, United States NavyBruce Galloway, United States NavyJohn Fishell, STEP Page 14.856.1© American Society for Engineering Education, 2009 Maintaining the Scientist and Engineering PipelineAbstract:Technology is advancing at an ever increasingly rapid pace. This is particularly true in theDepartment of Defense (DoD). Test and Measurement Systems (TAMS) require a continuedinflux of scientists and engineers properly trained to advance the TAMS support structures fornew and advanced technology applications while maintaining existing support structures forcurrent equipment. The demand for
most Science and Engineering curricula in Nigeria isinadequate. In Obafemi Awolowo University for example, undergraduate students typicallycarry out around five assignments related to digital electronics, and there is no treatmentwhatsoever of Field Programmable Gate Arrays(FPGAs). In the research work beingreported, an attempt has been made to develop a remote laboratory though which the numberof digital electronics experiments students carry out can be increased.The remote laboratory, called the Advanced Digital Lab (ADLab), allows students tosynthesis digital systems on an FPGA with a hardware description language. To achieve this,a development board with an Altera Cyclone II FPGA is connected to a computerimplementing the server tier of
AC 2009-160: THE EFFECTS OF COMPUTER INTERFACE ON LEARNINGOUTCOMES IN REMOTE-ACCESS LABORATORIESM. Reza Emami, University of TorontoMichael G. Helander, University of Toronto Page 14.1209.1© American Society for Engineering Education, 2009 THE EFFECTS OF COMPUTER INTERFACE ON LEARNING OUTCOMES IN REMOTE ACCESS LABORATORIESAbstractRemote access laboratories are increasingly being integrated into undergraduate engineeringcurricula on a global scale. Despite the vast body of literature dealing with remotely-accessiblelaboratories, the majority of papers have focused on the technical merits of a particularimplementation, rather than on the implications of
AC 2009-2430: NCSLI'S METROLOGY AMBASSADOR OUTREACH PROGRAMGeorgia Harris, National Institute of Standards and Technology Georgia Harris is the Group Leader for the Laboratory Metrology Group in the Weights and Measures Division of the National Institute of Standards and Technology. She is responsible for the Laboratory Recognition, Training, and proficiency testing of State Weights and Measures Laboratories and has been involved in metrology for more than 25 years. Prior to her work at NIST, she was a metrologist with the State of Minnesota. Ms. Harris is also the Vice President of Learning and Development in the National Conference of Standards Laboratories, International. She