blocks. One terminal blockcontains the connections (E, B, C) for a BJT. A second terminal block has connections (S, G, D)for a MOSFET. The third terminal block makes available ±15VDC that may be used assubstrate bias voltages when tracing the IV characteristics of MOSFETs that are part of transistorarrays (e.g., CD4007).Two switches determine the functional mode of the curve tracer (MOSFET vs BJT, andNPN/NMOS vs PNP/PMOS).Fig. 1. Curve tracer front-panel connections. The unit is presently configured to measure the I-Vcharacteristics of a PMOS device.Figure 2 is a block diagram of the curve tracer. We have a complete schematic diagram of thedevice, but it is not included here. The schematic was drawn in landscape mode on an 11”×17”sheet, and
insertion into the flow can be determined. Figure 3. Basic Pitot-static probe construction.Assuming steady one-dimensional flow of an incompressible frictionless fluid, the followingresult for fluid velocity can be derived from Bernoulli’s equation 7, 2(p Total − p Static ) V= (1) ρ Fluidwhere, V= Fluid velocity in m/s pTotal = Total pressure in Pa pStatic = Static pressure in Pa ρFluid = Density of fluid being
valve performed opened as expected with satisfactoryresults.Data Acquisition Board (DAQ):The NI USB-6211 DAQ was used with the LabVIEW™ software. This DAQ offers 16 analoginputs; 250 kS/s single-channel sampling rate; two analog outputs; four digital input lines; four Page 23.528.5digital output lines; four programmable input ranges (±0.2 to ±10 V) per channel; digitaltriggering; and two counter/timers10. Figure 4 shows a table of the connections. Figure 4. DAQ IntegrationWhen testing the DAQ with the ignition mechanism, the SignalExpress icon in LabVIEW™ wasemployed to automatically read the DAQ Board and
theimportant biological information is contained in the small fluctuating voltages associated withsynaptic events rather than absolute potential distance from ground. To allow sufficientamplification to see these fluctuating potentials without magnifying the absolute potentials onwhich they ride, the logical choice is to use a low-frequency filter to eliminate the direct currentpotentials. With low frequency filters, one can select Low Frequency Filter (LFF) cutofffrequencies of 0.1, 0.3, 1, 3, or 10 Hz, corresponding to time constants of 1.6, 5.3, 0.16, 0.05, or0.016 second. Even with modern digital equipment, the same LFF values work well withstandard scalp EEG frequencies. The most common setting is 1 Hz (τ = 0.16 s), which nicelypreserves most low
limits. At that point, the triallimits are adopted for future control.V. ESTIMATING PROCESS CAPABILITYThe X and R charts provide information about the performance or capability of the process inreal time frame. These charts work like a window into the process and provide a quantitativemeasure of the product quality. One must at least go through the following steps to determine theprocess capability.1) After all the assignable causes have been eliminated from the process as far as it is practical,check to see that the process is stable and under tight control, collect at least 25 to 50 samples, 3to 6 reading per sample.2) Record the data set in a time ordered sequence. After calculating X ’s, R’s, X ’s, and R ’s.estimate the values of Upper
gratefullyacknowledged. Support from the UMES aviation program and farm personnel is alsoacknowledged with thanks.Bibliography 1. UNESCO, 2016. World Water Assessment Programme(WWAP) Facts and Figures 24, http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/facts-and-figures/all-facts- wwdr3/fact-24-irrigated-land/ Retrieved Jan 2020 2. United Nations, Department of Economic and Social Affairs, Population Division, 2019. World Population Prospects 2019: Highlights. ST/ESA/SER.A/423. https://population.un.org/wpp/Publications/Files/WPP2019_Highlights.pdf Retrieved January 2020 3. S. Taghvaeian, A. A. Andales, L. N. Allen, I. Kisekka, S. A. O’Shaughnessy, D. O. Porter, R. Sui, S. Irmak, A. Fulton, J
toughness b. Compared to monolithic structure layered composites exhibited either a larger tensile strength, a larger fracture toughness or both. c. Reinforced composites exhibited a very high tensile strength associated with a large level of fracture toughness.References1. Evans, A. G. et al., Model for the robust mechanical behavior of nacre, J. Mater. Res. 16, 2475-2484 (2001).2. Katti, D. R., Pradhan, S. M. & Katti, K. S., Modeling the Organic-Inorganic Interfacial nanoasperities in a Model Bio-Nanocomposite, Re. Adv. Mater. Sci 6, 162-168 (2004).3. Yao, N., Epstein, A. & Akey, A., Crystal Growth via Spiral Motion in Abalone Shell Nacre, JMR 21
://ecow.engr.wisc.edu/cgi-bin/get/bme/310/webster/2. Medical Instrumentation, http://ecow.engr.wisc.edu/cgi-bin/get/ece/462/webster/ Page 14.734.83. Biomedical Engineering Design, http://ecow.engr.wisc.edu/cgi-bin/get/bme/200/webster/4. Supplemental Training Curriculum 2008-09, http://ecow.engr.wisc.edu/cgi-bin/get/bme/200/webster/7.suppleme/5. Introduction to Engineering, http://www.engr.wisc.edu/interegr/courses/interegr160.html6. Bernardoni S., Nimunkar A. J., Murphy J. and Courter S., “Student-initiated design and implementation ofsupplemental hands-on fabrication training curriculum in an introduction to engineering design course: A TQMapproach
work on design projects provided and supportedby the local industry and professional societies such as IEEE and ASCE. Types of the designprojects that the local industry is interested in include: completely new design to perform specifictask(s), modify or improve existing design, and solving problems in some industrial operations.Teaming skills can be improved through the use of a structured framework using a Team ProcessDocument (TPD), which is a general document that can be used by students and faculty advisorsto outline goals and objectives and to facilitate communication among team members. Whenused properly it provides a method that facilitates good teamwork and organization. It is not astand-alone method for developing good teamwork, but
output data. Figure 2: Virtual wind tunnel laboratory with airfoilThe students are enabled to select the input parameters (angle of attack, area of airfoil), select thesystem of units and request the corresponding results by clicking the “Plot” button as shown inFigure 3. If the students want to get the outputs for a specific velocity, they can input it in theDefault Inputs block and then click the “Output the Results” button. For example, if the angle ofattack is 8°, the area of the airfoil is 5 m2 and the specified velocity is 222 m/s, the studentsobtain the outputs shown in Figure 4. Page 11.141.5
/Microsoft_Speech_API[6] S.W. Arms, C.P.Townsend, D.L. Churchill, J.H.Galbreath,S.W. Mundell. “Power Management forEnergy Harvesting Wireless Sensors,” SPIE Int’l Symposium on Smart Structures & Smart Materials, SanDiego, CA, March 2005, pp.1-9.[7] D. Rakhmatov and S. Vrudhula, Energy Management for Battery-Powered Embedded Systems, ACMTransactions on Embedded Computing systems, 2, August 2003[8] Philip Levis, David Gay, TinyOS Programming, Cambridge University Press, 2009.[9] Chris Merlin, “A Tutorial for Programming in TinyOS,” 2009, accessed on Dec. 20, 2012 viahttp://www.ece.rochester.edu/projects/wcng/code/Tutorial/TinyOs_Tutorial.pdf .[10] TinyOS community: http://www.tinyos.net
objective inthis case was to explore the use of and extensions facilitated by an integrated instrumentationplatform. This platform permits students to perform bioelectrical measurements using their ownbodies as the subject of laboratory instrumentation investigations, also known as active orproject-based learning 1, 2.The instrumentation platform utilized components from Biopac Systems, Inc., including: anamplifier module suitable to explore surface potential signals as low as micro-volts, surfaceelectrodes to pickup such signals, apparatus to quantify skin response, respiration efforttransducers, and software to facilitate signal visualization, guide the student(s) through aprocedure, ensure proper calibration, and provide a format to encourage
conservation as well asdevelopment of renewable energy resources must be vigorously pursued in order to find asolution to this dilemma. The entire public must be vested towards making a transition from afossil fuel based society to one that utilizes a far greater amount of renewable energy resources.According to Elder (2009) “Higher education has a critical role to play in this transition, much asit did during the space race of the 1960s. Our colleges can - and must - help students understandthe complex connections and interdependencies among our environment, energy sources, andeconomy - all of which underpin the green movement.”[1]The present situation is very similar to the 1960’s when the entire country was unified towardsplacing a man on the moon
. Mater. Res. 16, 2475- Page 11.775.12 2484 (2001).2. Halverson, D. C., Pyzik, A. J. and Aksay, I. A. ( U.S. Patent #4,605,440, August 12, 1986. Licensed to Dow Chemical from University of California., 1986).3. Aksay, I. A., Yasrebi, M., Milius, D. L., Kim, G.-H. and Sarikaya, M. (U.S. Patent #5,308,422., 1994).4. Pyzik, A. & Aksay, I. A. (U.S. Patent #4,702,770, October 27, 1987., 1987).5. NAZARENKO, S. et al., "Creating Layers of Concentrated Inorganic Particles by Interdiffusion of Polyethylenes in Microlayers," Journal of Applied Polymer Science 73, 2877-2885 (1999).6. Kim, G. H., Sarikaya, M
-automation.com 5. Esposito, Anthony, Fluid Power with Applications, 7th Edition, 2009, Pearson Prentice Hall, Upper Saddle River, NJ, Columbus, OH 6. He, S., & Rahemi, H., & Mouaouya, K. (2015, June), Teaching PLC Programming and Industrial Automation in Mechatronics Engineering Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.24820 https://peer.asee.org/24820 7. Kadir, H., & Hossain, M. J., & Das Sharma, N., & Khan, S. J., & Hossain, A. (2015, June), Programming a Six-Axis Motoman HP3C Robot for Industrial Sorting Application Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.24598 https
control flow, dotted lines represent data flow, and dot-dash lines indicatehow the GUI is enabled. Page 11.1059.3 Figure 1. RPAS/Function Block DiagramRadar SimulationThis section describes the features of RPAS. As an example, the basic form of the radarrange equation gives the ratio of signal power from the target to the background noisepower at the radar receiver, which includes both noise received from the externalenvironment and noise added in the radar [6]. Consider the classical Radar RangeEquation, S/N = (Pp τ Gt σ Ar)/ [(4π)2 R4k Ts L] (1)where S/N = radar signal-to-noise
how their students learn in order to modify some of their delivery methods.” The studies briefly reported in a paper entitled “Teaching thinking–A focus for scienceteaching?” the authors reveal the enormous potential hidden in the 21st century student body.It is possible to improve the thinking skills of students utilizing PBL techniques and facilitatingFour Features of Learning promoted by various scholars (Nickerson, Perkins & Smith. 1985).Four Features of Learning Psychologists Raymond S. Nickerson, David N. Perkins and Edward E. Smith discusswhat is popularly known as Four Features of Learning in their famous book entitled TheTeaching of Thinking. The author has successfully utilized several ideas of these authors
characteristics of diodes, Zenerdiodes, MOSFETs, and BJT using no ancillary equipment apart from the myDAQ (and hostcomputer) and the device(s) under test. It is constructed with an inexpensive single-sidedprinted-circuit board and uses readily-available components. LabVIEW programs that automatethe display of families of IV curves for MOSFETs and BJTs are under development. Completeschematic diagrams and PCB artwork are available for easy replication. This paper will describethe curve tracer, supporting programs, and examples of its application in the laboratoryenvironment.IntroductionThe study of electronics is a core component of the electrical engineering curriculum. To thefoundation of circuit analysis, the study of electronics introduces students
2090-XXLF-X330B IAM 2094-AC16-M03-S AM1 2094-AM03-S AM2 2094-AM03-S AM3 2094-AM03-S Motor Cable Motor Feedback Cable Feedback connector Servo Motor MPL series servo Motor MPL-430P-MJ24AA Eye Vision Checking System Cognex Vision checking System 5100C HMI Panel view 1000 plus Table 2 List of Components for Trainer Panel2. Electrical LayoutAfter the Mechanical design it is needed to identify the I/O of the components which are mountedon the panel. The next
held in the 1960’s). The promises of nanotechnology are well known andthe potential impact of quantum computers and quantum communication is becoming moreapparent in the public domain. Apart from exposing undergraduates to an important emergingtechnology however – why should quantum communication experiments be integrated intoengineering technology laboratory components at this time?One reason is that it is now time for quantum encryption to be brought into actual/practicalimplementation. This goal is precisely the path a committee at the Los Alamos NationalLaboratory (LANL) has recommended for the primary focus of future funding in the area3. Asthe LANL 'Quantum Information Science and Technology Roadmap' puts it: "... will build on
. Less cost of purchase: a system that is based on fieldbus technology requires significantly less hardware than a traditional system. 6. Savings: fieldbus based systems will have a) engineering savings, b) construction savings, c) maintenance savings, and d) operation savings. 7. Lower cost of expansion and change: Since fieldbus systems are cheaper to buy and deploy, they are also cheaper to expand and modify.There are many fieldbus networks. Noel classified fieldbuses as discrete buses and processbuses [15]. Discrete buses primarily focus in the discrete manufacturing area and are typicallyON/OFF action, simple switches or low-level sensors. Competing discrete buses are: AS-I bus,Devicenet, Interbus-S, Profibus DP, SERCOS
parameter sweep could be performed in any number of software packages, including Matlab or a PSPICE variant. What distinguishes Maple and MapleSim from these other programs is the ability to generate the underlying equations of the system. This is a critically important feature. MapleSim contains an “attach equation” option which populates a Maple worksheet with live interactive hooks to the MapleSim file. Three equations are created by the worksheet which describe the mathematical rules governing the system: ⎧ D _ Goff D _ off (t) ⎫ Vbatt − OutputVolt(t) − D _ s(t)⋅ ⎨ ⎬ − D _ Goff ⋅ D _VKnee = 0
to such changes.The algal masses consume the dissolved oxygen for respiration leading to anoxic conditions inthe waters which in turn could result in massive fish kills and related organisms.4 The algalblooms are a strong indication of the overall health of a body of water in any region, and throughmonitoring the water quality of a specific ecosystem it becomes much easier to devise a waterquality management plan towards reversing or preventing the changes that are negativelyaffecting the region.5The monitoring of water quality using remote sensing was initiated in the 1970’s using earthresources technology satellite, later renamed Landsat1 (ERTS-1). Since then, the digitalevaluation of remotely sensed data has been widely used to estimate
+ 0.2 * read_temp() # equation used for averaging temp data in degrees C29. MESSAGE = 'Temp in C: ' + str(round(avg, 1)) # string containing average temp rounded to 1 decimal30. lcd.write(MESSAGE) # displays string message to LCD31. lcd.write(line2)32. lcd.write('Sending...')33. time.sleep(1)34. lcd.write(line2)35. try: # transmits data to coordinator XBee36. xbee.transmit(COORD_ADDR, MESSAGE)37. lcd.write('Data delivered')38. time.sleep(1)39. except Exception as e: # displays error code if failure to send data40. lcd.write('Transmit failure: %s' % str(e))41. time.sleep(2) Figure 10(a) – Router Code for Remote Sensor Network 1. import xbee 2. print
- Z1 Z2 S 13 V0 Z7 Z8 V2 + S7 S8 S9 Z9 Legends S 10 Z 10 S5 S 11 S6 S 12 S = Switch
project include the evaluation and revision of features through studentassessment and the addition of other experiments and simulations.References[1] Gillet, D., Latchman, H. A., and Salzmann, C., (2001), “Hands-on Laboratory Experiments in Flexible and Distance Learning”, Journal of Engineering Education, April, pp. 187-191.[2] Gillet, D., Geoffroy, F., Zeramdini, K., Nguyen, A. V., Rekik, Y., and Piguet, Y., (2003), “The Cockpit: An Effective Metaphor for Web-based Experimentation in Engineering Education”, Int. J. Engng. Ed., Vol. 19, No. 3, pp. 389-397.[3] Nguyen, A. V., Gillet, D., Rekik, Y. and Sire, S., (2004), “Sustaining the Continuity of Interaction in Web- based Experimentation for Engineering Education”, Proceedings of
variation within the same item such as the moisture level, density of materialinside the package such as soil material and temperature.References[1] G. Aryal, K. Chanda, & L. Mapa. Statistical Analysis of the Effect of Temperature on RFIDTag Readability. Mechatronics 2010 Swiss Federal Institute of Technology ETH, Zurich,Switzerland, 2010[2] L. Mapa, & S. J. Khan. Radio Frequency Identification (RFID) Tag Detection in 3-D.Proceedings of the 2016 American Society for Engineering Education Annual Conference &Exposition, June 26-29, 2016, New Orleans, Louisiana[3] T. Kim, L. Mapa, D. Ramamurthy and F. Goni (2017) Investigating the effect of temperaturein RFID Technology, ASEE, 2017, Paper ID # 18531.[4] L. Mapa, & R. Gummereddy. Effect
kinetic energy is transferred into potential energy. The speed of the tsunami is afunction of gravity and the depth of the ocean: S=g/(2*pi*f) [1].B. Comparison with Wind-Generated WavesTsunamis are orders of magnitude greater than wind-generated waves in terms of the lateralspeed, the wave period and the size of the wave. Wind-generated waves are the transfer ofenergy across the ocean. The energy is usually provided by the wind. The water particlesthemselves are not making any voyage across ocean. Instead, the particles are traveling in smallcircles as the wave passes. This can be seen in the following diagram [4]: Figure 1 Shows the differences between the landfall of tsunami and wind waves
Engineering Education Annual Conference & Exposition11. T. F. Schubert, Jr., S. M. Ford, D. M. Tawy, and S. D. Alsaialy, “A LabVIEW interface for transistor parameteranalysis: an opportunity to explore the utility of computer interfaces”, Proceedings of the 2004 American Society forEngineering Education Annual Conference & Exposition12. J. D. Wagoner and N. F. Macia, “Automatic liquid level controller using a LabVIEW based PC “,Proceedings ofthe 2004 American Society for Engineering Education Annual Conference & Exposition13. G. Javidi, J. White and E. Sheybani, “Virtual lab in engineering curriculum”, Proceedings of the 2005 AmericanSociety for Engineering Education Annual Conference & Exposition14. D. H. Lieberman and T. D. Cheung
measurement device to correctlymeasure the variable(s) of interest.One of the courses in Mechanical Engineering Technology, offered by the University, is fluidpower, which is a sophomore-level course. It covers both the theoretical and applied concepts ofhydraulic and pneumatics with about 60% lecture time and 40% lab time. Table 1 shows moredetails about the topics and lab activities of the course.Table 1. The topics and lab activities of fluid power course as are being currently covered. Lecture Lab Principles and Laws No lab Pumps Labs 1 - 4 Cylinders