Displaying all 8 results
- Conference Session
- Project-Based Student Learning: Part I
- Collection
- 2009 Annual Conference & Exposition
- Authors
- James Everly, University of Cincinnati
- Tagged Divisions
- Engineering Technology
- Resistance, series form • Xs - Reactance, series form • Zmag - Impedance magnitude • Theta (deg) - Impedance angle Page 14.638.9 • Rho - Reflection coefficient magnitude • RL (dB) - Return Loss, plotted as a negative number to simulate "reverse scale" • % Reflected Power • Phase (deg) - Reflection coefficient angle • Q - Quality factor, |Xs| / Rs • Rp - Resistance, parallel form • Xp - Reactance, parallel form • Ls (µH) - Equivalent inductance for series Xs, both positive and negative • Cs (pF) - Equivalent capacitance for series Xs, both positive and negative • Lp (µH) - Equivalent
- Conference Session
- Assessment and Continuous Improvement in Engineering Technology: Part II
- Collection
- 2009 Annual Conference & Exposition
- Authors
- John Irwin, Michigan Technological University; Nasser Alaraje, Michigan Technological University
- Tagged Divisions
- Engineering Technology
≠ Rating of ≠ Average rating processes Rating of Instruction for Fall 2007 & Instruction above a 3.5 Spring 2008 ≠ Targets all average for Q was 4.3 criterion 2 a- 1-18, Q 19 & Q ≠ Course k & criterion 20. improvements 8 a-c include items based on
Reconciliation Of Bernoulli’s Equation In Channel Flow: An In Depth Empirical And Numerical Approach
- Conference Session
- Curriculum in Mechanical and Power Engineering Technology
- Collection
- 2009 Annual Conference & Exposition
- Authors
- Jordon Schultz, Rochester Institute of Technology; Larry Villasmil, Rochester Institute of Technology
- Tagged Divisions
- Engineering Technology
Velocity head H m Fluid manometer height R m Hydraulic radius A mm2 Cross sectional area m Surface roughness factor h mm Channel height NR - Reynolds number t mm Channel width N*s/ m2 Dynamic viscosity V m/s Velocity Kg/m3 Density Q L/min Flow rate L m Length between taps Cumulative theoretical HLTC m
- Conference Session
- Distance and Web-Based Learning in Engineering Technology: Part I
- Collection
- 2009 Annual Conference & Exposition
- Authors
- Immanuel Edinbarough, University of Texas, Brownsville; Jesus Martinez, University of Texas, Brownsville
- Tagged Divisions
- Engineering Technology
, P. W. and Zhou, Q, “Internet Based Robotic System for Teleoperation,Assembly, and Automation,” International Journal of Assembly Automation, Vol.21, No.2,pp.143-151, 2001. Page 14.1361.119. Huang, G. Q. and Mak, K. L., “Web-integrated Manufacturing: Recent Developments andEmerging Issues,” International Journal of Computer Integrated Manufacturing, 14, pp.3–13,2001.10. Potgieter, J and Bright, G., “Modular Mechatronics Control System for InternetManufacturing,” Proceedings of the 18th International Conference on CAD/CAM, Robotics andFactories of the Future, Porto, Portugal, pp. 529-536, July 2002.11. Richard Chiou, Yongjin Kwon, Shreepud
- Conference Session
- Laboratories in Electrical and Computer Engineering Technology
- Collection
- 2009 Annual Conference & Exposition
- Authors
- Carl Spezia, Southern Illinois University, Carbondale
- Tagged Divisions
- Engineering Technology
interactivesimulations. Survey items relating to student interest and engagement are promising.Fig. 6 lists a typical test log file. The first four lines comprise the file header. This headerrecords the student name, time and date, test name, and test scoring. The test scoring line liststhe percentage correct answers, the response percentage, and the number of correct answers. Theresponse percentage measures the number of times a student responded to questions during John Doe 1/16/2009 9:52:33 PM Test ID: Practice 80.00 28.75 16.00 Q# COC POC R# ETQ Cor
- Conference Session
- Innovative Curriculum and Practices in Engineering Technology
- Collection
- 2009 Annual Conference & Exposition
- Authors
- Wei Zhan, Texas A&M University; Rainer Fink, Texas A&M University; Alex Fang, Texas A&M University
- Tagged Divisions
- Engineering Technology
1000 Minimum -1744.28 1st Quartile -534.17 Median -116.19 3rd Q uartile 314.78 -1500 -1000 -500 0 500 1000 1500 Maximum 1758.99 95% Confidence I nterv al for Mean
- Conference Session
- Laboratories in Engineering Technology
- Collection
- 2009 Annual Conference & Exposition
- Authors
- Robert Edwards, Pennsylvania State University, Erie; Gerald Recktenwald, Portland State University
- Tagged Divisions
- Engineering Technology
: 2 2 Vin Vout W& elec − Q& + m & in(hin + + gzin ) − m& out (hout + + gzout ) = 0 (1) 2 2If the heat transfer rate and the kinetic energy and potential energy terms are assumed to benegligible then equation 1 is simplified into equation 2. Page 14.1058.6 W& elec = m& outhout − m & in hin = 0 (2
- Conference Session
- Curriculum in Electrical and Computer Engineering Technology: Part II
- Collection
- 2009 Annual Conference & Exposition
- Authors
- Li Tan, Purdue University, North Central; Jean Jiang, DeVry University, Decatur, GA
- Tagged Divisions
- Engineering Technology
image to havea greater contrast, the students first converted the RGB (red, green, and blue components) colorimage to the YIQ (luminance channel and chrominance channels) format, and then equalized theluminance component Y (which contains 93% of signal energy) only. Notice that the colorcomponents I and Q were unchanged and left as they were. Next, the students repacked the Ychannel back to the YIQ format, and converted the equalized YIQ format back to its RGB colorformat as displayed in Figure 10b. The indexed-color image equalization and enhancement of thecolor image by equalizing each RGB color channel were conducted, respectively, and theircorresponding equalized effects were verified. a. Original RGB color image