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Collection
2018 ASEE Zone IV Conference
Authors
Dennis Derickson, California Polytechnic State University, San Luis Obispo
thiscontribution provides many of the learning outcomes possible with VSA/VSG equipment withadditional insights at the hardware level that might not be evident using SDRs.The laboratory exercise in this contribution centers on having students build IQmodulators/demodulators that can be used to demonstrate digital communication links. Therequired construction parts include semi-rigid coaxial cable, surface mount frequency mixers,and surface mount resistors that cost $10. A pre-lab handout and introductory laboratory lectureillustrate how IQ modulators are used to generate arbitrary digital modulation constellations inthe I-Q plane. An example completed IQ modulator is shown to students demonstrating thebasics of high frequency signal routing with short
Collection
2018 ASEE Zone IV Conference
Authors
Nebojsa I Jaksic P.E., Colorado State University, Pueblo; Trung H Duong, Colorado State University, Pueblo
robotwas used for about 25 years to teach undergraduate engineering students robotics concepts andapplications. Originally, the robot’s controller was connected via a 9-pin serial port to an Intel8088-based PC. The PC communicated with the robot via Q-Basic programming language runningunder the Disk Operating System (DOS). One group of students was exposed to two phases ofdevelopment, DosBox and MATLAB environments running in Windows 7 64-bit. Students’attitudes and perceptions surveys, students’ self-reflections statements, and individual studentinterviews, strongly indicated that the old robot with an upgraded computer environment is still acapable tool in developing industrial robotics programming skills.IntroductionIndustrial robots are an
Collection
2018 ASEE Zone IV Conference
Authors
Vladislav Valeryevich Miftakhov, ASPIRES; Cody Del Prato; Søren Anders Tornøe, Cañada College; Kwan M Lim, San Francisco State University; ali attaran, San Francisco State University; Amelito G Enriquez, Canada College; Cheng Chen, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Kwok Siong Teh, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hamid Shahnasser, San Francisco State University; Wenshen Pong P.E., San Francisco State University
it at the output. In the Precharge Latch, as displayed in Figure 2,two MTJs are used as resistive memory cells to hold the data as binary one or zero. For the readmode, the input is Sense ENable (SEN). The outputs are the differential voltage outputsreferenced as Q for the left side of the circuit and Q’ for the right side of the circuit. For the writemode, there are four inputs: WEN1, WEN2, WEN3, and WEN4.The three inverters that appear directly around the MTJs are the write drivers. This portion of the Proceedings of the 2018 American Society for Engineering Education Zone IV Conference Copyright © 2018, American Society for Engineering Education
Collection
2018 ASEE Zone IV Conference
Authors
Kattia Chang, Cañada College; Karina Abad, Cañada College; Ricardo Jesus Colin, Canada College; Charles Tolentino, University of California, Merced; Cameron Malloy, University of California, Berkeley; Alex David, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Xiaorong Zhang, San Francisco State University
Tagged Topics
Diversity
, Handelsman J: Increasing persistence of college students in STEM. Science 2013, 341:1455-1456.4. Tewolde G, Kwon J: Robots and Smartphones for attracting students to engineering education. In American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the. IEEE; 2014: 1-6.5. Pearson G: Changing the Conversation: Messages for Improving Public Understanding of Engineering. 2008.6. Zhang X, Liu Y, Zhang F, Ren J, Sun YL, Yang Q, Huang H: On Design and Implementation of Neural-Machine Interface for Artificial Legs. Industrial Informatics, IEEE Transactions on 2012, 8:418-429.7. Donovan I, Valenzuela K, Ortiz A, Dusheyko S, Jiang H, Okada K, Zhang X: MyoHMI: A Low-Cost and Flexible