control systems and human-machine interactions.Dr. Steve C. Hsiung, Old Dominion University Steve Hsiung is a professor of electrical engineering technology at Old Dominion University. Prior to his current position, Dr. Hsiung had worked for Maxim Integrated Products, Inc., Seagate Technology, Inc., and Lam Research Corp., all in Silicon Valley, CA. Dr. Hsiung also taught at Utah State University and California University of Pennsylvania. He earned his BS degree from National Kauhsiung Normal University in 1980, MS degrees from University of North Dakota in 1986 and Kansas State University in 1988, and PhD degree from Iowa State University in 1992. Steve can be reached at shsiung@odu.edu.Mr. Matthew B. Kersey
on the serial link to the Arduino. TheArduino turns on a LED and returns the message “job done”. MATLAB Script Adruino UNO Fig. 3 Arduino-MATLAB InterfaceLab 1 b) -Long-Distance Serial Link Between Two Arduino DevicesIn this part, MATLAB engine on the transmitter side TX is connected via wire-link toanother MATLAB engine on the receiver side RX. MATLAB TX prompts theArduino TX to supply the instruction code to blink an LED on the long-distancereceiver side Arduino RX. The Arduino TX lights up an LED to indicate that it hasreceived the prompt. It sends the required code to the MATLAB TX and turns off
when variation exists in the process.As shown in Figure 1, the five components (A, B, C, D, and E) are assembled together create thefinal product. If the worst-case scenario is used, the assembled product would be assumed tohave as large of the tolerance as the sum of the individual tolerances or ±0.075 inches. If thedesigner would like to keep the tolerance as ±0.050, then tighter tolerances for componentswould be sought. If this is applied to all components equally over the five assembledcomponents, then the tolerance of each component will have to be set to ± 0.010 inches whichwould increase the cost of components, perhaps unnecessarily.Using the RSS method, the variation of the assembled product is calculated using the squaredvalues of the
magnitudes andphases while the third phasor V3 is specified as a complex vector.Three phasors: V1=10 30 V2=5 60 V3=10-j16Phasor addition Vadd =V1 + V2 +V3MATLAB Code __________________________________________________________________V1=phasor(10, 30); V2=phasor(5, 60); %defining two phasor objectsV3=phasor(10, -16, 'x2ph') ; %defining two phasor objectsVadd=V1+V2+V3; %Algebraic addition of phasor objectsphplot([V1, V2, V3, Vadd]) %Fig. 1(a) plotting phasors on the complex planeVadd=add_graph(V1, V2, V3) %Fig. 1(b) Graphical Addition of PhasorsVadd = phasor with properties: Mag: 18.3389 phase: -6.2094%Representing phasors V1, V2 and Vadd can be visualized in the triangular
................................................................................................................................... iiiI. INTRODUCTION ........................................................................................................................1II. SYSTEM DESCRIPTION ..........................................................................................................2 1. Overview by Block Diagram ....................................................................................................2 2. Vehicle Components and Data Collection ................................................................................2 a. Boe-Bot Chassis(1) ...............................................................................................................2 b. Fiberglass Platform(1
, Engineering Technology Education in the United States, National Academies Press, Washington, D.C., 2016.[2] J. M. Breiner, S. S. Harkness, C. C. Johnson, and C. M. Koehler, “What is STEM? A discussion about conceptions of STEM in education and partnerships,” School Science and Mathematics, vol. 112, no. 1, pp. 3-11, 2012.[3] D. W. White, “What is STEM education and why is it important,” Florida Association of Teacher Educators Journal, vol. 1, no. 14, pp. 1-9, 2014.[4] J. B. Labov, A. H. Reid, and K. R. Yamamoto, “Integrated biology and undergraduate science education: a new biology education for the twenty-first century?,” CBE-Life Sciences Education, vol. 9, no. 1, pp. 10-16, 2010.[5] E. Perignat, and
one to the CLOs, Bloom’s Taxonomy measures and ABET outcomes are all summarized in Table 3. The bloom’s taxonomy measuresare provided at the bottom of Table 3. ABET outcomes measures that are reported in Table 3 are:(a) applying knowledge to engineering technology activities, (b) select & apply knowledge ofmath, science, engineering and technology to engineering technology, (c) conduct standard testsand measurements, and interpret experiments, (d) function in a team, (e) solve broadly-definedengineering technology problems, (f) communication skills, and (g) continuous improvement.Table 3. PBL activities and their relations to CLOs, Bloom's Taxonomy measures, and ABET outcomes Course Learning
image processing” book starts with the assumption that the reader hasaccess to an image. It generally does not cover on how to select/develop an imageacquisition system for a given application. This gap was addressed in this course.In summary, this designed course designed was to cover the four key segments ofcomputer vision systems, i.e. a) image acquisition, b) image processing, c) imageanalysis, and d) image understanding (pattern recognition). Table 1 illustrates thefour learning objectives of the course and their associated Bloom’s taxonomy. Toachieve these learning objectives, active teaching and learning techniques alongwith modified conventional lectures and hands-on laboratory activities were used.In addition to the assignments, and
, September 24-26, 2012, Prague, Czech Republic 3. S. Nenonen, P.A. Jensen, G. Lindahl, 2014, “Knowledge Map of Facilities Management”, Proceedings of the 13th EuroFM Research Symposium, EFMC 2014, pp:245 – 257, 4-6 June 2014, Berlin, Germany4. B. Gerrits, M. Mes, P. Schuur, P., (2017), “An Agent-Based Simulation Model for Autonomous Trailer Docking”, Proceedings of the 2017 Winter Simulation Conference, pp: 1324 – 1335, December 3-6, 2017, Las Vegas, NV5. M.P.O.J. Gootzen, J.W.E. Heling (2016), “Task Scheduling in a Full Roaming Shuttle System”, Proceedings of the 2016 Winter Simulation Conference, pp: 2844- 2854, December 11-16, 2016, Arlington, VA6. A. Baddock, S. Gahagan, T. Lhotsky, C. Tupino, and H. Xu, H., (2014
Paper ID #24656The Scientific Influence of the Journal of Engineering TechnologyDr. Robert A. Chin, East Carolina University Robert A. ”Bob” Chin is a faculty member, Department of Technology Systems, College of Engineering and Technology, East Carolina University, where he has taught since 1986. He is the Engineering Design Graphics Division’s chair and in 2015, he completed his second term as the director of publications for the Engineering Design Graphics Division and the Engineering Design Graphics Journal editor. Chin has also served as the Engineering Design Graphics Division’s annual and mid-year conference program
Paper ID #25498Continued Efforts in TI ARM M4 Microcontroller Curricula Developmentsand Assessments between Three Different Institutions and ProgramsDr. Steve C. Hsiung, Old Dominion University Steve Hsiung is a professor of electrical engineering technology at Old Dominion University. Prior to his current position, Dr. Hsiung had worked for Maxim Integrated Products, Inc., Seagate Technology, Inc., and Lam Research Corp., all in Silicon Valley, CA. Dr. Hsiung also taught at Utah State University and California University of Pennsylvania. He earned his BS degree from National Kauhsiung Normal University in 1980, MS degrees
Design (CAD). c American Society for Engineering Education, 2019Enhanced Student Learning Experience in Technical Drawing and CADthrough Augmented Reality and Micro Credentials Yue (Jeff) Hung1, Daniel Weinman1 1 Farmingdale State CollegeAbstractComputer Aided Drafting and Design is a required freshman course for Mechanical EngineeringTechnology AAS and BS and Manufacturing Engineering Technology BS programs atFarmingdale State College. The course teaches students technical drawings and computer aideddesign (CAD) which includes 2D computer aided drafting, and 3D modeling. These topics areclosely related. The students who excel in these topics will have
Paper ID #25690Building a Cybersecurity Pipeline through Experiential Virtual Labs andWorkforce AlliancesDr. Jorge Crichigno, University of South Carolina Jorge Crichigno received the Ph.D. degree in computer engineering from the University of New Mexico, Albuquerque (NM), USA. He is an Associate Professor in the Integrated Information Technology De- partment in the College of Engineering and Computing at the University of South Carolina, Columbia (SC), USA. His current research interests are in the areas of network and protocol optimization for high- throughput high-latency systems, and Internet measurements for cyber
-358.3. Alvarez, B. (2011). "Flipping the classroom: Homework in class, lessons at home". Education Digest: Essential Readings Condensed For Quick Review, 77 (8): 18–21.4. Baker, J.W. "The 'Classroom Flip": Using Web course management tools to become the Guide by the Side." In J. A. Chambers (Ed.), Selected papers from the 11th International Conference on College Teaching and Learning (2000), pp. 9-17. Jacksonville, FL: Florida Community College at Jacksonville.5. Batson, B. (2016, June), 'Other' Reasons to Invert a Class Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana.6. Bergmann, J. and Sams, A. (2012). Before You Flip, Consider This. Phi Delta Kappan, 94(2), 25-25.7. Canino J. V. 2015
modern tools skills used inmastery of tools used in the used in the the discipline.modern tools discipline with rare discipline withused in the mistakes or errors. few mistakes ordiscipline. errors. 5 4 3 2 1 N/AOutcome b. ☐Can ☐ ☐Can ☐ ☐Often needs ☐/Performance demonstrate demonstrate an help to apply aIndicator 1. comprehensive ability to apply a knowledge ofDemonstrates ability to apply a knowledge of
Foundation.References[1] M. Mahmoud, "Attracting Secondary Students to STEM Using a Summer Engineering Camp," PhD, Engineering Education, Utah State University, Logan, UT, 2018.[2] D. W. Callahan and L. B. Callahan, "Looking for engineering students? Go home," IEEE Transactions on Education, vol. 47, no. 4, pp. 500-501, 2004.[3] M. F. Kazmierczak and J. James, Losing the Competitive Advantage?: The Challenge for Science and Technology in the United States (no. Book, Whole). American Electronics Association, 2005.[4] D. R. Heil, N. Hutzler, C. M. Cunningham, M. Jackson, and J. F. Chadde, "Family Engineering: Exploring Engineering with Elementary-Age Children and Their Parents," in American Society for Engineering
systems,” 2011 19th Mediterranean Conference on Control & Automation, Corfu, Greece, 2011.[6] Butzin, B., Golatowski, F., Niedermeier, C., Vicari, N., Wuchner, E., “A model based development approachfor building automation systems,” Proceedings of the 2014 IEEE Emerging Technology and Factory Automation,Barcelona, Spain, 2014.[7] Gokceli, S., Bahadir Tuğrel, H., Pişirgen, S., Karabulut Kurt, G., Berna Örs, S., “A Building AutomationSystem Demonstration,” 2015 9th International Conference on Electrical and Electronics Engineering , Bursa,Turkey, 2015.[8] Kindelin, L., Brookins, J., Tijerina, A., Morris, A., Morgan, J., “Sophisticated 1:4 Scale Internet of ThingsModel Home for K-12 STEM Outreach,” 2019 American Society for Engineering Education
Study and AnalysisThe objective of this study is to compare several classification models and determine whichalgorithm works efficiently with regard to a number of evaluation metrics. The steps involved inthe study are listed below: A. Data collection B. Data pre-processing C. Feature selection D. Training model process E. Model evaluationA. Data collectionData collection is one of the most important and time-consuming stages of this analysis. Thequality and integrity of the data have to be maintained to get real and accurate predictions. Thestudy began with the data collection of students’ access behavior from Blackboard Learn. Wemade use of 11 sections from IT341 and CYSE230 courses offered in Spring and Fall 2018semesters
,” Florida Association of Teacher Educators Journal, vol. 1, no. 14, pp. 1-9, 2014.[4] J. B. Labov, A. H. Reid, and K. R. Yamamoto, “Integrated biology and undergraduate science education: a new biology education for the twenty-first century?,” CBE-Life Sciences Education, vol. 9, no. 1, pp. 10-16, 2010.[5] E. Perignat, and J. Katz-Buonincontro, “STEAM in practice and research: An integrative literature review,” Thinking Skills and Creativity, vol. 31, pp. 31-43, 2019.[6] A. M. Lucietto, J. Moss, and M. French, “Examining Engineering Technology Students: How they perceive and order their thoughts,” in ASEE National Conference, Columbus, OH, 2017.[7] A. M. Lucietto, J. D. Moss, E. Effendys and R. M
., “Flipping the Classroom: How to Embed Inquiry and Design Projects into a DigitalEngineering Lecture”, Proceedings of the 2012 ASEE Psw Section Conference, Cal Poly-San Luis Obisco.3. Prince M., “Does Active Learning Work? A Review of the Research”, Journal of Eng. Education, Vol. 93, No. 3.4. Cronhjort M., Weurlander M., “Student Perspectives on Flipped Classrooms in Engineering Education”,Proceedings of the International CDIO Conference, Turku University of Applied Sciences, Turku, Finland 2016.5. Bachnak A., Maldonano S. C., “A Flipped Classroom Experience: Approach and Lessons Learned”, Proceedingsof the national ASSE Conference, Indianapolis, 2014.6. Tomàs R. B , Salvador J. T., and al., “Implementing the Flipped Classroom Methodology to the
Paper ID #26919Meeting Workforce Demand through Industrial Partnership: A Case in LouisianaDr. Nabin Sapkota, Northwestern State University of Louisiana Nabin Sapkota is an Assistant Professor in the Department of Engineering Technology at Northwestern State University. He received a B. E. degree in Production/Industrial Engineering from the Regional En- gineering College, Tiruchirappalli, Tamilnadu, India and a M.S. and Ph.D. in Industrial Engineering from the University of Central Florida (Orlando, FL, USA). He has a diverse expertise in the areas of Operations Research, Simulation, Quality Engineering, and Nonlinear
,” International Journal of Engineering Education, 30. 400-411, 2014.[2] A. Parkinson, "Engineering Study Abroad Programs: Formats, Challenges, Best Practices," Online Journal for Global Engineering Education, Vol. 2: Issue 2, Article 2, 2007.[3] S. B. Sutton, D. Obst, C. Louime, J. Jones, "Developing Strategic International Partnerships: Models for Initiating and Sustaining Innovative Institutional Linkages," Sociology & Anthropology Faculty Book and Media Gallery. 21. 2011.[4] S. Segalewitz, “Seven Years of Success in Implementation of a 3 + 1 Transfer Program in Engineering Technology Between Universities in China and the Unites States”, ASEE Annual Conference, Atlanta, 2003.[5] D. Myszka, S
exploration of warehouse automation implementations: cost, service and flexibility issues. Supply Chain Management: An International Journal, 12(2), 129-138.[7] Christopher, M., & Towill, D. R. (2002). Developing market specific supply chain strategies. The international journal of logistics management, 13(1), 1-14.[8] Pfohl, H. C., Zollner, W. A., & Weber, N. (1992). Economies of scale in customer warehouses: theoretical and empirical analysis. Journal of Business Logistics, 13(1), 95.[9] Farley, J. U., Kabn, B., Lebmann, D. R., & Moore, W. L. (1987). Modeling the choice to automate. Sloan Management Review (1986-1998), 28(2), 5.[10] Hackman, S. T., Frazelle, E. H., Griffin, P. M., Griffin, S. O
over the initial month of the Year 3, this with respect to all members of the program.Here, what can be seen is that help interactions were fairly frequent the first month but droppingoff towards the second month, likely due to the new students gaining familiarity with the Figure 7 Distribution of help given across stakeholders of program Figure 8 Distribution of help received across stakeholders of programprogram. What this segment of data suggests is how a) varying student levels of experience weresupported through students b) Teachers and research team serves as a resource for classroommanagement and
building design, building automation, and smart envi- ronments. ˜ Tecnologico Nacional de Mexico / Instituto Tecnologico de MatamorosDr. Anabel Pineda-Briseno, Anabel Pineda Brise˜no was born in H. Matamoros, Tamaulipas, Mexico in 1978. She received the B. degree in computer systems engineering from the Autonomous University of Tamaulipas, in 2000 and her M.S. and Ph.D. degrees in computer science from the Computer Research Center (CIC) of the Mex- ican National Polytechnic Institute (IPN), Mexico City, in 2006 and 2013 respectively. Since 2005, she has been a partial professor of computer science with the Tecnologico Nacional de Mexico / Instituto Tecnologico de Matamoros. Dr. Pineda-Brise˜no is
Paper ID #24604Semester-Long Project of a Part Failure for Freshman Students in Mechani-cal Engineering TechnologyMr. Fredrick A. Nitterright, Penn State Erie, The Behrend College Mr. Fred Nitterright is a lecturer in Mechanical Engineering Technology at Penn State Erie, The Behrend College. He received the A. A. S. in Mechanical Drafting and Design in 1989 from Westmoreland County Community College, the B. S. in Mechanical Engineering Technology in 1991 from Penn State Erie, The Behrend College, and the M. S. in Manufacturing Systems Engineering from the University of Pittsburgh in 1998. Mr. Nitterright is a member of the
. They remarked that the tools provided “novel hands-on” interdisciplinary teaching instrument for aerospace and mechanical engineering students.[6]. Spearrin, R. M., & Bendana, F. A. (2018). Design-build-launch: a hybrid project-based laboratory course for aerospace engineering education. Acta Astronautica.[7]. Kroll, E., & Artzi, D. (2011). Enhancing aerospace engineering students' learning with 3D printing wind-tunnel models. Rapid Prototyping Journal, 17(5), 393-402.[8]. Chiou, R., Tseng, T. L. B., & Jayadev, S. (2018, June). Enhanced 3-D Printing for Energy Harvesting Project Implementation into Green Energy Manufacturing Laboratory. In 2018 ASEE Annual Conference & Exposition.[9]. Cengel, Y. A., &
Paper ID #25454Lessons Learned Creating a BSET with a Regional Campus ModelAimee T. Ulstad, Ohio State University Aimee Ulstad, P.E is an Associate Professor of Practice in the Integrated Systems Engineering Department at The Ohio State University. Prior to joining the faculty at Ohio State, Aimee was an industry professional in various field in engineering for over 30 years. Aimee received her degrees in Mechanical Engineering and Masters in Business Administration from Ohio State. She began her career as a packaging equipment engineer at Procter and Gamble, then moved to Anheuser-Busch where she worked for over 27
parts a and c of theproblem. Lines 10-12 perform calculations to generate answers for parts b, d, and e. Lines 13 and14 define variables to be used by gnuplot: $omegaplot is in units of milliseconds for plotting, and$function is the function definition to be plotted. Note that all of the variables are Perl variablesexcept for “x”, which is the horizontal axis variable in the plot.Figure 8 shows the XML code that calls gnuplot. Line 22 defines general parameters, such as the Figure 8: XML code to call gnuplot and graph sine wavetype of plot, width, alignment, and font size to be used. The subsequent statements define theplotting range, axis labels, line style, and function to be plotted ($function from the Perl script).The
systems selected are (Figure 1): garbage compactor [11], and b)punching press. These are relatively commonplace and simple systems that students will be ableto relate to their operation, and more important to be able to have good discussion aboutcapabilities, specifications, options, and provides opportunity for potential improvements of thesystems. (a) garbage compactor (b) punching press Figure 1. Systems used for development of materials on fluid power.The corresponding hydraulic systems to be used as the base for the materials and furtherdevelopment are the ones shown below in Figure 2. In these systems, the important takeaway isthat they have the basic components and there is some type of