activates the timer on delay T4:2. This allows energizing solenoid valve B inrung 5 and retracting the actuator arm to its original position.In rung 6, the normally open input done bit T4:2/DN is connected to an output reset T4:0. Aftertime elapsed two seconds in timer on delay T4:2, the reset re-energizes the input T4:0/EN inrung 0, in order to restart the conveyor belt.In rung 7, the normally open input I:1/1 is connected to a counter up C5:1 with a preset of 1000parts. Every time a part breaks the light beam of the photoelectric sensor the counter counts upuntil the number reaches 1000, which indicate the storage area is full.Figure 3 shows the sequence of pulses applied to conveyor’s motor and double solenoid valve Aand B. As depicted in Figure
AC 2008-1442: SOME INTERESTING ENGINEERING PROBLEMS WITHOBJECTS OF SIMPLE GEOMETRY AND RELATIVELY COMPLEXMATHEMATICAL FORMULATIONB. Sridhara, Middle Tennessee State University Dr. B. S. Sridhara is a professor in the Department of Engineering Technology and Industrial Studies at Middle Tennessee State University. He received his B.S.M.E. and M.S.M.E. degrees from Bangalore University and Indian Institute of Science, Bangalore, India. He received his M.S.M.E. and Ph. D. degrees from Stevens Institute of Technology, Hoboken, New Jersey, and Auburn University, Alabama. Dr. Sridhara has published several peer-reviewed articles in the areas of Acoustics, Vibration, finite element methods, and
B Figure 4: Overall layout of the laboratory A. The CNC Mill. B. The variable speed, reversible conveyor with eight photoelectric sensors located along one side with two mirrors located along the other. C. Smart cameras mounted above the conveyor. D. RFID read/write head. The IDENT controller is not visible in this picture. E. The student built PLC control cabinet.A summary in chart form of the successes and failures are given in chart 1.System Successes Failures Teach
efforts target outcomes when aggregate student scores are below 3.0.Attachment B is an example of a class assessment. This particular course, which is one of thefirst engineering technology courses the students take, the data gathered, showed that as a wholethe students are slightly below the average of 2.5, with respect to understanding reciprocals. Thedata for this particular class will be compared with the data collected for the other classes toanalyze the overall results. If there seems to be consistency between data from other groups, thefaculty, with input from the IAB, will decide what changes will be made to try to improve thescores. Information collected in a course included both direct and indirect methods on eachstudent in the
more efficient.General Arrangement in EERC SB-36: Page 13.1292.16 16Existing Equipments Arrangement R Material Crib Hallway C Cut-off Saw SB-37 B Belt Sander SB-37 S Band Saw Dow/ATDC D Drill Press SB-36 M Vertical Mill SB-36 A Assembly Bench SB-36 ANALYSIS AND RESULTSLink No. Routing(Operation
responsibility while promoting interdependence among group members.According to Johnson, Johnson, and Smith, five essential elements are necessary to allow for Page 13.1279.3true team efforts: (a) positive interdependence, (b) individual accountability, (c) face-to-faceinteraction, (d) social skills, and (e) group processing.[6]Positive interdependence stipulates that successful outcomes of one team member are dependentupon the successful outcomes of each team member. In addition, well functioning groupsrequire every team member to be held individually accountable for handling their share of theload. Through design or through neglect, these two elements
circuitboard. Therefore, the course grade of a student had direct correlation with his/her overalllearning of the course material. Average course grade for all 21 students was ‘B+’ and two out of three students who tookthe course at ALC received a grade of ‘B’ and one received an A in this course. An averagegrade of third project (fabrication, tests, and functionality) for all 21 students was ‘B+’, and twoout of three students at ALC received a grade of ‘B’ and one student received an ‘A’. Therefore,it can be inferred that the students at the remote location (taught under Synchronous DistanceDelivery) learned the course topics similar to students in the live classroom and were able toapply the gained knowledge to design and fabricate functional
D u ty cy cle co m m a n d M o to r T a rg e t sp ee d D u ty c y cle a s a sp e ed PW M M o to r fu n c tio n o f co n tr o l D y n a m ics ta rg et sp eed M o to r lo a d a n d V b a tt Figure 3
graduation. The experiences explained above gave the EET program vital information which helped build appropriate documentation for Criterion 3 – Assessment and Evaluation. • Another area concerning accreditation centers on Criterion 5 – Faculty (in the case of TAC-ABET requirements or sections 6.5.1 (b & c) (in the case of NAIT requirements). Overall competence of the faculty is covered within this criterion and standards, and certainly the activities of faculty completing an internship in industry would be looked favorably upon by a visiting program evaluator. Activities such as what has been described are very much centered around “industrial professional experience” or “applied industrial
. Acompetency list for the Beattie Robotics Technology program was created that mapped onto fiveCal U courses required in an existing associate degree, including automation, robotics, circuitanalysis, digital electronics, and computer science. Full details of the articulated curriculum areavailable on the 2+2+2 program website.2 The agreement requires students to earn a B averageor better and to be recommended by the Beattie robotics teacher. Credits only, not grades, willbe recorded on the transcript when a student enters the Cal U associate degree program.Third Step: expansion and needs validationIn the 2006-07 academic year, DCED funded expansion of the 2+2+2 robotics partnership.McKeesport Area Technology Center (McKeesport) was added as a
AC 2008-289: A NEW CLASS COVERING HEALTH CARE TECHNOLOGIESRyan Beasley, Texas A&M University Ryan Beasley is an Assistant Professor of Electrical Engineering Technology at Texas A&M University. He received his Ph.D. from Harvard University in 2006 as a result of his work on the control of surgical robots. His research activities involve designing surgical robots, developing virtual reality tools to enhance image-guided surgery, investigating haptic interfaces, and devising control algorithms for all the above. Page 13.70.1© American Society for Engineering Education, 2008
following format: Survey on Teaching AssignmentA. Please provide specific written information, based on your experience in the TeachingAssignment:1) What was done well (please be specific):2) How can you be better motivated to learn the course materials?3) How would you do the teaching assignment if you have a choice?B. Please rate (on a scale of 1-10, with 10 = best) your perceptions of how successfully the teaching assignment was in terms of these dimensions: 1. Usefulness of the teaching assignment guideline ____ 2. How do you like the format of team presentation ____ 3. Learned all the materials in chapter 20____ 4. Learning of chapter 20 more effective than other chapters____ 5. Was the grading fair
Project,” Proceedings of the 2005 ASEE Annual Conference and Exposition, Section 1648, June 2005.3. Wang, J., Liu, S., and Price, A. H., “The Dancing Marionette - An Interdisciplinary Capstone Design Experience for Engineering Technology and Computer Science Students,” ASEE Annual Conference, June 18- Page 13.536.11 21, 2006, Chicago, Illinois.4. Pocius, A. V., Adhesion and Adhesives Technology – An Introduction, Hanser Verlag, 2002.5. Gerhard Gierenz, Werner Karmann. “Adhesives and adhesive tapes”, 2001, New York.6. Philippe Cognard. “Handbook of adhesives and sealants”, 2003, New York.7. Phillips, J., Adams, B
technology, how it works, how it is being used, where it is being used, advantages and disadvantages of using the technology, cost savings it is providing, etc. Based on review of the literature, contact with field professionals, and perhaps personal experience with the technology, write a report and present or demonstrate the results to the class. - Other project ideas mutually agreed to by the instructor and the student.Grading Scale:The following grading scale will be used in assigning grades:100-90% = A 89-80% = B 79-70% = C 69-60% = D 59- 0% = FAdditional Notes and Policies:1. Please read assigned material PRIOR to the scheduled date.2. Incomplete "I" grades are reserved for students who have a serious
will then be used to create the mesh surface. This data is then processedto extract basic features if obtainable. All the regular features such as plane, cylinder, and conecan be extracted, while irregular surface are fitted to the spline surfaces. The surface created withsplines is NURBS surface (Non-Uniform Rational B- spline). Feature extraction will give a highquality representation of the road profile. A schematic flowchart how the laser scannermeasuring system operates is shown in Figure 5. Figure 5. Data processing diagram of the road scanning system3. Results from measurement and building of 3D modelThis section shows the experimental results obtained by placing three wooden planks on the floorin the indoor environment
. The term “evaluation”characterizes one or more processes for interpretation of the data and evidence accumulatedthrough assessment practices that (a) determine the extent to which program outcomes oreducational objectives are being achieved; or (b) result in decisions and actions taken to improvethe program. Use of multiple assessment tools and measures is imperative for (a) the programoutcomes, i.e., knowledge and capabilities of students at the time of graduation and (b) theprogram objectives, i.e., the expected accomplishments of graduates during the first few yearsafter graduation.The purpose of this paper is to critically examine the assessment data collected for a specificcomponent of the curriculum (structures), over at least two
-check matrix. The sparseness of H means that there are a very low number of 1’s in H,compared to it’s total size. Matrix H can be expressed by a factor graph. One example showingthe relationship is shown in Figure 1. A graph called Tanner graph (factor graphs can beunderstood as advanced graphs based on Tanner graph) is shown in Figure 1-(a) and thecorresponding H matrix is shown in Figure 1-(b). In Figure 1-(a), there are three check nodes and5 variable nodes. Hence, the graph can be expressed by the 3×5 H matrix shown in Figure 1-(b).In addition, the first check node in Figure 1-(a) is connected to the 1st, 2nd, and 5th variable nodes,which means there are 1’s in the 1st, 2nd, and 5th columns of the first row of the H matrix shownin Figure 1
been written for thesecond housing, sufficient data were not gathered to provide a complete report for the secondhousing. The lesson here is that “Plan B” must be developed at the outset, especially whendealing with lab equipment. Another lesson involved the time needed to actually develop thealignment procedure. Complex geometry and relatively small features can make for a difficultalignment process. Budgeting additional time on the front end of the project would havealleviated this issue.Conclusion and Further RecommendationsAlthough the lessons mentioned above were obstacles to completing this project, the overallsuccess was noteworthy. The senior student, working the independent study project, wasexposed to the process of measuring with a
exposing Mechanical Engineering Technology students to a manufacturingprocesses course sequence in their curriculum improves their ability to design and build. This iscurrently taking place at Arizona State University’s Mechanical & Manufacturing EngineeringTechnology (MMET) Department where all of the engineering technology (ET) students arerequired to take a minimum of two manufacturing processes courses.The MMET department offers two different TAC of ABET-accredited B. S. degree programs;manufacturing engineering technology and mechanical engineering technology. The Page 13.298.2manufacturing engineering technology degree offers a
demonstrate those outcomes within ourprofessional activities as role models? This paper will reflect on how faculty and librariansfostered a successful cross disciplinary relationship and worked as an effective team built ondiverse personal strengths. The authors examine their journey to nurture an information fluentlearning environment which they viewed as one of critical 21st century teaching and learningissues, and share their lessons learned that are applicable to their team skill teaching practices.IntroductionSome of Technology Accreditation Commission of the Accreditation Board for Engineering andTechnology (TAC of ABET) Criterion 2 Program outcomes, such as (a) a mastery of theknowledge, (b) an ability to apply current knowledge and adapt to
ViveL'ingénieur. Montreal, Quebec: ASEE Conference.9. Mainoo, J, (2006). A study to establish a masters degree in electronics and computer technology at the BowlingGreen State University, Masters Project, Bowling Green State University, Ohio.10. Mohammed, T., Yang, B. (2005). Issues in Hands-on Online Graduate Programs in Information Technology. InProceedings on The Changing Landscape of Engineering and Technology Education in a Global World. Portland,OR: ASEE Conference.11. National Science and Technology Council (2005). Forces of Global Change. Retrieved November 8, 2005, fromhttp://www.technology.gov/reports/techni/techtoc.htm.12. Ohio Labor Market Information (2006). Ohio Job outlook to 2012. Retrieved July 5, 2006 fromhttp://lmi.state.oh.us/.Price
transmitter/receiver antenna.Connecting a spectrum analyzer to the “receiver part” of the antenna allowed the viewingof the backscattered signal spectrum. Page 13.972.3 Figure 2 Experimental Set up"Experimental ProcedureFigure 3 shows two types of electronic ballast driven fluorescent lamps and the RFIDreader used in the project. Figure 3a shows 3 fixtures (Set FLs1) each consisting of 2 FLsdriven by ICN-2P32-SC electronic ballast. Figure 3b shows one fixture (Set FLs2);consisting of 4 FLs driven by ICN-4P32-SC electronic ballast. (a) (b) (c
Page 13.529.2(IT) and science, technology, engineering and mathematics (STEM) fields that will continue atleast into the next decade. As evidenced by the U.S. Government’s H1-B visa program, it hasbecome necessary to import skilled practitioners in these fields from other countries to meet theneeds of the American industrial base. In South Korea, 38% of all undergraduates receive theirdegrees in natural science or engineering. In France, the figure is 47%, in China, 50%, and inSingapore 67%. In the United States, the corresponding figure is 15%2. For the long-termeconomic health of this country it is important that more students pursue studies in these fieldsand then join the workforce. The United States is today a net importer of high
Outcomes 11 An appropriate mastery of the knowledge, techniques, skills and modern tools of the discipline Outcome 1 (ABET 2.a ) An ability to apply current knowledge and adapt emerging applications of mathematics, Outcome 2 science, engineering and technology (ABET 2.b ) An ability to conduct, analyze and interpret experiments and apply experimental results to Outcome 3 improve processes (ABET 2.c) An ability to apply creativity in the design of systems, components or processes appropriate to Outcome 4 the program objectives (ABET 2.d ) Outcome 5 An ability to function effectively on teams ( ABET 2.e
, June 1999.9 Zhang, G., Anderson, T., Ohland, M., Carter, R., and Thorndyke, B. (2002). Identifying factors influencing Page 13.933.9engineering student graduation and retention: A longitudinal and cross-institutional study, Proceedings of theAmerican Society for Engineering Education National Conference, June 2002.10 Ozgur, E., Chen, H., Bailey, T., Engerman, K., Loshbaugh, H.G., Griffin, A. et al., (2005). Development of thePersistence in Engineering (PIE) survey instrument, Proceeding of the American Society for Engineering EducationAnnual Conference & Exposition, June 2005.11 Ozgur, E., Chachra, D., Chen, H., Rosca, C
. Page 13.56.98. Mehrabian, A., “Application of Technology in Course Transformation from Live to Distance Learning,” TheTechnology Interface, Fall 20079. Christie, B., “Writing On-line Exam Questions that Discourage Dishonesty”, ASEE Proceedings, 2003, Session327510. Gavrin, A., et al, “Just-in-Time Teaching (JITT): Using the Web to Enhance Classroom Learning, Computers inEducation Journal, 200311. Buchanan, E. A. (1999). Assessment Measures: Pre-tests for Successful Distance Teaching and Learning, On-line Journal of Distance Learning Administration (2)3. Retrieved fromhttp://www.westga.edu/~distance/buchanan24.html.12. Lockee, B., Moore, M., and Burton, J., “Measuring Success: Evaluation Strategies for Distance Education”,EDUCAUSE Quarterly, No
+ (r ) i −1 T ij ∆rij ij l iji −1The collection of the lengths of six cylinders gives a matrix equation, ∆l ij = B∆q (16) riji - 1 T I riji -1 ~ T r0 ∆s where B is a 1 × 6 matrix whose row is equal to i -1 − i-1 and
skills.Student performance can also be investigated to determine the impact of the coursemodifications. The class averages for the 2005 through 2007 course offerings was a B (83%),C+ (78%), and a B+ (88%), respectively. Looking at the spread of the final grades show astandard deviation of 6%, 17%, and 4%, respectively for the 2005 through 2007 semesters. Thisdata indicates that student performance decreased as the level of difficulty increased with respectto the programming projects. However, by synchronizing the projects together, and adding theWindows GUI programming as an introduction to using APIs student performance not onlyimproved, but became more consistent.ConclusionsCoordinating software programming projects in an operating systems course to
Page 13.1373.8to hill, instead it start moving back after the engine torque released at a time of 22 s ofthe simulation. This has given the student an opportunity of investigating the systemcapabilities. The model can be used further detailed discussion and analysis of the vehiclebehavior. For example, the car body longitudinal velocity and acceleration for 5% groundslope are shown in Figure 8.The vehicle is accelerating and reaches to maximum velocity until time 22 second whenthe engine torque is set to zero as seen in Figure 8.a. The accelerating scheme as seen inFigure 8.b during this period looks like a step function since gear ratios are suddenlyincreased at times of 5, 10, and 15 s of simulation. The slight decrease in
AC 2008-1399: EARTH DAY TEACH-IN: A MODEL FOR INDUSTRY,COMMUNITY, AND EDUCATION COLLABORATIONKen Barnard, K-State at Salina Ken Barnard has a doctorate in Aviation and Space from Oklahoma State University, and is a professional pilot with Airline Transport Rating, Certified Flight Instructor in airplanes and helicopters and Mechanic Airframe and Power Plant ratings. Ken is a professor in Aviation at Kansas State University at Salina. A former Department Head and Director of an International Pilot Center Ken became interested in climate change issues while doing atmospheric research for the Aviation Meteorology class he currently teaches. He was selected as one of the one-thousand individuals