Member of IEEE.Mr. Shubo Zhang, Stevens Institute of Technology He received a B.S. degree in automatic control from Beijing Institute of Technology, Beijing, China, in 2007 and a M.E. degree in electrical engineering from Stevens Institute of Technology in 2009. He is currently a Ph.D. student at Department of Electrical Engineering, Stevens Institute of Technology.Dr. Arthur B. Ritter FAIMBE, Stevens Institute of TechnologyProf. Hong Man, Stevens Institute of Technology Hong Man joined the faculty of electrical and computer engineering at Stevens in Jan. 2000. He re- ceived his Ph.D. degree in electrical engineering from the Georgia Institute of Technology in Dec. 1999. Man is currently an Associate Professor in the
student learning. Data presented in this report collected from thestudents who participated to the undergraduate research activities in an introductory materialscourse offered at Texas A&M University during two consecutive semesters (fall 2010 and spring2011). Participants took: (a) the Scientific Reasoning Test (SRT) at the beginning of thesemester; (b) the Materials Concept Inventory (MCI) at the beginning and at the end of thesemester; and (c) the Pittsburg Engineering Attitudes Test at the beginning and at the end of thesemester.4.3.1 Conceptual UnderstandingThe statistical results of the MCI tests are summarized in Tables 2 and 3. To determine the effectof the course treatment on student growth in conceptual understanding, a paired t
AC 2012-4792: ADVANCING PERSONALIZED ENGINEERING LEARN-ING VIA AN ADAPTIVE CONCEPT MAPDr. Christopher B. Williams, Virginia TechMr. Jacob Preston Moore, Virginia Tech Jacob Moore is a Ph.D. candidate in the Department of Engineering Education at Virginia Tech.Dr. Aditya Johri, Virginia TechDr. Robert Scott Pierce, Sweet Briar CollegeChris North, Virginia Tech Chris North is an Associate Professor of computer science at Virginia Tech. He leads the Information Visualization research group in the Center for Human-Computer Interaction, and directs the GigaPixel Display Laboratory, one of the most advanced display and interaction facilities in the world. He was General Chair of the IEEE Information Visualization (InfoVis
exercises builtaround PC-based control software such as LabVIEW and educational lab hardware such asbalancing an inverted pendulum (Figure 2a,b) or a ball-on-beam. In the mechatronics courses,each school has chosen to emphasize particular aspects of this interdisciplinary field. Most ofthese courses include labs. They tend to use small DC brush motors, introduce basic electronics(OpAmps, transistors, LEDs, etc.), interfacing circuits and programming microprocessors at theboard level to build popular projects such as LEGO robots (Figure 2c), line-following robots ormaze solving robots. Many of these courses are offered jointly with electrical engineeringprograms. (a) (b) (c)Figure 2
is at the lowfrequencies). Convert the 2-D DCT to its log magnitude so that this concept can berealized using the log magnitude of the DCT. You should get a plot similar to Figure 1(b) Page 25.1081.6in [6]. The equation that converts a DCT C(u,v) to its log magnitude L(u,v) is given by[6] log(1 + 0.01| C (u , v) |)L(u , v) = 255 (1) log(1 + 0.01[max | C (u , v) |]) u ,vProject Assignment Part 4: Feature ExtractionWrite a MATLAB program that computes the 2-D DCT of an image and scans it in a‘zigzag’ fashion (see
space for the projectimplementation. The space has been renovated, electrical connections dropped, and six modernlab tables with storage facility have been installed. Three stations are equipped with testequipment from Tektronix and each station include: Tektronix DMM 4010 5-1/2 DigitalMultimeter, Tektronix AFG 3022 B Dual Channel Arbitrary/Function Generator, and TektronixMSO 3014 Mixed Signal Oscilloscope. DC power supplies are on order. Each station is alsoequipped with a desktop computer and the computers are interfaced to the equipment throughEthernet cable. Each computer is equipped with latest windows operating system, high speedprocessor, and major electronic and math software like MatLab, LabView, ArbExpress(interfacing software to
Prairie View A&M University in 2005 and 2011, respectively. His doctoral disserta- tion title was ”Enabling Scatterometry as an In-line Measurement Technique for 32 nm BEOL Application and Variability Analysis.” Faruk has extensive research experience in modeling, design, simulation, and process integration of nanoscale semiconductor devices, analog mixed signal circuit design, mixed signal testing techniques, transistor level device characterization, nuclear radiation detection and analysis, and radiation effects on semiconductor devices. Faruk authored several peer reviewed referred journals, such as IEEE Transaction on Semiconductor Manufacturing, Physical Review B, and Journal of Physics. Cur- rently he is
: Insertion Force vs Displacement Figure 11: Insertion Force vs Displacement Fastener B Non-treated Sample 1 Fastener B Non-treated Sample 2 Compression results for the epoxy-treated fasteners show an increase of insertion forcefor both sets of fasteners. This increase in force is a result of two factors: the diameter increaseof the fastener with the layer of epoxy and the epoxy’s rigid effect on the flexibility of the braidsduring compression. The compression test results for the epoxy-treated fasteners show theaverage of 5 pounds of force required for the 30/45 degree fastener and an average of 15 poundsof force for the 30
2011 Ray Fahien Award. Her group has published in the proceedings of the National Academy of Science, Lab on a Chip, and had an AIChE Journal cover. She is an active mentor of undergraduate researchers and served as co-PI on an NSF REU site. Research within her Medical micro-Device Engineering Research Laboratory (M.D. ERL) also inspires the development of Desktop Experiment Modules (DEMos) for use in chemical engineering classrooms or as outreach activities in area schools. Adrienne has been an active member of ASEE’s WIED, ChED, and NEE leadership teams since 2003.Dr. Keisha B. Walters, Mississippi State University Keisha B. Walters joined the chemical engineering faculty at Mississippi State University
implement engineering education innovations; o do not implement engineering education innovations. • Develop an implementation model that promotes successful faculty characteristics and work environments.Specific tasks, discussed in further detail elsewhere13, must be performed in order to achievethese research objectives, including: • Assess, document, benchmark, and validate: (a) characteristics of individuals who adopt―or choose not to adopt―engineering education innovations and (b) his or her respective work environment; • Analyze faculty characteristics of adopters and non-adopters to determine the correlation of faculty characteristics with successful adoption; • Analyze interactions between
the elbow joint for each arm, similar to that shown in Figure 3. The orientations will be modified up to three times per group and students will record data for each orientation. Students will be given hands-on experience working with materials used in creating robotic arms used for replicating dexterous movement.Figure 3: Completed KA2 bone and pivot, similar to what students will use1. b. Testing the range of motion at a constant level of contraction (psi) Algebra students will be required to measure the range of motion for their arm at different internal muscle pressures and draw conclusions about their muscle placements and account for the differences in their measurements. c. Tabulate and graph results Students will
AC 2012-4704: CITRUS WASTE BIOREFINERY: EFFECTS OF TEMPER-ATURE, PARTICLE SIZE REDUCTION AND LIME PRETREATMENTSON GRAPEFRUIT PROCESSING WASTE (GPW) BIOMASSMiss Nicole Lynn SearsMr. Jeffrey L. Beynon, Flour Bluff ISD Jeff Beynon is a teacher at Flour Bluff High School in the Flour Bluff ISD. He has been teaching Physics AP and Physics Pre AP-B and C for the last five years at this school. He has been teaching for nine years in the science field and has taught biology, chemistry, integrated physics and chemistry (IPC), principles of technology, physics, Physics Pre AP, Physics AP-B, and Physics AP-C. He has an A.S. in biology, B.S. in marine biology, B.S in marine geology, and more than 30 hours in graduate studies in
Licensed Professional Engineer (software). Gilman has been active in various local, state, and national organizations including Rotary, Computer Cleanup Day, Leadership Brazos, B/CS Library Board, multiple IT groups, and the Texas Board of Professional Engineers, and has been nominated to serve on a national committee for the development of a standard professional engineering examination in software engineering.Dr. Dennie L. Smith, Texas A&M University Dennie Smith is a professor of education in the Department of Teaching, Learning, and Culture at Texas A&M University, College Station. He received his Ed.D. in curriculum and instruction at Auburn Univer- sity in 1969. Prior to his current position, he worked as
legacy cycle can be found in the Appendix B and the standards related tospecific activities in the legacy cycle are listed below.A.1.A and A.1.B, students will be able to, from the acquired data (time, temperature anddeformation), organize it in two tables (temperature vs. time and deformation vs. temperature)and describe the independent and dependent quantities justifying their answers.A.1.D and A.2.D students will represent relationships among the quantities (temperature,deformation, and time) using, tables and graphs. Besides, students will be able to make andinterpret scatterplots (including recognizing positive, negative, or no correlation for dataapproximating linear situations.A.5.A and A.5.B students will be able to determine whether or
students to identify key thermal processes and their ability to implement conduction,convection, and radiation modes of heat transfer. In particular, students will be able to (a)implement the laws of thermodynamics in the conversion of coal to electricity in form of aC++/JAVA program module. (b) analyze the thermal processes involved in transforming the heatfrom combustion of the coal to produce steam leading to production of electricity (c) visualizethe industrial and residential electricity demands of the city being met with the thermal process. Page 25.1222.6The laws of thermodynamics are considered to be instrumental in providing insights
, Honolulu, HI, March, 2010. 3. D. Hercog, B. Gergic, S. Uran, K. Jezernik, “ A DSP-Based Remote Control Laboratory,” IEEE Transactions on Industrial Electronics, vol.54, no.6, pp.3057 -3068, Dec. 2007. 4. S. Gallardo, F. Barrero, S.L. Toral, M. J. Duran “ eDSPlab: A remote -accessed instrumentation laboratory for digital signal processors training based on the Internet,” 32nd Annual Conference on IEEE Industrial Electronics, IECON 2006, pp. 4656-4661, 6 -10 Nov. 2006. 5. C. Olmi, B. Cao, X. Chen and G. Song, "A Unified Framework for Remote Laboratory Experiments," in Proceedings of 2011 ASEE Annual Conference & Exposition, Vancouver, BC, Canada, June 26 - 29, 2011. 6. C. Omli, X. Chen, and G. Song, "A
testing will be conducted to assess a) change in retention between courses and b)change in student problem-solving and design skills.BackgroundMany sources have made the case for reforming engineering education to reflect modern trends.Most notably, a recent National Academy of Engineering (NAE) report found that2 Engineering education must avoid the cliché of teaching more and more about less and less, until it teaches everything about nothing. Addressing this problem may involve reconsideration of the basic structure of engineering departments and the infrastructure for evaluating the performance of professors as much as it does selecting the coursework students should be taught.The report also stressed the importance of teaching
comparison, the model simulationsassumed addition of 0.00550 mole of hydrogen but 0.00183 mole of dithionite (i.e., one-third theamount of H2) per kg of total solution. In both simulations, the groundwater was assumed to bebuffered with 0.01 M bicarbonate. The PHREEQC input files are presented in the Appendix. Page 25.13.6Results and DiscussionFigures 1 and 2 show the PHREEQC-simulated changes in (a) oxidized species in solution(Fe3+, U6+ and S6+), (b) reduced species in solution (Fe2+, U4+, and S2-), (c) solid-phase species[Fe(OH)3(s), UO2(s) and FeS(s)], and (d) Eh and pH with increasing addition of H2 and sodiumdithionite, respectively.Comparing the
AC 2012-3735: A MODULAR APPROACH FOR TEACHING A FIRST UN-DERGRADUATE COURSE IN NANOELECTRONICSDr. Syed Iqbal Omar P.E., Texas A&M University, Kingsville Syed Iqbal Omar is a professor of electrical engineering and computer science at Texas A&M University, Kingsville. The areas of his current research interests are computational nanotechnology and spintronics.Prof. Reza Nekovei, Texas A&M University, Kingsville Reza Nekovei is a professor of electrical engineering and computer science at Texas A&M Univer- sity, Kingsville. He has many years of experience in developing graduate and undergraduate programs. Nekovei is currently co-PI for two NSF projects related to teaching by design research and develop
25.1356.7In the OSU course, students follow the complete design cycle for each of the labs.Implementation: This course introduces students to the methods by which math topics are usedin engineering science and design courses. Students apply mathematics through experimentationand design projects. Both analytical and computational (MATLAB) techniques are used for dataanalysis and graphical representation. The course objectives are listed below. At the conclusionof the course the students should be able to: a) Use algebra, systems of equations, trigonometry, sinusoids, derivatives, and integrals in solving engineering analysis and design problems b) Work effectively in teams c) Communicate engineering work effectively in written form
AC 2012-5408: A SUCCESSFUL FOUR-YEAR ACADEMIC SCHOLAR-SHIP PROGRAM FOR UPPER DIVISION ENGINEERING AND COM-PUTER SCIENCE NON-TRANSFER STUDENTS AND GRADUATE STU-DENTSDr. Mary R. Anderson-Rowland, Arizona State University Mary Anderson-Rowland is the PI of an NSF STEP grant to work with five non-metropolitan community colleges to produce more engineers, especially female and underrepresented minority engineers. She also directs two academic scholarship programs, including one for transfer students. An Associate Professor in computing, informatics, and systems design engineering, she was the Associate Dean of Student Affairs in the Ira A. Fulton Schools of Engineering at ASU from 1993-2004. Anderson-Rowland was named a top
AC 2012-3071: THE ROLE OF EXPOSURE TO FAILURE CASE STUD-IES ON STUDENTS’ TECHNICAL AND PROFESSIONAL GROWTH: AMIXED METHOD APPROACHProf. Joshua Gisemba Bagaka’s, Cleveland State UniversityDr. Norb Delatte, Cleveland State University Norbert J. Delatte, Jr., P.E., F.ACI, F.ASCE, is Professor and Chair of the Department of Civil and Envi- ronmental Engineering at Cleveland State University. He received his B.S. in civil engineering from The Citadel in 1984, a master’s degree in civil engineering from the Massachusetts Institute of Technology in 1986, and a Ph.D. in civil engineering from The University of Texas, Austin in 1996.Dr. Paul A. Bosela P.E., Cleveland State University
slide. Anexample of this is shown in Figure 2 for the “Mini” module, “The Influence of theDepartment/University Mission.” Here, the instructor can use the slides as a template to includeinformation about how the goals of the local university and department missions are related. Page 25.802.4 (a) Title page; this is a sub-topic of the (b) Orientation page; this shows where ‘Interviewing, Networks, and Building informational interviewing fits in with other Relationships’ “Full” module
heat is continuously transferred to the engine at a rate of 100kJ/second. What is the maximum possible rate at which the engine could possibly produce work? A) 100kJ/s B) Nearly 100kJ/s C) Significantly less than 100kJ/s”.A less conceptually based version of the same question might read: “Compute the thermal efficiency of a Carnot engine working continuously with a heat source at 300ºC and a heat sink at 25ºC.” While it is crucial that students develop an accurate understanding of engineeringconcepts, it is also true that typical lecture-based classroom instruction has been shown to have alimited impact on conceptual understanding in technical areas. For example, in a large meta-study of physics students
citizens who will help decide the US future.We hope to be able to continue these excellent programs for many years. The METSTEPprogram is funded through the 2013-2014 year. The CIRC program is funded through the 2014-2015 year. Additional funding needs to be found for the CIRC/METS and lower division S-STEM programs for their continuation after the 2012-2013 academic year.References 1. Zhang, G., Anderson, T., Ohland, M., Carter, R., and Thorndyke, B., “Identifying Factors Influencing Engineering Student Graduation and Retention: A Longitudinal and Cross-Institutional Study”, (2002) Annual American Society for Engineering Education Conference Proceedings, Montreal, Quebec, 14 pp. 2. Sleeman, K.A. and Sorby, S. A., “Effective
AC 2012-3217: THE USE OF A PROJECT CIRCUIT IN THE TEACHINGOF A BASIC ELECTRIC CIRCUITS COURSEProf. James P Becker, Montana State University James Becker is an Associate Professor of electrical and computer engineering at Montana State Univer- sity. His professional interests include microwave circuits, radio frequency electronics, nanoelectronics, pedagogical research, and distance education. He is a 2004 recipient of the NSF CAREER award.Dr. Carolyn Plumb, Montana State University Carolyn Plumb is the Director of Educational Innovation and Strategic Projects in the College of Engi- neering at Montana State University (MSU). She works on various curriculum and instruction projects including instructional development
AC 2012-4854: MECHANIX: THE DEVELOPMENT OF A SKETCH RECOG-NITION TRUSS TUTORING SYSTEMMs. Olufunmilola Atilola, Texas A&M University Olufunmilola Atilola is currently a doctoral student in the department of mechanical engineering at Texas A&M University. She obtained her master’s degree from the University of South Carolina, Columbia and her bachelor’s degree from Georgia Institute of Technology, both in mechanical engineering. At Texas A&M, her research areas include representations in engineering design and innovations in engineering education.Ms. Cheryl OstermanFrancisco Vides, Texas A&M University Francisco Vides is a Graduate Researcher at the Sketch Recognition Lab at Texas A&M University
AC 2012-3927: ASSESSING AN ADAPTIVE EXPERTISE INSTRUMENTIN COMPUTER-AIDED DESIGN (CAD) COURSES AT TWO CAMPUSESDr. Michael Johnson, Texas A&M University Michael D. Johnson is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minn. He received his B.S. in mechanical engineering from Michigan State University and his M.S. and Ph.D. from the Massachusetts Institute of Technology. Johnson’s research focuses on design tools; specifically, the cost modeling and analysis of product development and
adoption research. Objectives and observable outcomes are: 1. Software Support System. Develop an evaluation instrument database and user interface that support users in accessing desired instrument information and in providing feedback on instrument and system features. Achievement of this objective requires delivery of a prototype system that (a) has a web interface with appearance and functionality expected by the community, (b) enables users to easily locate desired resources, (c) instructs users in proper use and interpretation of instrument results, and (d) enables users to provide useful feedback on the instrument and system. 2. Instrument Selection and Appraisal Process. Establish an appraisal
Colleges. Am. J. Phys., 76, 1066-1069.[7] Chaney, B. H. (2006) History, theory, and quality indicators of distance education: A literature review. Available online at http://ohi.tamu.edu/distanced.pdf. Accessed 5 January 2012.[8] Sonnenwald, D.H., Solomon, P., Hara, N., Bolliger, R., & Cox, T. (2002) Collaboration in the large: Using video conferencing to facilitate large group interaction. In A. Gunasekaran and O. Khalil (Eds.) Knowledge and Information Technology in 21st Century Organizations: Human and Social Perspectives (pp. 115-136). Hershey, PA: Idea Publishing.[9] Beck, K. et al. The Principles behind the Agile Manifesto. Available online at http://agilemanifesto.org/principles.html. Accessed 5 January 2012