AC 2009-949: S-LEARNING: NEW WEB SERVICES IN E-LEARNINGPLATFORMSRosario Gil, Universidad Nacional de Educacion a DistanciaElio Sancristobal, Universidad Nacional de Educacion a DistanciaSergio Martin, Universidad Nacional de Educacion a DistanciaGabriel Diaz, Universidad Nacional de Educacion a DistanciaAntonio Colmenar, Universidad Nacional de Educacion a DistanciaMartin Llamas, Universidad de VigoEdmundo Tovar, Polytechnic University, MontegancedoAlfonso Duran, Carlos III University of Madridjuan peire, Universidad Nacional de Educacion a DistanciaManuel Castro, Universidad Nacional de Educacion a Distancia Page 14.1040.1© American Society for Engineering Education, 2009
AC 2009-1208: FIRST-YEAR EXPERIENCE IN MANAGING NSF S-STEMGRANTS AT KANSAS STATE, SALINARaju Dandu, Kansas State University, Salina Page 14.634.1© American Society for Engineering Education, 2009 First Year Experience in managing NSF S-STEM Grant at K-State at SalinaAbstractThe ELITE (Enhancing Lives through Technology and Engineering) program is a targetedscholarship program to increase the number of traditionally underrepresented but academicallytalented students in Kansas earning associate and bachelor's degrees in engineering technology.The program received an S-STEM grant from National Science Foundation (NSF) in 2006. Thispaper provides an overview of first year grant
AC 2009-829: A NSF-SUPPORTED S-STEM SCHOLARSHIP PROGRAM FORRECRUITMENT AND RETENTION OF UNDERREPRESENTED ETHNIC ANDWOMEN STUDENTS IN ENGINEERINGAnant Kukreti, University of Cincinnati ANANT R. KUKRETI, Ph.D., is an Associate Dean for Engineering Education Research and Professor of Civil and Environmental Engineering at the University of Cincinnati (UC). He joined UC on 8/15/00 and before that worked 22 years at University of Oklahoma. He teaches structural engineering, with research in experimental and finite element analysis of structures. He has won five major university teaching awards, two Professorships, two national ASEE teaching awards, and is internationally recognized in his primary
AC 2009-936: USING ABET ASSESSMENT REQUIREMENTS AS A CATALYSTFOR CHANGE: ENHANCING AND STREAMLINING THE ENGINEERINGMANAGEMENT UNDERGRADUATE PROGRAM AT MISSOURI S&TStephen Raper, Missouri University of Science and Technology Stephen A. Raper is an Associate Professor of Engineering Management and the Associate Chair of Undergraduates studies in the Engineering Management & Systems Engineering Department at the Missouri University of Science & Technology. He received the B.S., M.S., and Ph.D. in Engineering Management from the department and focuses most of his efforts on teaching, advising and administrative activities related to the undergraduate program, and is also an incoming
A Simulation Model for Enhancing Warehouse Manual Processes in a Paper-Converting Company Using RFID Technology Ricardo A. Camilo & Dr. S. Keith Hargrove Department of Industrial, Manufacturing & Information Engineering Clarence Mitchell, Jr., School of Engineering Morgan State University Baltimore, MD 21251AbstractIn recent times, the interest in using radio frequency identification (RFID) technology in supplychain activities has increased due to potential benefits in customer responsiveness and inventoryand logistical costs reduction. RFID technology offers tremendous opportunities for
Applying Lean Assessment Tools at a Maryland Manufacturing Company Deborah Ihezie and S. Keith Hargrove Department of Industrial, Manufacturing & Information Engineering Clarence Mitchell, Jr. School of Engineering Morgan State UniversityAbstractManufacturing companies are implementing and adapting to a number of strategic practices toenhance quality and improve productivity to remain competitive and reduce costs. The use ofLean practices has proven to achieve these objectives. The purpose of this research is to evaluateand perform an assessment of the current status of a local manufacturing organization, MiddleRiver Aircraft Systems (MRAS), located
Development of a Mechanical System for Osteon Isolation S. Ranglin 1, D. Das. 2, A. Mingo1, O. Ukinamemen 1, G. Gailani 1, S. Cowin2, 3, & L. Cardoso 3 1 Mechanical Engr. Tech. Dept., New York City College of Technology 2 Mechanical Engr. Dept., City College of New York 3 Biomedical Engineering Dept, City College of New York Abstract Osteons are small semi cylindrical hard tissues that exist in long bones of humans and some animals. Their diameter is in the range of 250 – 300 micrometers approximately. They contain the osteocytes
FAMILY E GI EERI G: I TRODUCI G E GI EERI G TO PARE TS & CHILDRE Neil J. Hutzler1, Joanne S. Chadde1, David Heil2, and William E. Kelly3 1 Michigan Tech University, Houghton, MI 2Family Science Foundation, Portland, OR 3ASEE, Washington, DC Abstract: The goal of Family Engineering is to engage, inspire, and encourage elementary and middle school students to consider careers in engineering and science through hands-on activities with their parents at Family Engineering Nights. This program is designed to address the United States’ need for an increased number, and greater diversity, of students skilled in math, science, technology
AC 2009-959: DIGITAL SIGNAL PROCESSING: THEORY AND PRACTICE,HARDWARE AND SOFTWAREWei PAN, Idaho State University Wei Pan is Assistant Professor and Director of VLSI Laboratory, Electrical Engineering Department, Idaho State University. She has several years of industrial experience including Siemens (project engineering/management.) Dr. Pan is an active member of ASEE and IEEE and serves on the membership committee of the IEEE Education Society.S. Hossein Mousavinezhad, Idaho State University S. Hossein Mousavinezhad is Professor and Chair, Electrical Engineering Department, Idaho State University. Dr. Mousavinezhad is active in ASEE and IEEE and is an ABET program evaluator. Hossein
Finite Element Learning Module for Improving Knowledge of Fatigue using Commercial Software Josh Coffman1, Jiancheng Liu2, Ashland O. Brown2, Sachin S. Terdalkar1, Joseph J. Rencis1 1 University of Arkansas, Fayetteville; 2University of the PacificAbstractFinite element (FE) active learning modules have been developed for various undergraduateengineering courses. These FE learning modules are used to introduce basic and complexengineering problems to enhance student learning of the theory and fundamentals of the finiteelement method. A review of educational literature reveals that fatigue and finite elements arenot addressed
Putting the horse before the cart – Fitting a new project into established design and writing pedagogy W. Riddell†, S. Bakrania†, K., Bhatia†, J. Courtney, K. Dahm†, R. Harvey‡, L. Weiss†† College of Engineering† College of Communication‡ College of Liberal Arts and Sciences†† Rowan UniversityProject-based learning has been an important aspect of the Rowan University College ofEngineering curriculum since its inception in 19961. In the fall of the sophomore year,engineering students take a multidisciplinary, integrated, project-based course that is designed toteach both
AC 2009-2138: RECRUITMENT, RETENTION, AND SERVICE LEARNING INENGINEERINGJohn Duffy, University of Massachusetts, Lowell Professor, Mechanical EngineeringLinda Barrington, University of Massachusetts, Lowell Service-Learning Coordinator, College of EngineeringManuel Heredia, University of Massachusetts, Lowell Doctoral Research Assistant, Renewable Energy Engineering Page 14.1015.1© American Society for Engineering Education, 2009 Recruitment, Retention, and Service-Learning in EngineeringAbstractIn this study, an average of nearly 800 students per semester has participated in S-L projectsintegrated into courses throughout the four-year
accounting equation for this case. i.e. S& / S& − ( m& s ) / ( m& s ) − S& ? S& in out in out gen . CV (3) Again, assuming a steady state condition has arisen, this reduces to: S&1 ? m& ( s1 / s 2 ) − S& gen . (4) Where S&1 is the rate of entropy transport out of the control volume by virtue of the heat
AC 2009-35: STARTING FROM SCRATCH: A SUMMARY OF EXPERIENCES INTHE FIRST YEAR OF THE COLLABORATIVE ELECTRICAL ENGINEERINGPROGRAM BETWEEN MISSOURI UNIVERSITY OF SCIENCE ANDTECHNOLOGY AND MISSOURI STATE UNIVERSITYRobert Egbert, Missouri State University Dr. Robert Egbert is Professor of Electrical Engineering at Missouri State University (MSU) in Springfield, MO. He received B.S., M.S., and Ph.D. degrees from the University of Missouri - Rolla (now Missouri University of Science and Technology - Missouri S&T) in 1972, 1973, and 1976, respectively. He has industrial experience with Black & Veatch Consulting Engineers in Kansas City and MKEC Engineering Consultants in Wichita, KS. He was a member
engineerAbstractIn the fall of 2004 a college with five undergraduate academic programs decided to integrateservice-learning (S-L) projects into required engineering courses throughout the curriculum sothat students would be exposed to S-L in at least one course in each of eight semesters. Theultimate goal is to graduate better engineers and better citizens. Four of the degree programshave achieved on average one course each semester, with an actual coverage of 103 out of 128semester courses, or 80% coverage over the four years. Of the 32 required courses in theacademic year that had an average of 753 students each semester doing S-L projects related tothe subject matter of the course, 19 of the courses (60%) were considered engineering science,that is, not
AC 2009-1328: A NEW ELECTRICAL ENGINEERING LABORATORY FACILITYCOMBINES TRADITIONAL LABORATORY EXPERIMENTS,COMPUTER-BASED LAB EXERCISES, AND LABS TAUGHT VIA DISTANCERobert Egbert, Missouri State University Dr. Robert Egbert is Professor of Electrical Engineering at Missouri State University (MSU) in Springfield, MO. He received B.S., M.S., and Ph.D. degrees from the University of Missouri - Rolla (now Missouri University of Science and Technology - Missouri S&T). He has industrial experience with Black & Veatch Consulting Engineers in Kansas City and MKEC Engineering Consultants in Wichita, KS. He was a member of the faculty of the Department of Electrical and Computer Engineering at
Engineering. His current research interests include computational modelling and simulation, e-Learning, transportation, air-transport systems, aeronautical engineering, robotics, and embedded systems. Page 14.999.1© American Society for Engineering Education, 2009 Qualification and Assessment Requirements for Simulation-Based Electrical Engineering EducationAbstractModeling and Simulation (M&S) is a discipline for developing an understanding of theinteraction of the parts or of a whole system. The level of understanding developed usingM&S is rarely achievable using other disciplines. However
show the variable substitution in an equation, enter “[ctrl sft .] explicit,ALL”.(The three keystrokes in the brackets are pressed down at the same time. No spaces areincluded in the command line.) This can also be done using the Symbolic window by typingthe name of the variable being solved, clicking on “explicit” in the symbolic window, andthen typing “,ALL”. Example 2 in the Appendix uses “explicit,ALL” in the solution asshown below: PA := SGoil⋅ρ water⋅g⋅h ⎡ P.A explicit, ALL → 0.86⋅⎢998⋅⎜ ⎛ kg ⎞⎤ ⋅⎡9.81⋅⎛ m ⎞⎤ ⋅( 2⋅cm) 3 ⎟⎥ ⎢ ⎜ 2 ⎟⎥ ⎣ ⎝ m ⎠⎦ ⎣ ⎝ s ⎠⎦The gravitational
. kg Qa∧ Ca − S1 − Qb ∧ C b − S3 − S5 / Qd ∧ C 5 / Qc∧ C3 ? 0 s The carbon monoxide contributions from each area are reasonable in that they add up to 100 %. smoker − grill − intake ? 100 ∧ % Page 14.65.9 Figure 2. Concluded.Problem 1 . Given : Consider the water heater problem shown below. The thermostat setting for turning the heaters off is 130 F. Assume a water flowrate demand of 2gpm starting 100 minutes after turning on the heaters and the same
EnvE sub-discipline areas, state their own area(s) ofgreatest interest, and identify an employer in this area and a project they have worked on usingthe Web as a resource. Students could use the BOK to help them define EnvE and answer otherquestions on this assignment. Later in Homework 4 the students plot out a course plan tograduation that meets the requirements for the EnvE B.S. degree at the University of Colorado atBoulder. The student then mapped these courses in their 4-year EnvE degree plan onto theABET criteria for engineering and program-specific criteria for EVEN. This indicated if thecoverage of the required content in our curriculum was obvious to the students or not
“The practice of gaining supervised practical experience is nothing new” [1]. Internshipsas part of a formal education program can trace its roots back to the Middle Ages where it wascommon practice to learn a trade under the direct supervision of a master craftsman. Apprenticesoften had to agree to “pay back” their employer by agreeing to work for a certain period of timeonce they were considered fully trained. In the early days, most, if not all of the training wasdone on the job, with little formal theoretical education. By the early 1900’s, experiential learning had established itself at institutions of highereducation in several fields. The clinical training programs for medical students were recognizedas a key component in
. Figure 3. Block diagram and SIMULINK model for the 1DOF systemAssume the mass of a printed circuit board (“PCB”) board M is 25 gram and the spring constantK is 40 N/mm. The input half-sine function is defined by the JEDEC standard as peakacceleration A0 is 1500 Gs and time duration ϖ is 0.5 milliseconds. With these parameters definedin the MATLAB/SIMULINK model, the input pulse and system dynamic response for the outputdisplacement and acceleration are obtained in Figures 4-6. The horizontal axis is time (s) and thevertical axis is the input excitation corresponding to Gs, displacement (m), and acceleration (Gs),respectively. The output displacement oscillates up and down with the same peak value
key enzyme in NAD+ regeneration, the glycolytic flux shifts from homolactic to mixed acid fermentation with the redirection of pyruvate towards production of formate, acetate, ethanol and carbon dioxide. A mathematical model of the pyruvate metabolism pathway that enhances our understanding of ethanol production was developed from in vivo nuclear magnetic resonance (NMR) time series measurements that describes the dynamics of the metabolites in L. lactis. An S-system model based on the power law representation was able to capture the observed dynamics of the pyruvate metabolism pathway in L. lactis in vivo. The model provides insights into the maximization of selectivity
equilibrate between temperature readings.Analysis:The heat diffusion equation for one dimensional, steady state conduction with constantthermal conductivity is as follows: 1 3 1T 5 1 2T 7k 8 = 0 2 2 = 0 1x 4 1 x 6 1xThe general solution is as follows.T(x) = C1 x + C2Boundary conditions are determined from the student’s experiment. The followingexample uses data for a polycarbonate block 1 cm thick. Polycarbonate was chosenbecause its glass transition temperature is about 150oC and therefore it won’t soften ormelt on the mug warmer surface.T(0) = Tw,s 1 T(0) = 122 o C and T(L) = Tp,s 1 T(0.01m) = 88.8 o CThe particular solution is in symbolic and numeric form: T 1TT(x) = p,s w,s x + Tw,s
. IntroductionWiMAX has been standardized by IEEE 802.16 standards for broadband wireless accesssystems, moreover it has been also adopted by ITU as one of the IMT-2000 technologies inNovember 2007.802.16c addressed primarily the line of sight (LOS) environment at frequencybandwidth of (10-16 GHz) .WiMAX bandwidth is assumed to be 70 Mbit/s over 31 miles[1].To provide such data rates requires higher capacity backhaul networks. If we look at thebackhaul networks presently providing services for conventions wireless networks. They do nothave enough capacity to provide the required bandwidth for WiMAX access points.Clever utilization of twisted pair has given some consumers network access of 128 Kb/S to 2.3Mb/S even though most access of this kind through
learning about stereo amplifier operation in order to test, troubleshoot,repair, and in some cases upgrade the equipment. Moreover, we are a satellite campus2 andkeeping our equipment and facilities up to date is always a difficult challenge. As such, evenused equipment is often attractive.Periodically, customers who sent equipment to this company for repair decided it was better toreplace their old amplifier(s) with new ones rather than pay the sometimes fairly expensive repairbill. Thus, this local employer proposed donating some of these old amplifiers, along with theparts needed for repair, and letting us repair and use them. In addition to returning them toservice as amplifiers, it is also straightforward to convert them into fairly high
and figuresprovided and mostly open white space that allowed for student work and student + instructorwork. A sample of blank note slides is provided in Figure 1. Page 14.1374.3 Root Locus – Controller Design R (s ) + 1 Y (s ) s ⋅ (s + 4 ) ⋅ (s + 6 ) K
: W ? bhL τ g (3)Where τ is the mass density and g ? 9.81 m s 2 .The problem is one of multi-objective optimization, namely, the simultaneous minimization ofυm and W , with b and h as design variables.Several interesting and informative points arise at this juncture. The aim here is to raise somequestions, and answer some of them, that should expand student horizons and make them moreaware, in particular, of some design issues. 6 PLLet f1 ( … bhL τ g ) be the weight objective function and f 2 ( … ) be the stress objective
: Neural Networks, ART, FAM, GFAM, GEAM, Hybrid, Genetic Algorithm I. INTRODUCTIONTHE Adaptive Resonance Theory (ART) architecture was developed by Grossberg (1976) [1].In 1992 Mr. Carpenter developed a Neural Network (NN) called Fuzzy ARTMAP (FAM) [2].FAM architectures became very popular and were used in the literature to successfully solvemany classification problems. Researchers then developed other ART NN‟s such as EAM [5]and GAM [6] that used different category representations to attain better performance and toreduce the effect of a phenomenon called Category Proliferation (CP) (Creating extra categoriesfor better performance especially when used with noisy data). The authors noted that FAM,GAM and EAM