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
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
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
. 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
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
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
engineering or relevant field, be California licensed structural engineer (S.E.) with at least ten years experience as a structural engineer.Currently in ARCE department, of the thirteen full time faculty members, (a) three have Ph.D.’s, (b) five have Ph.D.’s and are California licensed P.E.’s., (c) three have MS and are California licensed S.E.’s and (d) two have Ph.D.’s and are California licensed S.E.’s.This shows that, with seventy seven percent of the faculty licensed P.E.’s in California and thirtyeight percent licensed as California S.E.’s bring the environment of the consulting engineer tothe ARCE program. This human resource data is an envy of any structural engineeringconsulting company. The faculty in the
graduation on designingthese types of projects.IntroductionMasonry construction dates back as early as man’s civilization when cut stone was used to buildpyramids. Burned clay bricks have been in use for a long time and use of grouted brick masonrydates in the U.S.A. as far back as in the 1860’s. Laws governing construction with masonry goesback to the 18th century with the Code of Hammurabi; “If a house collapses and kills the owner’sson, the son of the builder shall be put to death”. To date, design and construction requirementsfor masonry structures are specified in the International Building Code which references the Page 14.718.2MSJC.In
number of universities beyond Oregon State University to develop evidence of the portability and generalizable use of the virtual laboratory instructional materials. Table 2 lists the institutions that have used the Virtual CVD laboratory remotely. Table 2. Summary of experimental activity of the Virtual CVD Laboratories outside OSUClass Term Students Groups Runs Measurements Virtual CostU Oregon Su 06 11 3 40 538 $240,350U Oregon Su 07 10 3 57 610 $330,750UC Berkeley S 07 25 25 96
2Solution Page 14.929.5To find the damped natural frequencies of the system one sets: ms 2 + (c1 + c 2 ) s + k1 + k 2 (c 2 l 2 − c1l1 ) s + k 2 l 2 − k1l1 det 2 2 2 2 2 = 0. (c 2 l 2 − c1l1 ) s + k 2 l 2 − k1l1 Js + (l 2 c 2 + l1 c1 ) s + l 2 k 2 + l1 k1 With the aid of MATLAB and using given system’s parameters, one finds the followingdamped natural frequencies with their corresponding damping ratio and naturalfrequencies. ωd 1 = 4.9676rad / s
were essentially viscously damped, with amaximum discrepancy between theory and experiment of 5% 6. The motion of that sphere isbeing used here as a convenient reference with which that of the golf ball can be compared.Table 2. Sample experimental data for two spheres Metal Metal Golf Golf Time(s) x(cm) Log(x) x(cm) Log(x) 0 1.94 0.662688 1.875 0.628609 25 1.645 0.49774 1.525 0.421994 50 1.4 0.336472 1.3 0.262364 75 1.3 0.262364 1.1 0.09531 100 1.15 0.139762 0.93 -0.07257 125 1.01 0.00995 0.775 -0.25489 150 0.905 -0.09982 0.675 -0.39304 175 0.875 -0.13353
government beginning in the 1960s and secured the technologicalsuperiority of the United States during the latter part of the 20th century.America was once again shocked into reassessing the adequacy of our future science andengineering (S&E) workforce after the September 11, 2001 terrorist attacks. That self-examination, and the need to put more people to work on technical solutions to the problems ofterrorism, war, and national security, led Congress to authorize the Department of Defense tocreate the SMART (Science, Mathematics, and Research for Transformation) pilot programunder the Ronald W. Reagan National Defense Authorization Act (NDAA) for Fiscal Year 2005.The immediate positive response to the SMART program prompted Congress to make
highlyexpressive and widely used in formal verification tools such as the model checkers SPIN [8] andNuSMV [2] . LTL is also used in the runtime verification of Java programs [18]. Formulas in LTL are constructed from elementary propositions and the usual Boolean operatorsfor not, and, or, imply (¬, ∧, ∨, →, respectively). In addition, LTL provides the temporal operatorsnext (X), eventually ( ), always (✷), until, (U), weak until (W), and release (R). These formulasassume discrete time, i.e., states s = 0, 1, 2, . . . The meanings of the temporal operators arestraightforward1 • The formula Xp holds at state s if p holds at the next state s + 1, • p U q is true at state s, if there is a state s ≥ s at which q is true and, if s is such a state, then
green technology jobs. Given these goals, it is important that SJSU contribute notonly research and development but also well-educated graduates to advance the cause of thisimportant endeavor.At the state level in California, energy research will be accelerated by state law AB 32. AB 32mandates aggressive standards for emissions in California by 2020. Economists have found that,in order to meet AB 32’s goals, businesses will generate tens of thousands of new jobs forCalifornia2. According to a World Wide Fund for Nature study3, California is expected to gainover 140,000 new clean tech jobs by 2020. Along with new jobs, Californian industries willinvest heavily in research and development efforts in renewable energy.When it comes to developing
(2) I SWhere S = I/ym, which is also known as the sectional modulus of the cross section. Page 14.1046.4If we denote the cross-sectional area of the beam as A and the aspect ratio by , then wehave, A bd (3a ) b/d (3b)We also have, ym d / 2 (3c)The quantity S = I/ym the section modulus can be written in terms of the quantities A and as: I A3 / 2 S (4) ym 6 1 / 2Now we
shows atwo dimensional computer-aided design drawing of the retailer station drawn in AutoCADsoftware. The drawing was plotted on an ANSI D- 22 x 34 in. (landscape layout) size paper andthen laminated. There is one laminated retailer layout for each of the groups that play the beergame in class. One player in each group is assigned to the retailer stage to role play this supplychain partner. The end customer is the retailer’s customer and is the source for the orders of beerat the retailer station. Once the retailer fills the end customer’s order, s/he sends another order tothe wholesaler.Figure 1. Drawing of the retailer station. The wholesaler is the retailer’s supplier and therefore is the next partner in the supplychain layout of