. Page 2.100.7 7[2] Michael Mills' quotation from Bedworth, D., Henderson, U., and Wolfe, P. M., Computer Integrated Design and Manufacturing, McGraw-Hill, 1991.[3] NCMS Members Share New Training Models", R. Lang. FOCUS National Center for Manufacturing Sciences, pg. 4, August, 1991.[4] Okamura, S., “Engineering Education in Japan,” International Journal of Engineering Education, Vol. 9, No. 1, pp. 6-15, 1993.[5] Yamazaki, K., Miyazawa, S., “A Development of Courseware for Mechatronics Education,” International Journal of Engineering Education, Vol. 8, No. 1, pp. 61-70, 1992.[6] El Maraghy, Hoda A., “Computer Integrated Manufacturing Education and Research
two-day event. These principles,applied since the 1950’s in industry, were presented by Motorola Inc. Motorola is internationally Page 2.114.3known for CQI and they have joined Purdue as a partner in the Excellence-21 campaign. The 3two-day conference was followed by a year long implementation phase, where the principleswere disseminated and applied to all facets of the university’s operation. Each unit on campuswas responsible to define, implement, and report on at least two CQI initiatives during the 1996calendar year. For academic units, at least one of the projects had to focus on
for all the criteria in the rows of the matrix. It is important to compare the new concepts only to the datum not to each other. A simple GO/NO-GO evaluation is made using the following criteria: + (Plus) = this concept is clearly better than the datum S (Same) = this concept is about the same as the datum - (Minus) = this concept is not as good as the datum6. Only when all the concepts have been evaluated relative to the datum, should the concept ratings be tallied. The + is a + 1, the - is a - 1, and the S is a. The algebraic sum of the ratings for each concept should be entered in the row marked “Concept Rating”.7. If a single concept does not appear to clear # 1
. Page 2.146.8"Smart Products - A Tool for Mechatronics Education", Sema E. Alptekin, Proceedings of International Conference on Recent Advances in Mechatronics - ICRAM'95, Volume I, pp: 288-292.Auslander, D.M. , Hanidu, G., Jana, A., Landesberger, S., Seif, S., Young, Y., "Mechatronics Curriculum in the Synthesis Coalition", Proceedings of 1992 IEEE/CHMT International Electronic Manufacturing Technology Symposium, Baltimore, MD, Sept. 1992, pp: 165-168.Carryer, E., "Proceedings of the Workshop on Mechatronics Education", Stanford University, July 21-22, 1994. This document is also available on WWW at: http://www.synthesis.org/Mechatronics-Workshop/ (Carryer 1994-1).Carryer, E., "The Design of Laboratory Experiments and Projects for
. Higher samplingrates such as 44.1 kHz for audio applications can be achieved, although not to TI's specifications.It has two inputs and connects to the serial port on the C31. It includes a switched capacitorinput filter for antialiasing (by-passable) and output reconstruction filter. All the C31 pins, theAIC I/O pins, and power are available through expansion connectors on the DSK board, whichprovides four 32-pin DIL footprints. This allows for additional circuitry such as external SRAMand flash memory, and alternative ADC converters which been connected to the C31's serial port.The assembler provided with the DSK does not create a common object file format (COFF). Aprogram in C (or assembly) can be compiled/assembled and linked to create an
Served1 Estimated rates of eligibility are also calculated for each group to the California State University system which is mandatedto calibrate its admissions criteria such that only the top 1/3 of public high school graduates achieve eligibility. The MESApre-college programs promote among students the attainment of full eligibility to the UC system, not because students areexpected to enroll at UC, but because this requires a higher level of academic preparation for study, thereby increasing thatstudent’s chances for success at whatever institution the student selects.2 Until the late 1980’s it was common practice to describe enrollment goals in terms of increasing the percent of studentsfrom group x to some higher percent. One outcome of
DFrolich (eds.) Computers and Conversations, New York: Academic Press, pg. 175.4 Patricia Sachs (1995), “Transforming Work,” Communications of the ACM 38 (September), pg. 36.5 Tom Dayton et al.(1993), “Skills Needed by User-Centered Design Practitioners in Real Software DevelopmentEnvironments,” SIGCHI Bulletin, pg. 18.6 Andrew Dillon (1996), “TIMS: A Framework for the Design of Usable Electronic Text.” In H. van Oostendorpand S. de Mul (eds.) Cognitive Aspects of Electronic Text Processing. Norwood, NJ: Ablex, 99-119.6 Andrew Dillon (1996), “TIMS: A Framework for the Design of Usable Electronic Text.” In H. van Oostendorpand S. de Mul (eds.) Cognitive Aspects of Electronic Text Processing. Norwood, NJ: Ablex, 99-119
presented here was done bythe small office team approach and will demonstrate a full range of design opportunities that canoccur during the process.The design team approach has another benefit. The idea of the designer as an artist has been anaccepted one for many years, as aesthetic fixations have focused mainly on style and form giving.With the design team approach the designer cannot work in a vacuum, isolated from social,technical, economical and mundane responsibilities. The design can then evolve from anexclusive process to an inclusive process involving people, discussions, events, problems, ideasand solutions.41 Chinowsky, P. S. and Robinson, J., “Enhancing Civil Engineering Education Through Case Studies,” ASEEJournal of Engineering
. Page 2.272.3The mastery of the LabVIEW paradigm does, however, require a significant learning curve, andit is unrealistic to have students develop LabVIEW programs from low-level elements whilesimultaneously trying to understand the implications of F=Ma. Consequently we developed anumber of VI's (LabVIEW elements, and programs are commonly referred to as VirtualInstruments, or VI's) that students could use and that required a limited amount of "wiring" tocreate a complete data acquisition program. The modules developed were: i) A VI to acquire data from a photo gate detector. The VI computes the time(s) between theon/off (and off/on) transitions of a photo gate as it is interrupted. If the interruption is due toequally spaced pickets (on a
(Raich and Cinar, 1994).Singular value decomposition (SVD) provides a computationally efficient method for PCA. Anym x n matrix A of rank r can be decomposed into the following form (Strang, 1988): A = u1s1vT1 + u2s2 v T2 +... +ur sr vTr ( s1 ≥ s 2 ≥...≥ sr > 0)where si (i = 1, 2, ..., r) are positive scalars in descending order, ui (i = 1, 2, ..., r) are m x 1orthonormal vectors and vi (i = 1, 2, ..., r) are n x 1 orthonormal vectors. The first f terms of theabove decomposition provide the best approximation to A with f principal components.PCA is a linear technique in the sense that it uses linear functions to model relationships between
began in the 1940’s when many of theseresearch universities volunteered to join forces with the government to fight the war. The Officeof Scientific Research and Development was formed in 1940 and monetary support began to flowfrom the government to universities.6 Higher education and government had, through scientificcollaboration, changed the course of history and the marriage has matured with time. In 1947Harry S. Truman appointed a President’s Commission on Higher Education and almost overnightthe mission of higher education in the nation was dramatically redefined. The commissionstated, “America’s colleges and universities should no longer be merely the instrument forproducing an intellectual elite. Higher education must become the means
industrial participants in differentengineering disciplines. Success in the multidisciplinary environment is achieved by establishingfamiliarity with the engineering design process through an individual project. AcknowledgmentsThe authors would like to acknowledge the numerous contributions made by the engineeringdesign students and the other faculty and staff of the Hope College Physics Department andEngineering Program. Bibliography1.) Dutson, A. J., Todd, R. H., S. P. Magleby, and C. D. Sorensen, “A Review of Literature on TeachingEngineering Design Through Project-Oriented Capstone Courses,” Journal of Engineering Education, vol. 86, no. 1,1997, pp
. Page 2.299.8 Table 3: Actual Time (in Secs.) to Load Shockwaved SectionsComputer Model: Quadra 950 Quadra 950 Power Mac Power Mac Pentium Pentium (server) 7100/800 7500/100 90 166O/S; Software: Mac7.5.3; Mac 7.5.5; Mac7.5.5; Mac7.5.5; Win95; Win95; Nav. 3.0 Nav. 3.0.1 Nav. 3.0 Nav. 3.0 Expl3.0 Nav. 3.0.1RAM (Mb): 24 20 16 (+17 vir.) 32 (+1 vir.) 16 16NOT CACHEDTiming Sections: I 10.2 10.8
participate in the course through (1) mandatory class attendance, (2) requiredinstead of voluntary recitation attendance, (3) required “extra credit” homework assignments, (4)peer-related help groups and (5) a mid-term report card of performance in the course. Finally,hypothesis testing showed that there was no significant difference between final weighted scores Page 2.302.8in morning versus afternoon sections (1993-1996) that were taught by different instructors. Reference1. Callen, W. R., S. M. Jeter, A. Koblasz, J. T. Luxhoj, C. S. Park, H. R. Parsaei, W. G. Sullivan and G. J. Thuesen
Page 2.305.1element. The processing elements first sums the values of the inputs applied to it and then takesthe resulting Figure 1: Neural Network Topologyvalue and transforms it with the sigmoid function. The sigmoid function is given by 1/(1+e-s)where s is the sum input to the element. The resulting value is the output of the processingelement. The connections between processing elements each have independent coefficientscalled weights. This weight amplifies, attenuates, and can change the sign of the signal sent overthe connection.To calculate an output value, input values are placed in the input processing elements. Newvalues are calculated by these processing elements and then multiplied by the appropriate
; Circuits Electronic Dircuits(take 3 of 4) EE 447L Mixed signal electronic circuits EE 448 Electronic circuits II EE 478L Digital electronic circuit design EE 479L Introduction to integrated circuit design Integrated Circuits EE/MS 438L Processing for microelectronics EE 448Electronic circuits II EE 477L MOS VLSI circuit designHANS H. KUEHLHans H. Kuehl received his B. S. from Princeton University and his M. S. and Ph. D. from the California Institute ofTechnology, all in Electrical Engineering. He has received the USC Associates Award for Teaching Excellence, thehighest teaching award at the University of Southern California. His research interests include
. Wolfram, S. 1991. Mathematica, A System for Doing Mathematics by Computer. Addison- Page 2.326.6 Wesley Publishing Co., Reading, Massachusetts. 961 pp. 6EVANGELYN C. ALOCILJADr. Evangelyn C. Alocilja is Visiting Assistant Professor in the Biosystems EngineeringProgram, Department of Agricultural Engineering, Michigan State University (MSU). She holdsa B.S. in Chemistry (cum laude) and an M.S. in Soil Science from the Philippines, and bothM.S. and Ph.D. degrees in Systems Science from the Department of Electrical Engineering atMSU. She has
United Kingdom reached its nadir in the early 1980’s. Acombination of high domestic inflation, economic recession through fiscal policies, andindustrial unrest by organised labour, resulted in business closures across the wholemanufacturing spectrum. As a consequence, market share was lost both at home andoverseas, which was quickly filled by external suppliers.A combination of new industries and new manufacturing philosophies, plus theunderstanding that change was inevitable, became the catalyst for new attitudes and workpractices in the United Kingdom. Kaizen1 (pronounced Ky’zen) is a term which is wellunderstood in the UK, both by the manufacturing population and by manufacturingmanagement alike. This modern workforce, which builds change on
emergence of radar, advanced controls, and computers.Soon there was the development of television and discrete electronics. Each advance broughtnew material to be included in the curriculum. As electrical engineering expanded, the need forall students to study all subjects within electrical engineering was debated. A feeling developedthat a large portion of the students would never need or use some of the more traditional material.It ceased to be relevant to the students' careers. Pressure was applied to cut some of these moremature topics. Energy conversion lost out.Since the late 1970's we have experienced rapid changes within the energy conversion field withthe advent of power electronics and wide spread use of permanent magnets. There has been
Operating System Application Programming Manual, Santa Barbara: SPECTRON Microsystems, 1990.[2] A. V. Oppenheim and R. W. Shafer, Digital Signal Processing,nglewood Cliffs: Prentice Hall, 1975.[3] J. S. Lim and A. V. Oppenheim, Advanced Topics in Signal Processing, Englewood Cliffs: Prentice Hall, 1988.[4] K. S. Lin (Editor), Digital Signal Processing Applications with the TMS320 Family, Dallas: Texas Instruments Incorporated, 1986.[5] R. Chassaing and D. W. Horning, Digital Signal Processing Laboratory using the TMS320C25, Englewood Cliffs: Prentice Hall, 1990.[6] P. A. Lynn and W. Fuerst, Digital Signal Processing with Computer Applications, New York: John Wiley & Sons, 1990. B. W. Kernighan and Dennis M
capable of maintaining steadytrimmed flight without external control input. The control system consists of six integrated circuit(IC) accelerometers, aMotorola M68HC11 microcontroller and five Futaba S-148 servo motors. The sixaccelerometers are used to sense rotation as well as translation in each of the three spatialaxes. The accelerometer provides a digital waveform of variable pulse density suitablefor input to a pulse counter. The signal generated by each accelerometer is fed into acounter that is multiplexed onto a single bus via tri-state outputs. The microcontrollerreads each counter by enabling the output of one counter at a time and sampling the valueon the counter bus. The microcontroller samples the contents of each counter
still very high5. The mostcommon metrics used for student retention are the freshman retention rate and graduation ratesfor a freshman class after five years. The graduation rate for underrepresented minority students,namely African Americans, Hispanics and Native Americans, is much lower than that of non-minorities. The average graduate rate of underrepresented minority students for the freshmanclasses that entered a sample of 112 institutions between 1986 and 1989 was 35.0 percent (alldisciplines). ASU was not included in this sample because graduation rates are very sensitive toan influx of transfer students and ASU has a high percentage of transfer students. This rate hasremained the same as for students graduating in the 1980’s. However
. Broad hints fromthe teacher see to that.In addition to helping the students, this tool is also a good diagnostic tool for the teacher toevaluate his or her performance. In a recent class being taught for the first time, the first midtermwas, to put it bluntly, disastrous. The curve of knowledge revealed by the spreadsheet showed asmany students in the 90’s as were in the 30’s, with few in between. Responsibility lay largelywith the instructor’s expectations. Methodology developed at one school did not translate well to Page 2.468.5another with a different student population and subject area. The grade curve was very
object-oriented(OO) programming language offering OO capabilities such as data abstraction, encapsulation,polymorphism, and inheritance2. Object-oriented programming makes it possible to write robust,modular code which is easily modified and extended. Java was designed to be syntacticallysimilar to C++, which is currently the most popular OO language. However, it was designed to besimpler to learn than C++, and thus removes many of C++’s shortcomings which make it complexand confusing. In addition, Java adds many of the better object-oriented features available in otherobject-oriented languages which are missing in C++. The most notable enhancements are theelimination of pointer-arithmetic, and the addition of automatic memory management
criteria, whose values are generally computable by application of engineering science principles...[D]esign evaluation must include cost, manufacturability, marketing, and other factors in addition to the functional and technical issues that can be analyzed using engineering science...By limiting design education to technical design issues, we omit the rest of the engineering design process...[S]tudents learn very little about the current methods used in industry to apply the principles of these engineering sciences in real design or analysis situations.” (Dixon, 1991)The goal of the life-cycle engineering class is to teach students the tools and methodologiesnecessary to perform this more complete design evaluation.1.2 Life-cycle EngineeringLife
of the essays varies,we have identified several problems:• Topic: Students have problems choosing a topic(s) for their learning essays. They are unfamiliar with this format of writing and they feel uncertain about what topics are appropriate.• Structure: Students have problems knowing how to structure the essay. Although the faculty have traditionally described the activity to the students in the class and given them examples, the students still are uncertain about how to structure the essay.• Role: Students do not always understand the role of the essay. Coming from an environment where most learning is measured by test scores and right/wrong answers, they have trouble understanding the value in writing about your
to read for theirparticular textbook. With the exception of software engineering and ethics, all course topicswere covered in each of the four textbooks in significant detail; therefore, students had enoughreading material to study from regardless of the programming language class to which they wereassigned. WEEK TOPIC(S) 1 Introduction to Computers, Elementary Programming Concepts 2 Conditional Programming 3 Programming with Loops 4 Subroutines, Scope of Variables 5 Data Types, Programming with Files 6
Session 1692Analysis of Men and Women Engineering Students at Ohio State J a n e M . F r a s e r , Dina R. Ismail Ohio State UniversityIntroductionEngineering mythology describes the dean who greets the entering engineering class bysaying: “look to your left and look to your right; only one of the three of you will make itthrough this program.” Whatever the truth of the mythology or whatever the motivationthis mythical dean might have in so greeting the class, the story highlights the enormousattrition that engineering programs have.Another part of the mythology has been, however, that some part of that
, respectively. In doing the work, the student learned about crosssection libraries, cross section multigroup structure, general principles of the S Nmethod, and phantom modeling for a deterministic transport code. The results ofthis project were not impressive, but the student learned a lot and continued tograduate school.Project 3: “ A study of the semiempirical equations for the dose rate outside ashielded cylindrical volumetric gamma source”. The student used the code QAD as the basis of checking the accuracy of Page 2.403.4the semiempirical equations given in the Engineering Compendium for RadiationShielding [4] . He also checked the various formulae
the Dept. of Civil and MechanicalEngineering at the U. S. Military Academy, West Point, and is a registered professional engineer in Virginia. Hegraduated from USMA in 1979 and received his Ph.D. from Lehigh University in 1991. He has taught courses instatics and dynamics, mechanics of materials, steel design, reinforced concrete design, and structural systems.COLONEL KIP P. NYGREN is Professor and Head of the Department of Civil and Mechanical Engineering at theUnited States Military Academy. He graduated from the United States Military Academy in 1969. He holds aDoctor of Philosophy in Aeronautical and Astronautical Engineering from Georgia Institute of Technology.CHRISTOPHER H. CONLEY completed his Ph.D. degree at Cornell University in