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1998 Annual Conference

Authors

V. Waheed; V. Nallaperumal; S. A. Chickamenahalli

Session 2259 LABVIEW BASED ELECTRIC MACHINES LABORATORY INSTRUMENTATION S. A. Chickamenahalli, V. Nallaperumal, V. Waheed Wayne State University/Wayne State University/Patti EngineeringAbstract This paper presents an innovative instrumentation project that consisted of interface of adc motor-generator set to an IBM PC using National Instruments Data Acquisition (NIDAQ)tools and display of experimental data using LabVIEW software. The goal was to achieve real-time measurement and display of experiment waveforms on the PC screen and store thesewaveforms for later use in reports, illustrations

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1998 Annual Conference

Authors

S. Pennell; R. Worcester; R. Stone; Mustafa Guvench

Session 2259 Programmable PID Temperature Control of Multi-Tube Multi-Zone Diffusion Furnaces M.G. Guvench, R. Stone, S. Pennell and R.Worcester University of Southern Maine AbstractThis paper describes the design, operation and performance results obtained with a programmabletemperature and gas flow controller designed to control a multi-tube multi-zone diffusion system. The systemwas built and used for 4” silicon wafer processing at University of Southern Maine’s MicroFabricationlaboratory. The diffusion furnace

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1998 Annual Conference

Authors

Linda Hardymon; Katherine Mathis; Ahad S. Nasab; Saeed Foroudastan

Session 2633 Energy Conservation in Existing Commercial Buildings Saeed D. Foroudastan,. Katherine Mathis, Ahad S. Nasab, Linda Hardymon Middle Tennessee State University Abstract Old, outdated buildings with inefficient electrical and mechanical systems pose aproblem for owners because of the expense of turning them into energy conserving, healthy, andregulation compliant facilities. The technology is available to make the needed improvements,but financing is usually a problem. The answer to those facing the expense of makingimprovements that can

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1998 Annual Conference

Authors

S. Cem Karacal; John A. Barker; Jacob Van Roekel

Session 2553 Experiences with A Freshman Engineering Problem Solving and Reasoning Course S. Cem Karacal, John A. Barker, Jacob Van Roekel Mech.& Ind. Eng./ Philosophical Studies/ Mech. & Ind. Eng. skaraca@siue.edu/ jbarker@siue.edu/ jvanroe@siue.edu Southern Illinois University, Edwardsville, IL 62026ABSTRACTThis paper describes our experiences with a new freshman-level engineering problem solvingcourse jointly designed by the School of Engineering and the Department of PhilosophicalStudies. The main objective of the course is to incorporate

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1998 Annual Conference

Authors

Katherine E. Scales; Michael S. Leonard; Donald E. Beasley

Session 3257 Planning for Curriculum Renewal and Accreditation Under ABET Engineering Criteria 2000 Michael S. Leonard, Donald E. Beasley, Katherine E. Scales, Clemson University and D. Jack Elzinga University of FloridaAbstractThis paper presents a set of integrated methodologies for the enhancement of engineeringacademic programs and for preparation for accreditation review under ABET EngineeringCriteria 2000. The Curriculum Renewal Methodology builds on a

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1998 Annual Conference

Authors

Kenneth Miller; Jeffrey Morehouse; Edward Young; David Rocheleau; Jed S. Lyons

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1998 Annual Conference

Authors

Ravi G. Mukkilmarudhur; Homayun K. Navaz; Brenda S. Henderson

Session 1602 Bringing Research and New Technology into the Undergraduate Curriculum: A Course in Computational Fluid Dynamics Homayun K. Navaz, Brenda S. Henderson, and Ravi G. Mukkilmarudhur Kettering UniversityAbstractAs technology advances in the industries which graduating engineers wish to enter, technology inthe undergraduate curriculum must also advance. A course in computational fluid dynamics wasrecently developed which meets the challenge of bringing advanced topics to undergraduatestudents. This paper addresses techniques used to enable undergraduates to enter the work forcewith the ability to solve and

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1998 Annual Conference

Authors

S. A. Mandayam; R.P. Ramachandran; A. J. Marchese; Robert P. Hesketh; Ralph A. Dusseau; John L. Schmalzel; Kauser Jahan

Session 1326 Engineering Measurements in the Freshman Engineering Clinic at Rowan University K. Jahan, R.A. Dusseau, R. P. Hesketh, A. J. Marchese, R.P. Ramachandran, S. A. Mandayam and J. L. Schmalzel Rowan UniversityAbstractAll freshmen engineering students at Rowan University are introduced to engineeringexperiments and calculations through a series of modules in measurements. The primary goal ofthis course is to expose freshmen engineering students to multidisciplinary projects that teachengineering principles using the theme of engineering measurements in

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1998 Annual Conference

Authors

Surya Kalidindi; Philip Perdikaris; John Lannutti; John DiNardo; Gary Ruff; Charles McMahon; Jed S. Lyons; Alan Lawley; Linda Schadler

Diagrams was developed by Dr. Jed S. Lyons, Department ofMechanical Engineering, University of South Carolina. In this video-based module, castings aremade from aluminum-copper alloys. The effects of varying the alloy composition are discussedwith respect to the equilibrium phase diagrams. The video and handout material includessufficient detail to be used as a virtual laboratory experiment. Showing the 8-minute video in theclassroom can also serve to motivate students to study phase diagrams. Figure 2 contains framesfrom the major sections of the video.Figure 2. The Casting and Phase Diagrams video module combines industrial-style foundryoperations with quantitative laboratory measurements. Demonstrated are the processes of makingalloys from pure

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1998 Annual Conference

Authors

Melissa S. Goldsipe; Martha J.M. Wells; Harsha N. Mookherjee; Dennis B. George; Arthur C. Goldsipe

Session 1461 Cooperative Learning: An Interdisciplinary Approach to Problem-Based Environmental Education Dennis B. George, Melissa S. Goldsipe, Arthur C. Goldsipe, Martha J.M. Wells, and Harsha N. Mookherjee Center for the Management, Utilization, and Protection of Water Resources/Department of Sociology, Tennessee Technological UniversityBeginning in the year 2001, engineering education programs in the United States seekingaccreditation will be evaluated according to Engineering Criteria 2000 developed by theAccreditation Board for Engineering and Technology 1. Outcome

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1998 Annual Conference

Authors

Susan M. Blanchard; John D. Enderle

. rd5. L. A. Geddes and L. E. Baker, Principles of Applied Biomedical Instrumentation, 3 Ed., New York: John Wiley & Sons, Inc., 1989. nd6. W. Welkowitz, S. Deutsch, and M. Akay, Biomedical Instruments: Theory and Design, 2 Ed., San Diego: Academic Press, 1992. Page 3.380.17. J. D. Enderle, S. M. Blanchard, and J. D. Bronzino. Introduction to Biomedical Engineering. Academic Press. In Press. Table 1: Chapters in Introduction to Biomedical Engineering Chapter Title

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1998 Annual Conference

Authors

Dushan B. Bilbija; Daniel J. Biezad

. Page 3.226.2 Response Locus MapThis is perhaps the most unique and most powerful tool of Archangel98. Below is a screen shotof the Response Locus Map form. Figure 2 – Response Locus MapThis tool is based on a correlation between two derivations of system residues. The first deriva-tion comes from a partial fraction expansion, and yields the following formula2: n xm ( s ) 1 1 1 = R1 + ... + Rn = ∑ Ri u ( s) s − λ1 s − λ n i =1 s − λ iThe second derivation comes from

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1998 Annual Conference

Authors

Michael D. Murphy; Kristen L. Wood; Daniel Jensen

(restructured) format for the course was compared with the previous format by viewingsurvey results from before and after the restructuring. The purpose of this feedback is todetermine if the restructuring of the course is perceived to be positive or negative by the students.Details of this part of the investigation are given below.For the second method of obtaining feedback, ratings for each individual lecture are separatedbased on whether the student had a sensing (S) verses intuitive (N) MBTI preference. Thesedata points were then examined to determine if there was a correlation between the S-type or N-type student’s rating and the specific content of that lecture. The four categories of lecturecontent used were 1) amount of “hands-on” , 2) quantity

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1998 Annual Conference

Authors

E. L. Gerber

pattern. The Maple plot statement with square brackets [ ] will plot one function againstthe other. One sine wave is at 2 r/s and the other is at 3 r/s. The Lissajous pattern (Fig.3) shows thatthe ratio of the number of vertical peaks (6) to the number of horizontal peaks (4) is the same as theratio of the two frequencies (3:2).> plot( [S1,S2, t=0..8] ); Page 3.398.4 Fig. 3. Lissajous Graph of S1 and S2.• Now let’s multiply the exponential term and the sine function, 6exp(-2t) * sin(3t), and plot theresults. The result (Fig.4) has a peak value of about 2.5. To find the exact value we use the Maplecommand “maximize”. We can also find

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1998 Annual Conference

Authors

L. Alden Kendall; Dianne Dorland

Page 3.319.3 LEV EL 1 Engineering G raphics Engineering M anage- Engineering Q uality P roduction P rocesses m ent C ontrol A u to c a d T opD ow n S P C S im A N O V A -T M S p r e a d s h e e ts M ic r o s o ft P r o je c t CA NVA S R obotics and Ergonom ics O perations R esearch A utom ation ErgoEA S E

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1998 Annual Conference

Authors

Randall A. Yoshisato

a y M o r e R e s o ur c e s M o re P ro d u c tiv e L e s s W a s te A d v is in g M o re S a tis fie d S o c ie ty M e n to rin g B e tte r C o m m u n ity Delay D Society D elay

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1998 Annual Conference

Authors

Bahman Motlagh; Alireza Rahrooh

rather long learning time. In order to reduce this time, a linearneuron is used in the outer layer and sigmoid neurons are used in hidden layers, respectively. Figure1 shows such a network (S is sigmoid neuron, and L is linear neuron). The required learning time isconsiderably reduced by accelerating the convergence rate and reducing the initial value of the norm Page 3.422.1of the error vector. To further improve the performance of the network the momentum algorithm is 12used in the network structure . This will smoothen the behavior of the network and will prepare itto tackle the effects of error bursting

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1998 Annual Conference

Authors

Thomas F. Schubert Jr.; Kathleen A. Kramer

exercises. [1] While mathematical simulationproved a very effective laboratory topic for communication systems, student (and instructor)knowledge of the particular mathematical simulation package, in this case Mathcad, became abarrier to some. Those students who were less adept in the use of Mathcad were forced to devoteas much effort to understanding the particulars of the tool as they were to understanding thesystems and principles they were attempting to simulate. Fourier Transform Exercises X( t ) cos( 5. ( 2. S. t ) ) 0.6. sin( 12. ( 2. S. t ) ) The function definition tstart 0 tstop 30

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1998 Annual Conference

Authors

John E. McInroy; Jerry Hamann; Raymond Jacquot

) x3(t) N S S N K2/2 Coil K2/2 X From Steam Generator Valve Page 3.213.2Figure 1. Thermal Chamber System to be ControlledThe governing differential equations for the temperature perturbations are dx 1 = −x 1 + x 2 dt dx 2 = x 1 − 2x 2 + 2 x 3 + w ( t ) (1) dt dx 3

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1998 Annual Conference

Authors

Edgar N. Reyes; Dennis I. Merino; Carl W. Steidley

population genetics, among them robustness andefficiency. Features of biological systems found in genetic algorithms include reproduction, self-guidance, self-repair, the nature of survival of the fittest, and variation through mutation. Geneticalgorithms were developed by John Holland of the University of Michigan in the 1970's. Many ofthe essential properties of genetic algorithms discussed in this paper can be found in [1, 2].When a genetic algorithm is used to find an optimal solution in the space of all feasible solutions,the algorithm maintains a population (or set) of feasible solutions which evolve through randomprocess based on principles found in the mechanics of natural selection and genetics. Each time thisset of solution evolves (or as

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1998 Annual Conference

Authors

Winfred Anakwa; Sean Gregerson; Robert Weber

output data y(t) are digitized by the AIB board and sent to theTMS320C30 for processing. III. IDENTIFICATION ALGORITHM AND SOFTWARESuppose the continuous-time plant to be identified is represented by a transfer function, Y ( s ) N ( s) G p ( s) = = (1) U ( s ) D( s )where N(s) and D(s) are polynomials. Selecting a sampling interval T and assuming that a zero-order hold precedes the plant, an equivalent discrete time transfer function of the plant is, Y(z) b1 z −1 +Κ + bn z − n Gp (z

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1998 Annual Conference

Authors

William E. Sayle; Joseph L. A. Hughes

strong or weak. Table 2 identifies the elements used to achieve the outcomes, includingboth curricular components and other activities such as co-op experience and support operations.Finally, Table 3 identifies which assessment measures are strong or weak measures of theachievement of each outcome. Table 1. Relationships Between Educational Objectives and Outcomes EE Program Outcomes Educational Objectives 2 3 9 11 15 17 22 Novel designs to meet requirements S S W W W Communications S S W

Collection

1998 Annual Conference

Authors

William E. Sayle; Joseph L. A. Hughes

strong or weak. Table 2 identifies the elements used to achieve the outcomes, includingboth curricular components and other activities such as co-op experience and support operations.Finally, Table 3 identifies which assessment measures are strong or weak measures of theachievement of each outcome. Table 1. Relationships Between Educational Objectives and Outcomes EE Program Outcomes Educational Objectives 2 3 9 11 15 17 22 Novel designs to meet requirements S S W W W Communications S S W

Collection

1998 Annual Conference

Authors

Edgar N. Reyes; Dennis I. Merino; Carl W. Steidley

desirability of the Boltzmann machine.We shall briefly review some aspects of Boltzman machines and the simulated annealingalgorithm. Let (U, C) be a network consisting of units, U = {u i : i = 1, ..., n } , and a set of { } { }connections, C, consisting of unordered pairs u i , u j . A connection u i , u j in C is said to joinu i to u j . Intrinsic to Boltzman machines are the notions of a connection strength s and a Page 3.434.1 Session 2520configuration k of the

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1998 Annual Conference

Authors

Nizar Al-Holou; N. Mohankrishnan

5GUUKQP 619#4&56*'+06')4#6+101(%1/276'4$#5'& +05647%6+109+6*/#6.#$ s 0K\CT#N*QNQWCPF0/QJCPMTKUJPCP &GRCTVOGPVQH'NGEVTKECNCPF%QORWVGT'PIKPGGTKPI 7PKXGTUKV[QH&GVTQKV/GTE[ &GVTQKV/+ CNJQNQWP"WFOGTE[GFW#DUVTCEV #WVJQTYCTGsKUCRQYGTHWNRTGUGPVCVKQPOGFKWOHQTVJGFGUKIPQH%QORWVGT$CUGF+PUVTWEVKQPOQFWNGU*QYGXGTQPGNKOKVCVKQPKUVJCVKVKUPQVXGT[UWKVCDNGHQTVJGWUGQHQRGPGPFGFRTQDNGOHQTOWNCVKQPUYJKEJTGSWKTGVJGNGCTPGTVQOCMGRCTCOGVGTEJQKEGUKPVJGUQNWVKQPRTQEGUUUWEJEJQKEGUJCXGVQDGRTGFGVGTOKPGFD

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1998 Annual Conference

Authors

Majdi Najm

Appendix B (Planning the Construction Plan - IPRs)Figure 4. Table of Contents of the Final Manual Page 3.5.4 4 P la n n in g P ro c e s s F a c ilita tin g P ro c e s s e s Q u a lity P la n n in g Q u a lity M a n a g e m e n t P la n C h e c k lis ts O rg a n iz a tio n a l P la n n in g R e s p o n s ib ilitie s (A c c o u n ta b ility M

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1998 Annual Conference

Authors

Elliot Rothkopf

Session 1547 REFINING TWO YEAR TECHNOLOGY CURRICULA FOR GROWTH IN A SENIOR COLLEGE DR. ELLIOT ROTHKOPF COLLEGE OF STATEN ISLAND/CUNYThe College of Staten Island of the City University of New York is a comprehensive collegeoffering degrees from the Associates to the Ph.D. The Engineering Technologies Departmentoffers an A.S. degree in Architectural Studies and A.A.S. degrees in Civil EngineeringTechnology (CET), and Electrical Engineering Technology (EET). The Computer Sciencedepartment offers an A.A.S. degree in Computer Technology well as the B. S. and M

Collection

1998 Annual Conference

Authors

Alireza Rahrooh

input signal is displayed onthe computer screen along with the error signal or the measured position output from the shaftencoder. The resolution of the measured value is limited to the number of tracks on the encoderdisc. The encoder has six tracks, so the resolution is 2*6 = 64 levels. This results in the measuredvalue having a more stepped appearance. The diagram of Figure 2 shows how the system blocksare connected for this experiment. Figure 2. Block diagram of the SFT154 shaft encoder position controlTo study the stability, transient and steady state responses, sampling time of 0.5 msec is used. Themotor/gear transfer function, G,,,(s) and the sensor transfer function H(s) are obtained through anexperiment; G,,,(s) = 20/s(s+4

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1998 Annual Conference

Authors

S.A. McClellan; J.W. Goode

explosive growth of theInternet and World-Wide-Web, the effects of these technologies are increasingly presentin routine settings. Consequently, the exposure to “quantized” and “compressed”information is very high whereas exposure to the theoretical underpinnings and a firmunderstanding of the associated tradeoffs is very low. We begin here with a briefintroduction to the theory surrounding both the mechanics of speech production and themathematical modelling of vocalization, including basic quantization and prediction.The dryness of the mathematical development is then nicely contrasted with thereal-time demonstrations of speech coding which rely on a participant’s vocalizations. II. H U M A N S PEECH AND L INEAR P R E D I C

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1998 Annual Conference

Authors

James A. Newell

, Cambridge, MA, (1991).2. Ohlsson, S., “The Enaction of Thinking and Its Educational Implications,” Scandanavian Journal of EducationalResearch, Vol. 27, pp. 73-88, (1983).3. Fosnot, C. T., Enquiring Teachers, Enquiring Learners: A Constructionist Approach for Teaching, Teachers CollegePress, New York, (1989).4. Fogler, H. S. and S. E. LeBlanc, Strategies For Creative Problem Solving, Prentice Hall PTR, Upper Saddle River,NJ, (1995).5. Schulz, K. H. and D. K. Ludlow, “Incorporating Group Writing Instruction in Engineering Courses,” Journal ofEngineering Education, Vol. 85, No. 3, pp. 227-232, (1996).6. Hawkins, S., M. B. Coney, and K. E. Bystrom, “Incidental Writing in the Engineering Classroom,” Journal ofEngineering Education, Vol. 85, No. 1, pp