Conference Session

Computer Simulation and Animation I

Collection

2008 Annual Conference & Exposition

Authors

James Reising, University of Evansville; Mark Randall, University of Evansville

Tagged Divisions

Computers in Education

same signal with additive noise can be used todetermine the time delay between the transmitted pulse and the return pulse. Such a procedure isrelatively easy to rationalize intuitively. (The scheme may also be viewed as filtering the returnsignal with a matched filter, but the convolution of the signal with the impulse response of thematched filter may be harder for students, especially those who have studied neither linearsystems nor digital filters, to grasp.)A computer simulation of the cross-correlation detection process was originally assigned as agraphical programming project in a computer software class. The simple model used in theassignment assumed a sinusoidal signal of adjustable duration as the transmitted pulse and adelayed

Conference Session

Multidisciplinary Endeavors: Mechatronics, Robotics, and Technology

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Luis Alberto Rodriguez, Milwaukee School of Engineering

Tagged Divisions

Multidisciplinary Engineering

. His interests include robot control, design of mechatronics systems, pneumatic actuation, motion planning and optimal control. American c Society for Engineering Education, 2021 Teaching Robotics with Animated SimulationsAbstractIn this paper, we present a pedagogical method to teach the fundamentals of Robotics. The processprovides an intuitive way to create, manipulate, and simulate robots or multi-body systems. Themethod consists of constructing the robot geometry using a 3D modeling software such asSolidworks and importing it into MATLAB. Once in the MATLAB environment, homogenousbody transformations are used to manipulate the geometry. The innovative

Conference Session

Computed Simulation and Animation

Collection

2002 Annual Conference

Authors

John Nestor

Session 2220 Animation of VLSI CAD Algorithms – A Case Study John A. Nestor Department of Electrical and Computer Engineering Lafayette CollegeAbstractThe design of modern VLSI chips requires the extensive use of Computer-Aided Design(CAD) tools. Undergraduate VLSI Design courses typically teach the use of these toolsto create designs, but provide little or no information about how the tools work, whichmakes it difficult to use them effectively. The goal of the CADAPPLETS project is toprovide a set of Java animations which will aid students in visualizing the

Conference Session

Computer Simulation and Animation I

Collection

2008 Annual Conference & Exposition

Authors

Michael Black, American University

Tagged Divisions

Computers in Education

AC 2008-2818: A PROCESSOR DESIGN PROJECT FOR A FIRST COURSE INCOMPUTER ORGANIZATIONMichael Black, American University Page 13.86.1© American Society for Engineering Education, 2008 A Processor Design Project for a First Course in Computer OrganizationAbstractAlthough many of today’s students are savvy computer users, paradoxically they often findcomputer design abstract and difficult to visualize. To make the material more tangible, we havedeveloped a novel three part term project that requires students to develop and simulate their ownprocessor. Students work in teams to devise and encode their own instruction set, design adatapath and

Collection

1997 Annual Conference

Authors

Kevin Wedeward; E. Eugene Mitchell; George E. Piper; John Watkins

Session 1620 COMPUTER ANIMATION: A VISUALIZATION TOOL FOR DYNAMIC SYSTEM SIMULATIONS John Watkins, George Piper, Kevin Wedeward, E. Eugene Mitchell Department of Weapons & Systems Engineering U.S. Naval Academy Annapolis, MD 21402-5025ABSTRACTThis paper describes how animation is being utilized to teach system dynamics and control in theSystems Engineering Department at the United States Naval Academy. Included is a descriptionof how animation has been incorporated into the classroom using the computer software toolsVisSim and MATLAB. The animation capabilities

Collection

2024 CIEC

Authors

MADDUMAGE KARUNARATNE

ETD 365 Innovative Sophomore Level Simulation Assignment with Animation Maddumage Karunaratne University of Pittsburgh at JohnstownAbstractAlongside computer science majors, both electrical and computer engineering graduates need toacquire some level of expertise in computer programming. At this university, electrical engineering(EE) and computer (COE) engineering majors always enroll in at least one semester-long course incomputer programming so they can be effective in using embedded controllers and otherprogrammable devices later in their curricula or industry post

Collection

1998 Annual Conference

Authors

Brian Jenkins

traditionallydifficult to teach at a blackboard using mathematical derivation. In engineering, ideas also may besimple mathematically but physically counterintuitive. Computer simulation can enable a studentto jump over the hurdle that an abstract physical concept presents. High levels of abstraction areespecially prevalent in electromagnetic field theory and Fourier analysis, two disciplines which arefundamental in fiber optic communication theory. We use animation and simulation in MATLABto help students grasp some of the more complex topics in these disciplines.MATLAB is a matrix driven language which integrates numerics and graphics in a single package.1It provides a computing environment which is relatively easy for the students to understand. Thiscan be

Collection

1998 Annual Conference

Authors

Brian Jenkins

traditionallydifficult to teach at a blackboard using mathematical derivation. In engineering, ideas also may besimple mathematically but physically counterintuitive. Computer simulation can enable a studentto jump over the hurdle that an abstract physical concept presents. High levels of abstraction areespecially prevalent in electromagnetic field theory and Fourier analysis, two disciplines which arefundamental in fiber optic communication theory. We use animation and simulation in MATLABto help students grasp some of the more complex topics in these disciplines.MATLAB is a matrix driven language which integrates numerics and graphics in a single package.1It provides a computing environment which is relatively easy for the students to understand. Thiscan be

Conference Session

Computer Simulation and Animation I

Collection

2008 Annual Conference & Exposition

Authors

Othoniel Rodriguez-Jimenez, Polytechnic University of Puerto Rico; Carlos Pacheco, Polytechnic University of Puerto Rico; Nelson Reyes-Aviles, Polytechnic University of Puerto Rico; Marisol Mercado, Polytechnic University of Puerto Rico

Tagged Divisions

Computers in Education

AC 2008-2935: UNISYLLABUS: A TOOL TO MANAGE YOUR PROGRAM’SSYLLABIOthoniel Rodriguez-Jimenez, Polytechnic University of Puerto Rico Othoniel Rodriguez-Jimenez is Associate Director for the Computer Engineering program at Polytechnic University of Puerto Rico. He holds a PhD in Computer Engineering and Computer Science from the University of Missouri-Columbia. His main research areas are eLearning, computers in education, and reconfigurable hardware.Carlos Pacheco, Polytechnic University of Puerto Rico Nelson Pacheco graduated magna cum laude from the Computer Engineering Program at Polytechnic University of Puerto Rico. He is currently a Senior Engineering Consultant with Abacus

Conference Session

Computer Simulation and Animation I

Collection

2008 Annual Conference & Exposition

Authors

Essam Zaneldin, Indiana University Purdue University Fort Wayne; Suleiman Ashur, Indiana University - Purdue University Fort Wayne

Tagged Divisions

Computers in Education

represent the feasible set and the objectivefunction, and to interactively animate the objective function or constraint movements. Excel canalso be used in simulation, where stochastic simulation may be facilitated through the use of anadd-in, and a decision support system may thus be built from scratch.Spr eadsheets Developed for Teaching Constr uction Management ConceptsIn this study, several spreadsheets were developed to teach construction management conceptssuch as construction data management, time-cost tradeoff analysis, optimum markup estimation,simulating and scheduling construction activities with uncertain durations, scheduling linear andrepetitive projects, schedule and cost control, and optimization of construction operations

Conference Session

Computed Simulation and Animation

Collection

2006 Annual Conference & Exposition

Authors

Raymond Jacquot, University of Wyoming; Cameron Wright, University of Wyoming; Robert Kubichek, University of Wyoming

Tagged Divisions

Computers in Education

2006-179: ANIMATION SOFTWARE FOR THE TEACHING OF ELECTRICALTRANSMISSION LINESRaymond Jacquot, University of Wyoming Ray Jacquot received his BSME and MSEE degrees at the University of Wyoming in 1960 and 1962 respectively. He was an NSF Science Faculty Fellow at Purdue University where he received the Ph.D. in 1969. He is a member of ASEE, IEEE and ASME and has been active in ASEE for over three decades serving as Rocky Mountain Section Chair and PIC IV Chair. His professional interests are in modeling, control and simulation of dynamic systems. He is currently Professor Emeritus of Electrical and Computer Engineering. E-mail: quot@uwyo.edu.Cameron Wright, University of Wyoming Cameron H. G

Conference Session

Computed Simulation and Animation

Collection

2002 Annual Conference

Authors

Joseph Hoffbeck

different solutions insoftware. An example of this method is presented where a caller identification signal is capturedfrom the telephone system, and is demodulated using the numeric computation packageMATLAB.IntroductionIt is often necessary to rely on simulations of complex systems in order to demonstrate theirbehavior to a class since access to real systems can be limited due to cost, space, and timeconstraints. While simulations are sometimes the only practical approach, they can be too farremoved from real systems to be convincing to the students or to really capture the imaginationof the students. Furthermore, simulations often produce results that are too good in that theyoften do not include the imperfections associated with real systems

Conference Session

Computed Simulation and Animation

Collection

2005 Annual Conference

Authors

Jessica Matson; David Elizandro

Discrete Event Simulation Using Excel/VBA David Elizandro and Jessica Matson Tennessee Technological UniversityAbstractThe spectrum of discrete event simulation modeling courses in industrial engineering programsvaries from an emphasis on learning concepts of discrete event simulation to modeling simplesystems using a commercially viable simulation language. Often, when the emphasis is onlearning a commercial language, much of the course becomes training at the expense ofconcepts. As a result the student has a basic understanding of the language and modeling butlimited understanding of discrete event simulation concepts. In either case, modeling

Conference Session

Computational Tools and Simulation I

Collection

2009 Annual Conference & Exposition

Authors

Richard Stanley, Kettering University

Tagged Divisions

Computers in Education

unique because each animation may be directly linked to ahomework problem and absolutely no programming is required of the user. The animations arehard-coded in Adobe Flash Action Script, so no external computer programs are needed.A study of 58 students was conducted in two sections of Dynamics during the spring term of2008, where the software was used for both in-class demonstrations and homework assignments.Students used the program to help them answer eight qualitative questions regarding specificparticle kinematics and kinetics concepts. A high percentage of students answered thesequestions correctly (with the assistance of the software).An anonymous survey was conducted at the end of the term regarding the effectiveness of thesoftware. It

Conference Session

Computed Simulation and Animation

Collection

2004 Annual Conference

Authors

Michael Filsinger

-existing simulation programs or, in the case of Operating Systems, to modify thekernel of an existing operating system. I have found that, given the lack of a strong ComputerScience background among our students, a better approach to this problem is to have the studentswrite simple simulations themselves. This technique provides a more intimate understanding ofthe processes they model while simultaneously giving the students valuable programmingpractice.In this paper, I will examine one such problem from my Operating Systems course – modelingprocess scheduling algorithms. Computers are time-sharing devices: only one process canactually be using the CPU at any given instant. The procedure for selecting which process to runand for how long can have

Conference Session

Computer Tutors, Simulation, and Videos

Collection

2015 ASEE Annual Conference & Exposition

Authors

Moe Tajvidi P.E., Utah State University; Ning Fang, Utah State University

Tagged Divisions

Mechanics

Paper ID #11310Application of Computer Simulation and Animation (CSA) in Teaching andLearning Engineering MechanicsMr. Moe Tajvidi, Utah State University Moe Tajvidi is a PhD student in engineering education at Utah State University. His BSc and MS degrees are in civil and structural engineering and he has a sixteen year long career experience in structural engi- neering along with four years of college instruction of both basic and advanced civil engineering courses. In his teaching experience he has been committed to introducing real life engineering problems to the learning environment. The subjects he has taught

Conference Session

Computed Simulation and Animation

Collection

2007 Annual Conference & Exposition

Authors

Bill Genereux, Kansas State University, Salina

Tagged Divisions

Computers in Education

this class because he was willing to explore different methods to teach conceptsthat were hands on instead of entirely computer based. I think it helped to clarify some of thetechniques… It was more than just another computer class or art class, but a good blend of thetwo.”Perhaps a discussion of ideas such as those of Rikakis might be helpful in making betterrelevance connections. Rikakis states “It is clear that the fast evolution of technology and itseffects on society have produced a discontinuum between development of media technology andmedia content and consequently a discontinum between our means of acquiring information andour means of acquiring knowledge. The result is that our society is highly informed, has accessto lots of data

Conference Session

Computer Simulation and Animation II

Collection

2008 Annual Conference & Exposition

Authors

David Chandler, Rochester Institute of Technology; James Vallino, Rochester Institute of Technology

Tagged Divisions

Computers in Education

interface, and may be captured to files. Informational andCritical messages are saved as text files. I/O messages are logged as comma delimited files for Page 13.336.7easy import to other programs. The user can configure the rate at which the frameworkgenerates I/O messages. All file operations are done in the Win32 process so that there is noimpact on the real-time performance of the framework.EvaluationThere are two versions of the Computation process for the CSPS framework. One version runs asa real-time process under RTX. The second version runs as a standard Windows process makingfor a simulation running entirely within the Windows

Conference Session

Computed Simulation and Animation

Collection

2004 Annual Conference

Authors

Daniel Pack; Steven Barrett

2004-569 Real-Time Operating Systems: A Visual Simulator Steven F. Barrett1 , Daniel J. Pack2 , Charles Straley1 , Lew Sircin1 , George Janack1 1 Department of Electrical and Computer Engineering University of Wyoming 2 Department of Electrical Engineering United States Air Force Academy, Colorado Abstract A Real-Time Operating System, or RTOS, is an operating environment wheremultiple events

Conference Session

Computed Simulation and Animation

Collection

2007 Annual Conference & Exposition

Authors

Raymond Jacquot, University of Wyoming; Cameron Wright, University of Wyoming; Robert Kubichek, University of Wyoming; Thomas Edgar, University of Wyoming

Tagged Divisions

Computers in Education

. Yusef, K. Slater and K. Gramoll, Using ‘GT Vibrations’ in Systems Dynamics Courses, Proc. 1994 ASEE Annual Conference, June 26-29, Edmonton, Alberta Canada, pp. 952-958. Visualization using Longitudinal 3. 33. K. Slater, and K. Gramoll, Vibration Visualization using Longitudinal Vibration Simulator (LVS), Proc. 1995 ASEE Annual Conference, June 25-29, Anaheim, CA, pp.2779-2783.4. J. Watkins, G. Piper, K. Wedeward and E.E. Mitchell, Computer Animation: A Visualization Tool for Dynamic Systems Simulations, Proc. 1997 ASEE Annual Conference, June 15-18, 1997, Milwaukee, WI, Paper 1620-4. 5.5. A. J. Valocchi and C.J. Werth, Web-Based Interactive Simulation of Groundwater Pollutant Fate and Transport, Computer Applications in Engineering

Conference Session

Using Animation and Simulation in ET

Collection

2002 Annual Conference

Authors

Stephen Kuyath

Session Number: 3449 How Computer Animations Make Teaching Complex Topics More Effective And More Efficient Stephen J. Kuyath UNC-Charlotte Department of Engineering TechnologyAbstract:Complex or abstract topics are sometimes very difficult for students to understand. Many ofthese topics can be taught in a more efficient and effective manner. Computer animations, bothuser-controlled and free running, with audio or textual clarification, appeal to a number oflearning styles that will help students master the subject. The methods used grew from teachingan introductory

Conference Session

Computed Simulation and Animation

Collection

2005 Annual Conference

Authors

Thomas Edgar; Cameron Wright; Robert Kubichek; Raymond Jacquot

physicalproblems described by partial differential equations. Any or all of them are available from thefirst author on request at quot@uwyo.edu.Bibliography1. Matthews, J.H., Using MATLAB to Obtain Both Numerical and Graphical Solutions to Hyperbolic PDEs, Computers in Education Journal, vol. 4, no. 1, Jan./Mar., 1994, pp. 58-60.2. Yusef, I., K. Slater and K. Gramoll, Using ‘GT Vibrations’ in Systems Dynamics Courses, Proc. 1994 ASEE Annual Conference, June 26-29, Edmonton, Alberta Canada, pp. 952-958. Page 10.306.143. Slater, K. and K. Gramoll, Vibration Visualization using Longitudinal Vibration Simulator (LVS), Proc. 1995 ASEE Annual

Conference Session

Potpouri - A Mix

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oai Ha, Utah State University; Ning Fang, Utah State University

Tagged Divisions

Mechanics

Paper ID #6516Computer Simulation and Animation in Engineering Mechanics: A CriticalReview and AnalysisOai ”Andy” Ha, Utah State University Oai Ha is currently a Ph.D. student in the Department of Engineering Education in the College of En- gineering at Utah State University. He works as a graduate research assistant on a research project that focuses on studying the effect of computer simulation and animation on student learning in engineering dynamics. He received his B.S. in Mechanical Engineering from the University of Technology, Hochim- inh City, Vietnam, and his M.S. in Mechanical Engineering from California

Conference Session

Computational Tools and Simulation II

Collection

2010 Annual Conference & Exposition

Authors

Richard Stanley, Kettering University; Timothy Cameron, Kettering University

Tagged Divisions

Computers in Education

only place I had problems was with the excel graphs. After downloading thegraphing template, getting the graphs to appear was not easy for me. Keep in mind that Iprobally [sic] have below average computer skills. Excel is like black magic to me, nevercould figure it out.”In order to increase the ease of generating parametric studies, videos will be embedded inthe animations website that will show step-by-step instructions on how to create thegraphs. This will be done via Adobe Captivate© software, which dynamically capturesscreen activity and may be played on the Adobe Flash© player.6.3 Survey Results: General OpinionsIt is the author’s opinion that animations and related features are useful teaching tools

Conference Session

Unique Laboratory Experiments & Programs Poster Session

Collection

2005 Annual Conference

Authors

Asad Davari; Amir Rezaei

Teaching Vibration and Control courses using Animation, Simulation, and Experimentation Amir G. Rezaei, Ph.D., Asad Davari, Ph.D. Mechanical Engineering Department /Electrical and Computer Engineering Department West Virginia University Tech Montgomery, WV 25136AbstractVibration and control theories are both subjects that encompass almost all fields of engineeringapplications. Understanding the theory of vibration is essential to understanding of controltheory for undergraduate engineering students. The traditional treatment in teaching boththeories tend to be highly theoretical and mathematically complex and may not be beneficial

Collection

1998 Annual Conference

Authors

Donald A. Smith; Cole J. Brooking

Enhance the Teaching of Engineering Dynamics." Computer Applications in Engineering Education, V3 # 7 1995, pp. 21-28 Page 3.494.3[5] Watkins, J., G. Piper, K. Wedward, & E.E. Mitchell, "Computer Animation: A Visualization Tool for Dynamic System Simulations", Proc. 1997 ASEE Annual Conference, Session 1620, June 1997Cole J. Brooking is currently a Graduate Student in Mechanical Engineering at the University of Washington.After receiving his BSME from the University of Wyoming, he interned at The Mathworks, Inc., studyingMechanical Engineering applications of MATLAB. His current research work involves shape skeleton based

Conference Session

Computed Simulation and Animation

Collection

2003 Annual Conference

Authors

Mohan Ketkar; Gopal Reddy

Session 2320 MICROSOFT EXCEL-BASED NUMERICAL SOLUTION OF LINEAR, HOMOGENEOUS 1D TRANSIENT PARTIAL DIFFERENTIAL EQUATIONS Mohan A. Ketkar Gopal B. Reddy Prairie View A&M University University of Houston Prairie View, TX 77446 Houston, TX 77204ABSTRACTMany transient phenomenons are mathematically described and simulated by the homogeneous,parabolic partial differential equations. Irregular and non-linear boundary conditions poseformidable difficulties to engineers to obtain closed form (exact) solutions.In this

Conference Session

Computed Simulation and Animation

Collection

2003 Annual Conference

Authors

Kau Teng Lim; David Beams

      S  0 0 0 0 0 0 0 1   I 5   I S Eq. (7) may be expressed in compact form as AX=B, where A is the [n+b, n+b] coefficientmatrix, X is the column vector of unknowns, and B is the column vector of known quantities. Xcan be found by matrix inversion (X = A–1B). Eq. (7) is solved once to compute a dc bias-pointsolution. In dc sweep analysis, the value of one independent source in B is stepped through auser-defined range and the solution is computed at each step.Figure 11 defines currents and voltages in branches containing capacitance or inductance. Suchbranches are handled like resistive branches with the conductance of the resistor (1/R) replacedby the admittance of the

Conference Session

Computed Simulation and Animation

Collection

2003 Annual Conference

Authors

Murat Tanyel

rudimentary understandingof discrete signals. Since these are computer simulations, one would need to remember thatsimulations of analog processes are valid when the results of the processes all fall within theNyquist rate determined by the original chosen sampling frequency. The discussiondevelopment in section III gave an example of a process that would result in frequencies beyondthe Nyquist rate. The concept of sampling frequency gets interesting and potentially confusingwhen we simulate the sampling of analog signals where we can talk about two samplingfrequencies: the sampling frequency of the entire simulation and the sampling frequency atwhich we retain samples from the simulated signal. I refer to the former as ‘simulation clockfrequency

Conference Session

Computed Simulation and Animation

Collection

2002 Annual Conference

Authors

Tony Wong; Pascal Bigras

, the mechanical part also possessesnonlinear characteristics such as finite piston length, static and dynamic frictions. All thesenonlinear characteristics and phenomena contribute to the overall complexity of most simplefluid systems.5. Software tool designAs shown in section 4, fluid systems are highly nonlinear. In fluid systems no single law existswhich describes the resistance of passages to flow. And simple explanatory models are difficultto obtain due to the analytical complexity involved. Numerical simulations provide a mean tobypass these analytical difficulties. Simulation packages such as NASA’s FAST10 for transientfluid flow studies and Boeing’s EASY511 for general computational fluid dynamic analysis aresuitable for large-scale