hosting server for the simulation to be performed at the server. The simulationresults are subsequently presented to the remote user via the GUI. This paper details thetechnical development process and highlights its advantages and shortcomings. A number ofcase studies are also provided to demonstrate the potential of this environment for educationalactivities.1. IntroductionSimulation is a powerful method of studying the behavior and functionality of engineeringsystems. With the advancement of Internet and computing technology cloud simulation isbecoming more popular. Cloud simulation is an arrangement in which the simulationenvironment is hosted on a remote server and users have access to the simulation environmentover the web. A detailed
into the academicarena particularly in construction.IntroductionNew advancements in technology have changed the education environment. Different programsare incorporating technological methods to promote research and teaching in academia andprovide instructors with a set of practical and effective tools to facilitate the learning process.Various research projects have shown the effectiveness of technological tools in education(Department of Education, 2014). The advent of gaming and 3D modeling has enabled educatorsto utilize computer-based learning activities and mingle engaging 3D graphical features withtraditional learning approaches. One of these technological tools are the simulation applicationsthat are being used in higher education
, loads and instrumentation. Themachine power ratings can range from several hundred to thousands of watts, with largermachines giving more realistic results. In a typical electric motors experiment, students mustlocate and identify the appropriate equipment, make the correct electrical connections, read bothanalog and digital instrumentation and record the data. The preferred method of providingstudents with virtual machine lab experiences is through computer-based simulations4,5. Thesesimulations give both face-to-face and online students the ability to view the performance ofelectric machinery without accessing the lab equipment.The researchers were very keen on developing a software simulation that would facilitate thestudents’ acquisition of
Paper ID #18200Enhancing Additive Manufacturing Education Using Virtual Rapid Proto-typing Simulator ToolDr. Aditya Akundi, University of Texas, El Paso Aditya Akundi is currently affiliated to Industrial Manufacturing and Systems Engineering department, and Research Institute for Manufacturing and Engineering Systems at University of Texas, ElPaso. He earned a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, India. He earned a Master of Science in Electrical and Computer En- gineering at the University of Texas at El Paso (UTEP). Intrigued by Systems
,introduction of video-based lectures and animations (Fang, 2012), use of computer simulations(Zacharia & Olympiou, 2011), use of physical props and demonstrations in class (Miller, Lasry,Chu, & Mazur, 2013), and use of manipulatives in structured learning activities for students(Mejia, Goodridge, Call, & Wood, 2016). Although simulations are known to be efficient toolsto improve students’ learning and perception, we are not aware of any framework that combinesvisual and haptic simulations to improve students’ learning of statics concepts. To assist with thedesign of visuo-haptic simulations, we analyze the affordances of physical manipulative toolsand use these to inform our design of a visuo-haptic simulation.Use of simulations and
, and K. A. Nigim, Improve Learning Efficiency by Using General PurposeMathematics Software in Power Engineering, IEEE Transactions on Power Systems, 2003, Vol. 18(3), pp. 979-985.11. M. Glavic, I. Dzafic, and S. Tesnjak, A General-Purpose Symbolically Assisted Numeric ComputationEnvironment as a Support in Power Engineering Education, IEEE Trans. on Power Systems, 2005, Vol. 20, pp. 3-12.12. C. Domnisoru, Using MATHCAD in Teaching Power Engineering, IEEE Transactions on Education, 2005,Vol. 48(1), pp. 157 – 161.13. A. Lamari, Modelling and simulation of electrical machines on the basis of experimental frequency responsecharacteristics, Journal of Computer Engineering Research, 2010, Vol. 1(1), pp. 7-13.14. A.M. Dąbrowski, S.A. Mitkowski, A
, particularly emotions.7,9 For example, the humanmind is known for its energy-efficient operation, consuming as little electricity as a dim lightbulb (20 Watts), while computational cognitive modeling and simulation of human brain isexpected to consume 106 times more electricity – equivalent to a nuclear power plant.21 Onewonders, then, what accounts for the energy efficiency of human brain? Neuropsychologists,as well as evolutionary biologists, point to some structural (hardware) interference by anautopilot limbic system (animal-like brain) to by-pass, simplify, or reduce more elaboratecognitive functions of an evolved neocortex (outer parts of the human brain). It almostappears that we are caught up between two competing brains,9,23 as illustrated by
Virginia as shown on page 1 of [56].57-60 These steps include(1-10) general information about Linux and how to set up a Linux account, FireFox, SSH,capture of images with The GIMP, printing and plotting, getting started with Cadence, andsending email from Linux. After carrying out these setup steps, the manual steps the studentthrough the process of (11) creating a library, (12) a schematic, (13) a symbol, (14) Spectresimulation, (15) layout, (16) Design Rule Check (DRC), (17) extraction, (18) Layout versusSchematic check (LVS), (19) extracted-layout simulation, and (20) simulation with NC-Verilog.Subsequent steps are (21) generating I-V curves for an nFET, (22) parametric simulation of I-Vcurves for an nFET, (23) generating a voltage transfer
implement more advanced encryption techniques on images. The visualization goesthrough the whole cycle of encryption-decryption after transmission over a simulated networkconnection using TCP or UDP transport layer. Figure 9. Cryptographic AlgorithmsVisualization Reinforced Instruction (VRI) AnalysisWe implemented several of the VRI-modules as we were teaching the courses or supervisingsenior level students. Students were either Computer Science or Computer Engineering majors,some with double majors with applied mathematics. So far, we have been able to analyze theresults from two courses of Software Engineering and one course of Programming I (CS1).When the students were asked if the visualization helped them
a process insteadof a modeling tool or software program and significantly broaden their insights into BIM beyondthe existing 3D, 4D, and 5D applications. This paper will serve as a case study of an advancedlevel BIM course in CM programs.BIM in CM EducationFrom CAD to BIMDue to the standard use of paper drawings in the AEC industry, 2D computer-aided design(CAD) drafting has been traditionally used in CM education to facilitate the curriculum acrossvarious subjects including estimating quantity and cost, developing construction sequence andschedule, and analyzing site layout and safety risks1. While being widely used as a pedagogicaltool, it often requires some degree of students’ prior experience to interpret 2D CAD drawingssince students
Hansen, D., “Teaching undergraduate kinetics using LEGO Mindstorms race car competition,” Proceedings of the 2004 ASEE Annual Conference and Exposition, Session 3668, 2004.10. Jaksic, N. and Spencer, D., “Multidisciplinary Robotics Experiment: LEGO Mindstorms NXT Bluetooth Convoy,” International Journal of Modern Engineering, Vol. 10, No. 1, pp. 5 – 10, Fall/Winter 2009.11. Spencer, D. E. and Jaksic, N. I., “A Multidisciplinary Robotics Learning Environment: What Mindstorms and DARPA Urban Challenge have in Common,” Computers in Education Journal, Special issue on Novel Approaches to Robotics Education, Vol. 1/3, pp. 32-40, July – September, 2010.12. Jaksic, N., “DaNI-K: A Vision-based Robot Control Experiment with a
2012. He joined the Department of Electrical and Computer Engineering, West Virginia University Institute of Technology in 2012, and he is currently an associate professor. His current research interests include wireless power transmission, radar systems, microwave remote sensing, antenna design, and computational electromagnetics. He was the recipient of the first prize award in the student paper competition of the IEEE International Antennas and Propagation Symposium, Boston, MA in 2001. He served as the chair of Antennas and Propagation Society of IEEE Fort Worth Chapter from 2006 to 2011.Mr. Cody Ryan Zackoski, West Virginia University Institute of Technology Currently, I am a second-year student enrolled at WVU
students needed to do assigned tasks, including: watch videos, doassigned readings and homework, and do weekly quizzes before coming to class. Otherwise,they may have trouble doing the weekly lab experiments. Table 4 lists the lab assignments foreach week. When they came to class, there were no hour-long lectures in EE110. Classroomtime was reserved to address student questions on the multimedia content, homework or labassignments. Week # Lab Assignments Week01 Circuits Laboratory Introduction Week03 Digital I/O Circuits Week04 Basic Gates Verification Week05 Digital Simplification Week06 Ohms Law Week07 Complex Circuit Analysis Week08 RC Circuits Multisim Simulation Week09
Simulation. Simulations over which the learner has some control, such as being able to slow down an animation or set input parameters and observe what happens (Mayer, 2010). Output Device. A physical device allowing communication from the computer to the user, such as a screen or projector (Bowman et al., 2005). Virtual Environment. Computer-generated representations of real or imaginary environments, experienced as three dimensional via a number of sensory channels. Objects within these environments are independent of the user and can display real world behaviour. The user has autonomous control - the freedom to navigate and interact with the objects. This interaction occurs in real-time and the
). Virtual models, according to their description, includecomputer-based animations and simulations, augmented reality tools, and virtual reality tools.And of course, sometimes both tangible models and virtual models are used in tandem.Augmented reality (AR) involves the integration of virtual 3-D objects into a real 3-Denvironment (Azuma, 1997). One way to understand the range of ways to implement AR is toconsider where the integration of the virtual and thereal environments is displayed: on a fixed monitor, ona head-mounted device, or on a handheld device.In this first category of using a fixed monitor, Contero,Gomis, Naya, Albert, and Martin-Gutierrez (2012)report on the use of "desktop augmented reality"exercise to improve spatial ability among
games, computer-based simulation, and dynamic modeling, on students’ complex problem-solving learning outcomes. Dr. Law has published empirical studies in national and international refereed journals such as Computers in Human Behaviors, Journal of Educational Computing Research, Journal of Educational Technology & Society, Technology, Instruction, Cognition, and Learning, and International Journal of Knowledge Management and E-Learning. c American Society for Engineering Education, 2017 Improved learning through collaborative, scenario-based quizzes in an undergraduate control theory courseAbstractA significant challenge for many students in introductory control theory
learning is thetopic of this study. A number of journal articles are available that address teaching core engineering courses,and this situation is true for the teaching of Process Control and Automatic Control. Mostpublished papers (e.g., Edgar et. al., 2006; Khier, et. al., 1996; and Seborg et.al, 2003) addressthe course content and issues like whether frequency response should be included in the course,the proper role of dynamic simulation, and design of physical laboratories. Recently, a fewstudies have addressed teaching and learning methods that could be applied to any appropriatecontrol course content. Rossiter (2014) describes blended learning using YouTube videosdeveloped for students to prepare before class. The class was large
Paper ID #19405Vertically Integrated Projects (VIP) Programs: Multidisciplinary Projectswith Homes in Any DisciplineProf. Behnaam Aazhang, Rice University Behnaam Aazhang received his B.S. (with highest honors), M.S., and Ph.D. degrees in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in 1981, 1983, and 1986, re- spectively. From 1981 to 1985, he was a Research Assistant in the Coordinated Science Laboratory, University of Illinois. In August 1985, he joined the faculty of Rice University, Houston, Texas, where he is now the J.S. Abercrombie Professor in the Department of Electrical
purchases one or given one by theuniversity in order to do the labs at a distance location. These methods have been found veryuseful for delivering the labs of the courses that do not require bulky and costly laboratoryequipment such as industrial robots, trainers, test instruments, manufacturing machines etc. 2In order to deliver effective laboratory sessions, many institutions have adopted the use ofcomputer software which can simulate the laboratory equipment including all of the requiredparameters so that their distance learning students could interact with them using a realisticvirtual environment throughout their computers3. With the recent advances in computer graphics,the realistic visualization systems such as Virtual Reality (VR) has also
reduces the timerequired to explain the concepts, this enables the course instructor to ask more questions tocultivate insights by exposing new relationships. Figure 3. Example of 3D Animation of 3-Phase Transformer Analog Discovery KitLaboratory equipment required for the course can be divided into two groups: software andhardware. Typically, most traditional laboratories have circuit simulation software such asNational Instrument Multisim, and PSPICE4. As mentioned earlier, students can either installthis software to their personal computers if school license permits them to do, or they can usefree online circuit simulations software such as circuitlab.com or docircuits.com from their PC,laptop, or tablet. Thus students are
limitations in equipment availability is to make PLC and automationeducation portable and/or virtual. For example, LogixPro (http://www.thelearningpit.com/)employs animated educational simulations of processes, such as traffic control and batch mixing,to show how a ladder diagram relates to an automated process. Students can start and stop theanimations, and study the corresponding ladder diagram for certain conditions or cases. Inaddition, Hsieh has developed an Integrated Virtual Learning System for Programmable LogicController (Virtual PLC). This web-based system uses a combination of animations, simulations,intelligent tutoring system technology, and games to teach about programmable logic controllers[10-12]. Both of these systems are good
Experiment,representing the three important elements in a good engineering learning environment - theory,practical example and physical experimentation. Besides delivering the theoretical knowledgeand important concepts, the learning module also allows students further examine the gainedknowledge through animated simulations in the interactive Apps. In addition, the moduleincludes a mobile remote shake table laboratory (RSTLab) which provides students theopportunity to remotely participate and conduct physical shake table experiments in real-timethrough smart mobile devices (e.g. smartphones and tablets). Through these physicalexperiments, students may easily use scaled physical models to test theories and implement theirown innovations to observe
widely regarded by many students as one of the mostdifficult undergraduate engineering courses 1,2.To enhance student conceptual understanding in engineering dynamics, a variety of educationalinterventions, such as computer simulations, computer animations, and video games, have beendeveloped and implemented in the classroom 3,4. Among these interventions, concept mappingreceives growing attention in recent years, as it serves as an effective tool for knowledgevisualization, organization, representation, and elicitation 5. A significant amount of evidencehas shown that concept mapping improves student learning in many academic disciplines 6-11. Ina concept map, concepts are arranged in either hierarchical or network form, with labeled nodesin
Logic Controller Education,” Computer Applications in Engineering Education, 13(4), Dec 2005, pp. 266279.2. Hsieh, S. and Hsieh, P.Y., “An Integrated Virtual Learning System for Programmable Logic Controller,” Journal of Engineering Education, 93(2), April, 2004.3. Hsieh, S. and Hsieh, P.Y., “Animations and Intelligent Tutoring Systems for Programmable Logic Controller Education,” International Journal of Engineering Education, 19(2), 2003.4. Hsieh, S., “Reconfigurable and Scalable Automated Systems Projects for Manufacturing Automation and Control Education,” 2011 ASEE Annual Conference [PDF].5. Wikipedia, https://en.wikipedia.org/wiki/Programmable_logic_controller6. Plc-scada-dcs.blogspot.com, http://plc-scada-dcs.blogspot.com/2013/12
to translate thetraditional ground or face-to-face teaching philosophy to one suited for online classroomenvironment.The engineering faculty decided to first develop a freshman-level course entitled, Introduction toEngineering (EE110), consisting of basic electronics and weekly lab assignments. Theintroductory courses attempts to prepare those students who will be entering either the electricalor computer engineering programs.The College of Engineering recognized online lab assignments will be the challenging part of theprogram curriculum. This insight was verified and validated when the flipped classroom wasimplemented to mimic the online chat session. In this case, when students meet in the classroom,it simulates the online chat session in
Multi Objec- tive Control Algorithms (I-MOCA), the Traffic Responsive Iterative Urban-Control Model for Pattern- matching and Hypercube Optimal Parameters Setup (TRIUMPH OPS), the Multi Attribute Decision- making Optimizer for Next-generation Network-upgrade and Assessment (MADONNA), and the Safety and Mobility Agent-based Reinforcement-learning Traffic Simulation Add-on Module (SMART SAM). He was also one of the key developers of the dilemma zone protection Detection Control System (D-CS) that was selected as one of the seven top research innovations and findings in the state of Texas for the year 2002. Dr. Abbas served as the chair of the Institute of Transportation Engineers (ITE) traffic engineering council
Advanced General Aviation • Pattern Recognition of Biological Pho-tomicrographs Using Coherent Optical Techniques Nick also received his four masters; in AerospaceEngineering, Civil Engineering, Operation Research, and Mechanical Engineering all from PrincetonUniversity during the years from 1973 through 1976. He received his bachelor’s degree in Mechanicalengineering, with minor in Mathematics from Michigan State. Nick has served and held positions inAdministration (Civil, Chemical, Computer Engineering, Electrical, Environmental, Mechanical, Manu-facturing, Bioengineering, Material Science), and as Faculty in the engineering department for the pasttwenty seven years.Industry experience: Consulting; since 1987; Had major or partial role in: I
. and B.S. in manufacturing engineering and electrical engineering, respectively, from the Missouri University of Science and Technology. Dr. Nagel’s long-term goal is to drive engineering innovation by applying her multidisciplinary engineering expertise to instrumentation and manufacturing challenges.Prof. Christopher Stewart Rose, James Madison University I do research on the anatomy, development and evolution of amphibians and I teach courses on the com- parative anatomy of vertebrate animals, animal development, human development and evolution, scientific writing, and biology in the movies.Dr. Ramana Pidaparti, University of Georgia Ramana Pidaparti, is currently a Professor of Mechanical Engineering at VCU. Dr
pursue. For instance, one of the teammembers had always been fascinated by animation and graphic design; this project gave her achance to finally learn how to convert mathematical simulations into visually appealinganimations. Therefore, this multidisciplinary project is giving students a chance to step outsidetheir comfort zone, learn from each other, and develop synergistic approaches to problemsolving.DeliverablesMost engineering-oriented projects tend to be broken up into pieces. Each piece builds on eachother and eventually leads to the final product. At each stage, the team has deliverables to showbefore the next step can take place. In a normal systems engineering approach, there are a smallnumber of key deliverables for a few groups at
STEM Education under TPACK Framework in Middle Schools1. IntroductionRecent years have witnessed an accelerated growth in the advancement and diffusion oftechnology. For example, open source hardware (such as Raspberry Pi, Arduino, e-health sensors),open source software (for operating system, embedded computing, vision, graphics, animation,robotics), 3D printers, mobile communication and computing, the Maker movement, and onlinelearning resources have democratized access to technology, unparalleled in human history.Moreover, cascading advances in machine learning, big data analytics, virtual and augmentedreality, and robotics are poised to significantly and pervasively impact our society. In thisbackdrop, it is of paramount