AtmosphericAdministration (NOAA) Climate Prediction Center (CPC) seasonal data to compute the PalmerDrought Severity Index (PDSI). The accuracy of the model is validated using the historicalrecords of drought indices and available seasonal temperature and precipitation data provided bythe NOAA CPC. The results of the forecasts produced by this model will be compared with theobserved drought indices and validated. The mean error rate and root mean square error (RMSE)methods are used to measure the accuracy of the forecast at stations for validation. The validatedmodel can be used in classroom and laboratory settings for general engineering studies.1. IntroductionDrought is a part of the natural variability consists of various hydrologic interactions such
Department of the University of Central Florida. Before joining Texas A&M International University he was a Researcher at Los Alamos National Laboratory in Los Alamos, New Mexico. Page 23.528.1 c American Society for Engineering Education, 2013 Enhancements to a Propulsion DemonstratorAbstractThis paper presents enhancements to a propulsion demonstrator that illustrates how a rocketworks. The operation of the original system is manual and collection and display of useful datais not possible. The updated system consists of the following major components: (1) a computer
AC 2012-4826: DESIGN OF A MOBILE ROBOT AND USE OF RFID FORFAST WEREHOUSINGDr. Masoud Fathizadeh, Purdue University, Calumet Masoud Fathizadeh has been with the Department of Electrical and Computer Engineering Technology since 2001. He has worked more than 15 years both for private industries and national research labs such as NASA, Argonne and Fermi National Laboratories. Fathizadeh has established his own consulting and engineering company in 1995 and performed many private and government projects. His areas of interests are, control systems, power systems, power electronics, energy, and system integration. Fathizadeh is a registered Professional Engineer in the state of Illinois.Mr. Joseph Edward Cody, Purdue
Page 23.886.2traditional books on EEG, this paper will attempt to concentrate on pattern recognition,identification of rhythms and waveforms. It also explains the laboratory setup of a conventional10-20 electrode based EEG monitoring station using modern data acquisition tool and softwarefor EEG feature extraction. Students will begin their analysis by looking at frequency, amplitude,distribution or location, symmetry, synchrony, reactivity, morphology, rhythmicity, andregulation and correlate the characteristic appearance on the EEG with existing conditions,certain pathology, and drug or electrolyte effects.A diagnostic tool using Java programming has been developed. The graphical user interface willbe used in conjunction with EEG monitoring
AC 2010-1626: ON TEACHING THE OPERATING PRINCIPLES OFPIEZORESISTIVE SENSORSRichard Layton, Rose-Hulman Institute of Technology Richard A. Layton is the Director of the Center for the Practice and Scholarship of Education (CPSE) and an Associate Professor of Mechanical Engineering at Rose-Hulman Institute of Technology. He earned a B.S. in Engineering from California State University, Northridge, and received his M.S. and Ph.D., both in Mechanical Engineering, from the University of Washington, Seattle. His areas of scholarship include student team management, assessment, education, and remediation, undergraduate engineering laboratory reform focused on student learning, data analysis
illustrate that; DOE can improve tracking and shipping performance and improve item level of monitoring of valuable plants. (1) Data collection Appropriate statistical test for data analysis, for this study Design of Experiments (DOE) will be used.Data Collection and Data AnalysisThe data is collected in laboratory environment with minimal interference from external factorssuch as metal objects and interference from other antennas. For this experiment, the antenna andthe receiver were connected above each other on a wooden pole. Antenna height was fixed at 3.5feet from the ground. This set up has been shown in figure -3. When a tag is placed facing theantenna, its reading is taken for 20 seconds. All RFID readings are taken for to
asignificant improvement in understanding of the theory and positive attitudes regarding the expe-rience.IntroductionOur university’s philosophy is that students learn best through a combination of lecture and labexperiences and industry feedback indicates that our undergraduates are unparalleled at hittingthe ground running and working with real world problems. While many have reported on theeffectiveness of including hands-on laboratory exercises to enhance learning [1], these labs areexpensive and there is pressure to eliminate them in the times of increasing budget pressure.This study suggests that the cost is justified because learning outcomes are significantly im-proved compared to a lecture only course.Mechanical Controls is a four unit
laboratory experiments.However, troubleshooting of equipment and complex machines are not given sufficient attentionfor a typical industrial setting during regular engineering coursework. Purdue UniversityNorthwest’s Outcome Based Education allows students to gain hands-on experiencetroubleshooting complex circuits, machines, and their subsystems.In order to familiarize students with troubleshooting and identifying equipment failures, theresurrection of a relatively complex and non-functional NovaMill 3-Axis CNC Milling Machineis selected as a Capstone Senior Design project. The objectives of this project include identifyingthe different sub-systems of the machine, isolating each sub-system, testing and documentationof initial status, identification