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2013 ASEE Midwest Section Conference

Authors

Stephen A. Dyer; Frederick Burrack; Craig Weston; Kenneth Medema; Linda Head; Philip Mease

Crushing Stereotypes, Making Connections, and Encouraging Creativity: Music and Engineering S. A. Dyer,1 F. W. Burrack,2 C. A. Weston,3 K. P. Medema,4 L. M. Head,5 and P. Mease5 1 Department of Electrical and Computer Engineering 2 Office of Assessment, and School of Music, Theatre and Dance 3 School of Music, Theatre and Dance Kansas State University, Manhattan, KS 66506 USA 4 Ken Medema Music, Grandville, MI 49418 USA 5 Department of

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2013 ASEE Midwest Section Conference

Authors

Russell Feldhausen; Scott Bell; Daniel A. Andresen

activity involved the use of a simpleto build and explain high performance computing (HPC) experiment. Students attending this HPCsession were given a brief background covering the breadth of uses for HPC in today’s world, atour of the Beocat cluster 1 , and then spent time working with a wind forecasting simulation builtusing the Scratch development environment 2 . This activity allowed the students to see the benefitsand limitations of multi-threaded applications, and a post-session survey of participants showedthat many of them felt confident in their ability to learn computer programming, and over halfwould consider pursuing a career that involved using HPC to solve problems.BackgroundThis outreach activity was sponsored by the K-State Office

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2013 ASEE Midwest Section Conference

Authors

E. Carl Greco; Jim D. Reasoner; Scott Jordan

Efficacy of an Individualized, Self-Contained Instrumentation System in Electric Circuits Laboratory E. Carl Greco1, Jim D. Reasoner1 and Scott Jordan2 1 Electrical Engineering & 2Mathematics Departments Arkansas Tech UniversityAbstractA study was performed to evaluate the efficacy of a teaching protocol employing anindividualized, self-contained laboratory system for instruction in a fundamental electricalcircuits laboratory. For purpose of evaluation, students were divided into three groups withacademic matching between two of the groups. The control group utilized traditional laboratoryequipment and performed

Collection

2013 ASEE Midwest Section Conference

Authors

Fred Guzek; Kathy Brockway; Troy Brockway; Sue Guzek

it tends to facilitate building a community of inquiry. Communities of inquiry incorporatethree elements: cognitive, social, and teaching presence. The type of interactive dialogue thatcan be facilitated through blended learning fits the widely accepted processes facilitating criticalthinking and higher-order learning.1 The application of blended learning in this course wasaugmented by the inclusion of live interactive video and audio conferencing, as well as onlineposting of class recordings, allowing place and time bound students to participate fully in thegroup work, exercises, and discussions.Educational research indicates that high-impact educational practices HIP) augment studentengagement and retention. Such practices include studies

Collection

2013 ASEE Midwest Section Conference

Authors

Dustin Ewing; Aaron King; J.W. Clark; Steven Pihl; Raju Dandu

human error, ensuring optimal consistency between materials, and allows for the opportunity to operate the system using a PLC in the future. Current Method Ideal MethodPROJECT OBJECTIVE ACKNOWLEDGEMENTSBuild, install, and test a new metering apparatus for introducing 1/100 cu.ft. of material

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2013 ASEE Midwest Section Conference

Authors

Kirk D. Kimery; Robert C. Murphree; Osman A. Martinez; Kevin R. Lewelling

donated an H2 drive and designed/built acustomized BEV motor. ADKO and REEM/RUUD have also contributed machine shopservices. It has connected students with practicing engineers to share knowledge/experience.Battery Electric Vehicle (BEV) Background Information A 2008 Pontiac G5 has been converted to a BEV using an 8 Hp induction motor, 21 kWLI battery, and 5-speed transmission. Figure 1 shows the BEV. Figure 2 shows dynamometertesting of battery voltage for various loads; a 6.2% voltage sag occurs at 145 Nm; this sag isacceptable and will not disable the drive.BEV Drive Design and Construction The H2 drive has been tested under dynamic driving conditions with limited success; asshown in Figure 3 below, the drive will disable when

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2013 ASEE Midwest Section Conference

Authors

Cindi Mason; Janet Twomey; Lawrence Whitman

Use of a Probabilistic Neural Network to Assign Engineering Student Attrition Risk Factor Cindi Mason, Janet Twomey Ph.D., & Lawrence Whitman Ph.D. Wichita State University [Keywords: Retention, Probabilistic Neural Network, Attrition]1. Abstract The increased focus on student recruitment and retention has led to various studies oncorrelation between student attributes and attrition. The purpose of this study was to improve theability to identify students at risk of attrition by utilizing a probabilistic neural network (PNN) asa non-linear prediction model. This model was built using two cohorts of students at WichitaState

Collection

2013 ASEE Midwest Section Conference

Authors

Charles McIntyre

.  Identify organizations and professional societies that are relevant to your interests and goals.  Extract and transcribe (write down) important points presented by the guest speakers.From these revised course objectives a number of assignments were develop. Each assignmentdirectly correlates to each of the course objectives, as shown in Table 1. Table 1. CM&E 111 Assignments Assignments Title Points #1 Construction Terminology and Accreditation 10 #2 Materials Estimate (group assignment) 10 #3 Ethical Dilemmas

Collection

2013 ASEE Midwest Section Conference

Authors

John L. Krohn

Design of Experiments: Student Response to an Experiential Learning Approach John L. Krohn, Professor, Mechanical Engineering Arkansas Tech UniversityAbstractABET Student Outcome b) calls for engineering programs to demonstrate that students have “anability to design and conduct experiments, as well as to analyze and interpret data”1. Ourdepartment, as likely have many others across the country, has historically addressed thiscurriculum requirement with instruction in statistics and uncertainty analysis either in lab orother courses. Does presenting the fundamentals of statistical analysis, uncertainty and errorpropagation truly give students the

Collection

2013 ASEE Midwest Section Conference

Authors

Michael Mefenza; Franck Yonga; Christophe Bobda

330fps; thisincludes the time to read a frame from the camera, to process it, to put it into the memory.Keywords: FPGA, computer vision, video and image processing, prototyping, verification,high level specification, OpenCV, SystemC, Linux, education.IntroductionVideo and image processing applications are widely used in most human activities. Many ofthese applications are implemented or prototyped using OpenCV, a library which containsoptimized implementations of many common computer vision functions targeting desktopprocessors and GPUs. Due to the need of mobility and performance, they are moving from thecomputer-based systems to small, embedded platforms and distributed smart cameras [1].Moreover, the trend in electronic design and automation

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2013 ASEE Midwest Section Conference

Authors

Daniel R. Miskin; W. Roy Penney; Edgar C. Clausen

ranging 𝑚3 𝑔𝑎𝑙from 2.2-2.8 ℎ𝑟 (9.8-12.2 𝑚𝑖𝑛 or gpm). The jet force was 3.5-19.8% higher than the calculatedforce due to gravity based on the mass of the deflector (𝐹𝑔 = 𝑚𝑔), indicating that there areexperimental errors which need to be corrected.IntroductionEngineering has its roots in applied science and mathematics, blending the skills of analyticalthinking, design and problem solving. Clearly, engineering students benefit from the “hands-on”aspects of their education such as co-ops/internships, research and undergraduate laboratories.Despite this fact, there has been a pedagogical shift toward classroom and lecture-basedengineering education, and away from laboratory education, over the past 30 years.1-3

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2013 ASEE Midwest Section Conference

Authors

Julia L. Morse

Encouraging an Engineering Mindset amid Skill Practice In the Freshman Manufacturing Processes Lab Julia L. Morse Kansas State University – Salina CampusAbstractAt Kansas State University’s Salina Campus, Mechanical Engineering Technology students areintroduced to Manufacturing Processes as part of the freshman experience, leading up to adesign-to-build project in the end of the second semester.1 Although the classroom content andlab discussion topics attempted to address engineering problem-solving and design decisions,student course evaluations revealed that for many, their focus in the lab was on basic machineoperation procedure. Students

Collection

2013 ASEE Midwest Section Conference

Authors

Thomas Mertz

Criteria for Accrediting Engineering Technology Programs statesthat a desired capability of Engineering Technology graduates is “a commitment to quality,timeliness, and continuous improvement.” [1]Continuous improvement is the ongoing effort to improve products, services or processes. Thereare a number of formal continuous improvement methodologies, including Six Sigma, Lean andTotal Quality Management. [2]It was not my goal to teach such continuous improvement methodologies. Instead, I had threegoals: (1) Address quality, timeliness and continuous improvement as a roughly defined workethic that conscientious professionals practice daily. (2) Compel, as much as possible, thestudents to practice it. (3) Do this in a course that I regularly

Collection

2013 ASEE Midwest Section Conference

Authors

Robert M. O'Connell

facilitateconceptual learning [1], and that student-centered active learning can result in a deeperunderstanding of the concepts in question [2]. Furthermore, when active learning is conducted inan extensively group-based learning environment, students also develop various professionalskills, such as problem-solving, written and oral communication, independent learning, teamwork, etc. [1]. One group-based learning strategy that is popular with the author and which hasbeen used successfully in many academic settings both outside and within engineering is team-based learning TBL [3-9].The author has been using various forms of student-centered learning, particularly TBL,successfully in various undergraduate courses for three years. The success of using TBL

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2013 ASEE Midwest Section Conference

Authors

Emilio C. Piesciorovsky; Noel N. Schulz

Protection Power System Course and Smart Grid Laboratory Integration Burns & McDonnell – K-State Smart Grid Laboratory Emilio C. Piesciorovsky and Dr. Noel N. Schulz Electrical and Computer Engineering Department, Engineering College, Kansas State University 1. Introduction 4. Experiment and Demonstration 5. ConclusionsIn the spring of 2013, the Protection Power System 4.1 Objectives

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2013 ASEE Midwest Section Conference

Authors

Md. Mamunur Rashid; Mahbub Ahmed; Khalil Dajani; Jobaidur Rahman Khan; Haider Bhuiyan

, students respond to a number of questionsthrough a numerical rating (i.e., 1 through 5). These questions can be divided into two categories.In Category 1 questions, students evaluate themselves based on their learning experience.Examples of Category I questions include, “Were you prepared for class?” or “Were youintellectually challenged by the course plan?” Based on students’ feedback, a numerical index,known as the Student’s Self-Evaluation (SSE) Index can be calculated. The SSE is the averagevalue of students’ rating in response to each question. A higher index value typically indicates ahigher level of students’ satisfaction of their learning experience, and lower index value can beinterpreted as a lower level of students

Collection

2013 ASEE Midwest Section Conference

Authors

Michael C. Reynolds

course meets two days a week and is typically a course for firstsemester freshman. The pre-requisite is placement in either a pre-calculus math course, CalculusI, or higher level math. The course is designed to be interactive and team based. Each week anew topic is delivered and there is typically some type of group exercise related to the topic.Much of the work is done in groups, but some work is done individually as homework as well.The two topics with the greatest emphasis are vector mathematics and computer programming.Table 1 shows the topics of the course by week. With vector mathematics students learn whatvectors are and some of the things they can represent. Students learn how to add vectorsgraphically as well as analytically. The class

Collection

2013 ASEE Midwest Section Conference

Authors

David C. Paulus; Daniel M. Settlage

whichUAF classes are taught on the UAFS campus via video link for the second two years of thecurriculum.Because of technical difficulties with the live video link system, Blackboard Collaborate wasused instead, and a screen-shot is shown in Figure 1. Students would log-in to Collaborateduring normal lecture time and participate in the live lecture by pushing their “Video” and“Audio” buttons in Collaborate to be seen and heard by the rest of the class. Students could alsouse a “Chat” feature to make comments and ask questions by typing. The instructor’s Audio andVideo link were always engaged, and live lectures were given using PowerPoint slides and bywriting and drawing on the “white-board” feature in Collaborate using a Bamboo brand tabletand

Collection

2013 ASEE Midwest Section Conference

Authors

Tom C. Roberts; Shagun Sharma

6 to 7 weeks of the course focused on student self-assessment: Covey’s 7-Habits, Myers-Briggs,time management, personal goal setting, resumes and dress for success. The course text changed fromCovey’s 7-Habits of Highly Effective People to Rath’s StrengthQuest in 2010 in collaboration with uni-versity leadership studies program. Course instruction throughout the semester included guest speakers(campus & industry professionals) with support from learning assistants.During the last 7 weeks of the course students were introduced to Continuous Quality Improvement(CQI) concepts including the Deming Improvement Cycle (Figure 1). Other course topics included: teambuilding, ethics, leadership concepts, and, project management tools (scheduling

Collection

2013 ASEE Midwest Section Conference

Authors

Kellie Schneider; Heath A. Schluterman; Candace Rainwater

this paper, we present the eight projects developed for the course along with anassessment of students’ perceptions associated with the theme-based projects.IntroductionThe Freshman Engineering Program (FEP) at the University of Arkansas (UofA) was establishedin 2007 with the primary objective of increasing the retention of new freshman in the College ofEngineering (CoE) to their sophomore year. This objective supports college-wide retention andgraduation rate goals. Thus far, there have been increases in both retention and graduation ratesas shown in Figures 1 and 2. Therefore, we believe we are providing our students with a solidfoundation for success in engineering study.A key component of the FEP is the Introduction to Engineering (Intro

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2013 ASEE Midwest Section Conference

Authors

Thomas O. Spicer; Edgar C. Clausen

up to date with current developments(the importance of life-long learning).Results and DiscussionAs would be hoped, the number of corrections on each “Pop Quiz” went down over the course ofthe semester, but no data about the number or type of corrections on papers were collected. In anattempt to determine the effectiveness of this approach, an anonymous student survey wasconducted. Seventeen students were surveyed, and the results are shown in Table 1. All studentsin CHEG 4332L in spring 2013 participated in the survey. The survey was distributed at thefinal Drill session, and students were given the entire class time to complete it.Table 1. Feedback from the student survey (N = 17)Question Response

Collection

2013 ASEE Midwest Section Conference

Authors

Madhulika Srikanth; Abu S. Asaduzzaman; Ramazan Asmatulu

Beware of High Tech Cheating Techniques and Their Effects on Engineering Education 1 M. Srikanth, 2A. Asaduzzaman, and 1,* R. Asmatulu 1 Department of Mechanical Engineering 2 Department of Electrical Engineering and Computer Science Wichita State University, 1845 Fairmount, Wichita, KS 67260-0133 *Email: ramazan.asmatulu@wichita.edu; Tel: (316) 978-6368AbstractCheating is an immoral way of achieving higher graders in the schools by breaking the rules andregulations and gaining an unfair advantage in this competitive environment. This dishonestbehavior has

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2013 ASEE Midwest Section Conference

Authors

Steven Colgrove; Adam Svoboda

capture.GetWindowDC, Acquire the device context of the window and create a compatibleCreateCompatibleDC device context for the bitmap.BitBlt [1] Perform a bit-block color transfer of the data from the source device context into our bitmap objectPrintWindow Used to send a redraw to windows whose borders are not rendered using GDI, but DirectX (Windows Aero/DWM, Vista+).Technical Challenges One of the most challenging parts of the project was a result of a TCP socket sizelimitation in Windows XP. Initially, images transferred over the network were only partiallyreceived on the other end. The maximum TCP buffer size in Windows XP is 17,520

Collection

2013 ASEE Midwest Section Conference

Authors

Lin Wang; Si Ma; Haifeng Yan

Section Conference of the American Society forEngineering Education 3 inter-culture communication, the adaptability of different working environments, the competence of information searching and processing, and the favorability of teamwork.Basic Structure of Practicum PlanExperts from administrative and enterprise sections in related areas of the railwayindustry participate in drawing up of the practicum plan and work with educators inour department to build the basic structure (as Figure. 1).The structure design follows the rules of learning sequence. For example, the abilitytraining should be carried out from easy projects to harder ones gradually

Collection

2013 ASEE Midwest Section Conference

Authors

Amaka Waturuocha; Laura Ford; Christi Patton Luks

Pursuing a Personalized Program to Prepare for an Academic Career at an Engineering Department without a Formal Teaching Curriculum Amaka Waturuocha1, Laura Ford1, Christi Patton Luks1 1 University of Tulsa, Tulsa, OK, USAAbstractTypically, when applying to graduate school for doctoral programs, students are not 100%certain of the route their careers will take: industry, academia or both. Most times though, theylean more towards one of these options. In such a case the potential graduate student tailors theirapplications /interests to schools with the kind of curriculum that fits their particular needs. Oncein graduate school

Collection

2013 ASEE Midwest Section Conference

Authors

Joseph Strathman; David C. Macke; Steve E. Watkins

Steve E. Watkins Missouri University of Science and TechnologyThe IEEE AESS Student Chapter at the Missouri University of Science and Technology(Missouri S&T) is developing an unmanned aerial vehicle (UAV) for student competitions, suchas the UAV Outback Challenge (www.uavoutbackchallenge.com.au/). This competition,sponsored by the Australian Research Centre for Aerospace Automation, lends an opportunityfor student-led teams to improve designs for autonomous, search-and-rescue vehicles. Thesecond-generation UAV for Missouri S&T is based on a fixed-wing airframe designed incollaboration with an Aerospace Engineering Senior Design class to meet requirements of 1) aflight time of approximately one-hour, 2) a load

Collection

2013 ASEE Midwest Section Conference

Authors

Wade Winfrey; Kale Morris; Coady Morris; Raju Dandu

the camera. We considered a couple ways to do this. We could either modify theexisting hardware to accommodate the new servos and gear drive system or completely redesignand build a new frame. It was decided that designing and building a new frame was out of thescope of this sophomore design project.At this point, servos and gears needed to be selected and ordered. For the pan, we used thesmallest possible gear that would fit comfortably on the shaft of the original frame and still offerenough space to mount it to the tilt assembly. Then a simple 2 to 1 gear reduction system wasused to maintain only 180 degrees of servo rotation. Bushings were designed to mount the freegears to the existing frame at the right heights. For the tilt, a 1 to 1

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2013 ASEE Midwest Section Conference

Authors

Richard Zajac

, bendy line of black electrical tape to its dead-end and back in the shortest amount of time (a.k.a. “Line Follower”); Maneuvering through a rectangular-grid maze, whose dimensions are usually provided in advance (a.k.a. “Maze Madness”); Fine-tuning the robot’s speed as it crosses a series of irregularly spaced lines so as to maintain an average rate of one line crossed per second (a.k.a. “Speed Limit”); A one-on-one duel to force a competitor’s robot out of an area designated by a black surface (“SumoBot”).These events provide problem-solving challenges to small teams of 1-5 students, to be solvedwithin the contraints imposed by the limited contents of a standard Lego Mindstorms kit and thelimited time

Collection

2013 ASEE Midwest Section Conference

Authors

Lee Gatton; Saeed Khan

priced. Ofthese a kit consisting of a blood pressure monitor, activity monitor, and weight scale wasselected from Lifesource. Also an oximeter was selected from Contec. To this setup was added aHP Mini-Dell netbook computer to provide a platform for running the robotics software(Microsoft Robotic Development Suite), the monitoring software, conversational software andthe interfacing software. The MS Kinect motion sensor will also be added to this mobileplatform to provide more accurate location and mapping as well as human detection.A pictorial diagram of this setup is show in Figure 1.Proceedings of the 2013 Midwest Section Conference of the American Society for Engineering Education Figure 1 Robotic platform and

Collection

2013 ASEE Midwest Section Conference

Authors

William Pepper; Caleb Crawshaw; Chester Ewing; Eddie Rego; Raju Dandu