the process of image acquisition at aforementioned frequencies. Initially thefrequency is set from the front panel and the user can click on run camera from the front panel toacquire an image at the corresponding frequency and amplitude illustrated in the above table.This process is repeated until images of all the bands of interests have been acquired and stored.The images are viewed in the LabView environment by using the IMAQ (Image Acquisition)software.LabView is a development environment based on the graphical programming language G.LabView relies on graphical symbols rather than procedural language in describingprogramming actions. All LabView programs, or virtual instruments (VIs), have a front paneland a block diagram. The front panel
composition and thus itsemission wavelength or wavelength detection range. This experiment was designed by HelenKantes (EE ‘96) as part of her independent project in the spring of 1996. She conducted the labfor the students in the Optoelectronics Materials and Devices course including collecting studentevaluations, developing a grading scheme, and initial grading.In the remaining labs, students worked in groups of two. Each lab session included two groupsand each experiment included two sections. Thus it took several lab periods for the entire classto perform the experiment. This was necessary due to the expense of the equipment in theBucknell Optoelectronics Laboratory and the impracticality of having duplicates as well as thedesire for students to
better align curriculum initiatives with the needs of the employers.PANKAJ KOHLI is a doctoral candidate in Marketing in the Ph.D. Program at Rutgers, The State University of NewJersey. His research interests include marketing channels, marketing-technology and marketing strategy interfaces,and structural equations modeling applications. Page 3.64.8
required? Or maybe, on-the-job experience itselfprovides for a lifetime of learning and development? The National Society of ProfessionalEngineers (NSPE) completed a two-year study of approximately 1000 employers in industry andgovernment in the early 1990’s; this study identified employers’ interests when evaluating apotential employee and sparked considerable discussion. Generally, graduates were assumed topossess technical skills; however, soft skills such as teamwork, leadership, communication andinterpersonal skills, analytical ability, personal initiative, and self-confidence were identified asareas for evaluation in the hiring process. In general, these skills and attributes are desired inaddition to basic competency in mathematics
more homeless. Because earthquakes are impossibleto predict, preventive measures to reduce earthquake induced damage are critical to ensuringinfrastructure integrity after such events, as the Haitian quake all too graphically illustrates.Introducing civil engineering undergraduates to the concepts of earthquakes and discussing theimpact of earthquake induced damage to the built environment is one method for showingstudents some of the preventative measures. Fortunately, teaching undergraduates aboutearthquakes and engaging them in discussions on the damage they can induce to the builtenvironment is not a new concept. One example of a successful initiative is the UniversityConsortium on Instructional Shake Tables (UCIST)2, the primary goal of
priority for each alarm can be set to Journal (logonly), or to enunciate with Low, High, or Urgent priority. The DCS system typically stores thedate and time that all alarm events occur including the initial alarm, its acknowledgment by theoperator, and when the alarm returns to normal. This information is available for inspection bythe control engineers and others as needed.One of the tasks of process engineers during Layer of Protection Analysis (LOPA) studies fortheir projects is to suggest alarms based on Process Safety Analysis (PSA) analysis to determinewhich potential alarms are critical and which are not. The purpose of our D&R module is toprovide our process engineering graduates with a better understanding of the role of alarms
Google sites to make a website for every project each week. These sites areavailable for anyone to view. After completion of the required labs, all students complete areview of everyone they worked with during the labs as needed to fulfill ABET requirements.The collection of student report websites can be found at 8.3. Final Project Design and CompetitionMotivations and RequirementsUpon completion of the initial seven weeks of the semester, the final project design competitionphase of the course begins. Students are required to choose a project, submit a proposal,implement their designs, and finally compete against their classmates in the final competition.Students are challenged in many ways; as they will not only complete the necessary design
AC 2010-847: ELEVATOR CONTROL SYSTEM PROJECTDavid Loker, Pennsylvania State University, Erie David R. Loker is Associate Professor and Program Chair of the Electrical and Computer Engineering Technology Program at Penn State Erie, The Behrend College. He holds an M.S. degree in Electrical Engineering from Syracuse University. His research interests include wireless sensor networks, data acquisition systems, and communications systems. Page 15.450.1© American Society for Engineering Education, 2010 Elevator Control System ProjectAbstractAs part of the requirements in a junior
ASCE website in more detail. This may be an indicationof student research methods of just using a search engine and browsing the first responses ratherthan reading through information in detail. In general, the instructor was pleased with thedeliverables that the students submitted. One student submitted efforts related to a type ofinfrastructure that what was not assigned to that class. Students demonstrated initiative to searchout and find information. The instructor considers the variability in grade processes as a positiveas it indicates students did not mimic each other’s work. The positive instructor reflection hasfaded with time but the overall sense of the assignment is still positive. However, improvementscan be made to the assignment
Masters program with 150 students, areadministered by 4 departments with a combined fulltime faculty of 38 and a professional staff of5. Page 15.1271.2Our experience parallels other institutions in seeking new and better ways to addressaccreditation and assessment planning1-9. Given the level of work required to demonstrateprogram achievement and faced with substantial teaching, research and service loads, programadministration must be streamlined. Since continuous improvement and embedded outcomeassessment is an integrated effort on the part of faculty, small efficiencies become magnifiedwhen applied across the College.Continuous ImprovementOver
confidence in producing useful simplified models on their own (and thus empower themto apply these engineering tools in other courses and in future employment). The approach toachieving these goals is uniform across all modules. All modules follow the same format - a realsystem, an abstraction phase, a modeling/simulation phase, and an animation phase. By adheringto a fixed format, the student learns that there is a logic in analysis and design and that followingthis logical approach allows large problems to be attacked in a systematic manner.Students are made aware of the learning goals and are presented with a baseline example that“works” in each of the modules. Thus they can see how their animation should behave, both fromthe initial video and
unreasonable order to complete the project. research. amount of outside project. assistance. The technical skills Student was able to Student was able to Student developed in pre- apply technical skills apply technical demonstrated an requisite courses from pre-requisite skills to the project exemplary ability were not evident in courses to the project design. Careful to apply a variety the design of the design. The software consideration was of technical tools project. The project code was acceptable
AC 2010-986: HYBRID COURSE FORMAT FOR PROJECTS IN ROBOTICSHakan Gurocak, Washington State University, Vancouver Hakan Gurocak is Director of School of Engineering and Computer Science and Associate Professor of Mechanical Engineering at Washington State University Vancouver. His research interests are robotics, automation, fuzzy logic, technology assisted distance delivery of laboratory courses and haptic interfaces for virtual reality. Dr. Gurocak is an ABET Program Evaluator for mechanical engineering. Page 15.659.1© American Society for Engineering Education, 2010 HYBRID COURSE FORMAT
the drawing sets as measured by the higher scoresin their capstone assignment.BackgroundThis research attempts to investigate the difficulty in the adaptation of open-ended design Page 24.906.2problems in the Graphical Communication Curriculum. This is done with the use of a personaldesign project in which all design decisions are left to the student. This encourages a higherlevel of involvement and brings to the forefront the need to be accurate in the use of properdimensioning. This is a reasonable assumption given that the student is now aware that they aretrying to communicate their own idea and not attempting to replicate a problem
that they are “almost universal” and explored how they operate, their composition,and their effectiveness4.These advisory boards are often comprised of program alumni, who are able to bring their ownexperiences from both the classroom and the office into these meetings. Other members ofteninclude professionals from allied disciplines to round out the board and provide both breadth anddepth to the collective knowledge of the group. The board comes together one or more times Page 24.914.2during the academic year to advise the program on the state and direction of the profession andindustry as well as act as a sounding board for new initiatives
Paper ID #9272RFID Reader System ProjectProf. David R. Loker, Pennsylvania State University, Erie David R. Loker received the M.S.E.E. degree from Syracuse University in 1986. In 1984, he joined General Electric (GE) Company, AESD, as a design engineer. In 1988, he joined the faculty at Penn State Erie, The Behrend College. In 2007, he became the Chair of the Electrical and Computer Engineering Technology Program. His research interests include wireless sensor networks, data acquisition systems, and communications systems.Mr. Stephen A. Strom, Penn State Behrend Stephen Strom joined the faculty of Penn State Erie, The
a rough idea of how to do basic vector manipulation before coming to class,but even if they had read the rules beforehand, the games always started out slowly. Studentstook more time than needed to discuss initial moves. Similarly, after the first set of moves therewas hesitation because the students had to face the fact that every subsequent thrust generates aresultant movement vector composed of all previous thrusts for the following move. Usually byturn three or four students had developed confidence, and turns began to move more quickly.Usually by the completion of four turns, teams were working together efficiently, and morecompetent team members had coached the confused members to a point where they were caughtup with the concepts
, University of Wyoming. He is a senior member of IEEE and chief faculty advisor of Tau Beta Pi. His research interests include digital and analog image processing, computer-assisted laser surgery, and embedded control systems. He is a registered professional engineer in Wyoming and Colorado. He authored/co-authored several textbooks on microcontrollers and embedded systems. His book, ”A Little Book on Teaching,” was published by Morgan and Claypool Publishers in 2012. In 2004, Barrett was named ”Wyoming Professor of the Year” by the Carnegie Foundation for Advancement of Teaching and in 2008 was the recipient of the National Society of Professional Engineers (NSPE) Professional Engineers in Higher Education, Engineering
onstudent learning is widely covered in research literature. 1,2,3The first strategy is to connect engineering mechanics concepts to occurrences in their everydaylives. This allows us to build on our students’ current knowledge. For example, whenintroducing Newton’s second law of motion, we discuss the law of shopping at Costco wheremost students have been enlisted to push the cart for their families. We draw the connectionbetween the force required to change the velocity of the cart and the quantity of bottled liquid inthe cart. Often we also present the same demonstration in class with a chair on wheels. Thechair alone can be accelerated with a small force, where as a chair loaded with a student requiresconsiderable force to accelerate.Secondly
report in the Wall Street Journal read (Chakravorty 2010): “Recent studies … suggest thatnearly 60% of all corporate Six Sigma initiatives fail to yield the desired results.” The report suggeststhat lack of adequate knowhow for performing sophisticated statistical analysis is one of the reasonsfor the high rate of failure.Dr. T.N. Goh, an international consultant, and an Academician of the International Academy forQuality, was lamenting the inadequacy of Black Belts he had come across in statistical know how:“Black Belts using conventional Six Sigma procedures on service systems could end up with resultsthat could not stand up to serious scrutiny of a good statistician…The tragedy is doubled if the BlackBelts are not even aware of their own
Paper ID #7133The Use of Symbolic Solvers in Mechanical Engineering EducationDr. B. K. Hodge, Mississippi State University B. K. Hodge is Professor Emeritus of Mechanical Engineering at Mississippi State University (MSU). Prior to retirement, he served as the TVA Professor of Energy Systems and the Environment and was a Giles Distinguished Professor and a Grisham Master Teacher. Since retirement, he has continued to be involved in teaching and research at MSU. Hodge has served as President of the Southeastern Section of the ASEE and Chair of the Mechanical Engineering Division of the ASEE. He is a Fellow of the American
both here in the US and aroundthe world and the need for Fair Trade practices.5.0 EvaluationStudents were evaluated both quantitative and qualitatively. Students were assessed for theirknowledge of the code of engineering ethics, of methods of greenwashing, and sustainabilitytopics using quizzes. The green city designs were also evaluated to determine if there weresufficient resources to meet population need and the resources were allocated equally among theproposed population and the proposed environment. Students were evaluated qualitatively duringthe in class activities. During Paper vs. Plastic, students were assessed on their initial position,their final position, and their contribution to the follow up discussion as they realized how
report is graded based upon a pass-fail criteria and a standardized grading rubric. Labgroups of two students are given the opportunity to revise failed lab reports with tokens. Initially,each lab group has two tokens with the opportunity to earn more during in-class discussions orextra credit assignments. Specification grading is geared towards meeting a minimum set ofstandards, but allowing the teaching assistants and myself to offer technical writing criticism. Thegoal is to help the class improve technical writing skills or at least maintain a reasonable qualityfor professional engineers.The lab handouts are hosted on GitHub 18 as interactive Jupyter 19 notebooks. Students access aserver to process example test data, enter their experimental
, while an actual clinical problem, did not have aclient. That problem was summarized through this ill-framed problem statement: “Neurology patients may undergo the same neurological tests upwards of three times a day, including in the ER to assess initial patient condition. Your team project is to create an electronic device that will make a subjective neurological test both quantitative and objective.” Student teams chose a neurological test to render objective and quantitative. They researchedand wrote a structured problem statement [3], engaged in design, and produced a workingprototype. A design report was due at the end of the semester. Figure 1: Timing of changes and assessments. The original curriculum
shown as the blue line, and the appropriate f (Re, /d) fornumerical scheme such that an initial estimate is chosen specific (/d) is red. There are two intersections as shown, onefollowed by iteration. There are several limitations: corresponding to a higher Re1 with a higher V1 and the other a (i) Number of iterative steps depends on how far the first lower Re2 with a lower V2. Note that only one solution can beguess is away from the actual solution and there is no guideline found using the conventional method. Here both intersectionas of how to choose its value in the first place. The subsequent points satisfy the governing equations. However
. powered tools can analyze historical project data to predict risks and suggest mitigation strategies, or they can streamline This paper examines how AI is reshaping graduate-level process improvement initiatives by identifying inefficiencies inProject and Process Management courses, specifically its real-time.impact on learning objectives and student engagement. Thestudy examines how AI can be integrated into coursework to Despite these benefits, there are significant challenges inenhance learning without undermining educational course integrating AI into these courses. Over-reliance on AI can
Paper ID #49751Evaluating the Suitability of Different Intraoral Scan Resolutions for DeepLearning-Based Tooth SegmentationDaron Marshall Weekley, Marshall University Daron Weekley is a Graduate Student in the Department of Computer Science at Marshall University. He has a master’s and bachelor’s degree in biology from West Liberty University. Before entering the computer science field, Daron was published for his work in research labs specializing in neuroscience and microbiology.Jace A McPherson-Duckworth, Marshall University Jace Duckworth, Undergraduate at Marshall University with an interest in AI researchAnastasiia
developing countries, and small hospitals to afford these pieces ofequipment. In past years several recalls of neonatal incubators were initiated in United States,due to multiple reasons including heater vent door on neonatal incubator may malfunction,medical device malfunction may affect instrument's calibration and alarm systems, neonatalincubators and beds may unintentionally move from a safe position following an interruption inthe power supply”[2] and “the power board which controls the incubator heater may not regulatethe temperature properly resulting in a high temperature alarm and a loss of temperature controlwithin the patient compartment.”[2] Modern Incubators are expensive, costing upwards of$40,000 or even higher. [8] Some state-of-the
ways to codify theirexperiences. In their first ever project done during architectural education, students are asked todevelop a cantilevered structure made of toothpicks and glue that would be able to support abrick. Interestingly, there are hardly any questions asked regarding the project in the initial stagesof assignment. Students feel it is self-explanatory and expect it to be an easy assignment untilthey start working on it. This seemingly simple project exposes students to a wide range of issuesranging from basic modeling techniques to understanding of structural behavior and materialcharacteristics. Some students start the project by immediately building study models and follow thedesigning-while-doing approach. Others
notation “NS & FS” and a hyperlink would take them to a bookmark in another part of the e-book. Here one would find a definition of the term along with associated images to help explain what the term means. Initially we were having problems creating bookmarks and it was not intuitive as how to solve the problem. After much time and research, we