can be obtained from the relevant articles.4.1 Engineering System Diagnostics and Prognostics [30, 33-36, 40-43] Feature selection is an important issue in many real-world problems. Hybrid CI techniques have beenproposed for feature selection in machine condition monitoring, detection, diagnosis and prognostics.Figures 1(a), (b) and (c) show the role of a hybrid CI combination (GA and PNN) in separation of thedata clusters for machine condition detection compared to principal component analysis (PCA). Theclassification success the CI (100%) is much higher than PCA (66%) [35]. Proceedings of the 2011 ASEE Northeast Section Annual Conference, University of Hartford Copyright © 2011, American Society for
– students need to be currentlyenrolled in a German class to apply for the trip. The two accompanying faculty are eitherGerman professors or German speaking engineering faculty. ******Retention of engineering students is of national and international concern since a globalizingworld needs ever more culturally savvy and technically adept graduates to fulfill the work forcedemands of companies operating globally. The literature on retention of engineering studentswidely agrees that the freshmen year is of critical importance [4a,b]; that only about 40-50%[5,6] graduate with an engineering degree. Many students who excelled in high school in theSTEM disciplines do not have a good understanding of what
programs. The following list of examples demonstrates the nature of feedback we required to debug our programs: a. “The robot tracked the object for a little while then stopped..” b. “The program crashed when the first can crossed the broken-beam detector” c. “The operator pressed the interrupt button while the robot was tracking but nothing happened” 4. The remote student has nothing equivalent to a teach pendant, and this prevents the students from completing a small but important portion of the laboratory exercise. Even if the remote student had a teach pendant, the video image is not close enough for precise positioning. A remote teach pendant would also require careful
) Lectures and Discussions, (b) Lab activities: Hands-on computer experience, and (c) Team Project.In this paper, we will present the developed course outline, the response of our students who arepre- and in-service teachers, and the lessons learned by the instructors.Introduction In everyday life, people use devices such as cell phones, iPods and digital cameras, whichuse audio and image processing technology. Although Ngoh and Saleh (2010) in an article titled“Is technology a curse or a blessing to our students of today”, it was clear that thesetechnologies can be used in classroom applications to motivate students and make sciencerelevant to their learning. Despite some minute issues revealed as the dark side of technology forstudents, it was
hand of toy if placed in a ch hild’s mouthh. Images o f the studennt’s experiments are fouund inFig 2, shhowing how w the studen nts conducteed the expeeriments in controlled ssurroundingss andcollected d respective data. d (a) (b) (c)Fig. 2: Student condducted expeeriments of safety s and iimpact testiing of a Smuurf Toy (a) h hand sensorr submerged d in water to t simulate moisture m annd testing off conductiviity, (b) impaact testingg on a masss balance sca ale and (c) images
the complexity of learning structured-code atthe very beginning.9. REFERENCES[1] Papert, S., Mindstorms: Children, computers and powerful ideas, New York: Basic Books, 1980.[2] Committee on Information Technology Literacy, National Research Council, Washington DC,“Being fluent with information technology”, 1999.[3] Soloway, E., Should We Teach Students to Program, Communications of the ACM, 36(10), 21-24,1993.[4] Jenkins T., The Motivation of Students of Programming, Proceedings of ITiCSE 2001, pp 53-56,2001.[5] A 2007 Model Curriculum for a Liberal Arts Degree in Computer Science, ACM Journal onEducational Resources in Computing, Vol. 7, No. 2, Article 2, June 2007. [6] Gibbs, N. E. and Tucker, A. B., A Model Curriculum for a Liberal Arts
sciencedirect.com.[9] J. Sandler, J. Kirk, I. Kinloch, M. Shaffer, and A. Windle, “Ultra-low electricalpercolation threshold in carbon-nanotube-epoxy composites”, Polymer 44, pp 5893-5899(2003), available online at sciencedirect.com.[10] G. Neudeck, “The PN junction diode”, Addison-Wesley (1989).[11] L. Hench and J. West, “Principles of Electronic Ceramics”, John Wiley and Sons(1990), ISBN 0-471-61821-7.[12] T. Kaplan, L. Gray, and S. Liu, “Self-affine fractal model for a metal-electrolyteinterface”, Physical Review B 35, pp 5379-5381. Proceedings of the 2011 ASEE Northeast Section Annual Conference University of Hartford Copyright © 2011, American Society for Engineering Education
Microelectronics/VLSI Technology program at UMass Lowell. Heholds his Ph.D. from University of South Carolina. He is a registered Professional Engineer,P.E., in the State of Commonwealth of Massachusetts. He is the ASEE’s campus representativeat the James B. Francis College of Engineering. He is also the transfer coordinate and thegraduate Semiconductor/VLSI certificate coordinator. He has been teaching and has an industrialexperience of 40+ years. He is the author of over 200 theses, dissertations and papers publishedand presented in journals/conferences of national and international repute. 7. AcknowledgementsThe author is highly grateful to the sponsors of the program from the Hi-Tech Industry leadersand the
intended to help students understand how and why engineers andscientists build knowledge. It makes research methods less abstract to the students and helps them learnto draw the connection between hypothesis formulation and well-designed experiments that buildknowledge. The activities encourage students (a) to explore their mental models for hypothesis testing,research, and experimentation, (b) to refine their models and to investigate connections among relatedconcepts, (c) to apply experiment design concepts and principles in order to create experiments and toreason about hypothesis-testing without recourse to the manipulation of equations, (d) to developproblem-solving skills anchored in an understanding of fundamental concepts and principles
Using a Game Based Learning Tool in a Freshman Chemical Engineering Course Nese Orbey1, Molly Clay2Problems that chemical engineers face on a daily basis involve many unknowns that need to be optimized. Toinitiate this concept early on in chemical engineering curricula, a game based software (developed by ProfessorTWF Russell, University of Delaware, http://www.mht.che.udel.edu) was used as a part of an introductory freshmanclass at the University of Massachusetts Lowell. The course was presented over a two week period with a lectureflowed by a lab session during each week. The students were in small groups in the lab session (instructor to studentratio 1:9) and each had an access
A Mechatronics Course at Roger Williams University Matthew R. Stein Assistant Professor of Engineering Roger Williams University Bristol, Rhode Island, 02809 mstein@rwu.edu AbstractThis paper describes the Mechatronics course developed at Roger Williams University and offered in theFall 2010 semester to juniors and seniors in the Mechanical Engineering Specialization. The course is anovel combination of lecture and laboratory experiences conducted in an electronics teaching
COLLEGE CHEATING – A SIX YEAR FOLLOW-UP Vance Poteat Departments of Computer Science and Electrical Engineering Merrimack College vance.poteat@merrimack.edu Abstract According to various researchers, between 25% up to and in excess of 90% of all college students engage in some form of cheating. Traditionally, cheating includes inappropriate collaborations on a homework assignment, a cheat sheet hidden up a student’s sleeve or more recently on the back of a water bottle label, as well as those wondering eyes during an exam
PREPARING ENGINEERING CONTENT FOR A KINDLE E-READER Faculty PaperInnovations In Engineering & Engineering Technology Education and Curriculum Development or Web-based Learning Ladimer S. Nagurney Department of Electrical and Computer Engineering College of Engineering, Technology, and Architecture University of Hartford West Hartford, CT 06117 nagurney@hartford.edu AbstractE-book readers, such as the Kindle, are becoming more popular due
DEVELOPING A RENEWABLE ENERGY TECHNOLOGY COURSE WITH AN INTERNATIONAL COMPONENT Faculty Paper Incorporating Study Abroad in an Engineering Technology Curriculum Barbara Fleck Engineering Department Maine Maritime Academy bfleck@mma.eduThe U.S. Department of State Bureau of Education and Cultural Affairs (ECA) iscurrently funding a program to increase opportunities for engineering technology studentsto participate in international education. This program, “Capacity Building for StudyAbroad”, provided funds for eight faculty members
DIRECT MEASUREMENT OF STUDENT OUTCOMES WITH A PIPE NETWORK DESIGN PROGRAM John Finnie & Neil Fennessey Department of Civil & Environmental Engineering University of Massachusetts Dartmouth jfinnie@umassd.edu INTRODUCTIONDirect measurement has become an essential part of the assessment and evaluation of ABETStudent Outcomes. One of the possible ways to accomplish a direct measurement is to documentstudent performance on specific parts of an assignment. Student performance on specific partsof the assignment can be compared over time and conclusions drawn regarding
A Novel Method of Teaching Dimensional Analysis and Similitude By Dr. Scott Grenquist Associate Professor Department of Electrical Engineering and Technology College of Engineering and Technology Wentworth Institute of Technology AbstractDimensional Analysis and Similitude are two of the most important concepts that any Engineering student can master.However
OpenTok™: A Free Open Source API for Video Conferencing in Distance Education Jerald D. Cole University of Bridgeport Department of Instructional TechnologyAbstractOpenTok™ is a free open source software application that supports synchronousonline instructional delivery via video/audio conferencing. When used in conjunctionwith a remote screen sharing solution, it is possible to realize a virtual experiencecommensurate with (if not superior to) that of a traditional “ground-based” classroom.This paper covers the advantages of synchronous delivery
RFID DESIGN, SIMULATION, AND IMPLEMENTATION Faculty Paper Multidisciplinary Research Akram Abu-aisheh1, Omar Hassan2, and A. Y. Al-Zoubi2 1 Department of Electrical and Computer Engineering, University of Hartford, USA 2 Department of Communication, Princes Sumaya University of Technology, Jordan abuaisheh@hartford.eduAbstractManufactures, retailers, and government agencies are tracking, securing and managingsupplies from the time they are raw materials through the entire life of the product. Theycommonly use Radio-Frequency Identification (RFID) to identify pallets, containers,vehicles, tools and other
as the energy-per-unit-charge (joules/coulomb) at apoint in space; voltage is the potential difference between two points, i.e. subtract thepotential at point A from the potential at point B to give you the voltage (VAB). For anyelectric circuit, even one in which the current is zero, the electric field can be determinedto be a single unambiguous solution in space and time. Since the negative gradient (i.e.derivative) of the voltage equals the electric field, the voltage is derived by solving anindefinite integral of the electric field. To the solution of this integral, one must alwaysadd an arbitrary constant. Hence, the voltage is a unique and unambiguous solution withan added arbitrary constant [1]. Proceedings of the 2011
cost of question development and the2012 ASEE Northeast Section Conference University of Massachusetts LowellReviewed Paper April 27-28, 2012 Figure 8: (a) Sensor problem plot (b) Sensor questionsystem expense lead one of the conclusion that the cost can be justified if the test items will be used enoughtimes, for example for practice and examination in several offerings of a large course. However, we also notethat the autograding systems take the same time to grade N variants of a problem as N identical versions,which would not be true for human grading.Analysis of variantsA problem with use of random
conditions are satisfied. The main point ofconsideration is analysing and limiting the level of production for each unit.5 Modelling of Transmission LossesThe relation for the losses is based on the matrix B defined as follows: PL = PT [ B ] P + PT B0 + B00 (5)Where P : A vector showing the net MW of all generating units [B] : A square matrix with dimesions equal to that of the vector P B0 : A vector with length equal to that of P B00 : A constant valueThe equation (5) can be rewritten as follows: n n n PL = ∑∑ Pi Bij Pj
with extensive customer interface.References[1] J. Goentzel, L. Manzione, R. Piberink, J. Pruett, and B. Thiessen. “ StrategicDevelopment of Specialized Testing and Remanufacturing in a Global High Tech SupplyChain.” International Journal of Manufacturing Technology and Management, 11(1)P28, 2007.[2] Arntzen, B., Brown, G., Harrison, T., and Trafton, L. (1995), “Global supply chainmanagement at Digital Equipment Corporation,” Interfaces, Vol.25, No.1, pp. 69-93.[3] Beamon, B. and Fernandes, C. (2004), “Supply-chain network configuration forproduct recovery,” Production Planning and Control, Vol.15, No.3, pp. 270-281.[4] Cohen, M. and Huchzermeier, A. (1998), “Global Supply Chain Management: ASurvey of Research and Applications,” in Tayur, S
ClassesThe first four bits of an IP address determine the class of the network. The class specifieshow many of the remaining bits belong to the prefix (aka Network ID) and to the suffix(aka Host ID). The first three classes, A, B and C, are the primary network classes. Wheninteracting with mere humans, software uses dotted decimal notation; each 8 bits istreated as an unsigned binary integer separated by periods. IP reserves host address 0 todenote a network. 140.211.0.0 denotes the network that was assigned the class B prefix140.211. See Table 3UDP TaskThis task is used to stream ADC values to the remote. So it is functioning only when aTCP/IP connection has been established.The following flow chart descries the process ofthe task. See figure 7
career related aspects (see Table 1, II Characteristics of the Job). We interpretedtheir responses as falling into common reasons such as: a) ability to get a job, b) desire toimprove the world, c) financial stability and rewards, d) available job opportunities, and e)prestige. An example response to question 2 “State your main reason”: “The education of both an electrical and mechanical engineer is important because you can get into a job with both fields and have an advantage.”The above quote is typical of the 4 respondents who have a perception that they will have bothjob opportunities in electronics and mechanical engineering giving them a wider choice of jobs.13 respondents expressed a desire to improve the world. The purely
teaching method in physics23. It was also shown to improvestudents’ performance in science classes4. The method can be described in the followingsteps: (a) Students are given the “ConcepTests” designed as multiple-choice questions.(b) Students anonymously use “clickers” to input their first-round tentative decidedanswers through independent thinking. (c) Students are shown the histogram of thevoting results of the whole class. (d) Students form groups to include different answers todiscuss and debate their choices. (e) Students are given the chance to revise their answers.(f) Final histogram is revealed and the correct answer is explained by the instructor.Descriptions of the two courses implemented with the peer instruction methods: A peer
University of Hartford Copyright © 2011, American Society for Engineering Education (a) (b) (c)Fig. 1. Photographs from the teacher workshop: (a) participants building their structures; (b)completed structure; (c) structure during testing on shake-table. Results and DiscussionIn order to evaluate the impact of the workshop on the teachers and students, the participantswere provided with a pre-activity survey and a post-activity survey. The intent was to obtainobjective comparisons of the participants’ pre- and post-workshop self-reported knowledge, levelof interest, and comfort level in
). Proceedings of the 2011 ASEE Northeast Section Annual Conference University of Hartford Copyright © 2011, American Society for Engineering Education[17] Oware, E., Capobianco, B., and Diefes-Dux, H., “Young Children’s Perceptions of Engineers Before and After a Summer Engineering Outreach Course,” Proceedings of the Frontiers in Education Conference, (2007).[18] Cocozza, J., “An Innovative Science and Engineering Outreach Program,” Proceedings of the Frontiers in Education Conference, (2007).[19] Robinson, M., Fadali, M., Ochs, G., and Quinn, R., “How Do High School Mathematics and Science Teachers Cover Engineering and Technology?” Proceedings of the
coefficients are b2 = 0.5 and b1 = -0.5. The IWT low-frequencycoefficients are aa2 = 1.0 and aa1 = 1.0 and the IWT high-frequency coefficients are bb2 = -1.0 and bb1 = 1.0. The WTis applied to the individual pixel rows and columns of a given image or video frame. This is done separately for theluminance (Y) and chrominance (U,V) components of the different pixels of each row and column. It can also be donefor the R, G and B planes.Let's define a set of yis to constitute the different values of one such component of a given row or column of an imageor video frame. Let's also define a set of xis to be the corresponding WT low-frequency values and a set of zis to be the 2corresponding WT high
. 44, pp. 418-431, 2001.[7] E. E. I. Lawler, et al., Eds., Doing research that is useful for theory and practice. Lanham, MS: Lexington Books, 1999, p.^pp. Pages. 7[8] D. A. Schön, The reflective practitioner: How professionals think in action. New York: Basic Books, 1983.[9] A. U. Dreher, Foundations for conceptual research in psychoanalysis. London: Karnac Books, 2000.[10] F. N. Kerlinger and H. B. Lee, Foundation of Behavioral Research, 4th ed., 4th edition ed. New York: Thomson Learning, 2000.[11] G. W. J. Dyer and A. L. Wilkins, "Better stories, not better constructs, to generate better theory
measured by performanceon class examinations. Does this homework system produce students that perform better on finalexaminations? The second outcome will be measurable downstream. Will this cadre of studentsautomatically turn to simulation in general or SolidWorks in particular to validate their deign assumptions?This question will be investigated in future publications.1 W. Whiteman, K. Nygren, Achieving the Right Balance: Properly Integrating Mathematica SoftwarePackages into Engineering Education. Journal of Engineering Education, July 2000.2 B. Hodge, W. Steele, A Survey of Computational Paradigms in Undergraduate Mechanical EngineeringEducation. Journal of Engineering Education, October 2002.3 A. Mazzei Integrating Simulation Software into