nanostructured materials, nano biomedicine, and superconductors. Page 22.1093.2 c American Society for Engineering Education, 2011 Nanotechnology in Undergraduate Education: Development of Experimental ModulesIntroduction This paper discusses the development of experimental modules to provide hands-onexperience for undergraduate students interested in nanoscale science and technology in theCollege of Engineering and Applied Science (CEAS) and the College of Arts and Sciences(A&S) at the University of Cincinnati. The modules
difference between the system set point value and the systemoutput. The controller output signal is Proportional to: the error, the Integral of the error, andthe Derivative of the error. The PID has the following form3: 1 u( s) K[1 Td s] (1) Ti swhere K is the proportional gain, Ti is the integral time, and Td is the derivative time. There aretimes when the derivative portion of the PID controller is not needed for satisfactory systemcontrol. A PI controller is capable to provide satisfactory control for first order systems.However, higher order systems are controlled via PID controller. The system to be controlled inthis paper is third
National Academy of Engineering‟s (NAE) 2004 report, TheEngineer of 20201, several aspects of the future of engineering have been undeniable. The worldpopulation is changing in mostly known ways and changing with it are the kinds of stakeholderneeds typically addressed by engineers. Government studies project population worldwide toincrease from 6 billion currently to 9 or 10 billion within the lifetimes of today‟s beginningengineers1 and this massive increase will bring with it more than the challenges of sheer volume.The demographic diversity of the global population is changing just as radically. To give oneexample, according to a US Census Bureau study, “If current trends continue . . . the percentageof whites will decline from the 2000 value
performance trade-offsin maintaining, replacing, or migrating a technology, component, or system.In this paper, the process of using QTF techniques to characterize the growth and diffusion ofcomputationally and numerically intensive analytical technologies [Finite Element Analysis(FEA), Computational Fluid Dynamics (CFD), Finite Difference Methods (FDM)] is detailed.This paper presents the results of testing the hypothesis that these computational tools wouldgrow along commonly found diffusion patterns. If the hypothesis were supported, such patternswould give insight to the future development of the growing use of modeling and simulation(M&S) tools and the industry rapidly developing founded on their use. If reliable trajectoriescould be
‟s College and University(larger programs) by the Carnegie Classifications system. With the vision of becoming ametropolitan research university of distinction, BSU is transforming from a teaching-based to aresearch-based university. Embracing this transformation, BSU‟s College of Engineering seeksto establish balanced workloads between teaching and scholarly activities among its faculty byproviding appropriate evaluation, rewards, and support. During the 2009-2010 academic year,the college‟s Teaching and Learning Committee conducted a survey with the full-time facultymembers to better understand their perceptions about the current workload ratio betweenteaching and scholarly activities, the current evaluation and reward systems, and
are measuring digital signals. This is a violation of Nyquist’s first rule.Most scope vendors don’t specify their scope’s bandwidth at the Nyquist frequency (fN) – butsome do. However, it is very common for vendors of waveform recorders/digitizers to specifythe bandwidth of their instruments at the Nyquist frequency. Let’s now see what can happenwhen a scope’s bandwidth is the same as the Nyquist frequency (fN).Figure 4 shows an example of a 500-MHzbandwidth scope sampling at just 1 GSa/s whileoperating in a three- or four-channel mode.Although the fundamental frequency (clock rate)of the input signal is well within Nyquist’s criteria,the signal’s edges contain significant frequency Aliasingcomponents well
expressed, Stokes’theorem can be described by considering a surface S having a bounding curve C. Here, v isany sufficiently smooth vector field defined on the surface and its bounding curve C. It isvery important to emphasize the fact that C is any closed curve in three dimensional spaceand S is any surface bounded by the said curve C. Mathematically this is written as: Page 22.257.4 ∫ (∇ × v) • dS = ∫ v • dx s cIn addition, it is important to note that when one considers only a two-dimensional space,Stokes’ theorem effectively becomes Green’s theorem.Another method of
, particularly the 1970‗s and 1980‗s, female participation in higher education inMexico was very low. This phenomenon was associated with socio-cultural stereotypes thatestablished Mexican women as mothers and wives and identified them as emotional andaffective, and therefore not ―fit‖ for schooling; this ultimately has kept them from paid workand formal education. Historically the characteristics of Mexican educational institutions havenot only affected the experiences of female students, but also have stressed traditional roles ofwomen and thus present challenges for women who venture into non-traditional fields1. Despitethis, participation of women in higher education in Mexico has increased substantially in the lastthree decades and has nearly
increasing, it is not at a rate that is fast enough. This paper looks at the issues that limit engineering women‟s opportunities for faster advancement, and shares information about a course in developing leadership capacity in women engineers, documenting progress based on interviews with alumni. Significant strides are being seen in the women that understand and practice effective leadership, and organizations that can create a supportive climate for their practice.BackgroundIn the U.S., it is no longer surprising or incongruous to see a woman as principal of a public highschool, manager of a corporate department, dean of a university college, or anchor on a localnewscast. Women have breached the barriers to such positions in concert
(11) dt Lr Lr did Lr R s M 2 Rr MRr ( )id eiq d 2 2 dt Lr Ls M ( Lr Ls M ) Lr ( Lr Ls M 2 ) Lr M Lr q ud (12
) $2061 $2062 $2063 Figure 5. Memory utilization for FIR filter implementation.Each filter is implemented in a fixed-point format3-5 in which each data contains 15 bits formagnitude and 1 bit for sign bit (Q-15 format). The 2’s complement form is used for any Page 22.1384.6negative number. The designed FIR filter coefficients are quantized into 16 bits as following: b0 0.006 215 197 , b1 0.0493 215 1615
besteducational systems in the Middle East where higher education institutions constitute aprosperous source of fresh engineers for the Gulf region and it is regarded as an engineeringeducational center in the Middle East6.Theoretical frameworkThe Theory of Reasoned Action (TRA) helps characterizing human behavior as intentional andrational. This model provides a social psychological framework proved to be useful in explainingseveral types of behavior7,8. It suggests that someone‟s Behavioral Intention (BI) depends onAttitude (A) and Subjective Norm (SN). This framework will help predicting the intention forholding a doctoral degree in engineering. The Behavioral Intention (BI) defines the objective toenroll a PhD program in the future. Attitude (A
of Second Life. Tapir Academic Press, 2009.5. Seng, J. L. K. & Edirisinghe, E. M. N. S. (2007). Teaching computer science using Second Life as a learning environment. ICT: Providing choices for learners and learning. Proceedings ascilite Singapore 2007, Nanyang Technological University, Singapore, pp. 583-586.6. Tüzün, H., Yılmaz S., M., Karakuş, T., Inal, Y. & Kızılkaya, G. (2009). The effects of computer games on primary school students’ achievement and motivation in geography learning. Computers & Education, Vol. 52, No. 1, pp. 68-77.7. García-Zubia J., Irurzun, J., Angulo, I., Orduña, P., Ruiz-de-Garibay, J., Hernández, U. & Castro, M. (2010). Developing a Second-Life-based remote lab
Attilio J. Giarola, to follow him to Seattle.Initially a professor at Seattle University, Reynolds moved to the University of Washington inthe late 1950’s. It was at Washington that Sigelmann and Giarola completed their Ph.D. degrees.Sigelmann remained at Washington and, as of this writing, is a professor emeritus living inSeattle. Nevertheless, Sigelmann has maintained an active involvement with Brazil. Giarolareturned permanently to Brazil in 1975 after working for Boeing and Texas A&M University.David A. Rogers, an American, earned his Ph.D. at the University of Washington and went toBrazil in 1972. His interest in South America began when he was a child and heard stories inchurch of missionaries in that part of the world. Reynolds and
. This is the case when all team members are involved in the decision making process and participate in problem solving activities. Timely accomplishment of goals is greatly enhanced by having an agreed upon decision making process. Avoiding the “paralysis by analysis” problem is critical to the team‟s success. In some cases, decisions must be made by consensus. Once a decision has been reached, even through consensus, all team members must accept, own and support it. Appreciation and celebration for team‟s success is also important. Human beings want to be appreciated and valued for contributions. It is the leader‟s responsibility, in many cases, to ensure that this need is met. Working in a
. Commonfeatures associated with paper-models, computer models, 2D, 3D or 4D models (common invirtual settings), or mathematical models adhere to certain characteristics. Halloun14 proposesthat knowledge needed to understand a scientific model is comprised of four dimensions: itsdomain, the overall physical system, object or referent; the composition, the context and sub-content associated with the model; the structure, including its geometry, how it interacts andbehaves within a certain physical system; and organization, the principals, laws and rules that arenecessary in explaining a particular phenomenon. Knowledge of these dimensions requiresmodeling method(s) that facilitate student opportunities to investigate science and engineeringconcepts.Another
AbstractDesign tasks are ubiquitous, complex, ill-structured, and challenging to students and professionalengineering designers. Successful designing depends on having not only adequate knowledge butalso sufficient awareness and control of that knowledge, known as metacognition. Researchsuggests that metacognition not only enhances learning outcomes but also encourages students tobe self-regulated learners who are metacognitively, motivationally, and behaviorally activeparticipants in their learning process.This article evaluates the extent to which students‟ task interpretation of the design project isreflected in their working plans and monitoring/regulating strategies. Butler and Cartier‟s Self-Regulated Learning (SRL) model was used to evaluate the
, 2011 Design in Context: Where do the Engineers of 2020 Learn this Skill?Increasingly, engineers must design engineering solutions that consider the contexts in whichthey are implemented. Examples like China‟s Three Gorges Dam, the development of next-generation fusion nuclear power, and the One Laptop per Child program illustrate thecomplexities and the stakes of current and future engineering projects. The National Academyof Engineering [1, 2] argues that the “Engineer of 2020” must not only be technically capable, butalso be able to understand the contextual requirements and consequences of their work.ABET program accreditation criteria[3] promote contextual engineering practice in several of
. Through the interaction with remotely accessible realequipment via the GUI, the users should be able to visualize the experimental process, gain afeeling of immersion into a real laboratory environment, and also be able to adjust the input andimmediately observe the experimental output. Usually, the GUI is composed of an instrumentcontrol section, an experimental input section and an experimental results section. In theinstrument control section, the options may include lighting, audio and video and dataacquisition functions. In most real-time setups, a global video view providing an overview and alocal video view zooming in on the analyzed object(s) are streamed in real time. In addition, theusers are often given the option to save the video
Doctoral students as course instructors: Three engineering teaching assistants’ socialization experiencesAbstractThe purpose of this study was to explore and understand the types of socialization experiencesthat result from engineering graduate teaching assistants‟ (TAs) roles as course instructors.Socialization refers to an individual‟s process of becoming a part of a group. In the context ofdoctoral education, socialization can be a complex area to study, largely because there are manyroles and groups for which graduate students can be socialized.Using situated learning, more specifically the communities of practice literature, as thetheoretical framework, this study looked at how three doctoral engineering TAs, with experienceas
, and the practicesetting. 1,2Magnusson, Krajcik, and Borkos (1999) proposed a refined model of PCK for science teaching.Their model includes the following five components: 1) orientations toward science teaching; 2) knowledge and beliefs about science curriculum, 3) knowledge and beliefs about student understanding of specific science topics, 4) knowledge and beliefs about assessment in science, and 5) knowledge and beliefs about instructional strategies for teaching science” (p. 97).3An overarching component of this model is that a science teacher‟s knowledge is stronglyinfluenced by the stance or generalized orientation a teacher may take within his/her ownpractice. Teachers‟ orientations have also been described as
. Combined with Oregon and Idaho, the Northwest is home to approximately 170,000(6.8%) of the nation‟s federally-enrolled tribal members3.African Americans, Hispanics and Alaska Indians/American Natives (AI/AN) together onlyaccount for 11.3% of the science, engineering, technology and math (STEM) workforce4 outsideof universities, but make up 29% of the population5. From 2000-2020, the non-Hispanic laborforce will grow by 9%, while the Hispanic labor force will grow by 77%6. Tremendous disparitystill exists in the educational achievements of adults from different ethnic groups (Table 1),suggesting that the changing demographics will create a significant workforce problem in STEMfields in the future. For example, over 41% of Hispanic students never
alumni of our graduate program who have developed new ways of thinking and acting through our leadership development process.Data on Engineers Moving into Management Figure 1. S&E bachelor‟s degree holders in management jobs by years since degree (NSF 2003)National Science Foundation SESTAT 20031 data (Figure 1) shows that increasing numbers ofengineering graduates leave the direct practice of engineering over time and move intomanagement. This NSF report also shows that there is a corresponding fewer number of Page 22.1546.2engineering graduates whose major work activity is R&D as they progress in their careers(Figure 2
probably looked at everything as its own project of how do I manage this? How do I get it done? What‟s the timeline? What are the critical tasks? – Ethan I also learned the lesson that you have to value peoples‟ life experiences beyond just what their degree, or what their … credentialed criteria might be. – Emma I‟ve also learned some of the flags for what, when interviewing for people where you kind of go … I should probably look into that a little more or should ask more about it or, beginning to understand where that line is on people who volunteer too much information and, when have they really… okay, this is beginning to show a personality issue that‟s going to be beyond where I want to
application, starting at $14,000 for a model with a maximumflow velocity of 0.3 m/s and a 70 in2 test cross-section, much less than the 400 in2 test cross-section needed.This paper describes the conversion of a pre-existing 24 foot diameter 4 foot deep above-groundpool into a variable flow-rate “water tunnel” facility using $500 of additional equipment. Steadystate flow rates of 0.89 m/s are achieved using an 80 pound thrust (rated) trolling motor poweredby a pulse-width-modulated motor controller drawing approximately 970 W of electrical power.Calculations indicate that approximately 400 pounds of rated thrust will be required to reach ourgoal of 2.0 m/s flow rates near the outer edge of our pool river simulator.1 Introduction and Motivation1.1
needs are important, how they‟re symbiotic, theirevolution, what was learned, and where it should be repeated.IntroductionThe products offered for sale by American retailers sometimes indicate that everything we buy isprobably made overseas. These products imply that domestic manufacturing has become a fadedconcept. The truth is not found on consumer sales receipts. In fact, the United States is still theworld‟s largest manufacturing economy, producing 21percent of all manufactured goods6, andvalued at $1.64 trillion6 in 2008. The size of this amount is difficult to digest, but by itself, $1.64trillion would represent the world‟s 8th largest economy6. This group of domestic manufacturersemployed 9% of the total workforce, or nearly 12 million
technologie supérieure, Montréal, Québec, Canada during the course of Basic LinearControl Systems.The circuit under study is shown in Figure 5.Figure 5 Circuit under studyTheoretical ReviewFollowing an appropriate network analysis method, it can be concluded that the transferfunction of the circuit is expressed as: Kω 2n G (s) = 2 , (1) s + 2ζω n s + ω 2nwhere: K = 1, 1 2 − ( Ra / Rb ) ωn = , and ζ = . RC 2
first year of graduate school, most students are asked to do a literature searchfor a class, or are beginning to look at prior work as they decide on a focus for their thesis,dissertation, or Master‟s project. At that point, they realize that they will not be able to findeverything they need with their current set of Web-searching tools and skills.Engineering librarians are challenged to engage with these new students at just the right time.Properly marketed, online tutorials may provide part of the solution. This paper explores how theauthor used citation analysis and discussions with faculty, students, and colleagues to design aset of tutorials that teach graduate students both how to find what they need, and why they needit in the first
] (8)It can readily be seen from equations (8) that X 1 ≡ 0 on choosing k2 m2 = ω 2 (absorbercondition). Other conditions on the choice of k2 and m2, such as limiting the amplitudes of X2, Page 22.247.7and / or restrictions on the allowed new natural frequencies, are then applied.Consider the following numerical values, in which the forcing frequency is close to the originalnatural frequency: m1 = 10 Kg, k1 = 2000 N/m, F1,0 = 100 N, ω = 13.5 rad/s. Note that theoriginal frequency is k1 m1 = 14.14 rad/s which is quite close to 13.5 rad/s. The absorbercondition gives: k2 m2 = 13.5 rad/s. The amplitude of X2 is F1,0 /k2 and this
expertise in modeling architectures for complex engineering systems such as transportation, infrastructure, water resources and energy distribution using computational intelligence techniques He is the founder and Boeing Coordinator of the Missouri S&T’s System Engineering graduate program. Dr. Dagli is the director of Smart Engineering Systems Laboratory and a Senior Investigator in DoD Systems Engineering Research Center-URAC. He is an INCOSE Fellow 2008 and IIE Fellow 2009. He has been the PI, co-PI, or director of 46 research projects and grants totaling over $29 million from federal, state, and industrial funding agencies Dr. Dagli is the Area editor for Intelligent Systems of the International Journal of