pass, high k Exam 2 Problems 1,2pass and band pass filters. Page 13.258.34) Analyze, assemble, test and measure the Experiment 12 Lab 2.81 Class B poweroperation of transistor based Class A and b, c, d, e, g, reports & 2.5/4.0 2.18 amplifier componentClass B power amplifiers, both series fed k Exam 2 Problems 2.08 of instruction will beand transformer coupled types. 3,4,5,6,7,8 & altered to
AC 2008-557: GRADUATE LEARNING THROUGH ENGAGEMENT:EXPERIENCE IN ENVIRONMENTAL REMOTE SENSING STATION DESIGNJeffrey Marston, Western Carolina UniversityBrian Howell, Western Carolina UniversityJames Zhang, Western Carolina UniversityRoger Clapp, WATR Page 13.650.1© American Society for Engineering Education, 2008Graduate Learning through Engagement: Experience in Environmental Remote Sensing Station Design Jeffrey Marston†, Brian Howell†, James Z. Zhang†, and Roger B. Clapp‡ † Department of Engineering and Technology, Western Carolina University, Cullowhee, NC 28723 ‡ Watershed Association of the Tuckaseegee River, Bryson City, NC
thetechniques used for the adjustment of observed measurements. Perhaps it was just the result ofinnate judgment that resulted in the methods for adjusting measurements to agree with knownphysical relationships. For example, it is obvious that the sum of the interior angles in a circle asshown in Figure-1 must be equal to 360º. Σ (A + B + C + D) = 360º A Plane Geometry of a Circle Page 13.1252.2 D B Fig 1 C (Defined relationship
addressed by the program under scrutiny as a necessary step towardaccreditation (please see http://www.abet.org for more detailed information). In the sake ofclarity, these criteria are listed below and will be referred to in the rest of the paper. An engineering technology program must demonstrate that graduates have: a. an appropriate mastery of the knowledge, techniques, skills and modern tools of their disciplines, b. an ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering and technology, c. an ability to conduct, analyze and interpret experiments and apply experimental results to improve processes, d. an ability to apply creativity in
bottom of the K-map, as well as, the sides attach to one another. Following theserules gives the simplest possible Boolean equation for a given function. Page 13.846.5Figure 1, demonstrates a common error that takes place when performing groupings in a K-Map.In this figure, two separate loops are created. This particular looping of a K-Map produces theexpression X = A B + A B . This expression is clearly in violation of the rule, grouping into thelargest possible group. Figure 1Figure 2, demonstrates the proper method of grouping the same K-Map. In this case, a singlegrouping of 4 is created with the
Student GPA Mechanics Calculus Physics Course 1 2.635 B- B- B- B+ 2 3.588 A- B+ A A+ 3 3.06 B+ B B- A- 4 3.143 B C+ C+ INC 5 3.786 A B A B 6 3.682 A- B+ A A+ 7 3.196 B+ A- B+ A- Remote Average
interactive, innovative workshops aretaught by practicing professionals whose real world involvement, language and style give themimmediate credibility with students. These business and industry leaders help to expand thetheoretical world of the college experience. Some of the proposed workshops would cover: (a)Teambuilding and Teamwork, (b) Creating and Maintaining Professional Portfolios, (c)Developing a Resume, (d) Making Effective Presentations, (e) Knowing Yourself – True Colors,(f) Developing a Career Plan; (g) Corporate Culture and You, and (f) Graduate SchoolOpportunities. Class structure The class met once a week for three hours each time, and usually had most of the followingelements: o Group discussion of brain teasers (led by a
toeveryone to ponder and contemplate at any time and can serve as a model for researching otherdisciplines.Forty years ago, mathematicians exhibited pride in their ability to hide geometric or visual representationsof mathematical concepts. The mathematics reform of the 1990’s sanctioned the representation offunctions as single valued curves. More remains to be done. Currently, Proof Without Words is anongoing feature of the MAA monthly, The College Mathematics Journal. Examine the wonderfulcompilations, Proofs Without Words 1 and Proofs Without Words II 2 by Roger B. Nelsen. Examine alsoMath Made Visual by Claudi Alsina & Roger B. Nelson 4. While mathematicians may enjoy the puzzlesprovided by Proofs Without Words, an effective pedagogical tool
toeveryone to ponder and contemplate at any time and can serve as a model for researching otherdisciplines.Forty years ago, mathematicians exhibited pride in their ability to hide geometric or visual representationsof mathematical concepts. The mathematics reform of the 1990’s sanctioned the representation offunctions as single valued curves. More remains to be done. Currently, Proof Without Words is anongoing feature of the MAA monthly, The College Mathematics Journal. Examine the wonderfulcompilations, Proofs Without Words 1 and Proofs Without Words II 2 by Roger B. Nelsen. Examine alsoMath Made Visual by Claudi Alsina & Roger B. Nelson 4. While mathematicians may enjoy the puzzlesprovided by Proofs Without Words, an effective pedagogical tool
control of piezoactuators component wasdeveloped and implemented at VCU. The three collaborators shared information during thedevelopment and assessment process. The results from all three schools were compiled andanalyzed by the collaborator at VCU and an expert from the Education Department at VCU. Theresults were then communicated with the other two collaborators to further refine thecomponents for the next development and implementation phase.The Expected Learning OutcomesAfter being exposed to the piezoactuator module, students should be able to: (a) understand thefundamental concepts of modeling and control of piezoactuators, (b) transfer the knowledge tosolve engineering problems at higher levels of abstraction, (c) recognize mechanical
periods. Before stating Sarkovskii theorem which is afundamental2 theorem on periodicity, we need to define the Sarkovskii ordering ofintegers.Sarkovskii order of integers The following order of all positive integers defines theSarkovskii‘s order; here a <= b indicates that a precedes b in the order:3 <= 5 <= 7 <= 9 <= . . . <= 2 . . . 3 <= 2.5 <= 2 . . . 7 <= 2.9 <= . . . <= 22.3<= 22.5 <= 22.7 <= 22.9 <= . . . <= 2n.3 <= 2n.5 <= 2n.7 <= 2n.9 <= . . . <= 24 <= 23<= 22 <= 21 <= 20.That is, we start with the odd numbers in ascending (increasing) order, then 2 times theodds, 4 times the odds, 8 times the odds, . . ., and at the end we list the powers of 2 indescending
in project economics andengineering statistics.The Base CaseWe first examine a risk-neutral utility maximizing decision-maker with a utility function givenby U *$ X + ? Xu , where u is the unit of utility.b The base case is depicted in Figure 1. The Page 13.1335.2decision-maker faces a choice between investing in a project or doing nothing. If he invests, theunconditional probability of success is estimated to be 0.15 with a payoff of $500. Theunconditional probability of failure is estimated to be 0.85 with payoff of -$100. If he doesnothing, the payoff is $0. The expected utility of node B is computed as follows:EU *B + ? 0.15U *$500
index i(t), respectively. Page 13.538.10 (a) (b)Figure 2: LabVIEW implementation of Chowning FM instrument showing (a) block diagram and(b) front-panel controls configured for “wood-drum” instrument. Page 13.538.11 (a) (b)Figure 3: LabVIEW implementation of interactive FM equation showing (a) block diagram and(b) front-panel controls. Sliders and a knob facilitate easy manipulation of the
, 0.150 mole/min Nnp -Molar flow rate of the non-permeate exit stream as measured by the rotameter,1.86 mole/min (Yxx)p –Component mole fraction of the permeate stream measured by sensors as 42 mole% O2 and 60 mole% N2 where xx represents either O2 or N2 (Yxx)np - Component mole fraction of the non-permeate stream measured by sensors as 19 mole% O2 and 84 mole % N2 where xx represents either O2 or N2 Thus, an overdetermined system of linear equations is formed, having matrix format representedby the classical Ax=b system of linear equations (eq. 4). The symbol A is an m by n matrixconsisting of the coefficients of the Np and Nnp flow streams in each equation; x is an n-vectorrepresenting the molar
orientations of parasitic elements, for which parameters are chosen to be the same in the xand y directions at each point. The links are drawn, where possible, so that all quantities(including angles) have positive values. In Figure 4, angle s3 is instantaneously negative.Drawing link 3 as in Figure 5 makes it clear that y B 3 ? y G 3 / A3 G3 sin 3 . A common student Page 13.1168.6error would be to examine Figure 4 and state that y B 3 ? y G 3 - A3 G3 sin 3 . The positiveorientation of Figure 5 also facilitates consistent definition of spring displacements as positive intension, and assignment of the correct algebraic sign to resulting constraint forces
Figure 1. NI LabVIEW, W, Ex Example of actor-oriented, graphical programming ng languages lanIn order to better understand howw act actor-oriented, graphical programming languagess are better b for teachingdesign, let us take a simple exampl xample of acquiring and presenting data from an external
architecturesthat are suited to such low-bandwidth scenarios is the Batched version of the MIT iLabArchitecture 1, 2, 3, 4, 5. The iLab Batched architecture is referred to as “iLab-B” in this paper todistinguish it from the iLab Interactive architecture. The iLab-B architecture separates thevarious parts of a VL in such a way that only a very small amount of data needed to configurethe remote system under test needs to go through the low-bandwidth uplink, while all other datalab-related activities are done locally. As a result, the MIT iLab-B architecture was an idealplatform upon which to base the development of a new Operational Amplifier virtual laboratory(“OpAmp Lab”) hosted at Obafemi Awolowo University, Nigeria.II. Architecture OverviewOpAmp Lab
. Analyze system response using mathematical models. B-4. Validate control theory with experimental results. E-3. Design controllers using the root-locus method. G-1. Produce lab reports explaining lab activities and results. K-3. Write PLC programs, simulate system response. K-4. Use MATLAB software for analysis.A-2, A-7, B-4, etc. indicate links back to the program-level performance criteria.The course outcomes are measured by assigning problems targeting these skills on homeworkand exams. For example, to measure A-2, two questions on homework 1, and one question onexam 1 were asked. Exam 1 also contained two questions targeting A-7 and a question for B-4.At a first glance this seems to be an
to nano learning. Using digital calipers and microscopes the hands-on activities focus on studyingsize variations of identical Lego pieces (quality control), leaves, flowers, samples of microchips, opticalfibers, human hair, and spider silk. The impact of the learning modules reported in the present studyseems very high because they explain (a) technologies that are in the market today as well as thetechnologies that are going to be in the market in the near term, (b) how these technologies are used tobuild complete systems or Microsystems, and (c) what technologies will be used to build Nanosystems.Introduction The macro (fabrication of cell phones) and micro (fabrication of microchips) technologies, which areresponsible for ever
to nano learning. Using digital calipers and microscopes the hands-on activities focus on studyingsize variations of identical Lego pieces (quality control), leaves, flowers, samples of microchips, opticalfibers, human hair, and spider silk. The impact of the learning modules reported in the present studyseems very high because they explain (a) technologies that are in the market today as well as thetechnologies that are going to be in the market in the near term, (b) how these technologies are used tobuild complete systems or Microsystems, and (c) what technologies will be used to build Nanosystems.Introduction The macro (fabrication of cell phones) and micro (fabrication of microchips) technologies, which areresponsible for ever
POLY command, between the potential across the resistor in Figure 3 (b) and the potential across the circuit elements in Figure 2. The initial potential on the capacitor is zero which constitutes the initial condition C(0) = 0 #/cell. Formulation of an equivalent circuit model that encompasses the dynamic behavior of thesystem is not unique. Figure 3, parts (a) through (e), illustrate the generation of the variouscircuit parameters associated with the network shown in Figure 2. Branch current and nodepotential relationships to specific parameters or variables are indicated on the circuit diagrams asrequired for clarity. Figure 3. Equivalent circuits for generation of parameters and branch currents for
recognized as one of the strongest influences on academic scientists’ and engineers’productivity1 and satisfaction2. Perceptions of climate reflect policies, practices, and interactionsat both a local level, as within a lab or department, and at more global level of the college oruniversity. The Collaborative on Academic Careers in Higher Education (COACHE), anemerging voice from Harvard University about faculty careers, measures climate to include (a)personal and professional interactions with colleagues, (b) opportunities for collaboration, (c)sense of fit, (d) intellectual vitality of the senior faculty, (e) fairness of evaluation, (f) equitabletreatment, and (g) support for professional development. Perceptions of climate at the more locallevel
eligible)took advantage of the program based on the program survey compared to 37 in the previousacademic year (a 27% increase). Of these, 17 were electrical engineering majors compared to 11in the previous year (a 54.6% increase). B2B FALL 2006 SUBJECT COVERAGE TUTORS MON TUE WED THU FRI A 8:00AM B 9:00AM PHYSICS MATH C 10:00AM PHYSICS MATH D 11:00AM MATH
critical. This decision is often based on a number of factors, including pastexperience, skill, and time availability of the owners’ project staff. Additionally, the ownersmust also decide on their priorities. The four main criteria for the success of any project are cost,quality, time, and safety. There are many viable project delivery methods available today. Thefollowing three approaches are the most popular construction project delivery methods: Design/Bid/Build (also called the Traditional Delivery Method) Construction Manager @ Risk (CM@R) Design/Build (D/B)Design/Bid/Build ApproachThis is the traditional project delivery method, and is sequential in nature. The owner selects anarchitect and/or engineer to design the
shown in Figure 1. Again,the symbol used in the feature control frame indicates the tolerance zone within which theindicated edge or surface is to lie.Figure 1. Straightness of (a) surface element, and (b) axis.When tolerance is called out to at least one datum, the tolerance zone depends heavily on thetype of datum and the controlled feature as is evident for parallelism1 in Figure 2. Tolerance zone is Tolerance zone is tw o planes tw o planes Tolerance zone is a cylinder Datum is plane Page 13.1145.4
of circle approximated by an n-sided regular polygon using three possible mathematical scenarios. Tutorial 4 Rotating and repeating Analyze a given composite diagram to determine a basic figure. regular figures. Compile the commands to draw the basic figure. Compile nested repeat commands to draw the composite figure. See the example in Figure 2(b). Page 13.1084.5 Tutorial 5 Procedures. Compile procedure as a building block in programming
fig. 5. a b Figure 4. Obscure patterns Page 13.1202.5 Figure 5. Student designs that use patterns2.3. Exploit SymmetryIf the part is symmetric, only a part of the whole component needs to be constructed. Then, itcan be mirrored to obtain the final part geometry. This approach reduces the dimensioningrequirements, and provides greater flexibility. An architectural triangular ruler (see fig. 6) modelcan be simplified by recognizing and exploiting symmetry. The modeling sequence for the ruleris shown in fig. 7
comparing performanceresults from alternative activation functions in extensive experiments. The performance functionutilized is mean square error (MSE). All models were developed using Matlab version R2006bfrom Math Works Inc. The detailed model structures and setup parameters for these four ANNmodels developed are shown in table below. Page 13.222.7Table 1. Model descriptionModel ID A B C D Combination
environment Exploit 8 System technology qualified 9 Technology has successful mission operations Figure 1. Technology Readiness Levels The TRI is important because it is accepted for risk identification and analysis. The levels are defined in great detail in the DOD literature but they can also be summarized concisely and usefully as shown in figure 1. The limitation of the TRI is that it was designed to assess components and cannot handle the diversity of concepts and expectations involved in determination of a whole new technology. It was the starting point for the work described in this paper. b. The risk attaching to
Motivating Engineering Mathematics Education with Game Analysis Metrics David I. Schwartz Rochester Institute of Technology Department of Information Technology GCCIS, 70-2509 +1 585-475-5521 dis[at]it[dot]rit[dot]eduAbstractIn this paper, I develop a system for computational analysis of games that uses scoring functions tomotivate engineering mathematics education. Although many modern videogames have abandoned pointsas an archaic form of representing victory (or defeat