teacher assigned ID andpassword (Fig. 5). After that s/he can select any module s/he likes to work on (Fig. 6), in thisstep, the program will tell the student how many time s/he has already tried. If the maximumtrial time is met, the system will not allow her/him to continue on this particular module. Page 14.643.7 Figure 4: Programming logic for accessing the database. Figure 5: GIVE model log in system Figure 6: Module selectionFigure 7(a) gives the overall picture of the course module. In Fig. 7(b) a movie clipcorresponding to the question is playing. In the movie clip, important aspects are highlighted
backscatteredlight are very important in a detection system.2. Theory of reflectance optical detection systemThe physical requirement necessary for an optical system in order to detect multiple numbers ofchromopores is to have light sources of specific wavelength with different absoptivity pattern.The light attenuation between the source and the detector can be written as follows: ⎛I ⎞ − log10 ⎜ out ⎟ = ODλ ⎜I ⎟ (1) ⎝ in ⎠where I in is the incident light, I out is the detected light, and ODλ is the optical density forwavelength λ . Optical density is a function of absorption ( Aλ ) and scattering ( S λ
19 20 10 0 s n lls c
in most texts ≠ A numerical approach with Microsoft Excel®74 ≠ Excel/VBA based simulation75Trouble SpotsTrouble spots for this course can include: ≠ Students not understanding the physical meaning of the Laplace variable “s”. This will likely remain a mystery. Instead, focus on how conservation laws in the Laplace domain can be arranged to yield key information about process behaviors through parameters like gains and time constants. ≠ Bringing in computing tools too early or too late. Students must understand the how and why before actively developing models with software like Simulink. The appropriate time to introduce them will depend on your curriculum, but probably should be after
nput C-elem and a T ment TH1n gate is equivalent s t to an n- -input OR ggate. NCL th hreshold gat may also include a reset input to initialize the output. tes o e . Circuit diagrams designate res settable gate by either a d or an n appearing i es inside the gate, along g with the gate’s thre e
roots of the beams. Since these sensors are an integral part of the beams,they would experience the same levels of stress / strain. At a certain level of deformation, theywill generate the necessary level of voltage to activate the switch(es) for deploying the airbag(s). Page 14.795.2 Proceedings of the 2009 American Society for Engineering Education Annual Conference & Exposition Copyright © 2009, American Society for Engineering Education m – 1 = Hanging (proof) mass #1 m – 2
. Page 14.259.8 [6] James E. Corter, Jeffrey V. Nickerson, Sven K. Esche, and Constantin Chassapis. Remote ver- sus hands-on labs: A comparative study. 34th ASEE/IEEE Frontiers in Education Conference, 2006. [7] D. Deniz, A. Bulancak, and G. Ozcan. A novel approach to remote laboratories. ASEE/IEEE Frontiers in Education Conference, pages T3E–8–12, November 5-8 2003. [8] S. K. Esche, C. Chassapis, J. W. Nazalewicz, and D. J. Hromin. A scalable system architecture for remote experimentation. Proceedings of the 32nd ASEE IEEE Frontiers in Education Conference, Boston. MA, November 6-9 2002. [9] L. Hesselink et al. Cyberlab: A new paradigm in distant learning. NSF Workshop: Learning from the Net: The Leading Edge in Internet
functions, which are believed to bedescriptive for information security professionals. 4 We further developed the two ciphers to improve their security and proposed methods toapply them for information security. Specifically, we proposed to use DNA, RNA and proteinalphabets to represent information, to use pseudo random sequence to intronize plaintext, and touse modified genetic code for information translation. Future research will be on designing an encryption scheme in which a single ciphertext canbe decrypted into different plaintexts based on key(s).References[1] Landau, S. (2006). Find Me a Hash. Notices of the American Mathematical Society, 53(3): 330-332.[2] Pappu, R., Recht, B., Taylor
FutureProject’ was recently added to the curriculum for the College Institute ES 100 taught to12th graders at Thomas S. Wootton High School in Rockville, Maryland. This projectinvolves motivating students to develop an academic map/career plan for themselves byobserving and interviewing successful engineers in different fields, creating overviewprofiles for each of them, and studying these profiles to determine how they connect withtheir career intentions.A detailed explanation of the Engineering your Future Project and how it fits into the ES100 curriculum is given in this paper. Results from qualitative and quantitative evaluationof the project will be presented. In addition, since the project was also added to one of theES 100 sections taught to
unchanged pre to post.Table 1: All Students Pre to Post Comparison Pre Post Pre Post S Effect S Effect#1 Mean2 Mean2 Size3 Opinion4 Change5 #1 Mean2 Mean2 Size3 Opinion4 Change5 Interest in learning Relationship to Math and Science1 2.5 2.43 0.06 Disagree Extreme *6 6 3.93 3.98 0.05 Agree Extreme12 3.09 3.16 0.07 Agree Extreme 11 4.17 4.05
Page 14.632.10Figure 10. Filtered signal in the frequency domain.n= 128;subplot(2,1,1);plot(t(1:n),x( 1:n));grid on; axis([0 8e-3 -3 3]);xlabel('time(s)');ylabel('Amplitude ');title('Original and Filtered Signal ');subplot(2,1,2);plot(t(1:n),y(1:n));grid on; axis([0 8e-3 -3 3]);xlabel('times(s)');ylabel('Amplitude '); Original and Filtered Signal 3 2 1 Amplitude 0 -1 -2 -3 0 1 2 3 4 5 6 7 8 time(s) -3
(two prospective freshmen females, two freshman minority student, one juniorminority student, and one sophomore). The duration of the study was eight weeks. A rubric forresearch notebooks was developed and discussed. The rubric has a potential for usage as aneffective tool to map creativity instances during team activities in a research project on design.Acknowledgement The first author would like to acknowledge the grant from the ?? program at ?? University. Page 14.1304.4Bibliography1. Ekwaro-Osire S, Orono PO, "Design notebooks as indicators of student participation in team activities," in Proceedings of 2007 Frontiers in Education
AC 2009-389: DEVELOPMENT OF A SOLID MODELING COURSE FORELECTRICAL AND COMPUTER ENGINEERING TECHNOLOGY (ECET)STUDENTSFredrick Nitterright, Pennsylvania State University, Erie Mr. Fred Nitterright is a lecturer in engineering at Penn State Erie, The Behrend College. He received the A. A. S. in Mechanical Drafting and Design in 1989 from Westmoreland County Community College, the B. S. in Mechanical Engineering Technology in 1991 from Penn State Erie, The Behrend College, and the M. S. in Manufacturing Systems Engineering from the University of Pittsburgh in 1998. Mr. Nitterright is a senior member of the Society of Manufacturing Engineers (SME), and a member of the American Society for
and high-speed fingerprint verification technique is proposed in this paper. Theproposed technique is observed to be very successful in recognizing a target fingerprint which isincluded in the database and reject any other fingerprints. It produces an efficient correlationoutput which clearly identifies the target fingerprints. The technique is also capable ofidentifying multiple fingerprints in the same input scene simultaneously. Computer simulationresults verify the effectiveness of the technique in different practical real-life scenario, like noisyscenes. Optical implementation of the technique will yield a real-time fingerprint verificationsystem for security applications. REFERE CES[1] S
and Bowers (1997) of studentsstudying physics found that reading is, in fact, more important than hearing.IntroductionHaving been challenged by a member of the public—specifically a K-12 school teacher—toprovide authoritative source(s) of the STATEMENT, what was envisioned as a simple search andproof would ultimately reveal a lack of evidence for the cited statistics. The STATEMENT beingreferred to here is that people (or students) learn (or recall/remember): • 10% of what they read • 20% of what they hear • 30% of what they see • 50% of what they hear and see • 70% of what they say (and write) • 90% of what they say as they do a thingThere are various forms and permutations of the STATEMENT found in published
) which is a first-order differential equation forthe velocity of the car. Set m=1100-kg, c=40-N-S/m, F=1000-N. Determine the velocity of carafter 120-s. After 120-s, the driver brake and stop the car with -500-N braking force. Simulink isa Matlab add-in that allows one to simulate a variety of engineering system. Simulink is adifferent tool, which is much more graphical and visual for complex system. (Appendix E)5. Helical compression spring design with user defined functions in Simulink. A spring is madefrom music wire, ASTM A228 steel, where the free length of spring is 1.75-in, Outer diameter is0.561-in, and the wire diameter is 0.055-in. The total number of coils is 10.0. The ends aresquared and ground. The operating load of spring is 14-lb
collected prior to the beginning ofthe first year of study to answer the following research questions:- To what extent do the data collected for this study support the Gender Similarity Hypothesis?- For characteristics which show a difference, is there evidence that these differences are decreasing over this four year period?Background:Prior to the 1980’s, theories that male students were superior to female students in mathematicalability were widely accepted. For example, in 1974, Maccoby and Jacklin5 wrote “Boys excel inmathematical ability” under the heading “Sex Differences That Are Fairly Well Established.” Page 14.612.2They state that
temperature sensor produces an output voltage of 10mV/°F. Figure 6. Data sample after analysis.Figure 6 shows a sample of actual student analyzed data corresponding to the same intervalshown previously in the raw data of Figure 5. Student analyzed data for the full daylight periodis plotted in Figure 7. The electrical engineering technology students were asked to determinethe time(s) of the maximum solar panel and battery voltage and current as well as the maximumsolar panel output power. Figure 7 also shows this tabulated information. The students werealso required to write a summary of the events that are detectible in the data. Events such aswhen the audio system was used, time of sunrise, sunset, cloudy periods, etc
view the inside of the boxes the students werepleased and somewhat surprised.The question of whether a fractional factorial design could have been used was aunanimous ‘yes’. A one half or even one quarter design would have yielded verysimilar results.This opinion was validated by comparing the main effect plots for the fullfactorial and ½ fractions DOE’s. The main effects for the full factorial and ½fraction are shown below in figures 3 and 4. Main Effects Plot (data means) for S/M/E Blue Green 60 Mean of Stephanie/Mark/Erynne 50
Module Module Course Development AA-0001 (Module 1; S) AA-0002 (Module 2; S+H) AA-0003 (Module 3,4,5 and 8; S + H) AA-0004/BB-0001(Module 3, 4 and 6; S+H) BB-0002 (Module 6, 7; S) BB-0003 (Module 6, 7; S) Note: S (Software); H(Hardware) Quasi Web Based Delivery Mechanism 1. Synchronized: Face to Face Lectures (p%) 2. Asynchronized: Audio/Video Embedded in Power Point Slides (1-P)% Summer workshop/Seminar At the e-Manufacturing
., Barnes, S., Coe, S., Reinhard, C., and Subramania, K., “Globalization and the Undergraduate Manufacturing Engineering Curriculum,” 2002, ASEE Journal of Engineering Education 91, pp. 255-261.[2] National Association of Manufacturing, “Keeping America Competitive: How A Talent Shortage Threats U.S. Manufacturing,” a white paper on http://www.nam.org/~/media/Files/s_nam/docs/226500/226411.pdf.ashx, accessed October 6, 2008.[3] Bee, D., and Meyer, B., “Opportunities and Challenges for Manufacturing Engineering,” 2007, Proceedings of the 2007 ASEE Annual Conference & Exposition, June 24-27, 2007, Honolulu, HI.[4] Waldorf, D., Alptekin, S., and Bjurman, R., “Plotting a Bright Future for Manufacturing
normality applied tothe control and study groups revealed that the study group, shown in Figure 4, was non-normallydistributed (Shapiro-Wilk test, p-value = 0.0015). Therefore, nonparametric tests were used tocompare these two distributions4.The Kolmogorov-Smirnov (K-S) two-sample test4 was applied to the Cumulative DistributionFunctions (cdf) of the two data sets as shown in Figure 5 utilizing the statistical package R5resulting in D = 0.37, p-value = 0.0071 (two-sided). The two-sided K-S two-sample parameter Dis the maximum absolute difference between the two empirical cdf curves4, or the maximumvertical difference between the two cdf curves in Figure 5. The cdf is the cumulative sum of thegrade density function and as such, an improvement in the
ambient energysource to storage device is needed to avoid voltage drops in the wires. For the purpose of placingstorage devices closer to every energy source, a detailed routing investigation will be conducted.References[1] Hinrics A. R., Kleinbach M. (2002). Energy: Its Use and the Environment. 3rd Edition,Orlando, Florida: Harcourt, Inc.[2] Yildiz, F., Zhu, J., & Pecen, R., Guo, L. (2007). Energy Scavenging for Wireless Sensor Page 14.1050.12Nodes with a Focus on Rotation to Electricity Conversion, American Society of EngineeringEducation, AC 2007-2254:[3] Rabaey, J. M., Ammer, M. J., Da Silva Jr, J. L., Patel, D., & Roundy, S. (2000
shown in Figure 6. Page 14.98.9 Figure 6. PSpice schematics for the simulation.The second model is based on the calculated system transfer function shown below and used forthe MATLAB simulation. 1 s 2 ∗L3 − L2 + − s ∗R2 − R3 + −H (s) ? C L
was video-taped. Students were asked to verbalize what theywere doing as they took the practical examination and, if necessary, were prompted by the TA.Coding is currently being developed to analyze these videos.The second technician aspect students were trained in was analyzing and graphing acquired data.Students were shown how to upload data from the test instrumentation to LabView then exportthis data to Matlab. Data was presented in the form of Smith charts, and graphs of S parameters.Students were also shown how to distinguish theoretical from measured data. The measurementsperformed by students and data presentation assignments were designed to illustrate limitationsof the measurement instrumentation. Specific data analysis tasks
temperature probe provides an exponential curve (Newton’s law of cooling), the displacement of a falling ball onto the motion detector provides a power (quadratic) function and the force sensor can be exited linearly.Three sensors (i.e., temperature, force, and motion detection) are used to develop this activity.The system setup and LabVIEW output are shown in Figures 3 and 4, respectively.Figure 3. DAQ activity setup. The analog signals from temperature and force sensors are filteredout from noise, amplified and converted to digital (0’s and 1’s) in the Vernier SensorDAQ(middle). The Motion Detector implements these conversions internally
developed to administer this new responsibility, 2) the experiences of the first three years of program evaluator visits, 3) the institutions with ABET EAC-accredited multidisciplinary engineering programs, 4) the number and names of the multidisciplinary engineering program(s) at each institution, 5) the ABET EAC accreditation history of these programs, 6) a look ahead at the projected future evaluator workload, and 7) other issues related to this new accreditation role and to recent changes in the process.IntroductionOne of the significant distinctions of a substantial number of baccalaureate engineering programsis that they intentionally do not align naturally with a currently so-called “traditional discipline”(such as
, engineering economy, discretemathematics, and probability and statistics. Using the brief description that Industrial Engineersimprove processes, students were taught to think of equations as models for processes. Theindependent variable(s) is (are) the input(s) to the process and the dependent variable(s) is (are)the output(s) from the process.Systems of linear equations, matrices, and truth tables from discrete mathematics were taught tohelp prepare students for the computer programming courses and the linear algebra course taughtby the Mathematics department. Both of these courses were prerequisites for the first operationsresearch course taught in the Industrial Engineering degree program. It was emphasized thatlinear programming was mathematical
Technology. Georgia Tech’s record of training Armyengineers and aviators since WWI was probably the deciding factor, and it was with theinitiative of Army officers deputed to the Guggenheim Foundation, that the final schoolselection was madex. A grant of $300,000 was used to construct a building around anine-foot wind tunnel and invest in bonds for the future. In the following sections moredetails on the evolution of each of the seven schools to their present state will bepresented.New York University As mentioned in the introduction New York University (NYU) was the firstGuggenheim School, and the recipient of the largest grant. NYU developed excellentfacilities and was a renowned center for years. In the 1940’s it was joined by its cross-town
of the internet and supporting programs, many institutions of higher learning areexamining the possibility of offering at least some classes over the internet. Whilecorrespondence courses by mail have been offered for many decades, the immediate responseand information bandwidth of the internet offer the possibility of real-time remote interaction,electronic homework and exams, and instant streaming video and audio not available by mail.With proper support, web-based instruction computer programs such as Desire2Learn (D2L) 1, acommercial classroom management system (similar to Blackboard, etc.), allows remote studentsto password-access materials on their own schedule while requiring online discussions atspecified times, at the instructor‟s