series. Many of thesedocuments contain information which is still useful to both students and faculty, as well asresearchers involved with NASA’s current missions. Because of this, it is imperative thatcomprehensive and accessible indexing tools are available to search the NACA / NASAliterature.Purpose of the paperIn order to find and retrieve these reports, NACA / NASA has developed various indexes, first inprint and now online. In addition, commercial database vendors have developed products whichindex some of the NACA / NASA produced documents. This paper samples the NACA / NASAliterature and evaluates the ability of five databases to index that literature. The purpose of thestudy is to determine the best database(s) for librarians and
. 0. 0. 0. 0. M M Estimated Period (s) Estimated Period (s)Figure 3: Computer and
), and if so, how?Let us first adapt the equation for histogram equalization to use a (U, V) notation instead of the(R. S) notation (just only a change in notation) for reasons that will become clear soon. Here Uor R refers to the histogram or the cumulative histogram of the base image, and V or S refers tothe same for the histogram equalized image. rk ⎛L⎞With this notational modification, the equation s k = ⎜⎝ N ⎟⎠ ∑h i=0 R (i) - 1: k=0,1,2,...,L-1; rk = k for
circuits in the s-domain including Bode plots and frequency response. Also, perform Fourier circuit analysis7-10.4. Use PSpice to simulate and analyze simple circuits.The abovementioned courses have a laboratory component where students build simple electriccircuits and make measurements in the laboratory by using basic laboratory equipment, computersimulation tools, and work in teams.The aforementioned course outcomes support and realize the ABET Criterion 3 outcome andassessment for accrediting Engineering programs11.Method for Evaluation and Information GatheringThe objective of this research is to evaluate the results and feedback of a survey concluded bythe students. These surveys were based on their attitude towards media based modules
other hand prefer more of a relatively passive role andgain energy internally. The second category describes how a person processes information.People who process data with their senses are referred to as Sensors (S), and a person who seeswhere data is going in the future is called an iNtuitor (N). The Sensor versus iNtuitor category isan interesting area of study when it comes to engineering education, because professors arehistorically intuitors while most engineering students are sensors50. The third category for MBTI Page 14.75.6preference describes the manner in which a person evaluates information. Those who tend to usea logical cause and
Set positive learning belief and U gi til a te compare it with goals Plan, motivation; ize s tr Reflect on the effectiveness of Aware of different learning
undergraduate or even at the graduate levels. Numerous studies were reported in thepast by analyzing the ‘instantaneous structure’ of the mechanism in different orientationsto identify the most critical orientation(s) of the mechanism and the high stress or highdeflection locations in the members of the flexible mechanisms. Several special purposecomputer programs have also been written by different academic and industry researchersthat address this issue to some extent1,2 (for example), but there seems to be no evidenceof an undergraduate course that combines these two approaches. Simplified theory thatcovers the important mechanism design and FEA concepts can be complimented byvalidation using simulation tools. This may be a good starting point
orders, CAT = category ofinfrastructure construction project, β1 = a constant indicating how the time performance isaffected by the size of the construction project measured by its cost, β2 = a constant indicatinghow the time performance is affected by a variation in number of change orders, and β3 = aconstant indicating how the time performance is affected by a variation in category.A multiple linear regression was used to analyze the data. For statistical analysis, Bromilow etal.’s 1 model was rewritten in the natural logarithmic form as follows:LnTIME = LnK + δ1LnCOST + δ2LnCO + δ3LnCAT (3)where LnTIME = natural logarithm of time, LnK = natural logarithm of K, LnCOST = naturallogarithm of cost
(National Science Foundation, 2004). The2004 Science and Engineering Indicators report from the National Science Foundation (NSF)indicates that there is a “troubling decline in the number of U.S. citizens who are training tobecome scientists and engineers, whereas the number of jobs requiring science and engineering(S&E) training continues to grow” (p.1). “If trends continue the United States will lose its abilityto fill the growing demand for science and engineering jobs, yielding [its] global standing tonations such as China and India who are training thousands more engineers and scientists than isthe U.S.” (O’Brien, 2004, p. 1). Furthermore, it was noted that in 2004 the U.S. graduatedapproximately 70,000 undergraduate engineers, while China
Dimensionless Time, t/L Figure 2. Temperature as a Function of Time for Nine LocationsAnother way to present the solution is a 3-D plot of temperature as a function of location andtime as shown in Figure 3. Page 14.1044.4 Pres s En
committeecompleted a study on the development and implementation of metrics for scholarly teaching or"instructional scholarship" within the discipline of engineering. The committee sought to identifynew options (with respect to choices of existing metrics, processes for evaluation of metrics, andagents to perform the evaluation of metrics) for evaluating scholarly teaching and to assessbroadly the options identified in terms such as their validity, reliability, and ease-of-use byengineering faculty. The intent is to contribute to greater acceptance of instructional scholarshipwithin engineering disciplines. The committee examined specific choices for metrics of thescholarship of teaching, schemes for the evaluation of selected metrics, and agent(s) who
include, but are not limited to arekindling of Native American pride as a result of the 1970’s Red Power movement, the growthin wealth and power of tribal governments coupled with loosening tribal membershiprequirements, continued racial intermarriage, as well as changes to the way Native Americanswere counted on the 2000 Census.28, 29 The State of Oklahoma is second to California in thenumber of Native Americans citizens living within its borders. Thirty-nine federally recognizedtribes reside in Oklahoma.The geographic location of our university and the legacy relationship with many college eligibleindividuals contributes to the high Native American enrollment. Financial incentives, includingout-of-state tuition waivers for students who belong
. Perez, sought steps to reproduce similar collaborative outcomes in the futurein a methodical way. Since the CIS students are required to finish a capstone project during theirsenior year, it was thought very useful to allow interested student to pursue a similar experiencewhile earning credit for graduation. While taking the senior project, students who pursue thispath will be asked to follow the steps.Project Selection: Student(s) will be given a range of projects to choose from. The selection will becoordinated by a joint faculty from the CIS and the Public Health departments.Project Presentation: Student(s) will be required to present the project upon its completion to the rest ofthe class; they will detail their experience and point out any
-nanotechnology, space elevators and microchips. While most considered nanotechnology tobe a huge area for scientific research and predicted development in medical sciences, some alsoraised critical opinions about ethical negative aspects of such powerful technologies, withimaginations drawn from “nano-babies” using DNA interactions to producing “nano-weapons”using novel high energy physics applications. Table 2: Students’ example responses during in-class Q/A session List two eng in eering Su ppos e yo u are inv ited to you r ap plica tion s o f nano tech nolog y high sc hoo l to g iv e a sh ort t alk
”, Proceedings of the 40th Hawaii International Conference on System Sciences – 2007, pp.131b. 5. Yvonne Lejtman, Ebrhim Shayan, Romesh Nagarajah, “Design of a suitable production management system for a manufacturing company”, Computers & Industrial Engineering, 42(2002), pp.169-174. 6. Andrew Potter, Biao Yang, Chandra Lalwani, “A simulation study of dispatch bay performance in the steel processing industry”, European Journal of Operational Research, Vol 179, Issue 2, pp.567-578. 7. Simone Appelt, Rajan Batta, Li Lin, Colin Drury, “Simulation of passenger check-in at a medium-sized US Airport”, Proceedings of the 2007 Winter Simulation Conference, S. G. Henderson, B. Biller, M.-H. Hsieh, J. Shortle, J. D. Tew
Page 14.91.7converters’ and inverters’ experiments designed by the MNPRE center of the Universityof Minnesota (see Figure 3), and a rectifier module, developed at our electronicsworkshop. Beside these functional modules, reconfigurable test-beds are used by thestudents to construct, test and design their own converters or power electronics circuitsused during the project phase of the course. The cost of these functional modules is rathermodest and the equipment and instrumentation employed is the usual one.The power stage of a typical power electronics converter consists of only passivecomponents (such as inductor(s), capacitor(s)) and power devices (such as switch (es)and diode(s)), as one can see in Figure 2. The use of such prefabricated
AcknowledgementsThe author would like to thank Elizabeth J. Mills and Lisa Berman for their editorial review of thisarticle.References [1] R. Boice, “Classroom incivilities,” Research in Higher Education, vol. 37, pp. 453–486, August 1996. [2] L. B. Nilson, Teaching at Its Best. Bolton, MA: Anker Publishing Company, Inc., 2 ed., 2003. [3] J. M. Braxton and A. E. Bayer, eds., Addressing Faculty and Student Classroom Impropri- eties, vol. 99 of New Directions for Teaching and Learning. San Francisco, CA: Wiley Peri- odicals, Inc., Fall 2004. [4] S. Brown, “Civility in the classroom,” http://www.tc3.edu/instruct/sbrown/ fac/civilbib.htm, 2004. [5] P. J. Morrissette, “Reducing incivility in the university/college classroom,” International
. Mission Statement Development Identify Establish Generate Select Test Set Plan Plan Customer Target Product Product Product Final Downstream Needs Specifications Concepts Concept(s) Concept(s) Specifications Development Perform Economic Analysis Benchmark Competitive Products Build and Test Models and
transform these images into an interactive 3-D model. This model provides students with a360-degree view of a construction site and the capability to navigate and investigate constructiondetails. Future research effort will focus on enhancing the usage of the proposed technologies aswell as identifying new data acquisition technologies to serve classroom learning needs. Page 14.727.15 Matched Digital Photos in Photosynth Feature Points in a 3-D Point Cloud Figure 4. Matched photos and 3-D point cloud in Photosynth.Bibliography1. AbouRizk, S. M. (1992). “A
development, testing and preproduction, introduction and productionand life cycle management. Elements that were not specific to any one stage were then groupedinto a sixth “on-going” stage.The model is delineated as follows:≠ Stage one involves conceptualization of the product/technology, the identification of a potential target market, and competitor benchmarking. The project scope is then defined, resources are allocated, and technical feasibility and financial evaluations are conducted.≠ Stage two involves the design and physical development of the technology. A critical activity is an assessment of customers’ needs and specifications. Finally, a detailed design is created and a prototype(s) is developed.≠ The third stage ensured
University of Wisconsin-Milwaukee(UWM) College of Engineering & Applied Science (CEAS) assumed that significant principlesof the Information Technology Life Skills Career Development9 (IT-LSCD) model for youngadults could transfer to educational aspects of another technical discipline. IT-LSCD, as themodel operated from 1998 – 2003 in the UWM School of Information Studies, primarily servedthe learning needs of urban minority high school students. The intent was to help these learnersmake sense of emerging fields and learn how to overcome obstacles between them and society’stechnical fabric. Model fundamentals comprised education, training, mentoring, counseling,subsidy, tutoring, evaluation, recommendations for revision(s) as necessary, and
author’s data is shown in Appendix G.[Copyright for VARK version is held by Neil D. Fleming, Christchurch, New Zealand andCharles C. Bonwell, Green Mountain, Colorado, USA]. Page 14.253.10APPENDIX B (Rubrics courtesy of W S U, Pullman, WA) (Narayanan, 2007). Rubrics based on Likert Scale5 Has demonstrated excellence. Has analyzed important data precisely. Has provided documentation. Has answered key questions correctly. Evidence of critical thinking ability. Has addressed problems effectively. Very good performance Has evaluated material with proper insight
significant accomplishments,the students still wanted younger speakers. This may be accomplished by including collegestudents who are majoring in IT as part of the summer workshop, linking high school and college Page 14.1104.10with a career in IT. A similar approach is likely to be appropriate to other high schoolinterventions which share similar goals. Even without these changes, the SPIRIT workshopsappear to be accomplishing their goals with respect to the participating student groups.Bibliography1. Patterson, D. A. (2005). “Restoring the popularity of computer science”. Communication of the ACM, Vol. 48(9),pp. 25-28.2. Reges, S. (2006). “Back to
-semester course adjustments need to be detailed.Bibliography 1. Darling-Hammond, L. and J. Bransford (eds.), Preparing Teachers for a Changing World, Jossey-Bass Education Series, Wiley & Sons, 2005, ISBN 978-0-7879-7464-0. 2. Rising Above the Gathering Storm, Committee on Prospering in the Global Economy of the 21 st Century: An Agenda for American Science and Technology, The National Academies Press, 2007, ISBN 978-0-309- 10039-7. 3. Donovan, M. S. and J. D. Bransford (eds.), How Students Learn: History, Mathematics and Science in the Page 14.615.12 Classroom, The National Academies Press
. 68, pp. 92-95.8. Conley, K. and Tucker, T. 2005. Matching media to audience equals marketing success. College &Undergraduate Libraries, Vol. 12:1/2, pp. 47-64.9. Campbell, J. and Gibson, S. 2005. Implementing an action plan: strategies for marketing library services.College and Undergraduate Libraries, Vol. 12:1/2, pp. 153-164.10. Duke, L. M. and Tucker, T. 2007. How to develop a marketing plan for an academic library. TechnicalServices Quarterly, Vol. 25:1, pp. 51-68. Page 14.862.1011. Shamel, C. 2002. Building a brand: Got Librarian? Searcher, Vol. 10:7http://www.infotoday.com/searcher/jul02/shamel.htm.12. Alire, C. A
inexpensive (less than $650/unit), cover the 3-30MHz high frequency (HF) spectrum, plus they have reasonably decent technical specifications.The remaining sections of the paper introduce Scattering or "S" parameters which turn out to bethe language of network analyzers. Also, each of the three VNAs tested in this paper has its own"unique to the device" software front-end and, for comparison purposes, a common data displayformat was implemented. For each filter examined, a picture is presented showing the location ofthe filter on the NorCal 40A printed circuit board, followed by a schematic diagram of theselected filter configured for the network analyzer test set-up. Also, when appropriate, three plotsof the circuit’s performance using each of the
, full control of the SDR-14’s digital downconverter’s decimation and filtering processes is possible (as shown in Figure 3), in order to createthe required I and Q data. Page 14.1162.4 Figure 4: AR 5000A communications receiver.3 Commercial FMAnother common signal is the commercial frequency modulation (FM) radio station signal. An FMsignal (88–108 MHz, in the United States) would be a challenge for the SDR-14 to capture withoutadditional analog RF signal conditioning circuitry. An alternative to designing and implementingthis analog RF signal conditioning circuitry is the use of a radio receiver that has its
from reading, for instance,and this is backward from what Dale’s Cone suggests. I’m not “ear-minded” as the learningpsychologists say, and I understand that about a third of the U. S. population is like me (and Ican’t quote an exact source for this number either – I got it from learning psychologist FredKeller7 in a conversation with him). I don’t receive vocal information as efficiently as I do whenI read about something – I can always read text over again, but it isn’t usually possible to“replay” a lecture or a conversation. So my learning skills don’t match the lower levels of Dale’sCone. But after 43 years of teaching engineering subjects I am quite comfortable with the ideasthat, for most engineering students, Visual Receiving is superior
other fields such as medicine and law with successin learning for some time now.17 These cases are similar to the Legacy Cycle in the use of aninitial “challenge” or problem that must be solved. However, Legacy Cycle lesson design addsmore specific structure to the traditional problem-based learning format, as after the statedChallenge and following the Generate Ideas activity, students examine selected thoughts fromexperts that relate to the problem and direct their thoughts in the desired direction(s) beforeengaging in “Research and Revise” activities. These steps are supported by additional researchthat has demonstrated improved learning when students first generate their own ideas and thenhear experts’ ideas prior to consulting resources or
tested a 6061 aluminum alloy link. The students were able to directly see the results of theirdesign and the difficulties in translating an idea to a finished product.AcknowledgementsThe authors would like to thank the following students in MEEN 360, fall 2008 at Texas A&MUniversity at Qatar. The students were: OMAR ABDALLAH, SOHA HISHAM AABDELSATTAR, ZUHAIB SYED ABDIN, MOHAMMED A AL-KHORI, OMARMOHAMMAD J M AL-QATAMI, AHMAD MOHAMMED S A ALMANSOOR, COLLIN CDAVIS, ALI MOHAMAD FAYAD, MISAM ALI MEHMOOD JAFFER TIMOTHYRAYMOND, TAYLOR, DANI JAAFAR WANNOUS, and Ric Carusi the machinist. Page 14.882.6Page 14.882.7 Table