starts with the multidimensional definition of quality, Q ? f (Q1 ,..., Q n ) with the nelements that correspond to those factors and features that relate to how the products aredesigned, developed, produced, and used by customers. Functions involving design, production,and service have differing effects among the n dimensions, producing large impact on some andvery little on others. This of course will depend on the particular type of product. The nature ofthe dimensions makes it difficult to establish an overall simple measure of the state of quality,with some dimensions being quantitative while others are very subjective. Warranty feedback, W ? h ] g1 (Q1 ,..., Q n ),..., g m (Q1 ,..., Q n )_ does however, provide an overall weighting of
is remedied by providing better training to the lab instructor.Table 4 lists one question covering a key concept from each lab that most of the studentsanswered correctly in the 2008-1 term. Column “N” indicates the number of responses, and “%”column shows the percentage for easier comprehension. Correct answers are shown in bold inthe “Key” column. In the online quiz system, the responses are randomized. Table 4: Key Question from each lab that most students answered correctly in 2008-1L#/Q# Multiple Choice Question from each lab Key N %L1/Q9 In tensile testing of metallic materials, uniform plastic deformation begins when the N 52 100 applied stress equals
automobile as: 1 1 T = m x& 2 + J θ& 2 . (1) 2 2The potential energy is described in Equation 2 as: 1 1 k 1 ( y + x − l1θ ) + k 2 ( x + l 2θ ) . 2 2 U = (2) 2 2Rayleigh’s dissipation function describing viscous dissipation in the dampers is: 1 1 Q= 2 ( c1 y& + x& − l1θ& ) 2
k n 1 QC = ∑ Δ tiVci ; Q = 1.00 (1) λ i =1 2a M . Arc cos(1 − ) tool - chip interaction time D λ= = (2) milling time 360°Where: Δti : machining time at cutting speed Vi i, j : discrete step Ti : tool life at cutting speed Vi Vc : cutting speed at the circumference Q
i( x ) = i4 i ( x ) i = 1,2,... (11) dx 4If (9) and (10) are substituted into (1) using relation (11) the result is a set of uncoupled ordinarydifferential equations in the normal coordinates or EI i4 qi + cq + qi = A0 f i g( t ) 1 = 1,2,... (12)Division through by and noting the definitions of (4), (6) and (7) the result is a set of ordinarydifferential equations in the modal coordinates or A0 f i qi + 2 i i q i + i2 qi = g( t ) i = 1,2,... (13)For the forcing functions considered, this equation can be easily solved
hu ss de rs d Q rK
coolingsystems? What is the purpose of finding the mass flow rate of the air in the house?”A: “Mass flow rate is used only in the calculating air exchanges between the house and theambient as it happens due to closing and opening of doors, leakage through the windows anddoors etc. and this is given as 0.4.”Q: “Shouldn't the heat input for solar radiation be higher in the summer than in the winter,considering we are closer to the sun in the summer time? Would you please elaborate on thismatter?”A: “Good question! In winter, the angle made by the sun is more oblique at the earth. (see linkfor a picture depicting this). Therefore, more of it may reach the house through the windows.However, there are other factors such as which direction the windows are
≠ Rating of ≠ Average rating processes Rating of Instruction for Fall 2007 & Instruction above a 3.5 Spring 2008 ≠ Targets all average for Q was 4.3 criterion 2 a- 1-18, Q 19 & Q ≠ Course k & criterion 20. improvements 8 a-c include items based on
development.The air contained in the Fire Tube is a closed system where changes in potential and kineticenergy can be neglected. Thus, energy conservation requires: ߂ܷ ൌ ܳ – ܹ (1)Where U is the internal energy of the system, Q is energy transfer into the system via heattransfer, and W is energy transfer out via work. Talking point 1: Q and W are both energy transfer modes, but what fundamentally differentiates Q from W?For a closed system undergoing a compression, W would typically be determined with: ܹ௩ ൌ න ܸܲ݀ (2
. Gere , Barry J. 7(12) Goodno 7. Mechanics of Materials (2000) Anthony Bedford, 5(12) Kenneth M. Liechti 8. Introduction to Mechanics of Materials (1989) William F. Riley, 7(11) Loren W. Zachary 9. Mechanics of Solids (1995) Gerald Wempner 2(9) 10. Mechanics of Materials (Fourth Revised Edition) James M. Gere, 6(10) Stephen P. Timoshenko 11. Mechanics of Materials (Sixth Edition) William F. Riley, Leroy D. 2(10) Sturges, Don H. Morris 12. Mechanics of Materials (Second Revised Edition) Roy R. Craig, Jr. 8(12) 13. Mechanics of Materials (1985) David Q. Fletcher 2(14) 14. Mechanics of
://power.ece.drexel.edu.5. C. Nwankpa, A. Deese, Q. Liu, A. St.Leger, and J. Yakaski, "Power System on a Chip (PSoC)," Proceedings of International Symposium on Circuits and Systems (ISCAS), pp. 739-742, 2006.6. R. Fried, R. S. Cherkaoui, C. C. Enz, A. Germond, and E. A. Vittoz, "Approaches for analog VLSI simulation of the transient stability of large power networks," IEEE Transactions on Circuits and Systems I-Fundamental Theory and Applications, vol. 46, pp. 1249-1263, OCT 1999.7. J. Yakaski, Q. Lui, and C. Nwankpa, "Analog Emulation Using a Reconfigurable Classical Generator Model for Load Flow Analysis," Proceedings of Power Systems Computation Conference (PSCC), 2005.8. A. St.Leger and C. O. Nwankpa, "Reconfigurable
Velocity head H m Fluid manometer height R m Hydraulic radius A mm2 Cross sectional area m Surface roughness factor h mm Channel height NR - Reynolds number t mm Channel width N*s/ m2 Dynamic viscosity V m/s Velocity Kg/m3 Density Q L/min Flow rate L m Length between taps Cumulative theoretical HLTC m
, P. W. and Zhou, Q, “Internet Based Robotic System for Teleoperation,Assembly, and Automation,” International Journal of Assembly Automation, Vol.21, No.2,pp.143-151, 2001. Page 14.1361.119. Huang, G. Q. and Mak, K. L., “Web-integrated Manufacturing: Recent Developments andEmerging Issues,” International Journal of Computer Integrated Manufacturing, 14, pp.3–13,2001.10. Potgieter, J and Bright, G., “Modular Mechatronics Control System for InternetManufacturing,” Proceedings of the 18th International Conference on CAD/CAM, Robotics andFactories of the Future, Porto, Portugal, pp. 529-536, July 2002.11. Richard Chiou, Yongjin Kwon, Shreepud
attributes, provides valuable input for other six-sigma tools such as, Quality FunctionDeployment process. For making changes in an existing product or service, six-sigmaprofessionals first analyze the efficacy of the product or service in terms of customer satisfaction Page 14.457.6levels in must-be and one-dimensional. Changes that offer maximum benefits are then selectedand implemented using standard six-sigma tools and techniques.Since respondents may not rate all attributes included in the questionnaire in these categories,other classifications are also possible such as indifferent (I), questionable (Q), and reverse (R).Indifferent (I) means
. Available from: http://www.acm.org/education/curricula.html.10. D. Soldan, J. L. A. Hughes, J. Impagliazzo, A. McGettrick, V. Nelson, P. K. Srimani and M. D. Theys. Computer Engineering 2004 Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering. 2004 December 2004. Available from: http://www.acm.org/education/curricula.html.11. T. Chen, Q. Shi, J. Wang and N. Bao, Multicore Challenge in Pervasive Computing Education, The 3rd International Conference on Grid and Pervasive Computing, 2008, pp. 310-315.12. D. J. Ernst and D. E. Stevenson, Concurrent CS: Preparing Students for a Multicore World, Annual Joint Conference Integrating Technology into Computer Science Education 2008, pp. 230
.[23] Gao, Q., Zhang, X., and Anshel, M. (2008). Introduction to Geometric Intronization as a SecurityTechnique. International Journal of Computer Science and Network Security, 8(12): 19-25.[24] Doig, A. (1997). Improving the Efficiency of the Genetic Code by Varying the Codon Length-ThePerfect Genetic Code. Journal of Theoretical Biology, 188 (3): 355-360. 6Appendix : Natural Genetic Code Amino Acid Acronym RNA Codons Ratio Gly G GGU, GGC, GGA, GGG 4 Ala A GCU, GCC, GCA, GCG 4 Pro P CCU, CCC, CCA, CCG
-82.[4] F. Monrose, M.K. Reiter, Q. Li and S. Wetzel. Cryptographic key generation from voice. Proc. of the 2001 IEEESymposium on Security and Privacy, May 2001.[5] F. Monrose, M. K. Reiter, Q. Li, D. P. Lopresti, and C. Shih. Toward speech-generated cryptographic keys onresource constrained devices. Pro.c of 11th USENIX Security Symposium, 2002, pp. 283-296.[6] F. Hao and C. Chan. Private key generation from on-line handwritten signatures. Information Management &Computer Security, 10(2), 2003, pp. 159-164. 6[7]A. Goh and D. Ngo. Computation of cryptographic keys from face biometrics. Lecture Notes in ComputerScience, 2828, 2003, pp. 1
Page 14.1341.8and their feedback from the reports such as a request for additional presentations on the VEXsystem. There are three programming environments which can work with a VEX microcontrollersystem. These are the Easy C, ROBOT C, and MP Lab Development System. In the near future,a switch will be made to the ROBOT C language due its similarity to the Easy C and havingmore functionalities than the Easy C.Bibliography[1] Unpublished ENGR 4400 - DEVICE CONTROL course notes, Robert Morris University, 2007.[2] Streib, W., J., Digital Circuits, The Goodheart-Willcox Company, Tinley Park, IL, 1997.[3] Petruzella, F., D., Programmable Logic Controllers (3rd Edition), McGraw Hill, New York, NY, 2005.[4] http://search.ni.com/nisearch/main/p?q=pid
invited to participate in the workshops and forums thatprovided opportunities for open discussions.Bibliography Page 14.342.8 71. Jacoby, B., and Assoc. Service learning in higher education. (San Francisco: Jossey-Bass,1996).2. Zhang, X. Q., Gartner N. and Gunes, O., Integrating Service-Learning Projects into CivilEngineering Courses, International Journal for Service Learning in Engineering, Vol. 2, No. 1,pp. 44-63, Spring 2007, ISSN 1555-90333. http://epics.ecn.purdue.edu/, last accessed March 20, 2009APPENDIX AGroup Name _______ CE 452
same at points 1 and 2Question 6. The triangular weir (or the V-notched weir) has an advantage over other weirshapes because the V shape a) creates a larger and measurable H at small Q b) increases the pressure forces right on the weir c) causes more head loss at the weir d) creates a smaller and measurable H at small QQuestion 8. Consider the energy diagram below for a short section. How would youexplain the phenomena where E1=E2? E1 is energy at water depth y1 and E2 is at waterdepth y2. y y2 y1 E1=E2 E a) velocity head at 1 is much greater than velocity head at 2, and pressure head at 2 is much greater than
B.ConclusionFEMLAB software package can be used for simulation of the TNDT process. It givesopportunity to investigate a potential of this testing method. The proposed laboratory traininghelps students to understand physical processes occurred in a solid body under the action oftemperature. They can observe processes which are invisible for a human eye and betterunderstand thermal wave propagation in the testing object. It improves the students’ progressin studies.Appendix A: Instructions for laboratory work accomplishmentInstructor specifies materials of a testing object (conductor) and a defect (dielectric), andboundary conditions (temperature T, heat flow Q, convection heat transfer coefficient h,ambient temperature Tamb).Tasks for students: 1. Use a
. Fig. 9. Rating scheme.AcknowledgementThis work was supported in part by the CONACYT under Grant No. 91013.References1.T. C. Hutchinson, F. Kuester, „ Hardware Architecture for a Visualization Classroom: VizClass, 2004 Wiley Periodicals, Inc. Comput appl Eng Educ 12:232-241.2. Fuller D.A. and Moreno A.F. (2004). Experimenting With a Computer-Mediated Collaborative Interaction Model to Support Engineering Courses, Computer Applications in Engineering Education, 12 (3), 175-187.3. Li, S. G. and Lie, Q.(2004). Interactive Groundwater (IGW): An Innovative Digital Laboratory for Groundwater Education and Research, Computer Applications in Engineering Education, 11 (4), 179-203.4. Fu, T.T. (2003). Applications of Computer Simulation in
[inclusive of both weekends], statutory holidays [March 21 to 24, 2008], from Limitations to S2C2 validity March 25 to 27, 2008, or in cases of natural or technical events outside of my control [(e.g., severe illness, etc.) that would prohibit such a prompt response] • Please let me know through e-mail in the case that I did not Process for S2C2 feedback respond to your inquiry within the promised time Review S2C2 [Promise + Redress] • If any of the promises regarding assignments (A), projects (P), quizzes (Q) and exams (E) contained herein are not fulfilled
I could do this on a test I cannot do this Q No. Learning Objectives 1 ≠ Be able to differentiate between “statistics” (numbers) versus “statistics” (field of) 15 3 0 2 ≠ Discuss the concept of variation o Sampling variation o Measurement variation 8 9 1 3 ≠ Discuss the definitions of sampling unit, population, sampling
visualization is the determination of the airspeed or flow rate in the ductmodel. The airspeeds are too small for the normal wind tunnel measurement system whichmakes use of the pressure drop in the wind tunnel converging section resulting from theBernoulli effect. An indirect method is possible, by measuring the volumetric flow rate supplied Page 14.208.7to the rake manifold from the smoke generation system. If the total volumetric flow rate of aircontaining smoke is Q, then the average discharge velocity from N identical rake tubes will be U= Q/(NA), where A is the internal cross-sectional area of a single typical rake tube. Since theexit tube flow
work in small groupsaddressing fundamental, concrete issues related to the current classroom topic. Using class timefor these thought labs allows the instructor to interact with and guide the analysis as each groupbrainstorms new ideas. During the course, we carry out three thought labs: urban transportation,human genetic engineering in the military, and regulation of nanotech assembler technologies.Students present the results of their small group discussion and lead a Q&A session while theirclassmates perform a peer evaluation. These thought labs result in many novel ideas and bringforward points of view from students who tend to remain silent in a larger group, which leads toa very robust and wide-ranging discussion
on implementing a subset of JAUS on the Q robot. Attendees completed an exercise in which they developed a short LabView code that enabled JAUS communication between two computers. The RST successfully entered the JAUS performance competition event at the IGVC, winning a $500 prize.• The PCB design workshop focused on teaching attendees how to use the Mentor Graphics PADS package. Each attendee designed a simple printed circuit board, going through the schematic capture and layout phases of the development.• The Laser Rangefinding group focused its efforts on understanding, demonstrating, and preparing a Sick Model LMS-291 laser rangefinder. Their work included writing LabView drivers to handle high speed serial communication between
direct assessment in the course include weekly homework (H), weeklyquizzes (Q), midterm exam (M), final exam (F), and design project (P). The studentpopulation from the 2007-08 academic year consisted of 8 students. The Table belowshows the achievement of each student in each category, as well as the class average. Table 3: Individual student performance and class average in the five assessment categoriesStudent HW Q M F P Total %1 99 93 81 98 95 466 93.22 99 94 85 90 100 468 93.63 69 90 60 77 100 396
classes.Students indicated that S-L had a positive impact on the likelihood of their continuing inengineering (1-9 scale). In Spring 2008, 64% of 369 agreed (25% strongly); 3% disagreed; therest neutral. In the Spring 2007 post survey, 67% of 188 students agreed. In the December 2008survey with n=310 (some upper division students took the class also), 71% agreed (21%strongly); 8% disagreed. The results from this question were so positive, that the authorsthought some artifact was at work, so the order of the questions was changed between Spring2008 and December 2008. The positive result persisted and in fact increased.Some other interesting results from the Spring 2008 survey: • In response to Q 2 that service and academic course work should be
. Table 6 : Details of the Results of the Fall 2008 SSCI CT Pre-Test Q => 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 SSCI SSCI ID Scor 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 0 0 0 0 0 0 1 0 0 1 1 14 2 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 0 0 1 1 0 1 0 0 0 0 16 3 1 1 1 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 1 1 12 4