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2005 GSW

Authors

Pete Hylton

Session F2D3 Technical Risk Management As the Connectivity in a Capstone Design Course Pete Hylton Mechanical Engineering Technology Department Purdue School of Engineering and Technology Indiana University / Purdue University at Indianapolis AbstractMany high-tech industries have recently begun to institute Technical Risk Management(TRM) as a part of major design efforts. The US Department of Defense has startedrequiring that TRM procedures be defined in proposals and that all major reviews

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2005 GSW

Authors

James E. Cross

Session F1B1 Getting A Jump Start With the TI TMS320C6713 Digital Signal Processor James E. Cross Electrical Engineering Department Southern University, Baton Rouge, LA. 70813 Email: cross4153@aol.com Phone: (225) 775-4153 ABSTRACTSouthern University is upgrading its Digital Signal Processing Laboratory with Texas InstrumentsTMS320C6713 (C6713) Digital Signal Processor Starter Kits (DSKs). The

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2005 GSW

Authors

Carlon G. Ami

Session Number T4D4 Predictability of college success for ethnic minority SEM students: is high school GPA a reliable tool? Carlon G. Ami Multicultural Engineering Program University of New Mexico AbstractThis study was an attempt to determine whether high school grade point average(HSGPA) or ACT scores were better correlated with the success of a select group ofethnic minority students at the University of New Mexico (UNM). Third-semesterretention and third semester grade point average, graduation rate, grade

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2005 GSW

Authors

S. Ozcelik; R. Sosa; M.A. Faruqi; M. Abudiab

Session T1B2 Design and Comparison of Various Controllers for a Two-Tank Liquid-Level System S. Ozcelik, R. Alvarez, J.R. Sosa Department of Mechanical Engineering Texas A&M University-Kingsville, TX sozcelik@tamuk.edu M.A. Faruqi Department of Civil Engineering Texas A&M University-Kingsville, TX M. Abudiab Department of Computational and Mathematical Sciences

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2005 GSW

Authors

Mirley K. Balasubramanya; George D. Tintera; Alexey Sadovski

Session T1A3 A Program Orienting Incoming Freshman towards Integrating Mathematics with Science and Engineering George D. Tintera, Mirley K. Balasubramanya, Alexey Sadovski College of Science and Technology Texas A&M University-Corpus Christi AbstractThis paper is a report on the Summer Camp for Applied MathematicsPreparation. SCAMP is an orientation program for incoming freshmen in theComputing and Mathematical Sciences Department at Texas A&MUniversity-Corpus Christi. The program has goals of retaining students through thefreshman year and

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2005 GSW

Authors

Wendy Wagster; Robert A. McLauchlan; Ranjeet Agarwal; Christa Ramon; Brett Keener

Session F1C4 Forecasting Alcohol Consumption Trends Among College Students Using Artificial Neural Network (ANN) Wendy Wagster Brett Keener Christa Ramon Ranjeet Agarwala Robert A. McLauchlan Department of Mechanical and Industrial Engineering Texas A&M University-Kingsville AbstractProblems with alcohol are a major concern on college campuses today. Efforts toinfluence the rate of student alcohol problems are increasingly seen to be urgentpriorities. Forecasting alcohol consumption trends amongst students on

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2005 GSW

Authors

Monty Smith; Mitty Plummer; Leticia H. Anaya

SESSION T3B4 A Venue for Attracting Talented High School Students into The Engineering Program: DC BEST (Denton County Boosting Engineering, Science, and Technology) Leticia H. Anaya, Monty Smith, Mitty Plummer Department of Engineering Technology University of North Texas College of Engineering, AbstractThe description and success of a recently held local competition (organized and managedby the College of Engineering at the University of North Texas) that featured radiocontrolled robots constructed by local high school and middle

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2005 GSW

Authors

Robert Seaker; Farouk G. Attia

Session T2D4 Effects of Batch Size on Safety Stock Levels: A Model for Flexible Low- Cost Market-Oriented Design for Manufacturing System Farouk G. Attia, Robert Seaker University of Houston, College of Technology, Houston, Texas 77204 AbstractThe manufacturing industry is undergoing major changes in the way products are designedand produced. Mass customization is forcing the industry to respond to “individual” customerrequirements and yet it is expected to make products efficiently in large quantities. Globalmarket demands have led to three distinct forms of

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2005 GSW

Authors

Robert A. McLauchlan; Ranjeet Agarwala; Laura Lopez; Kenneth Nix; Guadalupe Fernandez; Chad Jurica

Session T3C4 Predicting Freshmen Engineering Students Success Using Artificial Neural Network (ANN) Based Emotional Intelligence (EI) Model Kenneth Nix Guadalupe Fernandez Chad Jurica Laura Lopez Ranjeet Agarwala Robert A. Mclauchlan Department of Mechanical and Industrial Engineering Texas A&M University-Kingsville AbstractEmotional skills are key to personal happiness, healthy relationships, and personallymeaningful careers. This paper investigates sensitivity analysis of key EmotionalIntelligence (EI) indicators used in an

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2005 GSW

Authors

Nripendra N Sarker; Mohan Ketkar

Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering Education Figure 2 The instantGrade file for students to monitor their performance during a semesterFigure 3 shows some fictitious scores with corresponding status of two students after 30 % and70 % of the tests are covered respectively. As in Figure 3a, the student ‘abc’ seemed to berelaxing after obtaining 97 in Test 1. This caused him to make only 82 in Test 2 with an averagestanding gone down to B while the student ‘xyz’ seemed to have a warning and thus sheenhanced her grade from B to A. The instantGrade file may act as a wakeup call. As in Figure3b, the student ‘abc’ kept hard working and thus his score went up to make an A

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2005 GSW

Authors

Richard Bannerot

5:30 PM, the same day. ResultsForty-two projects (Table 1) were submitted in the class of 43. Examples of the take-away sheets are shown in Figs. 1, 2, and 3.Each studio was divided into two groups, say A and B. During each three-hour studioeach member of groups A and B took turns for a 90-minute period of ‘manning’ a table inthe lobby of the engineering building while demonstrating his project to all who stopped.While members of group A demonstrated their projects, members of group B evaluatedA’s projects. Then they switched roles. The same was done for the other studio. As aresulted each class member viewed and evaluated the projects of approximately ten of hisclassmates. A grading rubric was

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2005 GSW

Authors

Thomas J. Krueger; Ted Aanstoos; Ronald E. Barr

mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs (d) an ability to function on multi-disciplinary teams (e) an ability to identify, formulate, and solve engineering problems (f) an understanding of professional and ethical responsibility (g) an ability to communicate effectively (h) the broad education necessary to understand the impact of engineering solutions in a global and societal context (i) a recognition of the need for, and an ability to engage in life-long learning (j) a knowledge of contemporary issues (k) an ability to use the techniques, skills, and modern engineering tools

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2005 GSW

Authors

Ray Bachnak; Mike Englert

industry, any business uses some type datameasurement and transfer. This process has simulated a useful situation where data isrecorded from one area and sent to another where it is analyzed easily without the hassleof reproducing the data. The plots were generated using different types of software,including Matlab and Microsoft Excel. Throughout this project a great deal has beenlearned. The author learned from the problems encountered when getting the systemoperational and establishing communications between the two wireless devices. Thisproject is a good experiment for one of the control systems courses at the university. References 1. B. Fuller, “Smart Data Loggers,” Article #9760, December 1997

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2005 GSW

Authors

Clay Naito

Designer (WPBD) to advanced structural analysis software often createsconfusion on the part of the students. WPBD is configured to automatically calculate the forcesin the members and compare them with the design load. In the advanced analysis tool used thisfeature is not provided. To assist with this process a spreadsheet formulation is developed andused in class. The students are divided into groups of three to four students. Each student thenmust design his or her bridge to a specified design load. The lightest design in each team ischosen for fabrication. If the students complete their design early they can commencefabrication. a) Simplified design (WPBD3) b) Detailed analysis (VA4

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2005 GSW

Authors

Kevin M. Nickels

Digital Design I. In Proceedings American Society for Engineering Education Annual Conference, 2004.9. K. Kramer and D. Maxwell, Projects with applications to Wireless Communications – An Innovative Approach to the Digital Design Course. In Proceedings American Society for Engineering Education Annual Conference, 2004.10. W. A. Chren and B. G. Zomberg. Programmable logic course development in an engineering curriculum. In Proceedings American Society for Engineering Education Annual Conference, pages 1154 1158, 1993.11. R. Coowar. Designing with field programmable gate arrays. In Proceedings American Society for Engineering Education Annual Conference, pages 853 859, 1995.12. D.W. Horning. Integration of digital

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2005 GSW

Authors

Kambiz Farahmand; Kai Jin

&I Engineering Program," Twin Plant News, The Magazine of The Maquiladora Industry Since 1985, Vol 7, No. 3, Oct. 1991, p 31.2. Cherrington, B. E., "An Integrated Approach to Graduate Education in Manufacturing Systems- The U.T. Dallas model," Journal of Engineering Education, Vol. 82, No. 1, January 1993, pp 43- 47.3. Denning, P. J., "Educating a New Engineer," Communications of the ACM, Vol. 35, No. 12, December 1992, pp 86-97. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering EducationKAMBIZ FARAHMANDDr. Farahmand is a professor at the

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2005 GSW

Authors

W.N.P. Hung; M.M. Agnihotri; J. Wang

fastener (Figures 2 and 3) has been modeled analogous to aninterference fit between a hub and a shaft. It is assumed that the contact pressure produceddue to the interference fit and the resulting frictional force will hold the fastener and bonefragments together, preventing separation. There are microratchets (A) on the shaft of thefastener that deflect while being inserted into the hole and subsequently stiffen to hold thefastener in place. The nominal diameter of the fastener is more than the hole drilled inside thebone fragment. The spring element (B) is analogous to a Belleville spring. When the fasteneris being inserted into the hole, energy would be stored inside the spring causing it to deform.On removal of the push-in force, the spring

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2005 GSW

Authors

Carole Goodson

. Fernandez, J.D. (2004). Engaging students with community organizations by using computer technology, SIGITE 2004,October.3. McCracken, D., & Wolfe, R. (2004). User-centered Website development: A Human-Computer Interaction approach,Pearson Education Inc., Upper Saddle River, NJ.4. Preece, J., Rogers, Y., & Sharp, H.(2002). Interaction design: Beyond Human-Computer Interaction, John Wiley & Sons,Inc., New York, NY.5. Rosson, M.B., & Carroll, J.M. (2002). Usability engineering: Scenario-based development of Human-ComputerInteraction, Morgan Kaufmann Publishers, San Diego, CA.6. Shneiderman, B., & Plaisant, C. (1998). Designing the user interface, 4th Ed., Addison Wesley Pearson Education, Inc.,Boston, MA.Biographical

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2005 GSW

Authors

Amir Karimi

and these criteria(b) a process based on the needs of the program's various constituencies in which the objectives are determined and periodically evaluated(c) an educational program, including a curriculum that prepares students to attain program outcomes and that fosters accomplishments of graduates that are consistent with these objectives(d) a process of ongoing evaluation of the extent to which these objectives are attained, the result of which shall be used to develop and improve the program outcomes so that graduates are better prepared to attain the objectives.Criterion 3. Program Outcomes and Assessment: Although institutions may use differentterminology, for purposes of Criterion 3, program outcomes are statements

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2005 GSW

Authors

Luciana R. Barroso; Jim Morgan

the analysis model was constructed, how the loads were determined, how to estimate initial dimensions, etc. b) Learn in a rigorous way the basic principles of structural analysis, then in detail simple approximate methods to estimate forces and deflections, conducting finally more accurate analyses with existing computer software to assess the validity of their estimates. c) Use computer software to carry out a large number of analyses of actual or realistic structures to gain familiarity with the expected order of magnitude of dimensions, loads, forces and deflections and the structural behavior. This should provide experience equivalent to various years of practice in an engineering office. It requires

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2005 GSW

Authors

Paul R. Corder

simulation.Examples of the Challenge This teaching challenge is addressed in this paper through comparative assessmentof the results of using different FEA software to estimate the performance of objects tothe same load and boundary conditions. The two objects chosen were a cantileveredbeam and a triangular bracket. Consider first the cantilevered beam shown in Figure 1.Example 1: Cantilevered Beam, Transversely Loaded at its Free End For this steel beam example, a = 1”, b = 2”, c = 1” and L = 12”. A 1,000 lbf load isapplied as an end load downward. The four stress response estimates, two analytical andtwo FEA, are expected to be close to each other. How close is “close enough” is thechallenge for the student

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2005 GSW

Authors

Zhenyu Zhang; Yeshwanth Sampath; Dr. Rita Caso; Amy Collins

number of majors ever attempted in an engineering college.Consecutive enrollment refers to students’ uninterrupted attendance in college, and itsvalue is given by the number of consecutive enrollment semesters in college.Concurrent enrollment refers to the situation where a college student concurrentlyenrolls in multiple institutions. Concurrent enrollment is measured by the number ofsemesters in which the student concurrently enrolled in more than one institution.As indicated earlier, each null hypothesis is tested: (a) between men and women; (b)among different ethnicities; (c) between natives and transfers; and (d) between studentswho ever practiced concurrent enrolment and those who did not. For example,Hypothesis (H) #2 c posits that native

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2005 GSW

Authors

Mohan Ketkar

Electrical Engineering Technology Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering Educationprogram at the Prairie View A&M University (PVAMU), I had an opportunity to prepare andpresent our program for accreditation to the TAC-ABET evaluators last fall.The program outcomes are described in the ‘Criteria for Engineering Technology Programs’ 2.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

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2005 GSW

Authors

Scott Starks; Sally Blake; Eric MacDonald

&pageno=1.7. Starks, S, S. Blake and M. Tshoshanov, “Using Rockets to Stimulate Interest in Science and Mathematics,” Proceedings of IEEE Aerospace Conference, CD-ROM, Big Sky, MT, Feb. 2003.8. Twiggs, B., Getting Started with Space Craft Hardware, Colorado Space Grant Consortium Workshop CD-ROM, Boulder, CO, 2002.9. Blake, S. and S. Starks, Texas PreFreshman Engineering Program, Final Report, 2004.10. El Paso Chapter of Texas PreFreshman Engineering Program website, http://research.utep.edu/Default.aspx?tabid=13328.SCOTT A. STARKSDr. Starks currently serves as Professor of Electrical and Computer Engineering and Director of the Pan AmericanCenter for Earth and Environmental Studies, a NASA-sponsored University Research Center

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2005 GSW

Authors

Rita Caso; Kristi J. Shryock; Jo Howze; Jeffrey Froyd; Arun R. Srinivasa

. Students who had elected to major in Aerospace, Civil, Industrial, or Mechanical Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering EducationEngineering were assigned to Track A. Students who had elected to major in Computer orElectrical Engineering were assigned to Track B. Students who had elected to major inBiomedical, Chemical, or Petroleum Engineering were assigned to Track C. Content of the twofirst-year engineering courses in each track was modified to reflect the goals of faculty membersin departments associated with each track. However, if students change majors

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2005 GSW

Authors

Pradeep Bhattacharya; Nikhil Modi; Fred Lacy

Laboratory, Haque, Mohammed E., 31st ASEE/IEEE Frontiers in Education Conference, Session T1C, 20012. Visualization Techniques for Complex Processes in Solid State Engineering, Scott, C., Wake, D., ASEE Annual Conference Proceeding, Sec 3532, 19973. Documentation from URL: http://www.vrco.com, website of the software company that supports CaveLibTM4. Solid State Electronic Devices, Streetman, B., Banerjee, S., 5th Edition, 1999NIKHIL MODIMr. Modi is a graduate student at the College of Engineering, Southern University, Baton Rouge. He hasalso been a Teaching Assistant at the Department of Electrical Engineering. A proficient VC++programmer, he has great interest in computer graphics, computational fluid dynamics, and

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2005 GSW

Authors

Cyrus K. Hagigat

accelerationof the single degree of freedom system respectively. Figure 7 is an illustration of ageneralized single degree of a freedom system.3 Figure 7: (a) Single Degree of Freedom (SDOF) system with viscous damping (b) Partial free-body diagram of the SDOF system3The general equation of motion for a multi degree of freedom system can be expressed inmatrix form as shown in equation 11.3[ M ]{U} + [C ]{U } + [ K ]{U } = {P(T )} (11)In equation (11), [M] is the mass matrix, [C] is the damping matrix and [K] is thestiffness matrix. {P(T)} is the excitation force matrix as a function of time. {U}, { U }and { U } are the displacement, velocity and acceleration matrices respectively. Assuming“n” defines the number of

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2005 GSW

Authors

Aiman S. Kuzmar, City of Corpus Christi, TX

Engineering Education, Vol. 92, No. 1, pp. 57-63, January 2003.3. Foulds, R., Bergen, M., and Mantilla, B., Integrated Biomedical Engineering Education Using Studio-Based Learning, IEEE Engineering in Medicine and Biology Magazine, Vol. 22, Issue 4, pp. 92-100, July/August 2003. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society of Engineering Education4. Major, C., Implementing Problem-Based Learning in Undergraduate Education, The Journal of General Education, Vol. 51, No. 4, pp. 235-334, 2002.5. Navaz, H., A New Approach to Teaching Undergraduate Thermal/Fluid

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2005 GSW

Authors

Titilope Z. Alagun; Shahryar Darayan

detect when the chicken house becomes dark. b. Food Supply Unit: The food unit was designed using a plastic bucket whose lower part is shaped like a funnel. The food plate is placed directly under the plastic bucket. At the bottom of the bucket is a gate which is controlled by one of the relays. The gate opens when the relay switch is on and food comes out to the food plate. When the relay switch is off, the gate is closed. The setting of the relay for the food unit is done by the operator. c. Water Supply Unit: The water unit has a water tank and bucket to collect water. The unit is controlled by one of the relays. The tank has a valve that is connected to the relay. When the relay switch is on, the valve

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2005 GSW

Authors

Tomás Quintero; Hector Estrada

pressures, which may lead to breaching of thebuilding envelope (the exterior surface of the building). The building envelope serves twopurposes during an extreme wind event: a) to keep out the rain accompanying the storm and b) tokeep the building from inflating (or deflating) as a result of the external wind pressures. This lastcase is the most critical because as the building envelope is breached, say from the winddirection, the building is pressurized, thus causing it to break apart (see Figure 2). Flying debrisalso pose a significant threat to buildings and the lives of those who find themselves in the pathof a storm. As discussed in the last section, debris primarily in the form of timber shards acts asmissiles, and may pack momentums larger